A5057674250- CCD and CMOS Imaging Sensors
- Neural Networks and Applications
- Embedded Systems Design Techniques
- Parallel Computing and Optimization Techniques
- Gastrointestinal Bleeding Diagnosis and Treatment
- Interconnection Networks and Systems
- Advanced Data Compression Techniques
- Advanced Memory and Neural Computing
- Image Processing Techniques and Applications
- Colorectal Cancer Screening and Detection
- Image and Signal Denoising Methods
- Distributed and Parallel Computing Systems
- Gastric Cancer Management and Outcomes
- Real-Time Systems Scheduling
- Particle Detector Development and Performance
- Advanced Vision and Imaging
- Advanced Optical Sensing Technologies
- Medical Imaging Techniques and Applications
- Robotics and Sensor-Based Localization
- Digital Filter Design and Implementation
- Infrared Target Detection Methodologies
- Particle physics theoretical and experimental studies
- Sensor Technology and Measurement Systems
- Neuroscience and Neural Engineering
- Video Coding and Compression Technologies
Laboratoire de Recherche en Informatique de Paris 6
2013-2025
Centre National de la Recherche Scientifique
2013-2024
Institut d'Électronique et des Systèmes
2015-2024
Sorbonne Université
2014-2024
Sorbonne Paris Cité
2019-2021
Université Paris Cité
2014-2021
UPMC Health System
2015
University of Douala
2013-2014
CY Cergy Paris Université
2009-2013
Equipes Traitement de l'Information et Systèmes
2008-2013
We address the problem of scheduling workflow applications on heterogeneous computing systems like cloud infrastructures. In general, is a complex optimization which requires considering different criteria so as to meet large number QoS (Quality Service) requirements. Traditional research in mainly focuses constrained by time or cost without paying attention energy consumption. The main contribution this study propose new approach for multi-objective clouds, and present hybrid PSO algorithm...
Image and video transmission over heterogeneous networks may encounter packet loss due to the channel impairments, leading quality degradation of received image. In this paper, a novel robust image system is proposed by casting error concealment challenge into sparse recovery framework. To purpose, encoder carefully designed in order mitigate negative effects loss. After wavelet decomposition, quadtree structure coefficients used rearrange them independent partitions. Random linear...
In recent years, there has been a tremendous increase in the use of connected devices as part so-called Internet Things (IoT), both private spaces and industry. Integrated distributed systems have shown many benefits compared to isolated devices. However, exposing industrial infrastructure global also generates security challenges that need be addressed benefit from tighter integration reduced reaction times. Machine learning algorithms demonstrated their capacity detect sophisticated cyber...
In high-energy physics, the increasing luminosity and detector granularity at Large Hadron Collider are driving need for more efficient data processing solutions. Machine Learning has emerged as a promising tool reconstructing charged particle tracks, due to its potentially linear computational scaling with hits. The recent implementation of graph neural network-based track reconstruction pipeline in first level trigger LHCb experiment on GPUs serves platform comparative studies between...
Joint sparse representation (JSR) model has recently emerged as a powerful technique with wide variety of applications. In this paper, the JSR is extended to error concealment (EC) application, being effective recover original image from its corrupted version. This based on jointly learning dictionary pair and two mapping matrices that are trained offline external training images. Given dictionaries mappings, restoration done by transferring recovery problem into domain respect dictionaries,...
Cloud computing is a fast growing technology allowing companies to use on-demand computation, and data services for their everyday needs. The main contribution of this work propose new model genetic algorithm the workflow scheduling problem. must be capable of: 1) dealing with multi-objective problem optimising several quality service (QoS) variables, namely: computation time, cost, reliability or security; 2) handling large number aspects such as adding constraints on QoS variables...
This paper proposes an adaptive compressive sensing reconstruction method which provides a higher recovered image quality. Based on initial sampling at given rate, the visually salient regions of that are more conspicuous to human visual system extracted using classical graph-based method. The target acquisition subrate is further adaptively allocated among these regions, such new will favor interest areas. measurements produced by this fully compatible with existing sparse algorithms,...
Wireless video capsules can now carry out gastroenterological examinations. The images make it possible to analyze some diseases during postexamination, but the gastroenterologist could a direct diagnosis if capsule integrated vision algorithms. first step toward in situ is implementation of 3-D imaging techniques capsule. By transmitting only instead images, autonomy increased. This paper focuses on Cyclope project, an embedded active system that able provide and texture data real time....
Wireless capsule endoscopy (WCE) is commonly used for noninvasive gastrointestinal tract evaluation, including the identification of polyps. In this paper, a new multimodal embeddable method polyp detection and classification in wireless endoscopic images was developed tested. The both 2D 3D data to identify possible polyps deliver cancerous information based on geometric features. Possible within image (2D) were extracted using simple shape features and, second step, candidate regions...
This paper presents the OveRSoC project. The objective is to develop an exploration and validation methodology of embedded Real Time Operating Systems (RTOSs) for Reconfigurable System‐on‐Chip‐based platforms. Here, we describe overall corresponding design environment. method based on abstract modular SystemC models that allow explore, simulate, validate distribution OS services this kind platform. experimental results show our components accurately model dynamic deterministic behavior both...
With the growing number of cores on chips, conventional electrical interconnects reach scalability limits, leading way for alternatives like Radio Frequency (RF), optical and 3D. Due to variability applications, communication needs change over time across regions chip. To address these issues, a dynamically reconfigurable Network Chip (NoC) is proposed. It uses RF Orthogonal Division Multiple Access (OFDMA) create channels whose allocation allows dynamic reconfiguration. We describe NoC...
A paradigm shift is apparent in Chip Multiprocessor (CMP) design, as the new performance bottleneck becoming communication rather than computation. It widely provisioned that number of cores on a single chip will reach thousands decade. Thus, high rate interconnects such optical or RF have been proposed by various researchers. However, these interconnect structures fail to provide essential requirements heterogeneous on-chip traffic; bandwidth reconfigurability and broadcast support with low...
Neurobiological systems have often been a source of inspiration for computational science and engineering, but in the past their impact has also limited by understanding biological models. Today, new technologies lead to an equilibrium situation where powerful complex computers bring knowledge brain behavior. At this point, we possess sufficient both imagine brain-inspired computing paradigms sustain classical paradigm which reaches its end programming intellectual limitations. In context,...
This paper presents an FPGA-based real-time acoustic features extraction method based on MFCC (Mel-Frequency Cepstral Coefficients). The proposed system enables automatic audio indexing of broadcast data from the European standard Frequency Modulation (FM) radio band. Using modelbased design approach that reduces overall time, we successfully implemented it Virtex 6 FPGA clocked at more than 150 MHz. experiments have shown one hand, a high accuracy between calculation and its Matlab-based...
This paper focuses on the study of fibrosis induced by an implanted medical device and explores possibility characterizing this process in situ measurement electrical impedance. The approach combines concurrent biological characterizations fibrotic tissue, applied to electrodes animal model. methodology used is described. Initial results evidence strong correlation between tissue parameters. Identification such parameters will enable establishment a reliable monitoring method.
SRAM-based FPGAs are very sensitive to harsh conditions, like radiations or ionizations, and need be hardened insure correct running. To validate any fault tolerant solution for these SRAM-FPGA, injection campaigns must conducted carefully. In this work, we present a new design flow perform localized internal on specific parts of Design Under Test (DUT). achieve this, combine between 1) Partial Dynamic Reconfiguration (PDR) via Internal Configuration Access Port (ICAP) rapid insertion SRAM;...
Abstract The next decade will see an order of magnitude increase in data collected by high-energy physics experiments, driven the High-Luminosity LHC (HL-LHC). reconstruction charged particle trajectories (tracks) has always been a critical part offline processing pipelines. complexity HL-LHC however increasingly mandate track finding all stages experiment's real-time processing. This paper presents GNN-based track-finding pipeline tailored for Run 3 LHCb vertex detector and benchmarks its...
This paper presents a new embeddable method for polyp detections in Wireless Capsule Endoscopic - WCE images. this approach consists first of extracting candidate polyps within the image using geometric considerations about related shape, and second, classifying (polyp/non-polyp) obtained candidates by boosting-based texture features. The proposed has been designed accordance with hardware constraints to FPGA implementation integration imaging device. classification performance have...
This work focuses on the recognition of three-dimensional colon polyps captured by an active stereo vision sensor. The detection algorithm consists SVM classifier trained robust feature descriptors. study is related to Cyclope, this prototype sensor allows real time 3D object reconstruction and continues be optimized technically improve its classification task differentiation between hyperplastic adenomatous polyps. Experimental results were encouraging show correct rate approximately 97%....