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6th International Conference on Biomedical and Health Informatics, ICBHI 2024

作者： Ono, Kouki Maeda, Yuka Yoshimura, Takumi Huang, Ming Tamura, Toshiyo Master’s Program in Intelligent and Mechanical Interaction Systems University of Tsukuba Tsukuba305-8577 Japan Institute of Systems and Information Engineering University of Tsukuba Tsukuba305-8577 Japan Medical and Welfare Engineering Tokyo Metropolitan College of Industrial Technology Tokyo116-8523 Japan School of Data Science Nagoya City University Nagoya467-8501 Japan Future Robotics Organization Waseda University Tokyo169-8050 Japan

ISBN: (纸本)9783031863226

Continuous blood pressure monitoring is crucial because of its dynamic nature, influenced by factors such as physical activity and mental stress. Although cuffless blood pressure estimation is a promising technique for continuous monitoring, its accuracy during drastic fluctuations, especially during exercise, remains insufficiently validated. In this study, we evaluated a simple Pulse Arrival Time based blood pressure estimation method and several improved methods for sharp fluctuations induced by exercise. Sixteen subjects in the experiment, with data from 13 valid for analysis. The proposed method achieved an average correlation of 0.527 in systolic blood pressure, suggesting that cuffless blood pressure estimation could be applied to estimate continuous blood pressure variability during exercise. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Blood pressure

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Revolutionizing Marine Stability: A Review of Cutting-Edge Gyro Stabilizer Designs and Techniques for Vessels

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IEEE Access 2025年 13卷 89542-89555页

作者： Rahiman, Wan Ghazali, Mohamad Hazwan Mohd Mahmood, Iskandar Al-Thani Universiti Sains Malaysia Engineering Campus School of Electrical and Electronic Engineering Penang Nibong Tebal14300 Malaysia Daffodil International University Daffodil Robotics Lab Department of Computer Science and Engineering Dhaka1216 Bangladesh Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Department of Mechanical and Manufacturing Engineering Selangor Bangi43600 Malaysia PETRONAS Research Sdn Bhd Selangor Kajang43000 Malaysia

Advancement in marine vessel stabilization technologies has greatly improved the safety and comfort for crews, cargo, and passengers, while also lowering the risk of capsizing. Marine vessels operating in open waters experience disturbances from unpredictable waves and strong winds, leading to instability and potential accidents. To mitigate these risks, stabilizers are integrated into ships to maintain stability, safety, and seaworthiness. As modern vessels evolve, stabilizers play an increasingly vital role, with gyro stabilizers emerging as a highly effective solution for mitigating roll motion without external appendages. This paper provides a comprehensive review of gyro stabilizer designs and techniques, covering their historical development, mathematical modeling, advantages, limitations, and case studies. A review of current research highlights a strong emphasis on simulating gyro stabilizer control systems, demonstrating their potential in enhancing vessel stability. However, key challenges persist, including accurate wave moment prediction during the design phase and gyroscopic drift, which can impact long-term performance and efficiency. Despite these challenges, recent advancements in control algorithms and optimization techniques have improved gyro stabilizer adaptability under varying sea conditions. By exploring the latest developments, this review serves as a valuable reference for researchers, engineers, and maritime professionals seeking to advance marine stabilization technologies. The findings underscore the potential of next-generation gyro stabilizers, including fiber optic gyros, in achieving higher precision, stability, and operational efficiency. © 2013 IEEE.

关键词： Warships

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Response of unsteady thermocapillary convection to local heating at specific depths in a thin liquid film

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Chemical engineering Science 2025年 314卷

作者： Kudo, Masaki Igarashi, Keita Mechanical Systems Engineering Program Monozukuri Engineering Department Tokyo Metropolitan College of Industrial Technology 10-40 Higashi-oi 1-chome Tokyo Shinagawa City140-0011 Japan

A hydrothermal wave (HTW) refers to a flow pattern that arises during unsteady thermocapillary convection, negatively impacting the purity of single crystals during zone melting. This study utilized active control through localized heating to reduce HTW amplitude, akin to noise cancellation. The effectiveness of this method was evaluated both experimentally and numerically by adjusting the heating depth in a thin liquid film. Silicone oil served as the test fluid, and the liquid film was rectangular in shape. In the case of linear time-periodic heating, a line-shaped heater applied a constant maximum heat input, synchronized with the HTW's period. Experimental results indicated that HTW amplitude significantly depends on the heating depth of the liquid film. Downstream of the HTW, temperature amplitude could be reduced by up to 60%, whereas upstream, it could be amplified. In numerical simulations, HTW reduction and amplification were linked to substantial changes in the streamwise temperature gradient on the free surface, rather than to local cancellation of the temperature disturbance. Unlike the results from single-pulse heating control, the amplitude ratio showed a strong dependence on whether the heat input significantly affected the streamwise thermal and flow fields. © 2025 Elsevier Ltd

关键词： Liquid films

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Hyperspectral Image Analysis Using Maximum Abundance Classification

Hyperspectral Image Analysis Using Maximum Abundance Classif...

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International Conference on Intelligent Control and Information Processing (ICICIP)

作者： Nian Zhang Sougre-Nonma Stephanie Rouamba Wagdy H. Mahmoud Lara A. Thompson Department of Electrical and Computer Engineering University of the District of Columbia Washington D.C. USA Department of Mechanical Engineering Biomedical Engineering Program University of the District of Columbia Washington D.C. USA

ISBN: (数字)9798331516147

ISBN: (纸本)9798331516154

This paper presents a satellite hyperspectral image processing method that utilizes a maximum abundance classifier to categorize different regions of hyperspectral images into ground truth classes. First, the class names for each endmember and their corresponding columns in the signature matrix are identified, followed by the visualization of their spectral profiles. Abundance maps for the endmembers are then generated using the fully constrained least squares (FCLS) method. Afterward, the maximum abundance classifier is applied, and the resulting classified image is displayed with color-coded pixels. The abundance maps illustrate the spatial distribution of endmembers across the hyperspectral image, where the abundance values of each pixel represent the proportion of each endmember present. By determining the highest abundance value for each pixel and assigning it to the corresponding endmember class, the pixels within the hyperspectral images are classified. Experimental results demonstrate that the proposed MAC method effectively handles mixed pixels. In addition, it can effectively deal with the mixed pixel problem in hyperspectral images because it identifies components by calculating the abundance values for each pixel rather than relying solely on single spectral features.

关键词： Visualization Image segmentation Satellites Graphical models Information processing Hyperspectral imaging Intelligent control Image classification Distribution functions

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Joint optimization of logistics operations and reliability-based replacement policies in a geographically distributed service parts logistic system

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CIRP Annals 2025年

作者： Wang, Po-Han Djurdjanovic, Dragan Graduate Program on Operations Research and Industrial Engineering The University of Texas at Austin AustinTX United States Walker Department of Mechanical Engineering The University of Texas at Austin AustinTX United States

A joint location-inventory-maintenance model is proposed for a geographically distributed Service Parts Logistics problem. The model uses a reliability-based replacement strategy and is formulated as a quadratic Mixed Integer Linear program which jointly optimizes logistic and preventive part replacement decisions. The proposed solution method employs piecewise linearization to provide a level of tractability and scalability to the method. The newly proposed joint location-inventory-maintenance model is evaluated and benchmarked against traditional local optimum-based replacement approaches. It consistently outperformed the benchmark models, with the efficiency of cost effect improvements determined by the relative prevalence of logistics factors versus asset management costs. © 2025

关键词： Piecewise linear techniques

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Utilisation of SiO₂/TiO₂/Al₂O₃ mechanical blends for enhancing the photovoltaic efficiency in polycrystalline silicon solar cells

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Surfaces and Interfaces 2025年 65卷

作者： Anbupalani, Manju Sri Venkatachalam, Chitra Devi Rathanasamy, Rajasekar Sivaraj, Santhosh Department of Chemical Engineering Nandha Engineering College TamilNadu Erode India Department of Food Technology Kongu Engineering College TamilNadu Erode India Department of Mechanical Engineering Kongu Engineering College TamilNadu Erode India Department of Robotics and Automation Easwari Engineering College TamilNadu Chennai India

Solar cells are an alternative for the fossil fuels and attaining maximum utilization of the available solar energy is the key aspect of renewable energy technologies. This research work aims at improving the power conversion efficiency (PCE) of polycrystalline silicon solar cells through the reduction in reflection losses. This can be achieved by Anti-reflective coating (ARC) at the solar cell front surface. Metal oxide blends such as SiO₂, TiO₂, and Al₂O₃ were employed individually and also in the blended form to boost up the PCE of the solar cell. The RF-Sputtering technique was used to coat solar cell surface with chosen ARC materials as uniform thin films. Structural and morphological properties of the uncoated and ARC coated samples were analyzed by scanning electron microscopy (SEM) and X-ray diffraction (XRD) respectively. Resistivity, carrier concentration and hall mobility are the significant electrical characteristics, which were evaluated at both open-source and controlled source atmosphere by utilizing four probe techniques. UV–visible spectroscopy was employed to measure the optical characteristics of the solar cell samples. By analyzing the efficiency of the various samples of solar cells, the sample coated with SiO₂/TiO₂/Al₂O₃ mechanical blend exhibits 18.77 % in normal sunlight source atmosphere and 20.82 % in controlled light source condition. The obtained results infer that SiO₂/TiO₂/Al₂O₃ blend can be a promising anti reflective materials to be employed for solar cells of polycrystalline silicon. © 2025

关键词： Anti reflection coating Power conversion efficiency Si solar cell

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In-situ real-time monitoring of GeSn growth using UHV-CVD to achieve high-quality material with lasing at 2250 nm and 100 K [Invited]

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Optical Materials Express 2025年第6期15卷 1371-1381页

作者： Joshua Grant Sudip Acharya Alexer Golden Enbo Yang Hryhorii Stanchu Guo-En Chang Greg Sun Wei Du Shui-Qing Yu Department of Electrical Engineering and Computer Science University of Arkansas Fayetteville AR 72701 USA Material Science and Engineering Program University of Arkansas Fayetteville AR 72701 USA Institute for Nanoscience and Engineering University of Arkansas Fayetteville AR 72701 USA Department of Mechanical Engineering National Chung Cheng University Chiayi 62102 Taiwan Department of Engineering University of Massachusetts Boston MA 02125 USA

GeSn alloys hold great promise for the development of Si photonics due to its direct bandgap with sufficient high Sn composition, tunable bandgap energies covering broad infrared wavelength range, and compatibility with the complementary metal-oxide-semiconductor (CMOS) process. For the past decades, tremendous efforts have been made to develop material growth recipes to obtain device-level material quality using chemical vapor deposition (CVD) reactors. A common issue in material growth is the formation of Sn droplets (i.e., Sn segregation) that seriously degrades the material quality. However, although industrial CVD has delivered high-quality materials for device demonstration, the dynamic process of material growth remains unavailable, and only ex-situ material characterizations could provide feedback. In this work, a specially designed ultra-high-vacuum CVD (UHV-CVD) was used to study the growth dynamic by employing an in-situ optical system, which enables us to monitor the formation of Sn droplets in real-time. The Sn segregation occurring at the cooling stage after growth completion rather than during material growth was discovered, indicating that a post-growth treatment is needed to minimize the Sn droplet formation. By extending the GeSn growth time and controlling the cooling cycle, the number of Sn droplets dramatically reduced, leading to a high-quality strain-relaxed GeSn layer with 10.2% Sn composition and over 730 nm thickness. Material quality is comparable with those grown using commercial RPCVD in the early stage, which was further confirmed by the demonstration of an optically pumped laser. A threshold of ∼600 kW/cm 2 at 77 K and a maximum operating temperature of 100 K were obtained, with the lasing peak at ∼2250 nm.

关键词： Avalanche photodiodes Fourier transform infrared spectroscopy Laser sources Materials processing Physical vapor deposition Thin films

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Enhancing Thermal and Tribological Properties with Cellulose Nanocrystals: A Comprehensive Review and Analysis 2nd

Enhancing Thermal and Tribological Properties with Cellulose...

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2nd International Conference on Intelligent Manufacturing and robotics, ICIMR 2024

作者： Kareem Ahmad Aqeel, Ahmad Abdul Hajjaj, Sami Mohamed, Hassan Gomaa, Mohamed R. Obeidat, Faten Saeed Selangor Kajang43000 Malaysia School of Robotics Xi’an Jiaotong-Liverpool University 111 Taicang Avenue Jiangsu Province Suzhou Taicang215400 China School of Engineering and Technology Sunway University No. 5 Jalan Universiti Selangor Darul Ehsan Bandar Sunway47500 Malaysia Selangor Kajang43000 Malaysia Mechanical Engineering Department Faculty of Engineering Al-Hussein Bin Talal University Ma’an71111 Jordan Department of Hearing and Speech Sciences School of Rehabilitation Sciences University of Jordan Amman11942 Jordan

ISBN: (纸本)9789819639489

The recent surge in interest and advancements in nanotechnology, sustainable materials, and bio composites has highlighted the need for an updated review of Cellulose Nanocrystals (CNCs). This review brings together the latest research findings, methodologies, and applications of CNCs, offering valuable insights for scientists, engineers, and industry professionals working in the fields of materials science, biomaterials, nanotechnology, and environmental sustainability. CNCs, which are derived from natural cellulose sources, possess unique properties such as high mechanical strength, thermal stability, and environmental friendliness. These characteristics make CNCs highly suitable for a wide range of applications, including heat transfer, tribological enhancements, and fluid performance. The review thoroughly examines the incorporation of CNCs into various matrices, where they have been shown to significantly enhance thermal conductivity and viscosity. This improvement in material properties is particularly beneficial for applications such as engine oils, radiator coolants, and machining fluids, where enhanced performance is critical. While the potential of CNCs is vast, the review also addresses ongoing challenges that must be overcome to fully realize their capabilities. These challenges include issues related to nanoparticle stability and the environmental impact of CNCs, which require further investigation to ensure their safe and effective use. This comprehensive assessment not only underscores the transformative potential of CNCs in advancing material science and sustainable technologies but also identifies key areas for future research. By addressing the existing barriers, this review aims to guide further developments in the field, paving the way for innovative applications and solutions that leverage the unique properties of CNCs. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Cellulose nanocrystals

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Recyclable thin-film soft electronics for smart packaging and e-skins

arXiv

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arXiv 2025年

作者： Carneiro, Manuel Reis de Almeida, Aníbal T. Tavakoli, Mahmoud Majidi, Carmel Soft Machines Lab Department of Mechanical Engineering Carnegie Mellon University PittsburghPA15213 United States Institute of Systems and Robotics Department of Electrical and Computer Engineering University of Coimbra Coimbra3030-290 Portugal

Despite advances in soft, sticker-like electronics, few efforts have dealt with the challenge of electronic waste. Here, we address this by introducing an eco-friendly conductive ink for thin-film circuitry composed of silver flakes (Ag) and a water-based polyurethane (WPU) dispersion. This ink uniquely combines high electrical conductivity (1.6x105 S/m), high resolution digital printability, robust adhesion for microchip integration, mechanical resilience, and recyclability. Recycling is achieved with an ecologically-friendly processing method to decompose the circuits into constituent elements and recover the conductive ink with a decrease of only 2.4% in conductivity. Moreover, adding liquid metal enables stretchability of up to 200% strain, although this introduces the need for more complex recycling steps. Lastly, we demonstrate on-skin electrophysiological monitoring biostickers along with a recyclable smart package with integrated sensors for monitoring safe storage of perishable foods. © 2025, CC BY-NC-ND.

关键词： Electronic Waste

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Reconfigurable Smart Grid Management for Electric Vehicle Charging and the Integration of Renewable Energy Sources using Pied Kingfisher Optimizer

Reconfigurable Smart Grid Management for Electric Vehicle Ch...

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Machine Learning and Autonomous Systems (ICMLAS), International Conference on

作者： M. Sivaramkrishnan M. Siva Ramkumar Kaparthi Uday Mohammad Kanan C. Mohan Raj Jayant Giri Dept of EEE Karpagam College of Engnieering India Dept of ECE SNS College of Technology EIE Department CVR College of Engineering Ibrahimpatanam Hyderabad Department of Industrial Engineering College of Engineering University of Business and Technology Jeddah Saudi Arabia Department of Mechanical Engineering College of Engineering Zarqa University Zarqa Jordan Department or EEE Centre for Robotics and Industrial Automation Sri Eshwar College of Engineering Coimbatore Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

Electric Vehicle (EV) charging management under the Smart Grid (SG) framework with incorporated Renewable Energy Sources (RESs) functions to advance Energy Management (EM). The operational cost of EV charging varies because renewable energy availability can change so this affects the financial performance of charging operations. Integration of RESs with the SG becomes challenging for operational system efficiency particularly when renewable energy generation levels are low. To overcome these drawbacks, this manuscript proposes an efficient approach for SG management for EV charging with the integration of RESs. The suggested method is Pied Kingfisher Optimizer (PKO). The main aim of the suggested technique is to minimize the operational expenses of EV charging as well as maximize the efficiency of the SG system. The PKO is used to optimize the scheduling and allocation of energy resources within the SG system. By then, the suggested approach is implemented in MATLAB and contrasted with several other methods that are currently in use. The suggested technique outperforms all existing approaches such as Bald Eagle Search (BES), Red Kite Optimization (RKO), Artificial Neural Network-Particle Swarm Optimization (ANN-PSO), and Coati Optimization Algorithm-Constitutive Artificial Neural Network (COA-CANN). The suggested approach delivers superior performance than conventional methods by reducing operational costs to 638,322$ under coordinated charging and 629,745$ under smart charging without impacting system performance metrics.

关键词： Renewable energy sources Costs System performance Artificial neural networks Power system stability Stability analysis Smart grids Wind turbines Resource management Smart charging

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