2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI)最新文献_第3页

Analysis on the Cogging Torque of Permanent Magnet Machine for Wind Power Applications 风电用永磁电机齿槽转矩分析

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251912

Tajuddin Nur, Linda Wijayanti, Anthon de Fretes, K. O. Bachri

引用次数: 0

Analysis of Autopsy Mobile Forensic Tools against Unsent Messages on WhatsApp Messaging Application 针对WhatsApp消息应用程序中未发送消息的尸检移动法医工具分析

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251876

Fahdiaz Alief, Y. Suryanto, Linda Rosselina, T. Hermawan

{"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}

引用次数: 2

A Wireless ECG Device with Mobile Applications for Android 一种具有Android移动应用程序的无线心电设备

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251871

Mohamad Hafis Nornaim, N. A. Abdul-Kadir, F. Harun, M. A. A. Razak

引用次数: 3

An Overview of Knowledge Mapping in Digital Business Industry: A Systematic Literature Review 数字商业领域知识图谱研究综述:系统文献综述

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251878

D. I. Sensuse, Alifiannisa Lawami Diar, Sofian Lusa, Damayanti Elisabeth

{"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}

引用次数: 0

IoT in Patient Respiratory Condition & Oxygen Regulator's Flowrate Monitor 物联网在患者呼吸状况和氧气调节器的流量监视器

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251293

Ayu Jati Puspitasari, Arya Nicosa, Djiwo Harsono, Dian Bayu Prakarsa

{"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}

引用次数: 0

Characterization of Polydimethylsiloxane Dielectric Films for Capacitive ECG Bioelectrodes 电容性ECG生物电极用聚二甲基硅氧烷介电膜的表征

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251882

A. H. Umar, F. Harun, Yusmeeraz Yusof

{"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}

引用次数: 0

Aggressive driving behaviour classification using smartphone's accelerometer sensor 使用智能手机的加速度传感器进行侵略性驾驶行为分类

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251913

S. K. Sonbhadra, Sonali Agarwal, M. Syafrullah, K. Adiyarta

引用次数: 0

Ball and Beam Control using Adaptive PID based on Q-Learning 基于q -学习的自适应PID球梁控制

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251898

Brilian Putra Amiruddin, R. E. A. Kadir

引用次数: 1

Collaborative Learning in Virtual Learning Environment using Social Network Analysis: Case study Universitas Terbuka 基于社会网络分析的虚拟学习环境中的协作学习:以日本特布卡大学为例

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251904

Fitria Amastini, Cristin Purnama Sari Kaunang, Afifah Nefiratika, D. I. Sensuse, Sofian Lusa

{"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}

引用次数: 3

Person tracking with non-overlapping multiple cameras 使用不重叠的多个摄像头进行人员跟踪

2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI) Pub Date : 2020-10-01 DOI: 10.23919/EECSI50503.2020.9251869

S. K. Sonbhadra, Sonali Agarwal, M. Syafrullah, K. Adiyarta

引用次数: 1