2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献_第6页

Modeling realistic virtual pulse of radial artery pressure waveform using haptic interface 基于触觉界面的真实虚拟脉冲桡动脉压力波形建模

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025954

Moragot Kandee, P. Boonbrahm, Valla Tantayotai

引用次数: 1

Automatic microaneurysm detection using Multi-level Threshold based on ISODATA 基于ISODATA的多级阈值自动微动脉瘤检测

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025958

Tanin Intaramanee, Ratanak Khoeun, K. Chinnasarn

{"title":"Automatic microaneurysm detection using Multi-level Threshold based on ISODATA","authors":"Tanin Intaramanee, Ratanak Khoeun, K. Chinnasarn","doi":"10.1109/JCSSE.2017.8025958","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025958","url":null,"abstract":"Diabetic Retinopathy is one of the most serious diseases that can lead to blindness. The small swelling blood regions or microaneurysms are the early sign of Diabetic Retinopathy. Detecting that a patient has got the Diabetic Retinopathy at the earliest stage as possible can help to prevent him/her from the vision lost. However, automatic microaneurysm detection is still a challenging topic for medical image processing researchers. This is because of the varieties of microaneurysm characteristic such as size, contrast, shape, and data distribution. In this paper, we propose an approach to automatically detect microaneurysms using Multi-level Threshold based on ISODATA. The proposed method consists of two main steps: 1) preprocessing and 2) feature extraction. In the preprocessing step, Contrast Limited Adaptive Histogram Equalization, Gaussian Filter and Median Filter are applied to enhance the image quality. Next, in the feature extraction step, Multi-level Threshold based on ISODATA and Noise Removing Techniques are adopted to remove non-microaneurysm objects. The 89 retinal fundus images from a public database DIARETDB1 are used as a dataset. By comparing with the ground truth, the proposed approach provides the reasonable results with sensitivity of 62.82%, specificity of 93.60% and accuracy of 93.43%.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"144 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77407455","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

Evaluate different machine learning techniques for classifying sleep stages on single-channel EEG 评估不同机器学习技术在单通道脑电图上的睡眠阶段分类

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025949

Shahnawaz Qureshi, S. Vanichayobon

引用次数: 9

Distributed consensus-based Sybil nodes detection in VANETs VANETs中基于共识的Sybil节点检测

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025908

Chea Sowattana, Wantanee Viriyasitavat, A. Khurat

{"title":"Distributed consensus-based Sybil nodes detection in VANETs","authors":"Chea Sowattana, Wantanee Viriyasitavat, A. Khurat","doi":"10.1109/JCSSE.2017.8025908","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025908","url":null,"abstract":"Vehicular Ad-hoc Networks (VANETs) is a research area focusing on improving road safety and traffic management. However, VANETs are still vulnerable to different kind of security attacks due to its infrastructure-less networking. Sybil Attack is a well-known attack in VANET. It forges multiple nodes with different identities to broadcast fake messages to manipulate the road traffic and information. In this paper, we propose a distributed detection mechanism using the neighborhood information. In our approach, a node is considered as a Sybil node if its position is inside the intersected area of two communication nodes, but it does not acknowledge by one of them. Each vehicle exchanges the information of their neighbors periodically via beacon message. The received neighbor information, from each neighbor, will be used to vote on each of the receiver node's neighbor whether they are Sybil. Simulation on different test cases are performed to observe the performance of our algorithm in term of its detection rate and false positive rate. The result depicts the increase of detection rate in the scenario where the number of surrounding neighbors is high.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"30 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84199587","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

A semantic approach for question answering using DBpedia and WordNet 使用DBpedia和WordNet进行问题回答的语义方法

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025918

Kittiphong Sengloiluean, N. Arch-int, S. Arch-int, Theerayut Thongkrau

{"title":"A semantic approach for question answering using DBpedia and WordNet","authors":"Kittiphong Sengloiluean, N. Arch-int, S. Arch-int, Theerayut Thongkrau","doi":"10.1109/JCSSE.2017.8025918","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025918","url":null,"abstract":"Semantic Question Answering (SQA) was concerned about the natural language processing. The purpose of this study was to help facilitate the users to access the information through the natural language and to obtain the concise and needed information. As considered the current studies, it was found that this processing still encountered the problems of flexibility and accuracy, particularly those of the question processing, which was a very important processing for developing question answering system. Thus, this study proposed a semantic approach for question answering using DBpedia and WordNet. For this paper, the techniques for solving the problems were proposed consisting of (1) extracting named entities from the question and solving the problems of similarities of named entities, (2) extracting properties from the question and solving the problems of similarities of properties, and (3) evaluating the accurate capability of the answer of question. This approach evaluated the test dataset from TREC question collections, DBpedia and achieved an F-measure score of 93.43%, an average precision of 92.73%, and an average recall of 94.15% over 500 questions.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"10 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89119296","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

The classification of sets of medical procedures used in the treatment of Diabetes and/or Hypertension 用于治疗糖尿病和/或高血压的医疗程序的分类

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025939

Kanokwan Rungreangsuparat, S. Kitisin, K. Sripanidkulchai

引用次数: 0

Extracting UML class diagrams from software requirements in Thai using NLP 使用NLP从泰语软件需求中提取UML类图

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025938

Mathawan Jaiwai, Usa Sammapun

{"title":"Extracting UML class diagrams from software requirements in Thai using NLP","authors":"Mathawan Jaiwai, Usa Sammapun","doi":"10.1109/JCSSE.2017.8025938","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025938","url":null,"abstract":"In software development, requirements, normally written in natural language, are documents that specify what users want in software products. Software developers then analyze these requirements to create domain models represented in UML diagrams in an attempt to comprehend what users need in the software products. These domain models are usually converted into design models and finally carried over into classes in source code. Thus, domain models have an impact on the final software products. However, creating correct domain models can be difficult when software developers are not skilled. Moreover, even for skilled developers, when requirements are large, wading through all requirements to create domain models can take times and might result in errors. Therefore, researchers have studied various approaches to apply natural language processing techniques to transform requirements written in natural language into UML diagrams. Those researches focus on requirements written in English. This paper proposes an approach to process requirements written in Thai to extract UML class diagrams using natural language processing techniques. The UML class diagram extraction is based on transformation rules that identify classes and attributes from requirements. The results are evaluated with recall and precision using truth values created by humans. Future works include identifying operations and relationships from requirements to complete class diagram extraction. Our research should benefit Thai software developers by reducing time in requirement analysis and also helping novice software developers to create correct domain models represented in UML class diagram.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"15 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89596192","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

Vertebral pose segmentation on low radiation image using Convergence Gravity Force 基于汇聚重力的低辐射图像椎体位姿分割

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025959

Jakapong Boonyai, Suwanna Rasmequan

{"title":"Vertebral pose segmentation on low radiation image using Convergence Gravity Force","authors":"Jakapong Boonyai, Suwanna Rasmequan","doi":"10.1109/JCSSE.2017.8025959","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025959","url":null,"abstract":"Vertebral pose segmentation is an important factor in diagnosing diseases such as osteoporosis, osteopenia and scoliosis. Low radiation X-ray images are often used to diagnose such diseases. This has been done to reduce patients risk exposure of over dose radiation which may cause from a series of treatments. In this respect, it led to a low accuracy in vertebral pose detection. In this paper, we proposed to improve the automate segmentation of low quality image of vertebral pose with a more generalized technique. In the proposed method, there are three main steps. Firstly, in the pre-processing step, Auto Cropped, Multi-Threshold and Canny Edge Detection are applied to find the vertebral bone structure from the original image. Secondly, Feature Analysis and Gravity Force were used to find the region of interest or the area of each pose. Finally, Colormaps, Intensity Diagnosis and Angle Analysis are adopted to segment each vertebral pose from candidate areas retrieved from second step. The experimental results which were compared with ground truth shown that the proposed approach can estimate vertebral pose with Precision at 79.61% and Recall at 77.11%.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87688592","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 performance comparison of Apache Tez and MapReduce with data compression on Hadoop cluster Apache Tez和MapReduce在Hadoop集群上数据压缩的性能比较

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025950

Kritwara Rattanaopas

{"title":"A performance comparison of Apache Tez and MapReduce with data compression on Hadoop cluster","authors":"Kritwara Rattanaopas","doi":"10.1109/JCSSE.2017.8025950","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025950","url":null,"abstract":"Big data is a popular topic on cloud computing research. The main characteristics of big data are volume, velocity and variety. These characteristics are difficult to handle by using traditional softwares and methods. Hadoop is open-source framework software which was developed to provide solutions for handling several domains of big data problems. For big data analytic, MapReduce framework is a main engine of Hadoop cluster and widely used nowadays. It uses a batch oriented processing. Apache also developed an alternative engine called “Tez”. It supports an interactive query and does not write temporary data into HDFS. In this paper, we focus on the performance comparison between MapReduce and Tez. We also investigate the performance of these two engines with the compression of input files and map output files. Bzip is a compression algorithm used for input files and snappy is used for map output files. Word-count and terasort benchmarks are used in our experiments. For the word-count benchmark, the results show that Tez engine always has better execution-time than MapReduce engine for both of compressed data or non-compressed data. It can reduce an execution-time up to 39% comparing with the execution time of MapReduce engine. In contrast, the results show that Tez engine usually has higher execution-time than MapReduce engine up to 13% for terasort benchmark. The results also show that the performance of compressing map output files with snappy provides better performance on execution time for both benchmarks.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"42 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90120331","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

Strabismus screening by Eye Tracker and games 眼动仪和游戏的斜视筛查

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025956

Udomchai Saisara, P. Boonbrahm, Achara Chaiwiriya

引用次数: 7