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IEEE Global Conference on Consumer Electronics (GCCE)

作者： Fu Jie Tey Chih-Chi Tuan Cheng-En Cai Ming-Xuan Wu Yun-Sheng Wu Tin-Yu Wu Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Master Program of E-Learning for Multimedia and Network Communications National Ilan University Yilan Taiwan Department of Management Information Systems National Pingtung University of Science and Technology Pingtung County Taiwan

ISBN: (纸本)9781665492331

The purpose of this paper is to investigate the factors affecting the passenger traffic volume on the high-capacity MRT, to analyze the traffic volume trends, and to make traffic volume predictions more accurately. This paper uses the LSTM (Long Short-term Memory) model and regression analysis for Taipei MRT passenger traffic volume prediction. The training data, including dates, temperatures and number of passengers, were collected, and a regression analysis was performed to find trends in the data.

关键词： Temperature distribution Solid modeling Government Transportation Training data Predictive models Market research

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Deep-Learning-Based Image Tagging for Semantic Image Annotation 10th

Deep-Learning-Based Image Tagging for Semantic Image Annotat...

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10th International Conference on Computer Science and its Applications, CSA 2018 and the 13th KIPS International Conference on Ubiquitous Information Technologies and Applications, CUTE 2018

作者： Shin, Yoonmi Seo, Kwangwon Ahn, Jinhyun Im, Dong-Hyuk Department of Computer Engineering Hoseo University Asan Korea Republic of Department of Management Information Systems Jeju National University Jeju Korea Republic of

ISBN: (纸本)9789811393402

Many multimedia images, which are generated in countless ways, must be semantically stored and managed to search for relevant images. Therefore, studies on image annotation have been conducted and the field is developing at a steady pace. In existing approaches, the user inputs the tag for the image directly to obtain the semantic tag. In this study, the tag is input to the image using a convolutional neural network, which can be used for deep learning. Thus, it the hassle of entering tags for images is eliminated. Through deep learning, the user can automatically input the tag for the image, and the entered tags can be expanded to the resource description framework model in Linked Tag. Finally, the user can perform semantic-based image search using the SPARQL query language. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Image annotation

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Preliminary Design of a Novel Teleoperation Interface for Home-based Upper Limb Rehabilitation 17

Preliminary Design of a Novel Teleoperation Interface for Ho...

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17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Liu, Yi Guo, Shuxiang Yan, Ziyi Kagawa University Hayashi-cho Graduate School of Engineering Takamatsu761-0396 Japan Kagawa University Hayashi-cho Department of Intelligent Mechanical Systems Engineering Takamatsu761-0396 Japan

ISBN: (纸本)9781728164151

With the increasing incidence of stroke, the demand for post-stroke rehabilitation is also increased. Various rehabilitation devices have been proposed to facilitate home-based rehabilitation and reduce the therapist's workload. This paper presnets a novel teleoperation interface to allow the therapist in the hospital to guide the patient's rehabilitation at home via TCP/IP communication. In order to achieve safe and comfortable home-based rehabilitation, the proposed teleoperation interface implements independent position and stiffness control to remotely guide the operation of the exoskeleton device worn on the patient. The preliminary experimental results showed that the proposed tele-rehabilitation was capable of providing effective power assistance and stiffness adjustment in real time under the guidance of the therapist. © 2020 IEEE.

关键词： Wearable technology

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Reservoir computing with diverse timescales for prediction of multiscale dynamics

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Physical Review Research 2022年第3期4卷 L032014-L032014页

作者： Gouhei Tanaka Tadayoshi Matsumori Hiroaki Yoshida Kazuyuki Aihara International Research Center for Neurointelligence The University of Tokyo Tokyo 113-0033 Japan Department of Electrical Engineering and Information Systems Graduate School of Engineering The University of Tokyo Tokyo 113-8656 Japan Department of Mathematical Informatics Graduate School of Information Science and Technology The University of Tokyo Tokyo 113-8656 Japan Toyota Central R&D Labs. Inc. Tokyo 112-0004 Japan

Machine learning approaches have recently been leveraged as a substitute or an aid for physical/mathematical modeling approaches to dynamical systems. To develop an efficient machine learning method dedicated to modeling and prediction of multiscale dynamics, we propose a reservoir computing (RC) model with diverse timescales by using a recurrent network of heterogeneous leaky integrator (LI) neurons. We evaluate computational performance of the proposed model in two time series prediction tasks related to four chaotic fast-slow dynamical systems. In a one-step-ahead prediction task where input data are provided only from the fast subsystem, we show that the proposed model yields better performance than the standard RC model with identical LI neurons. Our analysis reveals that the timescale required for producing each component of target multiscale dynamics is appropriately and flexibly selected from the reservoir dynamics by model training. In a long-term prediction task, we demonstrate that a closed-loop version of the proposed model can achieve longer-term predictions compared to the counterpart with identical LI neurons depending on the hyperparameter setting.

关键词： Neuronal dynamics Dynamical systems Multiple time scale dynamics

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Lightweight equivariant model for efficient machine learning interatomic potentials

arXiv

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arXiv 2023年

作者： Yang, Ziduo Wang, Xian Li, Yifan Lv, Qiujie Chen, Calvin Yu-Chian Shen, Lei Department of Mechanical Engineering National University of Singapore Singapore117575 Singapore Artificial Intelligence Medical Research Center School of Intelligent Systems Engineering Shenzhen Campus of Sun Yat-sen University Shenzhen518107 China Department of Physics National University of Singapore Singapore117551 Singapore -Preferred Program School of Electronic and Computer Engineering Peking University Shenzhen Graduate School Shenzhen518055 China State Key Laboratory of Chemical Oncogenomics School of Chemical Biology and Biotechnology Peking University Shenzhen Graduate School Shenzhen518055 China Guangdong L-Med Biotechnology Co. Ltd Guangdong Meizhou514699 China Research Institute Chongqing401123 China

In modern computational materials science, deep learning has shown the capability to predict interatomic potentials, thereby supporting and accelerating conventional simulations. However, existing models typically sacrifice either accuracy or efficiency. Moreover, lightweight models are highly demanded for offering simulating systems on a considerably larger scale at reduced computational costs. Here, we introduce a lightweight equivariant interaction graph neural network (LEIGNN) that can enable accurate and efficient interatomic potential and force predictions for molecules and crystals. Rather than relying on higher-order representations, LEIGNN employs a scalar-vector dual representation to encode equivariant features. By learning geometric symmetry information, our model remains lightweight while ensuring prediction accuracy and robustness through the equivariance. Our results show that LEIGNN consistently outperforms the prediction performance of the representative baselines and achieves significant efficiency across diverse datasets, which include catalysts, molecules, and organic isomers. Furthermore, we conduct molecular dynamics (MD) simulations using the LEIGNN force field across solid, liquid, and gas systems. It is found that LEIGNN can achieve the accuracy of ab initio MD across all examined systems. Copyright © 2023, The Authors. All rights reserved.

关键词： Prediction models

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Influence of Stationary Vehicles to Thermal Fume Backlayering Length in Tunnel Fire 11th

Influence of Stationary Vehicles to Thermal Fume Backlayerin...

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11th Asia-Oceania Symposium on Fire Science and Technology, AOSFST 2018

作者： Ho, Yu Tsung Kawabata, Nobuyoshi Seike, Miho Hasegawa, Masato Chien, Shen-Wen Shen, Tzu-Sheng Ding-Hui Project Management Consultants No. 424 Dannan Road Taipei111 Taiwan Graduate School of Natural Science & Technology Kanazawa University Kakumamachi Kanazawa9201164 Japan Faculty of Production Systems Engineering and Sciences Komatsu University Komatsu Japan Faculty of Engineering Department of Mechanical Systems Engineering Toyama Prefectural University Imizu Japan Faculty of Mechanical Engineering Institute of Science and Engineering Kanazawa University Kakumamachi Kanazawa Japan Department of Fire Science Central Police University Taoyuan Taiwan

ISBN: (纸本)9789813291386

This research is using methods model experiments and numerical simulation in tunnel respectively to discuss what influence that stationary vehicles located in upwind fire source would have on backlayering length Lb of thermal fume. In this experiment, the same scale of the fire source was adapted, and the variables are the obstacles height of upwind fire source. There are two kinds of obstacles: lower obstacles and higher ones;the configuration is divided into two kinds: no stationary vehicles (M0) and both sides of stationary vehicles (M2). This experiment is using 1/5 model of the tunnel, and the model material Biot number and Fourier number is close to the full-scale tunnel. In terms of numerical simulation, a full scale model was built by original code which is self-developed and then calculated the fire source scale and time range of quasi-steady used in numerical simulation with dimensionless formula and Froude scaling methods respectively. Comparing the relation between dimensionless backlayering length Lb/H and Q*1/3/Fr with curve fitting equation proposed by Kunikane (11th International Symposium on AVVT, Luzern, Switzerland, pp. 87–101, 2003 [1]), it shows that under the same Froude number circumstance, the Lb with obstacles is shorter than that without obstacles. Also, model experiments and numerical simulation both show similar result. Thus the original code used for numerical simulation in this study is suitable for studying the effect of stationary vehicles on Lb. After analyzing the effect of stationary vehicles on the longitudinal velocity, it is found that in the case of M2, the longitudinal velocity on the upper part of the tunnel is bigger than that of M0. Therefore, the Lb in M2 is shorter than that in M0. Because, in the case of M2, higher obstacles cause the wind speed of the upper part of the tunnel to become faster, which in turn causes the Lb to become shorter and the slope of the fitting curve to become smaller. © Springer Nature Singapore

关键词： Vehicles

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Quality Improvements in the Electrical Design of Typical DC-DC Electronic Power Converter for High-Voltage Applications

Quality Improvements in the Electrical Design of Typical DC-...

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International Conference on engineering and Emerging Technologies (ICEET)

作者： King Harold A. Recto Miguel T. Escoto Noel B. Hernandez Department of Electronics Computer and Communications Engineering Ateneo de Manila University Quezon City Philippines Electrical and Electronics Engineering Institute University of the Philippines Diliman Quezon City Philippines Post-doctoral Program in Quality Management of the Graduate School Centro Escolar University Manila Philippines

ISBN: (纸本)9781665491075

The green transition has brought about a worldwide-shift to the use of renewables as alternative energy sources. Because of this, high voltage DC has been a field of interest in power electronics due to its capability in efficiently transmitting power to reach remote areas. Typical DC-DC electronic power converter design has the capability of boosting voltage level to a certain extent but not enough for high-voltage applications. Using the DMAIC Approach of the Six Sigma, quality improvements in the design was proposed to stabilize operating frequency, bring up the output voltage from 100 VDC to 4,000 VDC and provide at least 10% margin of error in the apparent power measured at the output side to offset inherent losses in the electrical design. These proposed quality improvements were sustained by designing a control circuit that would ensure the attainment of the parameters set in the Define Phase of the DMAIC Approach. The result of the study is a practical 12 VDC to 4,000 VDC boost converter design that has incorporated all the proposed quality improvements.

关键词： Renewable energy sources Voltage measurement Power measurement Measurement uncertainty Green products High-voltage techniques Loss measurement

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Field Study on Energy Consumption and Thermal Comfort of a Nzeb Using Radiant Ceiling Panel and Open-Loop Groundwater Heat Pump System in a Cold Region

SSRN

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SSRN 2022年

作者： Ye, Minzhi Nagano, Katsunori Serageldin, Ahmed Awwad Sato, Hideki Graduate School of Engineering Hokkaido University Hokkaido Sapporo060-8628 Japan Division of Human Environmental Systems Faculty of Engineering Hokkaido University N13-W8 Kita Ku Sapporo060-8628 Japan Department of Mechanical Engineering Shoubra Faculty of Engineering Benha University Cairo11629 Egypt Sanken Setsubi Kogyo Co. Ltd. Japan

A field study was conducted in both summer and winter in an office building, which is equipped with a radiant ceiling panel ( RCP ) and an open-loop groundwater heat pump ( GWHP ) system. All energy systems in this building were controlled and monitored using a building energy management system. First, the annual energy consumption was analyzed and it was clear this building can meet the requirements of the ZEB-ready level in Japan. The energy consumption of the air-conditioning system accounted for 46 % of the total energy consumption, which was the largest contributor to the total energy consumption. Second, indoor thermal comfort was evaluated based on the results obtained from the physical measurements and survey questionnaire. The results showed that the free-suspended RCP system could achieve the required indoor thermal conditions for the entire year. In addition, intermittent and continuous operation methods were compared in terms of both thermal comfort and energy consumption. Under the continuous operation method, a stable indoor environment was maintained, and the COP of the GWHP system was increased by 10 %. The results showed the potential to further reduce energy consumption and maintain a high thermal comfort level through system operation optimization. © 2022, The Authors. All rights reserved.

关键词： Energy utilization

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Organisational Cultural Considerations for Successful Product Lifecycle management Implementation within Complex engineering programmes

SSRN

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SSRN 2024年

作者： Whitfield, Robert Ian McKendry, Daniel BAE Systems Maritime - Naval Ships South St Scotstoun GlasgowG14 0XN United Kingdom Department of Design Manufacturing and Engineering Management University of Strathclyde James Weir Building 75 Montrose Street GlasgowG1 1XJ United Kingdom

The study examines the relationship between organisational culture, people, and successful Product Lifecycle management (PLM) implementation. Conducted through qualitative analysis of 27 expert interviews across 11 engineering to Order industries in various countries, it produced a robust implementation framework. Validation showed a 95% agreement on framework quality and versatility. It identifies cultural factors crucial to PLM implementation, offering actionable insights for practitioners. Academic significance lies in the validated challenges, objectives, and enablers, paving the way for further research. This research significantly influenced the PLM strategy of BAE systems Maritime Naval Ships, particularly for a recent Royal Navy vessel's shipbuilding program © 2024, The Authors. All rights reserved.

关键词： Shipyards

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Socio-biodiversity supply chain: Sustainable practices of a Brazilian cosmetic company

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Environmental Quality management 2020年第1期30卷 25-31页

作者： Cassol, Maurício Sellitto, Miguel Afonso Production and Systems Engineering Graduate Program (PPGEPS) Universidade do Vale do Rio dos Sinos (UNISINOS) Avenida Unisinos 950 São Leopoldo 93022-750 RS Brazil

The purpose of this article is to analyze and describe sustainable practices based on biodiversity assets adopted by one of the largest global cosmetics company, located in Brazil. The company occupies the 19th position of the Global Ranking 100 Sustainability. The research method is bibliographic research that employed open, non-classified documents publicized by the company. The main findings of the study underscore the relevance of the rural communities in developing a supply chain based on biodiversity as well as the importance of the relationships among the tiers to implement a sustainable business model. The company relies on high-quality products associated with environmental development. Currently, biodiversity suppliers account for 80% circa of natural raw materials, the so-called biodiversity asset, which represents the core of the sustainable business model of the company. The findings can be generalized by helping other supply chains to develop and implement sustainable business models supported by biodiversity. Such type of a model can help companies achieve expressive business performance and, at the same time, social relevance to peripheral or vulnerable rural communities. © 2020 Wiley Periodicals LLC

关键词： biodiversity circular economy reverse logistics social responsibility supply chains

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