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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

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

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.

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Advanced semisoft handoff method of cellular IP access networks

Advanced semisoft handoff method of cellular IP access netwo...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Joungwoong Lee S. Kimura Y. Ebihara Doctoral Program in Systems and Information Engineering University of Tsukuba Japan Institute of Information Sciences and Electronics University of Tsukuba Japan

Mobile IP is the current standard for supporting global mobility, however the performance degrades to support micro mobility. Cellular IP could be a good solution to accommodate efficiently hundreds of, thousands of mobile hosts that perform fast and frequent handoff in a small local area network. In semisoft handoff of cellular IP, a mobile host sends a semisoft packet to the new base station before performing actual handoff to guarantee that the routing cache mapping associated with the new base station is created before actual handoff takes place. But packet loss and handoff delay are still occurred by this model. We propose an advanced semisoft handoff method with no packet loss but with additional small packet delay just before or after handoff. In this method, the cross-over node calculates the time for the last message to be delivered to the mobile host via the old base station just before handoff based on four typical network models. On receiving that packet, the mobile host performs handoff to the new base station. Our simulation experiment results show that the proposed semisoft handoff method actually outperforms the traditional semisoft handoff method in both handoff packet loss and handoff delay. We study the performance of the advanced semisoft handoff method with the network models.

关键词： Cellular networks Base stations Routing Degradation Local area networks Protocols Analytical models Systems engineering and theory Added delay IP networks

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The planning strategy of robotics technology for nuclear decommissioning in Taiwan

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Nuclear engineering and Technology 2024年第1期56卷 64-69页

作者： Tu, Chung Yi Chen, Kuen Tsann Ting, Kuen Yang Sheng, Chin Doctoral Program in Data Science and Industrial Analytics National Chung Hsing University Taichung County 402 Taiwan Department of Applied Mathematics National Chung Hsing University Taichung County 402 Taiwan Department of Mechanical Engineering Lunghwa Univesity of Science and Technology Taoyuan County 33306 Taiwan

According to the market research report, the nuclear decommissioning services market is currently experiencing considerable growth, with a projected Compound Annual Growth Rate (CAGR) of nearly 13% during the 2020–2024 forecast period. This expansion is primarily fueled by the advancement of Industry 4.0, in conjunction with the emergence of cutting-edge technologies such as the Internet of Things, big data, artificial intelligence, and 5G. Even though the fact that robots have already been utilized in the nuclear industry, their adoption has been hindered by conservative regulations. However, the nuclear decommissioning market presents an opportunity for the advancement of robotics technology. The British have already invested heavily in encouraging the use of intelligent robots for nuclear decommissioning, and other countries, such as Taiwan, should follow suit. Taiwan's flourishing robotics development industry in manufacturing, logistics, and other domains can be leveraged to introduce advanced robotics in the decommissioning of its nuclear power plants. By doing so, Taiwan can establish itself as a competitive player in the nuclear decommissioning services market for the next two decades. © 2023 Korean Nuclear Society

关键词： Intelligent robotics Nuclear decommissioning Planning strategy

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

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

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International Conference on Informatics and Computing (ICIC)

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

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.

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Expert System for Diagnosis of Diphtheria Disease Using Fuzzy Logic

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

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International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

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

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.

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An experimental study on a decision support in less predictable situations

An experimental study on a decision support in less predicta...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： M. Itoh T. Inagaki Doctoral Program in Engineering University of Tsukuba Tsukuba Japan Institute of Information Sciences and Electronics University of Tsukuba Tsukuba Japan

An experimental study is conducted to investigate how decision support information should be given to a human operator in less predictable situations. Suppose an operator, who is controlling a plant, can identify the current state of the plant without any ambiguity but cannot predict the future state precisely. One of the most significant tasks imposed on the operator is to monitor the plant and to take an appropriate control action when necessary. We will examine in this paper what kind of information should be given for supporting the operator's decision making under uncertainty.

关键词： Cities and towns Humans Acceleration Supervisory control Fuels Monitoring Decision making Uncertainty Aircraft Aerospace control

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Assessment on Improvement of Early Detection Systems in Electrical Rooms of High-Tech Facilities 8

Assessment on Improvement of Early Detection Systems in Elec...

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2017 8th International Conference on Fire Science and Fire Protection engineering, ICFSFPE 2017

作者： Chen, Yu-Jen Shu, Chi-Min Ho, San-Ping Ho, Hsin-Hsiu Chang, Hue-Pei Doctoral Program Graduate School of Engineering Science and Technology National Yunlin University of Science and Technology Douliou Yunlin64002 Taiwan Department of Safety Health and Environmental Engineering YunTech Douliou Yunlin64002 Taiwan Department of Occupational Safety and Health Chang Jung Christian University Tainan71101 Taiwan

Past air sampling detection (ASD) systems had no definitive positioning;most allocation of sampling points was based on experience. This research discovered that sampling points inside the electrical rooms were significantly affected by the ambient airflow, causing the detection system to have difficulties in fire detection. Fire dynamics simulator (FDS) was used to simulate very early smoke detection apparatus (VESDA) effectiveness within the protection area of an electrical room. Results showed that ASD sampling points in electrical rooms should be placed above high-voltage transformers and capacitors, while rearranging the high risk machines together to avoid long detection pipelines, which increases the transportation time of the gas, thus hindering early detection by the ASD system. Field tests using a smoke detector tester yielded transportation times of 33 s, which was in very good agreement with the simulated results of 35 s by ASPIRE, showing the accuracy of using software to simulate transportation times. Therefore, this research combined FDS with the transportation times of different pipeline designs to conduct performance assessment of VESDA. After appropriate rearrangement of machines, VESDA detection times dropped from 106.0-171.0 s during the original setup to 21.0-31.7 s, assuring the facility to have more time for emergency response. However, it was noticed that FDS software did not have the estimation tool for VESDA transportation times;therefore software such as ASPIRE should be used to calculate the gas transportation times inside the detection pipelines, and then compiled with FDS results to avoid underestimation of actuation times. © 2017 The Authors. Published by Elsevier Ltd.

关键词： Pipelines

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A LoRaWAN Enabled Sensor-Based System for Detecting Rodent Activity 21

A LoRaWAN Enabled Sensor-Based System for Detecting Rodent A...

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21st International System-on-Chip Design Conference, ISOCC 2024

作者： Wang, Szu-Ting Wu, Shang-Sian Tseng, Kuo-Cheng Hsu, Li-Chuan Ke, Song-Min Lai, Shin-Chi National Formosa University The Doctoral Degree Program in Smart Industry Technology Research and Development Huwei Taiwan National Formosa University Dept. Automation Engineering Huwei Taiwan National Formosa University Dept. Automation Engineering & Smart Machinery Intelligent Manufacturing Research Center Huwei Taiwan

ISBN: (纸本)9798350377088

This study presents the design and implementation of a sensor-based system for detecting rodent activity. The proposed system utilizes infrared (IR) receivers for detecting rodent presence and can incorporate IP cameras to capture intruder images. Data collected by sensor nodes are transmitted to a database via Wi-Fi for web access. The system employs a reflective-type IR sensor comprising an emitter and a receiver aligned in the same direction to discern approaching or receding objects. Power-efficient operation is ensured through the use of the Heltec Wireless Stick Lite MCU and LoRa transceivers for data transmission. Results demonstrate the system's effectiveness in monitoring rodent behavior, with power consumption averaging 67.4mA to 69.5mA, supported by two 18650 batteries for up to 4 days of continuous operation. During the 18-day experiment duration, a total of 1,453 instances were recorded. © 2024 IEEE.

关键词： Wi-Fi

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The Convex Polyhedra Technique: An Index Structure for High-Dimensional Space 02

The Convex Polyhedra Technique: An Index Structure for High-...

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Australasian Database Conference

作者： Jiyuan An Hanxiong Chen Kazutaka Furuse Masahiro Ishikawa Nobuo Ohbo Doctoral Program in Engineering University of Tsukuba 1-1-1 Tennoudai Tsukuba City Ibaraki Japan 305-8573

ISBN: (纸本)0909925836

This paper proposes a new dimensionality reduction technique and an indexing mechanism for high dimensional data sets in which data points are not uniformly distributed. The proposed technique decomposes a data space into convex poly-hedra, and the dimensionality of each data point is reduced according to which polyhedron includes the data point. One of the advantages of the proposed technique is that it reduces the dimensionality locally. This local dimensionality reduction contributes to improve indexing mechanisms for non-uniformly distributed data sets. To show the applicability and the effectiveness of the proposed technique, this paper describes a new indexing mechanism called CVA-file (Compact VA-File) which is a revised version of the VA-file. With the proposed dimensionality reduction technique, the size of data points stored in index files can be reduced. Furthermore, it can estimate upper and lower bounds of each entry in index files by using geographic properties of convex polyhedra. Results from experimental simulations show that the CVA-file is better than the VA-file for non-uniformly distributed real data sets.

关键词： high-dimensional space spatial index image retrieval local dimensionality reduction VA-file CVA-file Spacial indices image retrieval dimensionality reduction polyhedrons three-dimensional space Convexity Indexing dimensional data

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Comprehensive Evaluation of the Lakeside Café Point of Sale (POS) Application: A Synergistic Analysis Using SUS and EUCS Models 25

Comprehensive Evaluation of the Lakeside Café Point of Sale...

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25th International Seminar on Intelligent Technology and Its Applications, ISITIA 2024

作者： Wibowo, Jonathan Arya Yasirandi, Rahmat Utomo, Rio Guntur Pratama Anom, Rahmat Indra Telkom University School of Industrial Engineering Bandung Indonesia King Mongkut's Institute of Technology Ladkrabang Faculty of Information Technology Bangkok Thailand Telkom University School of Computing Bandung Indonesia Trisakti Institute of Tourism Doctoral Program of Tourism Jakarta Indonesia

ISBN: (纸本)9798350378573

Lakeside Café, located in the Telkom University, processes approximately 80-100 drink transactions daily. Having used their current point-of-sale (POS) application for over a year, an urgent evaluation of its performance and user satisfaction is necessary to ensure ongoing efficiency. This study employs the System Usability Scale (SUS) model and the Extended Unified Theory of Acceptance and Use of Technology (EUCS) model. This combined approach enhances the understanding of the application's strengths and identifies areas for improvement, forming a solid foundation for evaluating user satisfaction. The study reveals notable usability of the Lakeside Café POS application, evidenced by an SUS score of 78.8, ranking it as "ACCEPTABLE"and "GOOD."The EUCS model analysis further highlights potential enhancements, with the Content and Functionality dimensions scoring 3.5 and 3.65, respectively, indicating room for workflow process development. These findings emphasize the need for improved content delivery and strengthened application functionality to boost user satisfaction and maximize system performance. This research enriches the dialogue on technological acceptance, providing valuable insights for developers and stakeholders focused on advancing POS applications. The use of SUS and EUCS models offers a comprehensive evaluation method, fostering continuous advancements and innovations in digital solutions within the food and beverage sector. © 2024 IEEE.

关键词： Sales

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