2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)最新文献_第7页

KNN Classification for CBIR with Color Moments, Connected Regions, Discrete Wavelet Transform 基于颜色矩的CBIR KNN分类，连通区域，离散小波变换

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981468

Kevin Song Mardi, V. C. Mawardi, Novario Jaya Perdana

{"title":"KNN Classification for CBIR with Color Moments, Connected Regions, Discrete Wavelet Transform","authors":"Kevin Song Mardi, V. C. Mawardi, Novario Jaya Perdana","doi":"10.1109/ICEEIE47180.2019.8981468","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981468","url":null,"abstract":"The difficulty of finding some specific images from a database creates a need for a system that applies the Content-Based Image Retrieval (CBIR) concept. Publicly, a CBIR system is a system that able to search and retrieve the desired images that have similarity in both visual characteristics and relevance terms. The proposed CBIR system is using three different feature extraction methods that is combined with the KNN Classification. The color feature will be extracted by Color Moments, the shape feature will be extracted by Connected Regions, and the texture feature will be extracted by Discrete Wavelet Transform. The images that will be used are animal images and separated into 10 classes. The KNN Classification will classify the query image first into a specific class before starting any retrieval process. The results from the system show that Color Moments has a precision of 45.8%, Connected Regions has a precision of 34.1%, and Discrete Wavelet Transform has a precision of 44.5%. Meanwhile, the combination of feature extraction methods without KNN Classification has a precision of 37.1%, while when combined with KNN Classification, the system has a precision of 68.7% with 100% classification accuracy. The experiment shows that the system needs KNN Classification to increase its usability and retrieval accuracy.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129051476","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

Design of Fan Beam Gamma Ray Tomography Scanning System 扇束伽玛射线断层扫描系统的设计

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981460

Fitria Yunita Dewi, Wibisono, Prawito

{"title":"Design of Fan Beam Gamma Ray Tomography Scanning System","authors":"Fitria Yunita Dewi, Wibisono, Prawito","doi":"10.1109/ICEEIE47180.2019.8981460","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981460","url":null,"abstract":"Industrial tomography system needs a fast data acquisition, as well as high accuracy and precision scanning control which is operated in an automated manner. In this research, the data were acquired from 2 detector fan beam scanning method. This design consists of: gamma ray source from Cs-137 isotope having 30 mCi activity, scintillation detector made of NaI(Tl) crystal connected to Ludlum M2200 radiation counter, and motion system made up of source rotator and detector rotator with each motion corresponds to one motor. The scanning system was controlled by Arduino Mega as a microcontroller and LabView as a graphical user interface. Microcontroller was used to actuate motors, read encoders, and communicate serially with radiation counter and PC. Motors were able to rotate the source and detector with angle starting from 1° around the center of rotation and take time about 1 second per degree rotation. Radiation counting resulted in 1.47% statistical error for 1-second counting time and decreased to 0.99% as counting time is increased to 2 seconds. The reconstructed image from the proposed fan beam method resulted in poorer quality than from the parallel beam method with the same pixel size. However, for nearly same quality of the image, the proposed method required less scan time. Spatial resolution of both methods could identify the holes within phantom with diameters starting from 1 cm.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128192005","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

Self Energy Management System for Battery Operated Data Logger Device Based on IoT 基于物联网的电池供电数据记录仪自我能量管理系统

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981406

M. Hadi, Mochammad Rizal Maulana, M. A. Mizar, I. Zaeni, A. Afandi, Mhd Irvan

{"title":"Self Energy Management System for Battery Operated Data Logger Device Based on IoT","authors":"M. Hadi, Mochammad Rizal Maulana, M. A. Mizar, I. Zaeni, A. Afandi, Mhd Irvan","doi":"10.1109/ICEEIE47180.2019.8981406","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981406","url":null,"abstract":"One of the problem with data loggers (data recording tools) from solar panels is that their use is limited to the capacity of the internal battery as a power supply. So the higher the capacity of the internal battery, the longer the data logger can operate and vice versa. It is necessary to have a feature to set the active and inactive time of the data logger in the process of recording data to improve the efficiency of internal battery usage. In this paper, an alternative solution is presented, namely through setting the active and inactive time of the data logger by using IoT (Internet of Things) based on the current time, sunrise time, and sunset time through the API (Application Programming Interface). The test results show that the device can monitor the parameters of solar panel voltage, current, power, temperature and humidity and internal battery voltage in real-time through a mobile device. With this method, the amount of internal battery power savings is 65.56%,68.78%, and 69.21 % with the time interval for recording data every 1 minute, 5 minutes and 10 minutes respectively, which is tested for 24 hours.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128379353","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: 5

An Experimental Investigation of Power Limitation Based on a Signal Strength in Clustering Protocol Wireless Sensor Network 基于信号强度的聚类协议无线传感器网络功率限制实验研究

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981470

R. Wardhana, M. Taruk, H. S. Pakpahan, H. J. Setyadi, Gubtha Mahendra Putra, P. P. Widagdo

{"title":"An Experimental Investigation of Power Limitation Based on a Signal Strength in Clustering Protocol Wireless Sensor Network","authors":"R. Wardhana, M. Taruk, H. S. Pakpahan, H. J. Setyadi, Gubtha Mahendra Putra, P. P. Widagdo","doi":"10.1109/ICEEIE47180.2019.8981470","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981470","url":null,"abstract":"For decades, one of the most popular ideas in wireless communication literature is the idea about merging between wireless communication and sensor device, which known as a wireless sensor network. A wireless sensor network node is a small node with many limitations like a resource, range, energy, and many others. Transmission power control is one method for efficiency energy with limited power transmission. Clustering protocol is one rule on protocol wireless sensor network for grouping data from adjacent nodes for energy efficient. In this study, the researcher combines transmission power control with the clustering protocol for getting more efficient on energy consumption on the sensor node. From our simulation result, this method proven gets more saving energy. Wasteful energy still occurs mainly at the head of the cluster, not the use of energy in transmission but the use of energy in calculations especially to calculate the received signal stress indicator as to the main factor limiting power. But it matters more than without use limitation power control in conventional clustering protocol.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121318631","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

A New Computational Intelligence for Face Emotional Detection in Ubiquitous 一种新的泛在人脸情感检测计算智能

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981420

I. Wahyono, M. Ashar, I. Fadlika, Khoirudin Asfani, Djoko Saryono, Sunarti

{"title":"A New Computational Intelligence for Face Emotional Detection in Ubiquitous","authors":"I. Wahyono, M. Ashar, I. Fadlika, Khoirudin Asfani, Djoko Saryono, Sunarti","doi":"10.1109/ICEEIE47180.2019.8981420","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981420","url":null,"abstract":"Ubiquitous was increasingly used in industrial technology 4.0, especially those aimed at facilitating human's activities. This was due to the fact that ubiquitous technology was small and inexpensive, but had limited resources. Research on ubiquitous had been widely developed, especially in the use of sensors in ubiquitous. Sensor optimization of facial detections had also been done a lot. High computation for face detection and facial emotions caused overload on ubiquitous. This was caused by limited resources. These limitations caused a decrease in the level of face detection accuracy. This research developed new techniques for face detection, especially emotions by using ubiquitous. This facial emotion detection used a hybrid Computational Intelligence algorithm whose process was done on ubiquitous. Fuzzy C-Mean algorithm functioned as a color grouping in face detection. The results of this color grouping were histograms. After the histogram process was complete, numerical values were obtained for each photo of facial emotion. Each facial emotion had a histogram numeric value which was used as a data set in this study. Experimental testing on this ubiquitous device produced an accuracy value of 77.5%.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131908379","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

Digital Content Model for E-Learning System in Higher Education 高等教育电子学习系统的数字内容模型

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981461

D. D. Prasetya, A. Wibawa, T. Hirashima, Y. Hayashi

引用次数: 1

Correlation of Laser Speckle Image with Metal Surface Changes due to Corrosion Process 金属腐蚀过程中激光散斑图像与表面变化的相关性研究

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981433

Feby Nirwana, P. Prajitno, S. Wijaya

{"title":"Correlation of Laser Speckle Image with Metal Surface Changes due to Corrosion Process","authors":"Feby Nirwana, P. Prajitno, S. Wijaya","doi":"10.1109/ICEEIE47180.2019.8981433","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981433","url":null,"abstract":"When a surface is illuminated by a laser beam, a speckle pattern will appear in the form of dark and bright spots which are randomly distributed according to the surface roughness. Hence, surface deformation will produce a different speckle pattern. This study aims to see the correlation of surface deformation with changes in speckle pattern, so that it can qualitatively estimate metal resistance and observe surface characteristics due to corrosion process. The metal used were iron and carbon steel which were immersed in 0.1 M HNO3 acid solution. Every 10 minutes period, speckle images were captured using a CMOS camera and processed using 2-D Coefficient Correlation method and Feature Extraction of GLCM. The results showed a correlation between corroded metal and speckle pattern with precision rate of 2-D Coefficient Correlation was not less than 97.3% and 91.1% for GLCM Method. Analysis of 2-D Coefficient Correlation can be used to estimate that carbon steel was more resistant than iron. Meanwhile, the GLCM contrast and homogeneity features can be used to represent changing metal surface characteristics, but it was difficult to estimate metal resistance since the type of corrosion occurred in this study was different for each type of metal.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133546641","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

Comparison of Priori and FP-Growth Algorithms in Determining Association Rules 先验算法与FP-Growth算法在关联规则确定中的比较

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981438

Islamiyah, Putri Lestari Ginting, N. Dengen, M. Taruk

{"title":"Comparison of Priori and FP-Growth Algorithms in Determining Association Rules","authors":"Islamiyah, Putri Lestari Ginting, N. Dengen, M. Taruk","doi":"10.1109/ICEEIE47180.2019.8981438","DOIUrl":"https://doi.org/10.1109/ICEEIE47180.2019.8981438","url":null,"abstract":"Collection of transaction data on the sale of goods of a minimarket, which is increasing every day, is often treated only as a record, causing data to accumulate in a database. Data mining can help the decision-making process quickly, making it possible to manage the information contained in transaction data into new knowledge. The purpose of this study was to analyze the data of sales transactions of goods by comparing the Apriori algorithm and the FP-Growth algorithm, to determine the association rules based on consumer purchase patterns with association techniques that seek several frequent itemsets and proceed with the establishment of Association Rules. The research utilizes primary data in the form of sales transactions from February to March 2018. The results of analyzing goods sales transaction data using Apriori algorithm and FP-Growth algorithm by setting a minimum support value of 4% and a minimum value of confidence of 19% is to produce a number of rules different associations where the Apriori algorithm produces 11 rules while FP-Growth produces 10 rules but has the final association value (the same and the execution time required by the FP-Growth algorithm is faster with 0.5 seconds than the Apriori algorithm which takes 0.6 seconds. This information very useful for managing the layout of items close together and allows designing marketing concepts to also provide stock.","PeriodicalId":418311,"journal":{"name":"2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133525720","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: 7

A Study of Sliding Mode Observer Sensorless of Brushless Motor using Embedded Coder Matlab/Simulink 基于嵌入式编码器的无刷电机滑模观测器无传感器研究

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981456

I. Syamsiana, Ming-Syhan Wang, Aripriharta, A. Firmansah

引用次数: 4

A Sundanese Characters Recognition Based on Backpropagation Neural Network Approach 基于反向传播神经网络的Sundanese汉字识别方法

2019 International Conference on Electrical, Electronics and Information Engineering (ICEEIE) Pub Date : 2019-10-01 DOI: 10.1109/ICEEIE47180.2019.8981469

H. S. Pakpahan, H. Haviluddin, Dinda Izmya Nurpadillah, Islamiyah Islamiyah, H. J. Setyadi, P. P. Widagdo

引用次数: 1