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Rolling-Shutter Sensor-Based Visible Light Communication with Cross-Screen Filter: Communication and Positioning System Using a Commercial Camera 10

Rolling-Shutter Sensor-Based Visible Light Communication wit...

引用

10th IEEE Global Conference on Consumer Electronics, GCCE 2021

作者： Hamagami, Ritsuki Ebihara, Tadashi Wakatsuki, Naoto Maeda, Yuka Mizutani, Koichi University of Tsukuba Master's Program In Intelligent And Mechanical Interaction Systems Tsukuba Japan Faculty of Engineering Information And Systems University of Tsukuba Tsukuba Japan

ISBN: (纸本)9781665436762

We propose a visible light communication system using a commercial camera that achieves communication and positioning simultaneously, which is essential for intelligent transport systems (ITS). The transmitter (Tx) emits the data as fast-blinking light of the LED. The receiver (Rx) captures the signal using a rolling-shutter sensor with a cross-screen filter. Different from the previous system without a cross-screen filter, which can only achieve short-range and single-user communication, the proposed system can achieve long-range communication by diffusing the incoming light in a specific direction using a cross-screen filter. Furthermore, the proposed system has the potential to achieve multi-user communication and positioning, which used to require a high-speed camera, using a commercial camera. We evaluated the performance of the proposed system in indoor experiments. The experimental results suggest that the proposed system can improve communication range compared to the previous system. © 2021 IEEE.

关键词： Visible light communication

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Reinforcement Learning to Efficiently Recover Control Performance of Robots Using Imitation Learning After Failure

Reinforcement Learning to Efficiently Recover Control Perfor...

引用

2022 IEEE International Conference on systems, Man, and Cybernetics, SMC 2022

作者： Kobayashi, Shoki Shibuya, Takeshi University of Tsukuba Master's Program in Intelligent and Mechanical Interaction Systems Ibaraki Japan University of Tsukuba Faculty of Engineering Information and Systems Ibaraki Japan

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Extreme environments, such as space and underwater, are difficult for humans to enter because they involve risks, hence it is necessary to employ autonomous robots instead of humans. When robots fail in extreme environments, it is essential for the robot to automatically recover control following the rules of failure because humans cannot repair the robot directly. Reinforcement learning is expected to automatically acquire the control rule;however, the retrieval of the control rule requires significant trial-and-error. Imitation learning cannot acquire the control rule if no suitable expert data exist. Methods combining imitation learning and reinforcement learning reduce the number of trial-and-errors;however, they are still not effective against robot failure because these methods cannot utilize expert data effectively. This paper proposes a reinforcement learning method that efficiently recovers control performance from failures by utilizing both the control rules prepared by the designer and multiple discriminators to calculate measures similar to expert data. Experimental results show that the proposed method recovers the control performance with fewer episodes than the conventional method. The main contribution of the proposed method is its efficiency against robot failure through utilizing expart data prepared for failure by the designers for imitation learning. © 2022 IEEE.

关键词： Reinforcement learning

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Gastritis Diagnosis Expert System Using Android-Based Certainty Factor Method 6

Gastritis Diagnosis Expert System Using Android-Based Certai...

引用

6th International Seminar on Research of information Technology and Intelligent systems, ISRITI 2023

作者： Isnanto, R. Rizal Purwanto Windarto, Yudi Eko Setiawan, Annas Diponegoro University Information Systems Doctoral Program Semarang Indonesia Diponegoro University Computer Engineering Department Semarang Indonesia

ISBN: (纸本)9798350358346

In the modern era, an increasing number of diseases are emerging because of human lifestyle choices and bacterial transmission. Gastritis, characterized by inflammation in the stomach lining leading to frequent abdominal pain, is one such ailment. Recognizing the significance of addressing these health issues, there is a need for an expert system application specifically designed for diagnosing gastritis. The primary objective is to disseminate information to the public regarding the early symptoms of gastritis, promoting awareness from a young age. The research method used is the web-based Expert System Development Life Cycle (ESDLC). The diagnostic process employs the Certainty Factor (CF) method to ensure accurate results. By utilizing symptom CF values chosen by the user, the Certainty Factor approach facilitates a diagnosis based on calculations established by medical specialists. The research culminates in the development of an expert system application capable of accurately diagnosing the disease Android based. The accuracy rates for the first, second, and third test cases are reported as 98.848%, 99.8464%, and 99.99115264%, respectively. System testing, conducted through black-box testing, validates the application's functionality, demonstrating a 100% success rate for each component. © 2023 IEEE.

关键词： Expert 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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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

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

ISBN: (纸本)9781665410205

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. © 2024 IEEE.

关键词： Reinforcement learning

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Expert System for Diagnosis of Diphtheria Disease Using Fuzzy Logic 6

Expert System for Diagnosis of Diphtheria Disease Using Fuzz...

引用

6th International Seminar on Research of information Technology and Intelligent systems, ISRITI 2023

作者： Isnanto, R.Rizal Mustafid Prasetijo, Agung Budi Fitria Ali, Safira Isna Diponegoro University Information Systems Doctoral Program Semarang Indonesia Diponegoro University Computer Engineering Department Semarang Indonesia

ISBN: (纸本)9798350358346

Diphtheria is an infectious disease that affects the upper respiratory system and throat, arising suddenly and caused by Corynebacterium diphtheriae. The symptoms of diphtheria such as fever, swollen neck and slimy nose are often interpreted as influenza or laryngitis. Diphtheria is a contagious and deadly disease that requires specialized and rapid treatment and care. In today's technological era, it can be overcome with a system that can diagnose diphtheria like a doctor's diagnosis ability commonly called an expert system. This study describes the application of an expert system to diagnose diphtheria disease. The research method used is the web-based Expert System Development Life Cycle (ESDLC). The method used to process input values is Forward Chaining. Fuzzy Tsukamoto to calculate the input value from the user. The research has been tested with Blackbox testing showing the results that the expert system works well and accuracy testing with 92% results. The results show effectiveness with a satisfactory level of accuracy in detecting diphtheria disease. This research contributes to the development of expert systems in the health sector with a focus on diagnosing diphtheria disease using a fuzzy logic approach. © 2023 IEEE.

关键词： Diagnosis

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Developing an Expert System for Mobile-based Gastroenteritis Detection Using ESDLC and Best First Search Methods 8

Developing an Expert System for Mobile-based Gastroenteritis...

引用

8th International Conference on Informatics and Computing, ICIC 2023

作者： Isnanto, R. Rizal Widodo, Catur Edi Windasari, Ike Pertiwi Saputri, Misik Puspajati Diponegoro University Information Systems Doctoral Program Semarang Indonesia Diponegoro University Computer Engineering Department Semarang Indonesia

ISBN: (纸本)9798350342604

Gastroenteritis is a common gastrointestinal disorder with varying degrees of severity, including cases without dehydration, mild dehydration, moderate dehydration, and severe dehydration. This research focuses on the development of a mobile-based expert system for detecting gastroenteritis, capable of distinguishing between these different dehydration levels. The methodology employed integrates the Extreme Structure Development Life Cycle (ESDLC) and the Best First Search algorithm. The expert system is designed to provide swift and accurate responses to users inputting symptoms, categorizing gastroenteritis cases based on the severity of dehydration. The application of ESDLC ensures a structured and organized development process, while the Best First Search method enhances the efficiency of the diagnostic process, facilitating timely and precise recommendations. Accessible through mobile platforms, the system allows users to input symptoms conveniently and receive rapid recommendations. Rigorous testing and evaluation affirm the system's high accuracy in discerning dehydration levels in gastroenteritis patients. In conclusion, the developed mobile-based expert system exhibits promising potential for advancing diagnostic services, particularly in the categorization of dehydration levels in gastroenteritis cases. The successful implementation of ESDLC and Best First Search paves the way for similar solutions in other healthcare domains, contributing positively to early and accurate disease management efforts. This innovation marks a significant stride towards improving healthcare technology for enhanced decision support in gastroenteritis diagnosis. © 2023 IEEE.

关键词： Life cycle

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Effect of parameters of phase-modulated M-sequence signal on direction-of-arrival and localization error

Effect of parameters of phase-modulated M-sequence signal on...

引用

2016 International Conference on Indoor Positioning and Indoor Navigation, IPIN 2016

作者： Ogiso, Satoki Kawagishit, Takuji Koichi, Mizutani Wakatsuki, Naoto Zempo, Keiichi Ph.D. Program in Empowerment Inforamatics School of Integrative and Global Majors University of Tsukuba Japan Graduate School of Systems and Information Engineering University of Tsukuba Japan Faculty of Engineering Information and Systems University of Tsukuba Japan

ISBN: (纸本)9781509024254

In this paper, signals for acoustic beacons with M sequence are evaluated with various parameters for self-localization of mobile robot. The effect of (i) baud rate, (ii) carrier frequency and (iii) order of M sequence on DOA estimation error and localization error are evaluated by computer simulation. As a result, localization is possible with same class or more precision compared to the result from sound beacon with three chirp signals within 5 kHz-18 kHz by choosing the appropriate parameters, which are (i)baud rate is more than around 8 kHz and (ii)carrier frequency is 10 kHz. Particularly, (i) baud rate and (ii) carrier frequency have influence on the localization error. However, the localization error do not change into even a further baud rate in this condition if baud rate is higher than carrier frequency. In this simulation, no influence is confirmed from (iii)order of M sequence. The result indicates that M sequence can be used as signal of acoustic beacons instead of chirp, which occupies frequency band. © 2016 IEEE.

关键词： Direction of arrival

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Study of Shared Energy Storage Considering Battery Degradation on Remote Island

Study of Shared Energy Storage Considering Battery Degradati...

引用

2024 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2024

作者： Asri, Rishal Aki, Hirohisa Kodaira, Daisuke Institute of Systems and Information Engineering University of Tsukuba Tsukuba Japan Energy System Engineering Study Program Institut Teknologi Sumatera Lampung Indonesia

ISBN: (纸本)9798350357905

Solar photovoltaic generation and energy storage are being used to power rural places. However, remote users are burdened by private energy storage devices. Remoteness limits the economic viability of cooperative energy storage. Our work proposes a shared energy storage model considering battery degradation. To test the model, we compared Individual, Neighbor, and Communal scenarios. The system was built as a mixed integer linear programming model to investigate optimal operating methods. Compared to the other situations, the Neighbor scenario saves operational expenses by 4.97%. Finally, the self-consumption rate shows optimal penetration of renewable energy parameters. © 2024 IEEE.

关键词： Integer programming

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Application of factor analysis method to support the users acceptance model of ERP systems implementation 4

Application of factor analysis method to support the users a...

引用

4th International Conference on Combinatorics, Graph Theory, and Network Topology, ICCGANT 2020

作者： Sardjono, W. Sudirwan, J. Priatna, W. Putra, G.R. Information Systems Management Department BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Jakarta11480 Indonesia School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta11480 Indonesia Informatics Engineering Engineering Bhayangkara University Jakarta Raya Indonesia Computer Science Study Program Faculty of Mathematics and Natural Sciences Pakuan University Bogor Indonesia

An e-Commerce company has been using an Enterprise Resource Planning (ERP) system for several years, but is still constrained in its implementation, this is reflected in the number of issue/change request tickets submitted by users who have not been able to reach ideal conditions. To overcome this problem, we need an appropriate reference model, the ERP system user acceptance model in companies. The study conducted factors that influence the level of acceptance of SAP ERP users in the XYZ group to then determine a model that is able to explain practically the level of ERP system user acceptance, which in turn can produce concrete proposals to increase ERP system user acceptance. Research is quantitative descriptive using factor analysis and regression analysis methods. The research method uses a questionnaire with a total of 107 valid respondents coming from 8 company names under the XYZ group in 6 Southeast Asian countries. The conclusion of the study is that there are 24 indicators and 4 factors that influence user acceptance of the SAP ERP system. These four factors are the low contribution of the ERP system, the quality of ERP systems and data, the development of ERP systems, and also the low quality of ERP system supporters. It is hoped that by optimizing the value of the 4 factors, the XYZ group can increase user acceptance of the SAP ERP system so that the system can provide benefits expected by the company to be competitive advantage. © 2021 Published under licence by IOP Publishing Ltd.

关键词： Factor analysis

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Optimal trajectory planning of manipulators subject to motion constraints

Optimal trajectory planning of manipulators subject to motio...

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12th International Conference on Advanced Robotics, 2005. ICAR '05

作者： Shen, Yueshi Hüper, Knut Department of Information Engineering Research School of Information Sciences and Engineering Australian National University Canberra ACT 0200 Australia National ICT Australia Limited Systems Engineering and Complex Systems Program Locked Bag 8001 Canberra ACT 2601 Australia

ISBN: (纸本)0780391772

This paper presents a novel approach to plan an optimal joint trajectory for a manipulator robot performing a compliant motion task. In general, a two-step scheme will be deployed to find the optimal robot joint curve. Firstly, we approximate the functional and use Newton's iteration to numerically calculate the joint trajectory's intermediate discretized points, instead of solving a corresponding nonlinear, implicit Euler-Lagrange equation. Secondly, we interpolate these points to get the final joint curve in a way such that the motion constraints will always be sustained throughout the movement. An example of motion planning for a 4-degree-of-freedom robot WAM will be given at the end of this paper. © 2005 IEEE.

关键词： Manipulators

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