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Design of Human Adaptive Mechatronics Controller for Upper Limb Motion Intention Prediction

Computers, Materials & Continua 2022年第4期71卷 1171-1188页

作者： R.joshua samuel raj J.Prince Antony Joel Salem Alelyani Mohammed Saleh Alsaqer C.Anand Deva Durai Department of Information Science&Engineering CMR Institute of TechnologyBengaluruIndia Department of Mechatronics Engineering Rajas Engineering CollegeTirunelveliIndia Center for Artificial Intelligence King Khalid UniversityAbhaKingdom of Saudi Arabia College of Computer Science King Khalid UniversityAbhaKingdom of Saudi Arabia

Human Adaptive Mechatronics(HAM)includes human and computer system in a closed *** person with disabilities,normally carry out their daily routines with some assistance to move their *** the short fall of human care takers,mechatronics devices are used with the likes of exoskeleton and exosuits to assist *** rehabilitation and occupational therapy equipments utilize the electromyography(EMG)signals to measure the muscle activity *** paper focuses on optimizing the HAM model in prediction of intended motion of upper limb with high accuracy and to increase the response time of the *** characteristics extraction from EMG signal and prediction of optimal controller parameters are *** and frequency based approach of EMG signal are considered for feature *** models used for estimating motion and muscle parameters from EMG signal for carrying out limb movement predictions are *** on the extracted features,optimal parameters are selected by Modified Lion Optimization(MLO)for controlling the HAM ***,supervised machine learning makes predictions at different points in time for individual sensing using Support Vector Neural Network(SVNN).This model is also evaluated based on optimal parameters of motion estimation and the accuracy level along with different optimization models for various upper limb *** proposed model of human adaptive controller predicts the limb movement by 96%accuracy.

关键词： Exoskeleton electromyography(emg) human adaptive mechatronics occupational therapy motion prediction machine learning

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Hybrid Bacterial Foraging Optimization with Sparse Autoencoder for Energy Systems

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Computer Systems Science & Engineering 2023年第4期45卷 701-714页

作者： Helen Josephine V L Ramchand Vedaiyan V.M.Arul Xavier Joy Winston J A.Jegatheesan D.Lakshmi joshua samuel raj Business Analytics School of Business and ManagementChrist UniversityBangalore560029India Department of Computer Science and IT School of SciencesJain Deemed to be UniversityBangalore560027India Department of Computer Science and Engineering Karunya Institute of Technology and SciencesCoimbatore641114India College of Computer Studies University of Technology Bahrain18041Bahrain Institute of Computer Science and Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesChennai602105India Department of Computer Science and Engineering Panimalar Institute of TechnologyChennai600123India Department of Information Science&Engineering CMR Institute of TechnologyBengaluru560037India

The Internet of Things(IoT)technologies has gained significant interest in the design of smart grids(SGs).The increasing amount of distributed generations,maturity of existing grid infrastructures,and demand network transformation have received maximum *** essential energy storing model mostly the electrical energy stored methods are developing as the diagnoses for its procedure was becoming further *** dynamic electrical energy stored model using Electric Vehicles(EVs)is comparatively standard because of its excellent electrical property and flexibility however the chance of damage to its battery was there in event of overcharging or deep discharging and its mass penetration deeply influences the *** paper offers a new Hybridization of Bacterial foraging optimization with Sparse Autoencoder(HBFOA-SAE)model for IoT Enabled energy *** proposed HBFOA-SAE model majorly intends to effectually estimate the state of charge(SOC)values in the IoT based energy *** accomplish this,the SAE technique was executed to proper determination of the SOC values in the energy ***,for improving the performance of the SOC estimation process,the HBFOA is *** addition,the HBFOA technique is derived by the integration of the hill climbing(HC)concepts with the BFOA to improve the overall *** ensuring better outcomes for the HBFOA-SAE model,a comprehensive set of simulations were performed and the outcomes are inspected under several *** experimental results reported the supremacy of the HBFOA-SAE model over the recent state of art approaches.

关键词： Internet of things energy systems state of charge estimation machine learning deep learning metaheuristics

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Evolutionary Algorithm Based Task Scheduling in IoT Enabled Cloud Environment

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Computers, Materials & Continua 2022年第4期71卷 1095-1109页

作者： R.joshua samuel raj M.Varalatchoumy V.L.Helen Josephine A.Jegatheesan Seifedine Kadry Maytham N.Meqdad Yunyoung Nam Department of Information Science&Engineering CMR Institute of TechnologyBengaluru560037India Department of Computer Science&Engineering Cambridge Institute of TechnologyBengaluru560036India Department of Computer Applications CMR Institute of TechnologyBengaluru560037India Department of Computer Science&Engineering Swarnandhra College of Engineering and TechnologyNarasapur534280India Department of Applied Data Science Noroff University CollegeKristiansand4612Norway Department of Computer Techniques Engineering Al-Mustaqbal University CollegeHillah51001Iraq Department of Computer Science and Engineering Soonchunhyang University31538Korea

Internet of Things (IoT) is transforming the technical setting ofconventional systems and finds applicability in smart cities, smart healthcare, smart industry, etc. In addition, the application areas relating to theIoT enabled models are resource-limited and necessitate crisp responses, lowlatencies, and high bandwidth, which are beyond their abilities. Cloud computing (CC) is treated as a resource-rich solution to the above mentionedchallenges. But the intrinsic high latency of CC makes it nonviable. The longerlatency degrades the outcome of IoT based smart systems. CC is an emergentdispersed, inexpensive computing pattern with massive assembly of heterogeneous autonomous systems. The effective use of task scheduling minimizes theenergy utilization of the cloud infrastructure and rises the income of serviceproviders by the minimization of the processing time of the user job. Withthis motivation, this paper presents an intelligent Chaotic Artificial ImmuneOptimization Algorithm for Task Scheduling (CAIOA-RS) in IoT enabledcloud environment. The proposed CAIOA-RS algorithm solves the issue ofresource allocation in the IoT enabled cloud environment. It also satisfiesthe makespan by carrying out the optimum task scheduling process with thedistinct strategies of incoming tasks. The design of CAIOA-RS techniqueincorporates the concept of chaotic maps into the conventional AIOA toenhance its performance. A series of experiments were carried out on theCloudSim platform. The simulation results demonstrate that the CAIOA-RStechnique indicates that the proposed model outperforms the original version,as well as other heuristics and metaheuristics.

关键词： Internet of things cloud computing task scheduling metaheuristics resource allocation

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Improved DHOA-Fuzzy Based Load Scheduling in IoT Cloud Environment

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Computers, Materials & Continua 2022年第5期71卷 4101-4114页

作者： R.joshua samuel raj V.Ilango Prince Thomas V.R.Uma Fahd N.Al-Wesabi Radwa Marzouk Anwer Mustafa Hilal Department of Information Science&Engineering CMR Institute of TechnologyBengaluru560037India Department of Computer Application CMR Institute of TechnologyBangalore560037India School of Computing Woldia Institute of TechnologyWoldia UniversityEthiopia Department of Commerce School of CommerceFinance and AccountancyChrist UniversityBangalore560029India Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Faculty of Computer and IT Sana’a UniversityYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

Internet of things (IoT) has been significantly raised owing to thedevelopment of broadband access network, machine learning (ML), big dataanalytics (BDA), cloud computing (CC), and so on. The development of IoTtechnologies has resulted in a massive quantity of data due to the existenceof several people linking through distinct physical components, indicatingthe status of the CC environment. In the IoT, load scheduling is realistictechnique in distinct data center to guarantee the network suitability by fallingthe computer hardware and software catastrophe and with right utilize ofresource. The ideal load balancer improves many factors of Quality of Service(QoS) like resource performance, scalability, response time, error tolerance,and efficiency. The scholar is assumed as load scheduling a vital problem inIoT environment. There are many techniques accessible to load scheduling inIoT environments. With this motivation, this paper presents an improved deerhunting optimization algorithm with Type II fuzzy logic (IDHOA-T2F) modelfor load scheduling in IoT environment. The goal of the IDHOA-T2F is todiminish the energy utilization of integrated circuit of IoT node and enhancethe load scheduling in IoT environments. The IDHOA technique is derivedby integrating the concepts of Nelder Mead (NM) with the DHOA. Theproposed model also synthesized the T2L based on fuzzy logic (FL) systemsto counterbalance the load distribution. The proposed model finds usefulto improve the efficiency of IoT system. For validating the enhanced loadscheduling performance of the IDHOA-T2F technique, a series of simulationstake place to highlight the improved performance. The experimental outcomesdemonstrate the capable outcome of the IDHOA-T2F technique over therecent techniques.

关键词： Load scheduling internet of things cloud computing metaheuristics fuzzy logic

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The function of doping nitrogen on removing fluoride with decomposing La-MOF-NH_2:Density functional theory calculation and experiments

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Journal of Environmental Sciences 2024年第1期135卷 118-129页

作者： Hongguo Zhang KuilinWan Jia Yan Qian Li Yufang Guo Lei Huang samuel raj Babu Arulmani Jian Luo School of Environmental Science and Engineering Guangzhou UniversityGuangzhou 510006China Guangzhou University-Linkoping University Research Center on Urban Sustainable Development Guangzhou UniversityGuangzhou 510006China School of Civil and Environmental Engineering Georgia Institute of TechnologyAtlantaGA 30332USA

Fluoride is an important pollutant in wastewater,and adsorption is an effective way to remove *** nitrogen plays an important role in adsorbent materials,computational models were developed to understand the changes in work function resulting from nitrogen ***-N-C-800℃,was prepared by pyrolyzing La-MOF-NH_(2)to verify the influence on the performance of removing fluoride by *** and electrochemical performance tests were performed to characterize La-N-C-800℃.Adsorption kinetics,adsorption thermodynamics,initial concentrations,pH,and ions competition were investigated using La-N-C-800℃for fluoride *** addition,density functional theory was applied to evaluate the function of *** nitrogen atoms were added,the density of states,partial density of states,populations,and different orbits of charge were calculated to discover deep *** strengthened the carbon structure and La_(2)O_(3)structure to remove *** addition,nitrogen can also act as an adsorption site in the carbon *** results provide design ideas for improving the performance of adsorbent materials by doping elements.

关键词： Capacitive deionization Fluoride La-MOFs Doping nitrogen

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Concordance between bio-impedance analysis and clinical score in fluid-status assessment of maintenance haemodialysis patients: A single centre experience

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World Journal of Nephrology 2022年第4期11卷 127-138页

作者： Kamiti Muchiri joshua K Kayima Elijah N Ogola Seth McLigeyo Sally W Ndung’u samuel K Kabinga Clinical Medicine and Therapeutics University of NairobiNairobi+254Kenya Department of Clinical Medicine and Therapeutics University of NairobiNairobi+254Kenya Department of Public Health University of NairobiNairobi+254Kenya East African Kidney Institute University of NairobiNairobi+254Kenya

BACKGROUND The burden of chronic kidney disease(CKD)is rising rapidly *** overload(FO),an independent predictor of mortality in CKD,should be accurately assessed to guide estimation of the volume of fluid to be removed during haemodialysis(HD).Clinical score(CS)and bio-impedance analysis(BIA)have been utilized in assessment of FO and BIA has demonstrated reproducibility and accuracy in determination of fluid status in patients on *** is need to determine the performance of locally-developed CSs in fluid status assessment when evaluated against *** To assess the hydration status of patients on maintenance HD using BIA and a CS,as well as to evaluate the performance of that CS against BIA in fluid status *** This was a single-centre,hospital-based cross-sectional study which recruited adult patients with CKD who were on maintenance HD at Kenyatta National *** patients were aged 18 years and above and had been on maintenance HD for at least 3 *** with pacemakers,metallic implants,or bilateral limbs amputations were *** on the patients’clinical history,physical examination,and chest radiograph findings were *** was performed on each of the study participants using the Quantum®II bio-impedance analyser manufactured by RJL Systems together with the BC 4®*** evaluating the performance of the CS,BIA was considered as the gold standard test.A 2-by-2 table of the participants’fluid status at each of the CS values obtained compared to their paired BIA results was constructed(either++,+-,--or-+for FO using the CS and BIA,respectively).The results from this 2-by-2 table were used to compute the sensitivity and specificity of the CS at the various reference points and subsequently plot a receiver operating characteristic(ROC)curve that was used to determine the best cut-off *** above and below the best CS cut-off point as determined by the ROC were classified as being positive and negative for FO

关键词： Bio-impedance analysis Clinical score Chronic kidney disease Maintenance haemodialysis Fluid overload Concordance

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Comprehensive Characterization of Natural Cissus quadrangularis Stem Fiber Composites as an Alternate for Conventional FRP Composites

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Journal of Bionic Engineering 2018年第5期15卷 914-923页

作者： Suyambulingam Indran Robinson Dhas Edwin raj Brainerd samuel Sundar Daniel Joseph Selvi Binoj Department of Mechanical Engineering Rohini College of Engineering and Technology Anjugramam - 629401 Tamil Nadu India Department of Mechanical Engineering St. Xavier's Catholic College of Engineering Nagercoil - 629003 Tamil Nadu India Department of Metallurgical and Materials Engineering Indian Institute of Technology Roorkee - 247667 Uttarakhand India Department of Mechanical Engineering Sree Vidyanikethan Engineering College (Autonomous) Tirupati - 517102 Andhra Pradesh India

Health and sustainability are the major concerns that drive researchers to find novel materials to replace artificial hazardous materials. In this investigation, the mechanical properties of Cissus quadrangularis Stem Fiber （CQSF） reinforced with unsaturated polyester composite were optimized by varying the fiber length and content. To substantiate the findings, chemical property, thermal property, microstructure, and water absorption property were analyzed. Progressive enhancement of mechanical properties was observed with increasing the fiber content and fiber length up to 30 wt.% and 40 ram. However, beyond that limit, there was a decline in the strength due to improper bonding of fiber with matrix. Optimal values of mechanical property for CQSF composite were obtained at 30 wt.% fiber content and 40 mm fiber length, which are comparable with that of common artificial fiber-reinforced polymer composites.

关键词： CQSF mechanical properties thermogravimetric anlaysis microstructure water absorption

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Heat Propagation of Eyring-Prandtl Double Reaction and Pressure Driven Hydromagnetic Viscous Heating Fluid in a Device

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Journal of Applied Mathematics and Physics 2023年第8期11卷 2429-2443页

作者： Rasaq Adekunle Kareem joshua Olugbenga Ajilore samuel Oluyinka Sogunro Department of Mathematical Science Lagos State University of Science and Technology Ikorodu Nigeria

The effect toxic industrial discharge on the environment and ecosystem cannot be overlooked. This is owing to a partial combustion of hydrocarbon arising from industrial activities and human endeavours. As such, this investigation focuses on the pressure driven flow and heat propagation of combustible Prandtl-Eyring viscous heating fluid in a horizontal device. The combustion-reaction of the viscoplastic material is considered to be inspired by two-step exothermic reaction. With negligible reactant consumption, the flowing fluid is influenced by a chemical kinetic, activation energy and electromagnetic force. An invariant transformation of the partial derivative model to an ordinary derivative model is obtained through an applied dimensionless variable. The solutions to the unsteady thermal fluid flow model are obtained via a semi-implicit difference scheme, and the outputs of the solution are displayed in plots and tables. As revealed, an enhanced heat propagation is obtained that in turn encourages the combustion process of the system. Also, increasing material dilatant simulated fluid molecular bond and viscosity. Therefore, the outcomes of this study are treasured to the thermal and chemical engineering, and the environmental management.

关键词： Viscous Heating Exothermic Reaction Two-Step Diffusion Viscoelastic Fluid

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Preformation probability and kinematics of cluster emission yielding Pb-daughters

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Chinese Physics C 2023年第7期47卷 123-132页

作者： joshua T.Majekodunmi M.Bhuyan K.Anwar N.Abdullah raj Kumar Institute of Engineering Mathematics Universiti Malaysia PerlisArau02600PerlisMalaysia Center for Theoretical and Computational Physics Department of PhysicsFaculty of ScienceUniversity of MalayaKuala Lumpur 50603Malaysia School of Physics and Materials Science Thapar Institute of Engineering and TechnologyPatialaPunjab 147004India

In the present study,the newly established preformation formula is applied for the first time to study the kinematics of the cluster emission from various radioactive nuclei,especially those that decay to the double shell closure^(208)Pb nucleus and its neighbors as *** recently proposed universal cluster preformation formula has been established based on the concepts that underscore the influence of mass and charge asymmetry(η_(A)andη_(Z)),cluster mass A_(c),and the Q-value,paving the way to quantify the energy contribution during preformation as well as during the tunneling process *** cluster-daughter interaction potential is obtained by folding the relativistic mean-field(RMF)densities with the recently developed microscopic R3Y using the NL 3^(*)and the phenomenological M3Y NN potentials to compare their *** penetration probabilities are calculated from the WKB *** the inclusion of the new preformation probability P_(0),the predicted half-lives of the R3Y and M3Y interactions are in good agreement with the experimental ***,a careful inspection reflects slight differences in the decay half-lives,which arise from their respective barrier *** P_(0)for systems with double magic shell closure^(208)Pb daughter are found to be an order of≈10^(2)higher than those with neighboring Pb daughter *** exploring the contributions of the decay energy,the recoil effect of the daughter nucleus is evaluated,in contrast to several other ***,the centrality of the Q-value in the decay process is demonstrated and redefined within the preformed cluster-decay ***,we have introduced a simple and intuitive set of criteria that governs the estimation of recoil energy in the cluster radioactivity.

关键词： relativistic mean field cluster radioactivity preformation probability decay width and half life recoil energy Q-value of the decay

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Electron–phonon physics from first principles using the EPW code

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npj Computational Materials 2023年第1期9卷 707-732页

作者： Hyungjun Lee samuel Poncé Kyle Bushick Samad Hajinazar Jon Lafuente-Bartolome joshua Leveillee Chao Lian Jae-Mo Lihm Francesco Macheda Hitoshi Mori Hari Paudyal Weng Hong Sio Sabyasachi Tiwari Marios Zacharias Xiao Zhang Nicola Bonini Emmanouil Kioupakis Elena R.Margine Feliciano Giustino Oden Institute for Computational Engineering and Sciences The University of Texas at AustinAustinTX 78712USA Department of Physics The University of Texas at AustinAustinTX 78712USA European Theoretical Spectroscopy Facility Institute of Condensed Matter and NanosciencesUniversitécatholique de LouvainBE-1348 Louvain-la-NeuveBelgium Department of Materials Science and Engineering University of MichiganAnn ArborMI 48109USA Department of Physics Applied Physics and AstronomyBinghamton University-SUNYBinghamtonNY 13902USA Department of Physics and Astronomy Seoul National UniversitySeoul 08826Korea Department of Physics King’s College LondonStrandLondon WC2R 2LSUK Istituto Italiano di Tecnologia Graphene LabsVia Morego 30I-16163 GenovaItaly Institute of Applied Physics and Materials Engineering University of MacaoMacaoSAR 999078P.R.China University of Rennes INSA RennesCNRSInstitut FOTON-UMR 6082F-35000 RennesFrance Department of Chemistry University at BuffaloBuffaloNY 14260USA

EPW is an open-source software for ab initio calculations of electron–phonon interactions and related materials *** code combines density functional perturbation theory and maximally localized Wannier functions to efficiently compute electron–phonon coupling matrix elements,and to perform predictive calculations of temperature-dependent properties and phonon-assisted quantum processes in bulk solids and low-dimensional ***,we report on significant developments in the code since 2016,namely:a transport module for the calculation of charge carrier mobility under electric and magnetic fields using the Boltzmann transport equation;a superconductivity module for calculations of phonon-mediated superconductors using the anisotropic multi-band Eliashberg theory;an optics module for calculations of phonon-assisted indirect transitions;a module for the calculation of small and large polarons without supercells;and a module for calculating band structure renormalization and temperature-dependent optical spectra using the special displacement *** each capability,we outline the methodology and implementation and provide example calculations.

关键词： phonon Electron solids

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