Abdul Quddus Ansari - Academia.edu (original) (raw)

Papers by Abdul Quddus Ansari

Materials Today: Proceedings, Mar 1, 2023

2022 2nd Asian Conference on Innovation in Technology (ASIANCON), Aug 26, 2022

arXiv (Cornell University), Nov 17, 2015

Automating the customer analytics process is crucial for companies that manage distinct customer ... more Automating the customer analytics process is crucial for companies that manage distinct customer bases. In such data-rich and dynamic environments, visualization plays a key role in understanding events of interest. These ideas have led to the popularity of analytics dashboards, yet academic research has paid scant attention to these managerial needs. We develop a probabilistic, nonparametric framework for understanding and predicting individual-level spending using Gaussian process priors over latent functions that describe customer spending along calendar time, interpurchase time, and customer lifetime dimensions. These curves form a dashboard that provides a visual model-based representation of purchasing dynamics that is easily comprehensible. The model flexibly and automatically captures the form and duration of the impact of events that influence spend propensity, even when such events are unknown apriori. We illustrate the use of our Gaussian Process Propensity Model (GPPM) on data from two popular mobile games. We show that the GPPM generalizes hazard and buy-till-you-die models by incorporating calendar time dynamics while simultaneously accounting for recency and lifetime effects. It therefore provides insights about spending propensity beyond those available from these models. Finally, we show that the GPPM outperforms these benchmarks both in fitting and forecasting real and simulated spend data.

The Business & Management Collection, Jan 27, 2010

International Journal of Research in Medical Sciences, Apr 27, 2020

Background: Excessive daytime sleepiness is a key symptom in patients with sleep-breathing disord... more Background: Excessive daytime sleepiness is a key symptom in patients with sleep-breathing disorders (SBD) and represents a new major public health issue due to its repercussions. The ESS is a simple and validated method, which measures the probability of falling asleep in a variety of situations. Aims and objectives is to study the accuracy of the Epworth Sleepiness Scale (ESS) questionnaire in the identification of Obstructive Sleep Apnoea (OSA) in patients with symptoms of sleep disordered breathing in a tertiary care centre. Methods: This present study was conducted in the Department of Respiratory medicine, New Medical College, Kota on 70 adult patients who presented with symptoms of Sleep Disordered Breathing and underwent Type 2 Polysomnography after answering Epworth sleepiness score in Hindi Language. Results: Epworth sleepiness scale has predicted excessive day time sleepiness in 60% of study subjects with ESS score more than 10 taken as cut off. Mean value for ESS in the study was 10.78. 35.71% of the patients had severe OSA diagnosed by polysomnography and 30% patients had moderate OSA. Mild OSA was detected in 7.14% patients. Sensitivity of the ESS score >10 in diagnosing OSA was found to be 72.5%. Specificity of the scale was 73.6%.There was significant correlation between ESS score and diagnosis of OSA (p value <0.001). Conclusions: The study concludes that ESS has got good relevance in predicting OSA in patients with sleep disordered breathing.

International Journal of Research in Medical Sciences, Apr 27, 2020

A parapneumonic effusion refers to the collection or accumulation of exudative pleural fluid, mos... more A parapneumonic effusion refers to the collection or accumulation of exudative pleural fluid, mostly associated with ipsilateral lung infection, thats pneumonia. Parapneumonic effusions are mainly associated with bacterial infections. 1 Parapneumonic pleural effusions are classified into Uncomplicated parapneumonic effusions, which are exudative in nature, neutrophilic predominance effusion. In this stage Gram stain and culture are negative, glucose level greater than 60 mg/dl, pH above 7.20. 2,3 Complicated parapneumonic effusions, due to bacterial infection into the pleura. In this condition of parapneumonic effusion, there is a low glucose level, pH below 7.20. Cultures of pleural fluid from this stage are negative due to rapid bacterial clearance from the pleural space, or low bacterial count may explain this. The fluid termed as complicated because fibrinous band or adhesion form, its breakage needed for proper drainage and full resolution.

Advances in intelligent systems and computing, Sep 29, 2018

The interline power flow controller (IPFC) has two converter/inverters connected back to back wit... more The interline power flow controller (IPFC) has two converter/inverters connected back to back with DC link. One of the converter is knows as series inverter which improve voltage quality of the load bus and second inverter known as shunt converter is used to compensate the reactive power of load and minimize the losses of the transmission line. In this work, the impact of the IPFC is seen in IEEE-3 Bus systems. The first one is connected between Load Bus or PQ-Bus and the Generating Bus or PV-Bus to inject voltage at certain angle. And it compensates reactive demand of the load using novel control approach. Moreover, the second converter of the IPFC is connected between Slack Bus and Load Bus to inject the compensating current using the Instantaneous Symmetrical Voltage Component Theory (ISVCT) based control algorithm. And it compensates the reactive demand of the load. The impact assessment of the IPFC on IEEE-3 Bus system is verified using MATPOWER.

Communications, 2014

The mobility of the cellular users indicates non-uniform load (traffic) in different regions of t... more The mobility of the cellular users indicates non-uniform load (traffic) in different regions of the wireless network. This calls for a channel allocation technique which is able to adapt with the changing load pattern in different regions. The paper addresses the issue of efficient time bound channel allocation in cellular network with non-uniform traffic load distribution. The proposed technique identifies "heavy load cells and partitions the cells of the network into groups where the "heavy load cells will act as a group head. The number of such groups is not known a priori. A pure dynamic channel allocation technique, whether central or distributed, may require more computation and allocation time. A hybrid channel allocation technique being a combination of fixed and dynamic allocation can prove to be better time efficient channel allocation technique for realtime wireless communication networks. In this paper, we propose a hybrid traffic aware channel allocation technique which adapts itself on the basis of altering load patterns for every region. The technique is based on backpropagation algorithm for identifying the traffic trends of different regions or cells and utilizes the information for clustering cells and spectrum allocation in an intra-cluster manner.

Smart innovation, systems and technologies, 2016

Now a day, one of the prime concerns of mobile robot is path planning, in the area of industrial ... more Now a day, one of the prime concerns of mobile robot is path planning, in the area of industrial robotics. A path planning optimization method was proposed to calculate shortest collision free path from source to destination by avoiding static as well as dynamic obstacles. Therefore, it is necessary to select appropriate optimization technique for optimization of paths. Such problems can be solved by metaheuristic methods. This research paper demonstrates the comparison and analysis of two Soft Computing Techniques i.e. Ant Colony Optimization (ACO) and Teaching Learning Based Optimization (TLBO) by simulating respective algorithms for finding shortest path of a Mobile Robot by Obstacle avoidance & Path re-planning and Path Tracking. Both of these techniques seem to be a promising technique with relatively competitive performances. The ACO has been more widely used in that and it gives good solution with smaller numbers of predetermined parameters in comparison with other algorithms.

Smart Science, Oct 2, 2017

Abstract Network-on-Chip (NoC) has been developed as a most prevailing innovation in the paradigm... more Abstract Network-on-Chip (NoC) has been developed as a most prevailing innovation in the paradigm of communication-centric technology. It solves the limitations of bus-based systems, with the incorporation of 3D IC technology, and it reduces packaging density and improves performance of Multiprocessor System-on-Chip. There is need of suitable NoC topology for these applications and desired performances. This paper proposes a scalable binary tree-based topology for 2D and 3D NoCs. The average degree of the proposed network is reduced around 40% of the torus whereas the diameter also reduced significantly, as compared to other topologies.

Defence Science Journal, Sep 2, 2011

In this paper an attempt has been made to detect the face using the combination of integral image... more In this paper an attempt has been made to detect the face using the combination of integral image along with the cascade structured classifier which is built using Adaboost learning algorithm. The detected faces are then passed through a filtering process for discarding the non face regions. They are individually split up into five segments consisting of forehead, eyes, nose, mouth and chin. Each segment is considered as a separate image and Eigenface also called principal component analysis (PCA) features of each segment is computed. The faces having a slight pose are also aligned for proper segmentation. The test image is also segmented similarly and its PCA features are found. The segmental Euclidean distance classifier is used for matching the test image with the stored one. The success rate comes out to be 88 per cent on the CG database created from the databases of California Institute and Georgia Institute. However the performance of this approach on ORL database with the same features is only 70 per cent. For the sake of comparison, discrete cosine transform (DCT) and fuzzy features are tried on CG and ORL databases but using a well known classifier, support vector machine (SVM). Results of recognition rate with DCT features on SVM classifier are increased by 3 per cent over those due to PCA features and Euclidean distance classifier on the CG database. The results of recognition are improved to 96 per cent with fuzzy features on ORL database with SVM.

The Travelling Salesman Problem (TSP) is a very popular combinatorial optimization problem of rea... more The Travelling Salesman Problem (TSP) is a very popular combinatorial optimization problem of real world. The objective is to find out a shortest possible path travelled by a salesman while visited every city once and returned to the origin city. TSP is one of the NP hard problems and several attempts have been done to solve it by traditional methods. Computational methods give better solution for TSP as most of them are based on repetitive learning. In the proposed paper four optimization techniques are presented such as ant colony optimization (ACO), genetic algorithm (GA), hybrid technique of ant colony optimization (ACO) and genetic algorithm (GA) and hybrid technique of ant colony optimization (ACO) and cuckoo search (CS) algorithm is proposed and implemented for travelling salesman problem. The result shows that shortest efficient tour is obtained by new hybrid algorithm.

Marketing Science, Mar 1, 2022

Logos serve a fundamental role as the visual figureheads of brands. Yet, due to the difficulty of... more Logos serve a fundamental role as the visual figureheads of brands. Yet, due to the difficulty of using unstructured image data, prior research on logo design has largely been limited to non-quantitative studies. In this work, we explore the interplay between logo design and brand identity creation from a data-driven perspective. We develop both a novel logo feature extraction algorithm that uses modern image processing tools to decompose pixel-level image data into meaningful features, and a multiview representation learning framework that links these visual features to textual descriptions of firms, industry tags, and consumer ratings of brand personality. We apply this framework to a unique dataset of successful brands, to understand which brands se which logo features, and how consumers evaluate these brands' personalities. Moreover, we show that manipulating the model's learned representations through what we term "brand arithmetic" yields new brand identities, and can help with ideation. Finally, through an application to fast food branding, we show how our model can be used as a decision support tool for suggesting typical logo features for a brand, and for predicting consumers' reactions to new brands or rebranding efforts.

Multilevel structural equation models (SEM) have become increasingly popular in the psychometric ... more Multilevel structural equation models (SEM) have become increasingly popular in the psychometric literature (Goldstein &amp;amp;amp; McDonald, 1988; Longford &amp;amp;amp; Muthén, 1992; McDonald &amp;amp;amp; Goldstein, 1989; Muthén &amp;amp;amp; Sattora, 1989; Muthén, 1989, 1994). The rapid growth of ...

European Journal of Experimental Biology, 2013

Antioxidant plays an important role in inhibiting and scavenging free radicals, thus, providing p... more Antioxidant plays an important role in inhibiting and scavenging free radicals, thus, providing protection to human against infection and degenerative diseases. Now the modern research is directed towards "Natural antioxidants" from the herbal plants due to safe therapeutic. In the present paper we have investigated Antioxidant activity of extracts from Withania somnifera Dunal. for its free radical scavenging activity by adopting various in vitro methods. The extracts were investigated for the antioxidant activity using 2, 2-diphenyl, 1-picryl hydrazyl (DPPH) radical scavenging activity, reducing capacity, competition with DMSO, Hydroxyl group reducing activity, estimation of total phenol and estimation of Ascorbic acid. The polar flavonoid extracted was found to have highest % of DPPH (83.07%) scavenging activity. The measurement of total phenolics by folin-ciocalteau reagent indicated that 20 mg of powdered Withania somnifera contain 0.115 g of phenols equivalent of catechol.

Here, parameters is estimated of series and shunt voltage source converter (VSC) to design a thre... more Here, parameters is estimated of series and shunt voltage source converter (VSC) to design a three phase three wire UPQC for better understanding of VSC operation. The required parameters that could be considered while designing a UPQC are DC link voltage, capacitor value, shunt interfacing inductance, series interfacing inductance and series capacitance value. As the UPQC incorporates VSC thus, it is also required to design an appropriate switching frequency and ripple filter for both the VSC whereas a auxiliary device, series injection transformer is required to design for series VSC. The VA rating of series VSC is also needed while designing of the series voltage injection transformer. The performance analysis of a designed UPQC has been performed on MATLAB/Simulink.

Materials Today: Proceedings, Mar 1, 2023

2022 2nd Asian Conference on Innovation in Technology (ASIANCON), Aug 26, 2022

arXiv (Cornell University), Nov 17, 2015

Automating the customer analytics process is crucial for companies that manage distinct customer ... more Automating the customer analytics process is crucial for companies that manage distinct customer bases. In such data-rich and dynamic environments, visualization plays a key role in understanding events of interest. These ideas have led to the popularity of analytics dashboards, yet academic research has paid scant attention to these managerial needs. We develop a probabilistic, nonparametric framework for understanding and predicting individual-level spending using Gaussian process priors over latent functions that describe customer spending along calendar time, interpurchase time, and customer lifetime dimensions. These curves form a dashboard that provides a visual model-based representation of purchasing dynamics that is easily comprehensible. The model flexibly and automatically captures the form and duration of the impact of events that influence spend propensity, even when such events are unknown apriori. We illustrate the use of our Gaussian Process Propensity Model (GPPM) on data from two popular mobile games. We show that the GPPM generalizes hazard and buy-till-you-die models by incorporating calendar time dynamics while simultaneously accounting for recency and lifetime effects. It therefore provides insights about spending propensity beyond those available from these models. Finally, we show that the GPPM outperforms these benchmarks both in fitting and forecasting real and simulated spend data.

The Business & Management Collection, Jan 27, 2010

International Journal of Research in Medical Sciences, Apr 27, 2020

Background: Excessive daytime sleepiness is a key symptom in patients with sleep-breathing disord... more Background: Excessive daytime sleepiness is a key symptom in patients with sleep-breathing disorders (SBD) and represents a new major public health issue due to its repercussions. The ESS is a simple and validated method, which measures the probability of falling asleep in a variety of situations. Aims and objectives is to study the accuracy of the Epworth Sleepiness Scale (ESS) questionnaire in the identification of Obstructive Sleep Apnoea (OSA) in patients with symptoms of sleep disordered breathing in a tertiary care centre. Methods: This present study was conducted in the Department of Respiratory medicine, New Medical College, Kota on 70 adult patients who presented with symptoms of Sleep Disordered Breathing and underwent Type 2 Polysomnography after answering Epworth sleepiness score in Hindi Language. Results: Epworth sleepiness scale has predicted excessive day time sleepiness in 60% of study subjects with ESS score more than 10 taken as cut off. Mean value for ESS in the study was 10.78. 35.71% of the patients had severe OSA diagnosed by polysomnography and 30% patients had moderate OSA. Mild OSA was detected in 7.14% patients. Sensitivity of the ESS score >10 in diagnosing OSA was found to be 72.5%. Specificity of the scale was 73.6%.There was significant correlation between ESS score and diagnosis of OSA (p value <0.001). Conclusions: The study concludes that ESS has got good relevance in predicting OSA in patients with sleep disordered breathing.

International Journal of Research in Medical Sciences, Apr 27, 2020

A parapneumonic effusion refers to the collection or accumulation of exudative pleural fluid, mos... more A parapneumonic effusion refers to the collection or accumulation of exudative pleural fluid, mostly associated with ipsilateral lung infection, thats pneumonia. Parapneumonic effusions are mainly associated with bacterial infections. 1 Parapneumonic pleural effusions are classified into Uncomplicated parapneumonic effusions, which are exudative in nature, neutrophilic predominance effusion. In this stage Gram stain and culture are negative, glucose level greater than 60 mg/dl, pH above 7.20. 2,3 Complicated parapneumonic effusions, due to bacterial infection into the pleura. In this condition of parapneumonic effusion, there is a low glucose level, pH below 7.20. Cultures of pleural fluid from this stage are negative due to rapid bacterial clearance from the pleural space, or low bacterial count may explain this. The fluid termed as complicated because fibrinous band or adhesion form, its breakage needed for proper drainage and full resolution.

Advances in intelligent systems and computing, Sep 29, 2018

The interline power flow controller (IPFC) has two converter/inverters connected back to back wit... more The interline power flow controller (IPFC) has two converter/inverters connected back to back with DC link. One of the converter is knows as series inverter which improve voltage quality of the load bus and second inverter known as shunt converter is used to compensate the reactive power of load and minimize the losses of the transmission line. In this work, the impact of the IPFC is seen in IEEE-3 Bus systems. The first one is connected between Load Bus or PQ-Bus and the Generating Bus or PV-Bus to inject voltage at certain angle. And it compensates reactive demand of the load using novel control approach. Moreover, the second converter of the IPFC is connected between Slack Bus and Load Bus to inject the compensating current using the Instantaneous Symmetrical Voltage Component Theory (ISVCT) based control algorithm. And it compensates the reactive demand of the load. The impact assessment of the IPFC on IEEE-3 Bus system is verified using MATPOWER.

Communications, 2014

The mobility of the cellular users indicates non-uniform load (traffic) in different regions of t... more The mobility of the cellular users indicates non-uniform load (traffic) in different regions of the wireless network. This calls for a channel allocation technique which is able to adapt with the changing load pattern in different regions. The paper addresses the issue of efficient time bound channel allocation in cellular network with non-uniform traffic load distribution. The proposed technique identifies "heavy load cells and partitions the cells of the network into groups where the "heavy load cells will act as a group head. The number of such groups is not known a priori. A pure dynamic channel allocation technique, whether central or distributed, may require more computation and allocation time. A hybrid channel allocation technique being a combination of fixed and dynamic allocation can prove to be better time efficient channel allocation technique for realtime wireless communication networks. In this paper, we propose a hybrid traffic aware channel allocation technique which adapts itself on the basis of altering load patterns for every region. The technique is based on backpropagation algorithm for identifying the traffic trends of different regions or cells and utilizes the information for clustering cells and spectrum allocation in an intra-cluster manner.

Smart innovation, systems and technologies, 2016

Now a day, one of the prime concerns of mobile robot is path planning, in the area of industrial ... more Now a day, one of the prime concerns of mobile robot is path planning, in the area of industrial robotics. A path planning optimization method was proposed to calculate shortest collision free path from source to destination by avoiding static as well as dynamic obstacles. Therefore, it is necessary to select appropriate optimization technique for optimization of paths. Such problems can be solved by metaheuristic methods. This research paper demonstrates the comparison and analysis of two Soft Computing Techniques i.e. Ant Colony Optimization (ACO) and Teaching Learning Based Optimization (TLBO) by simulating respective algorithms for finding shortest path of a Mobile Robot by Obstacle avoidance & Path re-planning and Path Tracking. Both of these techniques seem to be a promising technique with relatively competitive performances. The ACO has been more widely used in that and it gives good solution with smaller numbers of predetermined parameters in comparison with other algorithms.

Smart Science, Oct 2, 2017

Abstract Network-on-Chip (NoC) has been developed as a most prevailing innovation in the paradigm... more Abstract Network-on-Chip (NoC) has been developed as a most prevailing innovation in the paradigm of communication-centric technology. It solves the limitations of bus-based systems, with the incorporation of 3D IC technology, and it reduces packaging density and improves performance of Multiprocessor System-on-Chip. There is need of suitable NoC topology for these applications and desired performances. This paper proposes a scalable binary tree-based topology for 2D and 3D NoCs. The average degree of the proposed network is reduced around 40% of the torus whereas the diameter also reduced significantly, as compared to other topologies.

Defence Science Journal, Sep 2, 2011

In this paper an attempt has been made to detect the face using the combination of integral image... more In this paper an attempt has been made to detect the face using the combination of integral image along with the cascade structured classifier which is built using Adaboost learning algorithm. The detected faces are then passed through a filtering process for discarding the non face regions. They are individually split up into five segments consisting of forehead, eyes, nose, mouth and chin. Each segment is considered as a separate image and Eigenface also called principal component analysis (PCA) features of each segment is computed. The faces having a slight pose are also aligned for proper segmentation. The test image is also segmented similarly and its PCA features are found. The segmental Euclidean distance classifier is used for matching the test image with the stored one. The success rate comes out to be 88 per cent on the CG database created from the databases of California Institute and Georgia Institute. However the performance of this approach on ORL database with the same features is only 70 per cent. For the sake of comparison, discrete cosine transform (DCT) and fuzzy features are tried on CG and ORL databases but using a well known classifier, support vector machine (SVM). Results of recognition rate with DCT features on SVM classifier are increased by 3 per cent over those due to PCA features and Euclidean distance classifier on the CG database. The results of recognition are improved to 96 per cent with fuzzy features on ORL database with SVM.

The Travelling Salesman Problem (TSP) is a very popular combinatorial optimization problem of rea... more The Travelling Salesman Problem (TSP) is a very popular combinatorial optimization problem of real world. The objective is to find out a shortest possible path travelled by a salesman while visited every city once and returned to the origin city. TSP is one of the NP hard problems and several attempts have been done to solve it by traditional methods. Computational methods give better solution for TSP as most of them are based on repetitive learning. In the proposed paper four optimization techniques are presented such as ant colony optimization (ACO), genetic algorithm (GA), hybrid technique of ant colony optimization (ACO) and genetic algorithm (GA) and hybrid technique of ant colony optimization (ACO) and cuckoo search (CS) algorithm is proposed and implemented for travelling salesman problem. The result shows that shortest efficient tour is obtained by new hybrid algorithm.

Marketing Science, Mar 1, 2022

Logos serve a fundamental role as the visual figureheads of brands. Yet, due to the difficulty of... more Logos serve a fundamental role as the visual figureheads of brands. Yet, due to the difficulty of using unstructured image data, prior research on logo design has largely been limited to non-quantitative studies. In this work, we explore the interplay between logo design and brand identity creation from a data-driven perspective. We develop both a novel logo feature extraction algorithm that uses modern image processing tools to decompose pixel-level image data into meaningful features, and a multiview representation learning framework that links these visual features to textual descriptions of firms, industry tags, and consumer ratings of brand personality. We apply this framework to a unique dataset of successful brands, to understand which brands se which logo features, and how consumers evaluate these brands' personalities. Moreover, we show that manipulating the model's learned representations through what we term "brand arithmetic" yields new brand identities, and can help with ideation. Finally, through an application to fast food branding, we show how our model can be used as a decision support tool for suggesting typical logo features for a brand, and for predicting consumers' reactions to new brands or rebranding efforts.

Multilevel structural equation models (SEM) have become increasingly popular in the psychometric ... more Multilevel structural equation models (SEM) have become increasingly popular in the psychometric literature (Goldstein &amp;amp;amp; McDonald, 1988; Longford &amp;amp;amp; Muthén, 1992; McDonald &amp;amp;amp; Goldstein, 1989; Muthén &amp;amp;amp; Sattora, 1989; Muthén, 1989, 1994). The rapid growth of ...

European Journal of Experimental Biology, 2013

Antioxidant plays an important role in inhibiting and scavenging free radicals, thus, providing p... more Antioxidant plays an important role in inhibiting and scavenging free radicals, thus, providing protection to human against infection and degenerative diseases. Now the modern research is directed towards "Natural antioxidants" from the herbal plants due to safe therapeutic. In the present paper we have investigated Antioxidant activity of extracts from Withania somnifera Dunal. for its free radical scavenging activity by adopting various in vitro methods. The extracts were investigated for the antioxidant activity using 2, 2-diphenyl, 1-picryl hydrazyl (DPPH) radical scavenging activity, reducing capacity, competition with DMSO, Hydroxyl group reducing activity, estimation of total phenol and estimation of Ascorbic acid. The polar flavonoid extracted was found to have highest % of DPPH (83.07%) scavenging activity. The measurement of total phenolics by folin-ciocalteau reagent indicated that 20 mg of powdered Withania somnifera contain 0.115 g of phenols equivalent of catechol.

Here, parameters is estimated of series and shunt voltage source converter (VSC) to design a thre... more Here, parameters is estimated of series and shunt voltage source converter (VSC) to design a three phase three wire UPQC for better understanding of VSC operation. The required parameters that could be considered while designing a UPQC are DC link voltage, capacitor value, shunt interfacing inductance, series interfacing inductance and series capacitance value. As the UPQC incorporates VSC thus, it is also required to design an appropriate switching frequency and ripple filter for both the VSC whereas a auxiliary device, series injection transformer is required to design for series VSC. The VA rating of series VSC is also needed while designing of the series voltage injection transformer. The performance analysis of a designed UPQC has been performed on MATLAB/Simulink.