2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)最新文献_第7页

Face RGB-D Data Acquisition System Architecture for 3D Face Identification Technology 面向三维人脸识别技术的RGB-D数据采集系统架构

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752925

Aldi Bayu Kreshnanda Ismail, Ihsan Fikri Abdurahman Muharram, Adnan Rachmat Anom Besari, D. Pramadihanto

{"title":"Face RGB-D Data Acquisition System Architecture for 3D Face Identification Technology","authors":"Aldi Bayu Kreshnanda Ismail, Ihsan Fikri Abdurahman Muharram, Adnan Rachmat Anom Besari, D. Pramadihanto","doi":"10.1109/EECSI.2018.8752925","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752925","url":null,"abstract":"The three-dimensional approach in face identification technology had gained prominent significance as the state-of-the-art breakthrough due to its ability to address the currently developing issues of identification technology (illumination, deformation and pose variance). Consequently, this trend is also followed by rapid development of the three-dimensional face identification architectures in which some of them, namely Microsoft Kinect and Intel RealSense, have become somewhat today’s standard because of its popularity. However, these architectures may not be the most accessible to all due to its limited customisation nature being a commercial product. This research aims to propose an architecture as an alternative to the pre-existing ones which allows user to fully customise the RGB-D data by involving open source components, and serving as a less power demanding architecture. The architecture integrates Microsoft LifeCam and Structure Sensor as the input components and other open source libraries which are OpenCV and Point Cloud Library (PCL). The result shows that the proposed architecture can successfully perform the intended tasks such as extracting face RGB-D data and selecting out region of interest in the face area.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"86 1","pages":"503-508"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77634503","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

Automatic User-Video Metrics Creations From Emotion Detection 从情感检测自动用户视频指标创建

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752750

Darari Nur Amali, Adnan Rachmat Anom Besari, Ali Ridho Barakbah, Dias Agata

{"title":"Automatic User-Video Metrics Creations From Emotion Detection","authors":"Darari Nur Amali, Adnan Rachmat Anom Besari, Ali Ridho Barakbah, Dias Agata","doi":"10.1109/EECSI.2018.8752750","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752750","url":null,"abstract":"In this digital era, digital content especially video, is increasing in number from time to time. Typically, a video service provider like Youtube will perform video analysis based on the video content such as colours, textures, shapes, and other features that exist in video content. The result of this analysis was used to understand user preference and to personalize video for each user. With technological developments, especially in Machine Learning and Computer Vision technology, video analysis can be based on other things beyond the video. In this context, it is the audience's impression. Thus, with the analysis of audience impressions in real-time, it is expected that the video can be analysed using the emotion parameters of the audience while the video is playing, and this can be done automatically and real-time. This system generates impression statistic for each video which concluded from every user who has watched the video and save those data in the database. Method used to analyse the result is by recruiting respondent and give some questionnaires. Respondents were asked to watch some videos and were asked to compare the impression metric which created by the system with user’s real impression. The result shos that the automatic video-metric creation from emotion detection has been able to measure user’s impression of the video with more than 80% accuracy stated by 75% of 20 respondents of the survey.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"25 1","pages":"663-668"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76285706","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

Feasibility Study of Rooftop Grid Connected PV System for Peak Load Reduction 屋顶并网光伏系统减峰的可行性研究

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752957

Syafii, Novizon, Wati, Dona Juliandri

{"title":"Feasibility Study of Rooftop Grid Connected PV System for Peak Load Reduction","authors":"Syafii, Novizon, Wati, Dona Juliandri","doi":"10.1109/EECSI.2018.8752957","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752957","url":null,"abstract":"This paper presented the economic feasibility analysis of grid-connected photovoltaic on the roof of building, to reduce peak electrical demand. The Engineering Faculty electrical system is used as case study of PV system economic feasibility. The economic calculation assumptions used are: electricity tariff IDR 1114.74 per kWh based on electricity tariff for medium voltage load, estimated annual module degradation 0.5% and the life expectancy of the solar panels 25 years. The interest rate using of Bank Indonesia (BI) rate for 2018 i.e. 4.25% and inflation rate 3% also considered. The initial investment required to build 117.5 kWp PV system is IDR 2,413 million. The operational and maintenance costs are estimated 1% of initial investment per year. The result of cash flow rate shows that a positive NPV is achievable and payback period less then solar panels life expectancy. The simple payback period is 11 years and discounted payback period calculated by consider multiple parameters to be 14 years. The result of economic analysis using current rate value indicate that the project is profitable.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"84 1","pages":"231-235"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85538498","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

A New Method for Minimizing the Unnecessary Handover in High-Speed Scenario 一种高速场景下最小化不必要切换的新方法

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752914

Yew Hoe Tung, Muhammad Haikal Satria, Rindu Nurma Illahi

{"title":"A New Method for Minimizing the Unnecessary Handover in High-Speed Scenario","authors":"Yew Hoe Tung, Muhammad Haikal Satria, Rindu Nurma Illahi","doi":"10.1109/EECSI.2018.8752914","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752914","url":null,"abstract":"The application of Wireless Local Area Network (WLAN) is limited to indoor or pedestrian walking speed environment because the small WLAN coverage will lead to the growth of unnecessary handover rate in high-speed scenario. The previously proposed traveling distance prediction based handover methods assumed mobile terminal (MT) travels at a constant speed is impractical as most of the MTs may not be traveling at constant speed in real environment. These methods have poor performance in case of acceleration because MT will leave the network earlier than the estimated time. In this paper, a new traveling distance prediction based handover scheme that is aware of MT’s speed changes is proposed to overcome the limitation of the existing methods. The proposed scheme is adapted to the MT velocity and acceleration or deceleration rate. The numerical result shows that the performance of the proposed scheme is better than the existing handover methods in high-speed scenario. It keeps the probability of unnecessary handover within the user acceptable level in high-speed scenario.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"1 1","pages":"580-583"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76776457","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 Design of Coreless Permanent Magnet Axial Flux Generator for Low Speed Wind Turbine 低速风力发电机用无芯永磁轴向磁通发生器的设计

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752667

A. Yusuf, M. Irfan, M. M. Razzaq

{"title":"A Design of Coreless Permanent Magnet Axial Flux Generator for Low Speed Wind Turbine","authors":"A. Yusuf, M. Irfan, M. M. Razzaq","doi":"10.1109/EECSI.2018.8752667","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752667","url":null,"abstract":"Most of the available generators in the market are a high speed induction generator which requires high rotational speed and electricity to generate a magnetic field. However, there are very few low-speed generators that exist in the market that available for small energy resources. This paper aims to design and simulate a Coreless Permanent Magnet Axial Flux Generator (PMAFG) for low speed wind turbine. An axial flux generator was designed to have a low speed rotation using a permanent magnet of the type Neodymium Iron Boron (NdFeB). The model was examined with excel to data analyzed. Coreless PMAFG is a generator that is enabled to turn on energy at low speeds. The chosen model was Double Rotor – Single Stator (12 Slots 8 Poles) using Infolytica Magnet software. Finite Element Method (FEM) was employed to analyze the phenomena of the magnetic flux. The test was simulated using static rotation method, which rotated every 3 degrees at 350 rpm with 100 turns and 10, 30, 50, 80 and 100 Ohm of load variations. Compare to the calculation of the design, results of the simulation in terms of voltage, current, power and efficiency had been met with only very small errors.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"101 1","pages":"637-641"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80617059","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

Co-channel Interference Monitoring based on Cognitive Radio Node Station 基于认知无线节点站的同信道干扰监测

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752773

Arief Marwanto, M. U. Nuha, Jenny P Hapsary, Daniel Triswahyudi

{"title":"Co-channel Interference Monitoring based on Cognitive Radio Node Station","authors":"Arief Marwanto, M. U. Nuha, Jenny P Hapsary, Daniel Triswahyudi","doi":"10.1109/EECSI.2018.8752773","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752773","url":null,"abstract":"Most of installation on wireless LAN on the building is not considering location and geographic space are which probable co-channel interference among near-far wi-fi stations. The use of the same channel which causes of receiver stations experiences of error transmission and delay among data transmission. To analyze this drawbacks, cognitive radio (CR) is adopted which able to monitoring co-channel interference on wi-fi stations. Node MCU Arduino is used to proposed cognitive radio terminal which able to analyzed and monitoring co-channel interference among wi-fi stations known as co-channel monitoring cognitive radio (CCMCR). One of the CR task is ability to sensing the whole spectrum channel that operated in certainty frequency. Node MCU is sensed the energy power of the wi-fi stations and converted by analog-to-digital converter which detected power level of the received signal strength indicator (RSSI). The proposed model is examined by indoor experiments which obtained 63.8% co-channel average and adjacent-channel is 36.1%. Thus the proposed CCMCR node station is able to monitor co-channel interference and adjacent-channel as well. Therefore, the results could be used as the basic analysis for the development and installation of wi-fi stations in the building.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"34 1","pages":"286-291"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91501180","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

Stator Flux Oriented Control of Three-Phase Induction Motor with Improved Decoupling Scheme 基于改进解耦方案的三相异步电动机定子磁链定向控制

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752762

Irvan Arif, B. Harini, F. Yusivar

引用次数: 3

Optimal Power Flow using Fuzzy-Firefly Algorithm 基于模糊萤火虫算法的最优潮流

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752903

D. Lastomo, Widodo, H. Setiadi

引用次数: 5

Success Factors of Human Resource Information System Implementation: A Case of Ministry of State-owned Enterprise 人力资源信息系统实施的成功因素——以国有企业部为例

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752703

Wita Puspitarini, P. W. Handayani, A. Pinem, F. Azzahro

{"title":"Success Factors of Human Resource Information System Implementation: A Case of Ministry of State-owned Enterprise","authors":"Wita Puspitarini, P. W. Handayani, A. Pinem, F. Azzahro","doi":"10.1109/EECSI.2018.8752703","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752703","url":null,"abstract":"This study aims to analyze factors influencing the successful implementation of Human Resources Information System (HRIS) at the Ministry of State-Owned Enterprises (MSOE). There are 22 factors influence the success of HRIS implementation that are categorized into 4 dimensions, namely human, organization, technology and environment based on DeLone & McLean information system success model, HOT (human-organization-technology) fit model and TOE (technology-organization-environment). This research use quantitative method approach and data collection is gathered using questionnaire. Method of data analysis using Entropy method to calculate the weight of success factors and dimensions, and rank factors and dimensions. There are 99 respondents of the HRIS users provided data through the questionnaires distributed to them. This study shows that the dimensions influencing the success of HRIS implementation at the MSOE in priority order are technology, human, environment and organization. In addition, there are 5 factors selected with the highest weights namely information quality, service quality, top management support, system quality and social influence.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"30 1","pages":"23-27"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84939701","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: 4

Bioelectrical measurement for sugar recovery of sugarcane prediction using artificial neural network 生物电测量在甘蔗糖回收的人工神经网络预测中的应用

2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI) Pub Date : 2018-10-01 DOI: 10.1109/EECSI.2018.8752643

S. Sucipto, M. Arwani, Y. Hendrawan, S. Widaningtyas, D. F. al Riza, S. Yuliatun, S. Supriyanto, A. Somantri

{"title":"Bioelectrical measurement for sugar recovery of sugarcane prediction using artificial neural network","authors":"S. Sucipto, M. Arwani, Y. Hendrawan, S. Widaningtyas, D. F. al Riza, S. Yuliatun, S. Supriyanto, A. Somantri","doi":"10.1109/EECSI.2018.8752643","DOIUrl":"https://doi.org/10.1109/EECSI.2018.8752643","url":null,"abstract":"One of the problems in the sugar industry is lack of low cost, simple and accurate measurement techniques for sugar recovery of sugarcane in the field or laboratory. This study investigated the potential using of bioelectrical properties as a non-destructive technique for this purpose. A parallel plate capacitor was developed to measure the bioelectric properties of sugarcane in a lateral and longitudinal position of the samples. Eighteen internode samples from 3 sugarcane varieties were measured within 0.1-10 kHz frequency range of LCR meter and then was analyzed sugar recovery in the laboratory. The result showed that in the lateral position are more capacitive and resistive than the longitudinal position. Artificial neural network (ANN) was developed for prediction of sugar recovery as a function of bioelectrical properties. The best ANN model produces a high accuracy in the lateral bioelectrical measurement position with a correlation coefficient (R) > 0.90 and mean square error (MSE) < 0.05. It showed that the ANN model based on bioelectrical properties had the potential to be developed as a simple technique to predict the sugar recovery of sugarcane.","PeriodicalId":6543,"journal":{"name":"2018 5th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI)","volume":"193 1","pages":"652-656"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73761138","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