Image, or image sequence, have been significantly accessible due to fast pace of device development. Based on that, branches of appliance in recognition especially face recognition emerged, and have been contributing a lot to human security and privacy. This paper demonstrates a brief introduction of face recognition. To begin with, main steps are represented with an overall explanation. After that, in each specific step several outstanding algorithms are offered, followed by their performance in different platform. Finally, widespread face databases are demonstrated, along with detailed information and description of each.
{"title":"A Brief Introduction of Face Recognition","authors":"Zhiyuan Ma, Xinman Zhang","doi":"10.1109/CRC.2019.00033","DOIUrl":"https://doi.org/10.1109/CRC.2019.00033","url":null,"abstract":"Image, or image sequence, have been significantly accessible due to fast pace of device development. Based on that, branches of appliance in recognition especially face recognition emerged, and have been contributing a lot to human security and privacy. This paper demonstrates a brief introduction of face recognition. To begin with, main steps are represented with an overall explanation. After that, in each specific step several outstanding algorithms are offered, followed by their performance in different platform. Finally, widespread face databases are demonstrated, along with detailed information and description of each.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129513548","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 main principle thought of this research is to give a general outline about Deformity Prone Software Datasets Models utilizing machine learning classifiers. Deformity Prone Software Datasets Models are also classification problems so it is needed to used Classifiers and analysis the defected datasets models. The evaluation measure unit is used to evaluate the performance of defect prone model datasets. TP-Rate, F-Measure, ROC and CCI these we have used as evaluation measure unit. We have used NASA PROMISE repository Models as Forecast Deformity Prone Software Models. We have selected 17 NASA PROMISE repositories. These datasets files all are with class interests which are Defective and Non-Defective Class. In this research paper, our class interest is already fixed because we are interested in Defective Class so Defective Class is assign. A Comparative study of these classifiers utilized inside the Deformity Prone Software Models are also covered in this research. Experimental Analysis results showed that stacking is worst classifiers and cannot enhanced the efficiency and accuracy of Deformity Prone Software Datasets Models but LMT, Multiclass, Navie Bayes Updateable and Multilayer Perceptron have increased the positive accuracy of defected models and enhanced the efficiency in correctly classified instances.
{"title":"Empirical and Comparative Study of Various Classifiers with Forecast Deformity Prone Software Models","authors":"Maaz Rasheed Malik, Yining Liu, Salahuddin Shaikh","doi":"10.1109/CRC.2019.00028","DOIUrl":"https://doi.org/10.1109/CRC.2019.00028","url":null,"abstract":"The main principle thought of this research is to give a general outline about Deformity Prone Software Datasets Models utilizing machine learning classifiers. Deformity Prone Software Datasets Models are also classification problems so it is needed to used Classifiers and analysis the defected datasets models. The evaluation measure unit is used to evaluate the performance of defect prone model datasets. TP-Rate, F-Measure, ROC and CCI these we have used as evaluation measure unit. We have used NASA PROMISE repository Models as Forecast Deformity Prone Software Models. We have selected 17 NASA PROMISE repositories. These datasets files all are with class interests which are Defective and Non-Defective Class. In this research paper, our class interest is already fixed because we are interested in Defective Class so Defective Class is assign. A Comparative study of these classifiers utilized inside the Deformity Prone Software Models are also covered in this research. Experimental Analysis results showed that stacking is worst classifiers and cannot enhanced the efficiency and accuracy of Deformity Prone Software Datasets Models but LMT, Multiclass, Navie Bayes Updateable and Multilayer Perceptron have increased the positive accuracy of defected models and enhanced the efficiency in correctly classified instances.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130579469","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}
To solve the problem of the weighting matrixes calculation in Optimal Control Pilot Model (OCM), a weightings calculation method based on pilot's optimal attention allocation hypothesis is proposed. A numerical example is used to verify the hypothesis of optimal attention allocation and the method of calculating the weightings, which proves the rationality of the hypothesis and the feasibility of the weighting ratio calculating method. Through simulation, three main conclusions are obtained: first, the form of index function will significantly affect the frequency domain characters of the man-machine system; second, although the index function is setting differently, the obtained observation weightings values Qy are basically the same, which may indicate that the pilot's attention allocation is basically the same for the same mission of the same aircraft; third, When the observation factors in the index function is larger than two, there may be no solution or multiple groups of solutions. This method may be ineffective, which will be further deepened in the future.
{"title":"A Method for Generating the Weighting Matrixes in Optimal Control Pilot Model","authors":"Y. Zhang, Jia Liu, Chuwan Xiao, Yan Cui","doi":"10.1109/CRC.2019.00010","DOIUrl":"https://doi.org/10.1109/CRC.2019.00010","url":null,"abstract":"To solve the problem of the weighting matrixes calculation in Optimal Control Pilot Model (OCM), a weightings calculation method based on pilot's optimal attention allocation hypothesis is proposed. A numerical example is used to verify the hypothesis of optimal attention allocation and the method of calculating the weightings, which proves the rationality of the hypothesis and the feasibility of the weighting ratio calculating method. Through simulation, three main conclusions are obtained: first, the form of index function will significantly affect the frequency domain characters of the man-machine system; second, although the index function is setting differently, the obtained observation weightings values Qy are basically the same, which may indicate that the pilot's attention allocation is basically the same for the same mission of the same aircraft; third, When the observation factors in the index function is larger than two, there may be no solution or multiple groups of solutions. This method may be ineffective, which will be further deepened in the future.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130060210","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}
With the rapid development of economy and society, microelectronic devices play a more and more important role in our daily life. An important challenge for electronic devices is that the energy storage device is not capable of providing reliable energy for the operation of the electronic device for a long time, resulting in frequent charging or battery replacement. In order to meet the need of the sustainable operation of the next generation electronic equipment, the development of the self-charging energy storage device based on the nanogenerator has made remarkable progress. This paper reviews the device design, working principle, self-charging performance and the potential application prospect of the self-charging memory device. In addition, the challenges facing the self-charging energy storage device are also discussed.
{"title":"Triboelectric Nanogenerator and Integration with Electrochemical Microsupercapacitor","authors":"Xiao Feng, Kai Wang, Shuo Li","doi":"10.1109/CRC.2019.00042","DOIUrl":"https://doi.org/10.1109/CRC.2019.00042","url":null,"abstract":"With the rapid development of economy and society, microelectronic devices play a more and more important role in our daily life. An important challenge for electronic devices is that the energy storage device is not capable of providing reliable energy for the operation of the electronic device for a long time, resulting in frequent charging or battery replacement. In order to meet the need of the sustainable operation of the next generation electronic equipment, the development of the self-charging energy storage device based on the nanogenerator has made remarkable progress. This paper reviews the device design, working principle, self-charging performance and the potential application prospect of the self-charging memory device. In addition, the challenges facing the self-charging energy storage device are also discussed.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115033645","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}
{"title":"Message from the Conference Co-Chair","authors":"","doi":"10.1109/crc.2019.00006","DOIUrl":"https://doi.org/10.1109/crc.2019.00006","url":null,"abstract":"","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130058145","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 addresses the problem of establishing upper bounds of the L2 gain of 2D mixed continuous-discrete-time systems. A novel linear matrix inequality condition is proposed based on the introduction of a complex linear fractional representation of the systems and on the use of complex Lyapunov functions depending rationally on a parameter. As shown by an illustrative example, the computational burden of the proposed condition may be rather smaller than existing conditions.
{"title":"On the L2 Gain of 2D Mixed Continuous-Discrete-Time Systems via Complex LFR and Lyapunov Functions","authors":"G. Chesi","doi":"10.1109/CRC.2019.00036","DOIUrl":"https://doi.org/10.1109/CRC.2019.00036","url":null,"abstract":"This paper addresses the problem of establishing upper bounds of the L2 gain of 2D mixed continuous-discrete-time systems. A novel linear matrix inequality condition is proposed based on the introduction of a complex linear fractional representation of the systems and on the use of complex Lyapunov functions depending rationally on a parameter. As shown by an illustrative example, the computational burden of the proposed condition may be rather smaller than existing conditions.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132279662","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 present study has developed a remote crack-measuring device using an Android camera with the laser-positioning technique. Four laser points projecting on walls along with cracks are photographed and utilized as reference points to process the image ortho-rectification. Then, for the crack recognition, a crack-tracking method based on the edge-detecting algorithm is used and implemented in the system. Finally, a field experiment was conducted to validate the proposed remote crack-measuring system. The preliminary result shows that this system has a great potential for field applications.
{"title":"Remote Crack Measurement Using Android Camera with Laser-Positioning Technique","authors":"Wen-Yi Chang, Franco Lin, Tai-Shan Liao, W. Tsai","doi":"10.1109/CRC.2019.00047","DOIUrl":"https://doi.org/10.1109/CRC.2019.00047","url":null,"abstract":"The present study has developed a remote crack-measuring device using an Android camera with the laser-positioning technique. Four laser points projecting on walls along with cracks are photographed and utilized as reference points to process the image ortho-rectification. Then, for the crack recognition, a crack-tracking method based on the edge-detecting algorithm is used and implemented in the system. Finally, a field experiment was conducted to validate the proposed remote crack-measuring system. The preliminary result shows that this system has a great potential for field applications.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125393237","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}
{"title":"[Copyright notice]","authors":"","doi":"10.1109/crc.2019.00003","DOIUrl":"https://doi.org/10.1109/crc.2019.00003","url":null,"abstract":"","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134357486","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}
Palmprint recognition, as a new biometrics technology, has attracted wide attention and research in recent years. Compared with other biometrics, palmprint has many unique advantages, including high recognition rate, low cost of acquisition equipment and good user acceptance. Firstly, this paper introduces the method of extracting the region of interest of palmprint image, the evaluation index of recognition system, the method of obtaining palmprint image by oneself and the commonly used palmprint databases. Then it introduces the method of identifying by extracting single palmprint features, and the method of identifying by fusing palmprint features and other biological features. What's more, it introduces the methods of feature matching, such as Fisher Linear Discriminant and Neural Network. In addition, it also introduces the application of palmprint recognition in life and the Android system developed in this paper. Finally, it makes the summary and prospect.
{"title":"A Summary of Palmprint Recognition Technology","authors":"Jingjing Wang, Xinman Zhang, Weiyong Gong, Xuebin Xu","doi":"10.1109/CRC.2019.00027","DOIUrl":"https://doi.org/10.1109/CRC.2019.00027","url":null,"abstract":"Palmprint recognition, as a new biometrics technology, has attracted wide attention and research in recent years. Compared with other biometrics, palmprint has many unique advantages, including high recognition rate, low cost of acquisition equipment and good user acceptance. Firstly, this paper introduces the method of extracting the region of interest of palmprint image, the evaluation index of recognition system, the method of obtaining palmprint image by oneself and the commonly used palmprint databases. Then it introduces the method of identifying by extracting single palmprint features, and the method of identifying by fusing palmprint features and other biological features. What's more, it introduces the methods of feature matching, such as Fisher Linear Discriminant and Neural Network. In addition, it also introduces the application of palmprint recognition in life and the Android system developed in this paper. Finally, it makes the summary and prospect.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"12 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123801075","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}
With the speech recognition research intensifying gradually in recent years, it is particularly important to grasp the research direction of this filed. This paper summarizes the theoretical algorithms in the development of speech recognition. Firstly, we introduce the specific process of speech recognition, including biometrics acquisition, preprocessing, feature extraction, biometrics pattern matching and recognition results. Besides, we emphatically introduce feature extraction and matching recognition algorithm. We also introduce the application platform, and give the specific application scenarios. Finally, we put forward the shortcomings of the research and prospect the future development trend.
{"title":"An Overview of Speech Recognition Technology","authors":"Xinman Zhang, Yurui Peng, Xuebin Xu","doi":"10.1109/CRC.2019.00025","DOIUrl":"https://doi.org/10.1109/CRC.2019.00025","url":null,"abstract":"With the speech recognition research intensifying gradually in recent years, it is particularly important to grasp the research direction of this filed. This paper summarizes the theoretical algorithms in the development of speech recognition. Firstly, we introduce the specific process of speech recognition, including biometrics acquisition, preprocessing, feature extraction, biometrics pattern matching and recognition results. Besides, we emphatically introduce feature extraction and matching recognition algorithm. We also introduce the application platform, and give the specific application scenarios. Finally, we put forward the shortcomings of the research and prospect the future development trend.","PeriodicalId":414946,"journal":{"name":"2019 4th International Conference on Control, Robotics and Cybernetics (CRC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130186911","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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