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    • A Framework for Parallel Processing of Image Dataflow in Industrial Applications 

      Otwagin, Aleksej; Doudkin, Alexander (BrSTU, 2006)
      Basic algorithms and processing technologies of integrated circuit layout images are considered. The images represented as a set of frames can regard as a dataflow and the processing are perfectly suited for parallel implementation. Framework architecture for designing parallel systems of image dataflow ...

      2023-11-24

    • A Fuzzy-CMAC Based Hybrid Intuitive Approach for Biped Robot’s Adaptive Dynamic Walking 

      Sabourin, Christophe; Kurosh Madani; Bruneau, Olivier (BrSTU, 2006)
      In this paper, we have proposed a new neural network based hybrid intuitive approach for biped robot's adaptive walking. Our approach takes advantage on the one hand from a Fuzzy-CMAC based stage and on the other hand from high level intuitive control strategy involving only the regulation of the ...

      2023-11-28

    • A Modification of the FCM-CV-algorithm and Its Application for Radar Portraits Classification 

      Sadowska, Krystyna; Sharamet, Andrei (BrSTU, 2006)
      Sadowska, K. A Modification of the FCM-CV-algorithm and Its Application for Radar Portraits Classification / K. Sadowska A. Sharamet // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. – Brest : BSTU, ...

      2023-11-23

    • A Neural Network Based Speech Recognition System For Isolated Tamil Words 

      Bharath, B.; DeepaIakshmi, V.; Nelson, I. (BrSTU, 2006)
      Speech recognition is always looked upon as a fascinating field in human computer interaction. It is one of the fundamental steps towards understanding human cognition and their behavior. White most of the literature on speech recognition is based on Hidden Markov Models (HMM). This paper presents a ...

      2023-11-24

    • A Neural NetWork for Combinatorial Problems of Optimization 

      Golovko, V.; Derechennik, S. (BPI, 1999)
      A neural network architecture for the optimization problems is discussed. It is a feedforward neural network with fixed weights. Such approach consists in definition the weights, using a priori knowledge. This paper describes the neural network for solving optimization tasks.

      2021-07-27

    • A Steganographic Method Using Learning Vector Quantization 

      Gorbashkо, Larisa; Golovko, Vladimir (BrSTU, 2006)
      The new technique for embedding image data is presented. The message is subjects to vector quantizer by neural network. The modified data is inserted into the coiner in the wavelet transform domain. The vector quantization enables to increase the capacity of embedded data. The experimental results ...

      2023-11-29

    • A weighting function approach for neural network nonlinear time series analysis of satellite remote sensing of rainstorms 

      Lisheng Xu; Jilie Ding; Xiaobo Deng (BrSTU, 2006)
      One of frequently used neural networks, i.e., a radial-based function network (RBFN) with Gaussian activation functions is employed to study the nonlinear time series by carrying out the characterization experiments for a GMS- 5 satellite 11 µm IR observations of rainstorm process. The proposed ...

      2023-11-27

    • Adaptive Fuzzy Control Strategies for a Zeppelin 

      Roth, H. (BPI, 1999)
      The German town Friedrichshafen has an old tradition in building airships. In the moment a follower of the legendary Zeppelin will be build using new technologies. For the control concept this is a challenge because difficult flight manoeuvres are to consider like vertical take off and landing as well ...

      2021-07-27

    • Algorithm for calculating the mutual correlation function for a video surveillance system 

      Sadykhov, Rauf Khosrovovich; Lamovsky, D. V. (BrSTU, 2006)
      This paper describes a new algorithm to calculate cross-correlation function. We combined box filtering technique for calculation of cross correlation coefficients with parallel processing using MMX/SSE technology of modem general purpose processors. We have used this algorithm for real time optical ...

      2023-11-27

    • Algorithms of Obstacle Detection for Autonomous Mobile Robot Control 

      Sadykhov, R. K.; Klimovich, A. N.; Malenko, O. G. (BPI, 1999)
      The approach of obstacle detection in this paper is considered. This approach is based on two sequential snapshot analysis. The methods of corresponding points finding are considered. We are using edge detection algorithms for this method approbation.

      2021-07-27

    • An Approach to Interplanetary Shocks Prediction Using Single ACE/EPAM Channel Data 

      Turchcnko, Volodymyr; Demchuk, Viktor; Sachenko, Anatoly; Veremeyenko, Yuri (BrSTU, 2006)
      An approach to prediction of the arrival time of interplanetary shocks using neural networks based on the data gathered from single EPAM (Electron, Proton and Alpha Monitor) channel o f NASA's ACE (Advanced Composition Explorer) spacecraft is proposed in this paper. A short description of ACE spacecraft ...

      2023-11-24

    • An Approach to Solving Face Detection Task 

      Krasnoproshin, Viktor Vladimirovich; Koblov, E. V. (BrSTU, 2006)
      In this paper a pattern-recognition based approach to solving face detection task is proposed. All main steps are revealed and algorithms for their solution are built. It is shown that these algorithms in the aggregate effectively solve the face detection task. The conditions when the exact solution ...

      2023-11-24

    • An Artificial Neural Network Based Approach to Mass Biometry Dilemma Taking advantage from IBM ZISC-036 Neuro-Processor Based Massively Parallel Implementation 

      Kurosh Madani; Abdennasser Chebira; Damien Langlois (BrSTU, 2006)
      Over the recent past years, new public security tendency to fit up public areas with biometric devices has emerged new requirements in biometric recognition dealing with what we call here "mass biometry". Ifthe main goal in "individual biometry" is to authenticate and/or identify an undesired individual ...

      2023-11-28

    • Analysis of approaches to design voice conversion systems 

      Thai Trung Kien (BrSTU, 2006)
      Analysis of approaches to design voice conversion systems is proposed in this paper. Base on analysis we give principles of voice conversion system, speech modes will be used to represent parameters of speech signal and acoustic characteristics will influence the quality of system. Moreover, we compare ...

      2023-11-27

    • Anomalies of Reflection of Acoustic Pulses from Boundary with Strong Dissipatiye Medium 

      Kostiuk, Dmitriy; Kuzavko, Y. A. (BPI, 1999)
      In given work the longitudinal acoustic waves reflection from boundary of a solid body with dissipative liquid theoretically is considered. The essential dependence of factor of signal reflection and its phase from factor of absorption of ultrasound in dissipative medium is shown. The experimental ...

      2021-07-27

    • Application of Genetic Algorithms for Solutions of the Task Is Frequent – Territorial Plannings Group Radio Electronic Equipment 

      Kulaga, V. V.; Muravjev, S. A.; Spiridonov, S. V.; Telyatnikov, R. V. (BPI, 1999)
      One from the important problems, is a problem of limited frequencyТs number between radio electronic equipment's (REE) within large group. It is necessary that all REE may operate with specific correlation of signal-noise (interference) on boundaries of their service's zones, сon sideling of electromagnetic ...

      2021-07-27

    • Applying Natural Computation to Real World Business – Selected Highlights from Cercia 

      Frayn, Colin M. (BrSTU, 2006)
      Bringing cutting-edge natural computation research into industry is a challenging task, with numerous obstacles to overcome. In this paper I describe a few selected projects that we have developed at the Centre of Excellence for Research in Computational Intelligence and Applications (Cercia) and I ...

      2023-11-29

    • Architecture of Computer Vision Software System 

      Ivkin, A.; Doudkin, A.; Sadykhov, R. (BPI, 1999)
      The software o f the Computer vision systems is complicated. The authors discuss the principles of Computer vision systems organization and propose the architecture for such software system.

      2021-07-27

    • Artificial Immune Systems for Information Security: Comparative Analysis of Negative and Positive Selections 

      Безобразов, Сергей Валерьевич (BrSTU, 2006)
      The artificial immune system is a new, perspective system for protection of computer systems from viruses. Training and selection of detectors is necessary in artificial immune system, as it prevents break-in of unnecessary detectors. This paper presents comparative analysis of two methods detectors ...

      2023-11-29

    • Artificial Intelligence and Neural Networks The Legacy of Alan Turing and John von Neumann 

      Muehlenbein, Heinz (BrSTU, 2006)
      The work of Alan Turing and John von Neumann on machine intelligence and artificial automata is reviewed. Turing's proposal to create a child machine with the ability to Ieam is discussed. Von Neumann's had doubts that with teacher based learning it will be possible to create artificial intelligence. ...

      2023-11-29