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Early Detection of Heart Rate Conditions in Autistic Children Using IoT-Based Systems

Early Detection of Heart Rate Conditions in Autistic Childre...

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International Conference on electrical engineering and Computer Science (ICECOS)

作者： Nizam Albar Melinda Melinda Yuwaldi Away dept. Electrical Engineering Master of Electrical Engineering Study Program Universitas Syiah Kuala Banda Aceh Indonesia dept. Electrical Engineering and Computer Engineering Faculty Universitas Syiah Kuala Banda Aceh Indonesia

ISBN: (数字)9798350368253

ISBN: (纸本)9798350368260

Early detection of heart rate conditions in autistic children is crucial for anticipating tantrum reactions and providing prompt medical intervention. Previous research designed a prototype for acquiring Electrocardiogram (ECG) signals using the AD8232 sensor, but it required a long time to identify heart rate conditions. This study aims to develop the previous prototype using Internet of Things (IoT) implementation to acquire and identify the heart rate conditions of autistic children in real time. The ECG signal data is analyzed using Butterworth Filter and Artificial Neural Network (ANN) integrated into Raspberry Pi and results are transmitted to the Blynk App. Testing over 20 minutes showed that in the first 10 minutes, the system identified a normal heart rate at 105.19 BPM with 67% accuracy, while in the second 10 minutes, the heart rate rose to 117.19 BPM with tantrum symptoms and 75% accuracy. This system helps medical personnel provide immediate intervention during tantrums.

关键词： Heart rate Pediatrics Accuracy Prototypes Artificial neural networks Electrocardiography Real-time systems Internet of Things Servers Testing

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Development of application Information System in Rhee District 1

Development of application Information System in Rhee Distri...

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1st Virtual Conference on engineering, Science and Technology, ViCEST 2020

作者： Esabella, Shinta Intan, Hikmawati Hidayatullah, Muhammad Andriani, Titi Gunawan, G. Informatics Department Faculty of Engineering Universitas Teknologi Sumbawa Indonesia Electrical Engineering Department Faculty of Engineering Universitas Teknologi Sumbawa Indonesia Physics Education Study Program Faculty of Teacher Training and Education Universitas Mataram Indonesia

Management of patient data at the Technical Implementation Unit of the Community Health Center (UPT. Puskesmas) of Rhee Sumbawa District has not been fully computerized. The need for the development of an Information System to store medical records (history) of patient data. The research aims to develop information systems with descriptive research methods. For software development methods using Waterfall Models and built with Microsoft Visual Studio C# software and databases stored in Microsoft SQL Server software. Software testing uses Black Box Testing, which is testing software in functional terms. The results of research into digital data technology products that function to enter, change, delete data and minimize the time to find the data needed to improve the effectiveness and efficiency of data management. © Published under licence by IOP Publishing Ltd.

关键词： Information management

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Analysis stage in the development of a virtual laboratory electric motor installation for vocational high schools 6

Analysis stage in the development of a virtual laboratory el...

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6th International Conference on Technology and Vocational Teachers, ICTVT 2020

作者： Wati, M.S. Djatmiko, I.W. Master Education Program of Electrical Engineering Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

The study aimed to find out the design of instructional media which is suitable for practical learning of electric motor installation. It used needs analysis and front-end analysis which was carried out at Vocational High Schools in Yogyakarta. The result showed that the developing two-or three-dimensional media in the form of virtual laboratories was strongly recommended. Virtual laboratories was able to visualize the components according to real conditions. The concepts and work principles of electric motor installations were showed in the form of a two-or three-dimensional simulation. Virtual laboratories was expected to help virtual learning and train students' independence and competence in practicing electric motor installation. © Published under licence by IOP Publishing Ltd.

关键词： Laboratories

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The Design of Mini CNC Assembly Simulator Based on Virtual Reality Toolkit (VRTK) 4

The Design of Mini CNC Assembly Simulator Based on Virtual R...

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4th International Conference on electrical, Electronics, Informatics, and Vocational education, ICE-ELINVO 2021

作者： Malik, C.A.J. Hadi, S. Master Education Program of Electrical Engineering Faculty of Engineering Universitas Negeri Yogyakarta Indonesia

Information and communication technology development today has provided the latest innovation in didactic world. One of such innovation is the usage of virtual reality (VR) as learning media. The application of virtual reality in learning environment started to be adopted because VR is considered more capable to explain learning material when compared with other learning material. Moreover, learning with VR has the capability for student to learn independently anytime and anywhere. One of VR utilization in learning environment is to use it in a Mini CNC machine assembly simulator. The learning media is meant to be used to improve student skill in assembling a Mini CNC machine independently. This research uses Research and Development method with waterfall model which has several stages which are communication, planning, modelling, construction, and deployment. However, this research only aims up to construction stage, because this research focuses on media functionality test. The media black box research has shown that the media is capable to function as expected. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Virtual reality

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Mini Prototype of the Futuristic Bin with an Automatic Waste Sortation System for Managing the Garbage Problems in Society

Mini Prototype of the Futuristic Bin with an Automatic Waste...

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International Conference on Wireless and Telematics (ICWT)

作者： Muhammad Taufik Dwi Putra Anugrah Adiwilaga Jezzy Putra Munggaran Muhammad Azka Adhitama Raihan Anwar As'Ad Ahmad Ali Alhafidz Rin Rin Nurmalasari Agus Juhana Computer Engineering Study Program Universitas Pendidikan Indonesia Bandung Indonesia Department of Electrical Engineering UIN Sunan Gunung Djati Bandung Indonesia Multimedia Education Study Program Universitas Pendidikan Indonesia Bandung Indonesia

ISBN: (数字)9798350377057

ISBN: (纸本)9798350377064

This article explores the development and implementation of futuristic bins with automated waste sortation systems to address improper and mixed waste disposal challenges. Despite the existence of categorized waste bins, individuals often dispose of waste improperly, hindering the sorting and decomposition processes. Integrating advanced technologies, such as Artificial Intelligence (AI), futuristic bins offer innovative solutions. Futuristic bins with automated sorting systems facilitate accurate waste sorting, reduce mixing, and optimize waste disposal. These bins increase efficiency, reduce costs, and optimize collection routes while promoting environmental cleanliness and awareness of waste management. The article describes the research methodology, including preliminary study, specification requirements analysis, prototype development, and testing. The results demonstrate the implemented system's accuracy and real-time object detection capabilities. The study also acknowledges limitations and suggests future research directions, including improving communication between object detection algorithms and microcontrollers. Overall, the development of futuristic bins with automated waste sortation systems represents a significant advancement in waste management, with the potential to revolutionize waste management systems and create sustainable cities and communities.

关键词： Accuracy Costs Urban areas Prototypes Object detection Real-time systems Waste disposal

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Identification of Beef Freshness Using Linear Discriminant Analysis (LDA) Algorithm and Extraction of HSV Values 2

Identification of Beef Freshness Using Linear Discriminant A...

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2nd International Conference on Electronic and electrical engineering and Intelligent System, ICE3IS 2022

作者： Napianto, Riduwan Tri Prastowo, Agung Deni Wahyudi, Agung Wajiran Yudoutomo, Yohanes Egi Pratama Suparto, Arico Ayani Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia Information Technology Education Study Program Stkip Pgri Situbondo Situbondo Indonesia

ISBN: (纸本)9781665465410

To determine the quality of beef, it is usually seen using a flashlight and matching it with a predetermined color standard. However, this method is time consuming and the results are inconsistent due to human visual limitations. This study aims to identify the freshness of beef based on its color characteristics using feature extraction method with HSV and LDA method for identification. The identification process begins with the transformation process from RGB images to L∗a∗b, then image segmentation serves to separate one object from another and image identification uses the LDA method with feature extraction using HSV. The use of color feature extraction with the HSV algorithm to assist in obtaining information from the colors contained in the image for easy identification. Furthermore, the LDA algorithm has a function to obtain the maximum projection to obtain a smaller dimensional space so that the desired patterns can be separated through the boundary line of a linear equation so as to form a certain class or group. Based on the test results using the confusion matrix, it produces a precision value of 80%, recall of 84%, and accuracy of 82%. © 2022 IEEE.

关键词： Beef

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Stunting Classification in Toddlers: Implementation and Evaluation of the Decision Tree Algorithm

Stunting Classification in Toddlers: Implementation and Eval...

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Information Technology and Computing (ICITCOM), International Conference on

作者： Debby Alita Imam Ahmad Rhaishudin Jafar Rumandan Moh Erkamim Widyasmoro Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandarlampung Indonesia Islamic Education Management Study Program Institut Agama Islam Negeri Ambon Ambon Indonesia Smart City Information Systems Study Program Universitas Tunas Pembangunan Surakarta Indonesia Department of Electrical Engineering Faculty of Engineering Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia

ISBN: (数字)9798350379839

ISBN: (纸本)9798350379846

Stunting in toddlers is a chronic nutritional issue that affects the physical and cognitive development of children, with serious long-term consequences such as reduced cognitive function and an increased risk of chronic diseases in adulthood. Therefore, early identification and prevention efforts for stunting are crucial. Classifying toddlers into categories of at-risk for stunting or not is essential to provide timely and appropriate interventions. This study employs data mining techniques using the decision tree algorithm to expedite the stunting detection process and improve the accuracy of nutritional status classification in children. The results indicate that the constructed decision tree model can classify children's nutritional status with an accuracy of 83.26%. The decision tree achieves high accuracy in classifying stunting in toddlers due to its ability to handle complex data and identify significant patterns within the data.

关键词： Pediatrics Accuracy Computational modeling Prevention and mitigation Data models Classification algorithms Decision trees Data mining Information technology Diseases

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Condition Assessment of Underground Cable System Using Fuzzy Logic and Scoring and Weighting Average Methods

Condition Assessment of Underground Cable System Using Fuzzy...

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2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Romphoyen, Dineenath Panmala, Nattapon Suwanasri, Thanapong Suwanasri, Cattareeya King Mongkut's University of Technology North Bangkok The Sirindhorn International Thai-German Graduate School of Engineering EPE Program Bangsue Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Technical Education Department of Teacher Training in Electrical Engineering Bangsue Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangsue Bangkok Thailand

ISBN: (纸本)9798350344585

In this paper, the overall health index of underground cable system is determined using Fuzzy Logic and Scoring and Weighting Average methods. The relevant data of 73 feeders has been collected in the prepared evaluation forms, divided into five major component groups: cable, joint, termination, manhole, and ductbank. In each component, various testing methods and diagnostic techniques are applied, and then the numerical score is determined according to the technical criteria for condition assessment. Subsequently, the obtained overall health index is multiplied with the conditional factor to incorporate the differences in installation type and configuration as well as the operating and environmental conditions. Finally, the overall health index based on these two methods is compared to verify the accuracy of the obtained results to properly plan the preventive and condition-based maintenance and to improve the reliability of the underground cable system. © 2023 IEEE.

关键词： Fuzzy logic

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Investigation of Lightning Overvoltage on 220 kV Transmission Lines in Bhutan Using ATP-EMTP

Investigation of Lightning Overvoltage on 220 kV Transmissio...

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2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Samten Suwanasri, Thanapong Suwanasri, Cattareeya Panmala, Nattapon King Mongkut's University of Technology North Bangkok The Sirindhorn International Thai-German Graduate School of Engineering EPE Program Bangsue Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangsue Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Technical Education Department of Teacher Training in Electrical Engineering Bangsue Bangkok Thailand

ISBN: (纸本)9798350344585

This paper provides an examination of the impact of lightning strikes on a 220 kV double circuit (D/C) high voltage transmission line in Bhutan. The study employs the ATP-EMTP software to identify the leading causes of transmission line faults, which are primarily attributed to lightning strikes. Since the transmission lines run through areas in Bhutan that are prone to severe weather conditions and lightning strikes, they are vulnerable to damage, leading to an unreliable power supply. To address this issue, the author proposes several solutions, such as enhancing the tower footing resistance and installing line surge arresters. The author also created models of different transmission towers and analyzed an 18 km stretch of the transmission line that is highly susceptible to lightning strikes. © 2023 IEEE.

关键词： Electric lines

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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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Artificial Intelligence and Image Processing (IWAIIP), International Workshop on

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

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.

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