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2016 10th International Conference on Sensing Technology (ICST)最新文献

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A diameter control system of absorbable suture based on generalized predictive control algorithm 基于广义预测控制算法的可吸收缝线直径控制系统
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796292
X. Sui, Yao Li
{"title":"A diameter control system of absorbable suture based on generalized predictive control algorithm","authors":"X. Sui, Yao Li","doi":"10.1109/ICSENST.2016.7796292","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796292","url":null,"abstract":"During the spinning forming process of chitosan and collagen absorbable suture, the diameter is uneven. To solve this problem, this article provides a diameter control system of absorbable suture which based on generalized predictive control (GPC) algorithm. The system consists of the diameter detection module based on linear CCD, the control module based on STM32, the actuator of reverse series type double hydraulic cylinder. The control algorithm adopts self-adaptive generalized predictive control (GPC) algorithm which successes in realizing closed loop control of large time delay system in the process of absorbable suture forming. The results of the experiment show that the control system has good rapidity and good stability, the control accuracy reached 1%.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122424515","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
Research of thermal gas flow measurement based on single sensor 基于单传感器的热气体流量测量研究
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796284
Miao Mingming, Wu Jian
{"title":"Research of thermal gas flow measurement based on single sensor","authors":"Miao Mingming, Wu Jian","doi":"10.1109/ICSENST.2016.7796284","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796284","url":null,"abstract":"The paper analyses heat transfer principle of thermal gas flow meter, and presents a method of the flow measurement based on single platinum resistance. The sensor works in CTD (Constant Temperature Difference) controlling mode. The measurement circuit and the signal acquisition circuit are designed to control the platinum resistance at two different temperatures. The gas mass flow is obtained from the voltage of the sensor on both terminals of the platinum resistance, which effectively eliminates the effects of the gas temperature and improves measurement accuracy.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124826669","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
Based on stress-impedance effect exciting signal source of a new amorphous alloy 基于应力阻抗效应的新型非晶合金激励信号源
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796316
Pei Rong, Wu Jian, Hu Jian
{"title":"Based on stress-impedance effect exciting signal source of a new amorphous alloy","authors":"Pei Rong, Wu Jian, Hu Jian","doi":"10.1109/ICSENST.2016.7796316","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796316","url":null,"abstract":"The stress-impedance (SI) effect is a new special physical effect which has the value of research and application in amorphous alloy found in recent years. The SI effect of an amorphous Fe7.15Cu1Nb3Si13.5B9 alloy powder / silicone rubber piezomagnetic composite is investigated on theory and experiment. Optimal excitation method and various parameters are obtained, which provide a useful basis for the design of a signal source. Several key technologies, including the frequency of the oscillator, Rs and design of time constant are discussed. Experimental results prove the work principle of exciting signal source is simple, realizable and the amorphous alloy can be used to produce force-sensitive elements in new type pressure sensors, which has wide application prospect and popularization value.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126595330","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 measuring method of the inner deformation for high concrete faced rockfill dam with pipe-robot monitoring system 利用管道机器人监测系统测量高面板堆石坝内部变形的方法
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796291
Mingshuai Yao, Yanzhang Zhou, Zhongliu Zhang, Bin He, Rujian Sun, Xian Zhang
{"title":"The measuring method of the inner deformation for high concrete faced rockfill dam with pipe-robot monitoring system","authors":"Mingshuai Yao, Yanzhang Zhou, Zhongliu Zhang, Bin He, Rujian Sun, Xian Zhang","doi":"10.1109/ICSENST.2016.7796291","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796291","url":null,"abstract":"The design theory and construction technology of the concrete faced rockfill dam (CFRD) had reached the advanced world level at the present stage in China. But the traditional measuring method is not suitable for the safety monitoring of the high concrete faced rockfill dam with the height of more than 300 m. By summarizing the basic technical requirements and key technical design of the inner deformation measuring method for the high concrete faced rockfill dam, the pipe-robot monitoring system which could measure the inner deformation of dam in pipes with the length of 1000 m was developed. The analysis of error control shows that the measuring error of single measuring point or the all points can meet the measurement accuracy requirements. Although the pipe-robot system was just developed and the application of it in engineering is only the piping installation of pipe-robot system at the dam construction stage, on the basis of modeling test with 1:1 scale and comparative analysis of results, the feasibility and applicability of the utilization of the pipe-robot technique for measuring the inner deformation of the high concrete faced rockfill dam were tested and verified. This paper introduced pipe-robot system and analyzed the data obtained in the model test, proposing a new monitoring technology and new design concept, which is different from the traditional measuring method of the inner deformation of CFRD.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121604688","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
Research on dynamic positioning of Model-Converted ROV anti-waves based on micro inertial navigation sensors 基于微惯性导航传感器的模型转换型ROV抗波动态定位研究
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796234
Zeng Qingjun, Liang Song, Liu Huiting, Zhang Ming, Dai Xiaoqiang
{"title":"Research on dynamic positioning of Model-Converted ROV anti-waves based on micro inertial navigation sensors","authors":"Zeng Qingjun, Liang Song, Liu Huiting, Zhang Ming, Dai Xiaoqiang","doi":"10.1109/ICSENST.2016.7796234","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796234","url":null,"abstract":"In terms of the uncertainties induced by wave disturbances when an underwater vehicle is operated by the surface of water, a dynamic model based on CFD is built to analyze 6DOF positioning combining with the novelty Model-Converted Remotely Operated Vehicle (MC-ROV) of ocean engineering. A strategy of force and moment allocations is designed according to positioning error, then compensating it with an algorithm known as Non-singular Terminal Sliding Model (NTSM) to low the impact brought by waves likewise. And based on Micro-Electro-Mechanical Systems (MEMS) devices, an integrated micro inertial navigation system is designed. The Unscented Kalman Filter (UKF) is used to improve the navigation accuracy and estimate the real-time location information of MC-ROV. Simulation results show that the proposed algorithm can make the underwater vehicle reach a pre-given position rapidly and effectively, moreover it can adjust the strategy of force and moment promptly when encounters with perturbations so that reduces the negative effects.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114307182","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
EEG pattern recognition based on dual-tree complex wavelet transform and particle swarm optimization 基于双树复小波变换和粒子群优化的脑电模式识别
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796311
Minmin Miao, Aimin Wang, Changsen Zhao, Feixiang Liu
{"title":"EEG pattern recognition based on dual-tree complex wavelet transform and particle swarm optimization","authors":"Minmin Miao, Aimin Wang, Changsen Zhao, Feixiang Liu","doi":"10.1109/ICSENST.2016.7796311","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796311","url":null,"abstract":"Aiming at the issue of motor imagery electroencephalography (EEG) pattern recognition in the research of brain-computer interface (BCI), a novel method based on dual-tree complex wavelet transform (DTCWT) and particle swarm optimization (PSO) was proposed. The advantage of DTCWT over discrete wavelet transform (DWT) was discussed in depth and the ERD/ERS phenomenon was verified at first. Then, the signal component related to sensory motor rhythms was extracted based on dual tree complex wavelet decomposition and reconstruction. Afterward, PSO algorithm was implemented to search the optimal time interval automatically for feature extraction. Finally, average energy, root mean square and signal variance were extracted as features and linear discriminant analysis (LDA) was applied for classification. The results show that the proposed method can find the relatively optimal time interval for feature extraction automatically and the maximum classification accuracy is 90%, which is better than the BCI competition winner.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127743419","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
Teach robots understanding new object types and attributes through natural language instructions 通过自然语言指令教机器人理解新的对象类型和属性
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796256
Jiatong Bao, Z. Hong, Hongru Tang, Yu Cheng, Yunyi Jia, Ning Xi
{"title":"Teach robots understanding new object types and attributes through natural language instructions","authors":"Jiatong Bao, Z. Hong, Hongru Tang, Yu Cheng, Yunyi Jia, Ning Xi","doi":"10.1109/ICSENST.2016.7796256","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796256","url":null,"abstract":"Robots often have limited knowledge about the environment and need to continuously acquire new knowledge in order to collaborate with the humans. To address this issue, this paper presents a method which allows the human to teach a robot new object types and attributes through natural language (NL) instructions. A simple yet robust vision algorithm is proposed to segment objects and describe the relations between objects. The segmented objects as well as their relations are regarded as the basic knowledge of the robot. The NL instructions are processed to domain-specific representations for the robot to identify the target objects. The target objects as well as the object type or attribute labels referred in the NL instructions are collected as training samples for the robot to learn. Experimental results demonstrate the effectiveness and advantages of the proposed method.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133673062","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
Multi-classifiers ensemble with confidence diversity for fault diagnosis in induction motors 基于置信度分集的多分类器集成异步电动机故障诊断
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796328
H. Tao, L. Mo, Fei Shen, Z. Du, Ruqiang Yan
{"title":"Multi-classifiers ensemble with confidence diversity for fault diagnosis in induction motors","authors":"H. Tao, L. Mo, Fei Shen, Z. Du, Ruqiang Yan","doi":"10.1109/ICSENST.2016.7796328","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796328","url":null,"abstract":"Motor is a kind of imperative driving device, whether a motor can monitor its state precisely and diagnose fault timely have a profound impact. This paper mainly investigates the improvement of the general method of motor defect diagnosis to achieve higher accuracy. Unfortunately, every classifier has their own respective advantages and disadvantages, using the typical machine learning methods separately cannot achieve the expectant classify results. So, fusing the result of multiple classifiers to fully exploit the advantages of each sensor to reach the requirement of improving the classification accuracy. In this paper, three types of classifiers are fused: naïve Bayes classifier, Random Forest classifier, and SVM classifier. By the algorithm of multi-classifier, the states of the motor can be predicted correctly.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134096446","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
Wearable preimpact fall detector using SVM 基于SVM的可穿戴预冲击跌落检测器
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796223
Tianyi Zhen, Lilei Mao, Jiawei Wang, Qiang Gao
{"title":"Wearable preimpact fall detector using SVM","authors":"Tianyi Zhen, Lilei Mao, Jiawei Wang, Qiang Gao","doi":"10.1109/ICSENST.2016.7796223","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796223","url":null,"abstract":"In order to distinguish falls from normal activities exactly, a fall early warning wearable detector combining angle with acceleration features was proposed in this paper. The detector consists of MEMS inertial sensor and smartphone. The application to solve classification algorithm using Support Vector Machine is developed. Experimental trials which young adults participated in involved 250 falls (4 types, forward, backward, left and right) and 250 normal activities (10 types, bowing, jogging, ascending stairs, etc.). The results of experiment showed the detector provided a sensitivity of 99%, a specificity of 96.5% and the average lead-time is 268 ms. The approached detector's feasibility and efficiency in detecting falls from daily events were verified.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134321293","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: 12
A handwritten digit recognition method based on hybrid features extraction and its application to a temperature sensor array 基于混合特征提取的手写体数字识别方法及其在温度传感器阵列中的应用
2016 10th International Conference on Sensing Technology (ICST) Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796335
Lei Wang, Hongsheng Li, Jizhong Xiao, Liang Yang
{"title":"A handwritten digit recognition method based on hybrid features extraction and its application to a temperature sensor array","authors":"Lei Wang, Hongsheng Li, Jizhong Xiao, Liang Yang","doi":"10.1109/ICSENST.2016.7796335","DOIUrl":"https://doi.org/10.1109/ICSENST.2016.7796335","url":null,"abstract":"This paper proposed a hybrid feature extraction method to improve the correct recognition rate of a handwritten digit recognition device based on temperature sensor array. The hybrid features are based on the temperature changes of the temperature sensor array during the process of handwriting, and the Principal Component Analysis (PCA) method is used for choosing the principal component of the features. Then the Support Vector Machine with the kernel of Radial Basis Function (RBF) is used for the online handwritten digit recognition. Lastly the above methods are applied in the online handwritten digit recognition system based on the temperature sensor array, and its performance is evaluated with well-designed comparative experiments. The experimental results demonstrate that the correct recognition rate of the hybrid features extraction based method exceeds 99%, which is 4% better than the static features based method and 37.5% better over the dynamic features based method.","PeriodicalId":297617,"journal":{"name":"2016 10th International Conference on Sensing Technology (ICST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131960766","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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