2011 International Conference on Computational Intelligence and Communication Networks最新文献

Meta Search Engine Based on Prioritizor 基于优先级的元搜索引擎

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-12-29 DOI: 10.1109/CICN.2011.109

B. Chaurasia, S. K. Gupta, Rishi Soni

引用次数: 2

An Optimized Fast Discrete Cosine Transform Approach with Various Iterations and Optimum Numerical Factors for Image Quality Evaluation 基于多迭代和最优数值因子的图像质量快速离散余弦变换优化方法

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-12-29 DOI: 10.1109/CICN.2011.31

B. Nagaria, Mohammad Farukh Hashmi, Vijay Patidar, N. Jain

{"title":"An Optimized Fast Discrete Cosine Transform Approach with Various Iterations and Optimum Numerical Factors for Image Quality Evaluation","authors":"B. Nagaria, Mohammad Farukh Hashmi, Vijay Patidar, N. Jain","doi":"10.1109/CICN.2011.31","DOIUrl":"https://doi.org/10.1109/CICN.2011.31","url":null,"abstract":"In this paper, we have discussed the comparative study of Fast Discrete Cosine Transform (FDCT).The proposed Algorithm investigate the performance evaluation of quantization based Fast DCT and variable block size with different no of iterations based image compression Techniques. This paper has been devoted to improve image compression at low lower no of iterations and higher pixel values. The numerical analysis of such algorithms is carried out by measuring Peak Signal to Noise Ratio (PSNR), Compression Ratio (CR) and CPU processing time. In this paper we have elaborated about the compression ratio with different no iterations. We can evaluate the higher compression ratio results more effectively with lower iteration and higher pixel values than that of quality of image respectively. Image quality will be degraded at higher iteration but compression ratio is better as compare to other algorithms. Different no of iterations and quantized matrix and variable block size are chosen using FDCT for calculating MSE, PSNR and Compression Ratio for achieving the highest image quality and Compression Ratio under the same algorithm. The proposed algorithm significantly raises the PSNR and minimizes the MSE at lower iterations but as above discussion main theory is that Compression Ratio increases at higher iterations and quality of image will not be maintained at higher iterations. We have also calculated the CPU processing time for processing of image compression to find the complexity of algorithm. We have Tested this algorithm two test Images fruit with 512X512 pixel frame and Lena image with 256X256 pixel frames. Thus, we can also conclude that at the same compression ratio the difference between original and decompressed image goes on decreasing, as there is increase in image resolution.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116157973","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

Simulation and Performance Analysis of LMS and NLMS Adaptive Filters in Non-stationary Noisy Environment 非平稳噪声环境下LMS和NLMS自适应滤波器的仿真与性能分析

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI: 10.1109/CICN.2011.148

K. Borisagar, B. Sedani, G. R. Kulkarni

引用次数: 6

A Load-Balancing Approach for Congestion Adaptivity in MANET 一种基于负载均衡的MANET拥塞自适应方法

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI: 10.1109/CICN.2011.7

L. Shrivastava, G. Tomar, S. Bhadoria

引用次数: 11

Energy Efficient Shortest Path Routing Protocol for Wireless Sensor Networks 无线传感器网络的节能最短路径路由协议

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI: 10.1109/CICN.2011.70

K. S. Shivaprakasha, M. Kulkarni

引用次数: 12

Improving Recommendation by Exchanging Meta-Information 通过交换元信息来改进推荐

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI: 10.1109/CICN.2011.94

Punam Bedi, P. Vashisth

引用次数: 2

Anomaly Detection Using REONIT and Attack Confirmation by Neural Ensemble 基于REONIT的异常检测与基于神经集成的攻击确认

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI: 10.1109/CICN.2011.39

P. A. Kumar, S. Selvakumar

{"title":"Anomaly Detection Using REONIT and Attack Confirmation by Neural Ensemble","authors":"P. A. Kumar, S. Selvakumar","doi":"10.1109/CICN.2011.39","DOIUrl":"https://doi.org/10.1109/CICN.2011.39","url":null,"abstract":"With the availability of the sophisticated vulnerability assessment tools that are publicly available on the Internet, information security breaches are on the rise every day. Existing techniques such as Misuse detection methods identify packets that match a known pattern or signature. However, these methods fail to detect unknown anomalies. Hence, anomaly detection methods were used to identify the traffic patterns that deviate from the modeled normal traffic behavior. The identified anomalies could be either an attack or normal traffic. The focus in this paper is to monitor the resources of remote server and to detect the malicious traffic. This led to two contributions in this paper. First is the design and implementation of Remote server monitoring (REONIT) tool and the second is the confirmation of attacks by neural ensemble. Local and remote server resources are monitored through REONIT. The REONIT has been implemented using the existing ideas and has the following components, viz., Authentication port let to monitor the distributed resources, Web Port let, which processes requests and generates dynamic content, RRD tool for data storage and visualization, XML for data representation in the form of graphs, and Message Alert, which warns the victim server if any eccentric traffic pattern occurs. REONIT tool was deployed in SSE Test bed* and the resources were monitored. The results were displayed as graphs. From the results, it is confirmed that the anomalous behavior and the high resource utilization observed in the display were due to attacks and not due to legitimate traffic.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123385698","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

Preference Learning in Aspect-Oriented Recommender System 面向方面推荐系统中的偏好学习

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI: 10.1109/CICN.2011.132

Punam Bedi, Sumit Agarwal

{"title":"Preference Learning in Aspect-Oriented Recommender System","authors":"Punam Bedi, Sumit Agarwal","doi":"10.1109/CICN.2011.132","DOIUrl":"https://doi.org/10.1109/CICN.2011.132","url":null,"abstract":"Recommender systems are intelligent applications employ Information Filtering (IF) techniques to assist users by giving personalized product recommendations. IF techniques generally perform a progressive elimination of irrelevant content based on the information stored in a user profile, recommendation algorithms acquire information about user preferences - in an explicit (e.g., letting users express their opinion about items) or implicit (e.g., observing some behavioral features) way - and finally make use of these data to generate a list of recommended items. Although all filtering methods have their own weaknesses and strengths, preference learning is one of the core issues in the design of each recommender system: because these systems aim to guide users in a personalized way to recommend items from the overwhelming set of possible options. Aspect Oriented Recommender System (AORS) is a proposed multi agent system (MAS) for building learning aspect using the concept of Aspect Oriented Programming (AOP). Using conventional agent-oriented approach, implementation of preference learning in recommender system creates the problem of code scattering and code tangling. This paper presents the learning aspect for the separation of learning crosscutting concern, which in turn improves the system reusability, maintainability and removes the scattering and tangling problems in the recommender system. The prototype of AORS has been designed and developed for book recommendations.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116297578","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: 10

Information Extraction Using Web Usage Mining, Web Scrapping and Semantic Annotation 基于Web使用挖掘、Web抓取和语义注释的信息提取

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI: 10.1109/CICN.2011.97

S. K. Malik, S. Rizvi

{"title":"Information Extraction Using Web Usage Mining, Web Scrapping and Semantic Annotation","authors":"S. K. Malik, S. Rizvi","doi":"10.1109/CICN.2011.97","DOIUrl":"https://doi.org/10.1109/CICN.2011.97","url":null,"abstract":"Extracting useful information from the web is the most significant issue of concern for the realization of semantic web. This may be achieved by several ways among which Web Usage Mining, Web Scrapping and Semantic Annotation plays an important role. Web mining enables to find out the relevant results from the web and is used to extract meaningful information from the discovery patterns kept back in the servers. Web usage mining is a type of web mining which mines the information of access routes/manners of users visiting the web sites. Web scraping, another technique, is a process of extracting useful information from HTML pages which may be implemented using a scripting language known as Prolog Server Pages(PSP) based on Prolog. Third, Semantic annotation is a technique which makes it possible to add semantics and a formal structure to unstructured textual documents, an important aspect in semantic information extraction which may be performed by a tool known as KIM(Knowledge Information Management). In this paper, we revisit, explore and discuss some information extraction techniques on web like web usage mining, web scrapping and semantic annotation for a better or efficient information extraction on the web illustrated with examples.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116327481","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: 68

Simulation and Testing of Photovoltaic with Grid Connected System 光伏并网系统仿真与测试

2011 International Conference on Computational Intelligence and Communication Networks Pub Date : 2011-10-07 DOI: 10.1109/CICN.2011.150

K. Prajapat, A. Katariya, Ashok Kumar V, S. Shukla

{"title":"Simulation and Testing of Photovoltaic with Grid Connected System","authors":"K. Prajapat, A. Katariya, Ashok Kumar V, S. Shukla","doi":"10.1109/CICN.2011.150","DOIUrl":"https://doi.org/10.1109/CICN.2011.150","url":null,"abstract":"In the recent years the power demand is increasing regularly and it can be fulfilled by the use of conventional or non-conventional energy power plants. So, renewable energy sources like photovoltaic (PV) panels are used today in many applications. With the rapid development of photovoltaic system installations and increased number of grid connected power systems, it has become imperative to develop an efficient grid interfacing instrumentation suitable for photovoltaic systems ensuring maximum power transfer. The losses in the power converter play an important role in the overall efficiency of a PV system. Grid connected systems use a photovoltaic array to generate electricity, which is then fed to the main grid via a grid interactive inverter. When the solar array generates more power than is being used in the building, the surplus is exported to the grid. When the solar array generates less power than is being used in the building, the difference is imported from the grid. This system includes photovoltaic solar Panels, one inverter, 1 charge controller and a battery bank. The result shows that PV system would be suitable to supply electricity to cover the load requirement without using energy from the grid. The overall efficiency of the system depends on the efficiency of the SUNLIGHT-into-DC and the DC-into-AC conversion efficiencies. The first one varies up to 3% over a year. The second one, instead, shows a much greater variability. The output power of photovoltaic (PV) module varies with module temperature, solar isolation and 1oad changes etc. In order to control the output power of single-phase grid-connected PV system according to the output power of PV arrays. The experimental results of MATLAB simulation show that the proposed method has a good performance.","PeriodicalId":292190,"journal":{"name":"2011 International Conference on Computational Intelligence and Communication Networks","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114017312","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