2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)最新文献_第8页

Calorie Burn Estimator on Stationary Bike using Human Body Pose Detector 基于人体姿势检测器的固定式自行车卡路里燃烧估算

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221128

Iwap Saputra Batan, E. M. Yuniarno, M. Purnomo, Ahmad Ramadhani

{"title":"Calorie Burn Estimator on Stationary Bike using Human Body Pose Detector","authors":"Iwap Saputra Batan, E. M. Yuniarno, M. Purnomo, Ahmad Ramadhani","doi":"10.1109/ISITIA59021.2023.10221128","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221128","url":null,"abstract":"During the pandemic, we must maintain our body’s immunity at best. Outdoor activities have been closed; therefore, there are limitations to activities that can be done. A solution to staying healthy during the pandemic is indoor exercise. One type of indoor exercise is regularly riding stationary bikes. We maintain the body’s fitness and burn calories by riding stationary bikes. However, some stationary bikes could not show accurate calories burned; they calculated it only based on speed, resistance, and duration, so people with different weights seem to burn the same amount of calories. Therefore, this paper proposed an additional parameter essential in calorie burning: body weight. We used the human body pose estimator to detect the activity of riding the stationary bike and calculated it by adding the person’s weight. The result shows a difference between the estimated calorie burned and the data directly from the stationary bike. The difference is between 0.0225 to 2.8775. The heavier the person, the more differences in the calories burned. The proposed method helped prove that a person’s weight affects the calories burned while doing an activity, especially riding a stationary bike.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121148724","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Survival Information System Using ReliefF Feature Selection and Backpropagation in Hepatocellular Carcinoma Disease 基于ReliefF特征选择和反向传播的肝癌生存信息系统

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221079

Umi Wulandari, B. Warsito, Farikhin Farikin

{"title":"Survival Information System Using ReliefF Feature Selection and Backpropagation in Hepatocellular Carcinoma Disease","authors":"Umi Wulandari, B. Warsito, Farikhin Farikin","doi":"10.1109/ISITIA59021.2023.10221079","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221079","url":null,"abstract":"This study was conducted to classify patients with hepatocellular carcinoma by dividing the dataset features. The purpose of this study was to select the features in medical records with the influential features on hepatocellular carcinoma. In this paper, the proposed model is the use of ReliefF at the feature selection stage and Backpropagation at the classification stage. At this feature selection stage, there are two steps, namely weight calculation and feature reduction process. In the feature weight calculation step, each feature is given a weight and the resulting features will be processed in the feature reduction process. The results of the feature weight calculation will produce a ranking from the highest value to the lowest value which will then be reduced by the feature ranking. The best features that have been produced will be used as input for the second stage, namely the classification stage using Backpropagation. The results showed that the 10 features used were the best features out of 39 features. The best accuracy is produced by the ReliefF+BPNN method of 85%. The comparison results show that the ReliefF feature selection method has the best success rate among all. The results of this study indicate that the proposed method is successful.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124368026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Factors Driving the Students’ Adoption of IT Enabled-MOOCS in Business Education 推动学生在商业教育中采用IT支持的mooc的因素

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221171

Sujoy Sen, Ravi Kumar

{"title":"Factors Driving the Students’ Adoption of IT Enabled-MOOCS in Business Education","authors":"Sujoy Sen, Ravi Kumar","doi":"10.1109/ISITIA59021.2023.10221171","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221171","url":null,"abstract":"The study investigates the student’s perspective with reference to IT-enabled MOOCs courses in Business Education programs in India. It attempts to find out why learners feel it is important to undergo MOOCs and the factors which drive them particularly to select MOOCs. It is an empirical study using a structured questionnaire to collect data from university students undergoing post-graduation degrees. The instrument was designed after a thorough literature review that was presented to industry professionals in the field of education and technology to establish its validity and was pilot tested for its reliability before being used for this study. The result from the demographic analysis of the data and a PCA (principal component analysis) revealed that factors like Learning and Upgradation, Pedagogy and Delivery Mechanism, Ease of Assessment, and Academic Credits and Certificates influence learners toward selecting a particular MOOC. In the domain of online learning, especially with reference to MOOCs in Business Education courses, the area has been found to be under-researched and, in this way, this study holds its distinctiveness. This study contributes uniquely to the research related to IT-enabled learning programs like MOOCs by identifying novel factors contributing to the growing acceptability of Education.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121272049","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Space-Time Adaptive Processing for Target Detection on Transceiver-Subarray-MIMO Radar 收发子阵列mimo雷达目标检测的空时自适应处理

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10220992

Syahfrizal Tahcfulloh, Nur Hasmur Jamal

{"title":"Space-Time Adaptive Processing for Target Detection on Transceiver-Subarray-MIMO Radar","authors":"Syahfrizal Tahcfulloh, Nur Hasmur Jamal","doi":"10.1109/ISITIA59021.2023.10220992","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10220992","url":null,"abstract":"Radar applications, especially for the automotive, marine, military, surveillance, etc., really need radar with specifications such as high-angular resolution, anti-jamming-interference and clutter, low sidelobe level, etc. MIMO radar with transceiver-subarray method is here to solve this problem. The existence of a subarray at transmit (Tx) and receiver (Rx) that work simultaneously is capable of providing high processing gain and waveform diversity but has problems with target detection, especially those caused by jamming, interference, and clutter. To overcome the detection performance due to these problems, this paper proposes a combination of the flexible configuration of this radar with the space-time adaptive processing (STAP) method which involves multi-pulse transmission. Detection performance is determined based on probability of detection (PoD) as a function of SNR which considers the number of Tx-Rx subarrays, the number of transmission pulses, and the probability of false alarm. The effectiveness of the evaluation results for numerical simulations between the detection performance of this radar with and without STAP has been presented in this paper. As an example a numerical evaluation of the SNR is +5dB, the PoD values without and with the STAP method for radar configurations with number of Tx-subarrays $left(N_{mathrm{TS})}right.$ and number of Rx-subarrays $left(N_{mathrm{RS}}right)$ namely (4,8) are obtained 99.09% and 99.77%, respectively.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122733738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study of a Noninvasive Nonenzymatic rGO Based Disposable Sweat Glucose Sensor 无创无酶氧化石墨烯一次性汗液葡萄糖传感器的研究

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221119

Inasdiah Farras Fauziyyah, T. Mujiono, Darminto

引用次数: 0

Assistive Robot Manipulator Pose Prediction based on Object Orientation using CNN 基于物体方向的CNN辅助机器人姿态预测

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221138

N. S. Widodo, E. M. Yuniarno, M. Purnomo, R. Mardiyanto

引用次数: 0

Internet of Things-Based Telemonitoring System Design for Wrist Rehabilitation 基于物联网的腕部康复远程监控系统设计

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10220976

I. Made, Yudhistira Dharma Satyana, A. Arifin, Norma Hermawan

{"title":"Internet of Things-Based Telemonitoring System Design for Wrist Rehabilitation","authors":"I. Made, Yudhistira Dharma Satyana, A. Arifin, Norma Hermawan","doi":"10.1109/ISITIA59021.2023.10220976","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10220976","url":null,"abstract":"Improving health services with a technological approach by remotely providing rehabilitation services is the implementation of telerehabilitation as a part of telemedicine. A device that utilizes Functional Electrical Stimulation combined with a single computer to store rehabilitation data locally has been designed to rehabilitate the wrist region due to monoplegia. Developing a telemonitoring system for a portable FES-based wrist joint movement rehabilitation device is suggested, where rehabilitative information, such as the wrist’s torque and degree of movement in response to the FES stimulus, may be kept in a structured database and shown through a web application. The study’s findings can be utilized to establish a telemonitoring system based on the Internet of Things (IoT). The system architecture includes a database that houses data on simulated wrist movement therapy, with data queries typically taking 0.0043 seconds for every 500 rows of data. Additionally, the generated graphs from the simulated rehabilitation data mirror those from the actual device obtained from real subjects. Developing a web-based application to exhibit rehabilitation data that one or more operators may access from any location at any time is also achievable. As for development in future studies, trial on actual wrist rehabilitation devices and database optimization is necessary for the proposed telemonitoring system design.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128286744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Keynote 1: Advancements in Olfactory Information Technology 主题演讲1:嗅觉信息技术的进步

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/isitia59021.2023.10221051

Prof. Takamichi Nakamoto

引用次数: 0

Multi-Human Pose Detection Based on EELAN-Blazepose Model 基于EELAN-Blazepose模型的多人体姿态检测

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221175

Dion Setiawan, M. H. Purnomo, E. M. Yuniarno

{"title":"Multi-Human Pose Detection Based on EELAN-Blazepose Model","authors":"Dion Setiawan, M. H. Purnomo, E. M. Yuniarno","doi":"10.1109/ISITIA59021.2023.10221175","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221175","url":null,"abstract":"The human pose estimation system is an exciting topic for developing a collaborative robot. The robot can interpret human poses and autonomously perform collaborative action using various sensors such as cameras and lidars as input devices and use the pose data to interact like giving and receiving objects from humans. There are multiple models for detecting human poses such as Openpose and Mediapipe, but only a few models can detect poses in three dimensions for cases where multiple humans are detected. In this study, we aimed to develop a sstacked model for detecting three-dimensional human poses for cases where multiple humans are detected by combining the EELAN and Blazepose models as our first step in enabling human-robot interactions like giving and taking objects. In the static image tests, our model successfully detected multiple humans and estimated their three-dimensional models separately. On the other hand, the real-time test results showed that our model successfully estimated the three-dimensional human pose for this case with a mean processing time of 354.30 milliseconds(ms) to process 20 frames per batch.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123948103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Bow-tie Antenna with Low-noise Amplifier for Partial Discharge Detection in Oil Insulation 带低噪声放大器的领结天线用于油绝缘局部放电检测

2023 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2023-07-26 DOI: 10.1109/ISITIA59021.2023.10221165

Lasro P Sihite, U. Khayam, Deny Viviantoro, Muhammad Kodrat, Mukhtar Hadi

{"title":"Bow-tie Antenna with Low-noise Amplifier for Partial Discharge Detection in Oil Insulation","authors":"Lasro P Sihite, U. Khayam, Deny Viviantoro, Muhammad Kodrat, Mukhtar Hadi","doi":"10.1109/ISITIA59021.2023.10221165","DOIUrl":"https://doi.org/10.1109/ISITIA59021.2023.10221165","url":null,"abstract":"Partial Discharge (PD) is one indicator of high failure isolation of equipment voltage. Partial discharge measurements were carried out To prevent damage to equipment voltage high. An antenna is one _tool measure used _To detect the partial discharge signal. Because many factors influence it, the antenna is still less sensitive inside PD arrest. The use of an amplifier is expected can build an internal antenna to catch partial discharge signal becomes more ok. In testing, These two antennas that are the same (identical) as sensors are installed, and carried out the installation of a Low Noise Amplifier (LNA) is on one of the antennas as a comparison To show the influence use of LNA against PD capture by the antenna. Test results show that PDIV occurs at 11.02 kV on both antennas. On testing, This is the formed phase pattern used To show the number of PDs captured by both antennas, the antenna using the LNA shows results in more PD arrests many. The use of LNA in testing has proven to increase the amount of arrest PD signal from the sensor antenna used.","PeriodicalId":116682,"journal":{"name":"2023 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116855636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0