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International Conference on Electrical engineering, Computer Science and Informatics (EECSI)

作者： Tole Sutikno Tri Wahono Haris Imam Karim Fathurrahman Watra Arsadiando Hendril Satrian P Master Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Undergraduate Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Embedded System and Power Electronics Research Group (ESPERG) Yogyakarta Indonesia

ISBN: (数字)9798350355314

ISBN: (纸本)9798350355321

This research discusses the safety challenges faced by bicycle smart parking systems, which are often irregular and unsafe, especially in Indonesia. The purpose of this research is to develop an RFID-based smart parking system for electric bicycles that improves user safety and accessibility. The system is designed using components such as the NodeMCU 8266 microcontroller, RFID module, and solenoid lock, and is tested under real-world conditions. Using the $\mathrm{C}++$ programming language to be embedded in a microcontroller. Quantitative results show that the system achieved an 80% success rate in RFID detection on various materials with optimal performance through acrylic barriers. The system demonstrates better safety compared to traditional bicycle parking solutions, which contributes to increased public confidence in the safety of electric bicycles.

关键词： Microcontrollers Urban areas Metals Bicycles Materials reliability Automated parking Safety Solenoids Informatics Radiofrequency identification

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Internet of Things-Based Early Forest Fire Detection system with *** Platform

Internet of Things-Based Early Forest Fire Detection System ...

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International Conference on Electrical engineering, Computer Science and Informatics (EECSI)

作者： Tole Sutikno Son Ali Akbar Tosan Aji Bayusuta Liya Yusrina Sabila P Hendril Satrian Master Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Undergraduate Program of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Embedded System and Power Electronics Research Group (ESPERG) Yogyakarta Indonesia

ISBN: (数字)9798350355314

ISBN: (纸本)9798350355321

Forest and land fires in Indonesia are a major concern for the government when entering the dry season. The researchers have widely developed early detection technology, including satellite and airborne-based technology, but it faces several limitations due to the influence of weather and other unavoidable factors. Furthermore, fire detection technology based on wireless sensor networks (WSNs) and the Internet of Things (loT) is one of the most effective solutions. This study developed a sensor node that includes an Arduino UNO, a smoke sensor, a fire sensor, and temperature and humidity sensors and code program using C++, to detect potential forest fires. We place these nodes at fire-prone points in the forest. Additionally, the gateway node receive data from the sensor node, process it using the NodeMCU ESP8266, and send it to the *** database for real-time report. The developed system's test results demonstrate that it can display and send data in real-time to the *** platform via an internet connection. Additionally, the base station's physical 12C 20x4 LCD screen displays the information. The forest fire early warning system functions well, and the test results show good detection and data transmission capabilities.

关键词： Temperature sensors Wireless communication Wireless sensor networks Temperature Transmitters Forestry Logic gates Real-time systems Data communication Internet of Things

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Unlocking the potential of RNN and CNN models for accurate rehabilitation exercise classification on multi-datasets

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Multimedia Tools and Applications 2025年第3期84卷 1261-1301页

作者： Zaher, Moamen Ghoneim, Amr S. Abdelhamid, Laila Atia, Ayman Software Engineering Program Faculty of Computers & Artificial Intelligence—Helwan University Cairo Ain Helwan11795 Egypt Computer Science Department Faculty of Computers & Artificial Intelligence—Helwan University Cairo Ain Helwan11795 Egypt Information System Department Faculty of Computers & Artificial Intelligence—Helwan University Cairo Ain Helwan11795 Egypt Cairo Ain Helwan11795 Egypt Giza October12451 Egypt

Physical rehabilitation is crucial in healthcare, facilitating recovery from injuries or illnesses and improving overall health. However, a notable global challenge stems from the shortage of professional physiotherapists, particularly acute in some developing countries, where the ratio can be as low as one physiotherapist per 100,000 individuals. To address these challenges and elevate patient care, the field of physical rehabilitation is progressively integrating Computer Vision and Human Activity Recognition (HAR) techniques. Numerous research efforts aim to explore methodologies that assist in rehabilitation exercises and evaluate patient movements, which is crucial as incorrect exercises can potentially worsen conditions. This study investigates applying various deep-learning models for classifying exercises using the benchmark KIMORE and UI-PRMD datasets. Employing Bi-LSTM, LSTM, CNN, and CNN-LSTM, alongside a Random Search for architectural design and Hyper-parameter tuning, our investigation reveals the (CNN) model as the top performer. After applying cross-validation, the technique achieves remarkable mean testing accuracy rates of 93.08% on the KIMORE dataset and 99.7% on the UI-PRMD dataset. This marks a slight improvement of 0.75% and 0.1%, respectively, compared to previous techniques. In addition, expanding beyond exercise classification, this study explores the KIMORE dataset’s utility for disease identification, where the (CNN) model consistently demonstrates an outstanding accuracy of 89.87%, indicating its promising role in both exercises and disease identification within the context of physical rehabilitation. © The Author(s) 2024.

关键词： Classification (of information)

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Basal and Edge Plane Activity of Two-Dimensional Dirac Semimetal Nite2 for Hydrogen Evolution Reaction

SSRN

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SSRN 2025年

作者： Cho, Suyeon Jeong, Seung Weon Kim, Jeong Hyo Lee, Seungyeon Yang, Heejun Lee, Sangheon Division of Chemical Engineering and Materials Science Graduate Program in System Health Science and Engineering Ewha Womans University Seoul03760 Korea Republic of Daejeon34141 Korea Republic of

. Nickel ditelluride (NiTe2), one of group-10 transition metal dichalcogenides, has shown intriguing surface states originating from its topological semi-metallicity. Here, we demonstrate abnormal catalytic activities at the NiTe2 surface for hydrogen evolution reaction (HER). We investigate the differences in catalytic activities at the basal and edge planes of NiTe2 using a micro-sized electrochemical reactor. The basal plane is found to be more active than the edge plane, resulting in a current density at the basal plane of NiTe2 exceeding 800 mA/cm2 with a small overpotential of -0.162 V. We conduct ab initio calculations to estimate the intrinsic catalytic activities of HER on the basal and edge planes of NiTe2. Interestingly, our calculation results suggest that the active sites at the edge plane are electrochemically more active than those at the basal plane. The discrepancy between the experimental measurements and theoretical predictions for the crystal-orientation-dependent HER activity highlights that the specialty of a topological semimetal plays a vital role in determining the HER rate for NiTe2 nanoparticle catalysts © 2025, The Authors. All rights reserved.

关键词： Hydrogen evolution reaction

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Sentiment Analysis in Indonesian Trading using Lexicon-based and Support Vector Machine

Sentiment Analysis in Indonesian Trading using Lexicon-based...

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2023 International Conference on Computer Science, Information Technology and engineering, ICCoSITE 2023

作者： Oetama, Raymond Sunardi Yanfi, Yanfi Ikhsan Assiddiq Up, Masagus M. Muhamad Isa, Sani Universitas Multimedia Nusantara Information System DepartmentFaculty of Engineering and Informatics Jakarta Indonesia Bina Nusantara University BINUS Graduate Program Computer Science School of Computer Science Computer Science Department Jakarta Indonesia Bina Nusantara University BINUS Graduate Program Computer Science Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350320954

Many individuals now trade online utilizing trading software in the digital world. Binomo is one of Indonesia's most popular trading platforms. This is because some influencers made several promises to Binomo customers. Since many customers were deceived, this case became quite popular. This study was executed to see how Indonesians felt about the Binomo application after the case went viral. The solution taken was in the form of sentiment analysis because there had been no previous research on sentiment analysis that discussed the Binomo case. The data was scanned using Netlytic tools, a cloud-based text and social network analyzer capable of identifying any talks on social media sites such as Twitter. The sentiment analysis of Binomo trading tweets by using the Multi-Perspective Question Answering lexicon utilized the KNIME tool. But unfortunately, the accuracy of sentiment analysis results is low. Furthermore, the Support Vector Machine technique is also being conducted. The Term Frequency-Inverse Document Frequency method is applied to perform feature extraction whilst the chi-square approach is utilized to identify features that are thought to be useful for inclusion in the classification process and to exclude features that are irrelevant to the target class. The obtained accuracy is 86%. The study proposes that words from the algorithm's outputs can be utilized to improve the quality of sentiment analysis using the lexicon. As an outcome of the algorithm, positive and negative terms are added to the lexicon, increasing the accuracy of sentiment analysis using the new vocabulary from 58.984% to 71.146%. © 2023 IEEE.

关键词： Support vector machines

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ACO with Reinforcement Learning Applied to Rescues Operations on Urban Forests 13

ACO with Reinforcement Learning Applied to Rescues Operation...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Alves, Cláudio Mendonça, Israel De Almeida Guimarães, Vanessa González, Pedro Henrique System Engineering and Computer Science Program Federal University of Rio de Janeiro Rio de Janeiro Brazil Faculty of Advanced Science and Technology Kumamoto University Kumamoto Japan Coppead Graduate Business School Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9798350308365

In the context of smart cities where green infras-tructure is incentived, besides important benefits like regulating temperatures and absorbing pollutants among others, tour by urban forests is a way to experience closer contact with nature near of big urban centers. Eventually, visitors get lost, and helping these people with velocity is important to avoid severe incidents. Normally, rescue operations mobilize firefighters, ex-pensive equipment like helicopters and public resources. Following that idea of reducing search time in rescue operations, this paper considers the Data Mule Routing Problem with Limited Autonomy (DMRP-wLA). To find high-quality solutions, this paper proposes an Ant Colony Optimization algorithm enhanced with Reinforcement Learning to create an adaptive decision-making algorithm. © 2024 IEEE.

关键词： Ant colony optimization

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Feature Weighting Optimization: Genetic Algorithms and Random Forest for Classification of Pregnant Potential Risk

Feature Weighting Optimization: Genetic Algorithms and Rando...

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2022 International Conference on Information Technology Research and Innovation, ICITRI 2022

作者： Ramdhani, Yudi Maulidia, Dea Setiadi, Ahmad Alamsyah, Doni Purnama Universitas Adhirajasa Reswara Sanjaya Informatics Engineering Program Bandung Indonesia Universitas Adhirajasa Reswara Sanjaya Computer Science Program Bandung Indonesia Universitas Bina Sarana Informatika Information System Program Jakarta Indonesia Bina Nusantara University Entrepreneurship Department Jakarta Indonesia

ISBN: (数字)9781665461849

ISBN: (纸本)9781665461849

Many pregnant women still do not want to check their pregnancy to recognize the signs of high-risk pregnant women. High-risk pregnancies refer to abundant women with several risky conditions requiring special care during and after delivery. This study aims to predict pregnancy risk levels with early detection efforts. The method used in this research is the Random Forest method for classification and the Genetic Algorithm for optimization. The results obtained from the Maternal Health Risk dataset analysis using the Random Forest method get an accuracy value of 73.37%. After optimizing the features using a genetic algorithm, the accuracy value in the classification of the health risk level of pregnant women has increased significantly to 90.20%. The results of the t-Test in this study showed a value of less than 0.05, and the t-Test value obtained is 0.000218269. That is, the genetic algorithm has excellent performance to improve the performance of the classification algorithm. Based on the results of the study to get a good accuracy value, it can be used by medical personnel to detect the level of health risk in pregnant women. It can be a reference material for further research to implement this research into a program. © 2022 IEEE.

关键词： Genetic algorithms

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Hands-Free Interface using Breath for Robot-Assisted Operation

Hands-Free Interface using Breath for Robot-Assisted Operati...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Atsuhiro Imai Daigo Misaki Graduate School of Engineering Mechanical Engineering Program Kogakuin University Tokyo Japan Department of Mechanical System Engineering Faculty of Engineering Kogakuin University Tokyo Japan

In this paper, we propose a novel hands-free interface for robot-assisted operation. Surgeons use both hands during surgery, making difficult for them to operate the display. However, by using a modality other than the hands to operate the display, the surgeon can check the necessary information for the operation in real time. Therefore, we developed a system that recognizes breath from the temperature change on the mask surface. Then, we compared the proposed system with a directly recognized breath method. Consequently, the proposed method had the same performance as directly recognized breath method and minimized the risk of contamination. We believe that the application of our developed system will contribute to the improvement of safety and efficiency in the medical field.

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The Adoption of Ferromagnetic Device for Signal Capturing of Radiometric Measurement systems

The Adoption of Ferromagnetic Device for Signal Capturing of...

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2022 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2022

作者： Cezarotto, Bernardo A. Mustafa, Thar I. A. H. Cabral, Sergio H.L. Almaguer, Hugo A.D. Meyer, Luiz H. Cereja, Jose E.M. Fischer, Marcel V.T. Dias, Clayton R. Program of Electrical Engineering University of Blumenau Blumenau Brazil University of Blumenau Department of Electrical Engineering Blumenau Brazil CEEE-Companhia Estadual de Energia Eletrica Department of System Operation Porto Alegre Brazil

ISBN: (纸本)9781665443296

The key role played by the circuit-breaker in power systems combined with the increasing importance of the constancy in the power delivery has made non-invasive techniques fundamental for evaluating circuit-breaker status, namely its breaking capacity by including any minor likelihood of arc reignition, which has shown as being far from feasible through power system modelling and computer simulation, due to the inherent complexity of the adjacent power circuits to be correctly modelled. Alternatively, radiometric techniques have experienced an increasing interest which reasons range from the non-invasive principles to the programmability in its execution. On the other hand, much is to be done before such techniques may be widely adopted, especially for the difficulties in properly capturing the correct triggering signal. Based on this scenario, this work presents a brief review of this relatively recent technique and points out items to which researchers should drive their efforts to overcome the related barriers to overcome. © 2022 IEEE.

关键词： Radiometry

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Disclosure Privacy Information Social Media on TikTok

Disclosure Privacy Information Social Media on TikTok

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International Conference on Information Management and Technology (ICIMTech)

作者： Dedy Syamsuar Fazri Fahrezi Ahnaf Favian Edy Irwansyah Achmad Fakhri Irawan Professional Engineer Program Dept. Information System Department Faculty of Engineering School of Information System Bina Nusantara University Jakarta Indonesia Information System Department School of Information System Bina Nusantara University Jakarta Indonesia Computer Science Department School of Information System Bina Nusantara University Jakarta Indonesia

ISBN: (数字)9798350390025

ISBN: (纸本)9798350390032

With the rapid development of technology, the use of social media by the public, especially among young people, is increasing. One of the social media platforms currently used by young people is the TikTok application. It is a video-based TikTok feature accompanied by music, writing, and pictures that are considered attractive, so teenagers like it to show their existence and self-disclosure. Therefore, this study aims to examine the intention of users to disclose their privacy. As the basis of the theory, this study deployed the privacy calculus theory, where the perceived benefits and perceived risks play crucial roles in the intention to disclose their privacy. The study successfully collected 369 responses. The empirical findings indicated that only the relationship between Perceived Personalization (PP) and Perceived Risk (PR) was not supported. However, all the remaining hypotheses were supported. These findings emphasize how several complicated variables influence social media users' intentions to disclose their privacy. When people feel in control of their privacy settings and see significant benefits, they are more likely to divulge personal information; nevertheless, perceived risks can greatly discourage users.

关键词： Privacy Video on demand Social networking (online) Writing Control systems Calculus Information management Web sites

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