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5th IEEE International Conference on Advanced electrical and Energy Systems, AEES 2024

作者： Wang, Na Dong, Yueyang Zhen, Xiaofei Jiao, Ruonan Fu, Haoran Chen, Yuying Lanzhou Jiaotong University School of Mechatronic Engineering Lanzhou China Lanzhou Jiaotong University School of New Energy and Power Engineering Lanzhou China The University of Adelaide Faculty of Engineering Computer and Mathematical Sciences Adelaide Australia Shandong University of Science and Technology Academy of Electrical and Automation Engineering Qingdao China

ISBN: (纸本)9798331517724

Pilot-operated solenoid valves have the advantage of fast response times and can meet high pressure and large diameter requirements through their structural characteristics, making them widely used in various fields. The pilot-operated solenoid valve discussed in this article is applied in a new energy system a sewage treatment system based on solar photovoltaic and solar thermal technology. The pilot-operated solenoid valve designed in this paper controls the flow rate and velocity of the sewage. This article uses Fluent to calculate the flow coefficient of pilot-type solenoid valves at various openings, exploring the flow characteristics of these valves. Based on computational fluid dynamics, simulations of the cavitation flow field were performed for pilot-type solenoid valve models at different openings, resulting in pressure contour plots and liquid velocity vector diagrams within the pilot valve. The study investigated the effects of the valve opening and the pressure difference at the inlet and outlet on the cavitation conditions within the valve. This provides a foundation for subsequent analysis of the vibration characteristics and structural optimization of solenoid pilot valves. The results indicate that negative pressure occurs within the solenoid pilot valve at all openings, leading to cavitation phenomena. When the opening is greater than or equal to 0.5, significant negative pressure appears near the valve port of the valve sleeve, with more pronounced cavitation phenomena, which can easily lead to cavitation bubbles and deformation. © 2024 IEEE.

关键词： Solenoid valves

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Evolutional Codes: Novel Efficient Graph Data Representation for Mobile Edge Computing

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IEEE Transactions on network Science and engineering 2024年第1期11卷 1387-1397页

作者： Sun, Elaine Y.-N. Wu, Hsiao-Chun Huang, Scott C.-H. Kuan, Yen-Cheng Yung, Chi National Tsing Hua University Department of Electrical Engineering Hsinchu30013 Taiwan Louisiana State University School of Electrical Engineering and Computer Science Baton RougeLA70803 United States Yuan Ze University Innovation Center for Ai Applications Chungli32003 Taiwan International College of Semiconductor Technology Hsinchu30010 Taiwan

To transmit big graph data emerging from prevalent social networks and biological networks over mobile devices has become challenging nowadays. Since graphs are usually represented by the associated adjacency matrices or graph data structures, dynamic node (vertex) re-ordering to reflect the nodes' real relations (for example, spatial or structural relations) is desirable in practice but impossible for these two existing graph-representation methods. Lately, we proposed a novel evolutional coding technique, which can restructure graph data dynamically, flexibly, and efficiently for transmission among mobile devices. Memory efficiency, in terms of number of memory storage units, is a crucial performance measure for mobile edge computing. To select the optimal graph-representation strategy for arbitrary graph data, we define a new graph-taxonomy metric dependent on the edge density (edges per node) in this work. According to our newly defined graph-taxonomy metric, one can choose the optimal graph-representation solution among the three aforementioned methods in terms of required memory-storage space for any application. Pertinent theorems and proofs for the underlying comparative studies on graph representation are presented in this article. © 2013 IEEE.

关键词： Digital storage

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Proposed Framework for Modifications to Artificial Intelligence/Machine Learning (Ai/Ml)-Based Software as A Medical Device (SAMD) 7

Proposed Framework for Modifications to Artificial Intellige...

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7th International Conference on Contemporary Computing and Informatics, IC3I 2024

作者： Shrivastava, Anurag Jain, Upma Al-Farouni, Mohammed Kumar, Yogendra Anandhi, R.J. Bhavana, Munugapati Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Tamilnadu Chennai India Graphic Era Deemed to be University Department of Computer Science & Engineering Dehradun India The Islamic university College of technical engineering Department of computers Techniques engineering Najaf Iraq Gla University Department of Electrical Engineering Mathura India New Horizon College of Engineering Department of Information Science Engineering Bangalore India Mlr Institute of Technology Department of Computer Science and Engineering Telangana Hyderabad India

ISBN: (纸本)9798350350067

The rapid adoption of software as a medical device (SAMD) driven by artificial intelligence and machine learning has brought about a fundamental shift in the medical industry. This shift has the potential to greatly improve clinical outcomes and the quality of care provided to patients. This shift has been responsible for a number of key achievements made in recent times. When seen in this context, the proposed legal framework for revisions to the AI/ML-SAMD appears as an essential response to the malleability of these technologies. To successfully navigate the tough process of modifying AI/ML-SAMD with the assistance of this framework. It does this by taking into consideration the need for rapid regulatory scrutiny and making an attempt to combine the promotion of innovation with the simultaneous preservation of patient safety. In other words, it ensures that patient safety is protected while also encouraging innovation. This abstract provides a summary of the fundamental components of the framework, as well as a discussion of the significance of those components with regard to fostering the development of moral AI/ML-SAMD within the context of the healthcare ecosystem. The healthcare sector is undergoing a change as a direct result of artificial intelligence and machine learning, which are improving patient outcomes, diagnostic accuracy, and treatment options. The research emphasizes the significance of specific AI and ML applications as well as the sector's embrace of this paradigm-shifting technology. In addition, the regulatory framework that has been presented is an important step towards guaranteeing the safe use of AI and ML in the medical field. © 2024 IEEE.

关键词： Artificial Intelligence Compliance Guidelines Healthcare Innovation Machine Learning Modifications Patient Safety Regulatory Framework Software as a Medical Device

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SynFloWatch: An Entropy-Based Live Defense System against SYN Spoofing DDoS Attacks in Hybrid SDN

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Journal of network and Systems Management 2025年第4期33卷 1-33页

作者： Sinha, Mitali Mukherjee, Joy Chandra Bera, Padmalochan Satpathy, Manoranjan School of Electrical and Computer Sciences Indian Institute of Technology Bhubaneswar Bhubaneswar India Computer Science & Engineering Department Parala Maharaja Engineering College BPUT Odisha Berhampur India

A hybrid software-defined network (SDN) is the combination of both traditional network infrastructure and SDN which provides the benefits of centralized SDN control and the distributed nature of legacy networks. However, it faces security challenges, particularly SYN spoofing-based Distributed Denial-of-Service (DDoS) attacks. In this attack, malicious hosts send a large number of fake TCP-SYN packets to both controller and victim servers by spoofing the packets’ header fields, leading to network malfunction. Existing solutions are unable to detect low-rate and multi-victim SYN spoofing attacks, leading to a high False Negative Rate (FNR), and indiscriminately block both benign and malicious traffic during an attack, leading to a high False Positive Rate (FPR). To address these challenges, we present SynFloWatch, a live defense system against SYN spoofing based DDoS attacks in hybrid SDN. SynFloWatch is designed at the control layer of SDN and it consists of two modules: (i) DDoS Detection module, and (ii) DDoS Mitigation module. The DDoS Detection module employs Tsallis entropy analysis on network traffic directed towards the controller to identify DDoS traffic, victim servers, and malicious switch ports generating spoofed SYN packets. The DDoS Mitigation module uses a combination of SYN-proxy and SYN-cookie approaches to drop spoofed SYN packets from malicious switch ports while allowing legitimate traffic to proceed. We implement SynFloWatch in Floodlight controller and evaluate its performance under various attack scenarios using Mininet emulator. Experimental results demonstrate that SynFloWatch detects both low and high-rate SYN-flood attacks with a reduced FNR of 25% and effectively mitigates their impact with a decreased FPR of 50% compared to existing state-of-the-art solutions.

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End-of-Sentence Token Modeling for Streaming Conformer-Based Korean Children's Speech Recognition Applied to a Social Robot

End-of-Sentence Token Modeling for Streaming Conformer-Based...

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2023 IEEE International Conference on Consumer Electronics-Asia, ICCE-Asia 2023

作者： Jeong, Seunghun Park, Yejin Kim, Hong Kook Ai Graduate School Korea Republic of Gwangju Institute of Science and Technology School of Electrical Engineering and Computer Science Gwangju61005 Korea Republic of

ISBN: (纸本)9798350344318

This paper proposes an end-of-sentence (EOS) token modeling approach for streaming conformer-based Korean children's speech recognition applied to a social robot. The baseline system for speech recognition is a streaming conformer-based speech recognition model with the joint connectionist temporal classification attention-based encoder-decoder architecture, and it is trained with the AIHub Child•Infant Free-Talk dataset. However, it is difficult to determine sentence boundaries in children's speech because the speaking style of children is somewhat different from that of adults. Thus, the proposed approach is to insert EOS tokens into each sentence of a large children's dataset to detect sentence boundaries. Finally, we evaluated the performance of the proposed approach on a dataset collected under scenarios of a voice interaction between children and a social robot. Consequently, the proposed EOS token modeling decreased character error rate by 1.7%, compared to the baseline. © 2023 IEEE.

关键词： Speech recognition

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Evaluating Incremental-Quantity Protection Elements in Hybrid Transmission Lines with Overhead and Underground Segments

Evaluating Incremental-Quantity Protection Elements in Hybri...

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Workshop on Communication networks and Power Systems (WCNPS)

作者： Adrian W. Diaz Sarmiento Jaimis S. L. Colqui José P. Filho School of Electrical and Computer Engineering University of Campinas Brazil

ISBN: (数字)9798331507152

ISBN: (纸本)9798331507169

This paper evaluates the performance of incremental-quantity protection elements TD32 and TD21 in hybrid transmission lines (HTLs) that combine overhead transmission lines (OHLs) and underground cables (UGCs). Ground faults were simulated using a 380 kV/60 Hz power system in PSCAD, with six configurations and 216 fault scenarios per configuration under varying conditions, including fault time, location, resistance, and phase. Analysis through scatter and boxplot plots revealed significant differences in the operation times of protection functions between HTLs and OHLs, impacting overall system reliability. Specifically, the presence of UGCs alters fault detection times (Start Logic) and the performance of protective relays regarding incremental quantities, potentially leading to delays in fault clearance. These findings underscore the necessity for protective schemes to accommodate the unique dynamics of HTLs, enhancing overall system reliability and operational efficiency.

关键词： Resistance Power transmission lines Power system dynamics Protective relaying Robustness Logic Impedance Protection PSCAD Cables

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Enabling Physically Secure Human Body Communication in Body Resonance Region with Faraday Fabric

Enabling Physically Secure Human Body Communication in Body ...

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IEEE MTT-S International Microwave Bio Conference ((IMBIOC)

作者： Qi Huang Samyadip Sarkar Shreyas Sen School of Electrical and Computer Engineering Purdue University USA

ISBN: (数字)9798350351057

ISBN: (纸本)9798350351064

Human Body Communication (HBC) is an energy-efficient alternative to conventional radio frequency (RF) communication. The HBC in the Electro-Quasistatic (EQS) region is physically secure as the signal is mostly confined within 5~10 cm around the human body. However, HBC in the body resonance (BR) region suffers greatly from radiation, which makes the signal easily eavesdropped even at a large distance, and there have not been any efficient shielding methods. This paper, for the first time, introduces a method to shield the BR HBC signal and greatly minimize leakage. Firstly, the transmitter-body interface leakage of the BR HBC signal is measured from 10 cm to 30 cm. Then with the Faraday fabric shielding the transmitter, the interface leakage is measured again for comparison. Moreover, the on-body measurements are implemented with and without the Faraday fabric shield. The measurement results show that the Faraday fabric shield can reduce the leakage by 23.1~48.6 dB at 10 cm, and at 20 cm and 30 cm the leakage from the shielded transmitter is lower than −70 dB. The shield can reduce the channel gain of the on-body receiver by up to 20.41~40.88 dB and makes the leakage channel gain decrease by 10.1 ~ 22 dB more than the on-body scenario. The security benefit achieves the largest around the BR peak frequencies. Beyond the BR peak frequencies, the on-body receiver detects similar or even lower power than the off-body ones. Therefore, the human body plays a major role in the BR peak frequencies while beyond that the transmitter radiation is dominant in transmitting information in the BR HBC system.

关键词： Microwave measurement Radio transmitters Resonant frequency Biomedical measurement Gain measurement Fabrics Resonance

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Intelligent valve positioner control method based on Smith double fuzzy PID 2

Intelligent valve positioner control method based on Smith d...

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2nd International Conference on Artificial Intelligence and computer Information Technology, AICIT 2023

作者： Fan, Shaobo Li, Zicheng Wang, Mengtao School of Electrical and Information Engineering Wuhan Institute of Technology Wuhan China School of Computer and Artificial Intelligence Wuhan Institute of Technology Wuhan China

ISBN: (纸本)9798350302950

The valve positioner control system has the characteristics of nonlinear, time-varying, large inertia and pure hysteresis, etc. Aiming at the problems of the conventional PID control algorithm in its control process, such as not high control precision, slow response and poor robustness, a Smith double fuzzy PID compound control method is proposed. The working principle of the intelligent valve positioner is analyzed, and the control precision of the system is improved by combining the dual fuzzy controller and PID controller. The effect of time delay on system performance is improved by designing Smith predictor. The simulation results show that the control method can effectively reduce the overshoot in the control process, improve the system response speed, reduce the steady-state error, and has better robustness. Smith double-fuzzy PID composite control method has advantages and advanced in improving the control accuracy of the valve positioner system. © 2023 IEEE.

关键词： Controllers

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Microwave photonics

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Science China(Information Sciences) 2022年第12期65卷 49-112页

作者： Jianping YAO Jose CAPMANY Microwave Photonics Research Laboratory School of Electrical Engineering and Computer Science University of Ottawa ITEAM Research Institute Universitat Politècnica de València iPronics Programmable Photonics

Microwave photonics, an interdisciplinary field that combines microwave engineering and photonic technology for the generation, transmission, processing, and control of microwave signals, to take advantage of the broad bandwidth, high frequency, and low loss offered by modern photonics, has been intensively researched for the last few decades, and numerous solutions have been proposed and demonstrated. In this article, an overview about microwave photonics is provided which covers the basic concepts of microwave photonics, photonic-assisted microwave signal generation, photonic-assisted microwave signal processing, and true time delay beamforming. The implementation of microwave photonic systems based on photonic integrated circuits is also reviewed, including the design, fabrication, and material platforms, application-specific photonic integrated circuits for microwave photonics, and programmable integrated microwave *** challenges and future applications of microwave photonics are also discussed.

关键词： microwave photonics photonic integrated circuits microwave photonic link microwave photonic signal processor optoelectronic oscillator radio over fiber

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Increase Security by Analyzing Password Strength using Machine Learning 9

Increase Security by Analyzing Password Strength using Machi...

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Joint 9th International Conference on Digital Arts, Media and Technology with 7th ECTI Northern Section Conference on electrical, Electronics, computer and Telecommunications engineering, ECTI DAMT and NCON 2024

作者： Asaduzzaman, Abu D'Souza, Declan Uddin, Md Raihan Woldeyes, Yoel Wichita State University Department of Electrical and Computer Engineering WichitaKS United States Wichita State University School of Computing WichitaKS United States

ISBN: (纸本)9798350318241

Passwords (and login credentials) are pivotal in our daily online activities, securing 'things' including emails and e-wallets. Yet, users tend to recycle similar passwords across multiple services, posing a significant security threat. The prevalence of easily guessed passwords exacerbates the security issues. This study proposes a machine learning model leveraging Term Frequency - Inverse Document Frequency (TF-IDF) scores that helps develop stronger passwords by analyzing how frequently specific characters appear in passwords. The proposed methodology involves utilizing logistic regression and the 000WebHost leaked password wordlist for training and validation. The outcomes of the machine learning model accurately assess users' password strength, potentially bolstering the security of their diverse online accounts. © 2024 IEEE.

关键词： Machine learning

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