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Proceedings of 2013 3rd International Conference on Computer Science and Network Technology最新文献

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BP neural network control of single inverted pendulum 单倒立摆的BP神经网络控制
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967331
Zhang Pengpeng, Zhang Lei, Huang Yanhai
{"title":"BP neural network control of single inverted pendulum","authors":"Zhang Pengpeng, Zhang Lei, Huang Yanhai","doi":"10.1109/ICCSNT.2013.6967331","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967331","url":null,"abstract":"The BP neural network can combine with Levenberg-Marquardt algorithm, which effectively overcomes the disadvantages of traditional neural network such as slow convergence speed, always converging to local minimum point and poor stability. Neural network capture the data of inverted pendulum with LQR optimal control method, set up multilayer forward feedback neural network. We through matlab simulate the control system to get the each state variable and control response curve of Single inverted pendulum. Experimental results show that the improved BP neural network can successfully control the inverted pendulum and have faster speed of control response and good stability than LQR optimal control.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134223209","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}
引用次数: 6
The research of feature extraction based on MFCC for speaker recognition 基于MFCC的说话人识别特征提取研究
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967289
Zhang Wanli, Liang Guoxin
{"title":"The research of feature extraction based on MFCC for speaker recognition","authors":"Zhang Wanli, Liang Guoxin","doi":"10.1109/ICCSNT.2013.6967289","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967289","url":null,"abstract":"The feature extraction has proved to a primary issue of speaker recognition that represent the personality of the speaker from speech signals. In the paper, a new approach is presented for speaker recognition using the improved Mel frequency cepstral coefficients (MFCC). The experimental database consists of 30 speakers, 15 male and 15 female, collected in a sound proof room. The result of this experiment certificates that the improved Mel frequency cepstral coefficients derived parameters perform better than traditional Mel frequency cepstral coefficients based on hidden Markov models.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134503215","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}
引用次数: 26
The design and implementation of resource monitoring for cloud computing service platform 云计算服务平台资源监控的设计与实现
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967104
Lei Xiaojiang, Shang Yanlei
{"title":"The design and implementation of resource monitoring for cloud computing service platform","authors":"Lei Xiaojiang, Shang Yanlei","doi":"10.1109/ICCSNT.2013.6967104","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967104","url":null,"abstract":"In recent years, the technology of Cloud Computing has been developed rapidly. It makes IT infrastructure available as a service through the network. Using Cloud Computing, users can find a new effective solution for building systems and applications according to their demands. How to make the existing services reliably run on the cloud platform, and satisfy the high scalability and availability requirements becomes a hot topic. In this paper, we propose a Cloud Computing Service Platform based on OpenStack which supports service management, auto-scaling, security control and high availability, etc. To achieve the effective management of resources and ensure the quality of service, we implement the resource monitoring subsystem. It can monitor performance metrics CPU Utilization, Memory Usage and Network I/O of physical and virtual resource like. The persistent data can be used by the resource management subsystem and alarm subsystem.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131583695","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}
引用次数: 5
A novel and blind detection scheme for asymmetric PCMA system 一种新的非对称PCMA系统盲检测方案
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967240
Ping-hua Mo, Xiao-xing Fan, Ling You
{"title":"A novel and blind detection scheme for asymmetric PCMA system","authors":"Ping-hua Mo, Xiao-xing Fan, Ling You","doi":"10.1109/ICCSNT.2013.6967240","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967240","url":null,"abstract":"A novel and blind detection scheme for the asymmetric Paired Carrier Multiple Access (PCMA) satellite communication system is proposed in the paper. Recently, the asymmetric application mode of PCMA, which is efficient and pragmatic in the VSAT network, has been studied with great interest. In our research, the symbol interference cancellation and Forward Error Correction (FEC) coding are introduced to remove the influence on the detection of weak signal instead of reconstructing the big carrier. As shown in the simulation results, the proposed scheme performs well at the low Signal to Noise Ratios (SNR) scenario which is typical in the asymmetric PCMA systems.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131654421","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}
引用次数: 1
Video saliency detection using motion saliency filter 基于运动显著性滤波器的视频显著性检测
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967283
Lei Luo, Rongxin Jiang, Xiang Tian, Yao-wu Chen
{"title":"Video saliency detection using motion saliency filter","authors":"Lei Luo, Rongxin Jiang, Xiang Tian, Yao-wu Chen","doi":"10.1109/ICCSNT.2013.6967283","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967283","url":null,"abstract":"In this paper, we propose a motion saliency filter to detect the salient regions in the video sequences. The motion vector field of each frame is first grouped into several elements with the aid of superpixel segmentation. Then, two measures are defined to rate the motion uniqueness and motion distribution of each element. The motion saliency of each element is derived as the fusion of the two measures. The final pixel-accurate saliency map is generated from a linear combination of the element motion saliency values. Moreover, the complete saliency computing process can be formulated with the N-D Gaussian filters which are with only linear computing complexity. Experimental results indicate that the proposed method could achieve better performance as compared to the state-of-the-art methods.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131810521","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}
引用次数: 0
Improved Harris corner detector algorithm for image co-registration 改进的Harris角点检测器图像配准算法
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967055
M. Safy, Guangming Shi, Zhenfeng Li, A. Amein
{"title":"Improved Harris corner detector algorithm for image co-registration","authors":"M. Safy, Guangming Shi, Zhenfeng Li, A. Amein","doi":"10.1109/ICCSNT.2013.6967055","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967055","url":null,"abstract":"Image registration is the process of removing the offset between two or more images of the same location from different angles. One of the two images is the master image and the other is the slave image. In this paper an effective algorithm is proposed to align the two images; this algorithm is based on combining both area-based methods and feature-based methods. Cross-correlation function is used to detect the coarse offset between the master image and the slave image, while the fine offset between the two images is detected by the Harris corner detector [1] and Scale-Invariant Feature Transform (SIFT) which is proposed by Lowe (1999). Random Sample Consensus (RANSAC) algorithm [2] is used to estimate the transformation model. The proposed algorithm is evaluated by using the coherence map. The results show that the proposed algorithm is more effective than using the automatic image registration methods alone [3].","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132811406","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}
引用次数: 3
Feature selection based on ReliefF and PCA for underwater sound classification 基于ReliefF和PCA的水声分类特征选择
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967149
Xiangyang Zeng, Qiang Wang, Chunlei Zhang, Huaizhen Cai
{"title":"Feature selection based on ReliefF and PCA for underwater sound classification","authors":"Xiangyang Zeng, Qiang Wang, Chunlei Zhang, Huaizhen Cai","doi":"10.1109/ICCSNT.2013.6967149","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967149","url":null,"abstract":"The performance of underwater noise classification system is highly related to the dimensions of the features and the size of the training set. However, underwater sound signals are difficult to obtain, the training sets are always in small size and the limited information are embedded in a few feature subspace. In this paper, MFCC features are extracted firstly, and then a feature selection method based on PCA and ReliefF is presented to find the most discriminating feature subset. PCA is used to project the original feature to a new feature space by maximizing the variance matrix. ReliefF method is applied to find the proper feature subset which has the maximum score. Experimental results show that our method performs well and achieves higher recognition accuracy than that of the original features in most cases.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130713067","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}
引用次数: 19
Research on the temporal fresnel diffraction field of a circle aperture illuminated by a hyperbolic secant optical pulse 双曲正割光脉冲照射圆孔时菲涅耳衍射场的研究
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967316
Huai-sheng Wang
{"title":"Research on the temporal fresnel diffraction field of a circle aperture illuminated by a hyperbolic secant optical pulse","authors":"Huai-sheng Wang","doi":"10.1109/ICCSNT.2013.6967316","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967316","url":null,"abstract":"An equation is present to analyse the temporal diffraction intensity distribution of hyperbolic secant optical femtosecond pulse which incites a circle aperture. For convenience we calculate the temporal intensity distribution of the aperture in the horizontal central axis direction. The temporal intensity distributions are connected with the radius of the circle aperture, the Fresnel number, the width and the central wavelength of the hyperbolic optical pulse. Number calculation shows that when the Fresnel number is definite, the shorter the width of the hyperbolic optical pulse, the more different the shape of the temporal Fresnel diffraction intensity distribution from the original hyperbolic optical pulse. While the width of the hyperbolic optical pulse is definite, the smaller the Fresnel number at central frequency, the less the changes of the temporal Fresnel diffraction intensity distribution.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131043453","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}
引用次数: 0
Motion control of robot based on fuzzy adaptive PID algorithm 基于模糊自适应PID算法的机器人运动控制
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967342
Lei Yanmin, Du Limin, Feng Zhibin
{"title":"Motion control of robot based on fuzzy adaptive PID algorithm","authors":"Lei Yanmin, Du Limin, Feng Zhibin","doi":"10.1109/ICCSNT.2013.6967342","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967342","url":null,"abstract":"The UP-Voyager II autonomous mobile robot as the experimental platform, a kind of fuzzy adaptive PID algorithm is presented and used for the robot's motion control. Aiming at the interferential, time varying and nonlinear problems in motion control, the design method of fuzzy adaptive PID is put forward. This method may dynamically adjust proportional coefficient (Kp), integral coefficient (Ki) and derivative coefficient (Kd) of PID algorithm by using fuzzy control. The experimental results show that this method can effectively improve the control performance and control precision of the wheel speed.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128867127","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}
引用次数: 2
A wireless channel resource allocation strategy based on grasping money game with learning mechanism 一种基于学习机制抓取金钱游戏的无线信道资源分配策略
Proceedings of 2013 3rd International Conference on Computer Science and Network Technology Pub Date : 2013-10-01 DOI: 10.1109/ICCSNT.2013.6967203
Wufeng Xiang, Yanbo Zhang, Keqiang Wang
{"title":"A wireless channel resource allocation strategy based on grasping money game with learning mechanism","authors":"Wufeng Xiang, Yanbo Zhang, Keqiang Wang","doi":"10.1109/ICCSNT.2013.6967203","DOIUrl":"https://doi.org/10.1109/ICCSNT.2013.6967203","url":null,"abstract":"With the rapid development of communication technology, channel resource becomes more scarcer than before. Grasping money game attracts more attention in the field of wireless communication as an effective tool to allocate channel resource. In this paper, we use grasping money game based on learning mechanism to allocate channel resource. Users determine next step based on their previous gain by using this mechanism. We also append some constraints to this mechanism to achieve fairness of users. We use MATLAB as simulation tool, study two users using the proposed mechanism. The simulation results show that with this mechanism the channel utilization efficiency can be greatly improved, as well as fairness of channel access can be guaranteed.","PeriodicalId":163318,"journal":{"name":"Proceedings of 2013 3rd International Conference on Computer Science and Network Technology","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134498052","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}
引用次数: 0
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