2010 3rd International Conference on Emerging Trends in Engineering and Technology最新文献_第5页

Analysis of Wavelet for 3D-DWT Volumetric Image Compression 3D-DWT体积图像压缩的小波分析

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.74

B. Sunil, C. Raj

引用次数: 7

Analysis and Mitigation of Balanced Voltage Sag with the Help of Energy Storage System 储能系统对平衡电压暂降的分析与缓解

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.163

D. N. Katole, K. Joshi

引用次数: 8

Vehicle Classification and Communication Using Zigbee Protocol 基于Zigbee协议的车辆分类与通信

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.170

S. Dorle, D. Deshpande, A. Keskar, M. Chakole

引用次数: 15

Substitution Cipher by Using Attributes of Magic Number 9 利用幻数9属性的替换密码

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.157

Amol G. Muley, S. Gawate

引用次数: 0

Thyristor Controlled Series Compensator to Resolve Congestion Caused Problems 可控硅控制串联补偿器解决拥塞问题

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.133

A. Bawankar, V. Rajderkar

引用次数: 5

Reconfigurable Hardware for Median Filtering for Image Processing Applications 用于图像处理应用的中值滤波的可重构硬件

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.172

Tripti Jain, P. Bansod, C. Kushwah, Mayenk Mewara

{"title":"Reconfigurable Hardware for Median Filtering for Image Processing Applications","authors":"Tripti Jain, P. Bansod, C. Kushwah, Mayenk Mewara","doi":"10.1109/ICETET.2010.172","DOIUrl":"https://doi.org/10.1109/ICETET.2010.172","url":null,"abstract":"Median filter is a non-linear filter used in image processing for impulse noise removal during morphological operations, image enhancement and other image processing operations. It finds its typical application in the situations where edges are to be preserved for higher level operations like segmentation, object recognition etc. Real-time applications, such as video and high speed acquisition cameras often require fast algorithms for processing. Reconfigurable hardware filters can be embedded with image acquisition system to achieve this goal. In this paper we propose a hardware implementation of a median filter with programmable window sizes ranging from 3x3 to 7x7. This median filter was designed, simulated and synthesized on the Xilinx family of FPGAs (XC3S500E of Spartan-3E). The performance of the same was evaluated for variety of images. For 3x3 window size, the maximum operating frequency achieved was approximately 89 MHz and for 5x5 window sizes, the maximum operating frequency achieved was approximately 89 MHz. The VHDL was used to design the above 2-D median filter using ISE (Xilinx) tool. The proposed hardware implementation took on an average 0.00246 m sec. For a frame of size 4x4 (for window size 3x3), 0.22472 m sec on for a frame of size 16x16 (for window size 5x5) and 0.468 m sec on a average for a frame of size 16x16 (for window size 7x7). The algorithm proposed for the median filter is based on sorting pixel samples and extracting their median values.","PeriodicalId":175615,"journal":{"name":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","volume":" 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113952056","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: 18

Study and Implementation of Entropy Encoding System for Image Compression 图像压缩熵编码系统的研究与实现

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.55

Shishir Kumar, S. Singh

引用次数: 1

Semantic Web for E-Governance Using Wiki Technology 基于Wiki技术的电子政务语义网

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.10

Vidya Gavekar, Manisha A. Kumbhar, Anil D. Kumbhar

{"title":"Semantic Web for E-Governance Using Wiki Technology","authors":"Vidya Gavekar, Manisha A. Kumbhar, Anil D. Kumbhar","doi":"10.1109/ICETET.2010.10","DOIUrl":"https://doi.org/10.1109/ICETET.2010.10","url":null,"abstract":"The importance of Web services has been recognized and widely accepted by industry and academic research. This paper describes an ongoing research project involving the implementation of e-Governance services on the Semantic Web. In Today’s IT world, technology enhanced e-governance system is lacking the concept of resource sharing and operation integration. A citizen has go through related services to satisfy his particular needs, which takes lot of time. Semantic web (SW) has potential to overcome this problem. SW technology provides foundation to enable exchange of knowledge and information to co-ordinate business processes. It can automatically compose web services through automatic discovery, selection & execution of web services. This research paper is highlighting an introduction to SW & other aspects like Ontology, Knowledge Management, Web Services & their approaches. Also highlights on the egovernance concept, discuses role of SW in egovernance services. This paper explains semantic webs based model for e-government with wiki technology, current challenges to the development of a Semantic Web, identifies Wiki advantages, and illustrates a potential solution and challenges with help of primary research work based on secondary data.","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":"125891308","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 Based Particle Filter for Human Tracking with Thermal Imaging 基于运动的热成像人体跟踪粒子滤波

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.120

C. Padole, Luís A. Alexandre

引用次数: 11

Centroid Based Detection Algorithm for Hybrid Traffic Sign Recognition System 基于质心的混合交通标志识别算法

2010 3rd International Conference on Emerging Trends in Engineering and Technology Pub Date : 2010-11-19 DOI: 10.1109/ICETET.2010.69

Jitendra N. Chourasia, P. Bajaj

{"title":"Centroid Based Detection Algorithm for Hybrid Traffic Sign Recognition System","authors":"Jitendra N. Chourasia, P. Bajaj","doi":"10.1109/ICETET.2010.69","DOIUrl":"https://doi.org/10.1109/ICETET.2010.69","url":null,"abstract":"Automatic traffic sign recognition system can help the driver to make a right decision at the right time for safe driving. This paper presents an algorithm for detection of traffic sign using color centroid matching. This algorithm detects the traffic sign from the images captured from the complex road environment. YCbCr color space is used for color segmentation to make the detection process independent of variable illumination characteristic. The proposed method extracts and classifies the detected sign according to colors of the traffic sign. The sign is extracted by considering the maximum distance of boundary pixels from centroid. The sign is further classified into its sub-group according to its shape. The minimum Euclidean distance classifier is used to detect the shape of sign. Perceptron Neural Network (NN) is employed to recognize the classified sign. Results show that the developed algorithm has color classification rate of 100% while shape classification rate about 98% when tested on several outdoor images for traffic sign detection. The overall recognition rate of the developed algorithm is observed around 92%.","PeriodicalId":175615,"journal":{"name":"2010 3rd International Conference on Emerging Trends in Engineering and Technology","volume":"60 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":"125171721","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: 34