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9th International Conference on Business and Industrial Research, ICBIR 2024

作者： Windyasari, Vina Septiana Murad, Silvia Ayunda Syam, Syahriani Mahardika, Maulia Budiman, Johan Rahmawati, Diah Islamic Syekh-Yusuf University Information Systems Study Program Tangerang Indonesia Binus University Binus Online Learning Information System Department Jakarta Indonesia Islamic Syekh-Yusuf University Informatics Engineering Study Program Tangerang Indonesia Islamic Syekh-Yusuf University Civil Engineering Study Program Tangerang Indonesia

ISBN: (纸本)9798350383010

The patient's infusion fluid will only be changed if the nurse changes it or based on information from the patient's family. The research method used in terms of fluid volume utilizes the function of the Arduino microcontroller as the brain, the load cell sensor as an infusion fluid weight detector connected to the IoT, fuzzy logic calculations on the infusion volume weight measuring device in line with real-time decision-making when reading gram weight changes with sensors, and the system development method using a prototype model. The test results of three infusion bottles containing mineral water with a liquid volume of 500 ml and a load cell sensor as an infusion weight detector can be accepted by the Arduino Wemos D1 as a load cell sensor processing component. The infusion liquid weight data is uploaded to the MySQL database, and a notification is sent and displayed on the smartphone when the infusion volume reaches 12% of its weight. The results of this study indicate that the design of tools connected to applications on smartphones can work well and facilitate the process of monitoring infusions for patients in real-time © 2024 IEEE.

关键词： Smartphones

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Expert System for Diagnosis of Diphtheria Disease Using Fuzzy Logic 6

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

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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...

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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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Distributed accelerated primal-dual neurodynamic approaches for resource allocation problem

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Science China(Technological Sciences) 2023年第12期66卷 3639-3650页

作者： ZHAO You HE Xing YU JunZhi HUANG TingWen College of Electronic and Information Engineering Southwest UniversityChongqing 400715China State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China Science Program Texas A&M University at QatarDoha 2387Qatar

This paper investigates two distributed accelerated primal-dual neurodynamic approaches over undirected connected graphs for resource allocation problems(RAP)where the objective functions are generally *** the help of projection operators,a primal-dual framework,and Nesterov's accelerated method,we first design a distributed accelerated primal-dual projection neurodynamic approach(DAPDP),and its convergence rate of the primal-dual gap is O(1/(t^(2)))by selecting appropriate parameters and initial ***,when the local closed convex sets are convex inequalities which have no closed-form solutions of their projection operators,we further propose a distributed accelerated penalty primal-dual neurodynamic approach(DAPPD)on the strength of the penalty method,primal-dual framework,and Nesterov's accelerated *** on the above analysis,we prove that DAPPD also has a convergence rate O(1/(t^(2)))of the primal-dual *** with the distributed dynamical approaches based on the classical primal-dual framework,our proposed distributed accelerated neurodynamic approaches have faster convergence *** simulations demonstrate that our proposed neurodynamic approaches are feasible and effective.

关键词： accelerated primal-dual neurodynamic approaches RAP projection operators penalty method convergence rate O(1/(t^(2)))

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Fuzzy C-means Cluster Pattern Analysis and Ward Model Mapping in Viewing the Growth of Infectious and Non-Infectious Diseases Children in North Aceh

Fuzzy C-means Cluster Pattern Analysis and Ward Model Mappin...

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2023 International Workshop on Artificial Intelligence and Image Processing, IWAIIP 2023

作者： Mauliza, Mauliza Ula, Mutammimul Sahputra, Ilham Afdelina, Rosya Universitas Malikussaleh Medical Education Study Program Faculty of Medicine Lhokseumawe Indonesia Universitas Malikussaleh Information Systems Study Program Faculty of Engineering Lhokseumawe Indonesia

ISBN: (纸本)9798350382914

The problems and challenges for the government in seeing disease growth trend patterns are very important. This research focuses on infectious diseases, namely Dengue Hemorrhagic Fever (DHF), while non-communicable illnesses focus on epilepsy and thalassemia in 2023-2024. The priority in this research is that the Health Service can take action to prevent disease distribution patterns that are seen based on the results of identifying patterns and trends using the fuzzy c-means model and mapping for each region. The research methodology includes collecting patient data, inputted by recorded medical data consisting of sub-district data and the number of incidents. The research results of the Fuzzy C-means model in analyzing infectious disease trend patterns show 3 clusters. The first cluster of vulnerable areas has four sub-districts: Sawang, Syamtalira Bayu, Dewantara and Muara Batu. Then, the second cluster still consists of 18 sub-districts. Finally, the safe cluster consists of 8 sub-districts. Meanwhile, the results of the ward model research showed that there were 2 clusters, namely vulnerable consisting of 19 sub-districts and safe eight sub-districts, which were then included in the spatial map. Meanwhile, analysis of non-communicable disease patterns using fuzzy c-means, namely thalassemia and epilepsy in cluster C1 (High) in 4 and 7 sub-districts, medium cluster in 9 and 7, and low cluster in 14 and 16 sub-districts. Therefore, this research can provide an important picture for the Health Service in analyzing trends in cluster patterns of growth of infectious and non-communicable diseases in children. © 2023 IEEE.

关键词： Diseases

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Metaverse for Public Welfare and the United Nations Sustainable Development Goals

Metaverse for Public Welfare and the United Nations Sustaina...

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2022 International Conference on Cloud Computing, Big Data and Internet of Things, 3CBIT 2022

作者： Umar, Amjad Harrisburg University Information Systems Engineering & Management Program Harrisburg United States

ISBN: (纸本)9781665492256

Metaverse is extremely popular at present in the gaming industry but can it accelerate the advancement of public services as defined by the United Nations Sustainable Development Goals (UN SDGs)? In particular, can metaverse provide any value to developing nations and how can the challenges and risks introduced by the metaverse be addressed through govrnment regulations and policies? This paper presents a systematic analysis of metaverse and utilizes the United Nations SDGs as a metric to explore public welfare aspects of metaverse. A digital transformation Lab is presented for rapid deployment and experimentation with metaverse. © 2022 IEEE.

关键词： Sustainable development

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EFFECT OF AEROSOL PARTICLES ON DEFORMED BUBBLES BEHAVIOR DURING POOL SCRUBBING 30

EFFECT OF AEROSOL PARTICLES ON DEFORMED BUBBLES BEHAVIOR DUR...

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30th International Conference on Nuclear engineering, ICONE 2023

作者： Kohno, Kiichi Kadoma, Sasuke Kaneko, Akiko Degree Program in Engineering Mechanics and Energy University of Tsukuba Ibaraki Tsukuba Japan Institute of Systems and Information Engineering University of Tsukuba Ibaraki Tsukuba Japan

ISBN: (纸本)9784888982566

In severe accidents at nuclear power plants such as heat transfer tube failure accidents at pressurized water reactors (PWRs) and venting accidents from wet wells at boiling water reactors (BWRs), aerosols containing large amounts of fission products (FP) are generated. In order to avoid these accidents especially like the Fukushima Daiichi nuclear power plant, pool scrubbing, which steam containing aerosols is injected into a pool water of the reactor vessel and aerosols are captured in the water to reduce the amount of aerosol released to the atmosphere, is proposed. The evaluation of FP release is important for the analysis of the effects of countermeasures against SA at nuclear power plants, and a SA code including higher reliability and precise physical models is strongly required because the migration behavior of FP is a complex flow phenomenon. The MELCOR code, which is one of the SA codes, is designed to analyze pool scrubbing and defines two models: 1) a bubble swarm model that focuses on the formation, breakup, and rise of bubbles caused by gas phase entering a pool, and 2) a single-bubble model that focuses on the movement of aerosol particles inside each bubble. In the bubble swarm model, the entire DF is evaluated by integrating the DF of a single bubble using single-bubble model. Although it is well known that the existing of contamination on the bubble surface is affected on bubble behavior, the effect of aerosol particle in bubbles on the bubble behavior and deformation is not much discussed in this model. The aim of this study is to elucidate the effect of existence of aerosol particle in bubbles on the bubble deformation and behavior which is related to the transport phenomena of aerosol particle in bubbles. In this study, we compared the equivalent diameter, aspect ratio, and rising speed of bubbles containing and not containing aerosols, respectively. Solubility of aerosol particle is as parameter. Two high-speed cameras and LED backlights were u

关键词： Nuclear power plants

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A Player Position Tracking Method Based on a Wide-Area Pan-Tilt-Zoom Video 12

A Player Position Tracking Method Based on a Wide-Area Pan-T...

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Proceedings of the 12th International Conference on Sport Sciences Research and Technology Support, icSPORTS 2024

作者： Yamagishi, Shunzo Xie, Chun Shishido, Hidehiko Kitahara, Itaru Master's and Doctoral Program in Intelligent Mechanical Interaction Systems University of Tsukuba Ibaraki Japan Center for Computational Sciences University of Tsukuba Ibaraki Japan Faculty of Science and Engineering Department of Information Systems Engineering Soka University Tokyo Japan

ISBN: (纸本)9789897587191

This paper proposes a method to estimate the posture of an athlete moving on a vast field in a sporting event using a pan-tilt-zoom camera. In order to estimate the posture of an athlete on a sports field from a dynamic video sequence, our method extracts image features to search correspondence points among successive frames and computes the homography transformation matrix that compensates for changes the camera parameters (e.g., angle of view and posture). The effectiveness of this method is qualitatively verified using MLB TV broadcast video. The accuracy and error factors are also quantitatively verified by CG simulation. Copyright © 2024 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Pan-Tilt-Zoom Camera Player Tracking Sports Analytics Video Processing Wide-Area

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On a New Rough Clustering Based on Optimization 13

On a New Rough Clustering Based on Optimization

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Joint 13th International Conference on Soft Computing and Intelligent systems and 25th International Symposium on Advanced Intelligent systems, SCIS and ISIS 2024

作者： Furuta, Sakuya Endo, Yasunori Master's Program in Risk and Resilience Engineering Degree Programs in Systems and Information Engineering Graduate School of Science Annd Technology University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan Institute of Systems and Information Engineering University of Tsukuba 1-1-1 Tennodai Tsukuba Ibaraki305-8573 Japan

ISBN: (纸本)9798350373332

The purpose of this study is to develop and investigate a new rough clustering based on optimization. We propose a restructured algorithm using only one variable, instead of the algorithm described using two variables in existing methods. We also perform numerical examples using artificial data and the Iris and Wine datasets. This research has the potential to be used as a method for determining false negatives and false positives in cancer diagnosis. © 2024 IEEE.

关键词： Clustering algorithms

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A Survey on the Control Lyapunov Function and Control Barrier Function for Nonlinear-Affine Control systems

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IEEE/CAA Journal of Automatica Sinica 2023年第3期10卷 584-602页

作者： Boqian Li Shiping Wen Zheng Yan Guanghui Wen Tingwen Huang Australian AI Institute Faculty of Engineering and Information TechnologyUniversity of Technology SydneyNSW 2007Australia Department of Systems Science School of MathematicsSoutheast UniversityNanjing 210096China Science Program Texas A&M University at QatarDoha 23874Qatar IEEE

This survey provides a brief overview on the control Lyapunov function(CLF)and control barrier function(CBF)for general nonlinear-affine control *** problem of control is formulated as an optimization problem where the optimal control policy is derived by solving a constrained quadratic programming(QP)*** CLF and CBF respectively characterize the stability objective and the safety objective for the nonlinear control *** objectives imply important properties including controllability,convergence,and robustness of control *** this framework,optimal control corresponds to the minimal solution to a constrained QP *** uncertainties are explicitly considered,the setting of the CLF and CBF is proposed to study the input-to-state stability and input-to-state safety and to analyze the effect of *** recent theoretic progress and novel applications of CLF and CBF are systematically reviewed and discussed in this ***,we provide research directions that are significant for the advance of knowledge in this area.

关键词： Control barrier function(CBF) control Lyapunov function(CLF) nonlinear-affine control systems

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