2010 3rd International Conference on Emerging Trends in Engineering and Technology最新文献_第10页

User Web Search Behaviour 用户网络搜索行为

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.31

Murtuza Kutub, R. Prachetaa, Dr Mangesh Bedekar

{"title":"User Web Search Behaviour","authors":"Murtuza Kutub, R. Prachetaa, Dr Mangesh Bedekar","doi":"10.1109/ICETET.2010.31","DOIUrl":"https://doi.org/10.1109/ICETET.2010.31","url":null,"abstract":"Since the inception of the web searching technology, people have been searching for almost everything and anything on the internet. The ever-increasing dependency of users on these search engines and the dynamic nature of the World Wide Web has reduced the accuracy of the search results and increased the search time of an individual. Today, more than ever before, there is a need for search engines to be relevant and precise to the user’s needs and to be able to make decisions about what the user wants to search, and should be able to suggest him similar or related topics of his interest. This increasing need of the search engine to become a decision engine [1] (term coined by Stefan Weitz [2]) brought to fore various creative technological ideas like Tag clouds and AutoComplete [3]. For a better and more relevant search experience, it is crucial that we study the present search behavior of users and its corresponding response by the search engine. This work contemplates the nature of searches made and how they evolve from time to time. In this paper we examine and construe data from various angles and then provide our suggestions and conclusions for a better, more personalized and relevant search.","PeriodicalId":175615,"journal":{"name":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131133459","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

Redundancy Discrete Wavelet Transform and Contourlet Transform for Multimodality Medical Image Fusion with Quantitative Analysis 冗余离散小波变换和Contourlet变换用于多模态医学图像融合与定量分析

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.122

Rajkumar Soundrapandiyan, P. Kavitha

{"title":"Redundancy Discrete Wavelet Transform and Contourlet Transform for Multimodality Medical Image Fusion with Quantitative Analysis","authors":"Rajkumar Soundrapandiyan, P. Kavitha","doi":"10.1109/ICETET.2010.122","DOIUrl":"https://doi.org/10.1109/ICETET.2010.122","url":null,"abstract":"Image fusion is the process of combining relevant information from two or more images into a single fused image. The resulting image will be more informative than any of the input images. The fusion in medical images is necessary for efficient diseases diagnosis from multimodality, multidimensional and multiparameter type of images. This paper describes a multimodality medical image fusion system using different fusion techniques and the resultant is analysed with quantitative measures. Initially, the registered images from two different modalities such as CT (anatomical information) and MRI - T2, FLAIR (pathological information) are considered as input, since the diagnosis requires anatomical and pathological information. Then the fusion techniques namely Redundancy Discrete Wavelet Transform (RDWT) and Contour let Transform are applied. Further the fused image is analyzed with five types of quantitative metrics such as Standard Deviation (SD), Entropy (EN), Overall Cross Entropy (OCE), Ratio of Spatial Frequency Error (RSFE), and Power Signal to Noise Ratio (PSNR) for performance evaluation. From the experimental results we observed that RDWT method provides better information (quality) using EN metric and the Contour let Transform gives the difference in source to the fused image using OCE metric and also the fused image obtained from the proposed fusion techniques has more information than the source images are proved through all metrics.","PeriodicalId":175615,"journal":{"name":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","volume":"203 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120902010","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: 51

Short Term Prediction of Traffic Parameters Using Support Vector Machines Technique 基于支持向量机技术的交通参数短期预测

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.37

P. Theja, L. Vanajakshi

{"title":"Short Term Prediction of Traffic Parameters Using Support Vector Machines Technique","authors":"P. Theja, L. Vanajakshi","doi":"10.1109/ICETET.2010.37","DOIUrl":"https://doi.org/10.1109/ICETET.2010.37","url":null,"abstract":"Accurate and precise prediction of traffic variables such as speed, volume, density, travel time, headways etc. is important in traffic planning, design, operations, etc. Short term prediction of these variables plays a very important role in Intelligent Transportation Systems (ITS) applications. Under Indian scenario, this short term prediction of traffic variables has gained greater attention with the recent interest in ITS applications such as Advanced Traveller Information systems (ATIS) and Advanced Traffic Management systems (ATMS). In the context of prediction methodologies, different techniques such as time series analysis, statistical methods, filtering techniques and machine learning techniques have been suggested in different studies in addition to the historic and real time approaches. However, for traffic conditions such as the one existing in India, with its heterogeneous and less lane disciplined traffic, many of these techniques may not bring the accuracy that was reported in literature under homogeneous traffic. There are only very limited studies on the application of these techniques for traffic conditions such as the one existing in India. The present study proposes the application of a recently developed pattern classification and regression technique called support vector machines (SVM) for the short-term prediction of traffic variables under mixed and less lane disciplined traffic conditions. An ANN model is also developed and a comparison of the performance of both these techniques is carried out.","PeriodicalId":175615,"journal":{"name":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116299896","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: 32

Concept Based Search Using LSI and Automatic Keyphrase Extraction 基于概念的LSI搜索与关键词自动提取

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.100

R. Rodrigues, K. Asnani

{"title":"Concept Based Search Using LSI and Automatic Keyphrase Extraction","authors":"R. Rodrigues, K. Asnani","doi":"10.1109/ICETET.2010.100","DOIUrl":"https://doi.org/10.1109/ICETET.2010.100","url":null,"abstract":"Classic information retrieval model might lead to poor retrieval due to unrelated documents that might be included in the answer set or missed relevant documents that do not contain at least one index term. Retrieval based on index terms is vague and noisy. The user information need is more related to concepts and ideas than to index terms. Latent Semantic Indexing (LSI) model is a concept-based retrieval method which overcomes many of the problems evident in today's popular word-based retrieval systems. Most retrieval systems match words in the user’s queries with words in the text of documents in the corpus, whereas LSI model performs the match based on the concepts. In order to perform concept mapping, Singular Value Decomposition (SVD) is used. Also key phrases are an important means of document summarization, clustering and topic search. Key phrases give high level description of document contents that indeed makes it easy for perspective readers to decide whether or not it is relevant to them. In this paper, we first develop an automatic key phrase extraction model for extracting key phrases from documents and then use these key phrases as a corpus on which conceptual search will be performed using LSI.","PeriodicalId":175615,"journal":{"name":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122483770","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

Wavelet Neural Network Based Intelligent System for Oil Pipeline Defect Characterization 基于小波神经网络的输油管道缺陷表征智能系统

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.88

Mamta Tikaria, S. Nema

引用次数: 5

Emerging Trends of Computational Grid Based Near Real Time/Real Time Flood Assessment and Forecasting Models 基于计算网格的近实时/实时洪水评估和预报模型的新趋势

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.54

Manavalan, S. Chattopadhyay, N. Mangala, Y. S. Rao

引用次数: 3

Analysis of Heat Transfer and Frictional Characteristic in Circular Tube Fitted with V-Nozzle Turbulators 装有v型喷嘴的圆管内传热与摩擦特性分析

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.139

D. Bankar, N. Pathare

引用次数: 5

Genetic Algorithm Based Efficient Controlling in Wireless Network Using Local Caching and Topology Mapping for Next Generation Network 基于遗传算法的无线网络本地缓存和拓扑映射高效控制

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.91

Arun Biradar, R. Thool, Satanik Panda

{"title":"Genetic Algorithm Based Efficient Controlling in Wireless Network Using Local Caching and Topology Mapping for Next Generation Network","authors":"Arun Biradar, R. Thool, Satanik Panda","doi":"10.1109/ICETET.2010.91","DOIUrl":"https://doi.org/10.1109/ICETET.2010.91","url":null,"abstract":"In the world of fast developing networks, we are looking for the high capacity networks. But these networks need to be optimized so as to reduce the cost while satisfying traffic requirements. At the same time we need to keep network delays within permissible values. Such problem can be treated as the NPComplete i.e. it has a solution in polynomial time but can only be solved by non-deterministic algorithms. Therefore, designing such communication networks is a complex, multi constraint optimization problem. Current advancement in the field of communication has taken place in such a massive way that the requirement of communication between each and every entity in the network is in high demand. To support such high demand of all time connectivity wireless communication has been the pioneering technology in the list. To implement an efficient secure centralized wireless deployment system for faster controlling and provisioning of network faults and congestion. In the process of continuous evaluation towards any time any where anyone connectivity is the requirement from the Next Generation Networks (NGN).","PeriodicalId":175615,"journal":{"name":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130623220","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

Frequency Domain Adaptive Filter using FFT Algorithm for Acoustic Echo Cancellation 基于FFT算法的频域自适应滤波声学回波抵消

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.174

Kishanprasad G. Gunale, Sumitra N. Motade, S. Nalbalwar, S. Deosarkar

引用次数: 7

A Hybrid Decomposition Method for Transient Stability Assessment of Large Power System 大型电力系统暂态稳定评估的混合分解方法

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.151

B. Bagde, P. M. Meshram

引用次数: 0