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Single-Phase Direct PWM Bipolar Buck–Boost AC–AC Converter Without Commutation Problem

IEEE Journal of Emerging and Selected Topics in Power Electronics 2023年第6期11卷 5940-5953页

作者： Ahmed, Hafiz Furqan Ali Khan, Ashraf Abdoli, Iman Zaabi, Omar Al the Department of Electrical Engineering National Sun Yat-sen University Kaohsiung80424 Taiwan the Department of Electrical and Computer Engineering Faculty of Engineering and Applied Science Memorial University of Newfoundland St. John’sNLA1B 3X7 Canada the Department of Electrical Engineering Shahid Beheshti University Tehran19839-69411 Iran Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi United Arab Emirates

— The direct pulsewidth modulation (PWM) ac–ac converters are seeing rapid development due to their single-stage power conversion with reduced footprints, due to the elimination of intermediate dc-link capacitor. However, they only provide unipolar voltage gain and fixed frequency operation and use the bidirectional voltage-blocking devices without natural inductor current free-wheeling path, restricting their practical applications. This article proposes a direct PWM bipolar and step-variable frequency buck–boost ac–ac converter. The proposed converter is fabricated by connecting input–output LC filters and a small value film capacitor to six unidirectional voltage-blocking devices, which are arranged as a three-leg inverter module. It can provide noninverting and inverting buck–boost voltage operations with a symmetric bipolar voltage gain of ±d/(1 − d) and can also change the frequency of output voltage in discrete steps, same as that of single-phase matrix converters (MCs). It has no open-circuit risk of inductor due to the presence of natural current free-wheeling path during PWM dead time. Therefore, it is unaffected by the commutation problem of conventional direct ac–ac converters. The proposed converter can realize high-quality input and output due to the presence of second-order input–output filters with continuous input–output currents. A detailed analysis is provided based on proposed switch modulation strategies and confirmed through extensive experimental tests on a laboratory-fabricated hardware. © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission.

关键词： Matrix converters

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Stochastic Programming for Hub Energy Management Considering Uncertainty Using Two-Point Estimate Method and Optimization Algorithm

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computer Modeling in engineering & sciences 2023年第12期137卷 2163-2192页

作者： Ali S.Alghamdi Mohana Alanazi Abdulaziz Alanazi Yazeed Qasaymeh Muhammad Zubair Ahmed Bilal Awan M.G.B.Ashiq Department of Electrical Engineering College of EngineeringMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Electrical Engineering College of EngineeringJouf UniversitySakaka72341Saudi Arabia Department of Electrical Engineering College of EngineeringNorthern Border UniversityAr’Ar73222Saudi Arabia Automation and Control Department College of Engineering TechnologyUniversity of Doha for Science and TechnologyDoha24449Qatar Department of Electrical and Computer Engineering College of Engineering and Information TechnologyAjman UniversityAjman20550United Arab Emirates Department of Physics College of ScienceImam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

To maximize energy profit with the participation of electricity,natural gas,and district heating networks in the day-ahead market,stochastic scheduling of energy hubs taking into account the uncertainty of photovoltaic and wind resources,has been carried *** has been done using a new meta-heuristic algorithm,improved artificial rabbits optimization(IARO).In this study,the uncertainty of solar and wind energy sources is modeled using Hang’s two-point estimating method(TPEM).The IARO algorithm is applied to calculate the best capacity of hub energy equipment,such as solar and wind renewable energy sources,combined heat and power(CHP)systems,steamboilers,energy storage,and electric cars in the *** standard ARO algorithmis developed to mimic the foraging behavior of rabbits,and in this work,the algorithm’s effectiveness in avoiding premature convergence is improved by using the dystudynamic inertia weight *** proposed IARO-based scheduling framework’s performance is evaluated against that of traditional ARO,particle swarm optimization(PSO),and salp swarm algorithm(SSA).The findings show that,in comparison to previous approaches,the suggested meta-heuristic scheduling framework based on the IARO has increased energy profit in day-ahead electricity,gas,and heating markets by satisfying the operational and energy hub ***,the results show that TPEM approach dependability consideration decreased hub energy’s profit by 8.995%as compared to deterministic planning.

关键词： Stochastic energy hub scheduling energy profit uncertainty Hong’s two-point estimate method improved artificial rabbits optimization

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Improving bot detection of fake followers on Twitter via a hybrid B-HC optimisation algorithm 5

Improving bot detection of fake followers on Twitter via a h...

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5th IEEE International Conference on Electrical, computer and Communication Technologies, ICECCT 2023

作者： Alzeyadi, Haider Duran, Fecir Informatics Institute Department of Computer Science Gazi University Ankara Turkey Gazi University Engineering Faculty of Technology Department of Computer Engineering Ankara Turkey

ISBN: (纸本)9781665493604

Sophisticated cyber threats are seen on Online Social Networks (OSNs) social media accounts automated to imitate human behaviours has an impactful effect on distorting public thoughts and opinions. OSNs are weaponized to diffuse deception, misinformation, and malicious activities, that forms a serious threat to society. The deceptive nature of imitating human behaviour has become a challenging and crucial task to detect automated accounts (socialbots). This research, however, proposes a hybrid metaheuristic optimisation algorithm for socialbot detection. Specifically, a hybrid B-Hill Climbing (B-HC) optimisation algorithm works in tandem with a k-NN nearest neighbour classifier to accurately select a relevant feature subset. It is applied to be tested for fake followers account on Twitter data. Experimental results showed that the proposed method is better than the traditional and the latest feature selection techniques as well as the rule-set methods. The B-HC alongside with k-NN method achieved promising results using only relevant feature subset. © 2023 IEEE.

关键词： Feature Selection

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A data-driven architecture for remote control of sensors over a wireless sensor network and the internet

A data-driven architecture for remote control of sensors ove...

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10th International Symposium on Pervasive systems, Algorithms, and Networks, I-SPAN 2009

作者： Chang, Yuan-Jen Chen, Chin-Hsing Huang, Wen-Tzeng Chen, You-Yin Kuo, Chih-Yuan Department of Management Information Systems Central Taiwan University of Science and Technology Taichung Taiwan Department of Computer Science and Information Engineering Minghsin University of Science and Technology Hsinchu Taiwan Department of Electrical and Control Engineering National Chiao Tung University Hsinchu Taiwan Institute of Biomedical Engineering and Material Science Central Taiwan University of Science and Technology Taichung Taiwan

ISBN: (纸本)9780769539089

This study revealed an applicable architecture in which a data-driven mechanism was designed to bridge a wireless sensor network (WSN) and the Internet. The system was divided into two independent parts. The first part is the data communication between the sensor network and the database. The other part is the data communication between the database and the user interface (UI). These two parts are connected by the database server. Asynchronous interoperation was introduced while exchanging data between these two parts. Users were not allowed to control the sensors through direct connection to the sensors and can only use the Web service to update the sensor profile built in the database. The sensors were triggered to start the action through a dataupdate event from the database. A sensor profile built in the database collected all sensor information and all user control command. For the information to be centralized and triggered by the database, regardless of whether sensors were measured in a periodic sampling or an event-driven environment, all sensor actions were triggered through a data-update event in the database. For the sake of improving user experience, a Web-based UI was implemented using scalable vector graphics (SVG) and Ajax technologies. All operations by users were conducted through the Hypertext Transfer Protocol (HTTP) standard method. Therefore, this system can be used via a browser and easily deployed. The proposed architecture is suitable for a healthcare system, a personal body area network, and the Infranet for control. © 2009 IEEE.

关键词： Wireless sensor networks

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Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation

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Journal of Medical Internet Research 2025年第1期27卷 e69173页

作者： Luo, Yaxi Jiao, Meng Fotedar, Neel Ding, Jun-En Karakis, Ioannis Rao, Vikram R. Asmar, Melissa Xian, Xiaochen Aboud, Orwa Wen, Yuxin Lin, Jack J. Hung, Fang-Ming Sun, Hai Rosenow, Felix Liu, Feng Department of Computer Science Schaefer School of Engineering & Science Stevens Institute of Technology Hoboken NJ United States Department of Systems and Enterprises Schaefer School of Engineering & Science Stevens Institute of Technology Hoboken NJ United States School of Medicine Case Western Reserve University Cleveland OH United States Department of Neurology University Hospitals Cleveland Medical Center Cleveland OH United States Department of Neurology School of Medicine Emory University Atlanta GA United States Department of Neurology School of Medicine University of Crete Heraklion Greece Department of Neurology and Weill Institute for Neurosciences University of California San Francisco San Francisco CA United States Department of Neurology University of California Davis Davis CA United States H. Milton Stewart School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta GA United States Department of Neurology and Neurological Surgery University of California Davis Davis CA United States Fowler School of Engineering Chapman University Orange CA United States Center of Artificial Intelligence Far Eastern Memorial Hospital New Taipei City Taiwan Surgical Trauma Intensive Care Unit Far Eastern Memorial Hospital New Taipei City Taiwan Department of Neurosurgery Rutgers Robert Wood Johnson Medical School Rutgers The State University of New Jersey New Brunswick NJ United States Department of Neurology Epilepsy Center Frankfurt Rhine-Main Goethe University Frankfurt Frankfurt am Main Germany Semcer Center for Healthcare Innovation Stevens Institute of Technology Hoboken NJ United States

Background: For patients with drug-resistant focal epilepsy, surgical resection of the epileptogenic zone (EZ) is an effective treatment to control seizures. Accurate localization of the EZ is crucial and is typically achieved through comprehensive presurgical approaches such as seizure semiology interpretation, electroencephalography (EEG), magnetic resonance imaging (MRI), and intracranial EEG (iEEG). However, interpreting seizure semiology is challenging because it heavily relies on expert knowledge. The semiologies are often inconsistent and incoherent, leading to variability and potential limitations in presurgical evaluation. To overcome these challenges, advanced technologies like large language models (LLMs)—with ChatGPT being a notable example—offer valuable tools for analyzing complex textual information, making them well-suited to interpret detailed seizure semiology descriptions and accurately localize the EZ. Objective: This study evaluates the clinical value of ChatGPT for interpreting seizure semiology to localize EZs in presurgical assessments for patients with focal epilepsy and compares its performance with that of epileptologists. Methods: We compiled 2 data cohorts: a publicly sourced cohort of 852 semiology-EZ pairs from 193 peer-reviewed journal publications and a private cohort of 184 semiology-EZ pairs collected from Far Eastern Memorial Hospital (FEMH) in Taiwan. ChatGPT was evaluated to predict the most likely EZ locations using 2 prompt methods: zero-shot prompting (ZSP) and few-shot prompting (FSP). To compare the performance of ChatGPT, 8 epileptologists were recruited to participate in an online survey to interpret 100 randomly selected semiology records. The responses from ChatGPT and epileptologists were compared using 3 metrics: regional sensitivity (RSens), weighted sensitivity (WSens), and net positive inference rate (NPIR). Results: In the publicly sourced cohort, ChatGPT demonstrated high RSens reliability, achieving 80% to 90% f

关键词： AI for health care ChatGPT clinical value epilepsy presurgical evaluation epileptogenic zone localization large language models seizure semiology

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An EfficientNet to Classify Monkeypox-Comparable Skin Lesions Using Transfer Learning

An EfficientNet to Classify Monkeypox-Comparable Skin Lesion...

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2023 IEEE International Conference on Omni-Layer Intelligent systems, COINS 2023

作者： Hossen, Md. Rifat Alfaz, Nazia Sami, Adnan Tanim, Sharia Arfin Bin Sarwar, Talha Islam, Md. Kamrul Department of Computer Science and Engineering Dhaka Bangladesh Department of Computer Science Dhaka Bangladesh College of Computing and Applied Science Universiti Malaysia Pahang Faculty of Computing Pekan Malaysia

ISBN: (纸本)9798350346473

Monkeypox is an infectious illness caused by the DNA-based monkeypox virus, which has raised public health concerns due to its rapid transmission to over 50 countries. Direct physical interaction with infected humans or infected animals is the main reason behind the spread of this virus. The appearance of skin problems such as smallpox and rashes are the most frequently reported symptoms of this virus. Since cases of monkeypox are increasing rapidly around the world, stopping the spread of this zoonosis by providing early diagnosis and treatment is crucial before the emergence of a pandemic similar to COVID-19. In this study, we aim to propose a transfer learning-based approach using the EfficientNet-B0 architecture to identify monkeypox subjects by using skin lesion image samples. However, distinguishing monkeypox from other comparable infectious skin illnesses like chickenpox and measles is challenging. Therefore, additionally, this study identifies other diseases that also cause blisters and rashes on the skin, like chickenpox, and measles. During the data distribution phase, 5-fold cross-validation is used to validate the work's reliability by assuring that every sample is utilized for training and validation. For the evaluation of the model's classification performance, accuracy and loss are recorded for each training epoch. Moreover, precision, recall, F1-score, and confusion matrix are generated upon completion of the model training. This proposed approach is experimented on a public dataset and has shown remarkable performance by providing an overall 96.53% classification accuracy, 96.57% precision, 96.53% recall, and 96.52% F1-score. © 2023 IEEE.

关键词： Viruses

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A Reputation-Based AODV Protocol for Blackhole and Malfunction Nodes Detection and Avoidance

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computers, Materials & Continua 2024年第8期80卷 1867-1888页

作者： Qussai M.Yaseen Monther Aldwairi Ahmad Manasrah Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjman346United Arab Emirates Department of Computer Information Systems Faculty of Computer and Information TechnologyJordan University of Science and TechnologyIrbid22110Jordan College of Technological Innovation Zayed UniversityAbu Dhabi144534United Arab Emirates Faculty of Information Technology and Computer Science Yarmouk UniversityIrbid21163Jordan Computer Information Systems Higher Colleges of TechnologySharjah341214United Arab Emirates

Enhancing the security of Wireless Sensor Networks(WSNs)improves the usability of their ***,finding solutions to various attacks,such as the blackhole attack,is crucial for the success of WSN *** paper proposes an enhanced version of the AODV(Ad Hoc On-Demand Distance Vector)protocol capable of detecting blackholes and malfunctioning benign nodes in WSNs,thereby avoiding them when delivering *** proposed version employs a network-based reputation system to select the best and most secure path to a *** achieve this goal,the proposed version utilizes the Watchdogs/Pathrater mechanisms in AODV to gather and broadcast reputations to all network nodes to build the network-based reputation *** minimize the network overhead of the proposed approach,the paper uses reputation aggregator nodes only for forwarding reputation ***,to reduce the overhead of updating reputation tables,the paper proposes three mechanisms,which are the prompt broadcast,the regular broadcast,and the light broadcast *** proposed enhanced version has been designed to perform effectively in dynamic environments such as mobile WSNs where nodes,including blackholes,move continuously,which is considered a challenge for other *** the proposed enhanced protocol,a node evaluates the security of different routes to a destination and can select the most secure routing *** paper provides an algorithm that explains the proposed protocol in detail and demonstrates a case study that shows the operations of calculating and updating reputation values when nodes move across different ***,the paper discusses the proposed approach’s overhead analysis to prove the proposed enhancement’s correctness and applicability.

关键词： AODV blackhole malfunction nodes pathrater reputation system wireless sensor networks(WSNs) watchdogs

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A new algorithm for the weighted sum rate maximization in MIMO interference networks

A new algorithm for the weighted sum rate maximization in MI...

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2015 IEEE Wireless Communications and Networking Conference, WCNC 2015

作者： Li, Xing You, Seungil Chen, Lijun Liu, An Liu, Youjian Eugene College of Engineering and Applied Science University of Colorado at Boulder United States Department of Control and Dynamical Systems California Institute of Technology United States Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong

ISBN: (纸本)9781479984060

MIMO interference network optimization is important for increasingly crowded wireless communication networks. This paper presents a new algorithm, named Dual Link Algorithm, for weighted sum-rate maximization where the interference is efficiently managed. We consider general MIMO interference channels with Gaussian input and a total power constraint. Two of the previous state-of-the-art algorithms are the WMMSE algorithm and the polite water-filling (PWF) algorithm. The WMMSE algorithm is provably convergent, while the PWF algorithm takes the advantage of the optimal transmit signal structure and converges the fastest in most situations but is not guaranteed to converge in all situations. Therefore, it is highly desirable to design an algorithm that has the advantages of both algorithms. The proposed dual link algorithm is such an algorithm. Its fast and guaranteed convergence is important to distributed implementation and time varying channels. In addition, the technique and a scaling invariance property used in the convergence proof may find applications in other non-convex problems in communication networks. © 2015 IEEE.

关键词： MIMO systems

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In anticipation of a new year

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IEEE TRANSACTIONS ON systems MAN AND CYBERNETICS PART B-CYBERNETICS 2006年第6期36卷 1214-1215页

作者： Cook, Diane J. Department of Mechanical and Aerospace Engineering University of California Irvine (UCI) United States Department of Computer Science Stanford University United States Department of Mechanical Engineering Massachusetts Institute of Technology United States Engineering Steering Committee Robomedica Inc. Irvin CA United States Department of Control Science and Engineering Harbin Institute of Technology China University of Alberta Edmonton Alta. Canada Department of Information Retrieval Otto-von-Guericke University of Magdeburg Germany German Science Foundation Germany

No abstract available

关键词： Robotics and automation Cybernetics control systems Humans Robot sensing systems Rehabilitation robotics Dictionaries Communication system control Biological control systems Fuzzy systems

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Data communication security of advanced metering infrastructure in smart grid

Data communication security of advanced metering infrastruct...

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5th International Conference on Computational Intelligence and Communication Networks, CICN 2013

作者： Mehra, Tanvi Dehalwar, Vasudev Kolhe, Mohan Department of Computer Science and Engineering M.A. National Institute of Technology Bhopal India Faculty of Engineering and Science University of Agder Grimstad NO-4879 Norway

ISBN: (纸本)9780768550695

Advanced Metering Infrastructure (AMI) is very critical part for wired/wireless communication in Smart Grid. It involves communication of vital smart metering data to central control center for smooth functioning of smart grid. Security and reliability of data is of paramount importance for operational reliability of smart grid. AMI network is susceptible to many cyber security threats and attacks. Therefore it is desirable to prevent the data from such vulnerabilities. The paper proposes two-phase method to provide security of data using dedicated authentication server which inhibits malicious and unauthorized nodes to gain access to AMI communication network. Secure environment is created by this method that helps in achieving better throughput and packet delivery ratio. Thus, it improves the security and performance of the network. © 2013 IEEE.

关键词： Smart power grids

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