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2023 IEEE International Conference on Robotics and Biomimetics, ROBIO 2023

作者： Senoo, Taku Konno, Atsushi Otsubo, Hayato Ishii, Idaku Hokkaido University Course of Systems Science and Informatic Graduate School of Information Science and Technology Kita 14 Nishi 9 Kita-ku Hokkaido Sapporo060-0814 Japan Hiroshima University Smart Innovation Program Graduate School of Advanced Science and Engineering 1-4-1 Kagamiyama Hiroshima Higashi-Hiroshima739-8527 Japan

ISBN: (纸本)9798350325706

In this paper, robotic regrasping is considered with the goal of achieving dexterous manipulation. The strategy using quick wrist snap is based on human regrasping, and involves rotating the grasped object due to the inertial force while maintaining the contact state. The posture of the grasped object is measured by high-speed vision in real time and is used for posture control. Experimental results are shown where regrasping of a stick-type object in the direction contrary to gravity can be achieved by a high-speed robot hand. © 2023 IEEE.

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Virtual Wearable Sensor Data Generation with Generative Adversarial Networks 23

Virtual Wearable Sensor Data Generation with Generative Adve...

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Proceedings of the Winter Simulation Conference

作者： Yining Huang Hong Wan Xi Chen Operations Research Graduate Program North Carolina State University Raleigh USA Department of Industrial and Systems Engineering North Carolina State University Raleigh USA Grado Department of Industrial and Systems Engineering Virginia Tech Blacksburg USA

ISBN: (纸本)9798350369663

This study delves into the utilization of Generative Adversarial Networks (GANs) for generating subject-specific time series sensor data, offering an innovative alternative to traditional metamodel-based simulations. We undertake an in-depth analysis of DoppelGANger, a prominent GAN variant for time series data and metadata generation, evaluating its efficiency and efficacy. The sensor data for this investigation was sourced from the National Health and Nutrition Examination Survey, which served as the foundational training set. We scrutinized the synthesized sensor data corresponding to various physical attributes, focusing on the temporal and multi-dimensional statistical properties. Our empirical findings underscore the potential of GANs to adeptly capture the time-dependent correlations and the intricate statistical characteristics inherent in multi-dimensional data. This insight into GANs' capabilities is a crucial step towards more sophisticated synthetic data generation, with significant implications for future applications in wearable technology and personalized health monitoring systems.

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Preference-based jogging route selection in downtown Tokyo

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Cities and Health 2024年第3期8卷 390-404页

作者： Huang, Yumeng Eom, Sunyong Suzuki, Tsutomu Master’s Program in Risk Engineering Graduate School of Systems and Information Engineering University of Tsukuba Tsukuba Japan Division of Policy and Planning Sciences Institute of Systems and Information Engineering University of Tsukuba Tsukuba Japan

Jogging has become a popular urban outdoor recreational activity because it is inexpensive and easy. Although there are positive responses to leisure-route planning from many regions, the routes with features preferred by joggers are not commonly considered in urban planning. This article explores and evaluates methods for determining optimal urban jogging routes while considering joggers’ preferences. This study combines information about road width, green space, riverbank scenery, and various points of interest with jogging heat map data and uses a decision tree analysis to study joggers’ preferences. Next, routes with high potential considering three different patterns of points of interest and road width are selected using the vehicle routing problem analysis in ArcGIS. This method for preference-based route selection can be used to identify which links in urban road networks are attractive to runners and provide policymakers with useful information for designing built environments. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Jogger preferences jogging route selection urban outdoor recreation vehicle routing problem

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An Investigation of Heuristic Control Strategies for Multi-Electrolyzer Wind-Hydrogen systems Considering Degradation

An Investigation of Heuristic Control Strategies for Multi-E...

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2023 IEEE Conference on Control Technology and Applications, CCTA 2023

作者： Tully, Zachary Starke, Genevieve Johnson, Kathryn King, Jennifer Colorado School of Mines Advanced Energy Systems Graduate Program GoldenCO80401 United States National Renewable Energy Laboratory GoldenCO80401 United States Colorado School of Mines Electrical Engineering Department GoldenCO80401 United States

ISBN: (纸本)9798350335446

With the growing demand for renewable-energy-powered hydrogen generation and the corresponding increase in plant capacity, individually controlling many electrolyzer stacks will be critical for increasing the plant's lifetime and efficiency. This paper introduces a rule-based controller framework targeting electrolyzer degradation to explore the opportunity space in multi-stack hydrogen plant control. A novel control-oriented degradation model is also presented in this work, which quantifies the impact of steady power input, fluctuating power input, and the number of startup/shutdown cycles on electrolyzer degradation. Using a wind power input signal, 13 controller configurations are tested on 5 MW hydrogen plants consisting of 2, 5, 10, and 25 stacks. These configurations are evaluated on their capability to mitigate electrolyzer degradation and efficiently produce hydrogen from the time-varying input power. The results show that multi-stack control for degradation can extend the plant's lifetime by more than a factor of 3 with minimal impact on instantaneous hydrogen production. © 2023 IEEE.

关键词： Controllers

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Creating Mathematical Models to Help Formulate Company Strategies for Knowledge Management System Implementation

Creating Mathematical Models to Help Formulate Company Strat...

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International Conference on Information Management and Technology (ICIMTech)

作者： Wahyu Sardjono Widhilaga Gia Perdana Dewi Sagita Pranata Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta Indonesia Department of Informatics Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences King's College London Strands West Minster UK

ISBN: (数字)9798350390025

ISBN: (纸本)9798350390032

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies.

关键词： Performance evaluation Knowledge acquisition Collaboration Companies Knowledge management Mathematical models Regression analysis Information management Problem-solving System implementation

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Enhancing IoT Intrusion Detection with Federated Learning-Based CNN-GRU and LSTM-GRU Ensembles

Enhancing IoT Intrusion Detection with Federated Learning-Ba...

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International Symposium on Wireless Communication systems (ISWCS)

作者： Ogobuchi Daniel Okey Demostenes Zegarra Rodriguez João Henrique Kleinschmidt Center for Engineering Modeling and Applied Social Sciences Federal University of ABC São Paulo Brazil Graduate Program in Systems and Automation Engineering Federal University of Lavras Minas Gerais Brazil

ISBN: (数字)9798350362510

ISBN: (纸本)9798350362527

The Internet of Things (IoT) devices have been identified to have low security measures by default, thus making them highly vulnerable to malicious attacks. Machine learning-based intrusion detection systems (IDS) are used to mitigate these attacks, however, there is a compromise in security and privacy of data ownership between IoT devices. This paper proposes a Federated Ensemble IDS (CNN-GRU and LSTM-GRU) for monitoring IoT network activities using Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU) and Long-Short Term Memory (LSTM) networks that classifies the network as either normal or malicious. Two aggregation functions, including wFedAvg and wFedProx, are developed to create a global model from different clients’ contribution. We perform an evaluation of the proposed IDS on CICIoT2023 and FLNET2023 datasets. The results show that with wFedAvg, the CNN-GRU achieved an accuracy of 98.25% and 99.25% on the CICIoT2023 and FLNET2023 datasets respectively. Additionally, the LSTM-GRU model shows a detection accuracy of 93.36% and 95.66%, respectively on CICIoT2023 and FLNET2023 datasets. The performance shows that the proposed method is robust enough to enhancing the privacy of IoT devices.

关键词： Wireless communication Accuracy Intrusion detection Telecommunication traffic Robustness Internet of Things Convolutional neural networks

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Selection of industry 4.0 Technologies: A research agenda

Selection of industry 4.0 Technologies: A research agenda

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IISE Annual Conference and Expo 2021

作者： Santos, Reginaldo Carreiro de Lima, Edson Pinheiro da Costa, Sérgio Eduardo Gouvêa Deschamps, Fernando Industrial and Systems Engineering Graduate Program Pontifícia Universidade Católica do Paraná PR Curitiba Brazil

ISBN: (纸本)9781713838470

The technological paradigm shift is supporting the digital transformation of manufacturing, characterized by emerging industry 4.0 technologies, and the inherent complexity in selecting appropriate technologies. This increasing complexity of technologies, the multiple and conflicting decision criteria, and the abundance of technology alternatives demand a structured process for managers to select technologies to be acquired and implemented. This work derived from the observation of a real problem in a recognized world class automaker company. The identified problem consists in a lack of a consolidated process (procedure) to support managers and specialists in selecting industry 4.0 technologies. This paper aims at extending theory concerning technology management and selection, by proposing a research agenda regarding the solution for the defined problem. A systematic literature review (SLR) is performed to support it, comprising the analysis and synthesis of a review portfolio. The construction of a structured procedure for industry 4.0 technology selection would serve two purposes: (i) to identify the most suitable technology to solve a specific problem, (ii) to support the creation of a technology roadmap to ground a long-term investment plan. The procedure should be able to deal with both purposes to support firms in a digital transformation journey, enabling an objective, rational and traceable decision-making process. © 2021 IISE Annual Conference and Expo 2021. All rights reserved.

关键词： Industry 4.0

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Characterization of Thermally Driven V -shaped MEMS Actuator Using an Alternate Nonlinear RC Model

Characterization of Thermally Driven V -shaped MEMS Actuator...

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International Conference on Electric Power and Energy Conversion systems (EPECS)

作者： Nidal A. Sherif Rached Dhaouadi Maher Bakri-Kassem Mechatronics Graduate Program American University of Sharjah Sharjah UAE Department of Electrical Engineering American University of Sharjah Sharjah UAE Department of Systems Design Engineering University of Waterloo Waterloo Canada

ISBN: (数字)9798331516963

ISBN: (纸本)9798331516970

This paper presents a reduced and efficient alternate model to simulate the nonlinear dynamics of a thermally driven V-shaped MEMS actuator. The experimental observation of the dynamic voltage-displacement relationship shows an overdamped response with a variable rise-time and fall-time indicating the simultaneous presence of complex energy storage and energy dissipation mechanisms. To completely characterize these mechanisms and yet have a simple representation for control, we develop an alternate model consisting of a set of ordinary nonlinear differential equations representing the behavior of a nonlinear RC circuit with variable parameters that are a function of the applied voltage. The simulation results show good agreement with the measured data and confirm the accuracy of the proposed alternate model.

关键词： Micromechanical devices Actuators Transient response Thermal variables control Energy dissipation Thermal variables measurement Mathematical models Integrated circuit modeling Voltage control Energy storage

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EXERGETIC ANALYSIS OF A SOLAR ENERGY-BASED HYDROGEN PRODUCTION SYSTEM 23

EXERGETIC ANALYSIS OF A SOLAR ENERGY-BASED HYDROGEN PRODUCTI...

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23rd World Hydrogen Energy Conference: Bridging Continents by H2, WHEC 2022

作者： Akci, Hilal Gunerhan, Huseyin Hepbasli, Arif Ege University Graduate School of Natural and Applied Science Mechanical Engineering Program Bornova Izmir35100 Turkey Ege University Faculty of Engineering Department of Mechanical Engineering Bornova Izmir35100 Turkey Yasar University Faculty of Engineering Department of Energy Systems Engineering Bornova Izmir35100 Turkey

ISBN: (纸本)9786250008430

In this study, energy, exergy and sustainability analyses are performed for a solar energy-based hydrogen production system, which is modeled with TRNSYS and engineering Equation Solver (EES) software packages. This system consists of solar photovoltaic panels (PVs), a controller, an electrolyzer, a metal hydride hydrogen tank used for hydrogen production and storage, and Proton Exchange Membrane Fuel Cell (PEMFC) for electricity storage. Dead state temperature is taken as 0 ºC. The results revealed that the PEMFC had the highest energy efficiency of 53.28%. Exergy efficiencies of the solar PV panel, the electrolyzer and the PEMFC were determined to be 9.66%, 60% and 29.39%, respectively. The exergetic sustainability index of the electrolyzer had the maximum value of 2.501. © 2022 Proceedings of WHEC 2022 - 23rd World Hydrogen Energy Conference: Bridging Continents by H2. All rights reserved.

关键词： Hydrogen production

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Preliminary Evaluation of Kyokko for Inter-FPGA Communication Framework CIRCUS

Preliminary Evaluation of Kyokko for Inter-FPGA Communicatio...

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IEEE International Conference on Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS)

作者： Kaito Kitazume Norihisa Fujita Ryohei Kobayashi Taisuke Boku Master's Program in Computer Science Degree Programs in Systems and Information Engineering Graduate School of Science and Technology University of Tsukuba Center for Computational Sciences University of Tsukuba

In recent years, Field-programmable Gate Arrays (FPGAs) are gaining attention as computational acceleration devices in the field of high-performance computing. By implementing specialized circuits that can be customiz... 详细信息

ISBN: (数字)9798350383454

ISBN: (纸本)9798350383461

关键词： Conferences High performance computing Circuits Cluster computing Low latency communication Field programmable gate arrays

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