Aslam Shaik - Academia.edu (original) (raw)
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Papers by Aslam Shaik
The patent office, 2021
DFM- Predict Gender Age Country• is an apparatus for wireless communications includes a processin... more DFM- Predict Gender Age Country• is an apparatus for wireless communications includes a processing
system and the processing system is configured to receive an input d faces of a user, split the input faces into a frames. The invented
technology also classifies each of the frames as one selected from the group consisting of a non-faces frame and a faces frame,
determine a pixel of each of the frames in a subset of the faces frames, and identify a gender, age and country of the user from the
determined pixel. The invented technology also determines the pixel, the processing system is configured to filter the faces frames to
compute an error signal, compute an autocorrelation of the error signal, find a maximum autocorrelation value using deep learning
programming and set the pixel to an index of the maximum autocorrelation value. The invented technology also maintains a table
comprising a male score for each pixel and a female score for each bit-map the male scores being determined by computing a pixel of
each of a number of male frames counting a number of the frames with each particular pixel. The invented technology also setting the
male score for each pixel to a function of the number of the frames with the pixel divided by the number of male frames the female
scores being determined by computing a pixel of each of a number of female frames counting a number of the frames with each
particular pixel, and setting the female score for each pixel to a function of the number of the frames with the pixel divided by the
number of female frames. The invented technology also includes a various image processing may benefit from the application deep
convolutional neural networks. For example: a deep multi-task learning framework may assist face detection, for example when
combined with landmark localization, pose estimation, and gender recognition. The invented technology also includes a first module
of at least three modules configured to generate class independent region proposals to provide a region. The apparatus can also
include a second module of the at least three modules configured to classify the region as face or non-face using a multi-task analysis.
The apparatus can further include a third module configured to perform post-processing on the classified region.
Taylor and francis, 2023
A hybrid BCMPO technique for optimal scheduling of electric vehicle aggregators under market pric... more A hybrid BCMPO technique for optimal scheduling of electric vehicle aggregators under market price uncertainty is proposed in this manuscript. The proposed method is a combined performance of balancing composite motion optimization (BCMO) and political optimizer (PO); thus, it is known as a BCMPO system. The hybrid optimization system is used in this work to explore the programming of electric vehicle aggregators under market price uncertainty. The proposed electric vehicle aggregator contributes to the market price for increasing profits. To model the uncertainty of market price with the BCMPO system, the higher and lower levels of the upstream grid prices are utilized. The results of the proposed algorithm are utilized to build numerous charging and discharging approaches that may be used via the operator for a robust EV aggregator scheduling under the uncertainty of the upstream grid price. At that time, the proposed model accomplished on MAT-LAB/Simulink platform performance is related to the existing systems, such as genetic algorithm (GA), particle swarm algorithm (PSO) and elephant herding optimization (EHO). The profit of EVs aggregator vs. robust profit using the proposed technique is 10110.
Power Quality has become an important issue for electric utilities and the customers with uninter... more Power Quality has become an important issue for electric utilities and the customers with uninterrupted and reliable supply. Power Quality disturbances such as interruption in line, noise, distortion of waves like voltage sag, voltage swell, harmonics results in malfunction of equipment and causes failure of device. And at times it may cause unnecessary interruption of supply. Thus an intelligent classifier is needed to protect the device and to maintain the uninterrupted supply. This paper deals with the proposal for the development of an intelligent classifier by comparing the wave patterns of various Power Quality Disturbances and Power System Faults. Here ANN is used as classifier and wavelet is used as mechanism. This is modelled and simulated using MATLAB.
International journal of simulation: systems, science & technology
International Journal of Intelligent Engineering and Systems
Power quality disturbances (PQD) are becoming more and more complicated due to the vast growth of... more Power quality disturbances (PQD) are becoming more and more complicated due to the vast growth of power quality oriented applications particularly the power electronic equipment's. Since the power with less power quality consequences to a huge loss in the electronic devices, there is a need to detect the power quality disturbances more effectively. This paper proposes a new method for PQD detection and classification based on the entropy characteristics of PQD signals and a novel support vector machine algorithm (SVM). The proposed approach develops a flexible entropy based feature selection (FEFS) mechanism to extract the unique characteristics of all types of PQDs such that the detection system can detect more effectively with in less time. Further to increase the accuracy of individual PQDs, this paper proposed Multi Class SVM (MC-SVM). Various experiments are conducted over the proposed work and at every experiment; the performance is measured through Classification accuracy, False Alarm Rate and computation time. Further a comparative analysis reveals the outstanding performance of proposed approach when compared with conventional approaches.
The patent office, 2021
DFM- Predict Gender Age Country• is an apparatus for wireless communications includes a processin... more DFM- Predict Gender Age Country• is an apparatus for wireless communications includes a processing
system and the processing system is configured to receive an input d faces of a user, split the input faces into a frames. The invented
technology also classifies each of the frames as one selected from the group consisting of a non-faces frame and a faces frame,
determine a pixel of each of the frames in a subset of the faces frames, and identify a gender, age and country of the user from the
determined pixel. The invented technology also determines the pixel, the processing system is configured to filter the faces frames to
compute an error signal, compute an autocorrelation of the error signal, find a maximum autocorrelation value using deep learning
programming and set the pixel to an index of the maximum autocorrelation value. The invented technology also maintains a table
comprising a male score for each pixel and a female score for each bit-map the male scores being determined by computing a pixel of
each of a number of male frames counting a number of the frames with each particular pixel. The invented technology also setting the
male score for each pixel to a function of the number of the frames with the pixel divided by the number of male frames the female
scores being determined by computing a pixel of each of a number of female frames counting a number of the frames with each
particular pixel, and setting the female score for each pixel to a function of the number of the frames with the pixel divided by the
number of female frames. The invented technology also includes a various image processing may benefit from the application deep
convolutional neural networks. For example: a deep multi-task learning framework may assist face detection, for example when
combined with landmark localization, pose estimation, and gender recognition. The invented technology also includes a first module
of at least three modules configured to generate class independent region proposals to provide a region. The apparatus can also
include a second module of the at least three modules configured to classify the region as face or non-face using a multi-task analysis.
The apparatus can further include a third module configured to perform post-processing on the classified region.
Taylor and francis, 2023
A hybrid BCMPO technique for optimal scheduling of electric vehicle aggregators under market pric... more A hybrid BCMPO technique for optimal scheduling of electric vehicle aggregators under market price uncertainty is proposed in this manuscript. The proposed method is a combined performance of balancing composite motion optimization (BCMO) and political optimizer (PO); thus, it is known as a BCMPO system. The hybrid optimization system is used in this work to explore the programming of electric vehicle aggregators under market price uncertainty. The proposed electric vehicle aggregator contributes to the market price for increasing profits. To model the uncertainty of market price with the BCMPO system, the higher and lower levels of the upstream grid prices are utilized. The results of the proposed algorithm are utilized to build numerous charging and discharging approaches that may be used via the operator for a robust EV aggregator scheduling under the uncertainty of the upstream grid price. At that time, the proposed model accomplished on MAT-LAB/Simulink platform performance is related to the existing systems, such as genetic algorithm (GA), particle swarm algorithm (PSO) and elephant herding optimization (EHO). The profit of EVs aggregator vs. robust profit using the proposed technique is 10110.
Power Quality has become an important issue for electric utilities and the customers with uninter... more Power Quality has become an important issue for electric utilities and the customers with uninterrupted and reliable supply. Power Quality disturbances such as interruption in line, noise, distortion of waves like voltage sag, voltage swell, harmonics results in malfunction of equipment and causes failure of device. And at times it may cause unnecessary interruption of supply. Thus an intelligent classifier is needed to protect the device and to maintain the uninterrupted supply. This paper deals with the proposal for the development of an intelligent classifier by comparing the wave patterns of various Power Quality Disturbances and Power System Faults. Here ANN is used as classifier and wavelet is used as mechanism. This is modelled and simulated using MATLAB.
International journal of simulation: systems, science & technology
International Journal of Intelligent Engineering and Systems
Power quality disturbances (PQD) are becoming more and more complicated due to the vast growth of... more Power quality disturbances (PQD) are becoming more and more complicated due to the vast growth of power quality oriented applications particularly the power electronic equipment's. Since the power with less power quality consequences to a huge loss in the electronic devices, there is a need to detect the power quality disturbances more effectively. This paper proposes a new method for PQD detection and classification based on the entropy characteristics of PQD signals and a novel support vector machine algorithm (SVM). The proposed approach develops a flexible entropy based feature selection (FEFS) mechanism to extract the unique characteristics of all types of PQDs such that the detection system can detect more effectively with in less time. Further to increase the accuracy of individual PQDs, this paper proposed Multi Class SVM (MC-SVM). Various experiments are conducted over the proposed work and at every experiment; the performance is measured through Classification accuracy, False Alarm Rate and computation time. Further a comparative analysis reveals the outstanding performance of proposed approach when compared with conventional approaches.