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A Novel Energy-Efficient Health Monitoring System With Electromagnetic-Reducing Dual-Band Antenna

IEEE Sensors Journal 2025年第10期25卷 18201-18212页

作者： Nguyen Thanh, Tam Chi Nguyen, Mai Thuy Le, Minh Quoc Dinh, Nguyen Cuong Nguyen, Quoc Nguyen, Kien Le-Minh, Hoa Le Quy Don Technical University Faculty of Radio Electronic Engineering Hanoi122300 Viet Nam Hanoi University of Science and Technology School of Electrical and Electronic Engineering Hanoi112400 Viet Nam Institute for Advanced Academic Research Chiba University Chiba263-8522 Japan Chiba University Graduate School of Informatics Chiba263-8522 Japan Northumbria University Department of Mathematics Physics Electrical Engineering Newcastle upon TyneNE1 8ST United Kingdom

This work presents a novel energy-efficient health monitoring system equipped with an electromagnetic-reducing dual-band antenna. The system features three adaptive measurement modes to save power consumption, Bluetooth low energy (BLE)/Wi-Fi communication, a health status display, and real-time alerts. This article introduces four contributions including: 1) a dual-band wearable antenna operating in the industrial, scientific, and medical (ISM) band;2) an electromagnetic band gap (EBG) layer that minimizes interaction between the antenna and the human body, reducing specific absorption rate (SAR) values and enhancing performance;3) a custom-built circuit comprising processing and power management modules;and 4) a dynamic algorithm that adjusts the measurement interval based on the patient’s condition. The EBG layer achieves a significant SAR reduction at 2.45 and 5.8 GHz, lowering values from 3.51 to 0.34 W/kg and 2.4 to 0.43 W/kg, respectively. Unlike traditional systems that rely on fixed monitoring cycles, this device can adaptively adjust its measurement frequency, reducing energy consumption by up to 80.1%. The system was tested and validated across four devices, a gateway, and a Thingsboard platform, achieving an improved signal-to-noise ratio (SNR) of 3–9 dB compared to commercial counterparts and a system latency of under 50 ms. © 2001-2012 IEEE.

关键词： Wearable antennas

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Physicochemical Properties and Cost-Benefit of Supplementing Signal Grass (Brachiaria decumbens) in Sasso Broilers Production

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BioResources 2025年第2期20卷 3176-3194页

作者： Seng, Kelly Wong Kai Zheng, Alvin Lim Teik Ong, Yee Lyn Lease, Jacqueline Andou, Yoshito Jesse, Faez Firdaus Abdullah Dunshea, Frank R. Chung, Eric Lim Teik Department of Agribusiness and Bioresource Economics Faculty of Agriculture Universiti Putra Malaysia UPM Selangor Serdang43400 Malaysia Department of Science and Technology Faculty of Humanities Management and Science Universiti Putra Malaysia Bintulu Campus Sarawak Bintulu97008 Malaysia Department of Animal Science Faculty of Agriculture Universiti Putra Malaysia UPM Selangor Serdang43400 Malaysia Department of Life Science and Systems Engineering Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology Fukuoka808-0196 Japan Department of Veterinary Clinical Studies Faculty of Veterinary Medicine Universiti Putra Malaysia UPM Selangor Serdang43400 Malaysia School of Agriculture Food and Ecosystem Faculty of Science The University of Melbourne ParkvilleVIC3010 Australia Faculty of Biological Science The University of Leeds LeedsLS2 9JT United Kingdom

There has been a growing interest in using natural alternatives to synthetic additives in animal feed. This study aimed to examine the physicochemical properties of signal grass (Brachiaria decumbens) and its cost-benefit application in broiler production. The characterization was performed using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), thermogravimetric/derivative thermogravimetry (TG/DTG), and scanning electron microscopy (SEM). A feeding trial involving 216 Sasso broiler chicks was conducted to assess the economic value of including B. decumbens grass meal in their diets. The chicks were divided into six groups, with Treatments 1 and 2 serving as controls (without antibiotics and with oxytetracycline, respectively). Treatments 3 to 6 received diets supplemented with 1.25, 2.50, 3.75, and 5.00 g/kg of B. decumbens grass meal without antibiotics. Body weight and feed intake were monitored over eight weeks to determine growth performance and feed conversion ratio. Broilers in Treatment 6, which received 5.00 g/kg of the grass meal, showed significantly improved growth (p © 2025, North Carolina State University. All rights reserved.

关键词： Fourier transform infrared spectroscopy

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Screening of Chinese giant salamander meat hydrolysates with DPP-Ⅳinhibitory activity and systematic elucidation of their hypoglycemic functions in mouse model

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Food science and Human Wellness 2025年第4期14卷 1305-1317页

作者： Shucheng Li Changge Guan Yi Wang Haihong Chen Wei Li Songjun Wang Chong Zhang Xinhui Xing Key Laboratory for Industrial Biocatalysis Ministry of Education of ChinaDepartment of Chemical EngineeringTsinghua UniversityBeijing 100084China School of Life Science and Technology Tokyo Institute of TechnologyYokohama 225-8501Japan Institute of Biopharmaceutical and Health Engineering Tsinghua Shenzhen International Graduate SchoolShenzhen 518055China Henan Giant Salamander Protection and Development Association Luoyang 471000China. Center for Synthetic and Systems Biology Tsinghua UniversityBeijing100084China Institute of Biomedical Health Technology and Engineering Shenzhen Bay LaboratoryShenzhen 518055China

Type 2 diabetes(T2D)presents a significant health challenge,underscoring the need for functional foods and nutraceutical hypoglycemic bioactive peptides for its *** study investigates the potential of proteolytic hydrolysate from artificially cultivated Chinese giant salamander(CGS)meat,a rich protein source,as a preventive strategy for *** produced a CGS meat hydrolysate(CGSh)and demonstrated its ability to inhibit the T2D drug target dipeptidyl peptidaseⅣ(DPP-Ⅳ)through in vitro *** identified 5 peptides(WRPPDH,WAPPSKD,IPDSPF,IPEMIF,and VPIAVPT)with high DPP-Ⅳinhibitory activity in CGSh,suggesting its potential antidiabetic *** vivo experiments showed that CGSh effectively reduced insulin resistance in mice induced with a high-fat diet,as evidenced by a slower increase in blood glucose levels and a decreased HOMA-IR index.16S rRNA sequencing analysis revealed that CGSh improved gut microbial homeostasis,promoting beneficial microorganisms and reducing harmful *** analyses identified an increase in valeric acid levels and highlighted nine potential biomarker *** inhibiting metabolic pathways such as AGE-RAGE,CGSh might also prevent diabetic complications and reduce *** findings suggest that CGSh has a promising hypoglycemic effect,making it a potential functional food ingredient for T2D prevention and treatment.

关键词： Chinese giant salamander Hypoglycemic effects Bioactive peptides Dipeptidyl dipeptidaseⅣ Multi-omics analysis

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Parameters Extraction of Photovoltaic Cell Using Particle Swarm Optimization 4th

Parameters Extraction of Photovoltaic Cell Using Particle Sw...

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4th International Conference on Electronic engineering and Renewable Energy systems, ICEERE 2024

作者： Chermite, Charaf Douiri, Moulay Rachid Elamri, Oumaymah Control and Computer Science for Intelligent Systems and Green Energy Department of Applied Physics Faculty of Science and Technology Cadi Ayyad University Marrakech Morocco LAMIGEP EMSI of Marrakech Systems and Applications Engineering Laboratory National School of Applied Sciences Cadi Ayyad University Marrakech Marrakesh Morocco

ISBN: (纸本)9789819799749

Extracting parameters accurately and effectively from solar photovoltaic (PV) models is crucial for detailed simulation, evaluation, and management of PV systems. Although there has been an increase in the development of analytical, numerical, and metaheuristic methods targeting this task, accurately determining these parameters continues to be a significant challenge. This study focuses on applying Particle Swarm Optimization (PSO) for the extraction of key parameters of RTC France solar cells, a critical step towards enhancing PV system efficiency and reliability. Additionally, the PSO's performance is evaluated against other metaheuristic algorithms including Enhanced Chaotic JAYA (CJAYA), Performance-Guided JAYA (PGJAYA), and Enhanced Gradient-Based Optimizer (EGBO), underscoring the effectiveness of the proposed PSO-based approach. Utilizing MATLAB-SIMULINK, comprehensive analysis and results are presented, shedding light on the efficacy of PSO in addressing the intricacies of parameter extraction in PV systems. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Particle swarm optimization (PSO)

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Velocity Estimation of an Underwater Vehicle Using Doppler Shift of Positioning Signals

Velocity Estimation of an Underwater Vehicle Using Doppler S...

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2025 IEEE Underwater Technology, UT 2025

作者： Tsuchiya, Atsushi Ebihara, Tadashi Wakatsuki, Naoto Yoshihara, Tohru University of Tsukuba Graduate School of Science and Technology Tsukuba Japan University of Tsukuba Institute of Systems and Information Engineering Tsukuba Japan Aomi Construction Co. Ltd. Technology Development Department Tokyo Japan

ISBN: (纸本)9798331534189

This paper proposes a method for estimating the moving velocity of underwater vehicles by utilizing the Doppler shift in positioning signals employed for time-of-arrival (ToA) acoustic positioning. The Doppler shift generated in the received signal was measured by resampling, and the moving velocity in global coordinates was estimated by finding the least-squares solution using the Doppler shift generated in the direct wave and the position measured by ToA positioning. Field experiments conducted in a real marine environment demonstrated the feasibility and effectiveness of the proposed velocity estimation method. © 2025 IEEE.

关键词： Underwater acoustics

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Real-time 3D Map Update at Point-level for LiDAR-based Localization in Changing Environments

Real-time 3D Map Update at Point-level for LiDAR-based Local...

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IEEE/SICE International Symposium on System Integration

作者： Yuhei Oshikubo Sarthak Pathak Yonghoon Ji Kazunori Umeda Precision Engineering Course Graduate School of Science and Engineering Chuo University Tokyo Japan Department of Precision Mechanics Faculty of Science and Engineering Chuo University Tokyo Japan Graduate School for Advanced Science and Technology Japan Advanced Institute of Science and Technology Nomi-shi Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

In this paper, a novel framework for real-time localization through pre-built map update by 3D LiDAR mounted on a robot is proposed. Autonomous mobile robots usually use high-precision 3D maps (i.e., HD maps) built in advance. However, as time passes, the environmental map changes from the actual environment, adversely affecting autonomous navigation. In addition, it is costly to recreate an HD map every time the environment changes. Therefore, it is necessary to update environmental maps simply and frequently. We propose a method for real-time map updating in the form of point clouds and validate the results of integrating map update with localization.

关键词： Point cloud compression Location awareness Three-dimensional displays Laser radar System integration Real-time systems Reliability Mobile robots Autonomous robots

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Vision-based Robotic Assembly from Novel Graphical Instructions

Vision-based Robotic Assembly from Novel Graphical Instructi...

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IEEE/SICE International Symposium on System Integration

作者： Chenxi Wang Zhenting Wang Takuya Kiyokawa Weiwei Wan Natsuki Yamanobe Kensuke Harada Department of Systems Innovation Graduate School of Engineering Science Osaka University Osaka Japan National Institute of Advanced Industrial Science and Technology (AIST) Tokyo Japan

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

For the purpose of performing robotic assembly from a novel graphical instruction, this paper proposes a new method for aligning assembly parts based on the visual information guided by the image in a graphical instruction manual. Our proposed method comprises two phases: We first detect an assembly part drawn in the instruction manual and then estimate its relative pose among multiple assembly parts to be assembled. For the detection of assembly parts, we build the matching algorithm based on fast-directional chamfer matching (FDCM) by utilizing multiple images of actual assembly parts captured from multiple angles. For the relative pose estimation, we collect the poses of the identified parts and match them with the assembly scenes in the graphical instruction manuals. We conducted collaborative assembly experiments between a human and a robot for a set of furniture parts. We confirmed that the captured images matched the graphics contained in the assembly manual well. In addition, we confirm that, with the help of a human, a robot can efficiently assemble furniture with a novel instruction manual.

关键词： Robotic assembly Visualization Accuracy Pose estimation Manuals System integration Robustness Assembly Robots Testing

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Mechanical and Geometric Properties of Nanosprings Based on Carbon Nanotubes with Dislocation Dipoles

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ACS Applied Nano Materials 2025年第18期8卷 9192-9200页

作者： Lei, Xiao-Wen Koyane, Jumpei Lu, Tong Matsuzaki, Kenichiro Yan, Yi Shi, Jin-Xing Fujii, Toshiyuki School of Materials and Chemical Technology Institute of Science Tokyo 2-12-1 Ookayama Meguro-ku Tokyo152-8550 Japan Department of Engineering Mechanics MIIT Key Laboratory of Dynamics and Control of Complex Systems Northwestern Polytechnical University Xi’an710072 China Department of Production Systems Engineering and Sciences Komatsu University Nu 1-3 Shicyomachi Ishikawa Komatsu923-8511 Japan

Carbon nanotubes (CNTs) are lightweight materials with excellent mechanical, electrical, and thermal conductivity, which make helical CNTs promising candidates for applications in mechanical components such as nanosprings. In this study, based on the continuous dislocation theory, we introduce dislocation dipoles into CNT with discrete crystal structures to design nanosprings, propose a method that integrates mechanics and geometry, and analyze the mechanical and geometric properties of nanosprings. In detail, this study investigated the feasibility of designing helical CNTs through spontaneous deformation induced by dislocation dipoles separated from Stone-Wales defects. Analytical models were constructed by systematically introducing dislocation dipoles into (4,4) CNTs of varying lengths. We combined mechanical and geometric methods, performed molecular dynamics simulations to obtain the stable structure of CNTs with dislocation dipoles, and employed differential geometry to investigate the Willmore energy of helically shaped CNTs. The results showed that when dislocation dipoles were introduced into straight CNTs, energy relaxation calculations demonstrated spontaneous deformation, leading to the formation of a spring-shaped CNT. The CNT length and dislocation type significantly affected the spring constant. Longer CNTs exhibited lower spring constants, and an increase in dislocation density led to a higher average potential energy. This study provides unique insights into the control of the CNT shape and mechanical and geometrical properties, contributing to the design of functional materials such as nanosprings. © 2025 The Authors. Published by American Chemical Society.

关键词： Geometry

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Robust Mean Field Social control: A Unified Reinforcement Learning Framework

arXiv

引用

arXiv 2025年

作者： Xu, Zhenhui Chen, Jiayu Wang, Bing-Chang Wu, Yuhu Shen, Tielong Department of Systems and Control Engineering The Institute of Science Tokyo Tokyo152-8552 Japan School of Control Science and Engineering Shandong University Jinan250061 China School of Control Science and Engineering Dalian University of Technology Dalian116024 China

This paper studies linear quadratic Gaussian robust mean field social control problems in the presence of multiplicative noise. We aim to compute asymptotic decentralized strategies without requiring full prior knowledge of agents’ dynamics. The primary challenges lie in solving an indefinite stochastic algebraic Riccati equation for feedback gains, and an indefinite algebraic Riccati equation for feedforward gains. To overcome these challenges, we first propose a unified dual-loop iterative framework that simultaneously handles both indefinite Riccati-type equations, and provide rigorous convergence proofs for both outer-loop and inner-loop iterations. Second, recognizing that biases may arise in iterative processes due to estimation and modeling errors, we analyze the robustness of the proposed algorithm by using the small-disturbance input-to-state stability technique. This ensures convergence to a neighborhood of the optimal solution, even in the existence of disturbances. Finally, to address the limitation of requiring precise knowledge of agents’ dynamics, we employ the integral reinforcement learning technique to develop a data-driven method within the dual-loop iterative framework. A numerical example is provided to demonstrate the effectiveness of the proposed algorithm. © 2025, CC BY-NC-ND.

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A distributed algorithm with network-independent step-size and event-triggered mechanism for economic dispatch problem

A distributed algorithm with network-independent step-size a...

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作者： Chen, Baitong Yang, Jianhua Lu, Wei Pedrycz, Witold Sun, Changhai School of Control Science and Engineering Dalian University of Technology Dalian China Department of Electrical and Computer Engineering University of Alberta EdmontonABT6G 2R3 Canada Institute of Systems Engineering Macau University of Science and Technology SARTaipa 999078 China Research Center of Performance and Productivity Analysis Istinye University Istanbul Turkey School of Electrical Engineering Dalian University of Technology Dalian China

The economic dispatch problem (EDP) poses a significant challenge in energy management for modern power systems, particularly as these systems undergo expansion. This growth escalates the demand for communication resources and increases the risk of communication failures. To address this challenge, we propose a distributed algorithm with network-independent step sizes and an event-triggered mechanism, which reduces communication requirements and enhances adaptability. Unlike traditional methods, our algorithm uses network-independent step sizes derived from each agent's local cost functions, thus eliminating the need for detailed network topology knowledge. The theoretical derivation identifies a range of step size values that depend solely on the objective function's strong convexity and the gradient's Lipschitz continuity. Furthermore, the proposed algorithm is shown to achieve a linear convergence rate, assuming the event triggering threshold criteria are met for linear convergence. Numerical experiments further validate the effectiveness and advantages of our proposed distributed algorithm by demonstrating its ability to maintain good convergence characteristics while reducing communication frequency. © 2024 John Wiley & Sons Ltd.

关键词： Cost functions

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