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MHz-Driven Snubberless Soft-Switching Current-Fed Multiresonant DC-DC Converter

IEEE Transactions on Power Electronics 2024年第7期39卷 8404-8416页

作者： Mishima, Tomokazu Liu, Shiqiang Taguchi, Ryotaro Lai, Ching-Ming Kobe University Division of Marine Technologies and Engineering Faculty of Oceanology Hyogo657-8501 Japan National Chung Hsing University Division of Electric Engineering Faculty of Engineering Taichung402 Taiwan

A new multiresonant step-up dc-dc converter is proposed in this article, which is suitable for obtaining a high dc-dc voltage ratio with minimizing the counts of active and passive components. The proposed dc-dc converter features the snubberless zero current soft-switching (ZCS) commutation with megahertz (MHz) high-frequency driving of galliumnitride-high electron mobility transistor-based two-phase class-E inverters by adopting quasi resonance and dual parallel load resonance;multiresonant circuitry. The circuit configuration and operation principle are described together with the theory of switch-mode transitions and steady-state power transfer. A frequency-domain analysis is provided on the basis of the equivalent circuit, and the design guideline of multiresonant tanks is provided in details. The essential performances of the proposed dc-dc converter are demonstrated by experiment of a rm 1-rm 2MHz / rm 120W prototype;ZCS operations are confirmed over the wide range of load variations (rm 40%-rm 100%) with maximum efficiency rm 91.3% at rm 86.5% load, electro magnetic interference noise reduction rm 29%-rm 79% as compared to hard switching, and the voltage ratio 1.5 times higher than the nonmultiresonant topology, and less than rm 1% low-current ripple factor in the dc inductor. © 1986-2012 IEEE.

关键词： DC-DC converters

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Zero-dynamics attack detection based on data association in feedback pathway

Cognitive Robotics

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Cognitive Robotics 2025年 5卷 126-139页

作者： Zhang, Zeyu Li, Hongran Todo, Yuki Division of Electrical Engineering and Computer Science Kanazawa University Ishikawa Kanazawa9201192 Japan School of Computer Engineering Jiangsu Ocean University Jiangsu Lianyungang222005 China Faculty of Electrical Information and Communication Engineering Kanazawa University Ishikawa Kanazawa9201192 Japan

This paper considers the security of non-minimum phase systems, a typical kind of cyber-physical systems. Non-minimum phase systems are characterized by unstable zeros in their transfer functions, making them particularly susceptible to disturbances and attacks. The non-minimum phase systems are more vulnerable to zero-dynamics attack (ZDA) than minimum phase systems. ZDA is a stealthy attack strategy that exploits the internal dynamics of a system, remaining undetectable while causing gradual system destabilization. Recent cyber incidents have demonstrated the increasing risk of such hidden attacks in critical infrastructures, such as power grids and transportation systems. This paper first demonstrates that the existing ZDA has the limitation of falling into local convergence, and then proposes an enhanced zero-dynamics attack (EZDA), which overcomes local convergence by diverging system data. Furthermore, this paper presents an autoregressive model which can build the data association between the original data and the forged data. By observing the fluctuations in state values, the presented model can detect not only ZDA, but also EZDA. Finally, numerical simulations and an application example are provided to verify the theoretical results. © 2025

关键词： Cyber attacks

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Contactless monitoring of human behaviors in bed using RSSI signals

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Medical and Biological engineering and Computing 2023年第10期61卷 2561-2579页

作者： Thammachote, Peeradon Intongkum, Chawakorn Sengchuai, Kiattisak Jindapetch, Nattha Phukpattaranont, Pornchai Saito, Hiroshi Booranawong, Apidet Department of Electrical Engineering Faculty of Engineering Prince of Songkla University Songkhla90110 Thailand Division of Computer Engineering The University of Aizu Aizu-Wakamatsu965-8580 Japan

In this paper, contactless monitoring and classification of human activities and sleeping postures in bed using radio signals is presented. The major contribution of this work is the development of a contactless monitoring and classification system with a proposed framework that uses received signal strength indicator (RSSI) signals collected from only one wireless link, where different human activities and sleep postures, including (a) no one in the bed, (b) a man sitting on the bed, (c) sleeping on his back, (d) seizure sleeping, and (e) sleeping on his side, are tested. With our proposed system, there is no need to attach any sensors or medical devices to the human body or the bed. That is the limitation of the sensor-based technology. Additionally, our system does not raise a privacy concern, which is the major limitation of vision-based technology. Experiments using low-cost, low-power 2.4 GHz IEEE802.15.4 wireless networks have been conducted in laboratories. Results demonstrate that the proposed system can automatically monitor and classify human sleeping postures in real time. The average classification accuracy of activities and sleep postures obtained from different subjects, test environments, and hardware platforms is 99.92%, 98.87%, 98.01%, 87.57%, and 95.87% for cases (a) to (e), respectively. Here, the proposed system provides an average accuracy of 96.05%. Furthermore, the system can also monitor and separate the difference between the cases of the man falling from his bed and the man getting out of his bed. This autonomous system and sleep posture information can thus be used to support care people, physicians, and medical staffs in the evaluation and planning of treatment for the benefit of patients and related people. Graphical Abstract: The proposed system for non-invasive monitoring and classification of human activities and sleeping postures in bed using RSSI signals [Figure not available: see fulltext.] © 2023, International Federation for Med

关键词： Patient treatment

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Implementation and experimental evaluation of dynamic capabilities in wireless body area networks: different setting parameters and environments

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Journal of engineering and Applied Science 2023年第1期70卷 1页

作者： Thippun, Pitchakron Sasiwat, Yoschanin Buranapanichkit, Dujdow Booranawong, Apidet Jindapetch, Nattha Saito, Hiroshi Department of Electrical Engineering Faculty of Engineering Prince of Songkla University Hat Yai90110 Thailand Division of Computer Engineering The University of Aizu Aizu-Wakamatsu965-8580 Japan

It is well known that a wireless body area network (WBAN) is a special proposed wireless sensor network (WSN) that can assist in monitoring physiological signals for the evaluation and planning of patient treatment. One of the most challenging issues for WBANs is communication reliability, with acceptable communication efficiency and packet loss. To obtain such network characteristics, collision-free data transmission in networks of wireless sensor nodes is an interesting research problem. In this paper, the experiments of dynamic capabilities in several WBAN scenarios are focused, where the novelty and major contribution of our tests is that the effects of packet inter-arrival times, packet sizes, and the number of nodes deployed in the network, including human movements, indoor and outdoor environments, and transmitter and receiver positions, are all taken into consideration and evaluated. This is achieved by implementing the WBAN using IEEE 802.15.4 low-power sensor nodes. Experimental results illustrate the significant factors that impact the communication reliability of WBANs as measured by the packet delivery ratio (PDR). The experimental results show that the diverse environment testbed can affect network performance for WBAN data transmission. Our findings also show that the best network reliability needs to be set at more than 15 ms in packet interval time to achieve over 90% PDR for every test scenario. More details of the experimental results related to WBAN reliability obtained from all test cases are also discussed and summarized in the paper. To the best of our knowledge, our findings can be useful for users and researchers to consider the optimal point for WBAN setting and configuration to achieve the communication reliability requirements and also to deploy and develop a more reliable WBAN system. © 2023, The Author(s).

关键词： Data transfer

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A Dual-transformer Series Resonant Converter with Wide ZVS Range and Minimized RMS Current Operation

IEEE Open Journal of Industry Applications

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IEEE Open Journal of Industry Applications 2025年 6卷 281-294页

作者： Li, Yinan Hu, Song Sun, Chuan Li, Peiwen Nie, Wanlin Wen, Huiqing Rathore, Akshay Li, Xiaodong Macau University of Science and Technology Faculty of Innovation Engineering China Changshu Institute of Technology School of Electrical Engineering and Automation Suzhou China Xi'an Jiaotong-Liverpool University Suzhou China Singapore Institute of Technology Electric Power Engineering Division Singapore

To improve the operation efficiency under various conversion gains, a series resonant DC-DC converter is proposed in this article for renewable power generation application, which adopts a dual-transformer structure and employs an asymmetrical modulation scheme. Firstly, the operation principle of the converter and the modulation scheme is analyzed. As a result, the steady-state characteristics expressions are solved, including the resonant tank current and transmission power. To reduce the high-frequency switching loss, the additional parameter of dual-transformer structure, which is defined as the ratio of two high-frequency transformers, can be tuned to widen zero voltage switching (ZVS) range on both sides. Furthermore, Lagrange Multiplier Method (LMM) is applied to minimize the rms current to reduce the conduction loss. With full ZVS range operation and minimized rms current, the overall efficiency of the proposed converter can be enhanced. Finally, the performance of the proposed converter with the adopted control scheme is evaluated with the experimental results on a 400W lab prototype converter © 2020 IEEE.

关键词： DC transformers

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Photodiode and Analog-Front-End Circuit Design for Wearable Vital Sensing System with Fiber-Bragg-Grating Sensor

Photodiode and Analog-Front-End Circuit Design for Wearable ...

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2023 International Symposium on Devices, Circuits and Systems, ISDCS 2023

作者： Kano, Kaede Johguchi, Koh Graduare School of Science and Technology Shinshu University Electrical and Computer Engineering Division Department of Engineering Nagano Japan Shinshu University Electrical and Computer Engineering Division Faculty of Engineering Nagano Japan

ISBN: (纸本)9798350315042

A prototype of wearable vital sensing system has been developed with Fiber-Bragg-Gratings senor and 180-nm CMOS image sensor process chip. The system can acquire vital signs by capturing reflecting light with a photodiode. The designed test chip contains two types analog-front-end circuit. The feasibility for a vital sensing was verified with measurements with both of current-voltage conversion type and integral analog-to-digital convertor type. © 2023 IEEE.

关键词： Photodiodes

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Blockchain-Based Revocable Key-Aggregate Searchable Encryption for Group Data Sharing in Cloud-Assisted Industrial IoT

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IEEE Internet of Things Journal 2025年第11期12卷 16899-16911页

作者： Zhang, Kai Hu, Xinyi Zhao, Jian Wei, Lifei Ning, Jianting Shanghai University of Electric Power College of Computer Science and Technology Shanghai China Shanghai University of Electric Power College of Electrical Engineering Shanghai China Shanghai Maritime University College of Information Engineering Shanghai China Wuhan University School of Cyber Science and Engineering Wuhan430072 China City University of Macau Faculty of Data Science China

In the cloud-assisted Industrial Internet of Things (IIoT), flexible and secure data sharing promotes industry processes optimization and new products-making. To enable selective data retrieval over categorized data collected by IoT devices in the encryption domain, key-aggregate searchable encryption (KASE) is adopted for group data sharing in Industrial IoT due to efficient management of encryption keys. Nonetheless, existing solutions rarely consider user revocation property and suffered from the following limitations: (i) the user revocation needs interaction process between data owner and cloud;(ii) the non-revoked users may be accidentally revoked. Therefore, we propose a blockchain-based revocable KASE system (BC-RKASE) that achieves non-interactive user revocation and trusted revoked user management. Technically, the result is non-trivially obtained from revisiting the generation of aggregate keys and key updates via secret sharing, along with re-designing trapdoor adjustment and providing public verifiable proof for key updates by public blockchain. Besides formal security analysis, we conduct extensive experiments in a real cloud environment and thin IoT devices (Raspberry Pi) using a public IIoT dataset to confirm the practical performance of BC-RKASE. In particular, BC-RKASE outperforms state-of-the-art schemes with 13.4×~15× time efficiency accelerating for data retrieval and runs more than 16× faster for user revocation. © 2025 IEEE.

关键词： Industrial Internet of Things Cloud computing Aggregates Encryption Blockchains Permission Cryptography Data retrieval Production facilities Costs

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Extended-Attention Applied in Selected Stages 7

Extended-Attention Applied in Selected Stages

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7th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2024

作者： Zhang, Zeyu Todo, Yuki Kanazawa University Division of Electrical Engineering and Computer Science Kanazawa Japan Kanazawa University Faculty of Electrical Information and Communication Engineering Kanazawa Japan

ISBN: (纸本)9798350350890

The Self-attention mechanism was widely applied in computer Vision (CV) field. However, while Self-attention mechanism brings high accuracy to Transformer, it also brings a huge amount of calculation. To further enhance accuracy and decrease computational load, in this paper, two refinements were implemented. Firstly, two matrices were introduced to enhance the extraction of image information for Extended-attention method. The capacity of Transformer was enhanced by these matrices to capture crucial information in complex tasks, the final accuracy and generalization performance were significantly improved. Secondly, the impact of implementing the aforementioned Self-attention mechanism at various stages of the Transformer is investigated. Intriguingly, our findings reveal that selectively implementing this method at specific stages leads to a significant enhancement in the model's performance. © 2024 IEEE.

关键词： Deep learning Different Stages Self-attention Transformer

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Design,simulation,and testing of a tunable MEMS multi-threshold inertial switch

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Microsystems & Nanoengineering 2024年第2期10卷 37-46页

作者： Qiu Xu Rodrigo T.Rocha Yousef Algoos Eric Feron Mohammad I.Younis Faculty of Electronic Information Engineering Huaiyin Institute of TechnologyHuai’an223003PR China Computer Electrical and Mathematical Science and Engineering DivisionKing Abdullah University of Science and TechnologyThuwal23955-6900Saudi Arabia Piezoelectric Microsystem Technologies Silicon Austria LabsVillach9524Austria Physical Sciences and Engineering Division King Abdullah University of Science and TechnologyThuwal23955Saudi Arabia Mechanical Engineering Department State University of New YorkBinghamtonNY13902USA

This paper presents a tunable multi-threshold micro-electromechanical inertial switch with adjustable threshold *** demonstrated device combines the advantages of accelerometers in providing quantitative acceleration measurements and g-threshold switches in saving power when in the inactive state upon experiencing acceleration below the *** designed proof-of-concept device with two thresholds consists of a cantilever microbeam and two stationary electrodes placed at different positions in the sensing *** adjustable threshold capability and the effect of the shock duration on the threshold acceleration are analytically investigated using a nonlinear beam *** are shown for the relationships among the applied bias voltage,the duration of shock impact,and the tunable *** fabricated prototypes are tested using a shock-table *** analytical results agree with the experimental *** designed device concept is very promising for the classification of the shock and impact loads in transportation and healthcare applications.

关键词： tunable acceleration testing

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A MLP-Mixer and mixture of expert model for remaining useful life prediction of lithium-ion batteries

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Frontiers of computer Science 2024年第5期18卷 1-10页

作者： Lingling ZHAO Shitao SONG Pengyan WANG Chunyu WANG Junjie WANG Maozu GUO Faculty of Computing Harbin Institute of TechnologyHarbin 150001China School of Electrical Engineering Liaoning University of TechnologyJinzhou 121004China School of Computer Science Northeast Electric Power UniversityJilin 132000China Department of Medical Informatics School of Biomedical Engineering and InformaticsNanjing Medical UniversityNanjing 211166China School of Electrical and Information Engineering Beijing University of Civil Engineering and ArchitectureBeijing 100044China

Accurately predicting the Remaining Useful Life(RUL)of lithium-ion batteries is crucial for battery management *** learning-based methods have been shown to be effective in predicting RUL by leveraging battery capacity time series ***,the representation learning of features such as long-distance sequence dependencies and mutations in capacity time series still needs to be *** address this challenge,this paper proposes a novel deep learning model,the MLP-Mixer and Mixture of Expert(MMMe)model,for RUL *** MMMe model leverages the Gated Recurrent Unit and Multi-Head Attention mechanism to encode the sequential data of battery capacity to capture the temporal features and a re-zero MLP-Mixer model to capture the high-level ***,we devise an ensemble predictor based on a Mixture-of-Experts(MoE)architecture to generate reliable RUL *** experimental results on public datasets demonstrate that our proposed model significantly outperforms other existing methods,providing more reliable and precise RUL predictions while also accurately tracking the capacity degradation *** code and dataset are available at the website of github.

关键词： lithium-ion battery remaining useful life deep learning MLP-Mixer mixture-of-experts

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