2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)最新文献_第5页

Image block matching based on GLCM (gray level co-occurence matrix) texture feature on grayscale image auto coloring 基于灰度共生矩阵纹理特征的灰度图像块匹配

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124099

Muhammad Sipan, N. S. M. Susiki, E. M. Yuniarno

引用次数: 3

Identification of cracking sound during coffee roasting using neural network 用神经网络识别咖啡烘烤过程中的裂纹声

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124093

Fathurrozi Winjaya, M. Rivai, D. Purwanto

引用次数: 13

Novel estimated back EMF ZDP based sensorless controlled BLDCM using unknown input observer 基于未知输入观测器的新型估计反电动势ZDP无传感器控制无刷直流电机

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124081

Umesh Kumar Soni, R. K. Tripathi

引用次数: 2

Performance analysis of multiple input boost converter with inherent OR diode configuration 固有或二极管结构的多输入升压变换器的性能分析

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124076

T. Taufik, R. Muchtar, Mohammad Taufik

引用次数: 2

A comparison of platelets classification from digitalization microscopic peripheral blood smear 数字化显微外周血涂片血小板分类的比较

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124109

Z. E. Fitri, I. Purnama, Eko Pramunanto, Mauridhi Hery Pumomo

{"title":"A comparison of platelets classification from digitalization microscopic peripheral blood smear","authors":"Z. E. Fitri, I. Purnama, Eko Pramunanto, Mauridhi Hery Pumomo","doi":"10.1109/ISITIA.2017.8124109","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124109","url":null,"abstract":"Thrombocyte disease is usually caused by abnormalities, such as abnormalities based on the number and morphological deformities of platelets. Examples of platelet abnormalities include small platelets in Wiskottldrich syndrome, giant platelets in some chronic myeloproliferative diseases, Benard Soulier syndrome and Macrothrombocytopenia in gray platelet syndrome. The usual problem of automatic FBC analysis is that undetectable morphological abnormalities of platelets so the microscopic examination is required using peripheral blood smear. But microscopic examination also has some weakness such as subjective depend on medical analyst/pathologist. We propose an accurate method to classify plateles from digitalization microscopic peripheral blood smear using combination of second order statistic feature extraction and comparing several methods. The comparing methods are K-Nearest Neighbor (KNN) and Learning Vector Quantization (LVQ). In this feature extraction, we use Gray Level Co-occurrence Matrix (GLCM) to get Angular Second Moment (ASM), Invers Different Moment (IDM) and entropi values. Those values will be inserted as input in KNN classifier method to classify blood cell in peripheral blood smear. Classify of cells based on feature extraction values is divided into three classes (leukocytes, normal platelets and giant platelets). Based on the result of experiments, both of methods can classify platelets on all color channels with average accuracy are 83.67% for KNN and 74.75% for LVQ. So, The KNN classification method is better able than LVQ to classify platelets in peripheral blood smear.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122499582","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: 14

Multi-agent system based real-time control for standalone microgrid 基于多智能体系统的独立微电网实时控制

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124066

D. Leng, Kittichot Soontorntaweesub, S. Polmai

引用次数: 2

Background subtraction using spatial mixture of Gaussian model with dynamic shadow filtering 基于空间混合高斯模型和动态阴影滤波的背景减法

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124098

A. N. Rumaksari, S. Sumpeno, A. Wibawa

{"title":"Background subtraction using spatial mixture of Gaussian model with dynamic shadow filtering","authors":"A. N. Rumaksari, S. Sumpeno, A. Wibawa","doi":"10.1109/ISITIA.2017.8124098","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124098","url":null,"abstract":"Many applications of computer vision, motion captures nowadays are an active research field. Supported by camera innovation in high definition technology and high-speed processing unit technology make higher degree on object detection standard. We can see it from the increasing number of new methods that have improvement in accuracy. In automatic vehicle surveillance area, Spatial Mixture Gaussian model becomes well-known moving based object detection via background subtraction technique in this decades. This method models particular pixel as mixture of Gaussians distribution with regard to pixel's higher probability of occurrences and variance of each Gaussians in the mixture model. Although, this model has threshold to control the sensitivity of object's motion, it has problem with separating an object from its shadow. This is happening because the shadow attaches to the object. Since they always move in tandem, as the result, detected object area will merge and shadow and object will form into a single unity that is difficult to separate. In accordance with detection, occluded object because of a shadow will decrease detector's accuracy. Therefore, we need to remove shadow, in order to maintain detector's quality of accuracy. Challenge in doing so is there is exist dynamic illumination condition which resulting a nonuniform shadow pixel value. This can cause failure of threshold-based linear shadow casting technique. To solve above-mentioned problem, we need a shadow filter that can adapt to the illumination changes. In this experiment, we have successfully implemented an adaptive shadow filter based on DSD algorithm to improve background subtraction method. Our proposed method has a stable result in outdoor environment dataset and it is proven to be able applied to traffic surveillance video application.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123040613","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

Hybrid QP-PSO for solving economic dispatch with valve point effect 求解具有阀点效应的经济调度的混合QP-PSO

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124056

Trisna Wati, R. S. Wibowo, O. Penangsang

引用次数: 0

Classification of EMG signals from forearm muscles as automatic control using Naive Bayes 基于朴素贝叶斯的前臂肌电信号自动控制分类

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124107

Adi Dwi Irwan Falih, W. A. Dharma, S. Sumpeno

{"title":"Classification of EMG signals from forearm muscles as automatic control using Naive Bayes","authors":"Adi Dwi Irwan Falih, W. A. Dharma, S. Sumpeno","doi":"10.1109/ISITIA.2017.8124107","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124107","url":null,"abstract":"The wheelchair is still a mobility aids commonly used by patients with muscle weakness or stroke patients. Some stroke patients, having constraints in moving a joystick or controlling an electric wheelchair due to muscle limitations of their hands Myo-armband, as wearable device that have an Electromyogram sensor can be used as an alternative in controlling the electric device like wheelchair more easily. The Electromyography Research (EMG) on feature of particular muscle activation pattern which has correlation with a motion contributes inspiration to be applied as motion control media on electric wheelchair. Classification process of EMG will be a new alternative to control wheelchair movement for user or patient who hasn't latitude to move their limb and just able to do easy motion using their forearm. The stages of this project is detecting signal in the muscle using EMG, extracting feature of muscle response in time domain base, and be classified by Naïve Bayes, the dataset classification is pinned in raspberry and output to arduino controller to be used as output motion in motor of electric wheelchair. The result of this research is classification of MAV feature, Peak number, RMS and Gradient Magnitude in 275 stream of muscle data show that detected and correctly can be discriminate 90.18%, thus, a sum of 248 instances and wrongly 9.8182% a sum of 27 instances.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132740808","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: 9

Effect on fault current lever reduction by using resistive fault current limiter in 110 kV Binh an substation 电阻式故障限流器对110 kV平安变电站故障电流水平降低的效果

2017 International Seminar on Intelligent Technology and Its Applications (ISITIA) Pub Date : 2017-08-01 DOI: 10.1109/ISITIA.2017.8124071

N. Tung, Nguyễn Quang Việt

{"title":"Effect on fault current lever reduction by using resistive fault current limiter in 110 kV Binh an substation","authors":"N. Tung, Nguyễn Quang Việt","doi":"10.1109/ISITIA.2017.8124071","DOIUrl":"https://doi.org/10.1109/ISITIA.2017.8124071","url":null,"abstract":"In the context of development quickly in recent period, electric power system in Viet Nam, with the power system load increases fastly, this resulted in the phenomenon of increased short circuit current value (NM) on grid. The fast development of the power source in recent period and the increasing power system load have led to rapid rising of short circuit current value on the grid. It existed already many points on the grid where short circuit current values exceed the allowed value. [1]. This article aims at searching, giving out the solutions for limiting the short circuit current on Viet Nam grid by installing a Resistive Fault Current Limiter (R-FCL) into neutral conductor of the transformer. This solution is carried out with the following steps: (1)establishing calculating method for installed resistant value, (2) Simulating grid involved resistive current fault limiter, (3) installing limiter apparatus on the real grid with the Resistant product provided by Bolid manufacturer[2], (4) Comparing the experimental result with the simulating results with the simulating results. This would give out the solution for limiting short circuit current applied in a case on Viet Nam grid-110 Kv Binh An transformer substation. The results have shown high effectiveness of applying R-FCL on Viet Nam grid.","PeriodicalId":308504,"journal":{"name":"2017 International Seminar on Intelligent Technology and Its Applications (ISITIA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133436361","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