Latest News2015-12-02T10:52:51+00:00
2110, 2022

WINNER of the The 2022 Administration Council Excellence Award to doctorates

By |October 21st, 2022|Categories: News|

Synchromedia est  ravi d'annoncer que Abderrahmane Rahiche a été nommé lauréat du Council Excellence Award d'administration au doctorat de l'année 2022. Le concours auquel il a participé vise à mettre en lumière qualité exceptionnelle des travaux de recherche des doctorants et de reconnaître leur formation de spécialistes de haut niveau. Ce prix est accompagné d'une bourse de 2 500 $.   Synchromedia is thrilled to announce that Abderrahmane Rahiche has been [...]

905, 2022

Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services

By |May 9th, 2022|Categories: 2016, Publications|Tags: , , , , |

Despite recent efforts and important results already achieved, the reduction of energy consumption and carbon emissions by Information and Communication Technologies is still far from the expected goals. As the annual growth in traffic is doubling every two years with more and more connections to the Internet, to be energy and carbon-aware it is paramount to implement a Monitoring and Measurement System which supports green strategies in a geographically distributed [...]

2016 12th International Conference on Network and Service Management (CNSM)|

905, 2022

Historical documents dating using multispectral imaging and ordinal classification

By |May 9th, 2022|Categories: 2020, Publications|Tags: , , , |

The estimation of the age of undated old manuscripts is one of the most challenging and controversial tasks in the field of historical document analysis. Several dating methods have been proposed, but most of them either use destructive techniques or rely on the textual information of documents. In this work, we rather focus our attention on the discoloration and the changes in the optical proprieties of their writing materials, which [...]

905, 2022

KFBin: Kalman Filter-Based Approach for Document Image Binarization

By |May 9th, 2022|Categories: 2019, Publications|Tags: , |

In this paper, we propose a novel two-step approach, called KFBin, for the binarization of document images based on the Kalman filtering (KF) technique. In the first step, a state space model is developed as a new document image representation, and then the Kalman filter is applied to track the positions of the foreground and background information and generate two corresponding outputs, which allows the enhancement of the foreground content [...]

International Conference on Image Analysis and Recognition|

905, 2022

Kernel Orthogonal Nonnegative Matrix Factorization: Application to Multispectral Document Image Decomposition

By |May 9th, 2022|Categories: 2021, Publications|Tags: , |

As a nonlinear extension of the standard nonnegative matrix factorization (NMF), kernel-based variants have demonstrated to be more effective for discovering meaningful latent features from raw data. However, many existing kernel methods allow only obtaining the basis matrix in the projected feature space, which prevents its inverse mapping back to the original space as requested in many applications. In this work, we propose a new kernel orthogonal NMF method that [...]

ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)|

905, 2022

Blind Decomposition of Multispectral Document Images Using Orthogonal Nonnegative Matrix Factorization

By |May 9th, 2022|Categories: 2021, Publications|Tags: , |

This paper addresses the challenge of Multispectral (MS) document image segmentation, which is an essential step for subsequent document image analysis. Most previous studies have focused only on binary (text/non-text) separation. They also rely on handcrafted features and techniques dedicated to conventional images that do not take advantage of MS images' spectral richness. In this work, we reformulate this task as a source separation problem, whereby we target the blind [...]

905, 2022

Forgery Detection in Hyperspectral Document Images using Graph Orthogonal Nonnegative Matrix Factorization

By |May 9th, 2022|Categories: 2020, Publications|Tags: , |

The analysis of inks plays a crucial role in the examination process of questioned documents. To address this issue, we propose a new approach for ink mismatch detection in Hyperspectral document (HSD) images based on a new orthogonal and graph regularized Nonnegative Matrix Factorization (NMF) model. Although some previous works have proposed orthogonality constraints to solve clustering problems in different contexts, the application of such constraints is not straightforward due [...]

IEEE/CVF conference on computer vision and pattern recognition workshops|

805, 2022

Feature learning for footnote-based document image classification

By |May 8th, 2022|Categories: 2017, Publications|Tags: , , , , , , |

Classifying document images is a challenging problem that is confronted by many obstacles; specifically, the pivotal need of hand-designed features and the scarcity of labeled data. In this paper, a new approach for classifying document images, based on the availability of footnotes in them, is presented. Our proposed approach depends mainly on a Deep Belief Network (DBN) that consists of two phases, unsupervised pre-training and supervised fine-tuning. The main advantage [...]

International Conference Image Analysis and Recognition|

805, 2022

Unsupervised exemplar-based learning for improved document image classification

By |May 8th, 2022|Categories: 2019, Publications|Tags: , , |

Many recent state-of-the-art approaches for document image classification are based on supervised feature learning that requires a large amount of labeled training data. In real-world problem of document image classification, the available amount of labeled data is limited and scarce while a large amount of unlabeled data is often available at almost no cost. In this paper, we present an approach for learning visual features for document analysis in an [...]

IEEE Access ( Volume: 7)|

405, 2022

Weakly supervised bounding box extraction for unlabeled data in table detection

By |May 4th, 2022|Categories: 2021, Publications|Tags: , , , |

Most of the table detection tasks are using existing off- the-shelf methods for their detection algorithm. However, datasets that are used for evaluation are not challenging enough due to the lack of quantity and diversity. To have a better comparison between proposed methods we introduce the NAS dataset in this paper for historical digitized images. Tables in historic scientific documents vary widely in their characteristics. They also appear alongside visually [...]

International Conference on Pattern Recognition (ICPR)|

405, 2022

Towards More Reliable Deep Learning-Based Link Adaptation for WiFi 6

By |May 4th, 2022|Categories: Uncategorized|Tags: , , , |

The problem of selecting the modulation and coding scheme (MCS) that maximizes the system throughput, known as link adaptation, has been investigated extensively, especially for IEEE 802.11 (WiFi) standards. Recently, deep learning has widely been adopted as an efficient solution to this problem. However, in failure cases, predicting a higher-rate MCS can result in a failed transmission. In this case, a retransmission is required, which largely degrades the system throughput. [...]

205, 2022

Game Theoretic Reinforcement Learning Framework For Industrial Internet of Things

By |May 2nd, 2022|Categories: 2022, Publications|Tags: , , |

The fifth-generation (5G) wireless network provides high-rate, ultra-low latency, and high-reliability connections that can meet the industrial IoT requirements in factory automation, especially for swarm robotics communication. In this paper, we address 5G service provisioning in an automated warehouse scenario where swarm robotics is controlled by an industrial controller that provides routing and job instructions over the 5G network. Leveraging the coordinated multipoint (CoMP), we formulate a joint CoMP clustering [...]

IEEE Wireless Communications and Networking Conference 2022|

205, 2022

Computing on Wheels: A Deep Reinforcement Learning-Based Approach

By |May 2nd, 2022|Categories: 2022, Publications|Tags: |

Future generation vehicles equipped with modern technologies will impose unprecedented computational demand due to the wide adoption of compute-intensive services with stringent latency requirements. The computational capacity of the next generation vehicular networks can be enhanced by incorporating vehicular edge or fog computing paradigm. However, the growing popularity and massive adoption of novel services make the edge resources insufficient. A possible solution to overcome this challenge is to employ the [...]

IEEE Transactions on Intelligent Transportation Systems |

205, 2022

Energy-aware Control Of UAV-based Wireless Service Provisioning

By |May 2nd, 2022|Categories: 2021, Publications|Tags: , , |

Unmanned aerial vehicle (UAV)-assisted communications have several promising advantages, such as the ability to facilitate on-demand deployment, high flexibility in network reconfiguration, and high chance of having line-of-sight (LoS) communication links. In this paper, we aim to optimize the UAV control for maximizing the UAV's energy efficiency, in which both aerodynamic energy and communication energy are considered while ensuring the communication requirements for each ground terminal (GT) and backhaul link [...]

2021 IEEE Global Communications Conference (GLOBECOM)|

205, 2022

Deep Reinforcement Learning for URLLC in 5G Mission-Critical Cloud Robotic Application

By |May 2nd, 2022|Categories: 2021, Publications|Tags: , , , |

In this paper, we investigate the problem of robot swarm control in 5G mission-critical robotic applications, i.e., in an automated grid-based warehouse scenario. Such application requires both the kinematic energy consumption of the robots and the ultra-reliable and low latency communication (URLLC) between the central controller and the robot swarm to be jointly optimized in real-time. The problem is formulated as a nonconvex optimization problem since the achievable rate and [...]

2021 IEEE Global Communications Conference (GLOBECOM)|

205, 2022

Deep Q-Learning for Joint Server Selection, Offloading, and Handover in Multi-access Edge Computing

By |May 2nd, 2022|Categories: 2021, Publications|Tags: , |

In this paper, we propose a deep reinforcement learning (DRL) based approach to solving the problem of joint server selection, task offloading and handover in a multi-access edge computing (MEC) wireless network. The 5G networks tend to have a large number of users and MEC servers involving large numbers of different states and actions (both continuous and discrete), in which evaluating every possible combination becomes very challenging for traditional DRL [...]

ICC 2021 - IEEE International Conference on Communications|

205, 2022

UAV Control for Wireless Service Provisioning in Critical Demand Areas: A Deep Reinforcement Learning Approach

By |May 2nd, 2022|Categories: 2021, Publications|Tags: , , |

In this paper, we investigate the problem of wireless service provisioning through a rotary-wing UAV which can serve as an aerial base station (BS) to communicate with multiple ground terminals (GTs) in a boost demand area. Our objective is to optimize the UAV control for maximizing the UAV.s energy efficiency, in which both aerodynamic energy and communication energy are considered while ensuring the communication requirements for each GT and backhaul [...]

IEEE Transactions on Vehicular Technology |

205, 2022

Joint Server Selection, Cooperative Offloading and Handover in Multi-access Edge Computing Wireless Network: A Deep Reinforcement Learning Approach

By |May 2nd, 2022|Categories: 2020, Publications|Tags: , |

In this paper, we consider a multi-user MEC wireless network in which multiple mobile devices can associate and perform computation offloading via wireless channels to MEC servers attached to the base stations. The decision whether the computation task is executed locally at the user device or to be offloaded for MEC server execution should be adaptive to the time-varying network dynamics. Taking into account the dynamic of the environment, we [...]

IEEE Transactions on Mobile Computing|

205, 2022

Energy disaggregation using variational autoencoders

By |May 2nd, 2022|Categories: 2022, Publications|Tags: , , , |

Non-intrusive load monitoring (NILM) is a technique that uses a single sensor to measure the total power consumption of a building. Using an energy disaggregation method, the consumption of individual appliances can be estimated from the aggregate measurement. Recent disaggregation algorithms have significantly improved the performance of NILM systems. However, the generalization capability of these methods to different houses as well as the disaggregation of multi-state appliances are still major [...]

205, 2022

Crosstalk Suppression in Semi-Intrusive Load Monitoring Systems Using Hall Effect Sensors

By |May 2nd, 2022|Categories: 2020, Publications|Tags: , , |

Semi-intrusive load monitoring (SILM) is an appliance load monitoring approach using multiple meters, each meter measuring power for a subgroup of appliances. As an effective solution for demand response programs, SILM is used to get granular power measurements at the level of individual appliances in buildings. Hall effect sensors (HES) on each wire attached to a circuit breaker in distribution panels are one means of providing SILM. However, HES are [...]

205, 2022

OpenFlow Rule Placement In Carrier Networks For Augmented Reality Applications

By |May 2nd, 2022|Categories: 2022, Publications|Tags: , , |

Today, mobile consumers increasingly use Augmented Reality (AR) devices to stream personal video through carrier networks. Thanks to its flexibility, Software-Defined Networking (SDN) is deployed in many carrier networks to support end-to-end network-slicing, which is substantial for these AR applications. In an OpenFlow-enabled SDN network, a controller must decide the rules to be placed into the switches in the network, subject to multiple constraints such as memory capacity, link bandwidth [...]

The 37th ACM/SIGAPP Symposium on Applied Computing (SAC ’22)|

205, 2022

TaijiGNN: A New Cycle-Consistent Generative Neural Network for High-Quality Bidirectional Transformation between RGB and Multispectral Domains

By |May 2nd, 2022|Categories: 2021, Publications|Tags: , , , , |

Since multispectral images (MSIs) and RGB images (RGBs) have significantly different definitions and severely imbalanced information entropies, the spectrum transformation between them, especially reconstructing MSIs from RGBs, is a big challenge. We propose a new approach, the Taiji Generative Neural Network (TaijiGNN), to address the above-mentioned problems. TaijiGNN consists of two generators, G_MSI, and G_RGB. These two generators establish two cycles by connecting one generator’s output with the other’s input. [...]

205, 2022

Model-based Approach to Data Center Design and Power Usage Effectiveness Assessment

By |May 2nd, 2022|Categories: 2018, Publications|Tags: , , , , |

Data Centers (DC) are complex systems, which provide an environment to host Information and Technologies (IT) equipment. DCs are typically composed of a variety of components including servers, storage systems, networking infrastructures in addition to non-IT equipment such as power distribution and cooling systems. In order for a DC to function properly, all of its components need to be correctly configured and integrated. However, the variety of configurations and the [...]

205, 2022

Multispectral Image Reconstruction From Color Images Using Enhanced Variational Autoencoder and Generative Adversarial Network

By |May 2nd, 2022|Categories: 2020, Publications|Tags: , , , , |

Since multispectral images (MSIs) have much more sufficient spectral information than RGB images (RGBs), reconstructing MS images from RGB images is a severely underconstrained problem. We have to generate colossally different information between the two scopes. Almost all previous approaches are based on static and dependent neural networks, which fail to explain how to supplement the massive lost information. This paper presents a low-cost and high-efficiency approach, “VAE-GAN”, based on [...]

205, 2022

Multi features and multi-time steps LSTM based methodology for bike sharing availability prediction

By |May 2nd, 2022|Categories: 2019, Publications|Tags: , , , |

Most cities in the world promote bike-sharing services to encourage people to decrease carbon exhausting and to enhance their health. However, it is a big challenge for a bike-sharing service supplying corporation to re-balance bikes efficiently among different bike-sharing dockers without a forecasting ability. For solving this problem, we contribute two new approaches based on standard Long short-term memory (LSTM), which can not only take advantages of multi features inputs [...]

205, 2022

A hybrid GPU-FPGA based design methodology for enhancing machine learning applications performance

By |May 2nd, 2022|Categories: 2019, Publications|Tags: , , , , |

The high-density computing requirements of machine learning (ML) is a challenging performance bottleneck. Limited by the sequential instruction execution system, traditional general purpose processors are not suitable for efficient ML. In this work, we present an ML system design methodology based on GPU and FPGA to tackle this problem. The core idea of our proposal is when designing an ML platform, we leverage the graphics processing unit (GPU)’s high-density computing [...]

205, 2022

A Hybrid GPU-FPGA-based Computing Platform for Machine Learning

By |May 2nd, 2022|Categories: 2018, Publications|Tags: , , , , |

We present a hybrid GPU-FPGA based computing platform to tackle the high-density computing problem of machine learning. In our platform, the training part of a machine learning application is implemented on GPU and the inferencing part is implemented on FPGA. It should also include a model transplantation part which can transplant the model from the training part to the inferencing part. For evaluating this design methodology, we selected the LeNet-5 [...]

205, 2022

A Two-Stage Unsupervised Deep Learning Framework for Degradation Removal in Ancient Documents

By |May 2nd, 2022|Categories: 2021, Image Processing ML, Publications|

Processing historical documents is a complicated task in computer vision due to the presence of degradation, which decreases the performance of Machine Learning models. Recently, Deep Learning (DL) models have achieved state-of-the-art accomplishments in processing historical documents. However, these performances do not match the results obtained in other computer vision tasks, and the reason is that such models require large datasets to perform well. In the case of historical documents, [...]

International Conference on Pattern Recognition|

205, 2022

Simultaneous Detection of Regular Patterns in Ancient Manuscripts Using GAN-Based Deep Unsupervised Segmentation

By |May 2nd, 2022|Categories: 2021, Image Processing ML, Publications|

Document Information Retrieval has attracted researchers’ attention when discovering secrets behind ancient manuscripts. To understand such documents, analyzing their layouts and segmenting their relevant features are fundamental tasks. Recent efforts represent unsupervised document segmentation, and its importance in ancient manuscripts has provided a unique opportunity to study the said problem. This paper proposes a novel collaborative deep learning architecture in an unsupervised mode that can generate synthetic data to avoid [...]

International Conference on Pattern Recognition|

105, 2022

Federated Imitation Learning: A Cross-Domain Knowledge Sharing Framework for Traffic Scheduling in 6G Ubiquitous IoT

By |May 1st, 2022|Categories: 2021, Publications|Tags: , , , |

The ubiquitous Internet of Things (IoT) system is a key component of future 6G networks to realize a fully connected world. Extensive efforts have been made to provide on-demand traffic scheduling in IoT networks through machine learning algorithms. However, the current learning approaches are hindered by the heterogeneous information in ubiquitous IoT systems since the data are collected from different domains (e.g., space, air, ground, and ocean). To uncover the [...]

1504, 2022

Routing and Packet Scheduling For Virtualized Disaggregate Functions in 5G O-RAN Fronthaul

By |April 15th, 2022|Categories: 2021, Publications|Tags: , , |

Abstract: Open Radio Access Network (O-RAN) is an innovative RAN architecture designed to revolutionize 5G and beyond mobile networks. O-RAN virtualizes the fronthaul network functions into O-RAN Centralized Unit (O-CU), O-RAN Distributed Unit (O-DU) and O-RAN Radio Unit (O-RU). Unfortunately, no standard data communication mechanism has been defined for the communication between these elements. Therefore, O-DUs may not work efficiently in O-DU pool, limiting the RAN performance. This paper investigates [...]

IEEE Global Communications Conference (GLOBECOM)|

804, 2022

Graduation Announcement and Honor for Ph.D. student, RAHICHE Abderrahmane

By |April 8th, 2022|Categories: News|

Congratulations! We are so glad and proud to announce the Honor being deserved to our colleague RAHICHE Abderrahmane following his PhD graduation in January 2022. RAHICHE was supervised by Prof. Mohamed Cheriet from System Engineering Department.  We are very pleased to let you know that, as a result of his outstanding academic results, his name appears on the 2021 ÉTS Honour List. The Honour List is posted on the ÉTS website. His name [...]

804, 2022

Graduation Announcement and Honor for Ph.D. student, XU LIU 

By |April 8th, 2022|Categories: News|

Congratulations! We are so glad and proud to announce the Honor being deserved to our colleague XU LIU following his PhD graduation in November 2021. XU was supervised by Prof. Abdelouahed Gherbi from Software and IT Dept and co-supervised by Prof. Mohamed Cheriet. We are very pleased to let you know that, as a result of his outstanding academic results, his name appears on the 2021 ÉTS Honour List. The Honour List is [...]

803, 2022

TV show following the MoU signature between ÉTS and University of Bari (Italy), Jan 2022. 

By |March 8th, 2022|Categories: News|

TV show Speciale Antena Sud Italia, MoU signature and partnership ÉTS and University of Bari, Jan 2022.   The TV shows following the signature and partnership between the École de technologie supérieure (ÉTS) and The University of Bari Aldo Moro is a higher education institution in Bari, Apulia, in Southern Italy. https://www.youtube.com/watch?v=ojo_Nuj2jNY https://youtu.be/ojo_Nuj2jNY : TV show Speciale Antena Sud Italia, MoU signature and partnership ÉTS/University of Bari, Jan 2022.

3112, 2021

CEOS Net: Intelligent Cyber Value Chain Network

By |December 31st, 2021|Categories: telecommunication-networking-ml|

Project Title: Intelligent Cyber Value Chain Network (CEOSNet) Back Project Investigators: Prof. Mohamed Cheriet (ÉTS),  Soumaya Yacout (Polytechnique Montréal)​ Partner: Ecole Polytechnique de Montreal, Concordia University, Laval University,  University of Sherbrooke, UQAM, Jacobb College, Productique Quebec  College Project Funder: Canada Foundation for Innovation (CFI) Description: What problem are we solving? Recently, Canada’s manufacturing sector has experienced a heavy decline in employment and overall output, which results in a sizable adverse effect on our [...]

1611, 2020

Ph.D. and M.Sc internship offers in Applied Artificial Intelligence (AAI) for Corporate Data

By |November 16th, 2020|Categories: Position|

University of Sherbrooke in partnership with Synchromedia Lab at École de Technologie Supérieure (ÉTS) is carrying out research on AAI for business assessment. The aim is to research and develop a state-of-the-art Machine Learning models and Data Analytics methodologies targeting corporate data. Students who are already enrolled in a master or a PhD in their universities can benefit from these internships, given a co-supervision agreement setup. This is a call [...]

1611, 2020

Ph.D. and M.Sc internship offers in Applied Artificial Intelligence (AAI) for Sustainability

By |November 16th, 2020|Categories: Uncategorized|

University of Québec à Chicoutimi (UQAC) with Synchromedia Lab at École de Technologie Supérieure (ÉTS) is carrying out research in Applied data science and AI in sustainability transition. Students who are already enrolled in a master or a PhD in their universities can benefit from these internships, given a co-supervision agreement setup. This is a call for applications under interuniversity partnership. For more additional details, please see the description and [...]

3008, 2020

Canada Research Chair In Sustainable Smart Eco-Cloud

By |August 30th, 2020|Categories: telecommunication-networking-ml|Tags: |

Project Title: Canada Research Chair In Sustainable Smart Eco-Cloud Project Investigators: Partner: Project Funder: Social Sciences and Humanities Research Council of Canada (SSHRC)       Description: What problem are we solving? Chairholder Mohamed Cheriet is addressing issues related to a sustainable smart eco-cloud platform, which is a virtual and analytical system capable of deep, complex computation and intelligent behaviors performed in an energy-efficient and eco-friendly manner. By means of smart meters, [...]

2108, 2020

Routing and Packet Scheduling in LoRaWANs-EPC Integration Network

By |August 21st, 2020|Categories: 2020, Publications|Tags: , , , |

Abstract: Recently, Mobile Network Operators are considering the integration of LoRaWAN in their Evolved Packet Core (EPC) to expand their business, and to improve the interoperability and multi-vendor integration in their networks. In such integration, a LoRa gateway can implement the virtual base station function of eNodeB protocol stacks to forward LoRa packets through EPC to the application servers. Unfortunately, the current integration of LoRa and the mobile access according [...]

2020 IEEE Global Communications Conference: Selected Areas in Communications: Internet of Things and Smart Connected Communities |

2108, 2020

Self-Optimization Fabric (SOF) for ENCQOR Network

By |August 21st, 2020|Categories: telecommunication-networking-ml|

Project Title: Self-Optimization Fabric (SOF) for ENCQOR Network Project Investigators: Prof. Mohamed Cheriet, Prof. Kim Khoa Nguyen Partner: Ciena Project Funder: MITACS Description: What problem are we solving? 5G is revolutionary in many ways but what makes it unique is that it is the first generation of networking that makes connectivity as pervasive as the air we breathe in. Imagine the user landscape that would emerge from the confluence of robotics and [...]

2108, 2020

CANARIE – Green Star Network

By |August 21st, 2020|Categories: telecommunication-networking-ml|

Project Title: CANARIE – Green Star Network Project Investigators: Partner: Project Funder:                   Description: What problem are we solving? The goal of the GreenStar Network Project is to initiate a Canadian consortium of industry, universities and government agencies with the common goal of reducing greenhouse gas (GHG) emissions arising from information & communication technology (ICT) services. The expected result is the creation [...]

2108, 2020

CIENA – “Smart V-WAN Hypervisor for Inter Data Centre Network”

By |August 21st, 2020|Categories: telecommunication-networking-ml|

Project Title: CIENA – “Smart V-WAN Hypervisor for Inter Data Centre Network” Project Investigators: Partner: Ciena Project Funder: NSERC,PROMPT Québec, Ciena and Inocybe Technologies         Description: What problem are we solving? Along with the advent of the ever-increasing cloud computing applications on the Internet, WAN-based services are contributing significantly to the overall environmental footprint of the Information and Communications Technologies (ICT) industry. With an increase in traffic [...]

2108, 2020

Sustainable and Green Telco Cloud

By |August 21st, 2020|Categories: telecommunication-networking-ml|

Project Title: Sustainable and Green Telco Cloud Project Investigators: Partner:  Ericsson, Inocybe Technologies, NSERC-CRD, MITACS, University of Toronto, CIRAIG (ÉcolePolytechnique de Montréal) Project Funder:  NSERC-CRD, Ericsson, Inocybe Technologies and MITACS   Description: What problem are we solving? Reducing greenhouse gas (GHG) emissions caused by the extremely widespread use of electronic devices and telecommunications services in the Information and Communications Technologies (ICT) industry is emerging in Canada and throughout the world. Cloud computing, [...]

2108, 2020

Sustainable Cloud-based M2M Smart Home

By |August 21st, 2020|Categories: telecommunication-networking-ml|

Project Title: Sustainable Cloud-based M2M Smart Home Project Investigators: Partner:  The project will strengthen the academia-industry-government collaboration involving the ÉTS, CIRODD, CIRAIG (École Polytechnique de Montréal), Ericsson, Videotron, Homebeaver and Varitron. Project Funder:     Description: What problem are we solving? The Machine-to-Machine (M2M) communications paradigm, a novel automated exchange of data among autonomous devices without human intervention, is crucial for the networked society and is shaping the evolution of [...]

2108, 2020

Sustainable Smart ÉTS Residence Testbed

By |August 21st, 2020|Categories: telecommunication-networking-ml|

Project Title: Sustainable Smart ÉTS Residence Testbed Project Investigators: Partner: CFI, CRC, ÉTS, Quartier de l’innovation, Ericsson Canada, Videotron. Project Funder: Canadian Foundation for Innovation (CFI)   Description: What problem are we solving? The Sustainable Smart ÉTS Residence (StarÉTS) project is aimed at building a platform for supporting the research program of the Canada Research Chair (CRC) Tier 1 on Sustainable Smart Eco-Cloud held by Professor Mohamed Cheriet. It is [...]

2108, 2020

PANLAB I Pan European Laboratory for Next Generation Networks and Services (FP6)

By |August 21st, 2020|Categories: telecommunication-networking-ml|

Project Title: PANLAB I Pan European Laboratory for Next Generation Networks and Services (FP6) Project Investigators: Partner: Synchomedia consortium Project Funder:   Description: What problem are we solving? The Synchomedia consortium is a partner in the European project entitled PANLAB 1 (2006-2008). This is a specific research project that is part of a larger set of European activities: The PANLAB (Pan European Laboratory) for Next Generation Networks and Services research [...]

2108, 2020

PANLAB II – Implementation of Panlab I Project (FP7)

By |August 21st, 2020|Categories: telecommunication-networking-ml|

Project Title: Implementation of Panlab I Project (FP7) Project Investigators: Partner: Project Funder: Description: What problem are we solving? In order to assure the leading role of Europe in the area of Telecommunications, the European Commission renewed its support to the PANLAB project as part of the FIRE initiative (Future Internet Research and Experimentation) of the 7th European Frame Program (FP7). Its core mission is the implementation of the PANLAB [...]

2108, 2020

Visibility of knowledge

By |August 21st, 2020|Categories: Image Processing ML|

Project Title: Visibility of knowledge Project Investigators: Partner: Project Funder: Description: What problem are we solving?   Bringing together a team of humanists and computer scientists, we are interested in understanding how visual techniques, such as the use of footnotes, diagrams, tables and mimetic representations of objects, were used to engage the public and make new ideas accessible. Rather than focus exclusively on language, we want to know more about [...]

2108, 2020

Global Currents: Cultures of Literary Networks, 1050-1900

By |August 21st, 2020|Categories: Image Processing ML|

Project Title: Cultures of Literary Networks, 1050-1900 Project Investigators: Andrew Piper, McGill University, Canada; Mohamed Cheriet, École de technologie supérieure, Canada; Elaine Treharne, Stanford University, United States; Lambert Schomaker, University of Groningen, The Netherlands Partner: Project Funder:   Description: What problem are we solving? In what ways have different cultures in different periods approached the page? Regardless of material, size, or the word used to designate it (page itself only [...]

2108, 2020

Indian Ocean World MCRI – (Major Collaborative Research Project) 2010-2017

By |August 21st, 2020|Categories: Image Processing ML|

Project Title: Indian Ocean World MCRI Project Investigators: Prof. Mohamed Cheriet Partner: Project Funder: Social Sciences and Humanities Research Council of Canada (SSHRC) Description: What problem are we solving?   This project investigates the rise and development of the world’s first “global economy” in the context of human-environment interaction from early times to the present day. The region under study is the Indian Ocean world (IOW), an arena of primary geopolitical [...]

2108, 2020

MDEIE Project with IMADOC, Rennes

By |August 21st, 2020|Categories: Image Processing ML|

Project Title: MDEIE Project with IMADOC, Rennes Project Investigators: Partner: Project Funder:     Description: What problem are we solving?   An MDEIE (Quebec’s Ministry of Economic Development, Innovation and Export Trade) funding was recently awarded to Prof. Cheriet as Project Leader of SynchroMedia Consortium, under a unified international research initiative. This project deals with the editing and understanding of online handwriting collaborative annotations. The aim of this research is to [...]

2108, 2020

ENIT Project AUF

By |August 21st, 2020|Categories: Image Processing ML|

Project Title: Agence Universitaire de la Francophonie Project Investigators: Partner:  ENIT from Tunis, University of Paris 5, and Synchromedia Project Funder:       Description: What problem are we solving?   An AUF funding was awarded to Prof. Cheriet as Project Leader of SynchroMedia Consortium, under a unified international research initiative. In the same line, we joined a Francophone effort supported by AUF to support eLearning or distance learning and [...]

2108, 2020

Sustainable Cloud-based M2M Smart Home

By |August 21st, 2020|Categories: telecommunication-networking-ml|Tags: |

Project Title: Self-Optimization Fabric (SOF) for ENCQOR Network Project Investigators: Partner: ÉTS, CIRODD, CIRAIG (École Polytechnique de Montréal), Ericsson, Videotron, Homebeaver and Varitron Project Funder: NSERC-RDC Description: What problem are we solving? The Machine-to-Machine (M2M) communications paradigm, a novel automated exchange of data among autonomous devices without human intervention, is crucial for the networked society and is shaping the evolution of the future Internet and the Internet of Things (IoT) [...]

2108, 2020

Sustainable and Green Telco Cloud

By |August 21st, 2020|Categories: telecommunication-networking-ml|Tags: |

Project Title: Sustainable and Green Telco Cloud Project Investigators: Partner: Ericsson, Inocybe Technologies, NSERC-CRD, MITACS, University of Toronto, CIRAIG (ÉcolePolytechnique de Montréal). Project Funder: NSERC-CRD, Ericsson, Inocybe Technologies and MITACS             Description: What problem are we solving? Reducing greenhouse gas (GHG) emissions caused by the extremely widespread use of electronic devices and telecommunications services in the Information and Communications Technologies (ICT) industry is emerging in [...]

2108, 2020

Sustainable Smart ÉTS Residence testbed

By |August 21st, 2020|Categories: telecommunication-networking-ml|Tags: |

Project Title: Sustainable Smart ÉTS Residence testbed Project Investigators: Partner:  CFI, CRC, ÉTS, Quartier de l’innovation, Ericsson Canada, Videotron. Project Funder:  Canadian Foundation for Innovation (CFI)                     Description: What problem are we solving? The Sustainable Smart ÉTS Residence (StarÉTS) project is aimed at building a platform for supporting the research program of the Canada Research Chair (CRC) Tier 1 on Sustainable [...]

2108, 2020

CIENA – “Smart V-WAN Hypervisor for Inter Data Centre Network”

By |August 21st, 2020|Categories: Image Processing ML|Tags: |

Project Title: Smart V-WAN Hypervisor for Inter Data Centre Network Project Investigators: Partner: Project Funder: NSERC,PROMPT Québec, Ciena and Inocybe Technologies       Description: What problem are we solving?   Along with the advent of the ever-increasing cloud computing applications on Internet, WAN-based services are contributing significantly to the overall environmental footprint of the Information and Communications Technologies (ICT) industry. With an increase in traffic demand and heterogeneity of [...]

2108, 2020

Global Currents: Cultures of Literary Networks, 1050 -1900

By |August 21st, 2020|Categories: Image Processing ML|Tags: |

Project Title: Digging into Data - DIDC Project 2013           Project Investigators: Partner: Project Funder: Social Sciences and Humanities Research Council of Canada (SSHRC), Natural Sciences and Engineering Research (NSERC) and Canadian Foundation for Innovation (CFI)   Description: What problem are we solving? The International, multi-disciplinary project is based on the Indian Ocean World (IOW) project with cross-cultural study of literary networks in a global context by integrating new [...]

2108, 2020

Indian Ocean World

By |August 21st, 2020|Categories: Image Processing ML|Tags: |

Project Title: The Indian Ocean World: The Making of the First Global Economy in the Context of Human-Environment Interaction Project Investigators: Partner: Project Funder: Social Sciences and Humanities Research Council of Canada (SSHRC)     Description: What problem are we solving? This innovative project is a large, international and multi-disciplinary program of collaborative research that aims to examine the history of human-environment interaction in the Indian Ocean World—an arena of [...]

2108, 2020

Green Star Network

By |August 21st, 2020|Categories: telecommunication-networking-ml|Tags: |

The goal of the GreenStar Network Project is to initiate a Canadian consortium of industry, universities, and government agencies with the common goal of reducing greenhouse gas (GHG) emissions arising from information & communication technology (ICT) services. The expected result is the creation of tools, protocols, procedures, use cases for a growing network of ICT service providers that offers customers the lowest price and greenest services. The project is innovative [...]

2108, 2020

PANLAB I – Pan European Laboratory for Next Generation Networks and Services (FP6)

By |August 21st, 2020|Categories: Image Processing ML|Tags: |

Project Title: Pan European Laboratory for Next Generation Networks and Services Project Investigators: Partner: Eurescom, Alcatel, Thomson, Nokia, Telefonica, France Telecom, Italtel, DIMES Association, Fraunhofer/Focus, RAD and École de Technologie Supérieure (ÉTS) Project Funder:       Description: What problem are we solving? The Synchomedia consortium is a partner in the European project entitled PANLAB 1 (2006-2008). This is a specific research project that is part of a larger set [...]

2108, 2020

PANLAB II – Implementation of Panlab I Project (FP7)

By |August 21st, 2020|Categories: Image Processing ML|Tags: |

Project Title: Implementation of Panlab I Project (FP7) Project Investigators: Partner: Project Funder:       Description: What problem are we solving? In order to assure the leading role of Europe in the area of Telecommunications, the European Commission renewed its support to the PANLABproject aspart of the FIRE initiative (Future Internet Research and Experimentation) of the 7th European Frame Progamme (FP7). Its core mission is the implementation of the [...]

2108, 2020

ENIT Project AUF

By |August 21st, 2020|Categories: Image Processing ML|Tags: |

Project Title: Agence Universitaire de la Francophonie Project Investigators: Partner: Project Funder:       Description: What problem are we solving? An AUF funding was awarded to Prof. Cheriet as Project Leader of SynchroMedia Consortium, under a unified international research initiative. In the same line, we joined a Francophone effort supported by AUF to support eLearning or distance learning and collaborative research. Three partners are involved: ENIT from Tunis, University [...]

2108, 2020

Telepresence

By |August 21st, 2020|Categories: Computational Pattern Analysis|

Remote collaborative working environments aim at reducing time and space constraints by exploiting existing computer and network infrastructures. Such environments become popular in business, education and research institutions. Several integrated environments for supporting collaborative work exist, but there are very few solutions that consider the hardware as well as the software sharing dimension of collaborative workspaces. Research conducted at Synchromedia ultimately resulted in a highly integrated working platform supporting remote [...]

2108, 2020

Intelligent interfaces

By |August 21st, 2020|Categories: Computational Pattern Analysis|

The bottleneck in human-machine interaction is exactly to make the human user and a computer system interact. The system must adapt to the user and the user to the system. Usually, user interfaces shift the entire burden of adaptation to the user. Typically, intelligent interfaces will attempt to adapt to users and model knowledge about them. Ongoing research at Synchromedia addresses the development of intelligent interfaces integrating new perceptual and [...]

2108, 2020

Biomedical image processing

By |August 21st, 2020|Categories: Computational Pattern Analysis|

Information processing is now one of the main frontiers in medical imaging. Modern medical imaging modalities revolutionize many aspect of the practice of medicine. Whereas radiology was previously associated with diagnostic only-application, interventional tools are emerging, thanks to more accurate, more manageable technologies. Advanced methodologies, such as computational anatomy and image-guided procedures, are now reality. They promise a better understanding of the human body and better, less invasive treatments. Those [...]

2108, 2020

Document Processing and Understanding

By |August 21st, 2020|Categories: Computational Pattern Analysis|

Processing of huge volumes of unprocessed, handwritten, and historical documents is a critical challenge in front of many heritage and cultural institutes and organizations. Our main objective in the field of document image processing and understanding is the development and implementation of novel models and techniques which may help in generating, enhancing, presenting and understanding of handwritten document images. Direct involvement of scholars and researchers from various institutes and universities, [...]

2108, 2020

Databases and Contests

By |August 21st, 2020|Categories: Computational Pattern Analysis|

Machine learning for document understanding In order to provide training data for optical shape recognition (OSR), two databases of different sizes have been created in collaboration with Prof. Robert Wisnovsky (Institute of Islamic Studies, McGill University): 1. IBN SINA database: A database of 22720 shapes (fast access and fast access). 2. Avicenna database: A database of 123,007 labeled and not labeled shapes (fast access). 3. IBN SINA Ext database (with images): A database of more [...]

2108, 2020

Cloud Computing

By |August 21st, 2020|Categories: Sustainable Smart Computing|

Synchromedia leads pilot research projects developing various cloud computing platforms driving state-of-the-art next-generation data centers and networks. Cloud computing links all resources together in a common architecture that can be virtualized. In other words, the compute and storage platform is architecturally "unified" with the network and the virtualization platform, making no distinction between the network and the edge devices connected to it. Cloud computing eliminates manual integration, in favor of [...]

2108, 2020

Network Virtualization

By |August 21st, 2020|Categories: Sustainable Smart Computing|

Network virtualization research at Synchromedia is aimed at creating new models providing a logical software-based view of the underlying hardware and software networking resources (switches, routers, etc.). This results in an intelligent abstraction that makes it easy to deploy and manage network services and resources. We are pioneering the NFV (Network Function Virtualization) concept and very active in SDN (Software-Defined Networking) solutions, especially with respect to intra and inter-data center [...]

2108, 2020

Sustainable and Environment Awareness

By |August 21st, 2020|Categories: Sustainable Smart Computing|

Relying heavily on the computing power of data centers, the Internet is enabling the establishment of entirely new industries and unlocking the vast potential for innovation in existing ones, like education, health care, energy, the public sectors, and knowledge dissemination. Advanced countries, like the US, have proposed national plans to ensure that every citizen will have access to ultra-broadband Internet. As a result, larger data centers are required to host [...]

2108, 2020

Network and Cloud Security

By |August 21st, 2020|Categories: Sustainable Smart Computing|

The potentially revolutionary cloud computing and networking paradigms could not be achieved in reality without appropriate security and privacy solutions. Designing trustworthy clouds or interoperable secure clouds is very challenging, because of the heterogeneity and diversity of the services provided, as well as the diverse access requirements of domains in cloud environments, demand fine-grained access control policies. Synchromedia developed new security services for cloud platforms by integrating privacy-preserving protocols to [...]

2108, 2020

Traffic Modeling and Big Data Analytics

By |August 21st, 2020|Categories: Sustainable Smart Computing|

Synchromedia research has a strong focus on smart traffic analyzer and QoS provisioning based on big data mining. Various models have been built for both intra and inter-data center network and a framework for optimally allocating resources according to each traffic model has been developed, in particular with respect to Telco and HPC applications. Based on advanced learning algorithms, the relationship between application requirements and underlying traffic is discovered. These patents [...]

2108, 2020

Wireless Communication

By |August 21st, 2020|Categories: Sustainable Smart Computing|

Synchromedia has recently conducted large-scale research projects on wireless communications in collaboration with Ericsson. A cloud-based platform has been developed to support virtual wireless communications across heterogeneous access networks and extent mobile content distribution across cloud and mobile devices. The research framework covers various types of wireless technologies, such as WiFi, ZigBee, LTE, and 5G, as well as ubiquitous multiple dimensional communications between wireless and optical networks. Synchromedia research outcome [...]

2008, 2020

Databases and Contests

By |August 20th, 2020|Categories: Uncategorized|

Machine learning for document understanding In order to provide training data for optical shape recognition (OSR), two databases of different sizes have been created in collaboration with Prof. Robert Wisnovsky (Institute of Islamic Studies, McGill University): 1. IBN SINA database: A database of 22720 shapes (fast access and fast access). 2. Avicenna database: A database of 123,007 labeled and not labeled shapes (fast access). 3. IBN SINA Ext database (with images): A database of more [...]

2008, 2020

Training LS-SVM Classifier in semi-supervised mode

By |August 20th, 2020|Categories: Computational Pattern Analysis|Tags: |

The learning process typically assumes some form of a priori knowledge of the contextual problem at hand in the form of examplar data associated with labels. These data, called the training set, are used to design a classifier, the performance of which is measured on a separate dataset, called the testing set. This is supervised learning in which the performance of the classifier on the test set is viewed as [...]

2008, 2020

Manifold learning (dimensionality reduction)

By |August 20th, 2020|Categories: Computational Pattern Analysis|

In machine learning, the data are usually represented in a high dimensional feature space. Nevertheless in practice, the data are restricted to a limited area of the feature space. This leads to the well known problem of the curse of dimensionality. The manifold learning techniques, also known as dimensionality reduction aim to find a mapping of the data from the high dimensional feature space to a new space of lower [...]

2008, 2020

Classification and Machine Learning

By |August 20th, 2020|Categories: Computational Pattern Analysis|

  Machine learning is a field of artificial intelligence, which use empirical data to extract characteristic of interest of their unknown underlying probability distribution. Knowledge about a given problem is learnt from examples (training data). This knowledge is implicit, unlike explicit knowledge that can be given by formal definitions or rules. A machine learning algorithm is evaluated on its generalization capability, which is its ability to apply successfully the learnt [...]

1908, 2020

Experiemental Results

By |August 19th, 2020|Categories: Computational Pattern Analysis|

Experimental results of the published papers, including the full-size images, could be found in this section. Usually, there is a permanent link in each paper that points directly to its experimental results. You can also browse this section. Articles in this category Synchro Super-Resolution Method for Text Images Here, the code and also a few examples of the Synchro Super-Resolution (SR) method is presented. The Synchro SR method was submitted [...]

1908, 2020

Behavioral Learning

By |August 19th, 2020|Categories: Sustainable Smart Computing|

Novel cognitive sciences and machine learning methodologies are developed by Synchromedia team dealing with efficient management in cloud computing environment. Cognitive radio network models have also been proposed for dynamically selecting transmission bands and routing paths, helping to maximize network throughput by performing joint routing, dynamic spectrum allocation, scheduling and power transmission control. Cognitive techniques allow mobile users to select a nearby data centre, thereby reducing delays and jitter. In [...]

1908, 2020

ENIT Project AUF

By |August 19th, 2020|Categories: telecommunication-networking-ml|

Project Title: Agence Universitaire de la Francophonie Project Investigators:  Prof. Mohamed Cheriet Partner: Project Funder:         Description: What problem are we solving? An AUF funding was awarded to Prof. Cheriet as Project Leader of SynchroMedia Consortium, under a unified international research initiative. In the same line, we joined a Francophone effort supported by AUF to support eLearning or distance learning and collaborative research. Three partners are involved: ENIT [...]

1908, 2020

Canadian Foundation for Innovation Grant

By |August 19th, 2020|Categories: Image Processing ML|

Project Title: Canadian Foundation for Innovation Grant Project Investigators: Partner: Project Funder:           Description: What problem are we solving? A CFI grant was awarded to Prof. Cheriet as Project Leader of SynchroMedia Consortium, under a unified international research initiative. SynchroMedia is a pan-Canadian collaborative effort which is active in the emerging field of IST technologies, and, more specifically, in Intelligent Distributed Cooperative. Environments in Telepresence, which [...]

1008, 2020

Learning Framework for IoT Services Chain Implementation in Edge Cloud Platform

By |August 10th, 2020|Categories: 2020, Publications|Tags: , , , , |

Abstract: As an emerging solution to latency requirements of Internet of Things (IoT) services, edge computing can bring powerful processing capacity closer to data sources. However, with the limited resources at edge nodes, a major challenge is finding optimal resources in distributed edges to reduce the operational costs of service deployment. Prior works focus mainly on static optimization which may not work efficiently with the time-varying workloads and resource constraints. [...]

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)|

1008, 2020

TCO Game in 5G Multi-Tenant Virtualized Mobile BackHaul (V-MBH) Network

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , |

Abstract: Raising density and ever-increasing traffic demand within future 5G Heterogeneous Networks (HetNets) will result in huge deployment, expansion and operating costs for upcoming Mobile Backhaul (MBH) networks. Multi-tenancy and network slicing based on virtualized resources are promising solutions to satisfy MBH network greediness while reducing related expenditures. Nevertheless, there is no appropriate model that fairly distributes costs over multiple Mobile Network Operators (MNO), and also optimizes physical resource planning. [...]

IWCMC 2019|

1008, 2020

Machine-Learning-Based Cognitive Spectrum Assignment for 5G URLLC Applications

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , , , , , |

Abstract: As one of the main scenarios in 5G mobile networks, ultra-reliable low-latency communication (URLLC) can satisfy the stringent requirements of many emerging applications. To ensure end-to-end secure delivery of critical data, 5G URLLC needs an efficient hybrid access scheme for licensed and unlicensed spectrum in mmWave bands. This article introduces machine learning (ML) and fountain codes into mmWave hybrid access, and proposes an adaptive channel assignment method. The proactively [...]

IEEE Networks|

1008, 2020

Optimized Flow Assignment in a Multi-Interface IoT Gateway

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , , |

Abstract: The last few years have witnessed a significant increase in the deployment of heterogeneous Internet of Things (IoT) networks. IoT devices send data with different requirements such as tolerated delay and data rates. Emerging multi-interface IoT devices bring the flexibility of connecting to multiple heterogeneous access networks, which thus improves the network capacity. However, each network interface has its own constraints in terms of network coverage, capacity, packet loss [...]

IWCMC 2019|

1008, 2020

Embedding Multiple-Step-Ahead Traffic Prediction in Network Energy Efficiency Problem

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , |

Abstract: Adaptive Link Rate (ALR) is widely used to save energy consumption of network by adjusting the link rate according to the carried traffic through a network-level optimization of the flow allocation process. Existing ALR solution is mainly reactive, in which link speed is changed only when new traffic demand is requested. Also, they focus on energy consumption, and do not consider the cost of changes in the network (e.g., [...]

IWCMC|

1008, 2020

Dynamic QoS-aware Queuing for Heterogeneous Traffic in Smart Home

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , |

Abstract: Smart home gateways have to forward multi-sourced network traffic generated with different distributions and with different quality-of-service (QoS) requirements. The state-of-the-art QoS-aware scheduling methods consider only the conventional priority metrics based on the IP type of service (ToS) field to make a decision for bandwidth allocation. Such priority-based scheduling methods are not optimal to provide both QoS and quality of experience (QoE), since higher priority traffic may not require [...]

IWCMC|

1008, 2020

TCO Planning Game for 5G Multi-Tenant Virtualized Mobile BackHaul (V-MBH) Network

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , |

Abstract: Raising density and ever-increasing traffic demand within future 5G Heterogeneous Networks (HetNets) will result in huge deployment, expansion and operating costs for upcoming Mobile Backhaul (MBH) networks. Multitenancy and network slicing based on virtualized resources are promising solutions to satisfy MBH network greediness while reducing related expenditures. Nevertheless, there is no appropriate model that fairly distributes costs over multiple virtual operators, and also optimizes physical resource planning. In this [...]

IEEE/OSA Journal of Lightwave Technology|

1008, 2020

SACO: A Service Chain Aware SDN Controller-Switch Mapping Framework

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , , , |

Abstract—The emerging paradigm of Software Defined Network (SDN) and virtualization technology promises an efficient solution for network providers to deploy services. Adopting them not only facilitates network management but also helps reduce the cost of maintaining network infrastructure. However, despite these advantages, there are still obstacles that must be overcome before SDN and virtualization can advance to reality in industrial deployments. In this paper, we focus on two well-researched issues, [...]

IEEE IFIP CNSM|

1008, 2020

Placement and Chaining for Run-time IoT Service Deployment in Edge-Cloud

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , , , |

Abstract: This paper investigates an efficient placement and chaining of Virtual Network Functions (VNFs) to provide cloud based IoT services with minimal resource usage cost. We take into account bandwidth capacity and link delay of network connection between clouds where VNFs are allocated and underlying IoT networks where sensors and IoT gateways are deployed. Regarding the constantly changing network dynamics, input traffic of service components is considered at the lower [...]

IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT|

1008, 2020

Concurrent Traffic Queuing Game in Smart Home

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , |

Abstract: Smart home gateway has to process different types of network traffic generated from several devices in an optimal way to meet their QoS requirements. However, the fluctuation of network traffic distributions results in packets concurrency. Current QoS-aware scheduling methods in the smart home networks do not consider concurrent traffic in their scheduling solutions. This paper presents an analytic model for a QoS-aware scheduling optimization of concurrent smart home network [...]

IEEE IFIP CNSM|

1008, 2020

Energy Efficient Software Update Mechanism for Networked IoT Devices

By |August 10th, 2020|Categories: 2019, Publications|Tags: , , , , , |

Abstract—Due to security issues and incremental user requirements, software in IoT devices needs to be changed frequently. Recently, advanced IoT devices employ the component-based software architecture in which components can be updated at run-time. In such IoT networks, devices can download updated components from neighbor nodes, enabling quick deployment of updates in the entire network. A key operation which consumes a significant amount of energy in the update process is [...]

IEEE GlobeCom|

1008, 2020

A Survey on Adaptive Multi-channel MAC Protocols in VANETs Using Markov Models

By |August 10th, 2020|Categories: 2018, Publications|Tags: , , , , , |

Abstract: A medium access control (MAC) protocol is designed to disseminate safety messages reliably and rapidly to improve the safety and efficiency of vehicles on the road in vehicular ad-hoc networks (VANETs). VANETs, which are created by moving vehicles, have specific properties, such as high node mobility with constrained movements and quick topology changes. Hence, MAC protocols should be designed to adapt to the changing data traffic patterns due to [...]

IEEE Access|

1008, 2020

Subjective and objective quality assessment of degraded document images

By |August 10th, 2020|Categories: 2018, Publications|Tags: , , , |

Abstract The huge amount of degraded documents stored in libraries and archives around the world needs automatic procedures of enhancement, classification, transliteration, etc. While high-quality images of these documents are in general easy to be captured, the amount of damage these documents contain before imaging is unknown. It is highly desirable to measure the severity of degradation that each document image contains. The degradation assessment can be used in tuning parameters [...]

Journal of Cultural Heritage|

1008, 2020

SDN-based fault-tolerant on-demand and in-advance bandwidth reservation in data center interconnects

By |August 10th, 2020|Categories: 2018, Publications|Tags: , , , |

Summary Geographically distributed data centers are interconnected through provisioned dedicated WAN links, realized by circuit/wavelength–switching that support large‐scale data transfer between data centers. These dedicated WAN links are typically shared by multiple services through on‐demand and in‐advance resource reservations, resulting in varying bandwidth availability in future time periods. Such an inter‐data center network provides a dynamic and virtualized environment when augmented with cloud infrastructure supporting end‐host migration. In such an [...]

International Journal of Communication Systems|

1008, 2020

Phishing-Aware: A Neuro-Fuzzy Approach for Anti-Phishing on Fog Networks

By |August 10th, 2020|Categories: 2018, Publications|Tags: , , , , |

Abstract—Phishing detection is recognized as a criminal issue of Internet security. By deploying a gateway anti-phishing in the networks, these current hardware-based approaches provide an additional layer of defense against phishing attacks. However, such hardware devices are expensive and inefficient in operation due to the diversity of phishing attacks. With promising technologies of virtualization in fog networks, an anti-phishing gateway can be implemented as software at the edge of the [...]

IEEE Transactions on Network and Service Management.|

1008, 2020

NFV-based Architecture for the Interworking between WebRTC and IMS

By |August 10th, 2020|Categories: 2018, Publications|Tags: , , , |

Abstract: The emerging paradigm of network function virtualization (NFV) technology promises an efficient solution for optimized service deployment in the cloud computing environment thanks to its ability to dynamically add or remove virtual resources when there is a change in workload. Nevertheless, telecom providers are still facing a challenging issue in efficiently adopting NFV to deploy Web real-time communication (WebRTC) service on top of IP multimedia subsystem (IMS). Providing WebRTC [...]

IEEE Transactions on Network and Service Management|

1008, 2020

Multiple-Step-Ahead Traffic Prediction in High-Speed Networks

By |August 10th, 2020|Categories: 2018, Publications|Tags: , , |

Abstract: Traffic in high-speed networks shows distinct patterns at different timescales. This characteristic should be taken into account to address the error propagation in the multiple-step-ahead traffic prediction. Based on this idea, we proposed an algorithm in which traffic is modeled at different timescales using Gaussian process regression (GPR). The prediction at a timescale is made using the data of that timescale as well as the prediction results at larger [...]

IEEE Communications Letters|

1008, 2020

MAC Protocols with Dynamic Interval Schemes for VANETs

By |August 10th, 2020|Categories: 2018, Publications|Tags: , , , , , |

Abstract Under the dynamically changing topology of Vehicular Ad-hoc NETworks (VANETs), the restricted intervals in Medium Access Control (MAC) protocols cannot provide sufficient capacity to carry both safety and non-safety applications. One approach which can solve these issues is a dynamic MAC protocol that can adapt itself to the vehicle density or traffic conditions. In this survey, we, therefore, study various techniques for dynamic intervals used in MAC protocols, their advantages, and disadvantages. First, [...]

Vehicular Communications|

1008, 2020

Dynamic Controller/Switch Mapping in Virtual Networks Service Chains

By |August 10th, 2020|Categories: 2018, Publications|Tags: , , , , |

Abstract: Accelerated Software Defined Networking (SDN) adoption makes SDN paradigm emerging in the state of the art. Especially, the combination of SDN and network functions virtualization (NFV) becomes a promising trend in deploying virtual network services for network operators. Although SDN can decouple networks into the control plane and the data plane to obtain flexible operation and programmability, there are many open issues that need to be addressed for SDN [...]

Globecom 2018|

1008, 2020

A Distributed Approach to Emergency Demand Response in Geo-Distributed Mixed-Use Buildings

By |August 10th, 2020|Categories: 2018|Tags: , , , , |


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Journal of Building Engineering||||||

1008, 2020

An Approximation Mechanism for Elastic IoT Application Deployment

By |August 10th, 2020|Categories: 2018|Tags: , , |


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IEEE UEMCON 2018||||

1008, 2020

A TOPSIS-based QoE model for adapted content selection of slide documents

By |August 10th, 2020|Categories: 2018|Tags: , , |


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Springer, Multimedia Tools and Applications||||

1008, 2020

Backhauling-as-a-Service (BHaaS) for 5G Optical Sliced Networks: An Optimized TCO Approach

By |August 10th, 2020|Categories: 2018|Tags: , , , |

Keywords: 5G, BHaaS, CAPEX, OPEX, Optical Mobile Backhaul, ROI, TCO, TPaaS, Traffic Profiles., Voronoi


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IEEE OSA Journal of Lightwave Technology|||||

1008, 2020

Featuring Real-Time imbalanced network traffic classification

By |August 10th, 2020|Categories: 2018|Tags: , , , |


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2018 IEEE Confs on Internet of Things, Green Computing and Communications, Cyber, Physical and Social Computing, Smart Data, Blockchain, Computer and Information Technology, Congress on Cybermatics|||||

1008, 2020

QoS-Aware Software-Defined Routing in Smart Community Network

By |August 10th, 2020|Categories: 2018|Tags: , , |


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Elsevier, Computer Networks||||

1008, 2020

Time Series-Based GHG Emissions Prediction for Smart Homes

By |August 10th, 2020|Categories: 2018|Tags: , , , , |


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IEEE Transactions on Sustainable Computing||||||

1008, 2020

Energy and connectivity aware resource optimization of nodes traffic distribution in smart home networks

By |August 10th, 2020|Categories: 2018|Tags: , |

Keywords: Smart home network Energy optimization Software defined networks Coverage and connectivity Lagrangian decomposition method


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Journal of Future Generation Computer Systems|||

1008, 2020

Virtual Edge-Based Smart Community Network Management

By |August 10th, 2020|Categories: 2016, Publications|Tags: , |

Abstract: Providing multitenant, multiaccess, and multiservice solutions in communities is a key enabler to sustain innovations and economic development in society. This article investigates a solution for rearchitecting a telecommunications company's (telco's) central office to offer services in a smart community, enabled by virtual network function elements running on a smart edge. At the same time, these elements manage a multiaccess underlying infrastructure and deploy telco services with minimal resource [...]

IEEE Internet Computing|

1008, 2020

Real-time optimized NFV architecture for internetworking WebRTC and IMS

By |August 10th, 2020|Categories: 2016, Publications|Tags: , , , , |

Abstract: Network Function Virtualization (NFV) technology has emerged as a promising solution to optimize the deployment of network elements in cloud computing environment, both in terms of user Quality of Service (QoS) and resource allocation. To deliver IP Multimedia Subsystem (IMS) advanced services across multiple access networks, a cloud-based model likely improves not only flexibility in network management but also in service invocation. This model is particularly suitable for the [...]

2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks)2016 17th International Telecommunications Network Strategy and Planning Symposium (Networks)|

1008, 2020

MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment

By |August 10th, 2020|Categories: 2016, Publications|Tags: , , , , |

Abstract: In this letter, a very simple no-reference image quality assessment (NR-IQA) model for JPEG compressed images is proposed. The proposed metric called median of unique gradients (MUG) is based on the very simple facts of unique gradient magnitudes of JPEG compressed images. MUG is a parameterless metric and does not need training. Unlike other NR-IQAs, MUG is independent to block size and cropping. A more stable index called MUG + is [...]

IEEE Signal Processing Letters|

1008, 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications EngineeringSmart City 360°Micro Service Cloud Computing Pattern for Next Generation Networks

By |August 10th, 2020|Categories: 2016|Tags: , , , , , , , , , , , , , , |


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1008, 2020

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications EngineeringSmart City 360°Hyper Heterogeneous Cloud-Based IMS Software Architecture: A Proof-of-Concept and Empirical Analysis

By |August 10th, 2020|Categories: 2016|Tags: , , , , , , , , , , , , , |


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1008, 2020

LCA and decision making: when and how to use consequential LCA; 62nd LCA forum, Swiss Federal Institute of Technology, Zürich, 9 September 2016

By |August 10th, 2020|Categories: 2016|Tags: , , , , , , , , , |


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The International Journal of Life Cycle Assessment|||||||||||

1008, 2020

Iterative classifiers combination model for change detection in remote sensing imagery

By |August 10th, 2020|Categories: 2016, Publications|Tags: , , , , , |

Abstract: In this paper, we propose a new unsupervised change detection method designed to analyze multispectral remotely sensed image pairs. It is formulated as a segmentation problem to discriminate the changed class from the unchanged class in the difference images. The proposed method is in the category of the committee machine learning model that utilizes an ensemble of classifiers (i.e., the set of segmentation results obtained by several thresholding methods) [...]

IEEE Transaction on geoscience and remote sensing|

1008, 2020

Gaussian Process Regression based Traffic Modeling and Prediction in High-Speed Networks

By |August 10th, 2020|Categories: 2016, Publications|Tags: , , , |

Abstract: Evolving nature of network traffic challenges existing models to fit and predict its behavior. In particular, real traffic modeling requires more flexible design that can adapt to long-range and short-range dependent traffic with dynamic patterns. Unfortunately, existing models cannot handle such requirements because various traffic behaviors such as periodic and self-similar are not taken into account. In this paper, Gaussian process regression (GPR) is adapted for traffic modeling and [...]

GlobeCom|

1008, 2020

Dynamic Optimal Countermeasure Selection for Intrusion Response System

By |August 10th, 2020|Categories: 2016|Tags: , , , |


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IEEE Transactions on Dependable and Secure Computing|||||

1008, 2020

Consequences of Future Data Center Deployment in Canada on Electricity Generation and Environmental Impacts: A 2015-2030 Prospective Study

By |August 10th, 2020|Categories: 2016|Tags: , , , , , , , |


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Journal of Industrial Ecology|||||||||

1008, 2020

Monitoring and Measurement System for Green Operation of Geographically Distributed ICT Services

By |August 10th, 2020|Categories: 2016|Tags: , , , , |


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International Workshop on Green ICT and Smart Networking (GISN 2016), in conjunction with the International Conference on Network and Service Management (CNSM 2016)||||||

1008, 2020

Consideration of marginal electricity in real-time minimization of distributed data centre emissions

By |August 10th, 2020|Categories: 2016|Tags: , , , , , |


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Journal of Cleaner Production|||||||

1008, 2020

Mean Deviation Similarity Index: Efficient and Reliable Full-Reference Image Quality Evaluator

By |August 10th, 2020|Categories: 2016|Tags: , , , |

Keywords: chrominance similarity, deviation pooling, gradient similarity, Image quality assessment


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IEEE Access, vol. 4, pp. 5579-5590|||||

1008, 2020

Toward an architectural model for highly-dynamic multi-tenant multi-services cloud-oriented platforms

By |August 10th, 2020|Categories: 2015, Publications|Tags: , , |

Abstract - The characteristics of the Cloud Computing paradigm make it attractive to be used along with other paradigms like mobile and pervasive computing, smart cities, etc. There is a need to develop new platforms in order to take advantage of those converged infrastructures, and to abstract its high heterogeneities and complexities. The design and development of such robust and efficient platforms is challenging, because of the high heterogeneities, complexities [...]

S2CT|

1008, 2020

Taxonomy of Information Security Risk Assessment (ISRA)

By |August 10th, 2020|Categories: 2015, Publications|Tags: , , , , |

Abstract Information is a perennially significant business asset in all organizations. Therefore, it must be protected as any other valuable asset. This is the objective of information security, and an information security program provides this kind of protection for a company's information assets and for the company as a whole. One of the best ways to address information security problems in the corporate world is through a risk-based approach. In [...]

Computers Security - Elsevier|

1008, 2020

Taxonomy of Distributed Denial of Service Mitigation Approaches for Cloud Computing

By |August 10th, 2020|Categories: 2015, Publications|Tags: , , , , |

Abstract Cloud computing has a central role to play in meeting today׳s business requirements. However, Distributed Denial-of-Service (DDoS) attacks can threaten the availability of cloud functionalities. In recent years, many effort has been expended to detect the various DDoS attack types. In this survey paper, our concentration is on how to mitigate these attacks. We believe that cloud computing technology can substantially change the way we respond to a DDoS attack, based [...]

Journal of Network and Computer Applications|

1008, 2020

SO-ARTIST: Self-Organized ART-2A inspired clustering for online Takagi-Sugeno fuzzy models.

By |August 10th, 2020|Categories: 2015, Publications|Tags: , , |

Abstract In this paper we introduce a novel online self-organized clustering method based on the ART-2A network for Takagi–Sugeno fuzzy models. To accomplish the self-organization, we introduce an automatic decision algorithm along with solutions for merging and splitting of rules as well as the parameters they operate with, such as our novel incremental distance measurement and competitive recursive least squares. We emphasize the learning algorithm's having an impact for initial [...]

Applied Soft Computing|

1008, 2020

Optimal Placement of Sequentially Ordered Virtual Security Appliances in the Cloud

By |August 10th, 2020|Categories: 2015|Tags: , , , , , , |

Abstract: Traditional enterprise network security is based on the deployment of security appliances placed on some specific locations filtering, monitoring the traffic going through them. In this perspective, security appliances are chained in specific order to perform different security functions on the traffic. In the cloud, the same approach is often adopted using virtual security appliances to protect traffic for different virtual applications with the challenge of dealing with the [...]


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The 14th IFIP/IEEE Symposium on Integrated Network Management (IM 2015)|||||||

1008, 2020

OpenFlow-based In-Network Layer-2 Adaptive Multipath Aggregation in Data Centers

By |August 10th, 2020|Categories: 2015|Tags: , , |

Keywords: Aggregated path capacity, Forwarding, Multipath, OpenFlow, Routing


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Computer Communications||||

1008, 2020

Multi-Objective Optimization in Dynamic Content Adaptation of Slide Documents

By |August 10th, 2020|Categories: 2015|Tags: , , |


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IEEE Transactions on Services Computing||||

1008, 2020

Influence of color-to-gray conversion on the performance of document image binarization: toward a novel optimization problem

By |August 10th, 2020|Categories: 2015|Tags: , , , |


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IEEE Transaction on Image Processing|||||

1008, 2020

Inclusion of Security Requirements in SLA Lifecycle Management for Cloud Computing

By |August 10th, 2020|Categories: 2015|Tags: , , , |


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2nd International Workshop on Evolving Security and Privacy Requirements Engineering (ESPRE 2015)|||||

1008, 2020

The generation of synthetic handwritten data for improving on-line learning

By |August 10th, 2020|Categories: 2015|Tags: , , , |


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IGS2015|||||

1008, 2020

FSITM: A Feature Similarity Index For Tone-Mapped Images

By |August 10th, 2020|Categories: 2015|Tags: , , , |


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IEEE Signal Processing Letters|||||

1008, 2020

Feature Set Evaluation for Offline Handwriting Recognition Systems: Application to the Recurrent Neural Network Model

By |August 10th, 2020|Categories: 2015|Tags: , , |


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IEEE Transactions on Cybernetics||||

1008, 2020

Carbon-aware distributed cloud: multi-level grouping genetic algorithm

By |August 10th, 2020|Categories: 2015|Tags: , , |

Keywords: Carbon footprint, Cloud computing, Distributed cloud, Genetic algorithm, Green IT, Grouping genetic algorithm, Multi-level


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Cluster Computing||||

1008, 2020

Multistage OCDO: Scalable Security Provisioning Optimization in SDN-Based Cloud

By |August 10th, 2020|Categories: 2015|Tags: , , , |


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IEEE 8th International Conference on Cloud Computing|||||

1008, 2020

A Multiple-Expert Binarization Framework for Multispectral Images

By |August 10th, 2020|Categories: 2015|Tags: , |


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ICDAR'15|||

1008, 2020

A Multiple-Expert Binarization Framework for Multispectral Images

By |August 10th, 2020|Categories: 2015|Tags: , |


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ICDAR'15|||

1008, 2020

Defining Green Profit in Distributed Datacenters

By |August 10th, 2020|Categories: 2015|Tags: , , , |


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ICT4S'15|||||

1008, 2020

40 Gbps Access for Metro networks: Implications in terms of Sustainability and Innovation from an LCA Perspective

By |August 10th, 2020|Categories: 2015|Tags: , , |


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EnviroInfo'15 ICT4S'15||||

1008, 2020

Distributed Schemes for Routing Table Management in Next Generation Routers

By |August 10th, 2020|Categories: 2015|Tags: , |


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Journal of Network and Systems Management|||

1008, 2020

A Novel Approach to Enabling Sustainable Actions in the Context of Smart House/Smart City Verticals Using Autonomous, Cloud-Enabled Smart Agents

By |August 10th, 2020|Categories: 2015|Tags: , , |


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S2CT'15||||

1008, 2020

A defense-centric model for multi-step attack damage cost evaluation

By |August 10th, 2020|Categories: 2015|Tags: , , , |


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The 3rd International Conference on Future Internet of Things and Cloud (FiCloud-2015)|||||

1008, 2020

Applications and challenges of life cycle assessment in the context of a green sustainable telco cloud

By |August 10th, 2020|Categories: 2015|Tags: , , , , , |


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S2CT'15|||||||

1008, 2020

MS-TEx: MultiSpectral Text Extraction Contest in ICDAR 2015

By |August 10th, 2020|Categories: 2015|Tags: , , , , |


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ICDAR, International conference on Document Analysis and Recognition 2015||||||

1008, 2020

Environment-Aware Virtual Slice Provisioning in Green Cloud Environment

By |August 10th, 2020|Categories: 2015|Tags: , |


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IEEE Transactions on Services Computing|||

1008, 2020

Consequences of future data centre deployment on North American electricity generation and environmental impacts: a 2015–2030 prospective study

By |August 10th, 2020|Categories: 2015|Tags: , , , , , , , |


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ICT4S'15|||||||||

1008, 2020

SmartPacket: Re-Distributing the Routing Intelligence among Network Components in SDNs

By |August 10th, 2020|Categories: 2015|Tags: , |


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SDS'15/IC2E'15|||

1008, 2020

Taxonomy of intrusion risk assessment and response system

By |August 10th, 2020|Categories: 2014, Publications|Tags: , , , |

Abstract In recent years, we have seen notable changes in the way attackers infiltrate computer systems compromising their functionality. Research in intrusion detection systems aims to reduce the impact of these attacks. In this paper, we present a taxonomy of Intrusion Response Systems (IRS) and Intrusion Risk Assessment (IRA), two important components of an intrusion detection solution. We achieve this by classifying a number of studies published during the last [...]

Elsevier, Computers and Security|

1008, 2020

Phase-based binarization of historical manuscripts: Model and application

By |August 10th, 2020|Categories: 2014, Publications|Tags: , , |

Abstract—In this paper, a phase-based binarization model for ancient document images is proposed, as well as a post-processing method that can improve any binarization method and a ground truth generation tool. Three feature maps derived from the phase information of an input document image constitute the core of this binarization model. These features are: the maximum moment of phase congruency covariance, a locally weighted mean phase angle, and a phase [...]

IEEE Transactions on Image Processing|

1008, 2020

Minimization of telco cloud emissions based on marginal electricity management

By |August 10th, 2020|Categories: 2014|Tags: , , , , , |


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ICT4S|||||||

1008, 2020

Life cycle assessment of videoconferencing with call management servers relying on virtualization

By |August 10th, 2020|Categories: 2014|Tags: , , , , , , , |


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ICT4S|||||||||

1008, 2020

IIGHGINT: A generalization to the modified GHG intensity universal indicator toward a prod/consump insensitive border carbon tax

By |August 10th, 2020|Categories: 2014|Tags: , , , |


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Taxes and the Economy: Government Policies, Macroeconomic Factors and Impacts on Consumption and the Environment|||||

1008, 2020

A Graph-based Perspective to Total Carbon Footprint Assessment of Non-marginal Technology-driven Projects –- Use case of OTT/IPTV

By |August 10th, 2020|Categories: 2014|Tags: , , |


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Carbon Footprinting: New Developments, Reduction Methods and Ecological Impacts||||

1008, 2020

Deep-Belief-Network based Rescoring Approach for Handwritten Word Recognition

By |August 10th, 2020|Categories: 2014|Tags: , , |


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ICFHR 2014||||

1008, 2020

Context-dependent BLSTM Models. Application to Offline Handwriting Recognition

By |August 10th, 2020|Categories: 2014|Tags: , , |


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IEEE International Conference on Image Processing 2014 (ICIP 2014)||||

1008, 2020

Arabic word descriptor for handwritten word indexing and lexicon reduction

By |August 10th, 2020|Categories: 2014|Tags: , |


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Pattern Recognition|||

1008, 2020

A Software-Defined Scalable and Autonomous Architecture for Multi-tenancy

By |August 10th, 2020|Categories: 2014|Tags: , , , |


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IEEE International Conference on Cloud Engineering|||||

1008, 2020

Real-time optimization of a Green Sustainable Telco Cloud network of servers using consequential life cycle assessment

By |August 10th, 2020|Categories: 2014|Tags: , , , , , |


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Society and Materials International Conference (SAM8)|||||||

1008, 2020

Coupling Partial Energy Model with Consequential Life Cycle Analysis in order to evaluate the long-term Impacts of the implantation of Data-centers in Canada

By |August 10th, 2020|Categories: 2014|Tags: , , , , , , , , |


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Society and Materials International Conference (SAM8)||||||||||

1008, 2020

Carbon footprint reduction of a cloud computing service using a predictive dynamic LCA model

By |August 10th, 2020|Categories: 2014|Tags: , , , , , , |


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Society and Materials International Conference (SAM8)||||||||

1008, 2020

Challenges and complexities in application of LCA approaches in the case of ICT for a sustainable future

By |August 10th, 2020|Categories: 2014, Publications|Tags: , , , , , , , , |

Abstract In this work, three of many ICT-specific challenges of LCA are discussed. First, the inconsistency versus uncertainty is reviewed with regard to the meta-technological nature of ICT. As an example, the semiconductor technologies are used to highlight the complexities especially with respect to energy and water consumption. The need for specific representations and metric to separately assess products and technologies is discussed. It is highlighted that applying product-oriented approaches [...]

ICT4S|

1008, 2020

Environment-aware Virtual Slice Provisioning in Green Cloud Environment

By |August 10th, 2020|Categories: 2014|Tags: , |

Keywords: Cloud computing, Energy-aware cloud, multi-tenant cloud, virtual network embedding, virtual slice allocation


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Services Computing, IEEE Transactions on|||

1008, 2020

Cloud Computing: A Risk Assessment Model

By |August 10th, 2020|Categories: 2014|Tags: , |


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IEEE International Conference on Cloud Engineering (IC2E 2014)|||

1008, 2020

Constrained Energy Maximization and Self-Referencing Method for Invisible Ink Detection from Multispectral Historical Document Images

By |August 10th, 2020|Categories: 2014|Tags: , , |


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Patter recognition ICPR 2014, 22nd International Conference on||||

1008, 2020

Virtual Slice Assignment in Large-Scale Cloud Interconnects

By |August 10th, 2020|Categories: 2014|Tags: , , |


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IEEE Internet Computing||||

1008, 2020

Multi-tenancy Isolation and Self-Management in the cloud using Autonomic SDN Architecture

By |August 10th, 2020|Categories: 2013, Publications|Tags: , , , , , , , , |

Abstract Systems and methods for ensuring multi-tenant isolation in a data center are provided. A switch, or virtualized switch, can be used to de-multiplex incoming traffic between a number of data centers tenants and to direct traffic to the appropriate virtual slice for an identified tenant. The switch can store tenant identifying information received from a master controller and packet forwarding rules received from at least one tenant controller. The [...]

1008, 2020

Manifold Learning for the Shape-Based Recognition of Historical Arabic Documents

By |August 10th, 2020|Categories: 2013, Publications|Tags: , , , , , |

Abstract In this work, a recognition approach applicable at the letter block (subword) level for Arabic manuscripts is introduced. The approach starts with the binary images of the letter block to build their input representation, which makes it highly objective and independent of the designer. Then, using two different manifold learning techniques, the representations are reduced and learned. In order to decrease the computational complexity, PCA is applied to the [...]

Handbook of Statistics ISSN: 0169-7161|

1008, 2020

Historical document image restoration using multispectral imaging system

By |August 10th, 2020|Categories: 2013, Publications|Tags: , , |

Keywords: Multispectral image in-painting Abstract Thousands of valuable historical documents stored on the shelves of national libraries throughout the world are waiting to be scanned in order to facilitate access to the information they contain. The first major problem faced is degradation, which renders the visual quality of the document very poor, and in most cases, difficult to decipher. This work is part of our collaboration with the BAnQ (Bibliotheque [...]

Pattern Recognition|

1008, 2020

Application of Phase-Based Features and Denoising in Postprocessing and Binarization of Historical Document Images

By |August 10th, 2020|Categories: 2013|Tags: , , |


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ICDAR||||

1008, 2020

Powering a Data Center Network via Renewable Energy: A Green Testbed

By |August 10th, 2020|Categories: 2013|Tags: , , , , |


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IEEE Internet Computing Magazine||||||

1008, 2020

Enabling infrastructure as a service (IaaS) on IP networks: from distributed to virtualized control plane

By |August 10th, 2020|Categories: 2013, Publications|Tags: , , |

Abstract: Infrastructure as a Service (IaaS) is considered a prominent model for IP based service delivery. As grid and cloud computing have become a stringent demand for today's Internet services, IaaS is required for providing services, particularly "private cloud," regardless of physical infrastructure locations. However, enabling IaaS on traditional Internet Service Provider (ISP) network infrastructures is challenging because IaaS requires a high abstraction level of network architectures, protocols, and devices. [...]

IEEE Communications Magazine|

1008, 2020

A learning framework for the optimization and automation of document binarization methods

By |August 10th, 2020|Categories: 2013|Tags: , , |


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Computer Vision and Image Understanding||||

1008, 2020

A Modified GHG Intensity Indicator: Toward a Sustainable Global Economy based on a Carbon Border Tax and Emissions Trading

By |August 10th, 2020|Categories: 2013|Tags: , , |


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Energy Policy||||

1008, 2020

Virtual Data Center Scalability using Open Flow Controller

By |August 10th, 2020|Categories: 2013|Tags: , , , |


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International Conference on Software Engineering and New Technologies|||||

1008, 2020

Visual language processing (VLP) of ancient manuscripts: Converting collections to windows on the past

By |August 10th, 2020|Categories: 2013|Tags: , , |


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GCC'13||||

1008, 2020

Sketch-Based Retrieval of Document Illustrations and Regions of Interest

By |August 10th, 2020|Categories: 2013|Tags: , , |


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ICDAR'13||||

1008, 2020

Feature design for offline Arabic handwriting recognition: handcrafted vs automated?

By |August 10th, 2020|Categories: 2013|Tags: , , |


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12th International Conference on Document Analysis and Recognition (ICDAR '13)||||

1008, 2020

An Empirical Evaluation of Supervised Dimensionality Reduction for Recognition

By |August 10th, 2020|Categories: 2013|Tags: , , |


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ICDAR 2013||||

1008, 2020

ARTIST: ART-2A Driven Generation of Fuzzy Rules for Online Handwritten Gesture Recognition

By |August 10th, 2020|Categories: 2013|Tags: , , |


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ICDAR'13||||

1008, 2020

Ground-truth estimation in multispectral representation space: Application to degraded document image binarization

By |August 10th, 2020|Categories: 2013|Tags: , |


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Document Analysis and Recognition (ICDAR), 2013 12th International Conference on|||

1008, 2020

Unsupervised Ensemble of Experts (EoE) Framework for Automatic Binarization of Document Images

By |August 10th, 2020|Categories: 2013|Tags: , , |

Keywords: automatic binarization, Binarization, Confidentness, Consolidation, Decision making, Document image processing, Educational institutions, Endorsement, endorsement graph, endorsement-dependent weights, Ensemble of Experts, EoE framework, Expert Selection, Feature extraction, graph theory, grid-based Sauvola method, input document image, Laplace equations, PSNR, Robustness, School of Experts, unsupervised ensemble of experts framework, unsupervised learning, Visualization


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ICDAR'13||||

1008, 2020

An Efficient Ground Truthing Tool for Binarization of Historical Manuscripts

By |August 10th, 2020|Categories: 2013|Tags: , , , |

Keywords: Binarization, binarization method, Data preprocessing, Degradation, document image degradation type, Document image processing, Feature extraction, Groundtruthing, historical document image, historical manuscript binarization, history, Image edge detection, image ground truthing tool, Ink, learning (artificial intelligence), learning approach, Manuals, Noise, Persian heritage dataset, Persian heritage image binarization dataset, phase congruency features, PhaseGT fast ground truthing approach, PHIBD 2012 dataset, Training


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ICDAR'13|||||

1008, 2020

Visual language processing (VLP) of ancient manuscripts: Converting collections to windows on the past

By |August 10th, 2020|Categories: 2013|Tags: , , |

Keywords: Adaptation models, ancient manuscript, computational pattern analysis, cultural heritage, data mining, data-driven mining, Degradation, directed graphical model, Feature extraction, feature vector extraction, graph-based representation, Hidden Markov models, history, HMM, image document restoration, image restoration, natural language processing, social network, sparse-based representation, spatial relation model, spectral-based representation, transliteration, undirected random field, visual language processing, visual object, Visualization, VLP, Writing


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GCC'13||||

1008, 2020

W-TSV: Weighted topological signature vector for lexicon reduction in handwritten Arabic documents

By |August 10th, 2020|Categories: 2012, Publications|Tags: , , |

Abstract This paper proposes a holistic lexicon-reduction method for ancient and modern handwritten Arabic documents. The word shape is represented by the weighted topological signature vector (W-TSV), which encodes graph data into a low-dimensional vector space. Three directed acyclic graph (DAG) representations are proposed for Arabic word shapes, based on topological and geometrical features. Lexicon reduction is achieved by a nearest neighbors search in the W-TSV space. The proposed framework [...]

Pattern Recognition|

1008, 2020

Sparse Descriptor for Lexicon Reduction in Handwritten Arabic Documents

By |August 10th, 2020|Categories: 2012, Publications|Tags: , , , , |

Abstract Arabic words have a rich structure. They are made of subwords (groups of connected letters) and diacritical marks (dots). This paper proposes a sparse descriptor specifically designed for lexicon reduction in handwritten Arabic documents. The topological and geometrical features of subwords are extracted from the skeleton image, based on the concept of local density. The sparse descriptor is then formed as a 3-bins histogram, describing the distribution of the [...]

Proc. 21th Int'l Conf. Pattern Recognition (ICPR '12)|

1008, 2020

A Robust Word Spotting System for Historical Arabic Manuscripts

By |August 10th, 2020|Categories: 2012, Publications|Tags: , , , , , |

Abstract A novel system for word spotting in old Arabic manuscripts is developed. The system has a complete chain of operations and consists of three major steps: pre-processing, data preparation, and word spotting. In the pre-processing step, using multi-level classifiers, clean binarization is obtained from the input degraded document images. In the second step, the smallest units of data, i.e., the connected components, are processed and clustered in a robust [...]

Guide to OCR for Arabic Scripts|

1008, 2020

Image patches analysis for text block identification

By |August 10th, 2020|Categories: 2012, Publications|Tags: , |

Abstract: In this paper, we propose a novel text block identification method for ancient document understanding. Unlike traditional top-down and bottom-up approaches, our method is based on supervised learning on the patches of document images, which can be considered as an intermediate level method but integrates essential advantages of both the top-down and the bottom-up strategies. In our method, the document images are firstly partitioned into small patches, and then [...]

ISSPA|

1008, 2020

Hyperspectral band selection based on graph clustering

By |August 10th, 2020|Categories: 2012, Publications|Tags: , , |

Abstract: In this paper we present a new method for hyperspectral band selection problem. The principle is to create a band adjacency graph (BAG) where the nodes represent the bands and the edges represent the similarity weights between the bands. The Markov Clustering Process (abbreviated MCL process) defines a sequence of stochastic matrices by alternation of two operators on the associated affinity matrix to form distinct clusters of high correlated [...]

Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on|

1008, 2020

Environmental-aware virtual data center network

By |August 10th, 2020|Categories: 2012, Publications|Tags: , , , , , |

Abstract: Cloud computing services have recently become a ubiquitous service delivery model, cov- 25 ering a wide range of applications from personal file sharing to being an enterprise data 26 warehouse. Building green data center networks providing cloud computing services is 27 an emerging trend in the Information and Communication Technology (ICT) industry, 28 because of Global Warming and the potential GHG emissions resulting from cloud services. 29 As one [...]

Computer Networks|

1008, 2020

Convergence of Cloud Computing and Network Virtualization: Towards a Zero-Carbon Network

By |August 10th, 2020|Categories: 2012|Tags: , , , |


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IEEE Internet Computing Magazine|||||

1008, 2020

Non-Rigid 2D/3D Registration of Coronary Artery Models with Live Fluoroscopy for Guidance of Cardiac Interventions

By |August 10th, 2020|Categories: 2012|Tags: , , |


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IEEE Transactions on Medical Imaging||||

1008, 2020

A new framework based on signature patches, micro registration, and sparse representation for optical text recognition

By |August 10th, 2020|Categories: 2012|Tags: , , |


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ISSPA'12||||

1008, 2020

Environmental-aware virtual data center network

By |August 10th, 2020|Categories: 2012|Tags: , , , , , |


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Computer Networks|||||||

1008, 2020

Historical Document Binarization Based on Phase Information of Images

By |August 10th, 2020|Categories: 2012|Tags: , , |


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ACCV’12 Workshop on e-Heritage||||

1008, 2020

Cognitive Behavior Analysis framework for Fault Prediction in Cloud Computing

By |August 10th, 2020|Categories: 2012|Tags: , , , |


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Network of Future (NoF'12)|||||

1008, 2020

Enabling Infrastructure as a Service (IaaS) on IP Networks: From Distributed to Virtualized Control Plane

By |August 10th, 2020|Categories: 2012|Tags: , , |


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IEEE Communications Magazine||||

1008, 2020

Automated intrusion attack with permanent control: Analysis and countermeasures

By |August 10th, 2020|Categories: 2012|Tags: , , |


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ISSPA'12||||

1008, 2020

Online handwritten gesture recognition based on Takagi-Sugeno fuzzy models

By |August 10th, 2020|Categories: 2012|Tags: , , |


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ISSPA'12||||

1008, 2020

A new framework for online sketch-based image retrieval in web environment

By |August 10th, 2020|Categories: 2012|Tags: , , |


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ISSPA'2012||||

1008, 2020

Carbon Metering and Effective Tax Cost Modeling for Virtual Machines

By |August 10th, 2020|Categories: 2012|Tags: , , |


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CLOUD'12||||

1008, 2020

AdOtsu: An adaptive and parameterless generalization of Otsu’s method for document image binarization

By |August 10th, 2020|Categories: 2012|Tags: , |


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Pattern Recognition|||

1008, 2020

Real-Time Knowledge-Based Processing of Images: Application of the Online NLPM} Method to Perceptual Visual Analysis

By |August 10th, 2020|Categories: 2012|Tags: , |

Keywords: convergence, hidden chain series, human vision, image processing, input image, knowledge based systems, knowledge images, online NLPM method, online nonlocal patch means method, perceptual image, perceptual observations, perceptual visual analysis, real-time knowledge-based image processing, real-time systems, series (mathematics), shape perception, shape recognition, visual perception


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Image Processing, IEEE Transactions on|||

1008, 2020

Multi-level grouping genetic algorithm for low carbon virtual private clouds

By |August 10th, 2020|Categories: 2012|Tags: , , |


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CLOSER'12||||

1008, 2020

Shape recognition on a Riemannian manifold

By |August 10th, 2020|Categories: 2012|Tags: , |


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11th International Conference on Information Science, Signal Processing and their Applications (ISSPA), 2012|||

1008, 2020

A prototype system for handwritten sub-word recognition: toward Arabic}-manuscript transliteration

By |August 10th, 2020|Categories: 2012|Tags: , , , |


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ISSPA'12|||||

1008, 2020

Unsupervised MRI Segmentation of Brain Tissues Using a Local Linear Model and Level Set

By |August 10th, 2020|Categories: 2011, Publications|Tags: , |

Abstract Real-world magnetic resonance imaging of the brain is affected by intensity nonuniformity (INU) phenomena which makes it difficult to fully automate the segmentation process. This difficult task is accomplished in this work by using a new method with two original features: (1) each brain tissue class is locally modeled using a local linear region representative, which allows us to account for the INU in an implicit way and to more accurately [...]

Elsevier Journal of Magnetic Resonance Imaging|

1008, 2020

TSV-LR: topological signature vector-based lexicon reduction for fast recognition of pre-modern Arabic subwords

By |August 10th, 2020|Categories: 2011, Publications|Tags: , , , , |

Abstract Automatic recognition of Arabic words is a challenging task and its complexity increases as the lexicon grows. In pre-modern documents, the vocabulary is unconstrained; therefore a lexicon-reduction strategy is needed to reduce the recognition computational complexity. This paper proposes a novel lexicon-reduction method for Arabic subwords based on their shapes' topology and geometry. First the sub-word shape's topological and geometrical information is extracted from its skeleton and encoded into [...]

Proceedings of the 2011 Workshop on Historical Document Imaging and Processing|

1008, 2020

Renewable Energy Provisioning for ICT Services in a Future Internet

By |August 10th, 2020|Categories: 2011, Publications|Tags: , , , , , , , , |

Abstract As one of the first worldwide initiatives provisioning ICT (Information and Communication Technologies) services entirely based on renewable energy such as solar, wind and hydroelectricity across Canada and around the world, the GreenStar Network (GSN) is developed to dynamically transport user services to be processed in data centers built in proximity to green energy sources, reducing GHG (Greenhouse Gas) emissions of ICT equipments. Regarding the current approach, which focuses [...]

2011 Edition of the Future Internet Assembly Book Future Internet: Achievements and Promising Technology|

1008, 2020

Novel data representation for text extraction from multispectral historical document images

By |August 10th, 2020|Categories: 2011, Publications|Tags: , , |

Abstract: The extraction and analysis of useful information from old document images is very important into cultural heritage preservation. In advanced research, where the goal is to separate the foreground (in general, text) from the background, image restoration and pattern classification techniques are used. Most of these methods consist of classifying the pixels based on their gray-scale value. In this paper, we propose to perform foreground pattern extraction using regions-of-interest [...]

11th International Conference On Document Analysis ans Recognition (ICDAR)|

1008, 2020

Lecture Notes in Computer ScienceThe Future InternetRenewable Energy Provisioning for ICT Services in a Future Internet

By |August 10th, 2020|Categories: 2011, Publications|Tags: , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |

Renewable Energy Provisioning for ICT Services in a Future Internet Springer Berlin Heidelberg, Volume 6656, Berlin, Heidelberg, p.419 - 429 (2011) ISBN: 978-3-642-20898-0

1008, 2020

Indexing On-Line Handwritten Texts Using Word Confusion Networks

By |August 10th, 2020|Categories: 2011, Publications|Tags: , |

Abstract: In the context of handwriting recognition, word confusion networks (WCN) are convenient representations of alternative recognition candidates. They provide alignment for mutually exclusive words along with the posterior probability of each word. In this paper, we present a method for indexing on-line handwriting based on WCN. The proposed method exploits the information provided by WCN in order to enhance relevant keyword extraction. In addition, querying the index for a [...]

Proceedings of the 11th Int Conference on Document Analysis and Recognition (ICDAR 2011)|

1008, 2020

COMBINING STATISTICAL AND GEOMETRICAL CLASSIFIERS FOR TEXT EXTRACTION INMULTISPECTRAL DOCUMENT IMAGESR

By |August 10th, 2020|Categories: 2011|Tags: , |


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International Workshop on Historical Document Images Processing (HIP)|||

1008, 2020

Non-local adaptive structure tensors. Application to anisotropic diffusion and shock filtering

By |August 10th, 2020|Categories: 2011|Tags: , , |

Keywords: Adaptive tensor regularization, Anisotropic diffusion, PDEs, shock filter, Structure tensor


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Image and Vision Computing||||

1008, 2020

Semi-Supervised Learning using Bayesian Interpretation: Application to LS-SVM

By |August 10th, 2020|Categories: 2011|Tags: , , |


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IEEE Transactions on Neural Networks||||

1008, 2020

Leveraging Green Communications for Carbon Emission Reductions: Techniques, Testbeds and Emerging Carbon Footprint Standards

By |August 10th, 2020|Categories: 2011, Publications|Tags: , , , , , , , , , , , |

Abstract: Green communication systems and, in broader terms, green information and communications technologies have the potential to significantly reduce greenhouse gas emissions worldwide. This article provides an overview of two issues related to achieving the full carbon abatement potential of ICT. First, green communications research challenges are discussed, notably as they pertain to networking issues. Various initiatives regarding green ICT testbeds are presented in the same realm in order to [...]

IEEE Communications Magazine|

1008, 2020

Help-Training for Semi-supervised Learning

By |August 10th, 2020|Categories: 2011|Tags: , |


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Pattern Recognition|||

1008, 2020

Beyond pixels and regions: A non-local patch means (NLPM) method for content-level restoration, enhancement, and reconstruction of degraded document images

By |August 10th, 2020|Categories: 2011|Tags: , |


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Pattern Recognition|||

1008, 2020

Low Carbon Virtual Private Clouds

By |August 10th, 2020|Categories: 2011|Tags: , , |


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4th IEEE International Conference on Cloud Computing||||

1008, 2020

A local linear level set method for the binarization of degraded historical document images

By |August 10th, 2020|Categories: 2011|Tags: , , |

Keywords: Computer Science


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IJDAR||||

1008, 2020

A spatially adaptive statistical method for the binarization of historical manuscripts and degraded document images

By |August 10th, 2020|Categories: 2011|Tags: , , |

Keywords: Adaptive local document image classification, Document images binarization, Historical and degraded documents


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Pattern Recognition||||

1008, 2020

Semi-Supervised Learning for Weighted LS-SVM

By |August 10th, 2020|Categories: 2010, Publications|Tags: , |

Abstract: The least squares support vector machine (LS-SVM) is an interesting variant of the SVM. It performs structural risk through margin-maximization and has excellent power of generalization. For some applications, it is more interesting to use the weighted LS-SVM where the impact of each training sample is controlled by weighting factors. In this paper, we consider the use of the weighted LS-SVM in semi-supervised learning. We propose an algorithm to [...]

IEEE World Congress on Computational Intelligence|

1008, 2020

Evolving Fuzzy Classifiers: Application to Incremental Learning Handwritten Gesture Recognition Systems

By |August 10th, 2020|Categories: 2010, Publications|Tags: , , , |

Abstract: In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a fuzzy adaptation method in order to learn and maintain the model. We use this method to build an evolving handwritten gesture recognition system. The self-adaptive nature of this system allows it to start its learning process with few learning data, to continuously adapt and [...]

ICPR|

1008, 2020

Degraded Color Document Image Enhancement Based on NRCIR

By |August 10th, 2020|Categories: 2010, Publications|Tags: , , |

Abstract: An automatic algorithm of degraded color document image enhancement is proposed based on our previous work on Natural Rendering of Color Image using Retinex (NRCIR) with respects to document image characteristics. In the proposed work, an adaptive workflow is designed to enhance both luminance and chrominance contrast of document image while maintaining degradations within tolerance and hue-shift minimized. Tests with degraded document image databases are effectuated, and the results [...]

The second European Workshop on Visual Information Processing EUVIP|

1008, 2020

Semi-automatic segmentation of major aorto-pulmonary collateral arteries for image guided procedures

By |August 10th, 2020|Categories: 2010, Publications|Tags: , , , , |

Abstract Manual segmentation of pre-operative volumetric dataset is generally time consuming and results are subject to large inter-user variabilities. Level-set methods have been proposed to improve segmentation consistency by finding interactively the segmentation boundaries with respect to some priors. However, in thin and elongated structures, such as major aorto-pulmonary collateral arteries (MAPCAs), edge-based level set methods might be subject to flooding whereas region-based level set methods may not be selective [...]

SPIE Med. Imag.|

1008, 2020

A New PCA-based Face Authentication Approach for Smart-Card Implementation

By |August 10th, 2020|Categories: 2010, Publications|Tags: , , , , , |

Abstract: In this paper, we present a new PCA-based face verification approach for smart cards implementation. In fact, our scheme deals with the reduced storage space of smart cards. First of all the DCT2 and then the self Eigen face, are respectively applied for the training step and in the decision step, a new similarity index based on the weighted distance by the representation quality of individuals is used. Experimental [...]

International Review on Computers and Software|

1008, 2020

Length increasing active contour for the segmentation of small blood vessels

By |August 10th, 2020|Categories: 2010|Tags: , , , |


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20th International Conference on Pattern Recognition|||||

1008, 2020

IBN SINA: a database for research on processing and understanding of Arabic manuscripts images

By |August 10th, 2020|Categories: 2010|Tags: , , , , |


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DAS'10||||||

1008, 2020

Genetic Algorithm based training for Semi-supervised SVM

By |August 10th, 2020|Categories: 2010|Tags: , |


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Neural Computing and Application|||

1008, 2020

Decreasing live virtual machine migration down-time using a memory page selection based on memory change PDF

By |August 10th, 2020|Categories: 2010|Tags: , |

Keywords: ICT infrastructures, information and communication technology, information management, live data center migration, live virtual machine, mathematical model, memory change PDF, memory page selection, resource allocation, service level agreements, virtual machines


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Sensing and Control (ICNSC), 2010 International Conference on Networking|||

1008, 2020

Segmentation-based Document Image Denoising

By |August 10th, 2020|Categories: 2010|Tags: , , |


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The second European Workshop on Visual Information Processing EUVIP||||

1008, 2020

Ontology-Based Resource Description and Discovery Framework for Low Carbon Grid Networks

By |August 10th, 2020|Categories: 2010|Tags: , , , |

Keywords: belief networks, computer centres, energy conservation, energy consumption, energy management systems, ontologies (artificial intelligence), power engineering computing, smart power grids


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First IEEE International Conference on Smart Grid Communications|||||

1008, 2020

Green ICT: the rationale for a focus on curbing greenhouse gas emission

By |August 10th, 2020|Categories: 2010|Tags: , , , |


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WCSP 2010|||||

1008, 2020

A Cluster-based Multiagent Model for Resource Discovery in Virtualized Environments

By |August 10th, 2020|Categories: 2010|Tags: , , , |


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GRES|||||

1008, 2020

Personalizable Pen-Based Interface using Lifelong Learning

By |August 10th, 2020|Categories: 2010|Tags: , , , |


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Conference ICFHR|||||

1008, 2020

Le contrôle d’accès dans les environnements fédérés – Problématique et approches techniques

By |August 10th, 2020|Categories: 2010|Tags: , , |

Keywords: contrôle d’accès, environnements fédérés, federated environments, grids, grilles, GSI, Information Cards, Information Cards. access control, Shibboleth


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Proc. of the ninth colloque francophone sur la Gestion de Réseaux Et de Services (GRES)||||

1008, 2020

A multi-scale framework for adaptive binarization of degraded document images

By |August 10th, 2020|Categories: 2010|Tags: , |

Keywords: Adaptive methods, Binarization, Document image processing, Multi-scale framework


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Pattern Recognition|||

1008, 2020

A Variational Approach to Degraded Document Enhancement

By |August 10th, 2020|Categories: 2010|Tags: , |

Keywords: bleed-through, variational, wavelet


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IEEE Transactions on Pattern Analysis and Machine Intelligence|||

1008, 2020

Text extraction from degraded document images

By |August 10th, 2020|Categories: 2010|Tags: , , |


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EUVIP'10||||

1008, 2020

Unified Framework for SVM model Selection

By |August 10th, 2020|Categories: 2009, Publications|Tags: , |

Abstract Model selection for support vector machines (SVMs) involves tuning SVM hyperparameters, such as C, which controls the amount of overlap, and the kernel parameters. Several criteria developed for doing so do not take C into account. In this paper, we propose a unified framework for SVM model selection which makes it possible to include C in the definition of the kernel parameters. This makes tuning hyperparameters for SVMs equivalent [...]

Hands-on pattern recognition: challenges in data representation, model selection, and performance prediction|

1008, 2020

SSIP:The Combined Statistical Stepwise and Iterative Neural Network Pruning Algorithm

By |August 10th, 2020|Categories: 2009|Tags: , , , |


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Intelligent Automation and Soft Computing, 15(4): 573-589|||||

1008, 2020

New Frontiers in Handwriting Recognition.

By |August 10th, 2020|Categories: 2009|Tags: , , , , |


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Pattern Recognition 42(12): 3129-3130||||||

1008, 2020

A New Approach for Skew Correction of Documents Based on Particle Swarm Optimization

By |August 10th, 2020|Categories: 2009|Tags: , |


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IAPR ICDAR|||

1008, 2020

Model selection for the LS-SVM. Application to handwriting recognition

By |August 10th, 2020|Categories: 2009|Tags: , |


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Pattern Recognition 42(12): 3264-3270|||

1008, 2020

Image Watermarking Based on the Hessenberg Transform.

By |August 10th, 2020|Categories: 2009|Tags: , , , |


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Int. J. Image Graphics 9(3): 411-433|||||

1008, 2020

Help-Training semi-supervised LS-SVM

By |August 10th, 2020|Categories: 2009|Tags: , |


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IEEE Intl. IJCNN|||

1008, 2020

Handwriting recognition research: Twenty years of achievement… and beyond.

By |August 10th, 2020|Categories: 2009|Tags: , , , , |


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Pattern Recognition 42(12): 3131-3135||||||

1008, 2020

Handling Out-of-Vocabulary Words and Recognition Errors Based on Word Linguistic Context for Handwritten Sentence Recognition

By |August 10th, 2020|Categories: 2009|Tags: , , |


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IAPR ICDAR||||

1008, 2020

Design of a framework using InkML for pen-based interaction in a collaborative environment

By |August 10th, 2020|Categories: 2009|Tags: , , |


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ACM Intl. Conference on HCI||||

1008, 2020

2DPCA based techniques in DCT domain for face recognition

By |August 10th, 2020|Categories: 2009|Tags: , , , , |


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Intelligent Systems Technologies and Applications (7)3: 243-265||||||

1008, 2020

Semi-Supervised Least Squares Support Vector Machine

By |August 10th, 2020|Categories: 2009|Tags: , |


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IEEE Transactions on Neural Networks|||

1008, 2020

Robust NL-means filter with optimal smoothing parameter for statistical image denoising

By |August 10th, 2020|Categories: 2009|Tags: , |


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IEEE Trans. on Signal Processing, 57(5): 1703-1716|||

1008, 2020

Robust Authentication Using Likelihood Ratio based Score Fusion of Voice and face

By |August 10th, 2020|Categories: 2009|Tags: , , , , |


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2009 SIGMAP||||||

1008, 2020

Robust authentication using Likelihood Ratio and GMM for the fusion of voice and face

By |August 10th, 2020|Categories: 2009|Tags: , , , , |


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2009 IEEE Intl. Conf. ICIP||||||

1008, 2020

Modèles mathématiques de traitement visuel d’images

By |August 10th, 2020|Categories: 2009|Tags: |


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|

1008, 2020

Correcting Arabic OCR Errors using Improved Topic based language Models

By |August 10th, 2020|Categories: 2009|Tags: , |


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Int. Journal of Computer Processing of Oriental Languages|||

1008, 2020

Algorithmes d’apprentissage semi-supervisé des SVMs

By |August 10th, 2020|Categories: 2009|Tags: |


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Director: M. Cheriet (ÉTS)||

1008, 2020

AEG, un cadre conceptuel d’Architecture d’Entreprise pour les Gestionnaires

By |August 10th, 2020|Categories: 2009|Tags: , |

Keywords: Enterprise Architecture, Framework


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Information Technology|||

1008, 2020

Markovian Clustering For the Non-Local Means Image Denoising

By |August 10th, 2020|Categories: 2009|Tags: , , |


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IEEE ICIP'09||||

1008, 2020

RSLDI: Restoration of single-sided low-quality document images

By |August 10th, 2020|Categories: 2009|Tags: , |


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Pattern Recognition|||

1008, 2020

Low quality document image modeling and enhancement

By |August 10th, 2020|Categories: 2009|Tags: , |


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IJDAR|||

1008, 2020

A unified framework based on the level set approach for segmentation of unconstrained double-sided document images suffering from bleed-through

By |August 10th, 2020|Categories: 2009|Tags: , , , |


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ICDAR'09|||||

1008, 2020