Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251912
Tajuddin Nur, Linda Wijayanti, Anthon de Fretes, K. O. Bachri
This paper deals with the analysis of cogging torque of permanent magnet machine for wind energy application. For the purpose of study, a 24-slot and 18-pole pairing of permanent magnet machine is selected. In order to reduce the cogging torque of permanent magnet machine based on the wind power requirement, a combining of shaping in magnet edge with three dummy slots in stator core of machine is studied in the paper. The combining of shaping in magnet edge with three dummy slots in stator core give a high value of cogging torque reduction of the model of PMM proposed. For the analysis of the entire machine structure, the finite element analysis is employed in the study. Using the finite element analysis based on FEMM, the cogging torque value of PMM models is analyzed. It is found that the cogging torque reduction value of the model of the PMM proposed can be increased to 98.74 % compared to the conventional PMM model. In conclusion, it can be said that the PMM can be developed and proposed in wind power application.
{"title":"Analysis on the Cogging Torque of Permanent Magnet Machine for Wind Power Applications","authors":"Tajuddin Nur, Linda Wijayanti, Anthon de Fretes, K. O. Bachri","doi":"10.23919/EECSI50503.2020.9251912","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251912","url":null,"abstract":"This paper deals with the analysis of cogging torque of permanent magnet machine for wind energy application. For the purpose of study, a 24-slot and 18-pole pairing of permanent magnet machine is selected. In order to reduce the cogging torque of permanent magnet machine based on the wind power requirement, a combining of shaping in magnet edge with three dummy slots in stator core of machine is studied in the paper. The combining of shaping in magnet edge with three dummy slots in stator core give a high value of cogging torque reduction of the model of PMM proposed. For the analysis of the entire machine structure, the finite element analysis is employed in the study. Using the finite element analysis based on FEMM, the cogging torque value of PMM models is analyzed. It is found that the cogging torque reduction value of the model of the PMM proposed can be increased to 98.74 % compared to the conventional PMM model. In conclusion, it can be said that the PMM can be developed and proposed in wind power application.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"42 1","pages":"109-113"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80591202","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}
Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251876
Fahdiaz Alief, Y. Suryanto, Linda Rosselina, T. Hermawan
This paper discusses the new feature implemented in most social media messaging applications: the unsent feature, where the sender can delete the message he sent both in the sender and the recipient devices. This new feature poses a new challenge in mobile forensic, as it could potentially delete sent messages that can be used as evidence without the means to retrieve it. This paper aims to analyze how well Autopsy open-source mobile forensics tools in extracting and identifying the deleted messages, both that are sent or received. The device used in this paper is a Redmi Xiaomi Note 4, which has its userdata block extracted using linux command, and the application we're using is WhatsApp. Autopsy will analyze the extracted image and see what information can be extracted from the unsent messages. From the result of our experiment, Autopsy is capable of obtaining substantial information, but due to how each vendor and mobile OS store files and databases differently, only WhatsApp data can be extracted from the device. And based on the WhatsApp data analysis, Autopsy is not capable of retrieving the deleted messages. However it can detect the traces of deleted data that is sent from the device. And using sqlite3 database browser, the author can find remnants of received deleted messages from the extracted files by Autopsy.
{"title":"Analysis of Autopsy Mobile Forensic Tools against Unsent Messages on WhatsApp Messaging Application","authors":"Fahdiaz Alief, Y. Suryanto, Linda Rosselina, T. Hermawan","doi":"10.23919/EECSI50503.2020.9251876","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251876","url":null,"abstract":"This paper discusses the new feature implemented in most social media messaging applications: the unsent feature, where the sender can delete the message he sent both in the sender and the recipient devices. This new feature poses a new challenge in mobile forensic, as it could potentially delete sent messages that can be used as evidence without the means to retrieve it. This paper aims to analyze how well Autopsy open-source mobile forensics tools in extracting and identifying the deleted messages, both that are sent or received. The device used in this paper is a Redmi Xiaomi Note 4, which has its userdata block extracted using linux command, and the application we're using is WhatsApp. Autopsy will analyze the extracted image and see what information can be extracted from the unsent messages. From the result of our experiment, Autopsy is capable of obtaining substantial information, but due to how each vendor and mobile OS store files and databases differently, only WhatsApp data can be extracted from the device. And based on the WhatsApp data analysis, Autopsy is not capable of retrieving the deleted messages. However it can detect the traces of deleted data that is sent from the device. And using sqlite3 database browser, the author can find remnants of received deleted messages from the extracted files by Autopsy.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"101 1","pages":"26-30"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80849230","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}
Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251871
Mohamad Hafis Nornaim, N. A. Abdul-Kadir, F. Harun, M. A. A. Razak
Electrocardiograph (ECG) is a measuring device that used in hospital to monitor electrical activity of heart. Commonly used ECG device is a Holter monitor, a portable and wired device, which is bulky and not suitable for measuring and recording athlete's heart activity during training. The objective of this study was to design the ECG monitoring system as an Internet of Things (IoT) device, equipped with a temperature detector to detect user's body temperature. The ECG signals and the temperature were transmitted wirelessly using Bluetooth transmission to the mobile applications (apps). Both signals were set to display on mobile apps which was developed using Blynk application. At the end of this project, the signals were shown on the mobile apps and the user could monitor their own ECG signals as well as to share with their caretaker or physician later.
{"title":"A Wireless ECG Device with Mobile Applications for Android","authors":"Mohamad Hafis Nornaim, N. A. Abdul-Kadir, F. Harun, M. A. A. Razak","doi":"10.23919/EECSI50503.2020.9251871","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251871","url":null,"abstract":"Electrocardiograph (ECG) is a measuring device that used in hospital to monitor electrical activity of heart. Commonly used ECG device is a Holter monitor, a portable and wired device, which is bulky and not suitable for measuring and recording athlete's heart activity during training. The objective of this study was to design the ECG monitoring system as an Internet of Things (IoT) device, equipped with a temperature detector to detect user's body temperature. The ECG signals and the temperature were transmitted wirelessly using Bluetooth transmission to the mobile applications (apps). Both signals were set to display on mobile apps which was developed using Blynk application. At the end of this project, the signals were shown on the mobile apps and the user could monitor their own ECG signals as well as to share with their caretaker or physician later.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"57 1","pages":"168-171"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74352396","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}
Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251878
D. I. Sensuse, Alifiannisa Lawami Diar, Sofian Lusa, Damayanti Elisabeth
The increasing number of studies in the knowledge map shows attention from researchers in academic and professional areas. However, the knowledge map implementation has not effectively implemented in an organization whose business in the digital business industry, especially startup organization. The main reason is the lack of stakeholder's understanding of the knowledge map concept. Thus, this study gives a comprehensive understanding of knowledge map implementation in the digital business industry within the last five years period. The study will answer what problems knowledge map tackled, tools, and techniques used currently, the obstacles and benefits of using a knowledge map. The review was conducted through the structured systematic literature review procedure. It started with a review protocol declaration and ended with an analysis of the prior researches obtained from five credible sources. Only 25 of 775 studies remain after several filtering stages. It is found that a knowledge map is mostly used for decision-making purposes. Most studies adopted a visual knowledge map and concept map, even though it is difficult to align the knowledge depth. In the end, this study's result will help stakeholders to reflect on their existing knowledge relationship structure. This study also offers directions for future research and professional practices in digital business industry firms to perfect their existing organizational intellectual capital through a knowledge map.
{"title":"An Overview of Knowledge Mapping in Digital Business Industry: A Systematic Literature Review","authors":"D. I. Sensuse, Alifiannisa Lawami Diar, Sofian Lusa, Damayanti Elisabeth","doi":"10.23919/EECSI50503.2020.9251878","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251878","url":null,"abstract":"The increasing number of studies in the knowledge map shows attention from researchers in academic and professional areas. However, the knowledge map implementation has not effectively implemented in an organization whose business in the digital business industry, especially startup organization. The main reason is the lack of stakeholder's understanding of the knowledge map concept. Thus, this study gives a comprehensive understanding of knowledge map implementation in the digital business industry within the last five years period. The study will answer what problems knowledge map tackled, tools, and techniques used currently, the obstacles and benefits of using a knowledge map. The review was conducted through the structured systematic literature review procedure. It started with a review protocol declaration and ended with an analysis of the prior researches obtained from five credible sources. Only 25 of 775 studies remain after several filtering stages. It is found that a knowledge map is mostly used for decision-making purposes. Most studies adopted a visual knowledge map and concept map, even though it is difficult to align the knowledge depth. In the end, this study's result will help stakeholders to reflect on their existing knowledge relationship structure. This study also offers directions for future research and professional practices in digital business industry firms to perfect their existing organizational intellectual capital through a knowledge map.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"10 1","pages":"216-221"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77971691","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}
Respiratory condition monitoring, including respiration rate and oxygen saturation, and oxygen flow rate in oxygen tanks needed for patients undergoing oxygen therapy. Lack of medical staff in hospitals and efforts to minimize interactions between patients and nurses during the pandemic, open opportunity to develop the respiratory condition and oxygen flowrate monitoring systems using the Internet of Things (IoT) technology. Respiration rate and oxygen saturation data send to the local web network using the ESP8266 WiFi module and router. This monitoring system website was built on a server computer in the monitoring room using the PHP-MySQL programming language with Sublime Text 3 and XAMPP software. The website consists of features of the new user registration, user login, adding patient data, editing patient data, searching for patients, and patient respiratory condition monitoring pages. Connection speed based on the ability of the router range and the distance between the router and the microcontroller. For testing the reliability of the connection, the system simulated interrupted. The reconnecting times for the router and microcontroller range 3, 5, and 7 meters are 35.4 s, 35.6 s, and 35.3 s, respectively. The average response time for the system to receive data from the microcontroller and display the data on the monitoring page is 1.998 s, and there is no different data from the data on the web database and data on the serial monitor.
呼吸状态监测，包括呼吸速率、血氧饱和度、供氧患者所需氧气罐的氧流量。大流行期间，医院医务人员的缺乏以及为尽量减少患者和护士之间的互动所做的努力，为利用物联网(IoT)技术开发呼吸状况和氧流量监测系统提供了机会。呼吸速率和氧饱和度数据通过ESP8266 WiFi模块和路由器发送到本地web网络。本监控系统网站是在监控室的一台服务器上，采用PHP-MySQL编程语言，使用Sublime Text 3和XAMPP软件搭建的。该网站包括新用户注册、用户登录、添加患者数据、编辑患者数据、搜索患者、患者呼吸状况监测页面等功能。连接速度取决于路由器的能力范围和路由器与单片机之间的距离。为了测试连接的可靠性，系统进行了模拟中断。路由器和微控制器3米、5米和7米的重新连接时间分别为35.4秒、35.6秒和35.3秒。系统从单片机接收数据并在监控页面上显示数据的平均响应时间为1.998 s，与web数据库上的数据和串口监视器上的数据没有差异。
{"title":"IoT in Patient Respiratory Condition & Oxygen Regulator's Flowrate Monitor","authors":"Ayu Jati Puspitasari, Arya Nicosa, Djiwo Harsono, Dian Bayu Prakarsa","doi":"10.23919/EECSI50503.2020.9251293","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251293","url":null,"abstract":"Respiratory condition monitoring, including respiration rate and oxygen saturation, and oxygen flow rate in oxygen tanks needed for patients undergoing oxygen therapy. Lack of medical staff in hospitals and efforts to minimize interactions between patients and nurses during the pandemic, open opportunity to develop the respiratory condition and oxygen flowrate monitoring systems using the Internet of Things (IoT) technology. Respiration rate and oxygen saturation data send to the local web network using the ESP8266 WiFi module and router. This monitoring system website was built on a server computer in the monitoring room using the PHP-MySQL programming language with Sublime Text 3 and XAMPP software. The website consists of features of the new user registration, user login, adding patient data, editing patient data, searching for patients, and patient respiratory condition monitoring pages. Connection speed based on the ability of the router range and the distance between the router and the microcontroller. For testing the reliability of the connection, the system simulated interrupted. The reconnecting times for the router and microcontroller range 3, 5, and 7 meters are 35.4 s, 35.6 s, and 35.3 s, respectively. The average response time for the system to receive data from the microcontroller and display the data on the monitoring page is 1.998 s, and there is no different data from the data on the web database and data on the serial monitor.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"10 1","pages":"162-167"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80167372","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}
Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251882
A. H. Umar, F. Harun, Yusmeeraz Yusof
Capacitive ECG bioelectrodes are potentials for wearable and long-term physiological monitoring applications. In non-contact ECG recordings, the dielectric material sets limit to smooth bioelectric signal acquisition. Previously used dielectrics are rigid., unconformable on the skin, induce artifact and triboelectric noise., and becomes unstable when they absorb skin exudates. Recently., polymeric materials such as PDMS have gained different biomedical applications because it is biocompatible., flexible., and easy to fabricate. However., its use as a dielectric for capacitive ECG sensing is poorly reported. In this study., 15 samples of thin PDMS films of various thicknesses were fabricated by varying the proportion of the Sylgard 184™ silicone elastomer to the crosslinker from Dow Corning Corporation., and manually deposited on acrylic glass substrates. The composition ratio and thickness were used to tune the structure and dielectric properties of the films. The effects on the capacitance generated by each dielectric film were measured using the parallel plate method., and their corresponding values of relative permittivity was also estimated. The results obtained reveal that PDMS films made from a composition ratio of 10:2 yielded the maximum capacitance and relative permittivity. In contrast., the film with 0.14 mm thickness revealed the highest value of capacitance (31 pF). The recorded values of capacitance demonstrate the feasibility of PDMS dielectrics for capacitive ECG bioelectrodes.
{"title":"Characterization of Polydimethylsiloxane Dielectric Films for Capacitive ECG Bioelectrodes","authors":"A. H. Umar, F. Harun, Yusmeeraz Yusof","doi":"10.23919/EECSI50503.2020.9251882","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251882","url":null,"abstract":"Capacitive ECG bioelectrodes are potentials for wearable and long-term physiological monitoring applications. In non-contact ECG recordings, the dielectric material sets limit to smooth bioelectric signal acquisition. Previously used dielectrics are rigid., unconformable on the skin, induce artifact and triboelectric noise., and becomes unstable when they absorb skin exudates. Recently., polymeric materials such as PDMS have gained different biomedical applications because it is biocompatible., flexible., and easy to fabricate. However., its use as a dielectric for capacitive ECG sensing is poorly reported. In this study., 15 samples of thin PDMS films of various thicknesses were fabricated by varying the proportion of the Sylgard 184™ silicone elastomer to the crosslinker from Dow Corning Corporation., and manually deposited on acrylic glass substrates. The composition ratio and thickness were used to tune the structure and dielectric properties of the films. The effects on the capacitance generated by each dielectric film were measured using the parallel plate method., and their corresponding values of relative permittivity was also estimated. The results obtained reveal that PDMS films made from a composition ratio of 10:2 yielded the maximum capacitance and relative permittivity. In contrast., the film with 0.14 mm thickness revealed the highest value of capacitance (31 pF). The recorded values of capacitance demonstrate the feasibility of PDMS dielectrics for capacitive ECG bioelectrodes.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"117 ","pages":"127-131"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91520113","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}
Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251913
S. K. Sonbhadra, Sonali Agarwal, M. Syafrullah, K. Adiyarta
Aggressive driving is the most common factor of road accidents, and millions of lives are compromised every year. Early detection of aggressive driving behaviour can reduce the risks of accidents by taking preventive measures. The smart-phone's accelerometer sensor data is mostly used for driving behavioural detection. In recent years, many research works have been published concerning to behavioural analysis, but the state of the art shows that still, there is a need for a more reliable prediction system because individually, each method has it's own limitations like accuracy, complexity etc. To overcome these problems, this paper proposes a heterogeneous ensemble technique that uses random forest, artificial neural network and dynamic time wrapping techniques along with weighted voting scheme to obtain the final result. The experimental results show that the weighted voting ensemble technique outperforms to all the individual classifiers with average marginal gain of 20%.
{"title":"Aggressive driving behaviour classification using smartphone's accelerometer sensor","authors":"S. K. Sonbhadra, Sonali Agarwal, M. Syafrullah, K. Adiyarta","doi":"10.23919/EECSI50503.2020.9251913","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251913","url":null,"abstract":"Aggressive driving is the most common factor of road accidents, and millions of lives are compromised every year. Early detection of aggressive driving behaviour can reduce the risks of accidents by taking preventive measures. The smart-phone's accelerometer sensor data is mostly used for driving behavioural detection. In recent years, many research works have been published concerning to behavioural analysis, but the state of the art shows that still, there is a need for a more reliable prediction system because individually, each method has it's own limitations like accuracy, complexity etc. To overcome these problems, this paper proposes a heterogeneous ensemble technique that uses random forest, artificial neural network and dynamic time wrapping techniques along with weighted voting scheme to obtain the final result. The experimental results show that the weighted voting ensemble technique outperforms to all the individual classifiers with average marginal gain of 20%.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"54 1","pages":"77-82"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79660545","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}
Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251898
Brilian Putra Amiruddin, R. E. A. Kadir
The ball and beam system is one of the most used systems for benchmarking the controller response because it has nonlinear and unstable characteristics. Furthermore, in line with the increasing of computation power availability and artificial intelligence research intensity, especially the reinforcement learning field, nowadays plenty of researchers are working on a learning control approach for controlling systems. Due to that, in this paper, the adaptive PID controller based on Q-Learning (Q-PID) was used to control the ball position on the ball and beam system. From the simulation result, Q-PID outperforms the conventional PID and heuristic PID controller technique with the swifter settling time and lower overshoot percentage.
{"title":"Ball and Beam Control using Adaptive PID based on Q-Learning","authors":"Brilian Putra Amiruddin, R. E. A. Kadir","doi":"10.23919/EECSI50503.2020.9251898","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251898","url":null,"abstract":"The ball and beam system is one of the most used systems for benchmarking the controller response because it has nonlinear and unstable characteristics. Furthermore, in line with the increasing of computation power availability and artificial intelligence research intensity, especially the reinforcement learning field, nowadays plenty of researchers are working on a learning control approach for controlling systems. Due to that, in this paper, the adaptive PID controller based on Q-Learning (Q-PID) was used to control the ball position on the ball and beam system. From the simulation result, Q-PID outperforms the conventional PID and heuristic PID controller technique with the swifter settling time and lower overshoot percentage.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"18 1","pages":"203-208"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86050834","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}
Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251904
Fitria Amastini, Cristin Purnama Sari Kaunang, Afifah Nefiratika, D. I. Sensuse, Sofian Lusa
Distance learning is supposed to provide not only independent learning activities but also two-way interaction and collaborative learning based on inquiry model to control students' learning. E-learning is one of the platform to implement two-way interaction and inquiry model. Universitas Terbuka (UT) is the first open distance education university in Indonesia. This paper will study and visualize participation in discussion and interaction on the virtual learning environment (VLE) UT using Social Network Analysis (SNA). This paper also used a questionnaire to detect knowledge sharing behavior (KSB) in the Collaborative Learning Environment (CLE) based on Social Presence, Perceived Online Attachment Motivation, Perceived Online Relationship Commitment, and Altruism indicators. For the perception of students and evaluation about e-learning UT, we use Yilmaz's Transactional Distance. The results of the measurement network in forum discussion can detect that the tutors are most important, and who are mostly reply to other student's posts or which students' post are mostly commented by others. Personal/Informal network shows that students tend to interact only with students on same location registered region office.
{"title":"Collaborative Learning in Virtual Learning Environment using Social Network Analysis: Case study Universitas Terbuka","authors":"Fitria Amastini, Cristin Purnama Sari Kaunang, Afifah Nefiratika, D. I. Sensuse, Sofian Lusa","doi":"10.23919/EECSI50503.2020.9251904","DOIUrl":"https://doi.org/10.23919/EECSI50503.2020.9251904","url":null,"abstract":"Distance learning is supposed to provide not only independent learning activities but also two-way interaction and collaborative learning based on inquiry model to control students' learning. E-learning is one of the platform to implement two-way interaction and inquiry model. Universitas Terbuka (UT) is the first open distance education university in Indonesia. This paper will study and visualize participation in discussion and interaction on the virtual learning environment (VLE) UT using Social Network Analysis (SNA). This paper also used a questionnaire to detect knowledge sharing behavior (KSB) in the Collaborative Learning Environment (CLE) based on Social Presence, Perceived Online Attachment Motivation, Perceived Online Relationship Commitment, and Altruism indicators. For the perception of students and evaluation about e-learning UT, we use Yilmaz's Transactional Distance. The results of the measurement network in forum discussion can detect that the tutors are most important, and who are mostly reply to other student's posts or which students' post are mostly commented by others. Personal/Informal network shows that students tend to interact only with students on same location registered region office.","PeriodicalId":6743,"journal":{"name":"2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)","volume":"27 1","pages":"262-269"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87904754","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}
Pub Date : 2020-10-01DOI: 10.23919/EECSI50503.2020.9251869
S. K. Sonbhadra, Sonali Agarwal, M. Syafrullah, K. Adiyarta
Monitoring and tracking of any target in a surveillance system is an important task. When these targets are human then this problem comes under person identification and tracking. At present, large scale smart video surveillance system is an essential component for any commercial or public campus. Since field of view (FOV) of a camera is limited; for large area monitoring, multiple cameras are needed at different locations. This paper proposes a novel model for tracking a person under multiple non-overlapping cameras. It builds the reference signature of the person at the beginning of the tracking system to match with the upcoming signatures captured by other cameras within the specified area of observation with the help of trained support vector machine (SVM) between two cameras. For experiments, wide area re-identification dataset (WARD) and a real-time scenario have been used with color, shape and texture features for person's re-identification.
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