0000000001285764

AUTHOR

Toufik Bakir

showing 18 related works from this author

Real-time weighting optimization in Chinese Postman Problem

2013

International audience; In this study, based on real-time constraint, an optimization method is proposed for solving the problem of the optimal tour. For that, we will construct a graph containing the real-time state of traffic. The collected data will be used to predict the future state traffic and to give an optimized cost of the tour. This optimization is tested in different sizes of the road networks. The results show that the proposed method is efficient and effective in solving the Chinese Postman Problem in real-time.

EngineeringMathematical optimization021103 operations research[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processingbusiness.industry0211 other engineering and technologies0102 computer and information sciences02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing01 natural sciencesWeighting[SPI.AUTO]Engineering Sciences [physics]/AutomaticRoute inspection problem[SPI.AUTO] Engineering Sciences [physics]/Automatic[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing010201 computation theory & mathematicsRoad networks[ SPI.AUTO ] Engineering Sciences [physics]/AutomaticGraph (abstract data type)Real-time databusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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Estimation of Muscular Fatigue under Electromyostimulation Using CWT

2012

International audience; The aims of this study are to investigate muscular fatigue and to propose a new fatigue index based on the continuous wavelet transform (CWT) which is compared to the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles (electromyogram) acquired during an electrically stimulated contraction thanks to two modules (electromyostimulation + electromyography recording) that can analyze EMG signals in real time during electromyostimulation. The extracted parameters are compared with each other and their sensitivity to noise is studied. The effect of truncation of M waves is then investigated, enlightening the robustn…

AdultMaletruncationwavelet.Acoustics0206 medical engineeringBiomedical EngineeringWavelet Analysis02 engineering and technologyElectromyography03 medical and health sciences0302 clinical medicineWaveletwaveletmedicineHumansContinuous wavelet transformMathematicsMuscle fatiguemedicine.diagnostic_testMuscle fatigueElectromyographyBiomechanicsWavelet transform020601 biomedical engineering[SPI.TRON] Engineering Sciences [physics]/ElectronicsElectric StimulationElectromyogram[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsForearmMuscular fatigueArmElectromyostimulation030217 neurology & neurosurgeryBiomedical engineering
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Robustly correlated key‐medical image for DNA‐chaos based encryption

2021

Abstract Medical images include confidential and sensitive information about patients. Hence, ensuring the security of these images is a crucial requirement. This paper proposes an efficient and secure medical image encryption‐decryption scheme based on deoxyribonucleic acid (DNA), one‐dimensional chaotic maps (tent and logistic maps), and hash functions (SHA‐256 and MD5). The first part of the proposed scheme is the key generation based on the hash functions of the image and its metadata. The key then is highly related and intensely sensitive to the original image. The second part is the rotation and permutation of the first two MSB bit‐plans of the medical image to reduce its black backgr…

business.industryComputer sciencePattern recognitionEncryptionImage (mathematics)CHAOS (operating system)QA76.75-76.765Signal ProcessingPhotographyKey (cryptography)Computer softwareComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringTR1-1050businessSoftwareIET Image Processing
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Multi axis representation and Euclidean distance of muscle fatigue indexes during evoked contractions

2014

International audience; In this article, we proposed a new representation of muscular fatigue during evoked muscle contractions based on fatigue indexes such as peak to peak amplitude, RMS of the M wave, mean and median frequency and fatigue index calculated from continuous wavelet transform (I CWT). These new representations of muscle fatigue using multi axis represented and Euclidean distance give better insights on changes in physiological characteristics during muscle fatigue. This technique provides a fatigue index using several muscle characteristics. The use of other kinds of fatigue characteristics as force could also be possible.

medicine.diagnostic_testMuscle fatigueSpeech recognitionMulti axis0206 medical engineeringMathematical analysis02 engineering and technologyElectromyography[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing020601 biomedical engineering[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsEuclidean distance03 medical and health sciences0302 clinical medicineAmplitudeMuscular fatiguemedicineRepresentation (mathematics)[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing030217 neurology & neurosurgeryContinuous wavelet transform[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematics
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An intelligent Proportional controller of a Seeded Batch Crystallizer

2020

Crystallization process is used in a very wide range of industrial applications. However, highly nonlinear comportment of such process and the difficulties of characterizing several phenomenological effects makes difficult to find suitable operational procedures for producing required products. In this article, we use a model-free control (MFC) for controlling the mean size of crystals produced by seeded batch cooling crystallization. The MFC method is distinguished notably in terms of the modeling strategy. Rather than developing a crystallization model within the classic population balance equation (PBE) together with the mass balance and the energy balance, as is usually done, we use a l…

0209 industrial biotechnologyNoise measurementEnergy balanceProcess (computing)Population balance equationProportional control02 engineering and technologylaw.inventionNonlinear system020901 industrial engineering & automation020401 chemical engineeringControl theorylaw0204 chemical engineeringCrystallization2020 17th International Multi-Conference on Systems, Signals & Devices (SSD)
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Controlling muscular force by functional electrical stimulation using intelligent PID

2015

Functional Electrical Stimulation (FES) appears as a way of extremely promising research today to solve numerous pathology connected to the deficiencies of the nervous system. It is usually used for the rehabilitation of people with neurological disorders. Generally, skeletal muscles are activated by using Constant Frequency Trains (CFTs) with a fixed amplitude and inter-pulse duration. In addition, the systems of electrical stimulation do not adapt the parameters stimulation to obtain a desired force response during the rehabilitation session. The purpose of this study is to adapt automatically the stimulation parameters to the force desired by the clinician with an intelligent PID control…

Engineeringbusiness.industryPulse (signal processing)Control theoryFunctional electrical stimulationPID controllerMuscular forceConstant frequencyStimulationControl engineeringbusiness2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)
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A mixed FES/EMG system for real time analysis of muscular fatigue

2010

International audience; In this article, we present a functional electrical stimulator allowing the extraction in real time of M-wave characteristics from resulting EMG recodings in order to quantify muscle fatigue. This system is composed of three parts. A Labview software managing the stimulation output and electromyogram (EMG) input signal, a hardware part amplifying the output and input signal and a link between the two previous parts which is made up from input/output module (NIdaq USB 6251). In order to characterize the fatigue level, the Continuous Wavelet Transform is applied yielding a local maxima detection. The fatigue is represented on a scale from 0 for a fine shaped muscle to …

Engineering0206 medical engineering02 engineering and technologyElectromyographyUSBSensitivity and SpecificitySignallaw.invention03 medical and health sciences0302 clinical medicinelawElectronic engineeringmedicineHumansMuscle SkeletalSimulationContinuous wavelet transformMuscle fatiguemedicine.diagnostic_testElectromyographybusiness.industryReproducibility of ResultsWavelet transformEquipment Design020601 biomedical engineeringElectric Stimulation[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/ElectronicsEquipment Failure AnalysisMaxima and minimaMuscle Fatiguemedicine.symptombusinessAlgorithmsSoftware030217 neurology & neurosurgeryMuscle ContractionMuscle contraction2010 Annual International Conference of the IEEE Engineering in Medicine and Biology
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Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion

2020

Recognition systems using multimodal biometrics attracts attention because they improve recognition efficiency and high-security level compared to the unimodal biometrics system. In this study, the authors present a secure multimodal biometrics recognition system based on the deep learning method that uses convolutional neural networks (CNNs). The authors propose two multimodal architectures using the finger knuckle print (FKP) and the finger vein (FV) biometrics with different levels of fusion: the features level fusion and scores level fusion. The features extraction for FKP and FV are performed using transfer learning CNN architectures: AlexNet, VGG16, and ResNet50. The key step aims to …

Image fusionBiometricsbusiness.industryComputer scienceDeep learningFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONWord error rate020206 networking & telecommunicationsPattern recognition02 engineering and technologyConvolutional neural networkSupport vector machineSignal ProcessingSoftmax function0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligenceElectrical and Electronic EngineeringbusinessSoftwareIET Image Processing
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Model Free Control for muscular force by Functional Electrical Stimulation using pulse width modulation

2016

International audience; Functional Electrical Stimulation (FES) is a useful technique for restoring functions for patients with neurological disorders. Muscle activities can be artificially driven through delivery of electrical pulses to skeletal muscles. Typically, muscles are activated by using constant stimulation train with a fixed parameters (amplitude, frequency and pulse width). In addition, the FES systems do not adapt the parameters stimulation to obtain a desired force response during the rehabilitation session. The purpose of this study is to investigate a real-time FES system for adapting automatically the stimulation parameters (stimulation pulse width) to track a desired force…

[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation0209 industrial biotechnologyPredictsMaterials scienceMathematical-ModelsStimulation02 engineering and technology03 medical and health sciences020901 industrial engineering & automation0302 clinical medicineMuscle-forceFunctional electrical stimulationMuscular force[ SDV.IB ] Life Sciences [q-bio]/BioengineeringFatigueMuscle forceFunctional Electrical Stimulationpulse width modulationbusiness.industryElectrical engineeringFrequencyModel free[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationFesAmplitudeSpinal-Cord InjuriesMuscle[SDV.IB]Life Sciences [q-bio]/Bioengineeringmodel free controlbusiness030217 neurology & neurosurgeryPulse-width modulationBiomedical engineering2016 4th International Conference on Control Engineering & Information Technology (CEIT)
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Truncation effects on muscular fatigue indexes based on M waves analysis

2012

International audience; In this paper, we investigate muscular fatigue. We propose a new fatigue index based on the continuous wavelet transform (CWT) and compare it with the standard fatigue indexes from literature. Fatigue indexes are all based on the electrical activity of muscles (electromyogram) acquired during an electrically stimulated contraction (ES). The stimulator and electromyogram system, which were presented in a previous work, allows real-time analysis. The extracted fatigue parameters are compared between each other and their sensitivity to noise is studied. The effect of truncation of M waves is then investigated, enlightening the robustness of the index obtained using CWT.

medicine.diagnostic_testElectromyographyAcousticsSpeech recognition0206 medical engineering02 engineering and technologyElectromyography020601 biomedical engineering[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics03 medical and health sciences0302 clinical medicineMuscular fatigueMuscle FatiguemedicineHumans030217 neurology & neurosurgeryContinuous wavelet transformMathematics
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EMG artifacts removal during electrical stimulation, a CWT based technique

2014

International audience; A technique of artifacts removal based on the continuous wavelet transform is presented. It uses common mother wavelets to find the temporal localization of stimulation artifacts on electromyogram (EMG) signal during an electrically evoked contraction of a muscle. This method can be used with standard stimulation pulse waveforms like monophasics or biphasics ones. It uses a histogram representation to find the best threshold to apply on the CWT domain. The algotithm is presented with Haar wavelet and then it is used with common wavelet famillies such as Daubechies or Symlets.

Discrete wavelet transformstimulation artifacts0206 medical engineering02 engineering and technologyElectromyography[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing03 medical and health sciences0302 clinical medicineWaveletHistogramwaveletmedicineSource separationWaveformComputer visionContinuous wavelet transformMathematics[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing030222 orthopedicsmedicine.diagnostic_testbusiness.industryhistogram representationPattern recognition020601 biomedical engineeringHaar waveletElectromyogram[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronicssource separationArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
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A real time electromyostimulator linked with EMG analysis device

2013

International audience; In this study, a new system composed of two modules (electromyostimulation + electromyography recording) is presented. It can analyze in real time EMG signals during electromyostimulation. In addition, we propose a new method based on wavelet decomposition to analyze changes in M-wave characteristics. It leads to introduce a new index related to muscular fatigue.

EngineeringIndex (economics)medicine.diagnostic_testbusiness.industrySpeech recognition0206 medical engineeringBiomedical EngineeringBiophysics02 engineering and technologyElectromyography020601 biomedical engineering[SPI.TRON] Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics03 medical and health sciences0302 clinical medicineWavelet decompositionMuscular fatiguemedicinebusiness030217 neurology & neurosurgery
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Model predictive control for continuous lactide ring‐opening polymerization processes

2020

International audience; Polylactic acid (PLA) is an attractive environment-friendly thermoplastic that is bio-sourced and biodegradable. PLA is industrially produced by the ring-opening polymerization of Lactide. This reaction is sensitive to drifts in the operating conditions and impurities in the raw materials that may affect the reaction rate as well as the polymer properties, which can be very costly in continuous processes. It is therefore crucial to employ a control strategy that allows recovering the nominal conditions and maintaining the desired properties and conversion level in case of drift. Three control strategies are discussed in this paper: Proportional-Integral controller (P…

Coupling0209 industrial biotechnologyMaterials scienceLoop reactoroptimisationProcess (computing)PIPID controller02 engineering and technology7. Clean energyPolylactic acidNonlinear systemModel predictive control020901 industrial engineering & automationPolynomial and rational function modelingControl and Systems EngineeringControl theoryCascade0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processing[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process EngineeringModel predictive control
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On the control of a muscular force model including muscular fatigue

2015

Electromyostimulation has been used for several decades by athletes or physiotherapists in order to create a muscular reinforcement. However, the efficiency of electromyostimulation is limited by muscular fatigue and by induced pain. Currently, the systems of electromyostimulation do not adapt the stimulation parameters automatically by taking into account physiological parameters such as muscular fatigue. To adapt the stimulation parameters to muscular responses and in order to optimize the rehabilitation sessions, a control of force using an indicator of muscular fatigue could be used. In this paper, we propose two ways to control the force by using a physiological model which includes th…

musculoskeletal diseasesPhysiological modelmedicine.medical_specialtyRehabilitationPhysical medicine and rehabilitationmedicine.medical_treatmentMuscular fatiguemedicineMuscular forcePsychology2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)
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Dynamic optimization of a continuous Lactide ring-opening polymerization process

2019

An increasing attention has been paid to the production of the polylactic acid (PLA) in recent years, owing to its properties as a biodegradable thermoplastic besides the fact that it is derived from renewable resources. PLA is industrially produced by ring opening polymerization of lactide. This reaction is sensitive to deviations in the operating conditions that highly affect the reaction rate and the polymer properties. Therefore, a process monitoring and control policy is crucial in order to restore the nominal conditions in case of drift. In this paper, a continuous PLA process is considered with three cascade reactors, two tubular and one loop reactor, that is described by partial dif…

chemistry.chemical_classificationMaterials scienceThermoplasticProcess (computing)PID controller02 engineering and technologyPolymer021001 nanoscience & nanotechnology7. Clean energyReaction ratechemistry.chemical_compound020401 chemical engineeringPolylactic acidchemistryControl theoryCascadeProcess output[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering0204 chemical engineering0210 nano-technologyComputingMilieux_MISCELLANEOUS2019 International Conference on Control, Automation and Diagnosis (ICCAD)
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Estimation of the mean crystal size and the moments of the crystal size distribution in batch crystallization processes

2016

International audience; A cascade high gain observer is designed to estimate the first four leading moments of the crystal size distribution (CSD) and the mean crystal size in batch crystallization processes. The proposed observer is based on a well-known transformation of the partial differential equation describing the CSD to a set of ordinary differential equations (the method of moments). Due to numerical difficulties resulting from the important differences in the magnitudes of the moments, a set of new variables is computed to allow a good estimation of the moments and thus the mean crystal size. In this work, only solute concentration and crystallizer temperature are used to estimate…

Model-Predictive ControlIdentification[ INFO ] Computer Science [cs]Observer (quantum physics)population balance equations02 engineering and technologyMethod of moments (statistics)high gain observer[SPI.AUTO]Engineering Sciences [physics]/Automaticlaw.inventionCrystalCrystallization processes020401 chemical engineeringFbrmControl theorylawBeam Reflectance Measurement[SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering[INFO]Computer Science [cs]L-Glutamic Acid0204 chemical engineeringCrystallizationComputingMilieux_MISCELLANEOUSMathematicsParticle-SizePartial differential equationmethod of momentsMathematical analysisShape021001 nanoscience & nanotechnologyImage-Analysiscrystal size distributionTransformation (function)CascadeOrdinary differential equation0210 nano-technologyProduct
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QUANTIFICATION OF MUSCLE FATIGUE WITHWAVELET ANALYSIS BASED ON EMG DURING MYOELECTRICAL STIMULATION

2012

6; International audience; We propose a device dedicated to real time analysis of electromyograms (EMG) under myoelectrical stimulation (ES). The muscular fatigue analysis, which is obtained by the use of a dedicated analog circuit and a processing part, is the main purpose of this study. The description of a hardware device which incorporates an electro-stimulator and an electromyogram amplifier combined to a computer is detailed. Then, we present a muscular fatigue analysis part based on wavelet decomposition in order to extract a fatigue index, which is confronted with synthetic and experimental data. We conclude that the CWT index applies well to M waves. The noise sensitivity is invest…

Electrical stimulation.Electrical stimulationWavelet[SPI.TRON] Engineering Sciences [physics]/ElectronicsFatigueElectromyogram[ SPI.TRON ] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics
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Optimal Control Techniques for Sampled-Data Control Systems with Medical Applications

2020

International audience

[MATH.MATH-OC] Mathematics [math]/Optimization and Control [math.OC][MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]ComputingMilieux_MISCELLANEOUS
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