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2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)最新文献

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Energy-Efficient Activity Recognition on Smartphone 智能手机节能活动识别
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.32
Wei Zheng, Yuri Yoshihara, Noel Tay, Dalai Tang, N. Kubota
{"title":"Energy-Efficient Activity Recognition on Smartphone","authors":"Wei Zheng, Yuri Yoshihara, Noel Tay, Dalai Tang, N. Kubota","doi":"10.1109/CMCSN.2016.32","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.32","url":null,"abstract":"In recent years, with the rapid development of smart phones, smart phones have become indispensable in our life. We can monitor human activities by the built-in sensors of the smartphone, and extract useful information for human services, such as human health, life log or assistance tips. In fact, this is a very low cost and efficient method. In previous research we have classified the walking style by Decision Tree. In order to recognize the activities more precisely and comprehensively, in this paper we used Decision Tree and SVM to learn the collected data on the smartphone, meanwhile considering the energy-efficiency problem around it.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883116","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
Cryptanalysis and Improvement of a Provable Data Possession Scheme in Public Cloud Storage 公共云存储中可证明数据占有方案的密码分析与改进
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.18
Tung-Tso Tsai, Yuh-Min Tseng, Ying-Hao Hung, Sen-Shan Huang
{"title":"Cryptanalysis and Improvement of a Provable Data Possession Scheme in Public Cloud Storage","authors":"Tung-Tso Tsai, Yuh-Min Tseng, Ying-Hao Hung, Sen-Shan Huang","doi":"10.1109/CMCSN.2016.18","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.18","url":null,"abstract":"For validating the data integrity in the cloud storage, several provable data possession (PDP) schemes have been proposed to concern with this issue. However, these schemes are either inefficient or insecure under some circumstances. In 2015, Ren et al. Proposed an efficient mutual verifiable PDP (MV-PDP) scheme with stateless property. In this article, we will show that their scheme cannot provide data integrity checking by presenting a universal forgery attack on the verification procedure. In addition, an improvement is proposed to resist this attack. Under the computational Diffie-Hellman (CDH) and discrete logarithm (DL) assumptions, we formally prove that the improved PDP scheme is secure against forgery attacks while achieving better performance than Ren et al.'s scheme.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116634236","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
Utilizing Cat Swarm Optimization in Allocating the Sink Node in the Wireless Sensor Network Environment 基于Cat群算法的无线传感器网络汇聚节点分配
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.56
Pei-wei Tsai, Lingping Kong, V. Snás̃el, Jeng-Shyang Pan, V. Istanda, Zhi-Yong Hu
{"title":"Utilizing Cat Swarm Optimization in Allocating the Sink Node in the Wireless Sensor Network Environment","authors":"Pei-wei Tsai, Lingping Kong, V. Snás̃el, Jeng-Shyang Pan, V. Istanda, Zhi-Yong Hu","doi":"10.1109/CMCSN.2016.56","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.56","url":null,"abstract":"A general wireless sensor network (WSN) is a system composed of a large number of sensor nodes. In the WSN system, all sensor nodes are responsible for sensing the interested events and transmitting the related information back to the sink node. The sink node acts like the brain of the whole WSN system for processing the collected data and giving control commands. The position of the sink node directly affects the data transmission efficiency and the distance from the terminal sensor node to the sink node. Thus, choosing the correct place to place the sink node in the whole network is a delicate work. In this paper, we propose a sink node placement method by proposing a newly designed object function and utilizing Cat Swarm Optimization (CSO) to find out the near best location for placing the sink node. The simulation results indicate that our proposed method presents good performance compared with the conventional Particle Swarm Optimization (PSO) algorithm in reducing the overall energy consumption and prolongs the lifetime of network in an efficient way.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116694121","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
Action Recognition System with the Microsoft KinectV2 Using a Hidden Markov Model 使用隐马尔可夫模型的微软KinectV2动作识别系统
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.49
Masato Fujino, Thi Thi Zin
{"title":"Action Recognition System with the Microsoft KinectV2 Using a Hidden Markov Model","authors":"Masato Fujino, Thi Thi Zin","doi":"10.1109/CMCSN.2016.49","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.49","url":null,"abstract":"This paper proposes the independent human action recognition for more practical use, using the depth image and the Joint Points from the Microsoft KinectV2. The threshold value not only for the binarization of the depth image but also for the others except for the circularity was chosen automatically. Moreover, the value of the background is not even value but some depth value. In my previous research, the background image was simple so that the foreground area could be easily extracted as the binary image from the depth image by the threshold value chosen automatically. The whole human silhouette is difficult to be get with the uneven background. This problem can be overcome by subtraction between the two depth information in the current image and the background image.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114680773","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
Automatic Music Genre Classification Based on Sparse Representation and Wavelet Packet Transform with Discrete Trigonometric Transform 基于稀疏表示和小波包变换与离散三角变换的音乐类型自动分类
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.20
Shih-Hao Chen, Sung-Yuan Ko, Shi-Huang Chen
{"title":"Automatic Music Genre Classification Based on Sparse Representation and Wavelet Packet Transform with Discrete Trigonometric Transform","authors":"Shih-Hao Chen, Sung-Yuan Ko, Shi-Huang Chen","doi":"10.1109/CMCSN.2016.20","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.20","url":null,"abstract":"In this paper, an effective music genre classification algorithm using sparse representation based classification (SRC) and wavelet packet transform (WPT) with discrete trigonometric transform (DTT) is developed for improving the classification performance. The first step of the proposed algorithm is to apply moving average filter and Butterworth low-pass filter to partly eliminate the effect of fluctuation in short-term signal. Then one can make use of SRC and WPT with DTT to accurately classify and increase classification performance. Sparse representation based classification has been widely used for music genre classification via the primal-dual algorithm for linear programming to search the most compact representation of the signal in the digital domain. To investigate its performance, the proposed method is validated by comparison with various discrete cosine transform types and classification methods. Various experimental results carried out one the ISMIR 2004 Genre dataset show that the proposed method can achieve higher classification accuracy than other music genre classification methods with the same experimental setup.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114707862","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
Active Magnetic Bearing System Using PID-surface Sliding Mode Control 基于pid -表面滑模控制的主动磁轴承系统
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.31
T. Su, Wen-Pin Kuo, Vannam Giap, H. Vu, Q. Nguyen
{"title":"Active Magnetic Bearing System Using PID-surface Sliding Mode Control","authors":"T. Su, Wen-Pin Kuo, Vannam Giap, H. Vu, Q. Nguyen","doi":"10.1109/CMCSN.2016.31","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.31","url":null,"abstract":"this paper proposes PID-surface sliding mode control (SMC) method for controlling active magnetic bearing system (AMB). AMBs are the typical electromagnetic products, which provide stable suspension for rotors. AMBs are used in a wide range of applications such as energy storage, high-speed-turbine applications, blood pumps, mixers, etc. AMBs can levitate rotor without mechanical contact, friction and lubrication. The AMBs employed in this paper have two four-pole bearings, whose distances can be controlled by using the current signal from the controller. The magnetic forces are generated by feedback loop control. The designation of PID-surface SMC reduces the chattering phenomenon in conventional SMC. The simulation results prove the high quality of the proposed control approach.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130407155","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: 6
Incremental Updates of Rough Set-Based Probabilistic Rules 基于粗糙集的概率规则的增量更新
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.53
S. Tsumoto, S. Hirano
{"title":"Incremental Updates of Rough Set-Based Probabilistic Rules","authors":"S. Tsumoto, S. Hirano","doi":"10.1109/CMCSN.2016.53","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.53","url":null,"abstract":"This paper proposes a new framework for rule induction methods based on rule layers constrained by inequalities of accuracy and coverage. Rule induction methods are combined with classification of elementary relations (i.e., One attribute-value pair) into four layers. The classification statistics reflects the characteristics of data and rule stabilities. The proposed method was evaluated on datasets regarding headaches and meningitis, and the results show that the proposed method not only outperforms the conventional method but also captures the characteristics of applied data.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117046376","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
Effect of Information System Co-construction Policy on Cultural Propaganda Oriented Government Website - The National Taiwan Symphony Orchestra as a Case Study 信息系统共建政策对文化宣传型政府网站的影响——以国立台湾交响乐团为例
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.12
C. Ho, Shu-Chin Wang, K. Yan, Shun-Sheng Wang
{"title":"Effect of Information System Co-construction Policy on Cultural Propaganda Oriented Government Website - The National Taiwan Symphony Orchestra as a Case Study","authors":"C. Ho, Shu-Chin Wang, K. Yan, Shun-Sheng Wang","doi":"10.1109/CMCSN.2016.12","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.12","url":null,"abstract":"The main purpose of information system consolidation is to avoid repetitive system development and to lighten the heavy burden of government financial expenditure so that resources can be shared and the overall operating costs can be reduced. This study takes the cultural propaganda oriented government website of the National Taiwan Symphony Orchestra as an example to explore the problems faced in the process of introducing information systems as well as their solutions. Information system consolidation can actually solve the problems of repetitive system development and inadequate resources sharing.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133406332","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 Rough Set Approach to Data Imputation and Its Application to a Dissolved Gas Analysis Dataset 基于粗糙集的数据输入方法及其在溶解气体分析数据集中的应用
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.48
J. Watada, Chen Shi, Y. Yabuuchi, R. Yusof, Zahriah Sahri
{"title":"A Rough Set Approach to Data Imputation and Its Application to a Dissolved Gas Analysis Dataset","authors":"J. Watada, Chen Shi, Y. Yabuuchi, R. Yusof, Zahriah Sahri","doi":"10.1109/CMCSN.2016.48","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.48","url":null,"abstract":"Missing values are a common occurrence in a number of real world databases, and various statistical methods have been developed to address this problem, which is referred to as missing data imputation. In the detection and prediction of incipient faults in power transformers using Dissolved Gas Analysis (DGA), the problem of missing values is influential and has resulted in inconclusive decision-making. Previous methods used for handling missing data (e.g., Deleting cases with incomplete information or substituting the missing values with estimated mean scores), although simple to implement, are problematic because those methods may result in biased data models. Fortunately, recent advances in theoretical and computational statistics have led to more feasible techniques to address the missing data problem.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116087368","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: 7
Low Space Complexity Multiplier for Even-Type Gaussian Normal Basis over GF(2m) GF(2m)上偶型高斯正态基的低空间复杂度乘法器
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.19
Q. Su, Jeng-Shyang Pan, Chun-Sheng Yang
{"title":"Low Space Complexity Multiplier for Even-Type Gaussian Normal Basis over GF(2m)","authors":"Q. Su, Jeng-Shyang Pan, Chun-Sheng Yang","doi":"10.1109/CMCSN.2016.19","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.19","url":null,"abstract":"Gaussian normal basis in multiplier design perform excellent, matrix-vector decomposition is most important part in multiplication algorithm. In this paper, we proposed a symmetric matrix-vector product method, theoretical analysis shows that the proposed scheme is less space complexity comparing to the traditional TMVP approach. The main advantage of the proposed multiplier is can be designed and implementationin in a smaller size and we can reduce a large number of AND gates.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116286641","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
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