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International Workshop on Advanced Motion Control (AMC)

作者： Haruta Shimamoto Takashi Yoshioka Shiro Urushihara Advanced Course in Industrial and Systems Engineering National Institute of Technology Kagawa College Takamatsu Japan Dept. of Electrical and Computer Engineering National Institute of Technology Kagawa College Takamatsu Japan

In this paper, to expand a control bandwidth of AC servo motor, a new current vector control considering an output delay of PWM Inverter is proposed. The proposed current control is a I-P control with an additional feedback gain, which is based on an extended state feedback consisted from a d-q motor model, the output delay of PWM inverter and an integrator of ACR. In addition, the proposed method is easy to implement to the existing AC servo system. The effectiveness of proposed method is validated in a computer simulation and an experiments using a 3.7 kW class motor test bench. In the condition that a cut-off frequency of ACR is close to a carrier frequency, the simulation results show that the proposed method dramatically improves the current response at the higher cut-off frequency. Moreover, the experimental results show that the proposed method dramatically improves the current response at each operating point. From the results, the proposed method is effective to the expand the bandwidth of AC servo motor.

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A Protective Submodule Design for Increased Resiliency in Modular Multilevel Converters

A Protective Submodule Design for Increased Resiliency in Mo...

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IEEE Energy Conversion Congress and Exposition, ECCE

作者： Araz Saleki Bahram Jahanbakhshi Pordanjani Mahima Gupta Dept. of Electrical and Computer Engineering Portland State University Portland OR USA Dept. of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

Several distinguishing characteristics have made Modular Multilevel Converters (MMCs) an appealing option for high-voltage and high-power applications, especially in HVDC transmission systems. When DC faults occur, MMC-HVDC systems are prone to temporary outages. Blocking DC faults effectively is essential to protect converters and minimize power transmission interruptions in MMC-based HVDC transmissions. This paper presents a novel protective submodule for MMCs that can be used in HVDC transmission systems. This approach isolates the AC grid from the DC fault and blocks the AC feeding phenomenon. Further, the proposed DC protection scheme facilitates converter fault ride-through and system restoration after fault removal. Analytical, simulation, and experimental results are presented in the paper.

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Innovative Blockchain and AI Solutions in Healthcare

Innovative Blockchain and AI Solutions in Healthcare

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IT Innovation and Knowledge Discovery (ITIKD), International Conference on

作者： Fayzeh Abdulkareem Jaber Redha Jasim Shaker Nour Abdulkareem Jaber Fadheela Hussain Ahmad AbdulKareem Jaber Vishwas Chakranarayan Dept. of Computer Studies University of Technology Bahrain (UTB) Manama Bahrain Dept. of Health Services Management University of La Verne California USA Dept. of Engineering University of Bahrain (UOB) Manama Bahrain Dept. of Administrative and Financial Sciences University of Technology Bahrain (UTB) Manama Bahrain

ISBN: (数字)9798350355468

ISBN: (纸本)9798350355475

Blockchain technology has emerged as a transformative including data security, interoperability, patient data ownership, and operational inefficiencies. This paper evaluates blockchain's impact on electronic health records (EHR) security, supply chain transparency, clinical research cooperation, and patient data control. Through comprehensive literature analysis, we highlight the benefits, limitations, and potential improvements for blockchain adoption in healthcare. Furthermore, a combined methodology of blockchain with artificial intelligence (AI) is presented, offering novel solutions to enhance healthcare data management and analytics. These findings lay a foundation for future research aimed at overcoming blockchain's current scalability and regulatory challenges to promote wider healthcare adoption.

关键词： Technological innovation Electric potential Scalability Supply chains Medical services Knowledge discovery Blockchains Artificial intelligence Electronic medical records Interoperability

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A Comprehensive Framework for Evaluating Cyber-Physical Threats in Energy Internet

A Comprehensive Framework for Evaluating Cyber-Physical Thre...

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Intelligent Systems and Advanced Applications (ICISAA), International Conference on

作者： Pooja Sahu A. Jeraldine Viji Vandana Roy Lipika Roy Devolla Manogna Somil Vasal Department of Computer Science & Engineering IES College of Technology Bhopal M.P. India Dept. of EEE Mailam Engineering College Villupuram TN India Department of EC GGITS Jabalpur M.P. India Dept. of Computer science and Business Studies GGITS Jabalpur M.P. India Dept. of CSE MLR Institute of Technology Hyderabad Telangana India Dept of Dept of Computer Science & Design GGITS Jabalpur M.P. India

ISBN: (数字)9798331539948

ISBN: (纸本)9798331539955

The proposed Energy Internet threat modeling technique identifies system constraints, components, and resources appropriately. Threat Modeling Algorithm classifies and identifies dangers using STRIDE. It assigns relevance and probability to each system vulnerability. Risk and vulnerability assessments can forecast and influence such scenarios. Grouping hazards by significance affects priorities. To demonstrate threat implications, we design and assess instances. Upon reviewing and revising the threat model, we establish risk ratings and determine their importance. Develop the risk model, inform the necessary stakeholders, and then mitigate the risk. A comprehensive risk assessment ensures that all hazards are effectively managed at the end of the activity. The assessment and management of cyber-physical risks in the energy Internet are implemented to enhance system security and resilience.

关键词： Threat modeling Energy Internet Hazards Classification algorithms Stakeholders Security Risk management Resource management Intelligent systems Resilience

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Framework for Brain Polyp Uncovering by CNN

Framework for Brain Polyp Uncovering by CNN

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International Conference on computer and Communications Technologies (ICCCT)

作者： J. Surendiran Akondi Narayana Kiran S Senthil Kumar Budati Suresh Kumar G. Saritha B P Pradeep Kumar Dept. of ECE HKBK College of Engineering VTU Belagavi Karnataka India Dept. of EEE New Prince Shri Bhavani College of Engineering and Technology Chennai Tamilnadu India Dept. of ECE Sri Sai Ram institute of Technology Chennai Tamilnadu India Department of Computer Science and design Atria Institute of Technology Bengaluru India

ISBN: (数字)9798331537579

ISBN: (纸本)9798331537586

This leads to in the development of malignant cells because of the body's cells growing abnormally. In the past, biopsy techniques—which are time-consuming and invasive—have been used to determine the tumour. By training a Convolutional Neural Network (CNN), we hope to detect the three most common types of brain tumours: pituitary, glioma, and meningioma. The model provides radiologists with an effective decision-support tool by utilizing data augmentation and optimized architectures to attain state-of-the-art accuracy. The most dangerous cancerous tumours that can shorten life expectancy are gliomas. High-level mathematical functions are implemented utilising the anaconda frameworks in the proposed study, which uses tensor flow to segment brain tumours. When brain tumours are detected early, patient survival rates increase. A convolutional neural network (CNN) is made up of one or more convolutional layers, sometimes with a subsampling layer in between. Like a regular neural network, it is followed by one or more fully connected layers. Data augmentation is used to the publicly accessible brain tumour dataset in order to improve the training model's efficiency. The compiled dataset contains a wide range of instances, such as 2,548 glioma photographs, 2,658 pituitary tumour images, 2,582 meningioma images, and 2,500 non-tumorous condition images.

关键词： Training Tensors Magnetic resonance imaging Biological system modeling Biopsy Data augmentation Brain modeling Data models Convolutional neural networks Tumors

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Development of an IoT-based Medical Triage for Sustainable Healthcare Delivery

Development of an IoT-based Medical Triage for Sustainable H...

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IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Reginald Ekene Ogu Michael Chukwudi Ndinechi Lazarus O. Uzoechi Thaddeus Ogadimma Okonkwo Justina Ugochi Udensi Kelechi Osuagwu Department of Computer Engineering Federal University of Technology Owerri Owerri Nigeria Dept. of Telecommunication Engineering Federal University of Technology Owerri Owerri Nigeria Dept. of Electrical Engineering Federal University of Technology Owerri Owerri Nigeria Dept. of Information Technology Federal University of Technology Owerri Owerri Nigeria Dept. of Environmental Health Science Federal University of Technology Owerri Owerri Nigeria Dept. of Health Services Federal University of Technology Owerri Owerri Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Quality healthcare delivery guarantees good health. In turn, good health is a perquisite to the attainment of the United Nations Sustainable Development Goal #3. The need for quality and accessible healthcare delivery has been made bare following the COVID-19 pandemic and other recent health challenges. The ubiquitous capability of the Internet is a feature that when harnessed very well will be vital to the attainment of one of the targets of the United Nations Sustainable Development Goal 3 - achieving universal health coverage. The development of an Internet of Things-based Medical Triage for Sustainable Healthcare Delivery is presented in this paper. Specifically, a web application is developed herein to provide common platforms where key actors of a healthcare delivery facility: doctors, nurses, administrators and patients can interact with IoT nodes that measure vital body signs like body temperature and pulse. The i-med triage developed with the Laravel PHP framework uses Application Program Interface (API) keys that enable IoT sensors to write the measured data to a database. From the database, API read keys enable the measured data to be displayed on dashboards which are visible to healthcare providers.

关键词： Temperature measurement Temperature sensors Databases Telemedicine Medical services Biomedical measurement Telecommunications Sensors Sustainable development Medical diagnostic imaging

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Novel Approach for Data Encryption with Multilevel Compressive

Novel Approach for Data Encryption with Multilevel Compressi...

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International Conference on Inventive Computation Technologies (ICICT)

作者： Niravkumar Gadhiya Shrinath Tailor Sheshang Degadwala Sri Balaji College of Engineering & Technology Jaipur India Computer Science Engineering Sri Balaji College of Engineering & Technology Jaipur India Dept. of Comp. Eng Sigma University Gujarat India

ISBN: (数字)9798350359299

ISBN: (纸本)9798350359305

This research proposes a novel approach for data encryption employing a multilevel compressive strategy. The process initiates by reading heterogeneous data, followed by the conversion of the data into Base64 encoding. Subsequently, an encryption key is generated to secure the data, utilizing the Fernet encryption algorithm. The encrypted data is then subjected to compression using the zlib algorithm, introducing an additional layer of security and efficiency. The final step involves the storage of the encrypted and compressed data. The study also emphasizes the evaluation of the compressed data size, providing insights into the effectiveness of the proposed approach in optimizing storage and transmission requirements while ensuring robust data security. This multilevel compressive technique not only enhances data protection but also addresses the challenges of data volume and transmission efficiency in contemporary information systems.

关键词： Measurement Law Scalability Data protection Encoding Real-time systems Encryption

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Analysis of Public Sentiment on Dhaka Metro Rail with Transformer Based Architectures

Analysis of Public Sentiment on Dhaka Metro Rail with Transf...

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International Conference on computer and Information technology (ICCIT)

作者： Samiha Maisha Jeba Tanjim Taharat Aurpa Farshid Hossain Siyam Rajib Khan Faniyam Maria Mansia Dept. of Computer Science and Engineering International University of Business Agriculture and Technology Bangladesh Dept. of Educational Technology Bangabandhu Sheikh Mujibur Rahman Digital University Bangladesh

Dhaka Metro Rail is a mesmerizing initiative of the Bangladesh Government that has brought comfort to people. This project got a huge appreciation from people for its continuous service. Mass people use the train for rambling, going to the workplace, etc. Again, for some unwanted circumstances, Dhaka Metro Rail gleaned negative criticism from various *** this research, we analyzed public sentiment on Dhaka Metro Rail from popular social media using recent NLP architectures like BERT, XLNet and Electra, where BERT outperformed than other with an accuracy of 91.11% in correctly identifying the sentiments of the public *** sentiment of a comment is identified into predefined categories, such as positive, negative, or neutral.

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An Energy Efficiency Method in UAV-Assisted IIoT Network

An Energy Efficiency Method in UAV-Assisted IIoT Network

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International Conference on Internet of Things and Applications (IoT)

作者： Amirhossein Solati Javad Zeraatkar Moghaddam Mehrdad Ardebilipour dept. Electrical Engineering K. N. Toosi University of Technology Tehran Iran dept. Electrical and Computer Engineering University of Birjand Birjand Iran

This research investigates beamforming and Non-Orthogonal Multiple Access (NOMA) techniques to enhance the performance of Unmanned Aerial Vehicle (UAV)-assisted communication in Industrial Internet of Things (IIoT) networks. The primary objective is to maximize Energy Efficiency (EE) while considering the challenges of variable user locations and optimizing UAV height. An iterative algorithm is proposed to effectively tackle the non-convex optimization problem, leading to improved EE and overall system performance. Extensive simulations demonstrate the significance of UAV height optimization, which positively impacts EE. Additionally, the performance of different beamforming methods is compared, highlighting the trade-off between complexity and EE performance. The results show that the proposed algorithm outperforms existing approaches, achieving better EE and communication efficiency. This study provides valuable insights for optimizing resource allocation and energy utilization in UAV-assisted IIoT networks, contributing to the advancement of sustainable and efficient wireless communication technologies.

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FedNC: A Secure and Efficient Federated Learning Method with Network Coding

arXiv

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arXiv 2023年

作者： Shi, Yuchen Zhu, Zheqi Fan, Pingyi Letaief, Khaled B. Peng, Chenghui Dept. of Electronic Engineering BNRist Tsinghua University China Dept. of Electronic and Computer Engineering HKUST Hong Kong Wireless Technology Laboratory Huawei Technologies China

Federated Learning (FL) is a promising distributed learning mechanism which still faces two major challenges, namely privacy breaches and system efficiency. In this work, we reconceptualize the FL system from the perspective of network information theory, and formulate an original FL communication framework, FedNC, which is inspired by Network Coding (NC). The main idea of FedNC is mixing the information of the local models by making random linear combinations of the original parameters, before uploading for further aggregation. Due to the benefits of the coding scheme, both theoretical and experimental analysis indicate that FedNC improves the performance of traditional FL in several important ways, including security, efficiency, and robustness. To the best of our knowledge, this is the first framework where NC is introduced in FL. As FL continues to evolve within practical network frameworks, more variants can be further designed based on FedNC. Copyright © 2023, The Authors. All rights reserved.

关键词： Network coding

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