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2012 International Conference on Information Security and Intelligent Control最新文献

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Machine learning algorithms for data categorization and analysis in communication 通信中数据分类和分析的机器学习算法
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449693
Tan Xian
{"title":"Machine learning algorithms for data categorization and analysis in communication","authors":"Tan Xian","doi":"10.1109/ISIC.2012.6449693","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449693","url":null,"abstract":"Machine learning and pattern recognition contains well-defined algorithms with the help of complex data, provides the accuracy of the traffic levels, heavy traffic hours within a cluster. In this paper the base stations and also the noise levels in the busy hour can be predicted. 348 pruned tree contains 23 nodes with busy traffic hour provided in east Godavari. Signal to noise ratio has been predicted at 55, based on CART results. About 53% instances provided inside the cluster and 47% provided outside the cluster. DBScan clustering provided maximum noise from srikakulam. MOR (Number of originating calls successful) predicted as best associated attribute based on Apriori and Genetic search 12:1 ratio.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128841025","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
A matrix algebra for the linear complexity of periodic sequences 周期序列线性复杂度的矩阵代数
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449697
Chingwo Ma
{"title":"A matrix algebra for the linear complexity of periodic sequences","authors":"Chingwo Ma","doi":"10.1109/ISIC.2012.6449697","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449697","url":null,"abstract":"A matrix algebra is presented for the linear complexity of periodic sequences over finite fields. An algorithm is developed to compute the rank of the circulant matrices and it can be viewed as a matrix formulation of Blackburn's algorithm. The rank-nullity property is shown precisely between the pseudocirculant matrices and the Hasse matrices.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"120 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121324105","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
Visual saliency based mobile images categorization using sparse representation on cloud computing 基于云计算稀疏表示的视觉显著性移动图像分类
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449748
Duan-Yu Chen, Meng-Kai Hsieh, Junghsi Lee
{"title":"Visual saliency based mobile images categorization using sparse representation on cloud computing","authors":"Duan-Yu Chen, Meng-Kai Hsieh, Junghsi Lee","doi":"10.1109/ISIC.2012.6449748","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449748","url":null,"abstract":"Given the increasing number of mobile platforms, a key technical challenge is how to provide an optimal photo browsing experience given the limited screen size available on mobile devices. This paper proposes a novel technique for intelligent mobile image categorization on mobile platform to reduce computation complexity based on cloud computing. In this technique, captured images are analyzed to detect visual salient area, which is then classified in real-time using sparse representation. Mathematically, the derived algorithm regards the salient regions as the dictionary in sparse representation, and selects the salient regions that minimize the residual output error iteratively, thus the resulting regions have a direct correspondence to the performance requirements of the given problem. Experimental results obtained using extensive datasets captured under uncontrolled conditions show the proposed system effectively manages mobile images using sparse representation on cloud computing.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134442000","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
Face recognition by Principle Vectors Subspace 基于主向量子空间的人脸识别
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449765
Lingling Peng, Qiong Kang
{"title":"Face recognition by Principle Vectors Subspace","authors":"Lingling Peng, Qiong Kang","doi":"10.1109/ISIC.2012.6449765","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449765","url":null,"abstract":"Principle component analysis (PCA) and its improved models have found wide applications in pattern recognition field. PCA is a common method applied to dimensionality reduction and feature extraction. Its goal is to choose a set of projection directions to represent original data with the minimum MSE. In this paper, we propose a Principle Vectors Subspace (PVS) for face recognition. Firstly, we use PCA to extract each dimension vector, so we attain a subspace which conclude principle vectors of each dimension. Then we use a base of this subspace to represent a test sample and classify it by Nearest Neighbor classifier. In order to evaluate the performance of our method, we make a comparison of PCA, KPCA and our method on the ORL and AR databases. The experimental results show our method take a good performance.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134572865","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
Genetic algorithm using discrete cosine transformation for fractal image encode 遗传算法利用离散余弦变换对分形图像进行编码
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449768
Ming-Sheng Wu
{"title":"Genetic algorithm using discrete cosine transformation for fractal image encode","authors":"Ming-Sheng Wu","doi":"10.1109/ISIC.2012.6449768","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449768","url":null,"abstract":"In this paper, a genetic algorithm using discrete cosine transformation is proposed to speedup the fractal encoder. By using discrete cosine coefficients, the optimal Dihedral transformation between the range block and domain block can be found to save a large number of the redundant MSE computations. Moreover, combining the discrete cosine transformation technique with the genetic algorithm, the length of the chromosome is shortened to smooth the landscape of the search space since the optimal Dihedral index was determined. Hence the encode velocity is accelerated further. Experiments show that the encoding speed of the proposed method is 100 times faster than that of the full search method, while the cost is the 1.1dB loss at the retrieved image quality.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"766 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123002857","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
Practical Homography-based perspective correction method for License Plate Recognition 一种实用的基于同形图的车牌识别视角校正方法
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449740
Shih-Jui Yang, C. C. Ho, Jian-Yuan Chen, Chuan-Yu Chang
{"title":"Practical Homography-based perspective correction method for License Plate Recognition","authors":"Shih-Jui Yang, C. C. Ho, Jian-Yuan Chen, Chuan-Yu Chang","doi":"10.1109/ISIC.2012.6449740","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449740","url":null,"abstract":"Automatic License Plate Recognition (ALPR) can avoid faults of manual license plate recognition, like pressing keys wrongly or too slowly. But, there are inevitably some vertical and horizontal perspective distortions between the license plates and ALPR's cameras, degrading the accuracy and reliability of ALPR significantly. This paper proposes a Homography-based perspective correction method for ALPR. Especially, in order to overcome three variation issues residing in ALPR systems and applications frequently, this paper further proposes three practical auxiliary methods: 1) YCbCr color space differentiation to overcome the background color variation (e.g., white, green, or red) on license plates, 2) sub-regional histogram equalization to overcome the frame contrast variation between the license plate surrounding and the vehicle body (e.g., silver and white-like), 3) diagonal- and Houghlines-scanning four-corner localization to overcome the frame shape variation of license plates (occluded by stains or reflections). Experimental results show that the license plate perspective correction rate of the proposed method for automotive and motorcycle license plate database are 98% and 94%, respectively. And, after corrected by the proposed method, license plate recognition rate for automotive and motorcycle license plate database are 97% and 89%, respectively. The proposed perspective correction method for ALPR is more useful and reliable at solving real-world perspective distortion issues than conventional ones.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122057322","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
Two dimensional to three dimensional image conversion system design of digital archives for classical antiques and document 古典古董与文献数字档案二维到三维图像转换系统设计
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449745
B. Lin, Lili Chang, Sheng-Siang Huang, De-Wei Shen, Yu-Cheng Fan
{"title":"Two dimensional to three dimensional image conversion system design of digital archives for classical antiques and document","authors":"B. Lin, Lili Chang, Sheng-Siang Huang, De-Wei Shen, Yu-Cheng Fan","doi":"10.1109/ISIC.2012.6449745","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449745","url":null,"abstract":"In this paper, we proposed an auto-generated two dimensional to three dimensional conversion system. We divided this architecture into two parts: In part one, we use Sobel edge detection [1] to segement the object for image of digital archives for classical antiques and document. Then, we used the Zhang and Suen thinning [2] to reduce the width of object's boundary to single pixel. After thinning, the image would be changed into cellular grid that likes a vein of leaf. In part two, we filled the corresponding depth values in the objects of the grid image, because the lower position of Chinese painting mostly looks nearer, and the higher one mostly looks farther. So we used the depth map from near to far. Finally, we used the χ-shaped scan path to fill the depth values in the grid image.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125735452","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: 4
A proposal of sensor data collection system using mobile relay nodes 一种基于移动中继节点的传感器数据采集系统方案
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449694
Hu Yin, Y. Lv
{"title":"A proposal of sensor data collection system using mobile relay nodes","authors":"Hu Yin, Y. Lv","doi":"10.1109/ISIC.2012.6449694","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449694","url":null,"abstract":"In recent years, the demand for wireless sensor network that present valuable information to users is increasing rapidly. However, in achieving wireless sensor network, the communication channel from the nodes to the data centers purchase a problem, especially in respect to the cost of furnishing IP/mobile networks for each and every one of the nodes. Many researches attempt to tackle this problem, but they generally limit either the types of sensors used or the distances among the sensors. In this paper, we propose a new sensor data collection system model in which mobile relay nodes transport the sensor data to the data center. We ran simulations under conditions imitating the real world to verify the practicality of the proposed system, This simulation uses data accumulated from traffh surveys to closely imitate pedestrians in the real world. We evaluated that the proposed system has sufficient ability for use in urban sensing systems that are not under the real-time constraint.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122406503","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: 4
A congestion-relief method for wormhole-routed 2D mesh networks 虫孔路由二维网格网络的拥塞缓解方法
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449711
Wen-Fong Wang, Yi-Jhou Shen
{"title":"A congestion-relief method for wormhole-routed 2D mesh networks","authors":"Wen-Fong Wang, Yi-Jhou Shen","doi":"10.1109/ISIC.2012.6449711","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449711","url":null,"abstract":"With an increased number of processing elements on a chip, the transmission performance of traditional bus-based architecture attains to a bottleneck for system on a chip. To solve this issue, the Network-on-Chip concept was proposed. Congestion management mechanisms can be further improved performance in NoC, and they usually check congestion according to a specific message (buffer or link utilization). Nevertheless, that will lead to higher network implementation complexity such as hardware probes. In this study, we propose a method called automatic ramp control (ARC) that can improve network performance and avoid increasing network complexity. In our experiments, results show that the performance of our congestion-relief method is effective.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116320196","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
Efficient image/video dehazing through haze density analysis based on pixel-based dark channel prior 通过基于像素的暗通道先验的雾霾密度分析实现高效的图像/视频去雾
2012 International Conference on Information Security and Intelligent Control Pub Date : 2012-08-01 DOI: 10.1109/ISIC.2012.6449750
C. Yeh, Li-Wei Kang, Cheng-Yang Lin, Chih-Yang Lin
{"title":"Efficient image/video dehazing through haze density analysis based on pixel-based dark channel prior","authors":"C. Yeh, Li-Wei Kang, Cheng-Yang Lin, Chih-Yang Lin","doi":"10.1109/ISIC.2012.6449750","DOIUrl":"https://doi.org/10.1109/ISIC.2012.6449750","url":null,"abstract":"Images/videos of outdoor scenes are usually degraded by the turbid medium in the atmosphere. In this paper, a novel single image-based dehazing framework is proposed to remove haze effects from image/video, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze imaging model, we propose to accurately estimate the atmospheric light via haze density analysis. We can then accurately estimate the transmission map, followed by refining it via the bilateral filter. As a result, high-quality haze-free image can be recovered with lower computational complexity, which can be naturally extended to video dehazing.","PeriodicalId":393653,"journal":{"name":"2012 International Conference on Information Security and Intelligent Control","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127705135","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: 36
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