2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)最新文献_第10页

Analysis of EMG based Arm Movement Sequence using Mean and Median Frequency 用平均频率和中位数频率分析基于肌电图的手臂运动序列

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752777

B. N. Cahyadi, W. Khairunizam, M. Muhammad, I. Zunaidi, S. Majid, R. N., S. A. Bakar, Z. Razlan, W. Mustafa

{"title":"Analysis of EMG based Arm Movement Sequence using Mean and Median Frequency","authors":"B. N. Cahyadi, W. Khairunizam, M. Muhammad, I. Zunaidi, S. Majid, R. N., S. A. Bakar, Z. Razlan, W. Mustafa","doi":"10.1109/EECSI.2018.8752777","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752777","url":null,"abstract":"This paper present the studies of analysis arm movement sequence which dedicated for upper limb rehabilitation after stroke. The recovery of the arm could be optimized if the rehabilitation therapy is in a right manner. Upper limb weakness after stroke is prevalent in post-stroke rehabilitation, many factors that can deficit muscle strength there are neural, muscle structure and function change after stroke. Rehabilitation process needs to start as soon as after a stroke attack, repetitive and conceptualized. On the other hand monitoring of muscle activity also need in the rehabilitation process to evaluate muscle strength, motor function and progress in the rehabilitation process. The objective of this research is to analysis arm movement sequence using the feature frequency domain. In this study deltoid, biceps and flexor carpum ulnaris (FCU) muscles will be monitored by surface electromyography (sEMG). Five healthy subjects male and female become participants in data recording. Mean frequency (MNF) and median frequency (MDF) domain are two signals processing technique used for arm movement sequence analyzing. The analysis result showed that MNF is better than MDF where MNF produced higher frequency than MDF from each segment. From the data analysis, this movement sequence design more focuses on deltoid and FCU muscles treatment. This movement sequence has five condition movements. First undemanding, second difficult, third moderate, fourth moderate and the last cool-down movements. The best movement sequence minimum has four condition movements warming up – moderate – difficult – cool-down.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"94 1","pages":"440-444"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83877539","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: 6

Analysis and Design of Decision Support System Dashboard for Predicting Student Graduation Time 学生毕业时间预测决策支持系统仪表板的分析与设计

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752876

S. Wibowo, R. Andreswari, M. A. Hasibuan

{"title":"Analysis and Design of Decision Support System Dashboard for Predicting Student Graduation Time","authors":"S. Wibowo, R. Andreswari, M. A. Hasibuan","doi":"10.1109/EECSI.2018.8752876","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752876","url":null,"abstract":"Information Systems is one of the existing study program at Telkom University that has produced many graduates since it was established in 2008. However, not all graduates produced successfully completed the study period during the four years of normal study. The percentage of graduates on time has some decline between the target and the achievement of the study program. From academic year 2014/2015 to 2016/2017 decrease annually about 1% every year, which is it becomes problems for the credibility and existence of study program and also for academic planners who may have an impact on accreditation assessment process of the study program when it is audited. One of the efforts that can be done by the study program to increase the students on time graduation rate is by making decision support system dashboard that giving early warning to the lecturer or the head of the study program if there are students who are predicted not to graduate on time. By using the C4.5 algorithm to perform the data analysis by looking at the causes of student’s graduation time and pureshare methodology to perform dashboard development method. The result of this study is a prototype of decision support system dashboard, because there are lack of analysis in decision making and the dashboard only showing information and temporary prediction. The data model that used on this research is labeling data that has been processed using C4.5 algorithm and data that has been through data cleansing process using Pentaho Data Integration. This prototype is expected to be used as a reference base to support academic planners in order to make this application run with real time data.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"8 1","pages":"684-689"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84234028","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: 8

OCT for non-destructive examination of the internal biological structures of mosquito specimen 用于蚊子标本内部生物结构无损检测的OCT

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752659

N. Ravichandran, Deokmin Jeon, Junsoo Lee, Jaeseok Park, B. Yun, Sangbong Lee, Pilun Kim, Kwang-Shik Choi, H. Jung, Byeonggyu Jeon, Mansik Jeon, Jeehyun Kim

{"title":"OCT for non-destructive examination of the internal biological structures of mosquito specimen","authors":"N. Ravichandran, Deokmin Jeon, Junsoo Lee, Jaeseok Park, B. Yun, Sangbong Lee, Pilun Kim, Kwang-Shik Choi, H. Jung, Byeonggyu Jeon, Mansik Jeon, Jeehyun Kim","doi":"10.1109/EECSI.2018.8752659","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752659","url":null,"abstract":"The Study of mosquitoes and their behavioral analysis are of crucial importance to control the alarmingly increasing mosquito-borne diseases. Conventional imaging techniques use either dissection, exogenous contrast agents. Non-destructive imaging techniques, like x-ray and microcomputed tomography uses ionizing radiations. Hence, a non-destructive and real-time imaging technique which can obtain high resolution images to study the anatomical features of mosquito specimen can greatly aid researchers for mosquito studies. In this study, the three-dimensional imaging capabilities of optical coherence tomography (OCT) for structural analysis of Anopheles sinensis mosquitoes has been demonstrated. The anatomical features of An. sinensis head, thorax, and abdomen regions along with internal morphological structures like foregut, midgut, and hindgut were studied using OCT imaging. Two-dimensional (2D) and three-dimensional (3D) OCT images along with histology images were helpful for the anatomical analysis of the mosquito specimens. From the concurred results and by exhibiting this as an initial study, the applicability of OCT in future entomological researches related to mosquitoes and changes in its anatomical structure is demonstrated.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"1967 1","pages":"436-439"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91397991","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

Multispectral Imaging and Convolutional Neural Network for Photosynthetic Pigments Prediction 多光谱成像和卷积神经网络用于光合色素预测

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752649

K. Prilianti, Ivan C. Onggara, M. A. Adhiwibawa, T. H. Brotosudarmo, S. Anam, A. Suryanto

{"title":"Multispectral Imaging and Convolutional Neural Network for Photosynthetic Pigments Prediction","authors":"K. Prilianti, Ivan C. Onggara, M. A. Adhiwibawa, T. H. Brotosudarmo, S. Anam, A. Suryanto","doi":"10.1109/EECSI.2018.8752649","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752649","url":null,"abstract":"The evaluation of photosynthetic pigments composition is an essential task in agricultural studies. This is due to the fact that pigments composition could well represent the plant characteristics such as age and varieties. It could also describe the plant conditions, for example, nutrient deficiency, senescence, and responses under stress. Pigment role as light absorber makes it visually colorful. This colorful appearance provides benefits to the researcher on conducting a nondestructive analysis through a plant color digital image. In this research, a multispectral digital image was used to analyze three main photosynthetic pigments, i.e., chlorophyll, carotenoid, and anthocyanin in a plant leaf. Moreover, Convolutional Neural Network (CNN) model was developed to deliver a real-time analysis system. Input of the system is a plant leaf multispectral digital image, and the output is a content prediction of the pigments. It is proven that the CNN model could well recognize the relationship pattern between leaf digital image and pigments content. The best CNN architecture was found on ShallowNet model using Adaptive Moment Estimation (Adam) optimizer, batch size 30 and trained with 15 epoch. It performs satisfying prediction with MSE 0.0037 for in sample and 0.0060 for out sample prediction (actual data range -0.1 up to 2.2).","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"27 1","pages":"554-559"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85027953","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

Indonesian ID Card Recognition using Convolutional Neural Networks 使用卷积神经网络识别印尼身份证

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752769

M. O. Pratama, W. Satyawan, Bagus Fajar, Rusnandi Fikri, Haris Hamzah

引用次数: 9

Quasi Z-Source Inverter as MPPT on Renewable Energy using Grey Wolf Technique 准z源逆变器在可再生能源上的应用灰狼技术

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752686

Quota Alief Sias, I. Fadlika, I. Wahyono, Arif Nur Afandi

引用次数: 3

ML-Optimized Beam-based Radio Coverage Processing in IEEE 802.11 WLAN Networks IEEE 802.11 WLAN网络中基于ml优化波束的无线电覆盖处理

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752874

Mehdi Guessous, L. Zenkouar

引用次数: 2

Automated Diagnosis System of Diabetic Retinopathy Using GLCM Method and SVM Classifier 基于GLCM方法和SVM分类器的糖尿病视网膜病变自动诊断系统

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752726

Ahmad Zoebad Foeady, D. C. R. Novitasari, Ahmad Hanif Asyhar, Muhammad Firmansjah

{"title":"Automated Diagnosis System of Diabetic Retinopathy Using GLCM Method and SVM Classifier","authors":"Ahmad Zoebad Foeady, D. C. R. Novitasari, Ahmad Hanif Asyhar, Muhammad Firmansjah","doi":"10.1109/EECSI.2018.8752726","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752726","url":null,"abstract":"Diabetic Retinopathy (DR) is the cause of blindness. Early identification needed for prevent the DR. However, High hospital cost for eye examination makes many patients allow the DR to spread and lead to blindness. This study identifies DR patients by using color fundus image with SVM classification method. The purpose of this study is to minimize the funds spent or can also be a breakthrough for people with DR who lack the funds for diagnosis in the hospital. Pre-processing process have a several steps such as green channel extraction, histogram equalization, filtering, optic disk removal with structuring elements on morphological operation, and contrast enhancement. Feature extraction of preprocessing result using GLCM and the data taken consists of contrast, correlation, energy, and homogeneity. The detected components in this study are blood vessels, microaneurysms, and hemorrhages. This study results what the accuracy of classification using SVM and feature from GLCM method is 82.35% for normal eye and DR, 100% for NPDR and PDR. So, this program can be used for diagnosing DR accurately.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"12 1","pages":"154-160"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74366186","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: 28

UUID Beacon Advertisements For Lecture Schedule Information UUID信标广告讲座时间表信息

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752953

Wiwin Agus Kristiana, Mochamad Mizanul Achlaq, Benediktus Anindito, Aryo Nugroho, Cahyo Darujati, Moh Noor Al Azam

{"title":"UUID Beacon Advertisements For Lecture Schedule Information","authors":"Wiwin Agus Kristiana, Mochamad Mizanul Achlaq, Benediktus Anindito, Aryo Nugroho, Cahyo Darujati, Moh Noor Al Azam","doi":"10.1109/EECSI.2018.8752953","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752953","url":null,"abstract":"Smartphone users are increasingly diverse in using their phones. Some tasks that monitored through the bulletin boards or computer screens, lately it can be done anywhere with a mobile phone while on the move. Similarly, the features in smartphones are increasingly following the development of communication technology. One of them is Bluetooth version 4, which currently can always be available on all types of smartphones. Even for entry-level phones that commonly used by students, nowadays are equipped with the new version of Bluetooth. In this paper discussed the application of BLE or Bluetooth Low Energy, which is part of Bluetooth version 4, to provide the information about availability, lecture schedule, and lecture room at the University Narotama. By using this BLE communication technology all smartphones equipped with BLE, enabling the NARO-MOBILE application and residing in the campus environment, will receive all the latest information provided by SIMNARO - Narotama University Management Information System, in a real-time.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"44 1","pages":"270-276"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90574306","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: 1

Individual Factors As Antecedents of Mobile Payment Usage 个人因素是移动支付使用的先决条件

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752889

Radinal Setyadinsa, M. R. Shihab, Y. G. Sucahyo

引用次数: 2