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检索条件"任意字段=2012 IEEE International Conference on Computer Science and Automation Engineering（CSAE 2012）"

共 3194 条记录，以下是671-680 订阅

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Comparison of codebooks for beamforming in limited feedback MIMO systems

Comparison of codebooks for beamforming in limited feedback ...

引用

ieee international conference on computer science and automation engineering (csae)

作者： Y. T. Wu Y. Y. Zhao F. Yu School of Communication and Information Engineering Shanghai University China School of Electronic and Information Engineer Shenzhen Polytechnic China

The quantization codebook design is an essential part of the limited feedback scheme in multiple-input multiple-output (MIMO) systems. In this paper, we provide a review of four different types of codebooks, namely, Grassmannian codebook, random vector quantization (RVQ) codebook, discrete Fourier transform (DFT) codebook and Lloyd codebook for beamforming in limited feedback MIMO systems. The design ideas of the four codebooks are discussed respectively. The codebook qualities are measured by the minimum and rootmean-square (rms) codeword distances. Performance comparison in terms of the capacity of the quantized beamforming MIMO systems based on the four different codebooks are given by simulation results.

关键词： Array signal processing Vectors MIMO Discrete Fourier transforms Transmitters Receivers Quantization

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Image segmentation method based on improved graph cut algorithm

Image segmentation method based on improved graph cut algori...

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ieee international conference on computer science and automation engineering (csae)

作者： Yuxian Li Yifu Du Bin Liu Haibin Li Qiang Zhang Yaqian Li Department of business and trade Qinhuangdao Institute of technology Qinhuangdao China Information Science and Engineering College Yanshan University Qinhuangdao China Institute of Electrical Engineering Yanshan University Qinhuangdao China

Image segmentation method based on improved graph cut algorithm is proposed in this paper to improve the speed of graph cut and solve the watershed transformation over-segmentation phenomena. First, the image is segmented into a large number of small partitions making use of the watershed transformation. Then, a simplified network graph is constructed using the partition information. Finally, the graph cut algorithm is employed to realize network graph segmentation and get the segmentation results. The experimental results indicate that the proposed algorithm not only solves the watershed transformation over-segmentation phenomena, but also improves the speed of the graph cut algorithm.

关键词： Image segmentation Partitioning algorithms Algorithm design and analysis Image edge detection Educational institutions computer vision Optimization

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Automatic brightness control of the handheld device display with low illumination

Automatic brightness control of the handheld device display ...

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ieee international conference on computer science and automation engineering (csae)

作者： Tien-Yan Ma Chin-Yang Lin Shu-Wei Hsu Che-Wei Hu Ting-Wei Hou Department of Engineering Science National Cheng Kung University Tainan Taiwan

The automatic brightness control is a common functionality on the smartphone. Either Android phones or iPhones enable this capability by using the light sensor which located on the front panel. Unfortunately, the automatic brightness control is unsatisfactory on these two types of smartphones where the user always struggles with the brightness setup to adapt to the ambient light with various intensities. In this paper, a novel automatic brightness control method which is suitable for low illumination is proposed. We take advantage of the front panel camera on the smartphone and face detection technics to capture the image of user's face and background. With low ambient brightness, the proposed scheme calculates the contrast ratio between user's face and background to determine the optimum screen brightness.

关键词： Brightness Face Lighting Smart phones Cameras Face detection Software

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Multi-robot exploration with communication requirement to a moving base station

Multi-robot exploration with communication requirement to a ...

引用

2012 ieee international conference on automation science and engineering: Green automation Toward a Sustainable Society, CASE 2012

作者： Pandey, Romit Singh, Arun Kumar Krishna, K. Madhava Department of Robotics Research International Institute of Information Technology Hyderabad India Faculty of Computer Science International Institute of Information Technology Hyderabad India

ISBN: (纸本)9781467304283

Exploration is a core and important robotics area, whose applications include search and rescue robotics, planetary exploration etc. We know that this exploration task is best performed when using a multi-robot system. In this paper, we present an algorithm for multi-robot exploration of an unknown environment, taking into account the communication constraints between the robots. The aim of the robots is to explore the whole map as a pack, without losing communication throughout. The key task for us here is to allocate the target points for multiple robots so as to maximize the area explored and minimize the time and plan paths for the robots in such a way so as to avoid obstacles. A multi-robot exploration methodology is introduced similar to depth first strategy, that samples frontier points based on a metric function. This function aims to maximize the visibility gain or information gain while minimizing the distance to be travelled to the frontier points, such that the robots are within the limited communication distance of each other. The algorithm has been tested through simulation runs of various maps and results and evaluations have been presented based on it. The results effectively demonstrate that our algorithm allows robot pack to quickly accomplish the task of exploration and without the constraint ever breaking down. Here, we also present a comparative analysis of our algorithm with another exploration approach, which finds new areas based on population generation and utility calculation over the population. The results show tangible performance gain of this method over previous methods reported on exploration with limited communication constraints. © 2012 ieee.

关键词： Industrial robots

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Real-time hand pose estimation from RGB-D sensor

Real-time hand pose estimation from RGB-D sensor

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2012 13th ieee international conference on Multimedia and Expo, ICME 2012

作者： Yao, Yuan Fu, Yun Computer Science and Engineering SUNY Buffalo NY United States School of Mechatronic Engineering and Automation Shanghai University China

ISBN: (纸本)9781467316590

Hand pose estimation in cluttered environment is always challenging. In this paper, we address the problem of hand pose estimation from RGB-D sensor. To achieve robust real-time usability, we first design a data acquisition strategy, using a color glove to label different hand parts, and collect a new training data set. Then a novel hand pose estimation framework is presented, so that feature fusion drives hand localization and hand parts classification. Moreover, instead of using articulated model, a simplified and efficient 3D contour model is designed to assist real-time implementation, which does not require a large amount of training data. Experiments show that our approach can handle real-time hand interaction in a desktop environments with cluttered background. © 2012 ieee.

关键词： Data acquisition

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Hazardous substance source seeking in a diffusion based noisy environment

Hazardous substance source seeking in a diffusion based nois...

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2012 9th ieee international conference on Mechatronics and automation, ICMA 2012

作者： Oyekan, John Gu, Dongbing Hu, Huosheng School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester CO3 4SQ United Kingdom

ISBN: (纸本)9781467312776

Recent ecological and natural disasters have highlighted the need for further research into pollution monitoring robotics. Robots must be equipped with sensors and algorithms that enable them to find the source of hazardous substances in the environment or serve as mending materials to stem a leak if the source is a leaking pipe. However, in order to do this, robots must deal with noise both in the environment and in their sensors or dynamics. This paper investigates how a gradient based technique in the form of the Berg and Brown bacteria controller algorithm could be improved to deal with such noises. Results show that the natural noise filter mechanism of the Bacterium as observed in the Berg and Brown bacteria controller can be modified or improved by using an alternative filter. © 2012 ieee.

关键词： Bacteria

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FFT-based features selection for Javanese music note and instrument identification using Support Vector Machines

FFT-based features selection for Javanese music note and ins...

引用

2012 ieee international conference on computer science and automation engineering（csae 2012）

作者： Aris Tjahyanto Yoyon K Suprapto Mauridhi Hery Purnomo Diah Puspito Wulandari the Information Systems Department Institut Teknologi Sepuluh Nopember Electrical Engineering Department Institut Teknologi Sepuluh Nopember Electrical Engineering Department InstitutTeknologi Sepuluh Nopember

Most automatic music transcription research is related with Western music,and still less for the Javanese gamelan *** this paper,we proposed a method for the features extraction,selection,and identification of gamelan note and the proper *** was an approach based on Fast Fourier Transform（FFT）,and support vector machines（SVMs） for note and instrument *** selected four spectral features（spectral centroid,two spectral rolloff,and fundamental frequency）as input for *** results show that fundamental frequency,spectral centroid,and spectral rolloff can be used to distinguish gamelan instrument with accuracy or recognition rate more than 95%.

关键词： support vector machine gamelan music transcription FFT spectral features

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Sharpness enhancement algorithm through edge information

Sharpness enhancement algorithm through edge information

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2012 5th international conference on Intelligent Computation Technology and automation, ICICTA 2012

作者： Tai, Shen-Chuan Chen, Zih-Siou Chang, Yi-Ying Liao, Tzu-Wen Chen, Juo-Chen Institute of Computer and Communication Engineering National Cheng Kung University Tainan Taiwan Department of Computer Science and Information Engineering National Chin-Yi University of Technology Taichung Taiwan Department of Electronic Engineering National Chin-Yi University of Technology Taichung Taiwan

ISBN: (纸本)9780769546377

Goal of proposed algorithm is to enhance images like the digital camera photos or, better. Some enhancement filters process too excessive that makes image look unnatural. The paper proposes an algorithm to represent obviously the detailed textures and sharpen the overall image based on perceptual approach. Then the sharpened images are merged by the edge information of original image. The experimental results show that the detailed textures can be easily observed. The whole image looks not only more sharp but also natural after applying our algorithm. © 2012 ieee.

关键词： Edge detection

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Error estimation of iterative localization based on non-linear least square residuals

Error estimation of iterative localization based on non-line...

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2012 international conference on computer science and Service System, CSSS 2012

作者： Wu, Xiaoping Tan, Shili School of Mechatronic Engineering and Automation ShangHai University Shanghai China

ISBN: (纸本)9780769547190

Deducing from a gradient matrix by non-linear least square residual localization, we formulate the errors of located nodes caused by ranging error or location error of anchors. We evaluate the error under various network topology, ranging error, location error and number of anchors, and analyze its performance. The performance shows that more anchors and less noises will help to improve the localization results. We then propose an error control method based upon Gaussian measurements to obtain the location of the free nodes and demonstrate the high efficiency of our proposed algorithm in terms of location estimation error under different conditions. © 2012 ieee.

关键词： Errors

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New Hybrid Adaptive Ant Colony Optimizaion and Self-Organizing Map for DNA Microarray Group Finding

New Hybrid Adaptive Ant Colony Optimizaion and Self-Organizi...

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2012 ieee international conference on computer science and automation engineering（csae 2012）

作者： Siriphan Wichaidit Pramote Wardkean Krit Chaiwong Wiphada Wettayaprasit Information and Communication Engineering Faculty of Industrial Technology Phetchaburi Rajabhat University Phetchaburi THANLAND Department of Telecommunication Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok THAILAND Artificial Intelligence Research Laboratory Department of Computer Science Prince of Songkla University Songkhla THAILAND

The Ant Colony Optimization (ACO) and Neural Networks have been successfully applied to several types of problem such as the difficult NP–hard problem, the optimization problem, and the knowledge discovery problem. This paper proposes the efficient hybrid improved ACO and Self– Organizing Map Neural Network (SOM) to solve the clustering problem. The advantages of this hybrid algorithm are to reduce the disadvantage of ACO and SOM and to provide high accuracy and robustness of cancer predictions. The effectiveness of this hybrid algorithm is illustrated through the results of some DNA microarray datasets and some well-known datasets such as Leukemia, Conlon Cancer, and Iris. The experimental results show that this hybrid algorithm provides high performance in clustering problems.

关键词： Ant Colony Optimization, Self-Organizing Map, DNA Microarray

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