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22nd International Symposium on Power Electronics, Ee 2023

作者： Arbuzina, Arina Arkharova, Margarita Politsinsky, Alexander Demidova, Galina Garg, Akhil Poliakov, Nikolai Itmo University Faculty of Control Systems and Robotics St. Petersburg Russia School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9798350343175

Algorithms of evaluation battery state of charge (SoC) and power consumption should be implemented to electrical drive systems to control parameters of a battery. In the course of the work, the characteristic of discharge of the battery was obtained, the control system for a semiconductor step-up voltage converter for the battery management system (BMS) was developed, and the accuracy of the model was evaluated. A simulation model of the «PWM converter-DC drive» system with the battery was developed. Simulation results were compared with experimental data and conclusions were drawn about the possibility of determining the SoC of the battery. © 2023 IEEE.

关键词： Battery management systems

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Towards Depth-Continuous Scene Representation With a Displacement Field for Robust Light Field Depth Estimation

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IEEE Transactions on Multimedia 2025年 27卷 3637-3649页

作者： Chen, Rongshan Sheng, Hao Yang, Da Cong, Ruixuan Cui, Zhenglong Wang, Sizhe Wang, Tun Zhao, Mingyuan Beihang University State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and Engineering Beijing100191 China Beihang University Key Laboratory of Data Science and Intelligent Computing International Innovation Institute Hangzhou31 1115 China Macao Polytechnic University Faculty of Applied Sciences 999078 China

Light field (LF) captures both spatial and angular information of scenes, enabling accurate depth estimation. However, previous deep learning methods have typically model surface depth only, while ignoring the continuous nature of depth in 3D scenes. In this paper, we use displacement field (DF) to describe this continuous property, and propose a novel depthcontinuous scene representation for robust LF depth estimation. Experiments demonstrate that our representation enables the network to generate highly detailed depth maps with fewer parameters and faster speed. Specifically, inspired by signed distance field in 3D object description, we aim to exploit the intrinsic depth-continuous property of 3D scenes using DF, and define a novel depth-continuous scene representation. Then, we introduce a simple yet general learning framework for depth-continuous scene embedding, and the proposed network, DepthDF, achieves state-ofthe-art performance on both synthetic and real-world LF datasets, ranking 1st on the HCI 4D Light Field benchmark. Furthermore, previous LF depth estimation methods can also be seamlessly integrated into this framework. Finally, we extend this framework beyond LF depth estimation to various tasks, including multi-view stereo depth inference, LF super-resolution, and LF salient object detection. Experiments demonstrate improved performance when the continuous scene representation is applied, suggesting that our framework can potentially bring insights to more fields. © 1999-2012 IEEE.

关键词： Stereo image processing

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Opportunistic Division and Allocation of Machine Learning Task for WSN 14

Opportunistic Division and Allocation of Machine Learning Ta...

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14th International Conference on Ubiquitous and Future Networks, ICUFN 2023

作者： Hosonuma, Eri Tanaka, Nobuyuki Yamazaki, Takuma Taya, Akihito Nishiyama, Yuuki Sezaki, Kaoru Miyoshi, Takumi Yamazaki, Taku The University of Tokyo Institute of Industrial Science Tokyo Japan Collage of Systems Engineering and Science Shibaura Institute of Technology Saitama Japan Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan The University of Tokyo Center for Spatial Information Science Chiba Japan

ISBN: (纸本)9798350335385

Machine learning (ML)-applied sensing systems are widely deployed in real environments in the research and development of wireless sensor networks (WSNs). However, in these systems, the central server must deal with the large amounts of sensing data and high processing costs to execute ML tasks. To deal with these issues, in-network processing methods of ML tasks have been proposed for WSNs. However, their main focus is to decide the division points and allocation strategy of ML tasks, and therefore they do not consider the routing algorithm in distributed environments. This paper proposes an opportunistic division and allocation method of ML tasks in distributed WSN environments that does not rely on a specific path. In the proposed method, each node autonomously makes a forwarding decision based on the remaining computational resource and hop count to distribute the computational load while considering the number of relays. A simulation was performed, and it revealed that the proposed method can appropriately allocate the computational processes of ML tasks and distribute them to WSN nodes. © 2023 IEEE.

关键词： Machine learning

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Analysis of Feature Parameters and Their Time-Transition for Shockable Arrhythmia and Prediction of the Effect of Electrical Defibrillation 3

Analysis of Feature Parameters and Their Time-Transition for...

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3rd IEEE Industrial Electronics Society Annual On-Line Conference, ONCON 2024

作者： Noguchi, Shunta Yoshikawa, Yuta Okai, Takayuki Oya, Hidetoshi Rahman, Md. Masudur Yoshida, Minoru Graduate School of Integrative Science and Engineering Tokyo City University Tokyo Japan Tokyo City University Department of Computer Science Tokyo Japan Noakhali Science and Technology University Department of Information and Communication Engineering Bangladesh Kanagawa University Department of Applied Systems and Mathematics Kanagawa Japan

ISBN: (纸本)9798331540319

In this paper, we propose a prediction system of the effect of electrical defibrillation. In order to develop the proposed system, we firstly analyze from pre-shock (immediately before defibrillation) ECGs (ElectroCardioGrams) by using Gabor Wavelet Transform, Poincaré plot analysis, Spectral entropy, and feature parameters are extracted by those extracted analysis results, we focus on time-transition feature parameter. Next, effective feature parameters are selected based on χ2 -test. Finally, 'Effective' and 'Ineffective' for electrical defibrillation are classified by using SVM (Support Vector Machine) with three kernels (Linear, Gaussian, and Polynomial) and regularization. In this way, we shows the effectiveness of the proposed feature extraction methods and prediction system. © 2024 IEEE.

关键词： Support vector machines

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Direct and green repairing of degraded LiCoO2 for reuse in lithium-ion batteries

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National science Review 2022年第8期9卷 127-137页

作者： Junxiong Wang Qi Zhang Jinzhi Sheng Zheng Liang Jun Ma Yuanmao Chen Guangmin Zhou Hui-Ming Cheng Shenzhen Geim Graphene Center Tsinghua-Berkeley Shenzhen Institute&Tsinghua Shenzhen International Graduate SchoolTsinghua University Frontiers Science Center for Transformative Molecules School of Chemistry and Chemical EngineeringShanghai Jiao Tong University Faculty of Materials Science and Engineering/Institute of Technology for Carbon Neutrality Shenzhen Institute of Advanced TechnologyChinese Academy of Sciences

Traditional recycling processes of LiCoO2rely on destructive decomposition, requiring high-temperature roasting or acid leaching to extract valuable Li and Co, which have significant environmental and economic concerns. Herein, a direct repairing method for degraded LiCoO2using a LiCl–CH4N2O deep eutectic solvent（DES） was established. The DES is not used to dissolve LiCoO2but directly serves as a carrier for the selective replenishment of lithium and cobalt. Replenishment of lithium restores LiCoO2at different states of charge to a capacity of 130 m Ah/g（at 0.1 C rate）, while replenishing the cobalt increases the capacity retention rate of 90% after 100 cycles, which is comparable to pristine LiCoO2. The DES is collected and reused multiple times with a high repair efficiency. This process reduces energy consumption by 37.1% and greenhouse gas emissions by 34.8% compared with the current production process of LiCoO2, demonstrating excellent environmental and economic viability.

关键词： spent cathodes lithium-ion batteries LiCoO2 direct repair deep eutectic solvent lattice distortion

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Comparison of noise assessment models under a semi-infinite thick barrier configuration: ASJ RTN-Model, Harmonoise and CNOSSOS-EU 24

Comparison of noise assessment models under a semi-infinite ...

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24th International Congress on Acoustics, ICA 2022

作者： Oshima, Takuya Takeda, Fumiya Faculty of Engineering Niigata University Japan Graduate School of Science and Technology Niigata University Japan

Through Directive 2002/49/EC, the European Union has mandated to its member states to draw strategic noise maps using an environmental noise assessment model and implement action plans to reduce the noise exposure of residents in urban areas. To implement a similar noise policy in Japan, a noise assessment model to draw a noise map needs to be developed first. The ASJ RTN-Models, developed by the Acoustical Society of Japan, are good candidates but their characteristics with comparison to the European assessment models need to be investigated. In the current study, the ASJ models are compared with Harmonoise and CNOSSOS-EU under the configuration of a semi-infinite thick barrier along a straight source road. In a case of point-to-point propagation to the shadow zone, the energy gain by the reflection at the top of the barrier is found to be included in the diffraction attenuation in the ASJ models and CNOSSOS-EU, whereas in the ground attenuation in Harmonoise. The equivalent continuous sound pressure level of the ASJ RTN-Model 2018 is found to be generally 1-2 dB smaller than the other models in the non-shadow zone, whereas 5-10 dB smaller at the shadow zone. © ICA *** rights reserved

关键词： Noise assessment model Point-to-point propagation Shadow zone

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Reversible Data Hiding With Secret Encrypted Image Sharing and Adaptive Coding

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IEEE Internet of Things Journal 2025年第13期12卷 23933-23945页

作者： Fang, Guangtian Wang, Feng Zhao, Chenbin Qin, Chuan Chang, Ching-Chun Chang, Chin-Chen Fujian University of Technology College of Computer Science and Mathematics Fuzhou350118 China Fujian University of Technology College of Computer Science and Mathematics Key Laboratory of Big Data Mining and Applications Fuzhou350118 China Monash University Faculty of IT Department of Software Systems and Cybersecurity VIC3800 Australia Ministry of Education School of Cyber Science and Engineering Key Laboratory of Aerospace Information Security and Trusted Computing Wuhan430072 China University of Shanghai for Science and Technology School of Optical-Electrical and Computer Engineering Shanghai200093 China Feng Chia University Information and Communication Security Research Center Taichuang 40724 Taiwan Feng Chia University Department of Information Engineering and Computer Science Taichung40724 Taiwan

To ensure the security of image information and facilitate efficient management in the cloud, the utilization of reversible data hiding in encrypted images (RDHEI) has emerged as pivotal. However, most existing RDHEI schemes suffer from lower security and limited embedding capacity. To tackle these challenges, we propose a reversible data hiding with secret encrypted image sharing and adaptive coding scheme. Specifically, in the encryption phase, we introduce an improved secret sharing (SS) encryption method based on the chinese remainder theorem for polynomials (CRTP). This method not only improves the security of encrypted images but also vacates a larger room for embedding. In the embedding phase, we introduce an adaptive coding embedding approach using XOR preservation (XORP) and huffman coding, which provides high embedding capacity. Experimental results and security analysis demonstrate that our proposed encryption method achieves optimal values in security indicators for encrypted images, such as information entropy, histograms, NPCR and UACI. The proposed embedding method is superior to some state-of-the-art schemes in terms of embedding capacity. Furthermore, in datasets BOSSBase and BOWS2, the average embedding rates of the proposed embedding approach can reach 2.1745 bpp and 2.0656 bpp, respectively. © 2025 IEEE.

关键词： Cryptography Encryption Security Data mining Adaptive coding Correlation Cloud computing Polynomials Image coding Streaming media

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Verification of the Inactivation Effect of Near-UV LEDs using a Pulsed Lighting System on Staphylococcus aureus

Verification of the Inactivation Effect of Near-UV LEDs usin...

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2024 IEEE Sustainable Smart Lighting World Conference and Expo, LS24 2024

作者： Nomura, Hiroki Kihara, Seiji Zukeran, Akinori Sawai, Jun Misu, Takayuki Kanagawa Institute of Technology Graduate School of Engineering Master's Degree Program in Electrical and Electronic Engineering Atsugi Kanagawa243-0292 Japan Kanagawa Institute of Technology Faculty of Engineering Department of Electrical and Electronic Engineering Atsugi Kanagawa243-0292 Japan Kanagawa Institute of Technology Faculty of Health and Medical Sciences Department of Nutrition and Life Science Atsugi Kanagawa243-0292 Japan

ISBN: (纸本)9798331540197

The purpose of this study is to investigate the disinfection effect of Near-UV LED light, which is pulsed using PWM control, on Staphylococcus aureus. To evaluate the disinfection effect of Near-UV LED light, three types of Near-UV LEDs with wavelengths of 395 nm, 385 nm, and 365 nm were installed within a sealed space inside an incubator and energized with a forward current of 1000 mA and a forward voltage of 3.6 V, and the disinfection rate under each type of light was assessed. Additionally, the disinfection effect was evaluated when the same three types of Near-UV LEDs were pulsed with a 50% duty cycle. As a result, 100% disinfection was achieved with 365 nm Near-UV LED direct-current irradiation for 120 seconds, and a 93% disinfection rate was obtained with pulsed irradiation for 150 seconds. © 2024 IEEE.

关键词： Light emitting diodes

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Recent progress in upgrading metallurgical-grade silicon to solar-grade silicon via pyrometallurgical routes

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International Journal of Minerals,Metallurgy and Materials 2022年第4期29卷 767-782页

作者： Yun Lei Xiaodong Ma Ye Wang Zhiyuan Chen Yongsheng Ren Wenhui Ma Kazuki Morita Faculty of Metallurgical and Energy Engineering Kunming University of Science and TechnologyKunming 650093China Sustainable Minerals Institute The University of QueenslandSt Lucia 4072QLDAustralia School of Chemical Engineering Sichuan UniversityChengdu 610065China Separation and Conversion Technology Flemish Institute for Technological ResearchMol 2400Belgium Department of Materials Engineering Graduate School of EngineeringThe University of TokyoTokyo 113-8656Japan

Si-based photovoltaic solar power has been rapidly developed as a renewable and green energy *** widespread use of Sibased solar cells requires large amounts of solar-grade Si(SoG-Si)to manufacture Si *** routes,mainly the modified Siemens process,have dominated the preparation of polycrystalline SoG-Si;however,traditional chemical techniques employ a series of complex chemical reactions involving various corrosive and hazardous *** addition,large amounts of complex waste solar cells and Si kerf slurry waste gradually accumulate and are difficult to recycle using these *** methods are required to meet the demand for SoGSi preparation and Si waste *** metallurgical route shows promise but is hindered by the problem of eliminating B and P from metallurgical-grade Si(MG-Si).Various pyrometallurgical treatments have been proposed to enhance the removal of B and P from *** article reviews Si refining with slag treatment,chlorination,vacuum evaporation,and solvent refining,and summarizes and discusses the basic principles and recent representative studies of the four *** these,solvent refining is the most promising and environmentally friendly approach for obtaining low-cost SoG-Si and is a popular research ***,a simple and green approach,i.e.,a combination of solvent refining,slag treatment,or vacuum directional solidification,is proposed for low-cost SoG-Si preparation using MG-Si or Si wastes as raw materials.

关键词： silicon refining solar-grade silicon solvent refining vacuum evaporation slag treatment Si kerf slurry waste

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Non-contact Assessment of Cardiovascular and Thermoregulatory Function during Exercise after Sleep Deprivation 46

Non-contact Assessment of Cardiovascular and Thermoregulator...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Fumimoto, Kanaru Okada, Shima Manno, Masanobu Sakaue, Yusuke Makikawa, Masaaki Ritsumeikan University Graduate School of Science and Engineering Shiga Japan Ritsumeikan University Faculty of Science and Engineering Department of Robotics Shiga Japan Ritsumeikan University Ritsumeikan Global Innovation Research Organization Shiga Japan Ritsumeikan University Research Organization of Science and Technology Shiga Japan

ISBN: (纸本)9798350371499

The number of deaths due to heat stroke has been increasing rapidly in recent years, and it is predicted that by 2050 there will be 2.5 times as many deaths as at present. One of the major causes of heat stroke is loss of autonomic nervous system activity. Autonomic nervous system activity is a function of thermoregulation as well as cardiovascular regulation. However, the only index mainly used to control body condition is the cardiovascular index centering on heart rate. In addition, a noncontact, easy-to-use measurement system is needed for daily physical condition management. The purpose of this study was to evaluate autonomic nervous system activity in terms of both cardiovascular and thermoregulatory functions. We also aimed to construct a system that can measure these functions in a noncontact manner. To observe the effects of autonomic nervous system dysfunction more clearly, the subjects were asked to exercise. We focused on cutaneous blood vessels, which are commonly involved in cardiovascular and thermoregulatory functions. For the measurement of skin blood vessels, we used an index called the G/B ratio, which we have been developing for some time. This system uses differences in light absorbance to extract the contraction and dilation characteristics of facial capillaries. As a validation experiment, an exercise task using a bicycle ergometer was performed. The exercise intensity was set at 40% and calculated using the Karvonen method. Two conditions were used: normal sleep (control) and sleep deprivation for more than 24 hours (SD) to create a state of autonomic inactivity. The following parameters were measured: heart rate, blood pressure, peripheral vascular resistance, and cardiac output as cardiovascular indices, and deep body temperature, skin temperature, and facial animation as thermoregulatory indices. The G/B ratio also showed different variations between the control and SD conditions. The G/B ratio also varied differently between the control a

关键词： Blood vessels

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