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International Electrical engineering Congress (iEECON)

作者： Nutyada Nantapanich Norakamon Wongsin Nipont Tangthong Chawalit Rakluea Paitoon Rakluea Wanchalerm Chanwattanapong Nonchanutt Chudpooti Chatree Mahatthanajatuphat Department of Electronics and Telecommunication Engineering Faculty of Engineering Rajamangala University of Technology Thanyaburi Thailand Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut's University of Technology North Bangkok Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut's University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This paper proposes a reduction in the dimensions of a square loop resonator via the utilization of fractal techniques. The 2 nd order NP fractal model is investigated to minimize the dimensions of the square loop resonator. The suggested fractal resonator is indirectly fed via the coupling line encircling the resonator to enhance impedance matching. The suggested fractal resonator has a frequency response of 2.936 GHz, with |S11| and |S21| evaluated at -16.17 dB and -2.09 dB, respectively. The dimensions of the suggested fractal resonator are 10.5×10.5 mm 2 , representing a reduction of roughly 56.9% compared to the square loop resonator. Consequently, the suggested fractal resonator may serve as a sensor for the measuring instrument.

关键词： Electrical engineering Couplings Instruments Impedance matching Fractals Frequency response

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Assessing Resilience of Smart Distribution Grid with Electric Vehicle Charging Stations Under Cyber-Physical Threats

Assessing Resilience of Smart Distribution Grid with Electri...

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International Conference on Control, Mechatronics and Automation (ICCMA)

作者： Feras Alasali Naser El-Naily Salah AbuGhalyon Awni Itradat Eyad Zarour Department of Electrical Engineering Faculty of Engineering The Hashemite University Zarqa Jordan College of Electrical and Electronics Technology Benghazi Libya Department of Computer Engineering Faculty of Engineering The Hashemite University Zarqa Jordan The University of Jordan Amman Jordan

ISBN: (数字)9798331517519

ISBN: (纸本)9798331517526

The global demand for electric vehicles is predicted to grow rapidly. However, charging Electric Vehicles (EVs) presents a challenge for Distribution Networks (DN) utilities. In a smart grid, effective communication between the charging stations, DN operator, and customers is crucial for arranging multiple charging sessions based on client preferences while following operational grid limits and costs. The modern and smart EV charging stations with interconnectivity requirements and online applications within the smart DN introduce potential risks of cyber-attacks and cause significant technical and financial consequences. Therefore, this study investigates the resilience of a smart distribution grid, specifically integrating EV charging stations and considering different cyber-physical threats. The impact of different cyber-attacks, namely: False Data Injection (FDI) and Man in The Middle (MITM), on low voltage microgrid models including the EV charging stations, are evaluated. The simulation uses a 24-hour load and generation profiles scenario and the results highlight the impact of cyber-physical threats on energy loss, transformer loading and voltage terms.

关键词： Microgrids Distribution networks Charging stations Transformers Electric vehicle charging Smart grids Cyberattack Resilience Load modeling Testing

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IoT-Based Magnetic Field Strength Monitoring for Industrial Applications 2

IoT-Based Magnetic Field Strength Monitoring for Industrial ...

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2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Raman, Ramakrishnan Meenakshi, R. Ramya, R. Kaul, Meenakshi Jayaprakash, S. Srinivasan, C. Maharashtra Pune India Department of Computer Science and Engineering Chennai Institute of Technology Tamil Nadu Chennai India Department of Computing Technologies School of Computing Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai India Symbiosis Law School Uttar Pradesh Noida India Maharashtra Pune India School of Electrical and Electronics Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798350305418

Monitoring and controlling magnetic field intensity is essential in industrial settings for the reliable and secure functioning of equipment, systems, and other components. The Internet of Things (IoT) is advancing technology solutions for industrial monitoring in magnetic fields. A Raspberry Pi works as the main processing unit of the system and is equipped with a Wi-Fi module for wireless communications. Connecting a Hall Effect sensor to the Raspberry Pi through the proper interfaces may take magnetic field measurements in real-time. The Hall Effect sensor sends its readings to the Raspberry Pi, which then processes and analyzes them. A connected display then shows the processed data, giving the users or operators rapid visual feedback. Wi-Fi allows uninterrupted data transfer to be sent to the cloud or other remote monitoring systems. Magnetic field strength measurements may be taken with great precision using the Hall Effect sensor. Regarding processing and analyzing data, the Raspberry Pi proves to be a flexible and adaptable platform. The data on the magnetic field may be seen in real-time and monitored on the screen. Wi-Fi allows users to connect from afar, share information, and use cloud-based features and storage. By facilitating continuous data gathering, remote access, and enhanced analytics, an IoT-based method improves monitoring capabilities. The technology can identify irregular magnetic field patterns, sending real-time alarms or messages to facilitate preventative maintenance and safety checks. The suggested approach provides a scalable and reasonably priced means of tracking magnetic fields in manufacturing settings. It improves manufacturing safety, efficiency, and productivity by providing users with real-time information and enabling data-driven decision-making. © 2023 IEEE.

关键词： Hall Effect sensor IoT Magnetic field monitoring Raspberry Pi Real-time

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Adaptation of AI-Accelerated CFD Simulations to the IPU Platform 1

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14th International Conference on Parallel Processing and Applied Mathematics, PPAM 2022

作者： Rościszewski, Pawel Krzywaniak, Adam Iserte, Sergio Rojek, Krzysztof Gepner, Pawel Graphcore Gdańsk Poland Department of Construction and Mechanical Engineering Universitat Jaume I Castellón de la Plana Spain Barcelona Supercomputing Center Barcelona Spain Institute of Computer and Information Sciences Czȩstochowa University of Technology Czȩstochowa Poland Faculty of Mechanical and Industrial Engineering Warsaw University of Technology Warszawa Poland Department of Computer Architecture Faculty of Electronics Telecommunications and Informatics Gdańsk University of Technology Narutowicza 11/12 Gdańsk80-233 Poland

ISBN: (数字)9783031304453

ISBN: (纸本)9783031304446

Intelligence Processing Units (IPU) have proven useful for many AI applications. In this paper, we evaluate them within the emerging field of AI for simulation, where traditional numerical simulations are supported by artificial intelligence approaches. We focus specifically on a program for training machine learning models supporting a computational fluid dynamics application. We use custom TensorFlow provided by the Poplar SDK to adapt the program for the IPU-POD16 platform and investigate its ease of use and performance scalability. Training a model on data from OpenFOAM simulations allows us to get accurate simulation state predictions in test time. We show how to utilize the popdist library to overcome a performance bottleneck in feeding training data to the IPU on the host side, achieving up to 34% speedup. Due to communication overheads, using data parallelism to utilize two IPUs instead of one does not improve the throughput. However, once the intra-IPU costs have been paid, the hardware capabilities for inter-IPU communication allow for good scalability. Increasing the number of IPUs from 2 to 16 improves the throughput from 560.8 to 2805.8 samples/s. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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A Hierarchal Clustered Based Proactive Caching in NDN-Based Vehicular Network

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computer Systems Science & engineering 2023年第10期47卷 1185-1208页

作者： Muhammad Yasir Khan Muhammad Adnan Jawaid Iqbal Noor ul Amin Byeong-Hee Roh Jehad Ali Department of Computer Science&Information Technology Hazara University Mansehra21120Pakistan Department of Electronics Engineering Kookmin University Seoul Korea Faculty of Computing Riphah International University Islamabad Pakistan Department of AI Convergence Network Ajou UniversitySuwon16499Korea

An Information-Centric Network(ICN)provides a promising paradigm for the upcoming internet architecture,which will struggle with steady growth in data and changes in *** ICN architectures have been designed,including Named Data Networking(NDN),which is designed around content delivery instead of *** data is the central part of the ***,NDN was developed to get rid of the dependency on IP addresses and provide content *** is one of the major research dimensions for this upcoming internet *** research has been carried out to solve the mobility issues,but it still has problems like handover delay and packet loss ratio during real-time video streaming in the case of consumer and producer *** solve this issue,an efficient hierarchical Cluster Base Proactive Caching for Device Mobility Management(CB-PC-DMM)in NDN Vehicular Networks(NDN-VN)is proposed,through which the consumer receives the contents proactively after handover during the mobility of the *** a consumer moves to the next destination,a handover interest is sent to the connected router,then the router multicasts the consumer’s desired data packet to the next hop of neighboring ***,once the handover process is completed,consumers can easily get the content to the newly connected router.A CB-PCDMM in NDN-VN is proposed that improves the packet delivery ratio and reduces the handover delay aswell as cluster ***,the intra and inter-domain handover handling procedures in CB-PC-DMM for NDN-VN have been *** the validation of our proposed scheme,MATLAB simulations are *** simulation results show that our proposed scheme reduces the handover delay and increases the consumer’s interest satisfaction *** proposed scheme is compared with the existing stateof-the-art schemes,and the total percentage of handover delays is decreased by up to 0.1632%,0.3267%,2.3437%,2.3255%,and 3.7313%at the mobil

关键词： Vehicular network named data networking caching hierarchical architecture

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An Internet of Things Assisted Autism Spectrum Disorder Prediction Using Deep Learning Principles with Medical Image Processing Assistance

An Internet of Things Assisted Autism Spectrum Disorder Pred...

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2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024

作者： Bindhu, A. Mol, A. Sruthi Ravi, T. Bodkhe, R.G. Safori, Amjad Omar Vijayalakshmi, S. Infant Jesus College of Arts and Science for Women Department of Computer Science Mulagumoodu India Sathyabama Institute of Science and Technology Department of Ece Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India R.M.K. Engineering College Department of Electronics and Communication Engineering Chennai India Zaraa University Faculty of Media Department of Journalism and Digital Media Zaraa 13110 Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331543617

Characteristics of the complex neuro-developmental condition Autism Spectrum condition (ASD) include impaired social communication and restricted, repetitive patterns of behavior. This study presents a novel approach for identifying ASD in young infants by integrating deep learning, Internet of Things (IoT) and medical image processing. The goal of this research is to create comprehensive and discriminative features by combining wearable sensor data with brain imaging and smart home environments. For the greatest results, early diagnosis is essential. The proposed method called IoT based Autism Predictive Framework (IoTAPF) has a high detection rate of 97.8% and is cross-validated against the current Learning based Autism Detection Strategy (LADS). The proposed approach aims at improving diagnostic specificity which helps in forecasting behaviors and thus pushing earlier interventions, providing better support for ASD individuals and their families. The paper discusses the design and implementation of the framework, including sensor integration, data management, and predictive modeling. Preliminary results from pilot studies are presented, demonstrating the framework's potential to improve diagnostic accuracy and support individualized care plans. The proposed solution represents a significant advancement in the application of IoT technology for early autism detection and management, paving the way for more proactive and data-driven approaches in the field of neuro-developmental disorders. © 2024 IEEE.

关键词： Diseases

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Study on Chaos Synchronization of Cascaded Microresonator Optical Frequency Combs

Study on Chaos Synchronization of Cascaded Microresonator Op...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Lemcke, Deniz Moreno, David Fujii, Shun Nakashima, Ayata Uchida, Atsushi Tanabe, Takasumi Department of Electronics and Electrical Engineering Faculty of Science and Technology Keio University Kanagawa Yokohama223-8522 Japan Nanophotonics Technology Center Universitat Politècnica de València Camino de Vera s/n Valencia46022 Spain Department of Physics Faculty of Science and Technology Keio University Kanagawa Yokohama223-8522 Japan Department of Information and Computer Sciences Saitama University Saitama Saitama City338-8570 Japan

By numerically investigating the synchronization of cascaded microresonator frequency combs, we find the optimal transmittance parameters and discover that partial injection from the leader is sufficient. We also pres... 详细信息

ISBN: (纸本)9781957171395

关键词： Microresonators

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Reconfigurable Intelligent Surface as an Access Point: Probability of Error Analysis for Discrete Phase Shifters 2nd

Reconfigurable Intelligent Surface as an Access Point: Pro...

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2nd International Conference on Computational electronics for Wireless Communications, ICCWC 2022

作者： Anjana, B.S. Kumaravelu, Vinoth Babu Jadhav, Hindavi Murugadass, Arthi Sayeed, Md. Shohel Alhadidi, Basim Department of Communication Engineering School of Electronics Engineering Vellore Institute of Technology Tamil Nadu Vellore India Sreenivasa Institute of Technology and Management Studies Andhra Pradesh Chittoor India Multimedia University Melaka Malaysia Department of Computer Information Systems Prince Abullah Bin Ghazi Faculty of Information and Communication Technology Al-Balqa Applied University Salt Jordan

ISBN: (纸本)9789811966606

A fresh line of research for future wireless networks is called reconfigurable intelligent surface (RIS)-aided communication. We developed one-bit and two-bit discrete phase shifter facilitated RIS for access point (AP) scenario in this study. In the AP scenario, RIS is considered as a source and it can transmit the information. When RIS is utilized as an AP, it can generate the phase angles needed for constellation mapping as well as compensate for channel distortion. The proximity of the radio frequency (RF) signal source to RIS minimizes the impact of fading between RIS and AP. The exact phase compensation of each RIS component is very difficult practically. Consequently, we can enhance the system’s overall performance using a discrete phase shifter. We are evaluating the effectiveness of one- and two-bit discrete phase shifters over intelligent RIS-AP and blind RIS-AP methods. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Access point (AP) Blind communication Discrete phase shifters Intelligent communication Reconfigurable intelligent surfaces (RIS)

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Optimizing PV System Placement in Kirkuk City Power System Using PSO Algorithm 2

Optimizing PV System Placement in Kirkuk City Power System U...

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2nd International engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Ali, Isam Taha Yahya, Adel E. M. Amer, Ayman Sarreb, Rebha Daw Yahya, Khalid Aldababsa, Mahmoud Hafez, Mohamed Istanbul Gelisim University Dept of Electrical and Electronics Engineering Istanbul Turkey Sabratah Universit Dept of Electrical Engineering Regdalen Libya Zarqa University Dept of Energy Engineering Zarqa Jordan College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Sabratah Unversity Dept of Computer Enemeenng Regdalen Libya Nisantasi University Dept of Electrical and Electronics Engineering Istanbul Turkey INTI-IU-University Faculty of Engineering Feqs Nilai Malaysia

ISBN: (纸本)9798350373363

Photovoltaics (PV) are a rapidly growing source of energy worldwide and are typically installed as distributed generation in distribution systems. PV technology has emerged as a promising solution for increasing power demand and reducing greenhouse gas emissions. Placing PV systems in distribution systems is crucial for overall performance, but it is a complex task with multiple constraints and objectives. Particle Swarm Optimization (PSO) is a metaheuristic optimization technique based on bird flocking behavior that has proven to be a valuable tool for solving optimization problems. The PSO algorithm can find the optimal location, size, and orientation of PV panels in a distribution system, considering power losses, voltage stability, and system capacity. This work analyzes the Kirkuk City Power System (IEEE-5 BusBar) to find the optimal location and size for PV systems, improve voltage levels, and reduce losses. The PSO algorithm compares the power system before and after connecting the PV system. © 2023 IEEE.

关键词： Greenhouse gases

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A Low-Cost Wideband MIMO Antenna for IoT Applications

A Low-Cost Wideband MIMO Antenna for IoT Applications

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2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2022

作者： Din, Iftikhar Ud Kiyani, Arslan Naqvi, Syeda Iffat Jamal Abdullah Al-Gburi, Ahmed Abbas, Syed Muzahir Ullah, Sadiq University of Engineering & Technology Telecommunication Engineering Department Mardan Pakistan Macquarie University School of Engineering Faculty of Science and Engineering SydneyNSW2109 Australia University of Engineering & Technology Telecommunication Engineering Department Taxila Pakistan Universiti Teknikal Malaysia Melaka Department of Electronics and Computer Engineering Durian Tunggal Malaysia

ISBN: (数字)9781665496582

ISBN: (纸本)9781665496582

This work presents a two-element multiple-input multiple-output (MIMO) antenna for IoT applications. A single antenna element is designed with wideband characteristics covering 4.2 to 7.5 GHz and is arranged in a perpendicular configuration to realize MIMO structure. The proposed design configuration exhibits good isolation without using decoupler with 47% fractional bandwidth and gain up to 5.1 dB. The presented structure has acceptable values for Envelope Correlation Coefficient (ECC), Diversity Gain (DG) and good isolation less than-26 dB. Being a low-cost solution, proposed design is suitable candidate for IoT application operating in 4-7.8 GHz, in particular, for 5-6 GHz, 4.70-6.19 GHz and 5.5-5.7 GHz operating bands. © 2022 IEEE.

关键词： Costs

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