P A College of Engineering

About: P A College of Engineering is a based out in . It is known for research contribution in the topics: Dihedral angle & Ring (chemistry). The organization has 298 authors who have published 594 publications receiving 4888 citations.

N-(4-Bromo-phen-yl)-2-(4-chloro-phen-yl)acetamide.

Abstract: The title compound, C14H11BrClNO, consists of chloro­benzene and bromo­benzene units which are linked at either end of the N-methyl­propionamide group. The chloro­benzene unit [maximum deviation = 0.005 (4) A] makes a dihedral angle of 68.21 (19)° with the bromo­benzene unit [maximum deviation = 0.012 (3) A]. In the crystal, N—H⋯O hydrogen bonds link the mol­ecules into chains along [010].

Discovery of web usage patterns using fuzzy mountain clustering

Abstract: Analysis of web server logs of e-business organisations is critical to provide insight into users' web usage behaviour which can assist in designing most attractive websites. In this article, a mountain density function MDF-based fuzzy clustering framework to discover user session clusters from web logs is proposed. Major steps in this framework include web log preprocessing, MDF-based discovery of user session clusters and their validation. To deal with high dimensionality of user sessions, a fuzzy approach for assigning weights to user sessions has been proposed. For the discovery of user session clusters, fuzzy c-means FCM and fuzzy c-medoids FCMed algorithms are explored. Since the selection of suitable initial cluster centres is a big challenge, MDF-based fuzzy c-means MDFCM and fuzzy c-medoids MDFCMed algorithms are proposed to overcome this problem. Our results show that quality of clusters formed using MDFCM/MDFCMed is much better than FCM and FCMed.

Efficient hybrid multi-level matching with diverse set of features for image retrieval

Abstract: Content-based image retrieval has become popular in the retrieval of images from large image database using reduced human intervention. Researchers are still in need to develop effective systems for dealing many of the wide-scope scientific and medical applications. Past research works have faced a problem on differentiating different images by means of using the single features alone. In this paper, a multi-level matching scheme is introduced for retrieval of image based on a hybrid feature similarity integrating local and global features. Both global- and local-level features included in multi-level scheme are used for image representation. From an image, the color information is extracted globally using a new color, edge directivity descriptor and color-based features. Further, the interest of points from each image is detected using local descriptors called local binary pattern and speeded-up robust features. Using two image databases, the improved retrieval accuracy obtained with the combination of global and local features is analyzed. Experimental outcomes have revealed the effectiveness of proposed system on achieving 91% and 92% precision rates over two datasets compared to other existing methods.

Heat Transfer Analysis of Shell and Tube Heat Exchanger Cooled Using Nanofluids

Abstract: In Shell and Tube Heat Exchanger (STHX), heat is exchanged between hot water (coming from industrial outlet by forced convection) to the cold water. Instead of water, if Nano fluids are used into these tubes, then there is a possibility of improved heat transfer because of high thermal conductivity of the nanofluids. From many literature and patents, it was clear that the study of STHX using metal oxide nanoparticles is very scarce. Therefore, the objective of the present investigation is to check the thermal performance of STHX operated with zinc oxide nanofluid and compare with water as the base fluid. Heat transfer analysis of a shell and tube heat exchanger was carried out experimentally using Zinc oxide as a nanofluid. Mass flow rate on tube side was varied while on the shell side it was kept constant. Various heat transfer parameters like heat transfer coefficient, heat transfer rate effectiveness and LMTD (Log Mean Temperature Difference) were studied. The experimental readings were recorded after the steady-state is reached under forced flow conditions. It was found that the effectiveness improves with increase in mass flow rate of nanofluids as compared to base fluid. From the obtained results, it was concluded that heat transfer enhancement and effectiveness improvement does occur with nano fluids but at the cost of pumping power.