Mohamed Cheriet

Mohamed Cheriet
École de Technologie Supérieure · Multimedia Communication in Telepresence (SYNCHROMEDIA)

PEng., PhD, SM'IEEE, FIAPR, FCAE, FCE

About

542
Publications
117,892
Reads
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8,694
Citations
Citations since 2016
186 Research Items
4750 Citations
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800
20162017201820192020202120220200400600800
Introduction
Additional affiliations
June 1992 - present
École de Technologie Supérieure
Position
  • Professor (Full)

Publications

Publications (542)
Conference Paper
Full-text available
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 Open Centralized Unit (O-CU), Open Distributed Unit (O-DU) and Open Radio Unit (O-RU). Unfortunately, no standard data communication mechanism has been defined for the co...
Article
Full-text available
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-mentio...
Article
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...
Article
Full-text available
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 UAVs energy efficiency, in which both aerodynamic energy and c...
Article
Recently, the exponential growth of the Internet of Things (IoT) services with heterogeneous requirements becomes a burden to the traditional cloud/datacenter platform. Edge computing is an emerging solution to gain business value of IoT services where real-time demands become satisfied by moving computing resources close to data sources. Neverthel...
Article
The combination of space division multiplexing technology with elastic optical networks allows to overcome the possible capacity crunch in backbone networks and also improves network flexibility by jointly managing spectral and spatial resources. However, against this background implemented by multi-core fibers, the interaction between spatial mode...
Conference Paper
Full-text available
Recently, Flexible Ethernet (FlexE) has emerged as a new transmission technology allowing the flexible utilization of optical transport. This flexibility helps improve network ability against failures. FlexE recovers from a physical link (PHY) failure by migrating traffic to a new PHY. However, this task is costly, especially for critical failures...
Conference Paper
Full-text available
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 e cient solution to this problem. However, in model failure cases, predicting a higher-r...
Article
Features extraction is one of the most important steps in handwriting recognition systems. In this paper, we propose a novel features extraction method, which is adapted to the complex nature of Arabic handwriting. The proposed feature called Histogram of marked background (HMB) is not considering only ink pixels in a text image, but also uses the...
Article
Full-text available
This paper studies the communication problem between UAVs and cellular base stations in a 5G IoT scenario where multiple UAVs work together. We are dedicated to the uplink channel modeling and the performance analysis of the uplink transmission. In the channel model, we consider the impact of 3D distance and multi-UAVs reflection on wireless signal...
Preprint
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 syst...
Article
Full-text available
We discuss in this paper the challenge of enhancing the dendritic cell algorithm preprocessing phase. In short, to minimize data dimensionality we propose a new dendritic cell algorithm based on Non-negative Matrix Factorization. The aim of this method is to extract latent features from lower rank data transformation. The proposed method was divide...
Article
Today, Model predictive control (MPC) has largely been used to optimize energy consumption and maintain thermal comfort in buildings. However, to build an online MPC model in building, the dynamics of the physical system must be accurately modeled, which is a time-consuming and costly task. Neural network models help to overcome the modeling proble...
Article
Full-text available
The industrial Internet of Things (IoT) can monitor production in real-time by collecting the status of parts on the production line with cameras. It is easy to have bright and dark areas in the same image because of the smooth surfaces of mechanical parts and the unstable light source, which affects semantic segmentation’s performance. This paper...
Article
Full-text available
In recent years, the Industrial world has been embracing new digital technology, including the internet of things (IoT) paradigm that promises revolutionizing-prospects in numerous industrial applications. However, many deployment challenges related to real-time big data analytics, service assurance, resource optimization, energy consumption, and s...
Article
Internet of Things (IoT) services have been implemented for several network applications from smart cities to rural areas. However, there are many barriers to provide an efficient solution for the IoT service deployment underlying innovation SDN/NFV-based technologies. First, though an IoT service can flexibly deploy via virtual network functions (...
Article
Full-text available
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...
Article
Full-text available
Routing in multi-layer multi-domain (MLMD) networks is challenging due to different technologies and cooperation between different layers and domains. The MLMD routing problem has been considered in prior work, however most of them paid no attention to the inter-layer (or boundary) links, and the inter-domain routing is not yet optimized due to lac...
Article
Hybrid electrical/optical (E/O) switching data center network (DCN) has recently emerged as a promising paradigm for future DCN architectures. However, there exist two major challenges: 1) the traffic is a mixture of both stable and burst components due to the diverse and heterogeneous user demands; 2) current scheduling algorithms are mostly stati...
Article
Full-text available
Accurate indoor air temperature (IAT) predictions for heating, ventilation, and air conditioning (HVAC) systems are challenging, especially for multi-zone building and for different HVAC system types. Moreover, the nonlinearity of the buildings thermal dynamics makes the IAT prediction more difficult since it is affected by complex factors such as...
Preprint
Full-text available
In a frequency division duplexing multiple-input multiple-output (FDD-MIMO) system, the user equipment (UE) send the downlink channel state information (CSI) to the base station for performance improvement. However, with the growing complexity of MIMO systems, this feedback becomes expensive and has a negative impact on the bandwidth. Although this...
Article
Full-text available
Network traffic prediction is substantial for network optimization and resource management. However, designing an efficient predictive model considering different traffic characteristics, including periodicity, nonlinearity, and nonstationarity, is challenging. Recently, ensemble learning is attracting much attention from researchers in the machine...
Conference Paper
Full-text available
Optimized routing in multi-layer multi-domain (MLMD) IP-optical networks is challenging due to different technologies and policies in different domains. In this paper, we investigate the problem of using the hierarchical path computation engine (PCE) to leverage the performance of FlexE—the new flexible Ethernet technology which is used to map traf...
Conference Paper
Missing values can significantly affect the result of analyses and decision making in any field. Two major approaches deal with this issue: statistical and model-based methods. While the former brings bias to the analyses, the latter is usually designed for limited and specific use cases. To overcome the limitations of the two methods, we present a...
Article
In this paper, we propose a novel method for Multispectral document image binarization (MSdB) through the Non-negative Matrix Factorization (NMF) approach. We propose a three-step MSdB-NMF framework: i) NMF-based feature extraction algorithm by introducing a new optimization problem; ii) post-processing method iii); apply any existing gray/RGB bina...
Conference Paper
Full-text available
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 p...
Conference Paper
A main component of the Multi-Layer Multi-domain (MLMD) orchestration is the end-to-end path computation over the packet and optical layers. Routing in MLMD networks is complex and requires special computational elements and cooperation between different layers and domains. The goal is to optimize the utilization of Wide Area Networks (WANs) levera...
Article
Full-text available
Recently, campuses have been embracing smart digital technologies in order to boost the efficiency of education and creativity. Thus, massive heterogeneous flows are generated as a result of multitude simultaneous access from several heterogeneous devices. This is putting pressure on campuses to make better management of their constrained resources...
Article
Full-text available
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 id...
Article
Full-text available
An increase in the quantity and density of antenna elements increases the mismatched failure rate and measurement difficulty of the multiple-input multiple-output. To simplify the measurement method of the S11 parameter utilizing the traditional vector network analyzer, this article proposes a multiple-input multiple-output measurement method based...
Conference Paper
Full-text available
Optimized routing in multi-layer multi-domain (MLMD) IP-optical networks is challenging due to different technologies and policies in different domains. In this paper, we investigate the problem of using the hierarchical path computation engine (PCE) to leverage the performance of FlexE-the new flexible Ethernet technology which is used to map traf...
Preprint
Full-text available
Over the past two decades, the Internet of Things (IoT) has become an underlying concept to a variety of solutions and technologies that it is now hardly possible to enumerate and describe all of them. The concept behind the Internet of Things is as powerful as it is complex, and for the components in the IoT solution tomesh together perfectly, the...
Article
Full-text available
Over the past several years, sponsored mobile data and the payment directions on the Internet have been two major subjects in network economics. Several tier-1 service providers (SPs) created their frameworks for sponsored mobile data by cooperating with content providers. Based on these frameworks, users can have free data transfer if they accompl...
Article
Full-text available
Today, increasing attention is being paid to Data Center (DC) traffic classification since these infrastructures have become the heart of a variety of time-sensitive and data-intensive service platforms. Classification provides the required tools for better understanding traffic patterns in order to ensure high Quality of Service (QoS) performances...
Article
Decreasing the greenhouse gas (GHG) emissions from the residential sector is critical to the low-carbon transition. Applying information and communication technologies to power systems makes it possible to reduce GHG emissions in the residential sector, for example through the development of smart homes. Smart homes are more energy efficient and th...
Article
Full-text available
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 sc...
Article
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 di...
Article
Full-text available
The 5G cellular network is expected to provide core service platform for the expanded Internet of Things (IoT) by supporting enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and ultra-reliable low latency communications (URLLC). Unmanned aerial vehicles (UAVs), also known as drones, provide civil, commercial, and governm...
Article
Full-text available
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 depl...
Article
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 rela...
Article
Full-text available
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 almo...
Article
The inclusion of temporal aspects in the environmental assessment of complex socio-technical systems is crucial. For power systems, such considerations allow computing the environmental impacts related to demand-side management strategies which could not be assessed with static data, such as temporal shifts of part of the demand from one period of...
Article
To truly reduce environmental impacts in sustainable consumption, lifestyle assessments should be performed for all areas of protection and because human behaviours drive lifestyles, they must be accurately accounted for. Life cycle analysis (LCA) computes environmental impacts across several indicators and throughout the life cycle stages of a pro...
Conference Paper
Full-text available
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 rela...
Article
Full-text available
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 introduc...
Conference Paper
Including dynamic aspects in the environmental assessment of power systems allows computing the environmental benefits of demand-side management strategies for the smart grid which could not be assessed with static data such as shifting part of the demand from one period to another. Several methodological approaches have been developed in life cycl...
Article
Smart home gateways have to forward multi-sourced network traffic generated with different distributions and with different Quality of Service (QoS) requirements. 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...
Article
Epochal documents suffer from several types of noises that accumulate and evolve over time. This significantly affects their quality and makes their storage and the interpretation of their visual content problematic. Digital preservation seems the most viable and the most promising. Moreover, measuring the amount of degradation and quality assessme...