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Nicograph International (NicoInt)

作者： Toshiki suzuki Jun Nishimura Junichi Hoshino Master's and Doctoral Programs in Intelligent and Mechanical Interaction Systems University of Tsukuba Tsukuba Japan Institute of Systems and Information Engineering University of Tsukuba Tsukuba Japan

ISBN: (数字)9798350386882

ISBN: (纸本)9798350386899

Customer service training systems utilizing VR are used as a customer service training method in the service industry, such as restaurants. These systems train according to pre-defined scenarios, which can cause problems, such as people tending to memorize the contents of the scenarios, such as the corresponding locations, and stopping paying attention to their surroundings after repeated training. This paper proposes a system in which the training scenario changes with each experience. The system can generate approximately 230,000 training scenarios by changing the customer service task, the customer's location, the content of the customer service task, and the order in which they occur in the scenario.

关键词： Training Industries Customer services scenario generation Task analysis

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Implementation and Evaluation of 0.6 µm CMOs Complex RCPF for Accurate Frequency Response Measurement

IEEJ Transactions on Electronics, Information and Systems

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IEEJ Transactions on Electronics, information and systems 2025年第1期145卷 25-37页

作者： sato, Lina Fukagawa, Kanta shouno, Kazuhiro Tanimoto, Hiroshi Muto, Cosy Moriyama, seijiro Takahashi, Chikau Yoshino, Michitaka Graduate School of Science and Technology Degree Programs in Systems and Information Engineering Master’s Program in Computer Science University of Tsukuba Japan Division of Information Engineering University of Tsukuba 1-1-1 Tennoudai Ibaraki Tsukuba305-8573 Japan Kitami Institute of Technology 165 Koen-cho Hokkaido Kitami090-8507 Japan Faculty of Education Nagasaki University 1-14 Bunkyo-machi Nagasaki852-8521 Japan Anagix Corporation 3-22-27 Numama Kanagawa Zushi249-0004 Japan Takamori Corporation Japan Research Center for Micro-Nano Technology Hosei University 3-11-15 Midori-cho Koganei Tokyo184-0003 Japan

This paper describes the implementation and evaluation of an RC polyphase filter (RCPF) and circuitry for measuring its frequency characteristics. The integrated circuit is fabricated on a 0.6 µm CMOs process and its supply voltage is 5 V. The integrated circuit includes a filter under test (FUT), a four-phase square wave generator, several analog switches and differential amplifiers to amplify the high-impedance signals of the RCPF. This FUT is a third-order complex RCPF whose passband is 8 − 40 MHz. This paper describes the design of these circuits in detail. This integrated circuit can select two measurement methods by means of external control signals. The first method uses a four-phase square wave. The frequency characteristics are measured by using an on-chip four-phase square wave generator driven by an external clock generator and by a spectrum analyzer tuned to the fundamental frequency. The second method uses an external network analyzer. Furthermore, this integrated circuit is equipped with a calibration circuit to measure the frequency characteristics of the circuitry except FUT by passing through the input / output signals of the FUT. As a result, the frequency characteristics of the FUT itself can be accurately measured. The effectiveness is confirmed through evaluation of the fabricated integrated circuit. © 2025 The Institute of Electrical Engineers of Japan.

关键词： Differential amplifiers

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Development of a smart Electric Vehicle Charging station Management system 24

Development of a Smart Electric Vehicle Charging Station Man...

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Proceedings of the 28th Pan-Hellenic Conference on Progress in Computing and Informatics

作者： Konstantinos Papapostolou Vassilis Kapsalis Postgraduate Student in Master's Course in Information Systems Hellenic Open University Patras Greece Department of Electrical and Computer Engineering University of the Peloponnese Patras Greece

ISBN: (纸本)9798400713170

This paper presents the development of a smart charging station management system (CsMs) for electric vehicle charging stations (Css), consisting of Electric Vehicle supply Equipment (EVsE) units, that optimizes the charging of Electric Vehicles (EVs), by calculating charging schedules based on day-ahead (DA) electricity prices aiming at the minimization of energy costs. The basic CsMs operations that have been implemented are user authorization, transaction management, energy tracking, charger monitoring as well as charging optimization. The communication is based on the Open Charge Point Protocol (OCPP) version 2.0.1.

关键词： Charging station (Cs)

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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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Brainwave Analysis of the Correlation Between Listening to the Rain/Water sounds and Reducing Human-Perceived Temperature 18th

Brainwave Analysis of the Correlation Between Listening to t...

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18th International Conference on Intelligent information Hiding and Multimedia signal Processing, IIH-MsP 2022

作者： Tey, Fu Jie Wu, Tin-Yu Liu, Mei-Yin Chen, Yi-Kai Department of Electrical Engineering National Taiwan University of Science and Technology Taipei City Taiwan Department of Management Information Systems National Pingtung University of Science and Technology Neipu Taiwan Master Program of E-Learning for Multimedia and Network Communications National Ilan University Yilan City Taiwan

ISBN: (纸本)9789819901043

This study focuses on the brainwave analysis of the correlation between listening to the rain and water sounds and reducing human-perceived temperature. Brainwave changes are monitored when experimental subjects listen to rain and water sounds at various frequencies. The experiment result shows that listening to the sounds of rain and water in an environment of high temperature and high humidity can boost α waves to induce feelings of calm and relaxed mental state. In order to investigate subjects’ psychological and physiological changes induced by brainwave changes while listening to rain and water sounds for different time durations in a high temperature and humidity environment, this study uses the Fourier transform to obtain the spectra of natural rain/water sounds and analyzes the sound frequencies. © 2023, The Author(s), under exclusive license to springer Nature singapore Pte Ltd.

关键词： Fourier analysis

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Decision support system in Determining the Achievement of Widyaiswara Value Using WAsPAs and TOPsIs Algorithm 1

Decision Support System in Determining the Achievement of Wi...

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1st International Conference on Technology Innovation and Its Applications, ICTIIA 2022

作者： Pratama, Yudhistira Adhitya Iswara, Bagus Ajie Nababan, Adli Abdillah Information System Studies Program Pelita Harapan University Medan Campus Faculty Of Computer Science Medan Indonesia Master's Study Program Informatics Engineering Universitas Sumatera Utara Faculty Of Computer Science And Information Technology Medan Indonesia Digital Business Study Program Stmik Pelita Nusantara Medan Indonesia

ISBN: (数字)9781665488266

ISBN: (纸本)9781665488266

Widyaiswara is required to show the best performance to fulfill his duties and obligations. Therefore, it is very important to measure the performance of the Widyaiswara, so that it can be used as evaluation material by the BPsDM PROVsU. However, the assessment process that occurs is still not precise and time-consuming. Therefore, to minimize this, a decision support system is needed that can minimize time errors and data processing in decision-making so that the assessment runs well and accurately. This system was built by applying the WAsPAs method and the TOPsIs method. Based on the results of tests carried out five times, the results of the WAsPAs method processing time resulted in an average processing time of 0.00029791 ms and an average memory usage value of 2.836.44 kb, while the results of the TOPsIs method processing time test resulted in an average processing time - an average of 0.000296428 ms and an average memory usage value of 2.862.34 kb. © 2022 IEEE.

关键词： Decision support systems

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Explainable Reinforcement Learning via Causal Model Considering Agent's Intention

Explainable Reinforcement Learning via Causal Model Consider...

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IEEE International Conference on systems, Man and Cybernetics

作者： seongIn Kim Takeshi shibuya Doctor's Program in Intelligent and Mechanical Interaction Systems University of Tsukuba Ibaraki Japan Faculty of Engineering Information and Systems University of Tsukuba Ibaraki Japan

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

Explaining agent's decision can offer valuable insights for designers and end-users. One proposed method for explaining an agent's decision-making involves representing a causal relation between state components and action as a causal model and providing explanations for the decisions made using causal model. However, traditional causal model often faces structural limitation, restricting the range of representable control problems. Additionally, providing accurate explanation becomes challenging in control problems with various types of rewards because agent's intention of an action is unknown. In this study, we introduce a causal model capable of representing a broader range of control problems and a method to provide accurate explanations in control problems with various types of reward structures. Through redefining the relationships between nodes in the causal model, we have enabled a broader representation of control problems. Also, by incorporating agent's intention into the explanation, we have achieved to provide a more precise explanation. To validate the effectiveness of our proposed method, we conducted experiments using OpenAI's LunarLander environment. Using a proposed causal model, we defined the causal model of LunarLander, which could not be represented by conventional causal models. Furthermore, by incorporating the intentions of an agent into the explanation, novel interpretations previously inaccessible have become feasible.

关键词： Accuracy Decision making Reinforcement learning Faces Cybernetics

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Action Robust Reinforcement Learning with Highly Expressive Policy

Action Robust Reinforcement Learning with Highly Expressive ...

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IEEE International Conference on systems, Man and Cybernetics

ISBN: (数字)9781665410205

ISBN: (纸本)9781665410212

In traditional reinforcement learning, there can be a degradation in the control performance of the policy when the environmental parameters differ between the training and application phase. The policy that minimizes this degradation is referred to as a robust policy. A framework called Noisy action Robust Markov Decision Process (NR-MDP) was proposed for training robust policies, and the Action Robust Deep Determin-istic Policy Gradient (AR-DDPG) algorithm was introduced as a method for solving NR-MDP. The optimal policy in NR-MDP includes policies following various probability distributions, whereas AR-DDPG is restricted to deterministic policies. We propose a new robust reinforcement learning method called Action Robust Q-Learning (AR-QL) that enables the training of optimal policies in NR-MDP by leveraging various sampling techniques to extend the representational capacity of policies, targeting an improvement in policy robustness. To validate this, we confirmed that AR-QL can acquire the optimal policy for a simple NR-MDP problem, for which AR-DDPG fails to obtain the optimal policy. Furthermore, we confirmed that the robust performance of policy trained by AR-QL in the OpenAI's InvertedPendulum environment surpasses that of policy trained by AR-DDPG.

关键词： Training Degradation Q-learning Markov decision processes Toy manufacturing industry Probability distribution Robustness Computational efficiency Noise measurement Cybernetics

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Modelling and Analysing Product Development Processes in the Textile and Clothing Industry 2nd

Modelling and Analysing Product Development Processes in the...

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2nd International Conference Innovation in engineering, ICIE 2022

作者： Fernandes, Inês Xavier de sá-soares, Filipe Tereso, Anabela Master’s in Industrial Engineering University of Minho Campus de Azurém Guimarães Portugal Centre ALGORITMI Department of Information Systems University of Minho Campus de Azurém Guimarães Portugal Centre ALGORITMI Department of Production and Systems University of Minho Campus de Azurém Guimarães Portugal

ISBN: (纸本)9783031093593

The textile and clothing industry is one of the most important sectors in the Portuguese economy, operating in a market that is increasingly competitive, globalized and characterized by short lifecycles and consumer volatility. This leads to an increased need for agility and speed by manufacturers, in order to respond to the market demands. Thus, it becomes important to companies in the sector to understand and diagnose its product development processes in order to identify opportunities for improvement, potentially changing the organisation conventional routines This work adopted a case study research strategy to critically analyse and discuss the product development process of a major player in the fashion retail sector. For that goal, processes were mapped using business process modelling tools such as Business Process Model and Notation, highlighting the problems and opportunities in the development of new products in the textile and clothing industry, and providing context for the consideration of new measures to enhance its efficiency. © 2023, The Author(s), under exclusive license to springer Nature switzerland AG.

关键词： Process modelling Product development Textile and fashion industry

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Predicting Potential Fires in Indonesia by Analyzing VIIRs Night Data during 2018 – 2022

Predicting Potential Fires in Indonesia by Analyzing VIIRS N...

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International symposium on Grids and Clouds 2023 in conjunction with HEPiX spring Workshop, IsGC and HEPiX 2023

作者： suhardiman, Basuki Hermanto, Benni Rio Directorate of Information Technology Institut Teknologi Bandung Jl Ganesha 10 Bandung Indonesia Master’s Program in Computational Science Faculty of Mathematics and Natural Sciences Institut Teknologi Bandung Jl Ganesha 10 Bandung Indonesia Biomedical Engineering Department School of Electrical Engineering and Informatics Institut Teknologi Bandung Indonesia

Forest fires have been detected to occur in Indonesia since 1998. The forest fires mostly resulted from human activities in order to expand their land, especially oil palm lands. Once a land clearing is carried out, it covers areas of tens to hundreds of thousands of hectares. The peak of the forest fires occurred in 2015 when almost half of the world was affected especially by smoke from the fire. In 2011, VIIRs (Visible Infrared Imaging Radiometer suite) was launched by NOAA (National Oceanic and Atmospheric Administration). In their collected data, there is data on Indonesia issued daily for areas in the islands of Java, sumatra, Kalimantan, sulawesi, and the general areas of Indonesia. The VIIRs night data shows the possibility of some burning at night. We need to identify burnings that potentially become fires, which are potentially producing smoke. It is important to observe areas where large-scale forest fires frequently occur, so the authority could do some prevention beforehand. Using existing data released per day per area, we utilize an ANN (Artificial Neural Network) to identify a potential fire. The processes start with data cleaning and processing, Neural Network creation, and finally ANN training and testing. By using the ANN prediction model with the MinMax scaler, we choose variables Temperature, Radiant Heat Intensity, and source Footprint. simulations are made to show the ranges of these variables that predict the possibility of’flame’ status occurring. We conclude that the ANN method can give more accurate results than the existing classification. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Fires

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