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

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Implementation of the Human Action State Recognition Using Smartphone 基于智能手机的人类动作状态识别的实现
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.27
Kuan-Yu Chen, Jiun-Jian Liaw
{"title":"Implementation of the Human Action State Recognition Using Smartphone","authors":"Kuan-Yu Chen, Jiun-Jian Liaw","doi":"10.1109/CMCSN.2016.27","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.27","url":null,"abstract":"In today's society, smartphone have become part of our lives. With regard to these small devices, the function of an accelerometer sensor has been installed as essential. Therefore, it is utilized by the public to recognize humans' action state. Among these different actions, there is a difference existing in the accelerometer value, so as to raise the nine features: Signal Magnitude Area, Variation, Correlation, Kurtosis, Skewness, Amplitude, Differential Signal, Magnitude, Mean and Standard Deviation to help us for the recognition of the action state. The bigger the difference among these features, the easier to differentiate the information of unknown actions. Therefore, we can recognize people's actions such as walking, running and static states in their daily lives.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"29 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":"133770875","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
Food Texture Classification Using Magnetic Sensor and Principal Component Analysis 基于磁传感器和主成分分析的食物质地分类
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.39
Hiroyuki Nakamoto, Daisuke Nishikubo, Shu Okada, F. Kobayashi, F. Kojima
{"title":"Food Texture Classification Using Magnetic Sensor and Principal Component Analysis","authors":"Hiroyuki Nakamoto, Daisuke Nishikubo, Shu Okada, F. Kobayashi, F. Kojima","doi":"10.1109/CMCSN.2016.39","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.39","url":null,"abstract":"Food texture is one of important characteristics which affect food sales. Designing and evaluating food textures require a food texture sensor. In this study, a novel food texture sensor is proposed. The food texture sensor has giant magnetoresistance (GMR) elements and an inductor as sensing elements. In food fracture, the GMR elements and the inductor measure force and induced voltage, respectively. The food texture sensor measure four foods in laboratory experiments and obtain their waveforms. A principal component analysis analyzes the waveforms of the force and induced voltage, and divided the food textures to clusters using principal components. Therefore, the force and induced voltage obtained by the sensor have the features of the waveforms reflecting the food textures.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"531 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":"133401413","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
To Heritage the Business Intelligence of Traditional Industry by Using Decision Support System 利用决策支持系统传承传统行业的商业智能
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.14
Shu-Chin Wang, K. Yan, Hsueh-Hsun Huang, Yan-Zhen Li
{"title":"To Heritage the Business Intelligence of Traditional Industry by Using Decision Support System","authors":"Shu-Chin Wang, K. Yan, Hsueh-Hsun Huang, Yan-Zhen Li","doi":"10.1109/CMCSN.2016.14","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.14","url":null,"abstract":"Due to the operating variables severe increasingly, the complex environment is difficult to predict by traditional industries. The problems of experienced staff of traditional industries have emerged by employees aging and a shortage of talent. Because of advances in information technology, the traditional industries will be changed. In this study, a Business Intelligent-based DSS (BIDSS) is proposed. The heritage of business intelligence for the traditional industry will be assisted in order to enhance the competitiveness of traditional industry by the proposed BIDSS.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"19 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":"128163454","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
Speech Recognition in a Multi-speaker Environment by Using Hidden Markov Model and Mel-frequency Approach 基于隐马尔可夫模型和mel频率方法的多说话人环境下语音识别
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.47
J. Watada, H. Kitagawa
{"title":"Speech Recognition in a Multi-speaker Environment by Using Hidden Markov Model and Mel-frequency Approach","authors":"J. Watada, H. Kitagawa","doi":"10.1109/CMCSN.2016.47","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.47","url":null,"abstract":"The sound is a useful and versatile form of communication, where each sound have characteristics and levels of different frequency. Sound serves two basic functions for people around the world: signaling and communication. Several problems are found in sounds identifying, like pitch, velocity, and accuracy of processing voice data. The motivation of this research is to recognize and analyze human voice in a multi-speaker environment from the meeting or indirect conversation. In this research, a Hidden Markov Model approach is proposed as an emotion classifier to carry out testing phases using speech data.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"23 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":"125300427","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
Time Competition Flooding in High-Density Wireless Sensor Network 高密度无线传感器网络中的时间竞争泛洪
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.34
Shuai Liu, Jeng-Shyang Pan, Lingping Kong, Chien‐Ming Chen
{"title":"Time Competition Flooding in High-Density Wireless Sensor Network","authors":"Shuai Liu, Jeng-Shyang Pan, Lingping Kong, Chien‐Ming Chen","doi":"10.1109/CMCSN.2016.34","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.34","url":null,"abstract":"Flooding is a simple technique in wireless sensor networks where a source or node sends packets through every outgoing link, which is similar to broadcasting. A pure flooding is quite reliable, however, it is clearly too expensive. Data packets are being transmitted via all nodes that are all required to forward the packets exactly once. In this paper, we introduce a new flooding protocol based on pure flooding, which is time competition flooding (TCF) for multi-hops high density networks. In the elections process, we tradeoff the node's residual energy and location information to decide which nodes is suitable for transferring. The one who is chosen as the relay is an active node, and all the other nodes will not re transfer. This method is free of further information exchange and complex topology computing. As showed in the experiment, our method is advantage in reducing total number of active nodes and transmissions compared with last method.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"56 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":"127700950","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
A Secure Condition-Based Location Authentication Protocol for Mobile Devices 一种基于条件的安全移动设备位置认证协议
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.16
Chien‐Ming Chen, Xiaojie Zhang, Tsu-Yang Wu
{"title":"A Secure Condition-Based Location Authentication Protocol for Mobile Devices","authors":"Chien‐Ming Chen, Xiaojie Zhang, Tsu-Yang Wu","doi":"10.1109/CMCSN.2016.16","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.16","url":null,"abstract":"In this paper, we propose a condition-based location authentication protocol for mobile devices to authenticate users' location claims. This protocol collaborates with other neighboring mobile devices to generate the trusted proofs. This protocol does not require any extra equipment built in mobile devices, thus, it is easy to use and deploy. Through the security analysis, our protocol is more secure than previous methods since it can resist more potential attacks.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"31 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":"126923087","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
Kernel Self-Adaptive Learning-Based Satellite Telemetry Data Classification 基于核自适应学习的卫星遥测数据分类
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.54
Junbao Li, Wenhui Yang, Datong Liu, Jing Liu
{"title":"Kernel Self-Adaptive Learning-Based Satellite Telemetry Data Classification","authors":"Junbao Li, Wenhui Yang, Datong Liu, Jing Liu","doi":"10.1109/CMCSN.2016.54","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.54","url":null,"abstract":"Telemetry data, containing the data of multiple subsystems such as power system, implies the on-orbit operation status information of the satellite. We can obtain performance characteristics and fault symptom of the satellite subsystems through analyzing these data. Using classification algorithm we can provide normal data for anomaly detection and find the data from various subsystems which have the same category labels. Then we will get potential knowledge of the satellite and rich expert experience. Because of the importance to national defense and people's livelihood fields, we have higher requirements about the accuracy and stability of satellite data processing. We proposed a kernel self-adaptive method based on Fisher Discriminant Analysis (FDA). Firstly map the data to high-dimensional space by kernel function. Then perform PCA in high-dimensional space. Finally classify data by Fisher Discriminant Analysis method. The selection of the kernel function and its parameters realized by self-adaptive method are based on the data. This method can achieve ideal classification accuracy toward satellite telemetry data according to our experiments. And the accuracy is stable when process data of same type. The performance of this method proved that it is reliable.","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":"130566205","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
Optimal Design of LED Street Lighting with Road Conditions 道路条件下LED路灯照明优化设计
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.43
Chun-Wen Chu, Wei-Cheng Chao, Chi-Chin Yang, Pei-Jung Wu, Chien-Yu Chen, Yu-Ping Kuo, L. Lee
{"title":"Optimal Design of LED Street Lighting with Road Conditions","authors":"Chun-Wen Chu, Wei-Cheng Chao, Chi-Chin Yang, Pei-Jung Wu, Chien-Yu Chen, Yu-Ping Kuo, L. Lee","doi":"10.1109/CMCSN.2016.43","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.43","url":null,"abstract":"In this study, the significant factors can cause glare on different conditions of the road light are identified by the design of experiment and simulation. The results are useful to help people avoid the discomfort glare and be safety when they are near the load lights.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"51 348 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":"126151033","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
Robot Partner Technology Based on Information Support System for Elderly People and Their Family 基于老年人及其家庭信息支持系统的机器人伙伴技术
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.35
B. Yusuf, Jinseok Woo, János Botzheim, N. Kubota, B. Tudjarov
{"title":"Robot Partner Technology Based on Information Support System for Elderly People and Their Family","authors":"B. Yusuf, Jinseok Woo, János Botzheim, N. Kubota, B. Tudjarov","doi":"10.1109/CMCSN.2016.35","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.35","url":null,"abstract":"The development of robot partners for supporting daily life of human has been increasing recently. One main feature in developing such robot is the communication system. The main issues to be solved are, what kind of information can be provided, when the information is provided, how to convey the information and so on. In this paper, we try to solve these problems by proposing a communication system for the robot partner. We focus on information support system for elderly people and their family. We use a smartphone based robot partner to directly interact with elderly person, while using web based avatar to communicate with the elderly person's family. The web based avatar acquires data from the robot partner everyday. Thus, the elderly person's family can check the elderly person's activity. In order to provide elderly people with suitable information, we also use the proposed system for extracting their preferences.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"1 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":"129353787","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
Safety Live Environment Enhancement for Older Adult by Using the Behavior Prediction Model 基于行为预测模型的老年人安全生活环境改善研究
2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN) Pub Date : 2016-05-01 DOI: 10.1109/CMCSN.2016.13
K. Yan, Shu-Chin Wang, Shun-Sheng Wang, J. Juang
{"title":"Safety Live Environment Enhancement for Older Adult by Using the Behavior Prediction Model","authors":"K. Yan, Shu-Chin Wang, Shun-Sheng Wang, J. Juang","doi":"10.1109/CMCSN.2016.13","DOIUrl":"https://doi.org/10.1109/CMCSN.2016.13","url":null,"abstract":"In an aging society, the living safety at home of elderly person has gained attention and concern of the parties in the field. However, the cost of providing a safety smart home environment is very high. Therefore, according to the behavior patterns of older adult, the behavioral prediction model is proposed. In this paper, the actual life of the behavior of older adult and behavior patterns through the scenario approach established were compared with the forecast. However, through the proposed model, the safety living environment can be obtained.","PeriodicalId":153377,"journal":{"name":"2016 Third International Conference on Computing Measurement Control and Sensor Network (CMCSN)","volume":"15 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":"121069203","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
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