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Enhancing Distribution System Efficiency Through Vector Space control of Power Inverters for Improved Power Factor 5

Enhancing Distribution System Efficiency Through Vector Spac...

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5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Mullo, Adrián Jaramillo, Manuel Carrion, Diego Universidad Politécnica Salesiana Electrical Engineering Department Quito Ecuador

ISBN: (纸本)9798350356236

Regarding stability and efficiency, DG, characterized by decentralized energy production on a small scale, presents unique challenges and opportunities. This study investigates the integration of dynamic loads into the test system, validating the effective operation of the implemented systems and controls while emphasizing improvements in power *** factor (PF) is a vital indicator of efficiency and is essential for optimizing electrical loads. This paper proposes utilizing space vector pulse width modulation (SVPWM) control strategies in power inverters to enhance the PF. The research implements distributed generation (DG) and dynamic reactive power compensation control to improve system conditions further. The study presents theoretical foundations, experimental results, and comparative analyses focused on PF enhancement. Regarding stability and efficiency, DG, characterized by decentralized energy production on a small scale, presents unique challenges and opportunities. This study investigates the integration of dynamic loads into the test system, validating the effective operation of the implemented systems and controls while emphasizing improvements in power factor. © 2025 IEEE.

关键词： Vector spaces

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Design of Wide Neural Network Model for controlling Tunable LED Luminaire: (Neural Network based Luminaire control) 5

Design of Wide Neural Network Model for Controlling Tunable ...

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5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Aranha, Ancy Princia George, Anna Merine Kamath, Vedavyasa Kurian, Ciji Pearl Padmashree, K.S. Manipal Institute of Technology Manipal Academy of Higher Education Department of Electrical and Electronics Engineering Manipal India Bms Institute of Technology & Management Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9798350356236

This paper explores machine learning models to design adjustable light spectra for supporting circadian entrainment using LED luminaires. The approach combines practical experimental work with sophisticated machine learning methods to enhance lighting solutions. There is a growing demand for adjustable sources to improve efficiency and reduce costs, leading to the development of multichannel LED drivers capable of operating at different brightness levels and spectra for each LED channel. The multichannel LED driving circuitry is a critical component of human-centric lighting, which aims to enhance the well-being and health of occupants. The experiment utilized a four-channel warm white and cool white combination LED luminaire under dimming and Correlated Colour Temperature (CCT) variation. Current-controllable LEDs for different CCTs and intensities were tested with the help of DMX 512 Decoder and master control. The Wide Neural Network model designed outperforms other models in performance, helping to determine the current requirement of the lighting control system to set the desired circadian entrainment conditions. © 2025 IEEE.

关键词： controllability

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A Review on Detection and Mitigation Strategies of DDoS Attack in SDN Environment using Machine Learning and Deep Learning 3

A Review on Detection and Mitigation Strategies of DDoS Atta...

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3rd international conference on Intelligent Systems, Advanced computing, and communication, ISACC 2025

作者： Boruah, Maram Smriti Sarmah, Satyajit Gauhati University Department of Information Technology Assam India

ISBN: (纸本)9798331523893

Software-Defined networking (SDN) has a unique architecture, however it is highly susceptible to Distributed Denial-Of-Service (DDoS) attacks targeting its control and data planes. This paper reviews the use of Machine Learning (ML) and Deep Learning (DL) techniques for the detection and mitigation of DDoS attacks in Software-Defined networking (SDN). The review examines research published between 2019 and 2024, highlighting various approaches, such as Kernel Principal Component Analysis (KPCA), Random Forest (RF), Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN), among others. These techniques are evaluated based on their effectiveness in detecting high-rate, low-rate, and zero-day attacks, with the focus on accuracy, false positive rates, and real-time adaptability. While several methods show promising results in experimental environments, challenges remain in terms of scalability, generalization, and dynamic adaptation to evolving attack patterns in large-scale deployments. © 2025 IEEE.

关键词： DDoS Detection Mitigation Review Software Defined networking

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Enhancing Driving Cycle Development in the Automotive Industry: The Role of Short Cycle Times in Achieving Quick Feedback Loop control 5

Enhancing Driving Cycle Development in the Automotive Indust...

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5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Subramaniam, Arunkumar Jabar, Siti Norbakyah Rahman, Salisa Binti Abdul University Malaysia Terengganu Faculty of Ocean Engineering Technology Terengganu Kuala Nerus21030 Malaysia Malaysia Malaysia

ISBN: (纸本)9798350356236

Driving cycle development is essential for analyzing fuel consumption and emissions in the automotive industry. This paper emphasizes the importance of achieving short cycle times in feedback loop control to enhance the efficiency of driving cycle development. Using the Ipoh Driving Cycle as a case study, the research demonstrates how minimizing execution time improves real-time analysis and decision-making for urban driving conditions. By converting MATLAB-based models into the Siemens Totally Integrated Automation Portal environment, the study achieves significant improvements in execution efficiency. The cycle time is reduced from 45 seconds in MATLAB to 100 milliseconds in the Siemens environment, enabling rapid feedback and system responsiveness. This research highlights the challenges of integrating MATLAB with industrial automation systems and the strategies used to optimize compatibility and reduce computational overhead. The findings underscore the critical role of short cycle times in enhancing driving cycle accuracy and responsiveness while providing a practical framework for integrating simulation tools with real-time platforms to support energy-efficient automotive development. © 2025 IEEE.

关键词： Automotive Driving Cycle Fuel Consumption Fuel Efficiency Ipoh Driving Cycle

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Collaborative Model for Developing computing Skills in Basic Education 17

Collaborative Model for Developing Computing Skills in Basic...

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17th international conference on Computer Supported Education, CSEDU 2025

作者： Scheffel, Erica J.S. Schneider, Daniel Motta, Claudia L.R. Postgraduate Program in Computer Science Universidade Federal do Rio de Janeiro Brazil Institute Tércio Pacitti of Computational Applications and Research Universidade Federal do Rio de Janeiro Brazil

ISBN: (纸本)9789897587467

Following the recent inclusion of computational skills in Brazil's basic education curriculum, this study explores A+Comp, a gamified, collaborative virtual learning environment designed to enhance computational education. Inspired by online social networks and digital games, A+Comp integrates elements like virtual currency and interactive challenges. The platform aims to boost user participation and mitigate engagement disparities using the Experiential Learning Cycle and Positive Feedback Model. By combining cognitive, conative, and executive function theories with system design, the research assesses the impact of gamification and collaboration on computational competency acquisition, contributing to the discussion on innovative, inclusive learning technologies. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Social networking (online)

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Cloud Based Automated control System Workshops and Rooms for controlling Parameters 1

Cloud Based Automated Control System Workshops and Rooms for...

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1st international conference on advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Kumar, Dinesh Kuntal, Ravinder Singh Deep, Pragya Chamoli, Anup Shekhar Singh, Pinki Mandal, Rishabh SRM Institute of Science & Technology Department of Computer Science and Engineering UP Ghaziabad India Nitte Meenakshi Institute of Technology Department of Mathematics Karnataka Bangalore India IIMT College of Engineering Department of AI & DS Greater Noida India Uttaranchal School of Computing Sciences Uttaranchal University Dehradun248001 India Accurate College of Engineering & Management Department of Computer Science and Engineering Greator Noida India Tula's Institute Department of Computer Science and Engineering UK Dehradun India

ISBN: (纸本)9798331518578

Across all industries, cloud-based automated control systems have completely changed how operational and environmental parameters are tracked and controlled. With cloud-integrated systems for real-time data collection, processing, and control, this concept presents intelligent, remote-controlled workshops and control rooms. To guarantee accurate control of crucial variables like temperature, humidity, pressure, and equipment efficiency, these systems make use of IoT devices, AI techniques, and big data analytics. Through sophisticated data perspectives, the cloud-based strategy enables predictive maintenance, improves flexibility, and lowers operating expenses. Stakeholders may make prompt, data-driven choices from anywhere with remote access to control rooms. These seminars provide practical experience with cloud-controlled settings and function as training and development centres. The system's flexibility to meet a range of industrial demands is further enhanced by its compatibility with external tools and equipment. The design, deployment, and possible uses of cloud-based control systems are covered in this paper, with an emphasis on how they might promote operational excellence, energy efficiency, and smart manufacturing. © 2025 IEEE.

关键词： Smart manufacturing

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Fuzzy -Random Forest Predictive Models for Improvement of Sugarcane Yield and Quality 5

Fuzzy -Random Forest Predictive Models for Improvement of Su...

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5th IEEE international conference on advances in Electrical, computing, communication and Sustainable Technologies, ICAECT 2025

作者： Gowri Shankar, D. Jayaparvathy, R. Sri Sivasubramaniya Nadar College of Engineering Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798350356236

India is an important agricultural country and one in which sugarcane is so important as an agricultural crop because it is used to produce sugar, ethanol and bioenergy. Cultivation of this species is a major economic contributor, most particularly in Tamil Nadu, which is very important to national output. This study examines the relationship of meteorological parameters and soil conditions on the occurrence of pests and crop performance in order to increase sugar cane yield. Using predictive modeling and data analytics, the study examines historical meteorological and agricultural data from four different regions: Erode, Tiruvallur, Villupuram and Chittoor. Significant regional differences are shown with median production and quality scores, with Erode at 80 tons per hectare and 85 quality, and Tiruvallur at the lowest 50 tons per hectare. It underscores that region specific techniques specially customized for specific environmental difficulties (e.g. pest management and irrigation) are required. Consequences include targeted recommendations for improving crop outcomes and susceptibility to variability in climate, to facilitate the development of precision farming projects for sustainable sugarcane production. © 2025 IEEE.

关键词： Insect control

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A comprehensive survey on 6G-security: physical connection and service layers

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Discover Internet of Things 2025年第1期5卷 1-30页

作者： Saeed, Mamoon M. Saeed, Rashid A. Hasan, Mohammad Kamrul Ali, Elmustafa Sayed Mazha, Tehseen Shahzad, Tariq Khan, Sunawar Hamam, Habib Sana00967 Yemen Department of Computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif21944 Saudi Arabia Department of Electronics Engineering College of Electronics Engineering Sudan University of Science and Technology Omdurman Sudan Bangi43600 Malaysia Department of Electrical and Electronic Engineering Faculty of Engineering Red Sea University Port Sudan33312 Sudan School of Computer Science National College of Business Administration and Economics Lahore54000 Pakistan Faculty of Engineering Uni de Moncton MonctonNBE1A3E9 Canada Department of Computer Engineering COMSATS University Islamabad Sahiwal Campus Sahiwal57000 Pakistan Department of Computer Science and Software Engineering International Islamic University Islamabad44000 Pakistan School of Electrical Engineering University of Johannesburg Johannesburg2006 South Africa BP 1989 Av. Grandes Ecoles Libreville Gabon Bridges for Academic Excellence-Spectrum Tunis Tunisia Department of Computer Science School Education Department Government of Punjab Layyah31200 Pakistan Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

After adopting 5G technology, businesses and academia have started working on sixth-generation wireless networking (6G) technologies. Mobile communications options are expected to expand in areas where previous generations could not do so. 6G networks are anticipated to be constructed using various diverse technologies. These encompass diverse cutting-edge advancements, such as distributed ledger systems like blockchain, visible light communications (VLC), post-quantum cryptography, edge computing, molecular communication, THz, and other advances. These advances necessitate a reassessment of previous security strategies from a security perspective. In the future, networks must adhere to stricter criteria for authentication, encryption, access control, connectivity, and detection of harmful activities. Ensuring privacy and dependability necessitates the implementation of supplementary security protocols. The essay explores the primary concerns and challenges related to the security of the 6G network. This paper describes the improvements in security in communications from 1G through 6G. This paper divides security in the sixth generation into three layers: physical, connection, and service. Each layer-by-layer discusses the standard technologies and security issues for each technology proposed in each sixth-generation security layer. All proposed solutions for each of the three layers are discussed in Sixth Generation Security. It also reviews all proposed solutions for each layer, indicating the proposed solution and its limitations. © The Author(s) 2025.

关键词： 5G mobile communication systems

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Smart Sensors and IoT in Mechanical Engineering: Enhancing Monitoring and control of Industrial Processes 1

Smart Sensors and IoT in Mechanical Engineering: Enhancing M...

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1st international conference on advances in Computer Science, Electrical, Electronics, and communication Technologies, CE2CT 2025

作者： Annavarapu, Babu J Hareesha, N.G. Kacheru, Goutham Mohammad, Ashif Chin, Jacky Ghule, Gauri KLEF Deemed to be University Department of Management Andhra Pradesh Guntur India Dayananda Sagar College of Engineering Department of Aeronautical Engineering Bengaluru India Wilmington University Department of IST United States University of Dhaka Department of Institute of Energy Bangladesh Mercu Buana University Department of Industrial Engineering West Jakarta Indonesia Department of E and TC VIIT Pune India

ISBN: (纸本)9798331518578

Unmanned aerial vehicles (UAVs) are currently regarded as among the most effective remote sensing methods for collecting data across wide regions. Along with measuring output and aiding in decision-making, they are now employed in the industrial domain as sensing equipment for proactively resolving or avoiding numerous problems. UAVs offer an economical, functional, and reliable technical system for event monitoring and data collecting. Cloud computation has proven to be an essential instrument for addressing processing needs, and the Internet of Things (IoT) transmits industrial data from platforms that monitor and manage surroundings to data processing platforms. The IoTs port connects many items to the internet in fog computation. It supports many communication standards and can function as a joint portal for various systems. Much work has gone into creating UAVs and platforms with several UAVs. This work presents a smart IoT monitoring and control platform depending on a UAV. It utilizes fog computation as an interface between IoT tiers and cloud computation activities. Its ability to seamlessly connect UAVs to industrial control platforms via IoT port platforms and process and analyze UAV shots in real-time and in a structured manner in the cloud is what makes it distinctive. The outcomes show unequivocally that the suggested structure is feasible in offering a dependable and effective UAV distant control platform to enhance product grade and minimize waste. Hence this study investigated the communication delay in several IoT ports between the various IoT levels. © 2025 IEEE.

关键词： Fog computing

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Eco-Connect: Examining Consumer Behavior and Sustainability in E-Commerce 4

Eco-Connect: Examining Consumer Behavior and Sustainability ...

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4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Sai, Koraboina Sumith Reddy, Dubba Manjunatha Pradhan, Simran Angayarkanni, S.A. Rajaram, V. Balakiruthiga, B. Department of Networking and Communication SRM Institute of Science and Technology Chennai India

ISBN: (纸本)9798331530402

This research explores the intersection of trust, perceived risk, and sustainability in shaping consumer behavior when purchasing health products online. The study examines how e-commerce platforms can better cater to the growing demand for eco-friendly health products while addressing consumer concerns related to trust and risk. The findings indicate that trust remains a major determinant in consumers' decisions to purchase health products online, with perceived risk, particularly in terms of product authenticity and online payment security, also playing a significant role. Furthermore, consumers are increasingly concerned about the sustainability of the products they buy, with eco-labels and clear information about eco-friendly products influencing purchasing decisions. The study highlights the need for e-commerce platforms to prioritize security, transparency, and ecofriendliness to attract and retain consumers. © 2025 IEEE.

关键词： Marketplaces

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