2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)最新文献_第5页

Graphical representation of the whole sequentially MRI images in a single view image sequences of human's whole head 在人类整个头部的单视图图像序列中，整个顺序MRI图像的图形表示

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025941

Varin Chouvatut, E. Boonchieng

{"title":"Graphical representation of the whole sequentially MRI images in a single view image sequences of human's whole head","authors":"Varin Chouvatut, E. Boonchieng","doi":"10.1109/JCSSE.2017.8025941","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025941","url":null,"abstract":"Typically, a sequence of the Magnetic Resonance Imaging (MRI) images is composed of a certain number of images projecting some internal organs of a human, such as brain and eyeballs of the human's head, which is the case chosen for our demonstration. Each of MRI images in the sequence presents only a thin layer of the whole head. The image processing techniques proposed in this paper aims to allow all such sequential images to be visible through a single view. In other words, the whole head of a human can be visible in just one image and thus looks as a three-dimensional view of the head. Unfortunately, there may be some deviation in positions even between contiguous images in the sequence. Centroid of the human's head appeared in each image should be measured. To ensure a centroid's position is estimated well enough so that centroids of all sequential images are not so much deviated from each other, searching for the centroid of a human's whole head is done based on an approximate convex shape rather than a circular shape as usual. From our experimental results, there is no significant deviation of centroids between contiguous frames as expected.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"83 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":"79362870","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

Cache replacement mechanism with Content Popularity for Vehicular Content-Centric Networks (VCCN) 车载内容中心网络(VCCN)中具有内容流行度的缓存替换机制

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025901

Sangduan Chootong, Jirawat Thaenthong

引用次数: 5

Burn in Zone: Real time Heart Rate monitoring for physical activity 烧伤区:实时心率监测的身体活动

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025953

Sakchai Muangsrinoon, P. Boonbrahm

{"title":"Burn in Zone: Real time Heart Rate monitoring for physical activity","authors":"Sakchai Muangsrinoon, P. Boonbrahm","doi":"10.1109/JCSSE.2017.8025953","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025953","url":null,"abstract":"The number of time that heart beats per one minute we call it as the heart rate or pulse. It is an indicator for monitoring health. In this paper, we present the Burn in Zone: Physical activity real-time heart rate monitoring, a novel model to help people who prefer to have a more physical activity to continue their intention in the long term. We were mainly interested in real-time heart rate monitoring and target heart rate zone, not its ability to change behavior. This model will help those people to monitor their heart rate while having physical activity in line with their target heart rate or training heart rate (THR). THR is the desired range of heart rate reached during physical activity. It is calculated from the percentage of the physical activity intensity (PAI) multiply with Maximum Heart Rate (MHR), the highest heart rate of each person can work efficiently and safely without severe problems through exercise stress. In this research, we developed an android wear application for getting a real-time pulse from the heart sensor in Android Smart Watch. We had collected data from undergraduate and graduate students from the School of Informatics, Walailak University, who volunteer to be part of this experiment. There are twenty-six volunteers with age ranges from nineteen to forty-two-year-olds. Among the volunteers, there are twelve males (46.15%) and fourteen females (53.85%). We separated the samples into two groups, controlled group and experimental group. The experimental criteria are cycling on a stationary bicycle with six minutes for each people. Results from the experiment showed that the percentage of heart rate of the controlled group and the experimental group were consistent with the experimental setup criteria for monitoring the heart rate data on Android wear. For future work, we plan to implement the game design elements to encourage the people to have more level of physical activity and continue their physical activity.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"126 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":"87854128","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

Two factor image-based password authentication for junior high school students 基于双因素图像的初中生密码认证

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025913

Niramai Cherdmuangpak, Tanapat Anusas-Amornkul, B. Limthanmaphon

引用次数: 4

A linear discriminant analysis using weighted local structure information 基于加权局部结构信息的线性判别分析

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025907

Raywut Ketsuwan, P. Padungweang

引用次数: 1

Brain tumor's approximate correspondence and area with interior holes filled 脑瘤的近似对应和面积与内部孔洞填充

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025957

Varin Chouvatut, E. Boonchieng

{"title":"Brain tumor's approximate correspondence and area with interior holes filled","authors":"Varin Chouvatut, E. Boonchieng","doi":"10.1109/JCSSE.2017.8025957","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025957","url":null,"abstract":"Measuring area of tumor in human's brain from only single image may provide incorrect information for further diagnosis. Generally, a doctor or an expert must examine a brain tumor from several sequential MRI images to conclude its size or the severity level of patient's illness. To imitate the way a doctor diagnosing such case in a real situation, some digital image processing techniques are proposed and applied in order to provide support for a tentative or an initial analysis to the doctor. Thus, correspondence of appearances of a tumor presented in all MRI images should be linked and considered. In image processing, a closed area can be seen as an object and based on the similarity of its interior shadings, the object's centroid can be estimated. Unfortunately, although an object's centroid may be calculated even there exists slightly different shadings which are still considered as having similarity inside the closed shape of the object, only a small hole can cause deviation of computed centroid from its expected position. Since the typical thresholding techniques still leave a hole whose area has a certain amount of different shading from the major shading of the object's area. Thus, we proposed a number of image processing techniques for the purpose of tumor area approximation. Moreover, the proposed methods include a correspondence technique would also support multiple-object detection and linking centroids of the same object, which is a brain tumor in this case, presented in a pair of contiguous images.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"36 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":"85487914","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

Workflow simulation based on cloud platform for office automation system 基于云平台的办公自动化系统工作流仿真

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025947

Kanittha Promsakul, S. Limsiroratana

引用次数: 3

Improved least-squares quadratic mutual information clustering via Laplacian Eigenmap 基于拉普拉斯特征映射的改进最小二乘二次互信息聚类

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025928

J. Sainui

引用次数: 0

A robust algorithm for R peak detection based on optimal Discrete Wavelet Transform 基于最优离散小波变换的鲁棒R峰值检测算法

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025931

Anurak Thungtong

{"title":"A robust algorithm for R peak detection based on optimal Discrete Wavelet Transform","authors":"Anurak Thungtong","doi":"10.1109/JCSSE.2017.8025931","DOIUrl":"https://doi.org/10.1109/JCSSE.2017.8025931","url":null,"abstract":"Automated ECG signal processing can assist in diagnosing several heart diseases. Many R peak detection methods have been studied because the accuracy of R peak detection significantly affects the quality of subsequent ECG feature extraction. Two important steps in R peak detection algorithm that draw attention over researchers are the preprocessing and thresholding stages. Among several methods, wavelet transform is a widely used method for removing noise in the preprocessing stage. Various proposed algorithms require prior knowledge of frequency spectrum of the signal under consideration in order to select the wavelet detail coefficients in the reconstruction process. Moreover, parameter fine tuning is generally involved in threshold selection to accomplish high detection accuracy. As a result, it may be difficult to utilize these methods for general ECG data sets. Accordingly, we propose an automatic and parameter free method that optimally selects the appropriate detail components for wavelet reconstruction as well as the adaptive threshold. The proposed algorithm employs the analysis of probability density function of the processed ECG signal. The validation of the algorithm was performed over the MIT-BIH database and has produced an average sensitivity of 99.63% and specificity of 99.78% which is in the same range as the previously proposed approaches.","PeriodicalId":6460,"journal":{"name":"2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE)","volume":"18 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":"73620870","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

Separation of occluded leaves using direction field 利用方向场分离被遮挡的叶片

2017 14th International Joint Conference on Computer Science and Software Engineering (JCSSE) Pub Date : 2017-07-01 DOI: 10.1109/JCSSE.2017.8025929

Nicha Piemkaroonwong, U. Watchareeruetai

引用次数: 0