{"title":"Vietnamese speech recognition using Dynamic Time Warping and Coefficient of Correlation","authors":"Vu Duc Lung, Vu N. Truong","doi":"10.1109/ICCAIS.2013.6720531","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720531","url":null,"abstract":"The hidden Markov model is supposed as the most common and effective method used in speech recognition for all languages including Vietnamese. However, this method is quite cumbersome and difficult to implement in many embedded systems that have limited resources. Dynamic Time Warping (DTW) method, whereas, has been in much study by many scientists and is proved to be simple and efficient for a relatively small set of words (about 100 words). Though, this method has not been investigated for Vietnamese. This paper will present the investigation result of the combination between Dynamic Time Warping and Correlative Coefficient in Vietnamese speech recognition dependent with the speaker. The vocabulary to be recognized and trained are 124 words. The training data are recorded from 7 people (4 men and 3 women), with four recording time in noise free environment. The recognition outcome achieves the accuracy above 90% on average. In some control areas, such as computer and television control, this accuracy is very promising. DTW, therefore, is proposed as a simple and efficient for Vietnamese speech recognition in many simple control systems.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131940778","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":"An improved weighting strategy for Rao-Blackwellized Probability Hypothesis Density simultaneous localization and mapping","authors":"K. Leung, Felipe Inostroza, M. Adams","doi":"10.1109/ICCAIS.2013.6720538","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720538","url":null,"abstract":"The use of random finite sets (RFSs) in simultaneous localization and mapping (SLAM) for mobile robots is a new concept that provides several advantages over traditional vector-based approaches. These include: 1) the incorporation of detection statistics, as well as the usual spatial uncertainty, in an estimation algorithm, 2) the ability to estimate the number of landmarks in a map, and 3) the circumvention of the need for data association heuristics. Solutions to SLAM can be obtained through the Rao-Blackwellized Probability Hypothesis Density (RB-PHD) filter, which is an approximation of the Bayes filter for RFSs using both particles to represent the robot trajectories, and Gaussian mixtures to represent their associated maps. This paper proposes an improved multi-feature particle weighting strategy for the RB-PHD filter and shows through simulations that it outperforms existing weighting strategies. The proposed strategy makes the RB-PHD filter a generalization of multi-hypothesis (MH) FastSLAM, a vector-based SLAM solution that uses the RB-particle filter.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131359487","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":"FPGA-realization of fuzzy speed controller for PMSM drives without position sensor","authors":"Nguyen Vu Quynh, Y. Kung","doi":"10.1109/ICCAIS.2013.6720568","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720568","url":null,"abstract":"This work realizes the speed control for permanent magnet synchronous motor (PMSM) drives under the condition of without position sensor. Rotor flux angle and rotor speed are obtained by using the algorithm of sliding mode observer. And the fuzzy controller is adopted for controlling the speed of PMSM in order to increase the robust performance. In this paper, we provide an approach from modeling, system design, co-simulation in Modelsim/Simulink to experiment in FPGA which can be used to design and validate our proposed control system. Finally, both simulation and experiment results are confirmed the effectiveness and correctness of the proposed FPGA-based fuzzy speed controller for PMSM which is without position sensor.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125001808","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":"Inverse dynamic of a N-links manipulator mounted on a wheeled mobile robot","authors":"C. My, L. C. Thanh","doi":"10.1109/ICCAIS.2013.6720548","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720548","url":null,"abstract":"Modeling and analyzing the inverse dynamic for robotic systems play an important role in designing and controlling the robots. As for the robotic system designed with a general n-links manipulator integrated on a wheeled mobile robot, modeling and analyzing its dynamic cope with challenge since the system consists of the non-holonomics and redundancy properties. In this paper, we introduce an efficient scheme for building a set of the governing equations which describe the system's dynamical behavior, and propose an algorithm for analyzing the inverse dynamic equations effectively.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"19 S28","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120842250","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":"Real time finger writing recognition system for human computer interaction","authors":"Phuong Le, V. Nguyen","doi":"10.1109/ICCAIS.2013.6720530","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720530","url":null,"abstract":"This paper proposes a real time finger writing recognition system using a web camera to enable user to interact with computer systems by their own bare hands. The hand region is firstly extracted by background subtraction and blob labeling. Then, convex hull and convexity defect are used to count the fingers and detect the fingertip coordinates. The trajectory of the fingertip is smoothed and drawn to become a finger writing character. Next, it is recognized by the Support Vector Machine classifier, which is trained with our collected database and specific parameters for finger writing recognition. Finally, the event corresponding to the character is sent to the computer systems. Experimental results show that the proposed system can successfully count the fingers and recognize the finger writing English characters with the accuracies of 98.3% and 83.4% respectively.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130713022","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":"Modeling and impedance control of a 6-DOF haptic teleoperation system","authors":"Vu Minh Hung, Trinh Quang Trung","doi":"10.1109/ICCAIS.2013.6720543","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720543","url":null,"abstract":"A new dynamic model and impedance control algorithm of a haptic feedback device for robotic teleoperation is analyzed in this paper. User forces applied to the haptic device through human hand movements are modeled as disturbances to the control system. Detailed analysis for modeling haptic device and human hand is provided and then a self-tuning Fuzzy PID control scheme is proposed to improve system transparency by achieving good force tracking performances. This control is developed to tune PID parameters based on the environment-slave contact force and the human-haptic device contact force in real-time. Experiment results show good force tracking comparison for the 6-DOF haptic teleoperation system.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131780571","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}
Duc-Minh Pham, Trong-Nhan Dam-Nguyen, Phuc-Thinh Nguyen-Vo, M. Tran
{"title":"Smart Teddy Bear a vision-based story teller","authors":"Duc-Minh Pham, Trong-Nhan Dam-Nguyen, Phuc-Thinh Nguyen-Vo, M. Tran","doi":"10.1109/ICCAIS.2013.6720564","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720564","url":null,"abstract":"Young children need their parents' love and care but their parents are not always available to tell them stories. This motivates our proposal of a Smart Teddy Bear, a vision-based story teller, to assist young children in their social-emotional growth. When a young child wants to listen to a story, he or she simply opens any page in that book before a Smart Teddy Bear and the system automatically recognizes which book is of interest and plays the corresponding audio story. Our proposed system is based on the Bag-of-Words model. We propose to eliminate too small visual features and to downscale an image up to 1/16 of its original size to remove up to 70% of unnecessary visual features. Furthermore we ensemble results of multiple lightweight SVM classifiers to boost the overall accuracy. Experimental results show that our system achieves the accuracy of 99.33% with 40 books containing 1369 different pages. We propose the Smart Teddy Bears help children enjoy audio books in a new exciting way through attractive interactions with their lovely toys.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"5 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133056745","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":"Quasi-continuous implementation of structural nonlinear controller based on direct-decoupling for Permanent Magnet Synchronous Motor","authors":"Pham Tam Thanh, N. P. Quang","doi":"10.1109/ICCAIS.2013.6720569","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720569","url":null,"abstract":"The paper proposes a quasi-continuous implementation of a continuous control design for a Permanent Magnet Synchronous Motor (PMSM). Based on an idea of exact linearization, the authors present a direct-decoupling structure for the PMSM. The main focus of our research is to develop nonlinear control algorithms for the PMSM, which are highly applicable for real-time digital implementation. The experimental results show the effectiveness of the proposed quasi-continuous implementation.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134508412","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":"Application of neural networks to design the controller for autonomous vehicles by learning driver's behavior","authors":"T. P. Le, L. V. Dat., I. Stiharu","doi":"10.1109/ICCAIS.2013.6720520","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720520","url":null,"abstract":"This paper presents an application of NNs to autonomous vehicles. The method is a result of linear quadratic regulator (LQR) used to design the controller for autonomous vehicles in the steady state. The NN structure is designed with the reference of the driver model. Two single neurons perform as the path filter where the previewed path is weighted. The vehicle model with nonlinear dynamics represents a real vehicle. The NN weights adapt to various road shapes. Finally, the trained NN are tested through the F1 Montreal circuit in order to evaluate the vehicle performance in navigation and speed control.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132894380","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}
Pierre Tchakoua, R. Wamkeue, F. Slaoui-Hasnaoui, Tommy Andy Theubou Tameghe, G. Ekemb
{"title":"New trends and future challenges for wind turbines condition monitoring","authors":"Pierre Tchakoua, R. Wamkeue, F. Slaoui-Hasnaoui, Tommy Andy Theubou Tameghe, G. Ekemb","doi":"10.1109/ICCAIS.2013.6720561","DOIUrl":"https://doi.org/10.1109/ICCAIS.2013.6720561","url":null,"abstract":"As the demand for wind energy continues to grow at exponential rates, reducing operation and maintenance costs and increasing reliability is now a top priority. Aside from developing more advanced wind turbines designs to improve the availability, an effective way to achieve this improvement is to apply reliable and cost-effective condition monitoring techniques. After highlighting on condition monitoring, diagnosis and maintenance theories, this paper outlines the relationship between these theories and related technical concepts. It also takes a look on new trends and future challenges in the wind turbine condition monitoring industry.","PeriodicalId":347974,"journal":{"name":"2013 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123211319","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}