2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)最新文献_第3页

Development of travel speed detection method in welding simulator using augmented reality 基于增强现实技术的焊接模拟器行走速度检测方法的开发

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415194

A. Baskoro, Irwan Haryanto

{"title":"Development of travel speed detection method in welding simulator using augmented reality","authors":"A. Baskoro, Irwan Haryanto","doi":"10.1109/ICACSIS.2015.7415194","DOIUrl":"https://doi.org/10.1109/ICACSIS.2015.7415194","url":null,"abstract":"This paper explains about travel speed detection method that can be applied as the welding simulator using augmented reality. In welding process, the travel speed is an important parameter that influences the welding quality. In the future, this simulator can be used in welder training with a relatively low cost. This method uses ARToolkit, OpenGL library, and Autodesk 3Ds Max software for building the simulator. This method is the development of welding simulator that will show the deviation and accuracy of moving marker detection. This method uses differences in distance of the coordinate per unit time algorithm, taken from the amount of frames per second (FPS) of a camera. After this method was successfully built, the measurement data is taken to analyze the accuracy and the number of error in speed detection by the simulator from the actual speed with different light intensity parameter. The result is that the error in speed detection is not too large, so this simulator was successfully built and it can be developed further to get more sophisticated features on welding process in the future.","PeriodicalId":325539,"journal":{"name":"2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831618","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

Landmark analysis of leaf shape using dynamic threshold polygonal approximation 基于动态阈值多边形逼近的叶片形状特征分析

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415156

W. W. Kalengkongan, B. P. Silalahi, Y. Herdiyeni, S. Douady

引用次数: 2

Clustering protein-protein interaction network of TP53 tumor suppressor protein using Markov clustering algorithm 基于马尔可夫聚类算法的TP53肿瘤抑制蛋白聚类蛋白相互作用网络

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415177

Thia Sabel Permata, A. Bustamam

{"title":"Clustering protein-protein interaction network of TP53 tumor suppressor protein using Markov clustering algorithm","authors":"Thia Sabel Permata, A. Bustamam","doi":"10.1109/ICACSIS.2015.7415177","DOIUrl":"https://doi.org/10.1109/ICACSIS.2015.7415177","url":null,"abstract":"The formation and proliferation of tumor cells occurs if a special protein that regulates cell division experience any changing on their function, gene expression or both of them. One of the tumor suppressor proteins that plays a significant role in controlling the cell cycle is the TP53 protein. In most of the genetic changes in the tumor, it found that mutant of TP53 is a high risk factor for cancer. Therefore, it is important to conduct studies on clustering protein-protein interactions (PPI) network of TP53. PPI networks are generally presented in the graph network with proteins as vertices and interactions as edges. Markov clustering (MCL) algorithm is a graph clustering method which based on a simulation of stochastic flow on a graph. In implementation, we applied MCL process using the Python programming language. The clustering datasets are the PPI of TP53 obtained from the STRING database. MCL algorithm consists of three main operations such as expansion, inflation, and prune. We conduct the clustering simulation using different parameter of expansion, inflation and the multiplier factor of identity matrix. As the results we found the MCL algorithm is proven to produce robust cluster with TP53 protein as a centroid for each clustering results.","PeriodicalId":325539,"journal":{"name":"2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132041412","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: 15

Tandem repeats analysis in DNA sequences based on improved Burrows-Wheeler transform 基于改进Burrows-Wheeler变换的DNA序列串联重复序列分析

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415159

P. Ochieng, Taufik Djatna, W. Kusuma

{"title":"Tandem repeats analysis in DNA sequences based on improved Burrows-Wheeler transform","authors":"P. Ochieng, Taufik Djatna, W. Kusuma","doi":"10.1109/ICACSIS.2015.7415159","DOIUrl":"https://doi.org/10.1109/ICACSIS.2015.7415159","url":null,"abstract":"The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including Mapping and Assembly with Quality (MAQ), which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Therefore, we carried out an in-depth performance analysis of BWA a popular BWT-based aligner and discovered that its performance is significantly better than MAQ although, it has drawbacks regarding execution speed, time complexity and accuracy. Based on those factors we implemented an improved Burrows-Wheeler Alignment algorithm (BWA), anew read alignment package which is original BWT optimized by source code of Ziv-Lempel (LZ-77) sliding window technique and prefix trie string matching, to efficiently search for inexact and exact matches on tandem repeats against a large reference sequence genome. Our analysis show that search speed of improved BWA significantly increased by approximately 1.40 ×faster than MAQ-32 while achieving sufficiently higher accuracy with percent confidence of 96.7 % and 93.0 %. Moreover, it is more efficient to search exact and inexact matches supported by percent error of 0.05 % single ends and 0.04 % for paired end reads also more effective to search for left and right overlap tandem repeat at percent confidence of 88.9%.","PeriodicalId":325539,"journal":{"name":"2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134344073","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

Advanced targets association based on GPU computation of PHD function 基于GPU计算的PHD函数高级目标关联

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415197

J. Pidanic, T. Shejbal, Z. Nemec, H. Suhartanto

引用次数: 7

Combination of singular value decomposition and K-means clustering methods for topic detection on Twitter 奇异值分解与k均值聚类相结合的Twitter话题检测方法

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415168

Khumaisa Nur'Aini, Ibtisami Najahaty, Lina Hidayati, H. Murfi, S. Nurrohmah

引用次数: 44

Periodic update and automatic extraction of web data for creating a Google Earth based tool 定期更新和自动提取web数据，用于创建基于谷歌地球的工具

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415157

T. Abidin, M. Subianto, T. A. Gani, R. Ferdhiana

{"title":"Periodic update and automatic extraction of web data for creating a Google Earth based tool","authors":"T. Abidin, M. Subianto, T. A. Gani, R. Ferdhiana","doi":"10.1109/ICACSIS.2015.7415157","DOIUrl":"https://doi.org/10.1109/ICACSIS.2015.7415157","url":null,"abstract":"A lot of tropical disease cases that occurred in Indonesia are reported online in Indonesian news portals. Online news portals are now becoming great sources of information because online news articles are updated frequently. A rule-based, combined with machine learning algorithm, to identify the location of the cases has been developed. In this paper, a complete flow to routinely search, crawl, clean, classify, extract, and integrate the extracted entities into Google Earth is presented. The algorithm is started by searching for Indonesian news articles using a set of selected queries and Google Site Search API, and then crawling them. After the articles are crawled, they are cleaned and classified. The articles that discuss about tropical disease cases (classified as positive) are further examined to extract the locution of the incidence and to determine the sentences containing the date of occurrence and the number of casualties. The extracted entities are then stored in a relational database and annotated in an XML keyhole markup language notation to create a geographic visualization in Google Earth. The evaluation shows that it takes approximately 6 minutes to search, crawl, clean, classify, extract, and annotate the extracted entities into an XML keyhole markup language notation from 5 Web articles. In other words, it takes about 72.40 seconds to process a new page.","PeriodicalId":325539,"journal":{"name":"2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133408213","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

Knowledge representation system for copula sentence in Bahasa Indonesia based on Web Ontology Language (OWL) 基于Web本体语言(OWL)的印尼语联结句知识表示系统

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415173

D. E. Cahyani, R. Manurung, Rahmad Mahendra

{"title":"Knowledge representation system for copula sentence in Bahasa Indonesia based on Web Ontology Language (OWL)","authors":"D. E. Cahyani, R. Manurung, Rahmad Mahendra","doi":"10.1109/ICACSIS.2015.7415173","DOIUrl":"https://doi.org/10.1109/ICACSIS.2015.7415173","url":null,"abstract":"Now the knowledge source in natural language text are available in large quantities. There is an increasing need of knowledge representation, then it would require the knowledge processing on text automatically. The previous research has built on knowledge representation system of natural language text that is OWLizr. However, this study has not been able to handle the knowledge representation in concepts that describe a particular object. This paper developed a knowledge representation system in copula sentences containing concepts in Bahasa Indonesia. If the concept can be handled then the relationship between concepts with components of existing ontology can defined. This supports ontology engineering process that build domain ontology by enrich knowledge of the existing knowledge base. This system combine NLP (Natural Language Processing) techniques and OWL (Web Ontology Language) to model the knowledge contained in the copula sentence. The testing in this system is by unit testing and testing on collection of sentences which adapted from Wikipedia. The results of this research are system can represent knowledge in copula sentences containing concepts in Bahasa Indonesia. The system can generate output in OWL knowledge base that can share and reuse for other systems.","PeriodicalId":325539,"journal":{"name":"2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125654849","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

Sleep stages classification using shallow classifiers 使用浅分类器对睡眠阶段进行分类

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415162

Endang Purnama Giri, A. M. Arymurthy, M. I. Fanany, S. Wijaya

{"title":"Sleep stages classification using shallow classifiers","authors":"Endang Purnama Giri, A. M. Arymurthy, M. I. Fanany, S. Wijaya","doi":"10.1109/ICACSIS.2015.7415162","DOIUrl":"https://doi.org/10.1109/ICACSIS.2015.7415162","url":null,"abstract":"A person with sleep disorder such as apnea will stop breathing for a while during sleep. If frequently occurs, sleep disorder is dangerous for health. An early step for diagnosing apnea is by classifying the sleep stages during sleep. This study explores some shallow classifiers and their feasibility applied to sleep data. Recently, a sleep stages classification system that use deep unsupervised features learning representations have been proposed [9]. In our view, an adequate study on this problem using shallow classifiers still need to be investigated. This study, using some of the data on [9], focuses on evaluating some shallow classifier to the sleep stages classification problem. This study evaluates five classifiers: SVM, Neural Network, Classification Tree, k-Nearest Neighborhood (k-NN), and Naive Bayes. Experiment result shows that neural network gives best performance for sleep stage classification problem. Compared to the SVM (the 2-nd rank of accuracy on S000 data), the neural network is also more efficient than SVM in term of computational time and memory requirement.","PeriodicalId":325539,"journal":{"name":"2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125551314","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: 13

Children's and adults' schemes in categorization of basic objects and mobile applications 儿童和成人的基本对象和移动应用程序分类方案

2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2015-10-01 DOI: 10.1109/ICACSIS.2015.7415155

L. Punchoojit, Nuttanont Hongwarittorrn

{"title":"Children's and adults' schemes in categorization of basic objects and mobile applications","authors":"L. Punchoojit, Nuttanont Hongwarittorrn","doi":"10.1109/ICACSIS.2015.7415155","DOIUrl":"https://doi.org/10.1109/ICACSIS.2015.7415155","url":null,"abstract":"Diversity of users has become recent design concerns, and children are one of those user groups. Organization of contents is one of research areas in designing for children. Research suggests differences in abilities between adults and children; for instance, attention, logic and memory skills, and linguistic abilities. This is related to the way children navigate and access information. Efficient system organization must correspond with user's categorization scheme. Prior study suggests differences in the way children categorized objects than the predetermined categories; however, it did not provide a comparison between children and adults in the way they generated the categories. Moreover, influence of expertise on categorization schemes has been highlighted in psychological literature. Primary objective of this study was to investigate how children and adults utilize categorization schemes based on their domain expertise. This study was carried out under two different circumstances: 1) when the objects were concrete and both age groups were domain experts, and 2) when objects were more abstract and both age groups could be either novices or experts. Similarity and differences between adults and children were found. The results of both tasks showed indicated that categorization schemes employed by participants depends on the information they were exposed to.","PeriodicalId":325539,"journal":{"name":"2015 International Conference on Advanced Computer Science and Information Systems (ICACSIS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436781","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