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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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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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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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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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Enhancing disaster management effectiveness: An integrated analysis of keyfactors and practical strategies through Structural Equation Modeling (SEM)and scopus data text mining

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Geohazard Mechanics 2024年第2期2卷 95-107页

作者： samuel Mores Geddam C.A.raj Kiran St Joseph's University BengaluruIndia

In the 21st century, the surge in natural and human-induced disasters necessitates robust disaster managementframeworks. This research addresses a critical gap, exploring dynamics in the successful implementation andperformance monitoring of disaster management. Focusing on eleven key elements like Vulnerability and riskAssessment, Training, Disaster Preparedness, Communication, and Community resilience, the study utilizesScopus Database for secondary data, employing Text Mining and MS-Excel for analysis and data *** SPSS (26) and IBM AMOS (20) facilitate Exploratory Factor Analysis (EFA) and Structural Equation Modeling(SEM) for model *** research raises questions about crafting a comprehensive, adaptable model, understanding the interplaybetween vulnerability assessment, training, and disaster preparedness, and integrating effective communicationand collaboration. Findings offer actionable insights for policy, practice, and community resilience against disasters. By scrutinizing each factor's role and interactions, the research lays the groundwork for a ﬂexible ***, the study aspires to cultivate more resilient communities amid the escalating threats of an unpredictable world, fostering effective navigation and thriving.

关键词： Disaster Management Structural Equation Modeling(SEM) Text Mining Scopus Data Exploratory Factor Analysis(EFA)

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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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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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Anterior glenohumeral instability:Current review with technical pearls and pitfalls of arthroscopic soft-tissue stabilization

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World Journal of Orthopedics 2021年第1期12卷 1-13页

作者： John M Apostolakos joshua Wright-Chisem Lawrence V Gulotta samuel A Taylor.joshua S Dines Department of Sports Medicine and Shoulder Surgery Hospital for Special SurgeryNew YorkNY 10021United States

The glenohumeral joint(GHJ)allows for a wide range of motion,but is also particularly vulnerable to episodes of *** GHJ instability is especially frequent among young,athletic populations during contact sporting *** first time dislocators can be managed non-operatively with a period of immobilization and rehabilitation,however certain patient populations are at higher risk for recurrent instability and may require surgical intervention for adequate *** of the optimal treatment strategy should be made on a case-by-case basis while weighing both patient specific factors and injury patterns(i.e.,bone loss).The purpose of this review is to describe the relevant anatomical stabilizers of the GHJ,risk factors for recurrent instability including bony lesions,indications for arthroscopic vs open surgical management,clinical history and physical examination techniques,imaging modalities,and pearls/pitfalls of arthroscopic soft-tissue stabilization for anterior glenohumeral instability.

关键词： Arthroscopic Soft-tissue Anterior instability Glenohumeral Functional anatomy recurrent instability

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A Tightfisted Traveler's Daytrip to Guilin

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中国周刊 2003年第6期 26-29页

作者： joshua samuel Brown

Like many of my slacker backpacker friends, I’ve long regarded Guangxi Zhuang Autonomous region’s Guilin City as a place best passed through quickly, a mere stopover from points north on the way to the way mellower,... 详细信息

关键词： that on as it A Tightfisted Traveler’s Daytrip to Guilin of for from

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The Glorious Slackers of Beijing

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中国周刊 2003年第S1期 50-51页

作者： joshua samuel Brown

Forget what you might have heard about Beijing being a gray place, its inhabitants clad in dowdy sameness and engaged only in activities dictated by the permanent revolution. The days when the fashions and activities of China’s capital were dictated by politics, when frivolity was something to be shunned and struggled against are consigned to the ash bin of history along with the cradle-to-grave security of the iron rice bowl. In today’s Beijing, every park is filled with character and characters a-plenty, and even the plainest looking neighborhood is filled with color for those who know where to look. And free to waste their time the people are, as long as they don’t get too carried away and threaten social stability. So waste time they do, continuously and gloriously.

关键词： of as on with by in The Glorious Slackers of Beijing

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