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Optimized Convolutional Neural Network for Automatic Detection of COVID-19

Computers, Materials & Continua 2022年第1期70卷 1159-1175页

作者： K.Muthumayil M.Buvana K.R.Sekar Adnen El Amraoui Issam Nouaouri Romany F.Mansour department of Information Technology PSNA College of Engineering and TechnologyDindigul624622TamilnaduIndia department of Computer Science&Engineering PSNA College of Engineering and TechnologyDindigul624622India School of Computing SASTRA Deemed UniversityThanjavur613401India Univ.Artois U.R.3926Laboratoire de Génie Informatique et d’Automatique de l’Artois(LGI2A)F-62400BéthuneFrance department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

The outbreak of COVID-19 affected global nations and is posing serious challenges to healthcare systems across the *** use X-Rays or Computed Tomography(CT)images to confirm the presence of ***,image processing techniques play an important role in diagnostic procedures and it helps the healthcare professionals during critical *** current research work introduces Multi-objective Black Widow Optimization(MBWO)-based Convolutional Neural Network i.e.,MBWOCNN technique for diagnosis and classification of *** model involves four steps such as preprocessing,feature extraction,parameter tuning,and *** the beginning,the input images undergo preprocessing followed by CNN-based feature ***,Multi-objective Black Widow Optimization(MBWO)technique is applied to fine tune the hyperparameters of ***,Extreme Learning Machine with autoencoder(ELM-AE)is applied as a classifier to confirm the presence of COVID-19 and classify the disease under different class *** proposed MBWO-CNN model was validated experimentally and the results obtained were compared with the results achieved by existing *** experimental results ensured the superior results of the ELM-AE model by attaining maximum classification performance with the accuracy of 96.43%.The effectiveness of the technique is proved through promising results and the model can be applied in diagnosis and classification of COVID-19.

关键词： COVID-19 classification CNN hyperparameter tuning black widow optimization

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Preface for Cyber‑Attack Detection and Resilient Control of Intelligent and Connected Vehicles

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Automotive Innovation 2023年第2期6卷 143-145页

作者： Hui Zhang Manjiang Hu Anh‑Tu Nguyen Yunpeng Wang Yang Shi School of Transportation Science and Engineering Beihang UniversityBeijingChina College of Mechanical and Vehicle Engineering Hunan UniversityChangshaChina Laboratoire d’automatique de Mécanique et d’Informatique Industrielles et Humaines UMR CNRS 8201UniversitéPolytechnique des Hauts-de-FranceValenciennesFrance department of Mechanical Engineering University of VictoriaVictoriaBCCanada

Intelligent and connected vehicles(ICVs),as a critical future product of the automotive industry,have developed rapidly in recent *** insertion of a cyber chain between vehicles can bring considerable benefits,including shared perception information,improved traffic efficiency,enhanced vehicle safety,optimized energy utilization,and reduced carbon emissions.

关键词： insertion Preface benefits

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Motor Imagery and Error Related Potential Induced Position Control of a Robotic Arm

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 639-650页

作者： Saugat Bhattacharyya Amit Konar D.N.Tibarewala BCI-LIFT Project Team Institut National de Recherche en Informatique et en Automatique (INRIA) IEEE Artificial Intelligence Laboratory ETCE DepartmentJadavpur University Centre for Healthcare Science and Technology Indian Institute of Engineering Science and Technology

The paper introduces an electroencephalography(EEG) driven online position control scheme for a robot arm by utilizing motor imagery to activate and error related potential(ErrP) to stop the movement of the individual links, following a fixed(pre-defined) order of link selection. The right(left)hand motor imagery is used to turn a link clockwise(counterclockwise) and foot imagery is used to move a link forward. The occurrence of ErrP here indicates that the link under motion crosses the visually fixed target position, which usually is a plane/line/point depending on the desired transition of the link across 3D planes/around 2D lines/along 2D lines respectively. The imagined task about individual link's movement is decoded by a classifier into three possible class labels: clockwise, counterclockwise and no movement in case of rotational movements and forward, backward and no movement in case of translational movements. One additional classifier is required to detect the occurrence of the ErrP signal, elicited due to visually inspired positional link error with reference to a geometrically selected target position. Wavelet coefficients and adaptive autoregressive parameters are extracted as features for motor imagery and ErrP signals respectively. Support vector machine classifiers are used to decode motor imagination and ErrP with high classification accuracy above 80%. The average time taken by the proposed scheme to decode and execute control intentions for the complete movement of three links of a robot is approximately33 seconds. The steady-state error and peak overshoot of the proposed controller are experimentally obtained as 1.1% and4.6% respectively.

关键词： Brain-computer interfacing(BCI) error related potential(Errp) motor imagery decoding position control of a robot arm

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Fault Diagnosis in Robot Manipulators Using SVM and KNN

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Intelligent Automation & Soft Computing 2023年第2期35卷 1957-1969页

作者： D.Maincer Y.Benmahamed M.Mansour Mosleh Alharthi Sherif S.M.Ghonein Laboratoire de Robotiques Parallélisme et Systèmes Embarquer Département Automatique et ControlUniversitédes Sciences et Technologie Houari BoumedieneAlgiersAlgeria Laboratoire de Recherche en Electrotechnique Ecole Nationale PolytechniqueB.P 182El-Harrach16200AlgiersAlgeria Electrical Engineering department College of EngineeringTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

In this paper,Support Vector Machine(SVM)and K-Nearest Neighbor(KNN)based methods are to be applied on fault diagnosis in a robot manipulator.A comparative study between the two classiﬁers in terms of successfully detecting and isolating the seven classes of sensor faults is considered in this *** both classiﬁers,the torque,the position and the speed of the manipulator have been employed as the input ***,it is to mention that a large database is needed and used for the training and testing *** SVM method used in this paper is based on the Gaussian kernel with the parametersγand the penalty margin parameter“C”,which were adjusted via the PSO algorithm to achieve a maximum accuracy *** were carried out on the model of a Selective Compliance Assembly Robot Arm(SCARA)robot manipulator,and the results showed that the Particle Swarm Optimization(PSO)increased the per-formance of the SVM algorithm with the 96.95%accuracy while the KNN algo-rithm achieved a correlation up to 94.62%.These results showed that the SVM algorithm with PSO was more precise than the KNN algorithm when was used in fault diagnosis on a robot manipulator.

关键词： Support Vector Machine(SVM) Particle Swarm Optimization(PSO) K-Nearest Neighbor(KNN) fault diagnosis manipulator robot(SCARA)

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Variable range hopping conduction in n-CdSe samples at very low temperature

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Journal of Semiconductors 2015年第12期36卷 14-17页

作者： M Errai A El Kaaouachi H El Idrissi Physics department Ibn Zohr University Faculty of Sciences Laboratoire Electronique électrotechnique Automatique et Traitement de l'Information Département Génie ElectriqueFaculté des Sciences et Techniques de Mohammedia Université Hassan Ⅱ Mohammedia Casablanca

We reanalyzed experimental data already published in Friedman J R, Zhang Y, Dai P, et al. Phys Rev B, 1996, 53（15）： 9528. Variable range hopping （VRH） conduction in the insulating three-dimensional n-CdSe samples has been studied over the entire temperature range from 0.03 to 1 K. In the absence of a magnetic field, the low temperature conductivity a of the three samples （A, B and C） obeys the Mott VRH conduction with an appropriate temperature dependence in the prefactor （a = σ0 exp [- （T0/T）]^p with p ≈ 0.25）. This behavior can be explained by a VRH model where the transport occurs by hopping between localized states in the vicinity of the Fermi level, EF, without creation of the Coulomb gap （CG）. On the contrary, no Efros-Shklovskii VRH is observed, suggesting that the density is constant in the vicinity of the EF.

关键词： n-CdSe samples low temperature variable range hopping density of state

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An octree-based proxy for collision detection in large-scale particle systems

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Science China(Information Sciences) 2013年第1期56卷 55-64页

作者： FAN WenShan WANG Bin PAUL Jean-Claude SUN JiaGuang School of Software Tsinghua University Beijing Aerospace Control Center department of Computer Science and Technology Tsinghua University Key Laboratory for Information System Security Ministry of Education of China Tsinghua National Laboratory for Information Science and Technology Institut National de Recherche en Informatique et en automatique(INRIA)

Particle systems are important building block for simulating vivid and detail-rich effects in virtual *** of the most difficult aspects of particle systems has been detecting collisions between particles and mesh *** to the huge computation,a variety of proxy-based approaches have been proposed recently to perform visually correct ***,all either limit the complexity of the scene,fail to guarantee non-penetration,or are too slow for real-time use with many *** this paper,we propose a new octree-based proxy for colliding particles with meshes on the *** approach works by subdividing the scene mesh with an octree in which each leaf node associates with a representative normal corresponding to the normals of the triangles that intersect the *** present a view-visible method,which is suitable for both closed and non-closed models,to label the empty leaf nodes adjacent to nonempty ones with appropriate back/front property,allowing particles to collide with both sides of the scene *** show how collisions can be performed robustly on this proxy structure in place of the original mesh,and describe an extension that allows for fast traversal of the octree structure on the *** experiments show that the proposed method is fast enough for real-time performance with millions of particles interacting with complex scenes.

关键词： particle systems collision detection octree-based proxy GPU

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Design of a Fixed-Order Robust Controller to Damp Inter-Area Oscillations in Power Systems

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Journal of Power and Energy Engineering 2016年第3期4卷 61-70页

作者： Abdlmnam Abdlrahem Parimal Saraf Karthikeyan Balasubramaniam Ramtain Hadidi Alireza Karimi Elham Makram department of Electrical and Computer Engineering Clemson University Clemson USA Laboratoired'automatique Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne Switzerland

This paper presents the design of a robust fixed-order H∞ controller to damp out the inter-area oscillations and to enhance the stability of the power system. The proposed H∞ approach is based on shaping the open-loop transfer function in the Nyquist diagram through minimizing the quadratic error between the actual and the desired open loop transfer functions in the frequency domain under linear constraints that guarantee robustness and stability. The proposed approach is robust with respect to multi-model uncertainty closed-loop sensitivity functions in the Nyquist diagram through the constraints on their infinity norm. The H∞ constraints are linearized with the help of a desired open-loop transfer function. The controller is designed using the convex optimization techniques in which the difference between the open-loop transfer function and the desired one is minimized. The two-area four-machine test system is selected to evaluate the performance of the designed controller under different load conditions as well as different levels of wind penetrations.

关键词： H∞ Multi-Machine Power System Nyquist Diagram Robust Control Wind Penetrations SVC

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A Lattice Boltzmann Model to Study Sedimentation Phenomena in Irrigation Canals

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Communications in Computational Physics 2013年第3期13卷 880-899页

作者： Olivier Marcou Bastien Chopard Samira El Yacoubi Boussad Hamroun Laurent Lefevre Eduardo Mendes Institut de Modelisation et Analyse en Geo-Environnement et Sante Universite de Perpignan Via DomitiaPerpignanFrance Computer Science department University of GenevaSwitzerland Laboratoire d’automatique et de Genie des Procedes Universite Claude BernardLyonFrance Laboratoire de Conception et Integration des Systemes Grenoble INPValenceFrance

Fresh water is one of the most significant resources for human activities and survival,and irrigation is among the most important uses of *** sustainibility and performance of irrigation canals can be greatly affected by sediment transport and *** our previous works,we proposed a Lattice Boltzmann model for simulating a free surface flow in an irrigation canal,as an alternative to more traditional models mainly based on shallow water *** we introduce the sedimentation phenomenon into our model by adding a new algorithm,based on the earlier work by ***,*** and ***[9,11,12,27].Transport,erosion,deposition and toppling of sediments are taken into account and enable the global sedimentation algorithm to simulate different transport modes such as bed load and suspended *** the present work,we study both the behaviour of a sediment deposit located at an underflow submerged gate(depending on the gate opening and the flow discharge)and the influence of the presence of such a deposit on the *** numerical and experimental validations have been *** experiments were realized on the micro-canal of the LCIS laboratory at Valence,*** comparisons between simulations and experiments give good qualitative agreement.

关键词： Lattice Boltzmann method irrigation canals modeling sedimentation

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Direct Adaptive Fuzzy Based Backstepping Control of Semi Strict Feedback Nonlinear Systems

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Computer Technology and Application 2011年第11期2卷 884-892页

作者： Raoudha Ben Khaled Chaouki Mnasri Moncef Gasmi department of Electrical Engineering ISI Ariana Tunisia department of Electronics Engineering ISSAT Mateur Tunisia department of Physics and Instrumentation INSA T Tunis Tunisia Unit~ de Recherche en automatique et Informatique Industrielle （URAII） INSAT Universite de Carthage Tunsia

In this paper, a direct adaptive fuzzy tracking control is proposed for a class of uncertain single-input single-output nonlinear semi-strict feedback systems. Based on Takagi-Sugeno type fuzzy systems, a direct adaptive fuzzy tracking controller is developed by using the backstepping approach. The main advantage of the developed method is that for an n-th order system, only one parameter is needed to be adjusted online. It is proven that, under the appropriate assumptions, the developed scheme can achieve that the output system converges to a small neighborhood of the reference signal and all the signals in the closed-loop system remain bounded. The efficacy of the proposed algorithm is investigated by an illustrative simulation example of one link robot.

关键词：严格反馈非线性系统 Backstepping 跟踪控制器模糊系统自适应 backstepping方法参考信号反馈系统

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A decision aid for the port placement problem in robot-assisted hysterectomy

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Laparoscopic, Endoscopic and Robotic Surgery 2023年第2期6卷 43-56页

作者： Mohammad R.Maddah Jean-Marc Classe Isabelle Jaffre Keith A.Watson Katherine S.Lin Damien Chablat Cedric Dumas Caroline G.L.Cao department of Biomedical Industrialand Human Factors EngineeringWright State University3640 Colonel Glenn HwyDaytonOHUSA department of automatique Productique et InformatiqueIMT Atlantique4 Rue Alfred KastlerNantesFrance Laboratoire des Sciences Du Numerique de Nantes(LS2N) 2 Chemin de La Houssini?ereNantesFrance Centre Rene Gauducheau ICO Institut de Cancerologie de L'Ouest BD Professeur Jacques MonodSaint-HerblainFrance Brethen Center for Surgical Advancement in Robotics and Minimally Invasive Surgery Miami Valley HospitalOne Wyoming StreetDaytonOHUSA department of Computer Science IMT AtlantiqueTechnopole Brest-IroiseBrestFrance Laboratoire des Sciences et Techniques de L'information de La Communication et de La Connaissance(Lab-STICC) Technopole Brest-IroiseBrestFrance Future Industries Institute STEMUniversity of South AustraliaMawson Lakes BlvdMawson LakesAustralia

Objective:In robot-assisted minimally invasive surgery,proper port positioning ensures that surgical tools have adequate access to the surgical site and avoids mid-surgery collisions of robotic *** date,several guidelines have been proposed for more accurate port ***,challenges remain due to variations in patient morphology,anatomy,and,in particular,organ displacement due to insuf-flation in certain laparoscopic *** objective of this study was to design and develop a de-cision aid for optimal port placement in robot-assisted hysterectomy that accounts for patient variability and organ displacement due to ***:Three components were constructed:a robot model,a patient-specific model,and an opti-mization *** three components were integrated,and the system was verified using four different patients who underwent robotic *** verified,two expert surgeons were asked to evaluate the decision aid for face and construct validity.A usability test was conducted using a torso phantom with target organs located in three different *** expert surgeons performed a simulated hysterectomy task with and without the decision aid to evaluate performance and ***:The optimization algorithm was sensitive to individual differences in anatomy in the four *** surgeons successfully established face and construct *** test results showed a 28%-40% reduction in time to task completion with the optimized ports compared to expert-determined port locations without using the decision ***:The decision aid,based on an individualized patient-specific model,robot model,and optimization algorithm,was shown to be effective at addressing the challenges of displaced organs due to insufflation in robot-assisted *** face and construct validity of the decision aid was established by expert surgeons,while efficiency gains in task performance were demonstrated experim

关键词： Optimization Planning tool Patient model Robotic hysterectomy

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