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Jindal, Lalit
- Use of CAD in Automobile & Textile Industeries with Various Innovative Applications
Abstract Views :154 |
PDF Views:2
Authors
Affiliations
1 Department of Textile Engineering, GzsPtu Campus, Bathinda-151001, Punjab), IN
2 Department of Computer Science Engineering, GzsPtu Campus, Bathinda-151001, Punjab, IN
3 Department of Mechanical Engineering, GzsPtu Campus, Bathinda-151001, Punjab, IN
1 Department of Textile Engineering, GzsPtu Campus, Bathinda-151001, Punjab), IN
2 Department of Computer Science Engineering, GzsPtu Campus, Bathinda-151001, Punjab, IN
3 Department of Mechanical Engineering, GzsPtu Campus, Bathinda-151001, Punjab, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 13 (2014), Pagination: 24-30Abstract
CAD is industry specific design system using computer as a tool. CAD is used to design anything from an automobile to Textile Industries. Originally CAD was used in designing high precision machinery. Automobile and fashion designing companies face significant challenges to remain competitive in today's industry, including supplying innovative collections at the right price, controlling margins, designing personalized garments, enhancing brand image, building customer loyalty and expanding business horizons. So We need to have a better understanding of how some of this technology may benefit the textiles industry, how these developing systems can be most successfully implemented, and how we can use these systems to the greatest advantage to serve our customers, today and in the future.Keywords
Introduction, Factors Affecting CAD System, Advantages of CAD in Automobile & in Textile, CAD Softwares, Latest Technologies in Automobiles, Latest Technologies in Textile Industries.Full Text
- Comparison of CBIR Using Texture Feature And Histogram Technique
Abstract Views :168 |
PDF Views:4
Authors
Affiliations
1 Computer Science Engineering Department, GZS-PTU Campus, Bathinda, IN
1 Computer Science Engineering Department, GZS-PTU Campus, Bathinda, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 12 (2014), Pagination: 18-23Abstract
In the present scenario image retrieval plays a vital role. The field of image retrieval has been an active research area for several decades and has been paid more and more attention in recent years as a result of the dramatic and fast increase in the volume of digital images. CBIR aims at finding image databases for specific images that are similar to a given query image based on its features. Users can query example images based on these features such as texture, color, region, shape and others. Target or close Images can be retrieved in a little fast if it is clustered in a right manner. For clustering, we use fuzzy- c mean clustering. In this way relevant images will be retrieved from database.Keywords
Content Based Image Retrieval, Auto-Correlation, RGB Components, Query, Texture.Full Text