With the rapid development of mobile payment, people pay more attention to the safety problems of eavesdropping in NFC communication. This paper proposes a new NFC anti-eavesdropping communication mechanism, by both sides of communication transmission scrambling synchronization signal and interference signal in order to make the two sides signal can be superimposed, so that an eavesdropper can not correctly judge both sides of communication data sent by the superposition of 0 and 1 in this case. Then, the probability of each bit eavesdropping is reduced to 70% and both sides of communication can get each other communication content by a superimposed signal and its signal synchronization signal of two sides subtraction. The experimental results shows the proposed method only needs less hardware consumption in duplex mode of operation.
{"title":"Research on Anti-eavesdropping Communication Mechanism for NFC","authors":"Wenxing Ou, Wang Lei, Zhangqing Yu, Changhong Yu","doi":"10.1109/ICMTMA.2015.206","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.206","url":null,"abstract":"With the rapid development of mobile payment, people pay more attention to the safety problems of eavesdropping in NFC communication. This paper proposes a new NFC anti-eavesdropping communication mechanism, by both sides of communication transmission scrambling synchronization signal and interference signal in order to make the two sides signal can be superimposed, so that an eavesdropper can not correctly judge both sides of communication data sent by the superposition of 0 and 1 in this case. Then, the probability of each bit eavesdropping is reduced to 70% and both sides of communication can get each other communication content by a superimposed signal and its signal synchronization signal of two sides subtraction. The experimental results shows the proposed method only needs less hardware consumption in duplex mode of operation.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122382764","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}
Existing measures and prediction effects for the listed companies financial risk have instability. By the research on strong classifier models, we adopt Adaboost algorithm which can improve any weak learner to strong one to solve the problems. It is integrated with support vector machine to establish the warning model and study the financial warning states of domestic listed companies. The scheme takes SVM based on linear kernel function as the component classifier of Adaboost and changes the kernel function of the component classifier during the learning process. So such integration can obviously improve the performance of classifier and obtain AdaBoostSVM classifier with stronger classification ability. The experiments demonstrate that, compared to single SVM, AdaBoostSVM makes an improvement for 70 test samples of 4% in classification, which shows better application value in the research of listed warning.
{"title":"A Strong Classifier Model for Listed Companies Financial Risk Warning","authors":"Sun Jing, Xinyan-Li, Niu Jun-jie","doi":"10.1109/ICMTMA.2015.22","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.22","url":null,"abstract":"Existing measures and prediction effects for the listed companies financial risk have instability. By the research on strong classifier models, we adopt Adaboost algorithm which can improve any weak learner to strong one to solve the problems. It is integrated with support vector machine to establish the warning model and study the financial warning states of domestic listed companies. The scheme takes SVM based on linear kernel function as the component classifier of Adaboost and changes the kernel function of the component classifier during the learning process. So such integration can obviously improve the performance of classifier and obtain AdaBoostSVM classifier with stronger classification ability. The experiments demonstrate that, compared to single SVM, AdaBoostSVM makes an improvement for 70 test samples of 4% in classification, which shows better application value in the research of listed warning.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122647483","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}
In order to solve the measurement error, low efficiency and poor consistency problem in traditional contact measuring on the measuring of end surface of turnout rail parts size, a method which was based on machine vision to realize the non-contact type size measurement was provided. Firstly, appropriate industrial CCD and camera lens suitable for the actual situation of the end surface of turnout rail parts black and white image was acquired assisting with the forward illumination light, Secondly, the contour of the end surface in the image was extracted joining with mathematical morphology and dynamic threshold, Lastly, the actual size of rail end was got combined with the result of the camera calibration. The experimental results show the method can obtain the more precise value in the size measurement of the end surface of turnout rail parts.
{"title":"Size Measuring of the End Surface of Turnout Rail Parts Based on Machine Vision","authors":"Dou Yan, Zheng Yuqian, Liu Hong-zhu, D. Po","doi":"10.1109/ICMTMA.2015.242","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.242","url":null,"abstract":"In order to solve the measurement error, low efficiency and poor consistency problem in traditional contact measuring on the measuring of end surface of turnout rail parts size, a method which was based on machine vision to realize the non-contact type size measurement was provided. Firstly, appropriate industrial CCD and camera lens suitable for the actual situation of the end surface of turnout rail parts black and white image was acquired assisting with the forward illumination light, Secondly, the contour of the end surface in the image was extracted joining with mathematical morphology and dynamic threshold, Lastly, the actual size of rail end was got combined with the result of the camera calibration. The experimental results show the method can obtain the more precise value in the size measurement of the end surface of turnout rail parts.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114144991","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}
Feather and down products are becoming more and more popular. In recent years, the research team has done the down automatic detection and recognition by computer. In order to raise the recognition rate of feather and down category, in the paper a goal down image detection adaptive sparse representation and tracking method based on image is proposed, and target detection is used to determine the feather and down category. First of all, after the study, proposed improved adaptive sparse expression theory, and related features in the study of down on the image, the adaptive sparse representation theory and the multi-scale geometric analysis theory is applied to image recognition algorithm. The research will build a new adaptive sparse expression theory system, improve the robustness of the feather of image recognition, and will promote the target tracking technology innovation.
{"title":"An Algorithm of Feather and Down Target Detection and Tracking Method Based on Sparse Representation","authors":"Yanqiu Wang, Xiaofei Yan, Wei Zhang","doi":"10.1109/ICMTMA.2015.28","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.28","url":null,"abstract":"Feather and down products are becoming more and more popular. In recent years, the research team has done the down automatic detection and recognition by computer. In order to raise the recognition rate of feather and down category, in the paper a goal down image detection adaptive sparse representation and tracking method based on image is proposed, and target detection is used to determine the feather and down category. First of all, after the study, proposed improved adaptive sparse expression theory, and related features in the study of down on the image, the adaptive sparse representation theory and the multi-scale geometric analysis theory is applied to image recognition algorithm. The research will build a new adaptive sparse expression theory system, improve the robustness of the feather of image recognition, and will promote the target tracking technology innovation.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"108 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114468787","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}
The potential of artificial olfactory technique for on-line monitoring of waste flue gas at different incineration temperatures was examined based on a metal oxide gas sensors array. The sensors signals from 120 samples of flue gas were collected at temperatures from 650 to 950°C. Statistical methods used in this study were principal component analysis (PCA), Linear discriminant analysis (LDA) and Fuzzy neural network (FNN). PCA and LDA were used to reduce the dimensionality and visualization of datasets. The FNN model was achieved with a high discrimination accuracy rate of 85%. Thus, an effective way to discriminate flue gas under different incineration temperatures was put forward.
{"title":"Monitoring the Flue Gas Using a Fuzzy Neural Network Based Artificial Olfactory System","authors":"Bo Zhou, Shitian Zhao, Guohua Cai","doi":"10.1109/ICMTMA.2015.166","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.166","url":null,"abstract":"The potential of artificial olfactory technique for on-line monitoring of waste flue gas at different incineration temperatures was examined based on a metal oxide gas sensors array. The sensors signals from 120 samples of flue gas were collected at temperatures from 650 to 950°C. Statistical methods used in this study were principal component analysis (PCA), Linear discriminant analysis (LDA) and Fuzzy neural network (FNN). PCA and LDA were used to reduce the dimensionality and visualization of datasets. The FNN model was achieved with a high discrimination accuracy rate of 85%. Thus, an effective way to discriminate flue gas under different incineration temperatures was put forward.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"117 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122089522","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}
Aiming at false negative rate and false alart rate which exist generally in the intrusion detection system, a intelligent intrusion detection model is proposed in this paper. Based on the characteristics of global superiority of genetic algorithm and locality of nerve, the model optimizes the weights of the neural network using genetic algorithm. Experiment results show that the intelligent way can improve the efficiency of the intrusion detection.
{"title":"Intelligent Intrusion Detection Based on Soft Computing","authors":"C. Yan","doi":"10.1109/ICMTMA.2015.145","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.145","url":null,"abstract":"Aiming at false negative rate and false alart rate which exist generally in the intrusion detection system, a intelligent intrusion detection model is proposed in this paper. Based on the characteristics of global superiority of genetic algorithm and locality of nerve, the model optimizes the weights of the neural network using genetic algorithm. Experiment results show that the intelligent way can improve the efficiency of the intrusion detection.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157120","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}
Aimed at the need of fully-automatically control of agricultural control system, the distributed intelligent greenhouse computerized control system has been researched. It is composed of center computer and single-chip microprocessor as its control core. Based on artificial intelligence and expert system knowledge database, the greenhouse environmental factors are adjusted in time with the help of real-time inspect ion and intelligent decision-making module. Furthermore, optimized growing conditions o f crops will be created. The whole system is composed of environmental factors inspection module, intelligent decision-making module, data processing module, database management module, irrigation control module. The system owns many advantages such as intelligent decision-making, convenient operation. Besides, it is easy to extend and update. This system has been realized as a product.
{"title":"Design and Application of Distributed Intelligent Greenhouse Computerized System","authors":"Shi Yan-fang, Shi Jian-guo, Xue Yu-qian","doi":"10.1109/ICMTMA.2015.85","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.85","url":null,"abstract":"Aimed at the need of fully-automatically control of agricultural control system, the distributed intelligent greenhouse computerized control system has been researched. It is composed of center computer and single-chip microprocessor as its control core. Based on artificial intelligence and expert system knowledge database, the greenhouse environmental factors are adjusted in time with the help of real-time inspect ion and intelligent decision-making module. Furthermore, optimized growing conditions o f crops will be created. The whole system is composed of environmental factors inspection module, intelligent decision-making module, data processing module, database management module, irrigation control module. The system owns many advantages such as intelligent decision-making, convenient operation. Besides, it is easy to extend and update. This system has been realized as a product.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129684094","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}
This paper designs a preschool education-based video source searching system. It mainly focuses on multimedia resources extraction in Web pages and multimedia noise filter in Web pages to provide multimedia resource research service for people in preschool education field. We study TF-IDF function implemented in text classification, integrate relevant knowledge of information theory and further find out potential relationship of characterized characteristic items between the distributions among class and distribution information inside class. We further put forward an improved TF-IDF function used in text classification and introduce each step from training set arrangement to classifier evaluation in detail including difficulties we met and their solutions. By concluding a series of characteristics in non-thematic related resources we design principle-based video class noise filtration algorithm.
{"title":"Research on Key Technologies of Preschool Video Site Searching System","authors":"Wang Ning","doi":"10.1109/ICMTMA.2015.217","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.217","url":null,"abstract":"This paper designs a preschool education-based video source searching system. It mainly focuses on multimedia resources extraction in Web pages and multimedia noise filter in Web pages to provide multimedia resource research service for people in preschool education field. We study TF-IDF function implemented in text classification, integrate relevant knowledge of information theory and further find out potential relationship of characterized characteristic items between the distributions among class and distribution information inside class. We further put forward an improved TF-IDF function used in text classification and introduce each step from training set arrangement to classifier evaluation in detail including difficulties we met and their solutions. By concluding a series of characteristics in non-thematic related resources we design principle-based video class noise filtration algorithm.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130534841","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}
Track model was built by finite element method. Steel rail was simulated with Euler beam elements, and track bed was simulated with continuum elements. Vehicle was a collection of multi rigid bodies based on multi-body dynamics methods. The rigid-flexible coupling system was connected by Hertz contact method. The experimental results provided support for the model accuracy. The simulation results show that lower rail fastener stiffness have detrimental effect on vehicle dynamics performance, but is beneficial to track vibration damping. This characteristic of fastener is inversely proportional to vehicle velocity. Different fastener can be used on the railway line by considering the vehicle velocity.
{"title":"Research on the Influence of Rail Fastener Stiffness upon Dynamic Performance of Vehicle-Track System","authors":"Tong Tong, Y. Luo, Li Li","doi":"10.1109/ICMTMA.2015.227","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.227","url":null,"abstract":"Track model was built by finite element method. Steel rail was simulated with Euler beam elements, and track bed was simulated with continuum elements. Vehicle was a collection of multi rigid bodies based on multi-body dynamics methods. The rigid-flexible coupling system was connected by Hertz contact method. The experimental results provided support for the model accuracy. The simulation results show that lower rail fastener stiffness have detrimental effect on vehicle dynamics performance, but is beneficial to track vibration damping. This characteristic of fastener is inversely proportional to vehicle velocity. Different fastener can be used on the railway line by considering the vehicle velocity.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126691870","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}
In order to realize the more accurate prediction of annual tourism, use the synthetic index method to calculate the tourism market boom index, after timing phase space reconstruction, merge the original travel data and the tourism market boom index to get the sample, using extreme learning machine algorithm to train sample data, finally get the demand forecasting model of tourism in Liaoning province based on ELM. By comparing the support vector regression algorithm show that: the model based on extreme learning machine algorithm make higher precision, better fitting degree, can more accurately estimate and forecast the tourism market, the application of this model can provide guidance for the tourism market to achieve a reasonable allocation of resources and healthy development.
{"title":"Demand Forecasting Models of Tourism Based on ELM","authors":"Xinquan Wang, Hao-yuan Zhang, Xiaoling Guo","doi":"10.1109/ICMTMA.2015.84","DOIUrl":"https://doi.org/10.1109/ICMTMA.2015.84","url":null,"abstract":"In order to realize the more accurate prediction of annual tourism, use the synthetic index method to calculate the tourism market boom index, after timing phase space reconstruction, merge the original travel data and the tourism market boom index to get the sample, using extreme learning machine algorithm to train sample data, finally get the demand forecasting model of tourism in Liaoning province based on ELM. By comparing the support vector regression algorithm show that: the model based on extreme learning machine algorithm make higher precision, better fitting degree, can more accurately estimate and forecast the tourism market, the application of this model can provide guidance for the tourism market to achieve a reasonable allocation of resources and healthy development.","PeriodicalId":196962,"journal":{"name":"2015 Seventh International Conference on Measuring Technology and Mechatronics Automation","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129078843","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}
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