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检索条件"任意字段=6th IAPR International Conference on Pattern Recognition in Bioinformatics"

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pattern recognition techniques applied to electric power signal processing

Pattern recognition techniques applied to electric power sig...

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international conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)

作者： Ghazi Bousaleh Mohamad Darwiche Fahed Hassoun Lebanese University Saida Lebanon Eseo Institute of Science and Technology Angers France France Telecom Nantes France

We propose in this paper an approach whose main objective is to detect disturbances that affect an electric power signal. the method allows us to locate the time occurrence of these disturbances. the signal processing consists of determining two distributions that are based on the energy of the wavelet signal decomposition: the deviation distribution and the deformation distribution. theses distributions are a signature of the disturbance and are able to provide an identification of the type of the problem. the method has been developed using the analysis by the Discrete Wavelet Transform (DWT). the electrical signal is decomposed into several levels by DWT. the different waveforms resolution levels allows us to detect any deviations from the sane signal. the energy distributions data obtained in the first step will be used as feature vectors for training an artificial neural network (ANN) with multilayer perceptrons (MLPs) and support vector machines (SVMs) to classify the Power Quality Disturbance (PQD).

关键词： Signal resolution Discrete wavelet transforms Harmonic analysis Energy resolution Power quality

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Rule-Based Approaches for Equivalence Checking of SpecC Programs

Rule-Based Approaches for Equivalence Checking of SpecC Prog...

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ACM and IEEE international conference on Formal Methods and Models for Co-Design (MEMOCODE)

作者： Subash Shankar Masahiro Fujita CUNY City University of New York NY USA University of Tokyo Tokyo Japan

this paper describes a rule-based approach for equivalence checking of reactive systems. the approach is based on new types of dependence and flow graphs that are more appropriate for reactive languages than traditional notions intended for transformational languages. Equivalence rules utilizing this static dependence and flow information are derived from language semantics. the rules are then applied in a bottom-up fashion, corresponding to the structures of the programs being checked, until equivalence is shown. A prototype toolset has been implemented, and results indicate speedups of several orders of magnitude over more traditional equivalence checkers. the paper describes our approach and tools, and also outlines how our methods can be used in a general equivalence checking system.

关键词： Prototypes Embedded system Software engineering Hardware Cities and towns Flow graphs System-level design Control system synthesis System-on-a-chip pattern recognition

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A new class of high-order neural networks with nonlinear decision boundaries

A new class of high-order neural networks with nonlinear dec...

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international conference on Neural Information Processing

作者： A. Bouzerdoum School of Engineering and Mathematics Edith Cowan University Joondalup WA Australia

Presents a class of high-order neural networks called shunting inhibitory artificial neural networks (SIANNs) for classification and function approximation tasks. In these networks, the basic synaptic interaction is of the shunting inhibitory type. Due to the nonlinearity mediated by shunting inhibition, these networks are capable of producing classifiers with complex nonlinear decision boundaries, ranging from simple hyperplanes to very complex nonlinear surfaces. therefore, developing efficient training algorithms for these networks will simplify the design of very powerful classifiers and function approximators. In this paper, we present a training method for a feedforward SIANN based on the backpropagation algorithm and on gradient descent.

关键词： Neural networks Artificial neural networks Neurons Function approximation pattern recognition Feedforward systems Backpropagation algorithms Mathematics Australia Algorithm design and analysis

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Smooth SVM research: A polynomial-based approach

Smooth SVM research: A polynomial-based approach

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international conference on Information, Communications and Signal Processing

作者： Yan-Feng Fan De-Xian Zhang Hua-Can He College of Information Science and Engineering Henan University of Technology Zhengzhou China College of Computer Science Northwest Polytechnical University Xi'an China

Classification can be promoted by using SVM to acquire hypersurface due to the direct induction of the support vectors. In traditional SVM solution algorithms, objective function is a strictly convex unconstrained optimization problem and it is not differentiable, so it can not use the most used optimization method to solve the problem. the undifferential model could be converted into a differential one by using polynomial to approximate the plus function x + . this paper gives the procedure of using cubic spline interpolation and Hermite interpolation method to deduce the quadratic polynomial smoothing the plus function x + , it also presents a new smooth technology using circular arc polynomial. the proposed approach is experimentally evaluated in three datasets that are benchmarks for data mining applications, leading to interesting results.

关键词： Support vector machines Polynomials Interpolation Support vector machine classification Optimization methods Spline Educational institutions Data mining Neural networks pattern recognition

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Improved Time Position Estimation of Manet UAV Routing Protocol

Improved Time Position Estimation of Manet UAV Routing Proto...

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IEEE international conference on Signal and Image Processing (ICSIP)

作者： Mesmin J. Mbyamm Kiki Ibrahim Iddi Haruna Yunusa School of Electronic and Information Engineering Beihang University Beijing China School of Pattern Recognition and Intelligent Systems Beihang University Beijing China

ISBN: (纸本)9781665446006

With routing protocols that are primarily concerned with location estimates, the most significant problem is that new neighbors are acquired slowly, which results in inefficient routing decisions. Because routing and forwarding would fail if the next-hop unmanned aerial vehicle (UAV) was no longer in sight. In this paper a system that makes use of unscented Kalman filter prediction in response to improve the next-hop position in real time in order to reduce the overall performance of route forwarding is proposed. It is being introduced to the classic GPRS protocol in order to facilitate the development of new routing protocols with OPNET. the new routing protocol demonstrates a greater rise in point-to-point packet delay and forwarding rate when compared to the original routing system.

关键词： Wireless communication Self-organizing networks Autonomous aerial vehicles Routing Routing protocols Real-time systems Mathematical models

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pattern recognition for Uterine Fibroid Detection

Pattern Recognition for Uterine Fibroid Detection

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IEEE Eurasia conference on Biomedical Engineering, Healthcare and Sustainability (ECBIOS)

作者： Wai Yie Leong Yuan Zhi Leong Wai San Leong INTI International University Persiaran Perdana BBN Putra Nilai Nilai Malaysia Schneider Electric Singapore Pte. Ltd. Singapore

ISBN: (数字)9798350396133

ISBN: (纸本)9798350396140

pattern recognition plays a significant role in the detection of uterine fibroids through various medical imaging modalities such as ultrasound, Magnetic Resonance Imaging (MRI), and computed tomography (CT) scans. Ultrasound imaging helps identify hypoechoic masses within the uterine muscle layer, while MRI provides detailed images showing well-defined masses with characteristic signal intensities on Tl-weighted and T2-weighted sequences. CT imaging, though less common, is used to detect fibroids based on hypodense masses within the uterus or pelvic cavity. Computer-aided diagnosis (CAD) systems and advanced machine-learning algorithms aid in automating the detection and characterization of fibroids by analyzing image features such as shape, texture, and intensity. these pattern recognition techniques facilitate early diagnosis and accurate assessment of uterine fibroids, enabling timely management and treatment of this prevalent gynecological condition.

关键词： Ultrasonic imaging Accuracy Shape Magnetic resonance imaging Computed tomography Uterus Streaming media pattern recognition Reliability Sustainable development

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Spread Spectrum Signals Classification Based on the Wigner-Ville Distribution and Neural Network Probability Density Function Estimation

Spread Spectrum Signals Classification Based on the Wigner-V...

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Computer Information Systems and Industrial Management Applications (CISIM)

作者： Yuri Grishin Faculty of Electrical Engineering Bialystok Technical University Bialystok Poland

A spread spectrum signal recognition can be accomplished by exploiting the particular features of modulation presented in a received signal observed in presence of noise. these modulation features are the result of slight transmitter component variations and acts as an individual signature of a transmitter. the paper describes a spread spectrum signal classification algorithm based on using the Wigner-Ville distribution (WVD), noise reduction procedure with using a two- dimensional filter and the RBF neural network probability density function estimator which extracts the features vector used for the final signal classification. the numerical simulation results for the P4-coded signals are presented.

关键词： Spread spectrum communication pattern classification Neural networks Probability density function Transmitters Classification algorithms Noise reduction Filters Feature extraction Numerical simulation

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pattern recognition based Tasks and Achievements on Handwritten Bengali Character recognition

Pattern Recognition based Tasks and Achievements on Handwrit...

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international conference on Inventive Computation Technologies (ICICT)

作者： Apash Roy Debayani Ghosh Lovely Professional University Jalandhar Punjab India Chalmers University of Technology Sweden

ISBN: (数字)9781728185019

ISBN: (纸本)9781728185026

Bengali, is not only a major language in two states West Bengal, and Tripura of India, but it is the main language of an Entire country Bangladesh. Having such large application areas of Bengali language, and with the evolution of automation, machine learning, and trending technological development, it is also high time to make a complete product which can easily and efficiently recognize Bengali handwritten characters. Research in this area is attracting attention day by day, and there are the obvious reasons. Application area of such Bengali handwritten character recognition system is undoubtedly very high, but unfortunately, there is not such success in research, which can produce a complete operational system that can be commercialized or practically implemented in day to day life. the current work is a study of the different tasks to be done along with achievements throughout the last decade for different tasks in the field of handwritten Bengali character recognition.

关键词： Handwriting recognition Text recognition Machine learning Tools Feature extraction Character recognition Task analysis

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Extracting key challenges in achieving sobriety through shared subspace learning 12th

Extracting key challenges in achieving sobriety through shar...

引用

12th international conference on Advanced Data Mining and Applications, ADMA 2016

作者： Harikumar, Haripriya Nguyen, thin Rana, Santu Gupta, Sunil Kaimal, Ramachandra Venkatesh, Svetha Centre for Pattern Recognition and Data Analytics Deakin University Geelong Australia Computer Science and Engineering Department Amrita University Kollam India

ISBN: (纸本)9783319495859

Alcohol abuse is quite common among all people without any age restrictions. the uncontrolled use of alcohol affects both the individual and society. Alcohol addiction leads to a huge increase in crime, suicide, health related problems and financial crisis. Research has shown that certain behavioral changes can be effective towards staying abstained. the analysis of behavioral changes of quitters and those who are at the beginning phase of quitting can be useful for reducing the issues related to alcohol addiction. Most of the conventional approaches are based on surveys and, therefore, expensive in both time and cost. Social media has lend itself as a source of large, diverse and unbiased data for analyzing social behaviors. Reddit is a social media platform where a large number of people communicate with each other. It has many different sub-groups called subreddits categorized based on the subject. We collected more than 40,000 self reported user’s data from a subreddit called ‘/r/stopdrinking’. We divide the data into two groups, short-term with abstinent days less than 30 and long-term abstainers with abstinent days greater than 365 based on badge days at the time of post submission. Common and discriminative topics are extracted from the data using JS-NMF, a shared subspace non-negative matrix factorization method. the validity of the extracted topics are demonstrated through predictive performance. © Springer international Publishing AG 2016.

关键词： Non-negative matrix factorization

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Development and preliminary testing of a flexible control system for powered knee-ankle prostheses

Development and preliminary testing of a flexible control sy...

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IEEE/RAS-EMBS international conference on Biomedical Robotics and Biomechatronics (BioRob)

作者： Ann M. Simon Kimberly A. Ingraham John A. Spanias Aaron J. Young Levi J. Hargrove Department of Physical Medicine and Rehabilitation Northwestern University Chicago IL USA Rehabilitation Institute of Chicago Chicago IL USA Department of Mechanical Engineering University of Michigan Ann Arbor MI USA Department of Biomedical Engineering Northwestern University Evanston IL USA Human Neuromechanics Laboratory University of Michigan Ann Arbor MI USA

ISBN: (纸本)9781509032884

Recently developed motorized lower limb prostheses which provide joint power at the knee and/or ankle have been shown to assist users in performing a variety of ambulation tasks. Control of these devices, specifically creating seamless, natural, and accurate mode transitions, is challenging. the control system also needs to allow users the flexibility to perform these tasks with a wide range of variability. the goal of this study was to develop and test a flexible control system for a powered knee-ankle prosthesis. Specifically, a pattern recognition system was trained to recognize the transitions between six modes (standing, level-ground walking, ramp ascent, ramp descent, stair ascent, and stair descent) at various discrete time points during the gait cycle. Six transfemoral users were successful performing a variety of ambulation tasks including climbing a 3- and 4-step staircases, performing walking and standing transitions to and from the staircases, approaching the stairs and ramps at various angles, and ambulating at various speeds. Offline classification results demonstrate that system error rates 1.6% [1.0%], mean [standard deviation], at heel contact and 0.5% [0.2%] at toe off. the results of this study are encouraging and provide another step towards a clinically viable lower limb intent recognition system for a powered knee-ankle prosthesis.

关键词： Legged locomotion Prosthetics Steady-state Knee Mechanical sensors Performance evaluation pattern recognition

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