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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
M. A. Ansari
Gautam Buddha University
Computer Science & IT Electrical & Electronics Engineering

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Deep learning for pose-invariant face detection in unconstrained environment Shivkaran Ravidas; M. A. Ansari
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 1: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (61.897 KB) | DOI: 10.11591/ijece.v9i1.pp577-584

Abstract

In the recent past, convolutional neural networks (CNNs) have seen resurgence and have performed extremely well on vision tasks.  Visually the model resembles a series of layers each of which is processed by a function to form a next layer. It is argued that CNN first models the low level features such as edges and joints and then expresses higher level features as a composition of these low level features. The aim of this paper is to detect multi-view faces using deep convolutional neural network (DCNN). Implementation, detection and retrieval of faces will be obtained with the help of direct visual matching technology. Further, the probabilistic measure of the similarity of the face images will be done using Bayesian analysis. Experiment detects faces with ±90 degree out of plane rotations. Fine tuned AlexNet is used to detect pose invariant faces. For this work, we extracted examples of training from AFLW (Annotated Facial Landmarks in the Wild) dataset that involve 21K images with 24K annotations of the face.
Evaluation of Power Management Strategy for Renewable Microgrid System Krishan Kumar; M. A. Ansari
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 6, No 2: June 2018
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v6i2.452

Abstract

This paper presents the evaluation and control of renewable energy sources based micro-grid system having solar photovoltaic, wind turbine generator, fuel cell and diesel engine generator. A battery storage system has also been installed to provide unintrupted power supply and to store excess power. The proposed micro-grid system is simulated on Matlab/Simulink software and the performance has been analysied with two cases considering different environmental conditions to check the optimal performance of the system. In the first case, the solar photovoltaic, fuel cell, diesel engine generator and battery storage system has been considered and in the second case, the solar photovoltaic source is replaced by the wind turbines. For both the cases, simulation has been done for 300 seconds to findout the optimal fulfilment of the demand. The time domain analysis has been done by varying the solar irradiance and wind speed in respective cases to check the system performance. This work shows the efficient control of various distributed energy resources in the micro-grid system and meeting the load demand efficiently.
Co-Authors Krishan Kumar Shivkaran Ravidas