2016 International Conference on Information & Communication Technology and Systems (ICTS)最新文献_第3页

Poverty classification using Analytic Hierarchy Process and k-means clustering 基于层次分析法和k-均值聚类的贫困分类

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910310

Sarwosri, Dwi Sunaryono, R. Akbar, R. Setiyawan

引用次数: 9

Computer-aided screening for Acute Leukemia blood infection using gray-level intensity 灰色强度对急性白血病血液感染的计算机辅助筛查

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910275

Hatungimana Gervais, Daris Herumurti

{"title":"Computer-aided screening for Acute Leukemia blood infection using gray-level intensity","authors":"Hatungimana Gervais, Daris Herumurti","doi":"10.1109/ICTS.2016.7910275","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910275","url":null,"abstract":"Screening for Acute Leukemia is critical task just like other health diagnosis. Some computerized methods which do not need domain experts' involvement in decision making have been proposed. These methods main challenge lays in the image processing part of system design to isolate the lymphocyte from other blood cells while taking care of various morphological shapes of the lymphocytes. In this paper we propose a method to segment the lymphocyte from other white blood cells; the proposed method can take care of various shapes of lymphocytes. We use the segmented lymphocyte to extracted gray intensity features for building a classifier. The proposed method takes microscopic image as input data for processing and outputs diagnosis results saying that the patient's blood image was saint or has leukemia. The contribution brought by our proposed method is the ability to segment lymphocyte image from noisy image while maintaining both nucleoli and cytoplasm parts intact for the classification to be possible using only gray-scale intensity distribution. The experimentation resulted in 93.7% correctly classified, mean error 0.08, false positive 0.07 using Decision tree with cross-validation folds 10.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127624776","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

Application development for recognizing type of infant's cry sound 婴儿哭声类型识别的应用开发

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910291

Welly Setiawan Limantoro, C. Fatichah, Umi Laili Yuhana

{"title":"Application development for recognizing type of infant's cry sound","authors":"Welly Setiawan Limantoro, C. Fatichah, Umi Laili Yuhana","doi":"10.1109/ICTS.2016.7910291","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910291","url":null,"abstract":"Crying infant is a sign of baby who has a problem. But, some people are not able to recognize the meaning of infant's cry. Several researches to recognize infant's cry sound had been done by some researchers, but there is still no research that develop an application which able to recognize type of infant's cry sound based on web. In this research, an application is developed to help users identify the sound of crying infant based on Dunstan Baby Language. The method applied in this application are Mel-Frequency Cepstral Coefficient (MFCC) feature extraction for infant's cry sound, normalization of feature extraction result, and K-nearest neighbor classification. From the various tests performed, it can be concluded that highest average accuracy of 75.95 percent can be obtained by using parameters consist of 0.08 seconds wintime in MFCC feature extraction, 85 percent of training data and 15 percent of test data from any type of infant's cry sound, feature extraction normalization by Standard Deviation Normalization, and K-nearest Neighbor with k equal to 1 classification. While testing application by using all data, average accuracy of 96.57 percent can be obtained by using parameters consist of 0.08 seconds wintime in MFCC feature extraction, 85 percent of training data from any type of infant's cry sound, feature extraction normalization by Standard Deviation Normalization, and K-nearest Neighbor k equal to 1 classification. From that test, it can be concluded that the application has been running well when classifying all types of infant's cry sound data.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127786736","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

Determining bonus in Enterprise Resource Planning at Human Resource Management module using Key Performance Indicator 利用关键绩效指标确定人力资源管理模块中企业资源规划中的奖金

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910265

Dwi Al Aji Suseno, R. Sarno, Dwi Sunaryono

引用次数: 4

Resize My Image: A mobile app for interactive image resizing using multi operator and interactive genetic algorithm Resize My Image:一个使用多操作符和交互式遗传算法进行交互式图像调整的移动应用程序

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910273

A. Yuniarti, Stefanus Anggara, B. Amaliah

引用次数: 2

Job-Shop Scheduling model for optimization of the double track railway scheduling: (Case study: Solo-Yogyakarta railway network) 双线铁路调度优化的Job-Shop调度模型(以Solo-Yogyakarta铁路网为例)

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910279

Sarngadi Palgunadi, Dian Supraba, B. Harjito

引用次数: 1

Augmented reality application for cockroach phobia therapy using everyday objects as marker substitute 增强现实技术在蟑螂恐惧症治疗中的应用，使用日常用品作为标记替代品

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910271

Fiandra Fatharany, Ridho Rahman Hariadi, D. Herumurti, A. Yuniarti

{"title":"Augmented reality application for cockroach phobia therapy using everyday objects as marker substitute","authors":"Fiandra Fatharany, Ridho Rahman Hariadi, D. Herumurti, A. Yuniarti","doi":"10.1109/ICTS.2016.7910271","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910271","url":null,"abstract":"Augmented reality (AR) technology is useful for treating several psychological problems, including phobias such as fear of flying, agoraphobia, claustrophobia, and phobia to insects and small animals. However, the currently existing applications for therapy of cockroach phobia that uses AR technology are still very dependent towards the presence of markers, which might lessen the feeling of being in an actual scenario from everyday lives. In this paper, we created a system that is able to use everyday objects as a replacement for markers. There are five main processes: getting the live streaming feed from camera, preprocessing in which adaptive threshold was used as the image processing method, extracting the center point of the objects, tracking the objects, and lastly, instantiating cockroaches randomly underneath the objects. The evaluation in this paper includes eight participants that are carefully selected based on their Fear of Spiders Questionnaire (FSQ) score that is translated into Indonesian and modified to accommodate cockroaches instead of spiders. The system is able to induce a small to medium level of anxiety on participants that are measured using Standard Unit of Discomfort scale (SUDs). Meanwhile, this application has a high score for the presence and reality judgment that are measured using Slater-Usoh-Steed Questionnaire (SUS).","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"257 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133437445","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

Development of an online system to manage Hajj Pilgrims in Saudi Arabia 开发沙特阿拉伯朝觐在线管理系统

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910311

Gofran Sami, Wajdi Alhakami

引用次数: 1

Classification of EEG signals using Common Spatial Pattern-Principle Component Analysis and Interval Type-2 Fuzzy Logic System 基于公共空间模式-主成分分析和区间2型模糊逻辑系统的脑电信号分类

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910278

William Yaputra Budiman, H. Tjandrasa, D. A. Navastara

{"title":"Classification of EEG signals using Common Spatial Pattern-Principle Component Analysis and Interval Type-2 Fuzzy Logic System","authors":"William Yaputra Budiman, H. Tjandrasa, D. A. Navastara","doi":"10.1109/ICTS.2016.7910278","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910278","url":null,"abstract":"Brain Computer Interface, defined as a direct communication pathway between human brain and computer, allows a system to get the intention of the brain via Electroencephalogram (EEG) signals. This mechanism thus does not involve the participation of motoric and muscular neurons. In recent progresses, things such as the variability of imagery activities and subject characteristics were found to be the main problems toward the development of reliable signal translation methods. In this paper, we propose an EEG signal translation system based on motoric imagery activities. The system includes band-pass filter and Common Spatial Pattern (CSP) for noise filtering and Principle Component Analysis (PCA) for feature extraction. Interval Type-2 Fuzzy Logic System is then used as the classifier for the produced features. The later identified classes, either 0 or 1, refer to the imagery cursor movement direction either upward or downward respectively. The training and testing data that used here are from BCI Competition II dataset 1a. The highest classification accuracy of the system was recorded at 85.2%.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126957481","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

Early detection study of Kidney Organ Complication caused by Diabetes Mellitus using iris image color constancy 应用虹膜图像颜色恒常性早期检测糖尿病肾器官并发症的研究

2016 International Conference on Information & Communication Technology and Systems (ICTS) Pub Date : 1900-01-01 DOI: 10.1109/ICTS.2016.7910289

Agus Hadi Prayitno, A. Wibawa, M. Purnomo

{"title":"Early detection study of Kidney Organ Complication caused by Diabetes Mellitus using iris image color constancy","authors":"Agus Hadi Prayitno, A. Wibawa, M. Purnomo","doi":"10.1109/ICTS.2016.7910289","DOIUrl":"https://doi.org/10.1109/ICTS.2016.7910289","url":null,"abstract":"Diabetes Mellitus is now becoming a mass silent killer in the society because it does not show any signs previously to the patients until it has been in the dangerous level. Most people just realize their diabetic condition when the stage was already too late. In many cases, Diabetes Mellitus causes many complications to other organs, such as kidney, cardiovascular, liver or blood pressure. This study is analyzing the early stage of kidney complication caused by Diabetes Mellitus by analyzing iris image of the patient. Nowadays, there have been several tools that can be used to analyze the condition of patient kidney including blood test. However, a new approach is needed for a faster, simpler and non-invasive detection system. Iridology is a new branch of science that studying the condition of human organ via iris image. Based on Iridology, the structures of iris fibers are relating to the condition of certain organ in human body. This study is exploring the relationship of Kidney organ complication with the iris fibers structures (image of iris) and validated the result with patient's medical records. An existing iris chart introduced by Bernard Jensen was used to analyze the Kidney organ condition. The location of kidney organ in iris is at 200° – 210° when image of iris was devided by 360°. Image of iris was taken by using a specific iris camera. Region of interest (ROI) was then determined by using the iris chart. Color constancy and independent component analysis were used to analize the ROI of iris image. Broken tissue in iris image would be the feature for detecting the complication of kidney organ. From 47 participants, the result showed that 76% of participants showing a relation of kidney' complication with their iris image. This result conclude that iris image analysis can be used as an alternative way in monitoring the condition of internal organ such as kidney's complication.","PeriodicalId":177275,"journal":{"name":"2016 International Conference on Information & Communication Technology and Systems (ICTS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116111168","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: 11