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18th IEEE International Conference on Advanced Motion Control, AMC 2024

作者： Yane, Kazuki Nozaki, Takahiro Graduate School of Science and Engineering Keio University Yokohama Japan Keio University Department of System Design Engineering Yokohama Japan

ISBN: (纸本)9798350342819

Robots are desired to replace human labor. One method for having robots perform human tasks is imitation learning. However, obtaining a large amount of human motion data necessary for imitation learning is difficult due to physical constraints. Therefore, to learn motions from a small amount of data, a method to extract features of motions from the motion data and to obtain a generic representation of the motions is being considered. In addition, although there are methods that consider position and force in imitation learning, the control stiffness is fixed. This paper determines the control directions of position and force for one motion data by Principal Component Analysis (PCA), and the control stiffness is determined. We also propose a method to generate a motion suitable for each state by dividing the motion into multiple states using the results of PCA and estimating the states during motion generation. Simulation is performed to verify the results of motion generation based on the proposed representation. © 2024 IEEE.

关键词： Stiffness

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Interval analysis for neural networks with application to fault detection

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science China(Information sciences) 2024年第11期67卷 222-237页

作者： Zhenhua WANG Youdao MA Song ZHU Thach Ngoc DINH Yi SHEN Department of Control Science and Engineering Harbin Institute of Technology National Key Laboratory of Complex System Control and Intelligent Agent Cooperation School of Mathematics China University of Mining and Technology The CEDRIC-Lab Conservatoire National des Arts et Métiers (CNAM)

This paper investigates an interval analysis method for neural networks and applies it to fault detection for systems with unknown but bounded measurement noise. First, a novel interval analysis method is presented, which can compute the bounds of the output of a feedforward neural network subject to a bounded input. By applying the proposed interval analysis method to a network trained with fault-free system data, adaptive thresholds for fault detection are computed. Finally, one can acquire fault detection results via a fault detection strategy. The proposed method can achieve tight bounds of the network output and employ simple operations, which leads to accurate fault detection results and a low computational burden.A numerical simulation and an experiment on an AC servo motor are given to illustrate the effectiveness and superiority of the proposed method.

关键词： interval analysis feedforward neural network fault detection adaptive thresholds

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THE SKILLS FOR MEASURING THE EFFECTIVE THERMAL DIFFUSION CONDUCTIVITY OF THE VAPOR CHAMBER WITH THE ÅNGSTRÖM THEORY

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Heat Transfer Research 2023年第11期54卷 51-74页

作者： Lin, Wei-Keng Zhang, Wen-Hua Hsaio, Kenny Tseng, Wen-Ching Chu, Yi-Jing Department of Engineering and System Science National Tsing Hua University Hsinchu City Taiwan T-Global Technology Taoyuan City Taiwan

Most people measure the thermal resistance of vapor chambers by using Fourier's law of thermal conduction. However, Fourier's thermal conduction law is generally applied when the evaporator area is the same as that of the condenser, and this is completely different from the realistic condition;that is, the heated area of the evaporator is much smaller than the condenser area. Therefore, we proposed a new method to initially measure the thermal diffusivity of the test sample by the Ångström theory and then convert it into effective thermal diffusion conductivity of the vapor chamber. The Ångström theory is originally used for the one-dimensional test sample. However, the results of measurements that are applied to heat spreaders such as vapor chambers, heat pipes, or graphene are generally not accurate enough. The reason is that some test samples are not one-dimensional, or the test skill is not high. Therefore, the accuracy of measuring the effective thermal diffusivity of vapor chambers is very important for identifying the performance of the vapor chamber. The method in this paper using the Ångström theory has successfully divided the size of the current vapor chamber into three zones by the method of thickness-to-width aspect ratio. The repeatability error of obtained data is less than 5%, and the accuracy error is less than 10%. © 2023 by Begell House, Inc.

关键词： Thermal diffusivity

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A Two-Stage Approach for Electric Vehicle Routing Problem with Time Windows and Heterogeneous Recharging Stations

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Tsinghua science and technology 2024年第5期29卷 1300-1322页

作者： Tianyu Luo Yong Heng Lining Xing Teng Ren Qi Li Hu Qin Yizhi Hou Kesheng Wang School of Electronic Engineering Xidian UniversityXi’an 71007China Beijing Institute of Electronic System Engineering Beijing 100854China School of Logistics and Transportation Central South University of Forestry and TechnologyChangsha 410004China School of Management Huazhong University of Science and TechnologyWuhan 430074China School of River and Ocean Engineering Chongqing Jiaotong UniversityChongqing 400074China Department of Mechanical and Industrial Engineering Norwegian University of Science and TechnologyTrondheim 7491Norway

An Electric Vehicle(EV)is an appropriate substitution for traditional transportation means for diminishing greenhouse gas ***,decision-makers are beset by the limited driving range caused by the low battery capacity and the long recharging *** resolve the former issue,several transportation companies increases the travel distance of the EV by establishing recharging stations in various *** proposed Electric Vehicle-Routing Problem with Time Windows(E-VRPTW)and recharging stations are constructed in this context;it augments the VRPTW by reinforcing battery capacity ***,super-recharging stations are gradually emerging in the *** can decrease the recharging time for an EV but consume more energy than regular *** this paper,we first extend the E-VRPRTW by adding the elements of super-recharging *** then apply a two-stage heuristic algorithm driven by a dynamic programming process to solve the new proposed problem to minimize the travel and total recharging ***,we compare the experimental results of this approach with other algorithms on several sets of benchmark ***,we analyze the impact of super-recharging stations on the total cost of the logistic plan.

关键词： Electric Vehicle(EV) vehicle routing Dynamic Programming(DP) two-stage algorithm

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Analysis of urban residential greening in tropical climates using quantitative methods

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Environmental science and Pollution Research 2024年第31期31卷 44096-44119页

作者： Priya, Udayasoorian Kaaviya Senthil, Ramalingam School of Architecture and Interior Design SRM Institute of Science and Technology Kattankulathur Chennai603203 India Department of Architecture Prime Nest College of Architecture and Planning Tiruchirappalli India Department of Mechanical Engineering SRM Institute of Science and Technology Kattankulathur Chennai603203 India

Urban green spaces play a crucial role in mitigating urban heat islands, providing shade, cooling, absorbing carbon dioxide, and releasing oxygen to enhance air quality. Understanding the user perceptions of residential greeneries is essential for effective planning and implementation of greening systems. This quantitative research explored user perceptions and preferences regarding residential greeneries through a structured questionnaire survey from 578 respondents. The responses from the densely populated Chennai city and the rest of Tamil Nadu, India, were analyzed. About 90% of residents are interested in having a garden, irrespective of location and residential characteristics. The most available space in Chennai’s urban region is a balcony at 45%, followed by front and back gardens at 30% and vice versa for Chennai’s suburban areas. The most preferred type is potted plants (30%) and climbers (20%) on balconies and near windows in Chennai. The most perceived challenges are installation and maintenance costs. The most influencing factors over the preference for greeneries and green walls are the house typology, house ownership, and site location. This study provides more insights to building designers and architects on planning and implementation of residential greeneries as per end users’ preferences and perceptions. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Air quality

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Model and Analysis of Forklift Motion for Extracting Operational Factors of Accidents

Model and Analysis of Forklift Motion for Extracting Operati...

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18th IEEE International Conference on Advanced Motion Control, AMC 2024

作者： Hagiwara, Takeo Murakami, Toshiyuki Graduate School of Science and Engineering Keio University Yokohama Japan Keio University Department of System Design Engineering Yokohama Japan

ISBN: (纸本)9798350342819

Forklifts are used in factories and warehouses to transport and load cargo. As the number of forklifts increases over a wide area, many fatal accidents (e.g., contact with workers, falling loads, and tipping over of the main unit) have been reported. There is an urgent need in the industry to reduce these fatal accidents. The purpose of this paper is to develop a detailed model of a forklift to establish indicators for detecting hazardous conditions of forklifts. Few previous studies have included hydraulic cylinder models in their analyses, and this paper proposes a motion modeling and analysis focusing on hydraulic cylinder models. © 2024 IEEE.

关键词： Cylinders (shapes)

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Eco-Dyeing and Functional Finishing of Cotton Fabric Using a Natural Colour Derived From Lotus Seed: Enhanced Fastness Properties with Chitosan

Textile and Leather Review

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Textile and Leather Review 2024年 7卷 1039-1060页

作者： Rani, Jyoti Guru, Ramratan Singh, Jaswant Santhanam, Sakthivel School of Fashion Lovely Professional University Punjab Phagwara India School of Design Mody University of Science and Technology Rajasthan Lakshmangarh India Department of Textile Technology Park College of Engineering and Technology Tamilnadu Coimbatore India

Medicinal plant-based dyeing introduces vibrant colours alongside antibacterial and anti-odor properties, fostering sustainability. Innovations include mass sampling for consistent pigment production. Furthermore, lotus seedpods, rich in bioactive compounds, exhibit potential in diverse fields. Chitosan, a biopolymer derived from chitin, boasts versatility in drug delivery systems, wound healing, and antimicrobial applications. This experimental inquiry delves into the dyeability and antimicrobial efficacy of cotton fabric subjected to treatment with chitosan and dyed using Lotus seeds. The investigation encompasses varied parameters such as dye concentration, duration, and temperature for fabric dyeing. The study elucidates the aqueous extraction methodology for dye from Lotus seeds, the chitosan-based mordanting techniques. Standardized assessments are utilized to gauge colour fastness characteristics, encompassing washing, rubbing, and perspiration fastness, along with assessing the antimicrobial attributes of the treated cotton fabric. The study indicates that the application of chitosan-treated cotton fabric enhances dye intensity and overall dyeing quality, consequently improving the colour fastness property of washing, rubbing, and perspiration. Additionally, the treated cotton fabric exhibits significant antimicrobial activity against common bacteria, highlighting the potential of Lotus seed-derived colourants and chitosan mordant in the development of sustainable and antimicrobial textiles. The future scope lies in optimizing the integration of Lotus seed-derived colourants and chitosan mordant for enhanced sustainability and antimicrobial efficacy in textile applications, leveraging advancements in dyeing technology and antimicrobial formulation techniques. © 2024, idd3. All rights reserved.

关键词： Chitosan

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The Impact of 5G technology on the Functionality and Performance of Internet of Things (IoT) Devices 8

The Impact of 5G Technology on the Functionality and Perform...

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Yesankar, Prajyot Gourshettiwar, Palash Gote, Pradnyawant Jiet, Moses Makuei Gadkari, Ayush Faculty of Engineering and Technology Department of Computer Science & Design Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Computer Science & Medical Engineering Maharashtra Wardha442001 India Faculty of Engineering and Technology Department of Artificial Intelligence & Data Science Maharashtra Wardha442001 India

ISBN: (纸本)9798350376425

The design of wireless mobile devices of the next generation 5G promises to address the demands of complex IOT designs in terms of connectivity technologies. This The study illuminates the architecture, benefits, and needs that5G can satisfy. drawbacks of the 5G network. Numerous sites throughout the world have conducted extensive analyses of IOT devices with 5G capabilities and research on this kind of network. A new era of communication has begun with the introduction of 5G technology, which promises unheard of velocity, low latency, and enormous capacity. The significant effects of 5G on the operation and efficiency of connected Internet of Things (IoT) gadgets are examined in this research. IoT devices stand to gain from improved communication capabilities as 5G networks proliferate, opening the door for creative applications in a variety of industries. The first section of the article gives a summary of the main characteristics of 5G technology, highlighting how it has the potential to completely change how Internet of Things devices interact and communicate. Real-time data transfer is made possible by 5G networks far lower latency and higher capacity, which open up possibilities for faster and smooth interactions between IoT *** report also explores how 5G may affect how much electricity Internet of Things devices use. 5G has the ability to solve a long-standing issue in the IoT ecosystem by extending the life of the batteries of IoT devices with the adoption of cost-effective communication protocols and increased network efficiency. A solution that can efficiently handle enormous volumes of information being transferred at very high capacity is required as the Internet of Things gains popularity One of the main demands or goals that need to be reached in the near future, or the next generation of IOT devices, is more capacity, a faster data transfer speed and less delay. © 2024 IEEE.

关键词： 5G mobile communication systems

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Assessment of textile industry effluents and their impact on local water bodies in an urban setting of Bangladesh

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Discover Environment 2025年第1期3卷 1-16页

作者： Masum, Md. Mehedi Hassan Islam, Md. Bashirul Anowar, Md. Rezvi Arsh, Kandila Alam, Sadia Institute of River Harbor and Environmental Science (IRHES) Chittagong University of Engineering & Technology (CUET) Chattogram 4349 Bangladesh Department of Fashion Design and Technology Port City International University Chattogram Bangladesh Department of Civil Engineering Chittagong University of Engineering & Technology Chattogram Bangladesh Department of Fashion Design (FD) Chattogram BGMEA University of Fashion and Technology (CBUFT) Chattogram Bangladesh

Industrial pollution is a significant challenge for developing countries, particularly in Bangladesh, where the textile industry severely impacts water quality by discharging effluents containing toxic chemicals. This study aims to evaluate the pollutant load of effluents released by six textile industries in Chattogram City. Effluent samples were analyzed for various physicochemical, biological, and heavy metal parameters. The average physicochemical and biological parameters, including color, temperature, resistivity, total dissolved solids (TDS), total suspended solids (TSS), electrical conductivity (EC), salinity, turbidity, pH, dissolved oxygen (DO), chemical oxygen demand (COD), 5-day biochemical oxygen demand (BOD₅), total coliform (TC), and fecal coliform (FC), were found to be 33.14 PCU, 27.52 °C, 416.85 Ὡ-m, 282.37 mg/L, 0.94 mg/L, 7.80 mS/cm, 2.16 ppt, 135.73 NTU, 7.72, 2.00 mg/L, 2107.54 mg/L, 176.44 mg/L, 108.33 counts/100 mL, and 26.17 counts/100 mL, respectively. The average concentration of heavy metals followed the order of Fe>Cr>Mn>Cd>Pb. Except for temperature, color, resistivity, TDS, TSS, turbidity, Cd, and Mn, all other parameters exceeded the permissible limits set by the Bangladesh Environmental Conservation Rules (BECR. Bangladesh Environmental Conservation Rules (BECR). Dhaka: BECR, 2023), indicating that the effluents are unsuitable for direct discharge into surface water bodies. This study highlights the pressing challenges of textile industry pollution and underscores the need for sustainable practices to protect aquatic ecosystems and human health. Moreover, the findings provide critical insights for policymakers to develop effective pollution control strategies. © The Author(s) 2025.

关键词： ETP Heavy metals Industrial effluent Textile industry Wastewater

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Python package for causal discovery based on LiNGAM

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Journal of Machine Learning Research 2023年第1期24卷 1-8页

作者： Ikeuchi, Takashi Ide, Mayumi Zeng, Yan Maeda, Takashi Nicholas Shimizu, Shohei SCREEN Advanced System Solutions Co. Ltd. Japan Department of Computer Science and Technology Tsinghua University China School of System Design and Technology Tokyo Denki University Japan Center for Advanced Intelligence Project RIKEN Japan Faculty of Data Science Shiga University Japan

Causal discovery is a methodology for learning causal graphs from data, and LiNGAM is a well-known model for causal discovery. This paper describes an open-source Python package for causal discovery based on LiNGAM. The package implements various LiNGAM methods under different settings like time series cases, multiple-group cases, mixed data cases, and hidden common cause cases, in addition to evaluation of statistical reliability and model assumptions. The source code is freely available under the MIT license at https://***/cdt15/lingam. ©2023 Takashi Ikeuchi, Mayumi Ide, Yan Zeng, Takashi Nicholas Maeda, and Shohei Shimizu.

关键词： Python

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