Duong Phu Thai, N. T. Dzung, T. Hoang, T. de Souza-Daw
{"title":"Implementation of fractal image encoding/decoding on DSP","authors":"Duong Phu Thai, N. T. Dzung, T. Hoang, T. de Souza-Daw","doi":"10.1109/INDS.2011.6024823","DOIUrl":"https://doi.org/10.1109/INDS.2011.6024823","url":null,"abstract":"Fractal image compression has been interested due to highly possible compression ratio and selectable quality variation. However, one of disadvantages in fractal image compression is that it takes long time for encoding. So far, there are several methods proposed to get the high speed of encoding such as Fisher's, Hurtgen's and Saupe's, etc. In this paper, implementation of fractal image compression using Fisher's and Hurtgen's methods on DSP TMS320C5515 Stick kit is presented. Experimental results show that the Fisher's method is faster than Hurtgen's while the quality of decoded image (PSNR) is equivalently comparable in these methods.","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116789978","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":"Stability of linear circuits with interval data: A case study","authors":"Z. Garczarczyk","doi":"10.1007/978-3-642-34560-9_19","DOIUrl":"https://doi.org/10.1007/978-3-642-34560-9_19","url":null,"abstract":"","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121686303","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}
Jianquan Lu, J. Kurths, Nariman Mahdavi, Jinde Cao
{"title":"Impulsive control for the synchronization of stochastic dynamical networks","authors":"Jianquan Lu, J. Kurths, Nariman Mahdavi, Jinde Cao","doi":"10.1109/INDS.2011.6024785","DOIUrl":"https://doi.org/10.1109/INDS.2011.6024785","url":null,"abstract":"Synchronization in dynamical networks is normally realized via the information exchanging along the interconnections of the nodes, and it makes the final synchronous state difficult to predict. This paper is devoted to studying the stabilization problem for complex dynamical networks in the presence of Brownian motion noise. Pinning state feedback controllers have been proved to be effective for the stabilization of complex dynamical networks with state-coupling. In this paper, we show that pinning impulsive controllers are also effective for the stabilization of dynamical networks with state-coupling, although state-coupling and impulsive controllers belong to different kinds of controllers. An algorithm is presented to select the nodes which should be controlled at each impulsive constants. The constraints on the lower and upper bounds of the impulsive interval are removed, which makes the results much less conservative. Numerical simulations are also given to demonstrate the theoretical results.","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124080277","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}
C. Chitu, Jochen Lackner, M. Horn, H. Waser, Markus Kohlbock
{"title":"A robust and optimal LQR controller design for Electric Power Steering system","authors":"C. Chitu, Jochen Lackner, M. Horn, H. Waser, Markus Kohlbock","doi":"10.1109/INDS.2011.6024779","DOIUrl":"https://doi.org/10.1109/INDS.2011.6024779","url":null,"abstract":"This paper presents a Linear Quadratic Regulator (LQR) employed to improve performance of an Electric Power Steering (EPS) system. Generally, EPS is a full electric system having an electric motor which provides the assist torque on the steering mechanism in order to reduce the workload and to enhance the steering feel of the driver during steering process. Three main technical areas are described in this paper. First, the principle and structure of EPS are presented including the dynamic model. Second, LQR technique is employed to derive an optimal controller for the EPS system. Finally, the combined tools of Matlab/Simulink and dSPACE provide the environment for modeling the controller in software and applying it to the actual hardware via a digital signal processing board based on the DS1401 MicroAutoBox. Comparison and analysis between the simulation results and dSPACE hardware results are discussed.","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129030110","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":"Stability analysis of recurrent neural networks with time-varying activation functions","authors":"M. Mostafa, W. Teich, J. Lindner","doi":"10.1109/INDS.2011.6024816","DOIUrl":"https://doi.org/10.1109/INDS.2011.6024816","url":null,"abstract":"The dynamical behavior of a single layer recurrent neural network without hidden neurons has been investigated intensively and its stability has been analyzed using the Lyapunov method. Since the pioneering work of Hopfield many modified versions of the original Hopfield network have been suggested and their stability has been proven. In this paper we generalize these results to the case of a time-varying activation function, which is very useful in the field of parameter estimation and communications.","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114590338","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}
Fadi Al Machot, A. Mosa, Kosai Dabbour, A. Fasih, Christopher Schwarzlmuller, Mouhanndad Ali, K. Kyamakya
{"title":"A novel real-time emotion detection system from audio streams based on Bayesian Quadratic Discriminate Classifier for ADAS","authors":"Fadi Al Machot, A. Mosa, Kosai Dabbour, A. Fasih, Christopher Schwarzlmuller, Mouhanndad Ali, K. Kyamakya","doi":"10.1109/INDS.2011.6024783","DOIUrl":"https://doi.org/10.1109/INDS.2011.6024783","url":null,"abstract":"This paper presents a real-time emotion recognition concept of voice streams. A comprehensive solution based on Bayesian Quadratic Discriminate Classifier(QDC) is developed. The developed system supports Advanced Driver Assistance Systems (ADAS) to detect the mood of the driver based on the fact that aggressive behavior on road leads to traffic accidents. We use only 12 features to classify between 5 different classes of emotions. We illustrate that the extracted emotion features are highly overlapped and how each emotion class is effecting the recognition ratio. Finally, we show that the Bayesian Quadratic Discriminate Classifier is an appropriate solution for emotion detection systems, where a real-time detection is deeply needed with a low number of features.","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129346761","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":"Chaotic modulation based on the combination of CPPM and CPWM","authors":"N. X. Quyen, Vu Van Yem, T. Hoang","doi":"10.1109/INDS.2011.6024801","DOIUrl":"https://doi.org/10.1109/INDS.2011.6024801","url":null,"abstract":"In this paper, we propose a novel method of chaotic modulation based on the combination of Chaotic Pulse Position Modulation (CPPM) and Chaotic Pulse Width Modulation (CPWM). This combination looks very promising for the improvement of information privacy in chaos-based digital communications. In the CPPM+CPWM method, each pulse is a chaotic symbol which carries binary information of two bits corresponding to its position and width, where the position is determined by the interval between rising edge of the current pulse compared to the previous one and the width is determined by the duration between the rising edge and the falling edge of the same pulse. This offers the increase of bit rate, bandwidth efficiency and privacy in comparison with the method of CPPM. The schemes of Modulation and Demodulation (MoDem) of CPPM+CPWM are proposed, designed and analyzed that based on the conventional schemes of CPPM. The numerical simulation in time domain of the system of CPPM+CPWM MoDem is implemented in Matlab/Simulink.","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132165800","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":"Computer-aided extraction of small-signal model parameters of heterojunction bipolar transistors","authors":"E. Gadjeva, M. Hristov","doi":"10.1109/INDS.2011.6024817","DOIUrl":"https://doi.org/10.1109/INDS.2011.6024817","url":null,"abstract":"An approach to parameter extraction of small-signal model of heterojunction bipolar transistors (HBT's) is proposed in the present paper. It is based on S-parameter measurements. Exact closed-form equations are used for the direct extraction of circuit elements. The method is characterized by its simplicity and ease of implementation. The Cadence PSpice simulator and the graphical analyzer Cadence Probe are used to automate the extraction procedure. The parameter extraction of intrinsic elements of the model is realized using macro-definitions in Probe. The corresponding macros in the graphical analyzer Probe are presented realizing the proposed extraction procedure.","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122259127","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":"“Multi-moment” nonlinear filtering of chaos","authors":"V. Kontorovich, Z. Lovtchikova","doi":"10.1109/INDS.2011.6024826","DOIUrl":"https://doi.org/10.1109/INDS.2011.6024826","url":null,"abstract":"It was shown in earlier works of the authors that approximate nonlinear filtering algorithms for chaos demonstrate very good filtering accuracy in low SNR scenarios. This paper is the sequel of the research related to statistical properties of chaotic signals and approximate nonlinear filtering algorithms of chaos. In this paper a novel filtering approach is presented; the proposed approach is called as “multi-moment” for the following improvement of the filtering accuracy for low SNR. The general way for synthesis of the optimum and quasi-optimum filtering algorithms based on the criteria of maximum a-posteriori probability is presented, and in the following it is called as modified Stratonovich-Kushner equations (SKE) for a-posteriori Probability Density Function (PDF) and a-posteriori characteristic function. Equations for a-posteriori cumulants are presented hereafter as well and based on those equations was developed the modified EKF algorithm, based on two — moment statistics. The later demonstrates rather opportunistic characteristics for filtering accuracy practically with the same algorithm complexity as the classic EKF","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130338938","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":"Time-of-flight estimation using synchronized chaotic systems","authors":"Christian F. Wallinger, M. Brandner","doi":"10.1007/978-3-642-34560-9_4","DOIUrl":"https://doi.org/10.1007/978-3-642-34560-9_4","url":null,"abstract":"","PeriodicalId":117809,"journal":{"name":"Proceedings of the Joint INDS'11 & ISTET'11","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125616790","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}