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Institution

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.


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Journal ArticleDOI
TL;DR: Trypsin from viscera of Indian mackerel was purified by ammonium sulphate precipitation and chromatographic techniques such as size exclusion, ion exchange, and affinity chromatography, with a 14.4-fold increase in specific activity and 18.7% recovery.
Abstract: Trypsin from viscera of Indian mackerel (Rastralliger kanagurta) was purified by ammonium sulphate precipitation and chromatographic techniques such as size exclusion, ion exchange, and affinity chromatography, with a 14.4-fold increase in specific activity and 18.7% recovery. The molecular weight of the trypsin was estimated to be approximately 26 kDa using sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Purified trypsin showed amidase-specific activity which was determined using benzoyl-dl-arginine-p-nitroanilide (BAPNA). The optimum pH and temperature for isolated trypsin activity were 9.0 and 50°C, respectively. The purified trypsin was strongly inhibited by soybean trypsin inhibitor (SBTI) and N-p-tosyl-1-lysine chloromethyl ketone (TLCK). Purified trypsin showed almost 40% recovery at high NaCl concentration (30%). The N-terminal amino acid sequence of the first 10 amino acids of purified trypsin was IVGGYESQPH. The Michaelis-Menten constant (Km) and catalytic constant (Kcat) o...

9 citations

Journal ArticleDOI
TL;DR: In this paper, the use of four different schemes to parallelly compute the numerical flow equations based on the finite volume method is discussed. And the different schemes proposed are applied for parallelization using central processing units and graphical processing units.
Abstract: Parallelization of inhouse develpoed code for numerical computations on heterogeneous computing machine is becoming common. As the numerical solvers and problem complexity are evolving, the parallel computing facilities are also growing. This research study deals with the use of four different schemes to parallelly compute the numerical flow equations based on the finite volume method. The different schemes proposed are applied for parallelization using central processing units and graphical processing units. Open multiprocessing (OpenMP) and compute unified device architecture (CUDA) are the parallel computing tools used for parallelization of the code applying four schemes, viz. red and black successive over-relaxation (RBSOR), wavefront, combined RBSOR and wavefront, and alternate RBSOR and wavefront scheme. The flow analysis is carried out for internal and external flow at different Reynolds numbers on dissimilar machines having their individual computational capability. Speedup obtained and parallel efficiency achieved using the proposed unusual parallelization method are investigated separately. The grid size for both the flow conditions is fixed during the parallel computation performance analysis. The RBSOR scheme provided the maximum speedup in all cases of flow, scheme, and tool used. The wavefront scheme provides the lowest speedup and parallel efficiency. The alternate scheme is better than the wavefront scheme and combined scheme using OpenMP. The speedup achieved and parallel efficiency obtained for the CUDA parallelized code are in the range of 200 × and 70%, respectively, applying the RBSOR scheme.

9 citations

Journal ArticleDOI
TL;DR: The fuzzy set theoretic approach to perform feature selection (or dimensionality reduction) and session weight assignment and the traditional approach of direct elimination of small sessions and low support count URLs are compared.
Abstract: The explosive growth in the information available on the Web has necessitated the need for developing Web personalization systems that understand user preferences to dynamically serve customized content to individual users. Web server access logs contain substantial data about the accesses of users to a Web site. Hence, if properly exploited, the log data can reveal useful information about the navigational behaviour of users in a site. In order to reveal the information about user preferences from, Web Usage Mining is being performed. Web Usage Mining is the application of data mining techniques to web usage log repositories in order to discover the usage patterns that can be used to analyze the user’s navigational behavior. WUM contains three main steps: preprocessing, knowledge extraction and results analysis. During the preprocessing stage, raw web log data is transformed into a set of user profiles. Each user profile captures a set of URLs representing a user session. Clustering can be applied to this sessionized data in order to capture similar interests and trends among users’ navigational patterns. Since the sessionized data may contain thousands of user sessions and each user session may consist of hundreds of URL accesses, dimensionality reduction is achieved by eliminating the low support URLs. Very small sessions are also removed in order to filter out the noise from the data. But direct elimination of low support URLs and small sized sessions may results in loss of a significant amount of information especially when the count of low support URLs and small sessions is large. We propose a fuzzy solution to deal with this problem by assigning weights to URLs and user sessions based on a fuzzy membership function. After assigning the weights we apply a "Fuzzy c-Mean Clustering" algorithm to discover the clusters of user profiles. In this paper, we describe our fuzzy set theoretic approach to perform feature selection (or dimensionality reduction) and session weight assignment. Finally we compare our soft computing based approach of dimensionality reduction with the traditional approach of direct elimination of small sessions and low support count URLs. Our results show that fuzzy feature evaluation and dimensionality reduction results in better performance and validity indices for the discovered clusters.

9 citations

Proceedings ArticleDOI
01 Mar 2012
TL;DR: In this paper, a new control algorithm implemented with Adaptive Hysteresis Current Control technique for Shunt Active Filter is proposed, where a three-phase six-pulse converter with resistive load is considered as the nonlinear load.
Abstract: A new control algorithm implemented with Adaptive Hysteresis Current Control technique for Shunt Active Filter is proposed. A three-phase six-pulse converter with resistive load is considered as the non-linear load. Many switching methods are used to produce switching pulse which leads to the generation of reference current. Hysteresis Current Control is widely used due to its simplicity in implementation, fast and accurate response. However, the main issue is its variable switching frequency which leads to extra switching losses and injecting high-frequency harmonics into the system current. To solve this problem, an Adaptive Hysteresis Current Control has been introduced which produces hysteresis bandwidth which instantaneously results in smoother and constant switching frequency. By this technique the overall Total Harmonic Distortion rate has been reduced than the Hysteresis Current Control technique. The design concept of the proposed Shunt Active Filter using the PI based control algorithm is verified through simulation and the results proved the effectiveness of the proposed algorithm

9 citations

Journal Article
TL;DR: In this paper, the design and development of control circuit for a solar fed cascaded multilevel inverter is postulated in order to achieve the maximum output voltage levels without the requirement of detailed look up table, boost converters and output transformers.
Abstract: The design and development of control circuit for a solar fed cascaded multilevel inverter is postulated in this paper. The control circuit based on logic operations reduces the semiconductor switches required for the multilevel inverter. In addition to the reduction of switches, it also improves the quality of the output power by minimizing the Total Harmonic Distortion (THD). The proposed design achieves the maximum output voltage levels without the requirement of detailed look up table, boost converters and output transformers. The implementation of multilevel inverter is carriedout with asymmetrical DC sources from solar photovoltaics to achieve 2 ns+1 -1 and 3 ns levels, where ns is the number of individual inverter stages. Based on the proposed design 12 switches are required to achieve 15 and 27 levels respectively, whereas the conventional inverter can able to produce only 7 levels. MATLAB/Simulink is used for the simulation of the system. The modelling of solar panel which adheres to the experimental setup is developed. A 3kWp solar plant is taken into consideration for the implementation of the proposed control design and the performance parameters are measured using power quality analyser. The results are compared with the conventional inverter which shows that the proposed inverter is much suitable for both standalone and grid connected systems.

9 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20223
2021120
202054
201935
201823
201723