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.

Monogenic scale space based region covariance matrix descriptor: an efficient and accurate face recognition algorithm

Abstract: In this paper, we present a new face recognition algorithm based on region covariance matrix (RCM) descriptor computed in monogenic scale space. In the proposed model, local energy information and local phase information obtained using monogenic filter is used to represent a pixel at different scales to form region covariance matrix descriptor for each face image during training phase. An eigen-value based distance measure is used to compute the similarity between face images. Extensive experimentation on AT&T and YALE face database has been conducted to reveal the performance of the monogenic scale space based region covariance matrix method and comparative analysis is made with the basic RCM method and Gabor Wavelet based region covariance matrix method to exhibit the superiority of the proposed technique.

Optimal Service Restoration Strategy for Smart Grid under Single and Multiple Fault Conditions

Abstract: The distribution system plays an important role in the power system to meet out the power demands of the utility customer. It may lose its stability due to the influence of faults which leads to interruptions in supply to the utility customers. Therefore, the utility should take immediate necessary measures to ensure the quality of supply and restored the system to optimal that can satisfy all the constraints of the power system. This research work focuses on joined service restoration and optimization. Service restoration is done through restructuring and optimization is carried out through Stud Krill Herd Algorithm (SKHA). The distribution system optimization is achieved by reconfiguration and capacitor placement. SKHA is utilized for handling reconfiguration and optimal capacitor placement simultaneously. The effectiveness of the proposed strategy is validated by implementing two benchmark case studies namely IEEE 33 Bus Radial Distribution System (RDS) and Taiwan Power Distribution Company (TPDC) System.

Factors Influencing the Non-implementation of TPM in the Selected Manufacturing Industries: A Statistical Approach

Abstract: Total productive maintenance (TPM) is one of the productivity improvement programs implemented by various manufacturing industries. This research paper highlights the degree to which TPM is being implemented in the selected small and medium-sized Indian manufacturing industries. In this work a pre-set questionnaire is used, which consists of 20 questions related to TPM and its implementation. The questionnaire is given to the respondents such as executives, engineers, managers and supervisors from various manufacturing industries of small to medium size. The questionnaire is sent to 100 manufacturing industries using Google forms, out of which 70 responses are received and they constitute the sample size. The responses are rated on a five-point Likert scale. The responses are analyzed using statistical tools such as bar charts and pie diagrams, thoroughly interpreted to draw the inferences. Analysis shows that only 50 industries out of 70 are making use of TPM for improving their productivity and the remaining industries are yet to kick off the implementation of TPM. The research also identifies the possible reasons for not implementing TPM in the selected manufacturing industries.

Android Application for Doctor Conceiver & Appointment Scheduler

Abstract: Java is simply the official language of Android app development, which means it is one of the most supported languages by Google and the one that most apps in the Play Store are built with. Java itself was developed by Sun Microsystems way back in 1995 and it is used for a wide range of programming applications. Java code is run by a virtual machine, which runs on Android devices and interprets the code. An android based application where the patients can consult with doctors, psychologists, psychiatrists, and other medical professionals regarding their problems through mobile application. User can fix appointments for consulting doctors through the app. Provides best suggestions for the users, based on user’s inputs such as symptoms, gender, age.

Kernel Discriminative Embedding Technique with Entropy Component Analysis for Accurate Face Image Classification

Abstract: In this paper, we have reported a new face image classification algorithm based on Renyi entropy component analysis. In the proposed model, kernel discriminant analysis is integrated with entropy analysis to choose the best principal component vectors which are subsequently used for pattern projection to a lower dimensional space. Extensive experimentation on Yale and UMIST face database has been conducted to reveal the performance of the entropy based kernel discriminative embedding technique and comparative analysis is made with conventional kernel linear discriminant method to signify the importance of selection of principal component vectors based on entropy information rather based only on magnitude of eigenvalues.