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2008 International Conference on Advanced Computer Theory and Engineering最新文献

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Infrared and Color Visible Image Sequence Fusion Based on Statistical Model and Image Enhancement 基于统计模型和图像增强的红外与彩色可见图像序列融合
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.69
Xiuqiong Zhang
{"title":"Infrared and Color Visible Image Sequence Fusion Based on Statistical Model and Image Enhancement","authors":"Xiuqiong Zhang","doi":"10.1109/ICACTE.2008.69","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.69","url":null,"abstract":"A novel fusion method is proposed for image sequence which based on the non-Gaussian statistical modeling of wavelet coefficients and image enhancement in IHS color space of color visible image. Firstly, the original color visible image is transformed into a perceptually decorrelated color space in order to treat the achromatic and chromatic components separately. Then, the achromatic component and infrared image are combined by a statistical fusion method based on dual tree complex wavelet transform (DT-CWT) using the generalized Gaussian distribution (GGD). The means and variances between the fused component and the original achromatic component are matched by a linear remapping for image enhancement. At last, the color space is transformed back into the RGB color space. This method not only have a superior fusion performance but also can effectively produce a high-contrast color fused image with the similar natural characteristics as the original color visible image.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133848023","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: 7
Artificial Neural Network Modeling for Efficient Photovoltaic System Design 高效光伏系统设计的人工神经网络建模
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.208
D. Paul, S. Mandal, D. Mukherjee, S. Chaudhuri
{"title":"Artificial Neural Network Modeling for Efficient Photovoltaic System Design","authors":"D. Paul, S. Mandal, D. Mukherjee, S. Chaudhuri","doi":"10.1109/ICACTE.2008.208","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.208","url":null,"abstract":"Efficiency and certainty of payback have not yet attained desired level for solar photovoltaic energy systems. Despite huge development in prediction of solar radiation data, a clear disconnect in extraction and effective engineering utilization of pertinent information from such data is acting as a major roadblock towards penetration of this emerging technology. It is crucial to identify and optimize the most significant statistics representing insolation availability by a solar PV installation for all necessary engineering and financial calculation. A MATLAB program has been used to build the annual frequency distribution of hourly insolation over any module plane at a given site location. Descriptive statistical analysis of such distributions is done through MINITAB. To make the analysis more meaningful, composite frequency distribution for a Building Integrated Photo Voltaic (BIPV) set up has been considered, which is formed by weighted summation of insolation distributions for different module planes used in the installation. The most influential statistics of the composite distribution have been optimized through Artificial Neural Network Computation. This novel approach is expected to be a very powerful tool for the BIPV system designers.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115380539","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: 15
A Frequent Item Graph Approach for Discovering Frequent Itemsets 一种发现频繁项集的频繁项图方法
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.129
A.Vishnu Kumar, R. Wahidabanu
{"title":"A Frequent Item Graph Approach for Discovering Frequent Itemsets","authors":"A.Vishnu Kumar, R. Wahidabanu","doi":"10.1109/ICACTE.2008.129","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.129","url":null,"abstract":"Efficient algorithms to discover frequent patterns are crucial in data mining research. Finding frequent item sets is computationally the most expensive step in association rule discovery and therefore it has attracted significant research attention. In this paper, we present a more efficient approach for mining complete sets of frequent item sets. It is a modification of FP-tree. The contribution of this approach is to count the frequent 2-item sets and to form a graphical structure which extracts all possible frequent item sets in the database. We present performance comparisons for our algorithm against FP-growth algorithm.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115538043","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: 12
Why Computers Are Not Displaying Intelligence 为什么计算机不显示智能
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.211
S. Deb
{"title":"Why Computers Are Not Displaying Intelligence","authors":"S. Deb","doi":"10.1109/ICACTE.2008.211","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.211","url":null,"abstract":"Despite sincere efforts amongst the machine intelligence community across the globe, development of humanlike intelligent machines remains a distant goal. Why machine intelligence continued to remain elusive so far? What went wrong? Is there any need to have a re look at the entire effort? Should we redefine the goal of machine intelligence? Are nanotechnology & advanced level computation like quantum computing the answers to machine intelligence? This paper will make an attempt to examine and decipher the above.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116336398","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
Hybrid Energy-Efficient Approach for Target Tracking via Sensor Networks 基于传感器网络的混合节能目标跟踪方法
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.185
E. Monsef, S. Subramanian
{"title":"Hybrid Energy-Efficient Approach for Target Tracking via Sensor Networks","authors":"E. Monsef, S. Subramanian","doi":"10.1109/ICACTE.2008.185","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.185","url":null,"abstract":"This paper considers problem of target tracking in wireless sensor networks. In particular we aim to integrate the concept of tracking algorithm with heuristic approach to reduce energy consumption as well as gain efficient accuracy. Based on the fact that the movements of the tracked objects are sometimes predictable. In this work we intend to predict the next position of intruding object utilizing Prediction-Based method. Therefore wake-up signals are sent only to predicted neighbor nodes. The algorithm has been compared with other two schemes Direct Communication and OCO by means of simulation tools. Our Results show that our approach consumes less energy while achieves optimal accuracy. In nutshell we have integrated image processing, structure-based and heuristic approach to achieve efficient tracking scheme in wireless sensor networks.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129503142","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
Direct Hallucination: Direct Locality Preserving Projections (DLPP) for Face Super-Resolution 直接幻觉:直接局域保留投影(DLPP)在人脸超分辨率中的应用
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.198
Saarah Ahmed, N. I. Rao, Abdul Ghafoor, Ahmed Muqeem Sheri
{"title":"Direct Hallucination: Direct Locality Preserving Projections (DLPP) for Face Super-Resolution","authors":"Saarah Ahmed, N. I. Rao, Abdul Ghafoor, Ahmed Muqeem Sheri","doi":"10.1109/ICACTE.2008.198","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.198","url":null,"abstract":"Faces captured by surveillance cameras are often of very low resolution. This significantly deteriorates face recognition performance. Super-resolution techniques have been proposed in the past to mitigate this. This paper proposes the novel use of a Locality Preserving Projections (LPP) algorithm called Direct Locality Preserving Projections (DLPP) for super resolution of facial images, or ldquoface hallucinationrdquo in other words. Because DLPP doesnpsilat require any dimensionality reduction preprocessing via Principle Component Analysis (PCA), it retains more discriminating power in its feature space than LPP. Combined with non-parametric regression using a generalized regression neural network (GRNN), the proposed work can render high-resolution face image from an image of resolution as low as 8x7 with a large zoom factor of 24. The resulting technique is powerful and efficient in synthesizing faces similar to ground-truth faces. Simulation results show superior results compared to other well-known schemes.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129675108","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
Effective Iframe-Based Strategy for Processing Dynamic Data in Embedded Browser 基于iframe的嵌入式浏览器动态数据处理策略
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.23
Yao Qiong, Sun Peng, Hu Linlin, Zhu Xiaoyong, Ni Hong
{"title":"Effective Iframe-Based Strategy for Processing Dynamic Data in Embedded Browser","authors":"Yao Qiong, Sun Peng, Hu Linlin, Zhu Xiaoyong, Ni Hong","doi":"10.1109/ICACTE.2008.23","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.23","url":null,"abstract":"Embedded browser is widely utilized to display user interface in embedded systems. In the mechanism of embedded browser, a difficult problem is how to process and display the dynamic data in Web page flexibly. In order to resolve the problem, an effective iframe-based strategy for processing dynamic data in embedded browser is proposed and presented in this paper. Furthermore, a solution based on this strategy is implemented on embedded system. The experimental results show that compared with traditional solution, the novel one decreases the complexity of processing dynamic data and increases the response velocity of embedded browser conspicuously.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"229 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127296956","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
Production Process Planning Model with Geometric Accessibility and Case Learning 具有几何可及性和案例学习的生产过程规划模型
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.97
Wenfa Hu
{"title":"Production Process Planning Model with Geometric Accessibility and Case Learning","authors":"Wenfa Hu","doi":"10.1109/ICACTE.2008.97","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.97","url":null,"abstract":"Production process planning is fundamental to start a product manufacture or a building construction. But the production process planning needs so many experiences and skills that a planner is difficult to bring out an excellent process plan in limited time.This paper presents an innovative process planning model for assembled production. The basic idea of this model is to generate process plans for an assembly by systematically analysis of its geometric accessibility and case learning. Disassembly and assembly process is automatically derived from geometric accessibility analysis by reasoning, and case learning provides knowledge to improve accuracy of assembly process.In order to verify this model, a pilot system is implemented to automate process planning in building construction, which is similar to assembly of products.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130002371","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
Current Pumping and Voltage Pulling to Maximize Speed: An Application to a 2.5 Gsps Flash ADC in 350 nm Standard CMOS Process 电流泵送和电压拉取以最大速度:在350nm标准CMOS工艺中2.5 Gsps闪存ADC的应用
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.218
B. Sivakumar, S. Thirunakkarasu
{"title":"Current Pumping and Voltage Pulling to Maximize Speed: An Application to a 2.5 Gsps Flash ADC in 350 nm Standard CMOS Process","authors":"B. Sivakumar, S. Thirunakkarasu","doi":"10.1109/ICACTE.2008.218","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.218","url":null,"abstract":"As process technologies slow down in their miniaturization, system design relies more heavily on innovation rather than technology to push the limits of speed beyond that of the existing systems. Parasitic capacitances dominate the paths in which the signals traverse through the circuit and the speed of operation largely depends on the reduction of these parasitics and on how fast these parasitics could be charged or discharged. This paper presents an innovation in this regime. Two innovative techniques, current pumping and voltage pulling are shown and their application to the sample and hold, pre-amplifier and latch components of a Flash Analog-to-Digital converter (ADC) is provided; It is shown that the frequency of operation can be pushed to double the initial, to 2.5 Gsps in 0.35 um CMOS technology.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130821623","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
Digital Archiving and Data Mining of Historic Document 历史文献的数字化归档与数据挖掘
2008 International Conference on Advanced Computer Theory and Engineering Pub Date : 2008-12-20 DOI: 10.1109/ICACTE.2008.220
M. Tabrizi
{"title":"Digital Archiving and Data Mining of Historic Document","authors":"M. Tabrizi","doi":"10.1109/ICACTE.2008.220","DOIUrl":"https://doi.org/10.1109/ICACTE.2008.220","url":null,"abstract":"The development of research methodologies innovative technologies as described in this paper allows real time archival data extraction and assessment while ensuring preservation. The system establishes a new standard for electronic preservation, retrieval and research of manuscript and other materials. It uses computer-assisted technology for initial handwriting recognition of manuscript sources. This enables a search by word throughout an entire database. The data mining component of the system has been designed using lexicon, features extraction, and neural networks methods.","PeriodicalId":364568,"journal":{"name":"2008 International Conference on Advanced Computer Theory and Engineering","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123272473","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
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