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2nd International Conference on Computer, Communication and Control, IC4 2024

作者： Kumar, R. Tharwin Sireesha, G. Sakthidhasan, K. Permila, T.R. Ramya, R. Subasini, P.T. Puducherry Technological University Department of Electrical and Electronics Engineering Puducherry India Mallareddy Engineering College for Women Department of Electrical and Electronics Engineering Hyderabad India Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering Department of Electrical and Electronics Engineering Chennai India Vels Institute of Science Technology of Advanced Studies Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Saveetha School of Engineering Department of Electronics and Communication Engineering Tamilnadu India Rajalakshmi Engineering College Faculty of Electrical Engineering Chennai India

ISBN: (纸本)9798350387933

Economically used Brushless Direct Current (BLDC) motors have been dramatically replacing conventional DC drives in a variety of submissions, plus electrical vehicles and mechanical mechanization. The interleaved Luo converter is used in the Solar Photovoltaic (PV), which leads to greater capability improvement of this converter. Supremacy at evaluated DC power is delivered to the BLDC motor under normal trial conditions. Interleaved Luo converter topology that are appropriate for BLDC motors are proposed in this study. The spider monkey optimized PI (SMO-PI) controller is applied in this paper, a well-known Proportional Integral (PI) controller is adjusted and tested on a simulated solo PV system with local load using the spider monkey method also it is utilized to uphold the firm state power at the yield of the Interleaved Luo converter and the presentation of the recommended converter is experimentally tested utilizing the SMO-based PI controller. The Mat lab/Simulink environment was used to simulate both the PV system and the method that proposed. This work also includes a comparison analysis and monitors the Interleaved Luo converters' efficiency at 91.2%. © 2024 IEEE.

关键词： Electric loads

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Wearable technology with Location Tracking, Health Monitoring, and Attendance Tracking for Employees 1

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7th International Conference on Smart Trends in Computing and Communications, SmartCom 2023

作者： Sujatha, K. Bhavani, N.P.G. Chillakuru, Prameeladevi Sarada Devi, C.H. Janaki, N. Femila Roseline, J. Ezhilarasan, D. Department of EEE/BME Dr. MGR Educational and Research Institute Chennai India Department of ECE Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India Rajalakshmi Engineering College Chennai India Meenakshi College of Engineering Chennai India Department of EEE Vels Institute of Science Technology and Advanced Studies Chennai India Department of ECE Saveetha Institute of Medical and Technical Sciences Chennai India

ISBN: (数字)9789819907694

ISBN: (纸本)9789819907687

A smart wearable is a fully integrated and networked system. It is implied by the term "wearable" that the support environment is either a person or an article of equipment, where one or more sensor and actuator nodes are located on the end user’s side and may even be integrated into clothing. Nodes’ ability to access a local server or cloud. They are equipped with motion sensors that keep an eye on your daily activities and sync them with computers and mobile devices. Health and fitness-related tracking data is included. According to the definition of "wearable," the support environment is either a person or a piece of cloth. The workers pay their employees according to attendance and set up a medical check-up facility for them based on the report produced by a wearable device. Employers can follow their employees’ whereabouts whether they are present in the office or outside without the employee’s consent by using this smart wearable device. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Personnel

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Portable and wearable self-powered systems based on emerging energy harvesting technology

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Microsystems & Nanoengineering 2021年第2期7卷 21-34页

作者： Chen Xu Yu Song Mengdi Han Haixia Zhang Academy for Advanced Interdisciplinary Studies Peking UniversityBeijingChina National Key Laboratory of Science and Technology on Micro/Nano Fabrication Institute of MicroelectronicsPeking UniversityBeijingChina Department of Biomedical Engineering College of Future TechnologyPeking UniversityBeijingChina

A self-powered system based on energy harvesting technology can be a potential candidate for solving the problem of supplying power to electronic devices. In this review, we focus on portable and wearable self-powered systems, starting with typical energy harvesting technology, and introduce portable and wearable self-powered systems with sensing functions. In addition, we demonstrate the potential of self-powered systems in actuation functions and the development of self-powered systems toward intelligent functions under the support of information processing and artificial intelligence technologies.

关键词： functions. starting harvesting

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Comparison of Machine Learning Models for Injury Prediction in Athletes

Comparison of Machine Learning Models for Injury Prediction ...

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2025 International Conference on Visual Analytics and Data Visualization, ICVADV 2025

作者： Murugan, Suganiya Kumar, S. Pradeep Kalaiarasi, G. Saritha, B. Rubini, B. Srm Institute of Science and Technology Department of Computing Technologies Tamil Nadu Chennai India Vels Institute of Science Technology and Advanced Studies Department of Eee Tamil Nadu Chennai India Vignan Foundation for Science Technology and Research Department of Acse Andhrapradesh India Erode Sengunthar Engineering College Thudupathi Erode Department of Biomedical Engineering Tamil Nadu India Vels Institute of Science Technology and Advanced Studies Department of Eee TamilNadu Chennai India

ISBN: (纸本)9798331521394

Running is a favoured exercise for millions, but it carries a risk of musculoskeletal injuries, particularly to the lower extremities. Identifying and predicting potential injuries is crucial for prevention. This study explores the use of machine learning techniques to predict injuries among runners, leveraging data on demographics, running habits, health conditions, and previous injuries. Using models like Random Forest, K-Nearest Neighbours, Decision Trees, and Logistic Regression, the study examines the relevance of various attributes and assesses the predictive power of these models. Remarkably, our model achieved an impressive accuracy of over 99%, setting a new benchmark for predictive precision in injury prevention. Visualizations provide insight into attribute interactions and their influence on injury risk, facilitating the development of targeted prevention strategies. © 2025 IEEE.

关键词： Logistic regression

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Analysis of Electroencephalographic Signals to Study the Behavior of Brain Frequencies for the Study of Academic Stress 2

Analysis of Electroencephalographic Signals to Study the Beh...

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2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023

作者： Moyeenudin, H.M. Hannah, S. Anuradha, T. Muthalagu, R. Seedha Devi, V. Jose Anand, A. Vels Institute of Science Technology and Advanced Studies Tamil Nadu Chennai600117 India Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu 6000262 India Department of Electrical and Electronics Engineering KCG College of Technology Tamil Nadu Chennai600097 India Department of Biomedical Engineering Karpaga Vinayaga College of Engineering and Technology Tamil Nadu 603308 India Department of IT Jaya Engineering College Tamil Nadu Chennai602024 India Department of ECE KCG College of Technology Tamil Nadu Chennai600 097 India

ISBN: (纸本)9798350340235

The current study perform an analysis of electroencephalographic signals to study the behavior of brain frequencies in subjects who are under academic stress generated by a cognitive task, while listening to music or being silent. Creation of a corpus of more than 10 subjects under different sound stimuli is created. Characterization of brain signals are characterized for the identification of academic stress. Protocol is designed and brain signals are collected to observe the relationship between music listening and academic stress. EEG signal classifiers are used to identify differences between different sessions. Analysis of brain frequencies are analysed obtained in the sessions for each participant. © 2023 IEEE.

关键词： Academic Stress Brain Frequencies Brainwave Patterns EEG (Electroencephalography) Stress Response

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Systematic in vitro and in vivo study on biodegradable binary Zn-0.2 at%Rare Earth alloys(Zn-RE:Sc,Y,La-Nd,Sm-Lu)

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Bioactive Materials 2023年第6期24卷 507-523页

作者： Shaokang Du Yunong Shen Yufeng Zheng Yan Cheng Xiaoxue Xu Dafu Chen Dandan Xia Academy for Advanced Interdisciplinary Studies Peking UniversityBeijing100871China School of Materials Science and Engineering Peking UniversityBeijing100871China School of Biomedical Engineering Faculty of Engineering and Information TechnologyUniversity of Technology SydneyNSW2007Australia Laboratory of Bone Tissue Engineering Beijing Laboratory of Biomedical MaterialsBeijing Research Institute of Traumatology and OrthopaedicsBeijing Jishuitan HospitalBeijing100035China Department of Dental Materials Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Research Center of Oral Biomaterials and Digital Medical Devices&Beijing Key Laboratory of Digital Stomatology&Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health&NMPA Key Laboratory for Dental MaterialsBeijing 100081China

Biomedical implants and devices for tissue engineering in clinics,mainly made of polymers and stiff metallic materials,require possibly secondary surgery or life-long *** metals for biomedical implants and devices exhibit huge potential to improve the prognosis of *** this work,we developed a new type of biodegradable binary zinc(Zn)alloys with 16 rare earth elements(REEs)including Sc,Y,La to Nd,and Sm to Lu,*** effects of REEs on the alloy microstructure,mechanical properties,corrosion behavior and in vitro and in vivo biocompatibility of Zn were systematically investigated using pure Zn as *** Zn-RE alloys generally exhibited improved mechanical properties,and biocompatibilities compared to pure Zn,especially the tensile strength and ductility of Zn-RE alloys were dramatically *** the Zn-RE alloys,different REEs presented enhancement effects at varied extent.Y,Ho and Lu were the three elements displaying greatest improvements in majority of alloys properties,while Eu,Gd and Dy exhibited least ***,the Zn-RE alloys were comparable with other Zn alloys and also exhibited superior properties to Mg-RE *** in vivo experiment using Zn-La,Zn-Ce,and Zn-Nd alloys as tibia bone implants in rabbit demonstrated the excellent tissue biocompatibility and much more obvious osseointegration than the pure Zn control *** work presented the significant potential of the developed Zn-RE binary alloys as novel degradable metal for biomedical implants and devices.

关键词： Biodegradable metals Zn-Rare Earth alloys Mechanical property Biodegradation behavior Biocompatibility

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IoT based Monitoring of Mushroom 2

IoT based Monitoring of Mushroom

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2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023

作者： Eben, J. Lysa Kaur, Chamandeep Thelly, Mathews T Parimita Vels Institute of Science Technology and Advanced Studies School of Computing Sciences Department of Computer Applications Chennai India Jazan University Department of Computer Science and Information Technology Jazan Saudi Arabia Kuriakose Elias College Department of Botany Mannanam India Sam Higginbottom University of Agriculture Technology & Sciences Agricultural Engineering Prayagraj India

ISBN: (纸本)9781665491990

Most of India's population relies on farming for their livelihood. Every year brings new advances in agricultural technology. The use of wireless sensors in contemporary agriculture is crucial. The employment of wireless sensors across a wide range of agricultural applications has a profoundly favourable effect on crop productivity and economic efficiency. The mushroom business is still relatively young and modest compared to other sectors of India's agricultural market. The white button mushroom is India's most commercially significant fungus and is a global favourite. It may be grown anywhere with a suitable climate and soil, but most of the world's supply comes from North India in the winter. For mycelia to flourish, the ideal temperature range is between 22 and 25 degrees Celsius. In contrast, the sweet spot for developing fruit bodies is between 14 and 18 degrees Celsius with high relative humidity. Equipment for maintaining a steady temperature and pasteurising the mushrooms, should be present in the rooms used for growing. The primary objective of this study is to automate the mushroom production plant and keep track of the crop room's environmental state to reduce the amount of human care required for the mushroom plant. The Internet of Things has also modernized agriculture industries, creating an environmental monitoring and regulating system that is used in the mushroom farm in this work. Using the Speak internet platform, users may monitor ecological conditions in a mushroom farm on their Android mobile, including the ambient temperature, relative humidity, carbon dioxide level, and light intensity. The Arduino prototype platform is employed as the sensors station's controller, ensuring that the plant parameters are within the user-specified range. Using a pair of low-power ESP8266 as Wi-Fi modems, the current parameter status is relayed to a distant monitoring station. The integrated Arduino uses the programming environment to write the controller's cod

关键词： Controllers

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Hybrid Link Prediction Model with Explainable AI for Online Social Networks

Hybrid Link Prediction Model with Explainable AI for Online ...

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Computing for Sustainability and Intelligent Future (COMP-SIF), International Conference on

作者： Suruchi Sabherwal Adwitiya Sinha Department of Information Science & Engineering CMR institute of Technology Bengaluru India Department of Natural and Applied Science TERI School of Advanced Studies New Delhi India

ISBN: (数字)9798331538538

ISBN: (纸本)9798331538545

Online social network systems are inherently complex due to the various types of connections that can form between any two nodes within a single network. These intricate structures enable users to engage in diverse interactions, resulting in constantly evolving behaviors. This results in cross dimensional evolution of complex networks with links forming between social entities with variable tie strength. This makes prediction of links in online networks quite significant for several higher tasks, like knowledge extraction, network learning, signed behavior analysis, etc. Though there exist several link prediction scores, however, the existing literature lacks hybrid link prediction score to compute the possible formation of strong or weak ties in a social network. In this paper, a hybrid prediction mechanism, namely GML-hybrid is proposed to estimate the possible links using network theory and machine learning. The proposed hybrid link prediction algorithm combines already existing distance metrics and extracts different thresholds across three different levels which comprise of first, second and third quantile used for dataset labelling. This proposed algorithm is applied on Ego Facebook dataset considering 15 classifiers for model building Further, the results obtained from 5 highest performing models are further analyzed using explainable AI using SHAP.

关键词： Measurement Analytical models Machine learning algorithms Social networking (online) Explainable AI Predictive models Prediction algorithms Classification algorithms Sustainable development Network theory (graphs)

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Enhanced hydrogen gas sensing performance with Ag-doped WO3 thin film

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International Journal of Hydrogen Energy 2024年 137卷 1161-1170页

作者： Verma, Amit Kumar Prakash, Chandra Yadav, Neetu Verma, Vernica Singh, Peramjeet Ojha, Sunil Kedia, Sanjay Kumar Singh, Fouran Siva Kumar, V.V. Brajpuriya, R.K. Kumar, Brijesh Dixit, Ambesh Pandey, Narendra Kumar Sensors and Materials Research Lab Department of Physics University of Lucknow U.P. 226007 India Advanced Materials and Device Laboratory Department of Physics Indian Institute of Technology Rajasthan Jodhpur342037 India Inter-University Accelerator Center Aruna Asaf Ali Marg New Delhi110 067 India University of Petroleum and Energy Studies Physics Department School of Engineering UPES Uttarakhand Dehradun248004 India

The paper reports the fabrication of a device, based on the thin film of Ag-doped WO3 nanoparticles, to enhance the hydrogen gas sensing performance. The synthesis of thin films of pristine and Ag-doped WO3 nanoparticles were carried out using the single-step hydrothermal method, followed by the spin coating deposition process. The characterization of the samples was carried out with XRD, FESEM, TEM, FTIR and UV–vis spectroscopy. The consistent pattern observed from the microstructure analysis of data from XRD, UV–vis spectrometer and FTIR validates effective incorporation of Ag into the WO₃ structure. The XRD patterns confirmed the formation of the monoclinic phase of WO3 nanoparticles. The crystallite size and the value of band gap decreased on increasing the Ag doping percentage in WO3. This reduction with Ag-doping could be attributed to the proper substitution of the W with Ag due to their similar sizes. The gas sensing performances of the fabricated sensing devices were analyzed by exposing different concentrations of hydrogen gas ranging from 12.5 ppm to 75 ppm. The device based on the thin film of Ag-doped WO3 performed much better than the device based on the thin film of pristine WO3 nanoparticles. The device with 4% Ag-doped WO3 showed the best sensor response of 98 % for 75 ppm H2 gas concentration with response and recovery time of 76 and 100 s, respectively at 100 °C. The improved response of the device with Ag doping compared to the pristine device could be attributed to the better charge transfer, more defect creation, and the ability of Ag to work as a catalyst to make reaction kinetics faster. The selectivity of the device was tested using the oxidizing and reducing gasses of NO2, H2, and NH3 at 100 °C for 75 ppm gas concentration. The recorded response of the device for NO2, H2, NH3 were 38%, 98%, and 43%, respectively. © 2024

关键词： Tungsten compounds

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Parametric Study on Vertical Void Configurations for Improving Natural Ventilation in Double-Loaded Apartments 5th

Parametric Study on Vertical Void Configurations for Improvi...

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5th International Conference on Building Energy and Environment, COBEE 2022

作者： Kumar, Nikhil Bardhan, Ronita Kubota, Tetsu Tominaga, Yoshihide Shirzadi, Mohammadreza Centre for Urban Science and Engineering Indian Institute of Technology Bombay Mumbai400076 India Behaviour and Building Performance Group Department of Architecture The Martin Centre for Architectural and Urban Studies University of Cambridge CambridgeCB2 1PX United Kingdom Graduate School of Advanced Science and Engineering Hiroshima University Higashi-Hiroshima Japan Wind and Fluid Engineering Research Center Niigata Institute of Technology Kashiwazaki Japan

ISBN: (纸本)9789811998218

Cross-ventilation is inadequate in double-loaded inexpensive flats, especially on the leeward side of the structures, widespread in tropical developing nations. Using validated CFD models, this work attempts to parametrically assess closed-vertical void designs to optimise the ventilation efficiency of a double-loaded apartment building. The aspect ratio of the void, pilotis size and fin size with varying wind directions are among the settings. The results revealed that the windward side was impacted more than the leeward side by wind direction, but the leeward side was influenced more by aspect ratio than the windward side. On the leeward side of the building, the decreased aspect ratios allowed for improved natural ventilation. The half-size fin generated an evenly distributed wind pressure difference on the windward and leeward units. These findings might help improve natural ventilation to develop sustainable design standards for including a closed-vertical void in mid-rise residential complexes in the tropics. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Aspect ratio

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