2014 IEEE International Symposium on Independent Computing (ISIC)最新文献

Exercise prescription formulating scheme based on a two-layer K-means classifier 基于两层k均值分类器的运动处方配方方案

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011760

Shyr-Shen Yu, C. Chiu, Chia-Chi Liu, Y. Chan, M. Tsai

{"title":"Exercise prescription formulating scheme based on a two-layer K-means classifier","authors":"Shyr-Shen Yu, C. Chiu, Chia-Chi Liu, Y. Chan, M. Tsai","doi":"10.1109/INDCOMP.2014.7011760","DOIUrl":"https://doi.org/10.1109/INDCOMP.2014.7011760","url":null,"abstract":"An excersice prescription is a professionally designed excersice plan for improving one's health according to the results of his health-related physical fitness (HRPF) tests. Traditionally, an excersice prescription is formulated by manually checking the norm-referenced chart of HRPF; however, it is time consuming and a highly specialized and experienced expert on health-related physical fitness testing is needed to formulate this prescription. To solve above problems, it is necessary to develope an automatic excersice prescription formulating scheme for categorizing the measured data of HRPF tests and then assign the best appopriate excersice prescription for each class. In this study, a two-layer classifier, integrating the techiques of K-means clustering algorithm and genetic algorithm, is hence propsed to classify the measured data of HRPF tests and provide the best appopriate excersice prescription for each class. When the data variance within one class is very large, the centroid of the class cannot effectively represent each datum in the class. The two-layer classifier therefore partitions each class into several clusters (subclasses) and then classifiy the measured data of HRPF tests into clusters. In this study, a genetic algorithm is provided to determine the number of clusters, which each class should be separated into, and the best suitable values of the parameters used in the two-layer classifier. The experimental results demonstrate that the two-layer classifier can effectively and efficiently classify the measured data of HRPF tests and design excersice plan.","PeriodicalId":246465,"journal":{"name":"2014 IEEE International Symposium on Independent Computing (ISIC)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122674057","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

The development of a multi-piecewise-based thinning description method 提出了一种基于多分段的细化描述方法

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011750

Wen-Chang Cheng

{"title":"The development of a multi-piecewise-based thinning description method","authors":"Wen-Chang Cheng","doi":"10.1109/INDCOMP.2014.7011750","DOIUrl":"https://doi.org/10.1109/INDCOMP.2014.7011750","url":null,"abstract":"In this study, we proposed a multi-piecewise thinning description method. Thinning is a preprocessing technology often applied in the fields of binary image processing; it is used to transform thick elements in an image into lines with a single pixel width. Because lines include closed and open lines, an effective description method is required for post-processing procedures. Regarding the proposed method, branch points of thinning lines are first identified and used as a basis for segmenting the lines, which are originally connected, into multiple line segments. Subsequently, we employed the find contour function available in the OpenCV library to describe the coordinates of the contours of the line segments. The starting and endpoints of closed lines can be directly obtained using the contour results of closed lines. By contrast, the starting and endpoints of open lines are achieved by first using turning points to confirm the position of line-end points and employing the adjacent pixels of the line-end and branch points before the contour results of open lines can be used. The experimental results indicated that the proposed method effectively achieved accurate descriptions for thinned lines.","PeriodicalId":246465,"journal":{"name":"2014 IEEE International Symposium on Independent Computing (ISIC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114427362","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

Verification of an image morphing based technology for improving the security in cloud storage services 基于图像变形的云存储服务安全性改进技术验证

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011746

Ryota Hanyu, Kazuki Murakami, Qiangfu Zhao

引用次数: 1

A TAIEX forecasting model based on changes of keyword search volume on Google Trends 基于Google趋势关键词搜索量变化的TAIEX预测模型

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011756

Min-Hsuan Fan, En-Chih Liao, Mu-Yen Chen

引用次数: 4

A model for estimating SCM audit effort with key characteristic sensitivity analysis 基于关键特征敏感性分析的供应链管理审核工作量估算模型

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011741

John M. Medellin

引用次数: 0

Social network based smart grids analysis 基于社会网络的智能电网分析

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011743

Joseph C. Tsai, N. Yen, Takafumi Hayashi

引用次数: 8

Adaptive fast image dehazing algorithm 自适应快速图像去雾算法

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011755

C. Hsieh, Chih-Tsung Chen, Yu-sheng Lin

引用次数: 2

Development of a control system for home appliances based on BLE technique 基于BLE技术的家用电器控制系统的开发

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011751

Hideki Matsuoka, Junbo Wang, Lei Jing, Yinghui Zhou, Yilang Wu, Zixue Cheng

{"title":"Development of a control system for home appliances based on BLE technique","authors":"Hideki Matsuoka, Junbo Wang, Lei Jing, Yinghui Zhou, Yilang Wu, Zixue Cheng","doi":"10.1109/INDCOMP.2014.7011751","DOIUrl":"https://doi.org/10.1109/INDCOMP.2014.7011751","url":null,"abstract":"Recently, in Internet of Things field, cooperation between smartphone and home appliances becomes important and popular. Especially, smart phones equipped with Bluetooth4.0 can reduce the power consumption, increase connectable devices, and promote the cooperation between things and smart terminals. Currently, many smartphone-based control system for home appliances have appeared by combining 3G and Wi-Fi technology. However, the problem of using Wi-Fi is big power consumption, and difficult for minimization. In addition, some methods adopt Infrared in smartphone to control appliances. But many smartphones have no Infrared ready, and have to set up many processes to use. Compared with the above approaches, BLE can resolve those problems. BLE has the advantages of low-power consumption, minimization, and ready reminding service. In this paper, we develop a smartphone-based appliance control system based on BLE. The system has a dynamic control menu that can scan any appliance around a user at anywhere. Meanwhile, we develop a device named “Middle-Device” for the communication between smartphone and appliances using Arduino, because Arduino is popular, easy to be used for hardware programming, and better extensibility by attaching a function board called “Shield” with many functions such as Wi-Fi, ZigBee, Bluetooth, and etc.","PeriodicalId":246465,"journal":{"name":"2014 IEEE International Symposium on Independent Computing (ISIC)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132289864","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

A concept model of ‘two-ties-aware’ and design of a discovery engine based on user experienced Bigdata 基于用户体验大数据的“两线感知”概念模型和发现引擎设计

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011749

Junbo Wang, Yilang Wu, Zixue Cheng

{"title":"A concept model of ‘two-ties-aware’ and design of a discovery engine based on user experienced Bigdata","authors":"Junbo Wang, Yilang Wu, Zixue Cheng","doi":"10.1109/INDCOMP.2014.7011749","DOIUrl":"https://doi.org/10.1109/INDCOMP.2014.7011749","url":null,"abstract":"IoT/Bigdata is a hot research topic all over the world in recent years and is expecting to change the world greatly in the near future. Comparing with the data in traditional websites, Bigdata from IoT devices have 4 big V-features, i.e., volume, velocity, variety, and veracity. Due to the above four features, it is hard to provide timely services to users by data analysis, especially with the great growth of data types, volume and so on. Data should be able to aware situations/demands of users, and automatically be adjusted for discovering the situations/demands of users'. Therefore, in this paper, we propose a two-ties-aware mechanism for Bigdata management and analysis. The first-tie-aware is to automatically grasp the situations around the user, and encapsulate the situation together when data is generated. The second-tie-aware is to automatically change the data to fit users' situations/demands. Furthermore, we propose a novel discovery algorithm based on the two-tiles-aware model. Given the user inputs from their ambiguous memory fragments, the discovery algorithm tries to discover the truly wanted information. Currently, the system is going to be implemented based on some open sources.","PeriodicalId":246465,"journal":{"name":"2014 IEEE International Symposium on Independent Computing (ISIC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130968337","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

Improving performance of decision boundary making with support vector machine based outlier detection 基于支持向量机的离群点检测改进决策边界的性能

2014 IEEE International Symposium on Independent Computing (ISIC) Pub Date : 2014-12-01 DOI: 10.1109/INDCOMP.2014.7011745

Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu

{"title":"Improving performance of decision boundary making with support vector machine based outlier detection","authors":"Yuya Kaneda, Yan Pei, Qiangfu Zhao, Yong Liu","doi":"10.1109/INDCOMP.2014.7011745","DOIUrl":"https://doi.org/10.1109/INDCOMP.2014.7011745","url":null,"abstract":"Outlier detection is a method to improve performances of machine learning models. In this paper, we use an outlier detection method to improve the performance of our proposed algorithm called decision boundary making (DBM). The primary objective of DBM algorithm is to induce compact and high performance machine learning models. To obtain this model, the DBM reconstructs the performance of support vector machine (SVM) on a simple multilayer perceptron (MLP). If machine learning model has compact and high performance, we can implement the model into mobile application and improve usability of mobile devices, such as smart phones, smart tablets, etc. In our previous research, we obtained high performance and compact models by DBM. However in few cases, the performances are not well. We attempt to use a SVM-based outlier detection method to improve the performance in this paper. We define outlier using the method, and remove these outliers from training data that is generated by DBM algorithm. To avoid deleting normal data, we set a parameter δoutlier, which is used to control the boundary for deciding outlier point. Experimental results using public databases show the performance of DBM without outliers is improved. We investigate and discuss the effectiveness of parameter δoutlier as well.","PeriodicalId":246465,"journal":{"name":"2014 IEEE International Symposium on Independent Computing (ISIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114753766","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