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3rd International Conference on Electrical, computer and Communication engineering, ECCE 2023

作者： Alam, Mohammad Khurshed Bin Sulaiman, Mohd Herwan Sayem, Md. Shaoran Imtiaz, Shahriar Ringku, Md Mahfuzer Akter Khan, Rahat Faculty of Electrical & Electronics Engineering Technology Pahang Pekan26600 Malaysia American International University Faculty of Electrical & Electronics Engineering Dhaka Bangladesh North South University Faculty of Computer Science Dhaka1229 Bangladesh Faculty of Electrical & Electronics Engineering American International University-Bangladesh Dhaka Bangladesh Minnesota State University Faculty of Electrical Engineering MankatoMN56001 United States

ISBN: (纸本)9798350345360

The optimal power flow (OPF) the most crucial instrument for power facility design and performance is analysis, load scheduling, and cost-effective dispatch. To determine the evidence of a steady state for a power system network, an optimal power flow analysis is required. This study introduces a novel optimization method called Superiority of Feasible Solutions-Moth Flame Optimization (SH-MFO) to answer the optimal power flow problem. As part of the MATLAB development, SH-MFO is implemented on the IEEE-30 bus standard experiment structure network. When compared to the reliable outcomes produced by other algorithms, the current study employing SH-MFO estimates a Generation and Emission Costs 48.6827 /h for minimizing the different fuels, which ultimately proves to be the best value. Analyze the poorest options suggested by the comparison algorithm, it saves money by 0.9873 % per hour. Based on simulation results, the SH-MFO method provides an improved and effective optimization algorithm for optimal power flow problems. © 2023 IEEE.

关键词： Energy efficiency

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An Intelligent Gardening Advisor System Empowered by Wireless Sensor Networks and Cloud Computing 2

An Intelligent Gardening Advisor System Empowered by Wireles...

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2nd IEEE International Conference on Device Intelligence, Computing and Communication Technologies, DICCT 2024

作者： Vimal, S.P. Srividhya, V. Kumar, G. Hussain, Mohammed Jubair Meera Rajmohan, M. Sujatha, S. Sri Ramakrishna Engineering College Department of Electronics and Communication Engineering Tamil Nadu Coimbatore India Meenakshi College of Engineering Department of Electrical and Electronics Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology Kattankulathur Faculty of Management Studies Tamil Nadu Chennai India University of Technology and Applied Sciences- Al Mussanah Department of Engineering Oman Hindustan Institute of Technology and Science Department of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350372847

The future development of gardening consulting services will be facilitated by the combination of wireless sensor networks (WSN) and Cloud Computing, representing a state-of-the-art technological advancement. The technique utilizes wireless sensors deployed in gardens to collect real-time data on the temperature of the soil, moisture, and sunlight. This data is then sent to a cloud-based framework for analysis and storage. The data may be accessed from any location with a connection to the internet. The system processes and analyzes the data, enabling an advanced gardening chatbot to provide personalized advice using the huge computational capabilities of the cloud. The user is provided with timely guidance tailored to the unique conditions of their garden, facilitating optimal plant maintenance, efficient pest control, and conformance to seasonal patterns. The integration of WSN with the cloud's computing capabilities enhances the adaptability of the system, allowing it to evolve in response to changing environmental dynamics. This novel approach transforms traditional gardening guidance into a data-centric and contextually aware encounter, facilitating the emergence of an era characterized by intelligent horticulture. © 2024 IEEE.

关键词： Horticulture

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Acute effects of orofacial, neck, and shoulder relaxation exercises and chewing on soleus H-reflex and motor unit discharge patterns

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Journal of Neurophysiology 2025年第6期133卷 1886-1901页

作者： Magdič, Marša Holobar, Aleš Kramberger, Matej Vogrin, Matjaž Murks, Nina Fekonja, Anita Kalc, Miloš Faculty of Medicine University of Maribor Maribor Slovenia Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia Department of Orthopaedics University Medical Centre Maribor Maribor Slovenia Department of Orthodontic Community Health Centre Maribor Maribor Slovenia Institute for Kinesiology Research Science and Research Centre of Koper Koper Slovenia

The interconnected nature of orofacial, neck musculature, and the neural system suggests that localized activities, such as teeth clenching, can influence remote spinal excitability. Although stretching exercises are known to have both local and remote effects, the specific impact of orofacial muscle stretching remains underexplored. This study investigates the effects of two interventions: 25 guided orofacial and neck stretching and mobility exercises (exercises), and chewing six chewing gums for six minutes (chewing), on the soleus H-reflex and D1 presynaptic inhibition. Ten volunteers (mean age: 28.75 ± 9 yr) participated, with H-reflex measurements collected using high-density electromyography (HDsEMG) before and after each intervention. Latency (H_LAT), duration (H_DUR), peak-to-peak (H_P2P, D1_P2P), and positive peak (H_POS) amplitudes were extracted from unconditioned and conditioned H-reflexes. The ratio (D1_P2P/H_P2P) between conditioned (D1_P2P) and unconditioned (H_P2P) H-reflex was calculated to study the D1 presynaptic inhibition mechanisms. In addition, 8,400 firings from 376 distinct motor units (MUs), categorized by firing threshold were analyzed for latency, firing ratio, and inhibition probability (D1_PROB). H_P2P, H_POS decreased and H_DUR was significantly increased after the exercise intervention, whereas the chewing intervention had no effect on these parameters. The D1_P2P/H_P2P ratio and D1_PROB remained unchanged, suggesting that the observed drop in H_P2P is not mediated by presynaptic inhibition mechanisms. Single MU analysis confirmed the H-reflex findings. The results of this study suggest that stretching and mobility exercises targeting the neck and orofacial region can reduce neuromuscular excitability, offering potential for nonpharmacological management of conditions

关键词： high-density electromyography (HDsEMG) mobility exercises remote effect stretching teeth clenching

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Working on the Structural Components of Evolutionary Approaches 16th

Working on the Structural Components of Evolutionary Approac...

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16th International Joint Conference on Computational Intelligence, IJCCI 2024

作者： Tzanetos, Alexandros Kůdela, Jakub Jönköping University Gjuterigatan 5 Jönköping553 18 Sweden Institute of Automation and Computer Science Faculty of Mechanical Engineering Brno University of Technology Czech Republic

ISBN: (纸本)9789897587214

Several researchers have turned their attention to the structural components of Evolutionary Computation and Swarm Intelligence-oriented approaches. This direction offers various opportunities, such as developing automatic design and configuration frameworks and integrating operators and mechanisms addressing known limitations. This work lists recent operators and discusses promising mechanisms found in existing natureinspired approaches. It also discusses how these algorithmic components can be integrated into modular frameworks and how they can be assessed and benchmarked. The work aims to emphasize the importance of the research direction about nature-inspired mechanisms and operators in the Evolutionary Computation field. © 2024 by SCITEPRESS – science and technology Publications, Lda.

关键词： Swarm intelligence

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ANN-Based Modeling and Control of a Pick and Place Manipulator 1

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8th International Congress on Information and Communication technology, ICICT 2023

作者： Mostafa, Mohamed Essam Mostafa, Aya Essam Ammar, Hossam Hassan Shalaby, Raafat School of Engineering and Applied Science NU Giza Egypt School of Information Technology and Computer Science NU Giza Egypt SESC Center School of EAS NU Giza Egypt Faculty of Electronic Engineering Menofia University Menouf Egypt

ISBN: (数字)9789819930913

ISBN: (纸本)9789819930906

Pick-and-place robots are used in the manufacturing industry. This paper will focus on one of the most used functionalities in the industry. In addition, it will focus on this functionality and how to achieve more precision with the least cost. The robot is used for packaging, picking, placing factory jobs, and inspection. This paper is focusing on the design of the linear pick-and-place robot. The target of this paper is to tackle the design, construction, control, and analysis of the linear pick-and-place robot. The main target of this paper is to find the best design and the most cost-effective way to develop it. It will be done by comparing several delta robots designs to find which one will be the most economical. It will be done via a survey. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Cost effectiveness

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Design of Ultra-Wideband Antipodal Vivaldi Antenna with Improving Impedance Matching using Elliptical Stub for GPR Applications 13

Design of Ultra-Wideband Antipodal Vivaldi Antenna with Impr...

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13th International Electrical engineering Congress, iEECON 2025

作者： Sangpet, Patchadaporn Chanwattanapong, Wanchalerm Sangmook, Chayapol Mahatthanajatuphat, Chatree Jangjing, Thinnawat Chudpooti, Nonchanutt Rakluea, Paitoon Wongsin, Norakamon Thanyaburi Pathum Thani 12110 Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering 1518 Pracharat 1 Rd.Wongsawang Bangsue Bangkok10800 Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Industrial Physics and Medical Instrumentation 1518 Pracharat 1 Rd.Wongsawang Bangsue Bangkok10800 Thailand

ISBN: (纸本)9798331543952

This paper presents the design of an Antipodal Vivaldi Antenna (AVA) including open elliptical stubs on either side to improve impedance matching at lower frequencies. The stubs further serve as reflectors at 300 MHz, significantly enhancing the antenna gain across the specified frequency ranges. The Antipodal Vivaldi Antenna, measuring 552 × 700 × 1.6 mm3, is analyzed and evaluated to determine its characteristics. It possesses ultra-wideband characteristics, providing it suitable for signal exploration systems, and operates effectively throughout the 298-3000 MHz frequency range, which corresponds to the frequencies utilized by GPR technology. The suggested antenna demonstrates directed radiation patterns at all operational frequencies, achieving an average gain of 8.5 dBi. © 2025 IEEE.

关键词： Antenna reflectors

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Nano Functionalized Antenna Based IoT Enabled Devices for Health Care Applications 1

Nano Functionalized Antenna Based IoT Enabled Devices for He...

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1st International Conference on Electronics, Communication and Signal Processing, ICECSP 2024

作者： Janish Blessy, J. Jaison, B. Daniel Naresh Kumar, M. Velammal Institute of Technology Department of Electronics and Communication Engineering Tamil Nadu Surappet India R.M.K. Engineering College Department of Computer Science Engineering Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of ECE Tamil Nadu Chennai India

ISBN: (纸本)9798350364590

Continuous glucose monitoring (CGM) is crucial in diabetes management, necessitating the development of advanced sensing technologies. This study proposes a novel approach utilizing nano functionalized antenna-based IoT-enabled devices for CGM applications. The proposed method harnesses the unique properties of graphene, including high electrical conductivity, large surface area, and biocompatibility, to enhance glucose sensing capabilities. Evaluation of graphene-based materials involves assessing their electrical conductivity, surface area, and biocompatibility using techniques such as four-point probe measurements, BET analysis, and biocompatibility assays. A comparison with existing CGM models highlights the advantages of the proposed method, including high sensitivity, biocompatibility, miniaturization, and integration with IoT platforms. Numerical ratings on various parameters provide a quantitative assessment of the proposed method's performance relative to existing models. Overall, the proposed nano functionalized antenna-based IoT-enabled devices offer a promising solution for accurate and reliable CGM, with potential implications for improving diabetes management and patient outcomes. © 2024 IEEE.

关键词： Glucose sensors

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Optimizing Security Protocols for IoT in Healthcare to Ensure Privacy in Smart Patient Monitoring Systems

Optimizing Security Protocols for IoT in Healthcare to Ensur...

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2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Karthiyayini, J. Bhargavi, Y. Krishna Lakhanpal, Sorabh Sharma, Amit Kumar Saeed, Ali Kumari, E.N. Vijaya New Horizon College of Engineering Department of Information Science Engineering Bangalore India Griet Department of Cse Bachupally Telangana Hyderabad India Lovely Professional University Phagwara India Galgotias university Department of Electrical Electronics & Communication Engineering Uttar Pradesh Gerater Noida203201 India College of Medical Technology The Islamic University Radiology Techniques Department Najaf Iraq Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India

ISBN: (纸本)9798331527495

The Internet of Things (IoT) might improve healthcare. Smart patient tracking systems may benefit. There are many networked gadgets, creating new security risks. Privacy and accessibility of patient data require strong security measures. This paper addresses this requirement by proposing a comprehensive hospital IoT security approach for patient-tracking smart devices. Our solution's stringent methodology uses contemporary encryption, blockchain, and machine learning-based anomalous detection. This combination aims to provide a full security system for all assaults. Healthcare IoT is complicated and ever-changing;hence, this is essential. The introduction emphasizes the need for patient data security in smart tracking systems to set the stage for constructing and evaluating the recommended security design. The study's security design outperforms current techniques in several key aspects. The recommended approach outperforms Triple DES (88%), RSA (85%), AES (90%), and SHA-256 (88%), with a security level of 95%. This new approach computes in 4 milliseconds, much faster than Triple DES (7 milliseconds), RSA (5 milliseconds), AES (6 milliseconds), and SHA-256 (8 milliseconds). These data demonstrate that the proposed security architecture is superior and can secure hospital IoT. In the ever-changing world of healthcare IoT, the recommended response protects patient data safety and accuracy in smart patient monitoring systems. © 2025 IEEE.

关键词： Sensitive data

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Comparative study of IoT-and AI-based computing disease detection approaches

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Data science and Management 2025年第1期8卷 94-106页

作者： Wasiur Rhmann Jalaluddin Khan Ghufran Ahmad Khan Zubair Ashraf Babita Pandey Mohammad Ahmar Khan Ashraf Ali Amaan Ishrat Abdulrahman Abdullah Alghamdi Bilal Ahamad Mohammad Khaja Shaik Department of Computer Application Lovely Professional UniversityPhagwaraPunjab144411India Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationGunturAndhra Pradesh522502India School of Computing Science and Engineering VIT Bhopal UniversityKothrikalanSehore466114India Babasaheb Bhimrao Ambedkar University Lucknow226025India College of Commerce and Business Administration Dhofar UniversitySalalah211Oman Faculty of Computer Studies Arab Open University18211Bahrain Department of Computer Application Shri Ramswaroop Memorial UniversityLucknow225003India College of Computing and Information Technology Shaqra UniversityShaqra11961Saudi Arabia

The emergence of different computing methods such as cloud-,fog-,and edge-based Internet of Things(IoT)systems has provided the opportunity to develop intelligent systems for disease *** to other machine learning models,deep learning models have gained more attention from the research community,as they have shown better results with a large volume of data compared to shallow ***,no comprehensive survey has been conducted on integrated IoT-and computing-based systems that deploy deep learning for disease *** study evaluated different machine learning and deep learning algorithms and their hybrid and optimized algorithms for IoT-based disease detection,using the most recent papers on IoT-based disease detection systems that include computing approaches,such as cloud,edge,and *** analysis focused on an IoT deep learning architecture suitable for disease *** also recognizes the different factors that require the attention of researchers to develop better IoT disease detection *** study can be helpful to researchers interested in developing better IoT-based disease detection and prediction systems based on deep learning using hybrid algorithms.

关键词： Deep learning Internet of Things(IoT) Cloud computing Fog computing Edge computing

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Fuzzy Decision-Making on Strategies for Maximizing the Utility of Electric Vehicles 3

Fuzzy Decision-Making on Strategies for Maximizing the Utili...

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3rd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2024

作者： Imran, Shaik Moinuddin Rameshan, N. Anand, M. Clement Joe Martin, Nivetha Tiwari, Mohit Mohan, Varun Sri Venkateswara Institute of Technology Electronics & Communication Engineering Andhra Pradesh Anantapur515001 India Srm Institute of Science and Technology Faculty of Engineering & Technology Department of Mathematics Vadapalani Campus Chennai600026 India Department of Mathematics Karnataka Bengaluru560052 India Department of Mathematics Tamil Nadu Karumathur625514 India Bharat Vidyapeeth's College of Engineering Department of Computer Science and Engineering Delhi110063 India Sharda University Department of Mathematics Greater Noida201310 India

ISBN: (纸本)9798350387193

Environmental sustainability is one of the sustainable development goals and the invention of electric vehicles marks the beginning of alternatives to fuel-based vehicles. Electric vehicles have penetrated the global market to reduce carbon emissions and create a carbon-neutral community. Though these vehicles are environmentally friendly a large population of people in developing nations are still hesitant to purchase these vehicles as they are expensive. This research work proposes strategies for maximizing the utility of E-vehicles based on the obstructing factors using the multi-criteria decision-making method of the Fuzzy Base criterion method (FBCM). The strategies proposed in this paper are ranked based on the score values obtained using representations by trapezoidal fuzzy numbers. The consistency of the results is compared with other decision-making methods and the results obtained using FBCM were found to be more optimal. In this work, the special focus is made concerning developing nations. This paper also presents the extensive role of multi-criteria decision-making methods in designing optimal solutions to the problems of different dimensions associated with electric vehicles. © 2024 IEEE.

关键词： Sustainable development goals

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