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Papers by Rishabh Singhal

Research paper thumbnail of Reduced order modelling and controller design of different power system models using grey wolf optimizer

Reduced order modelling and controller design of different power system models using grey wolf optimizer

Research paper thumbnail of A Novel Heuristic for Estimating Two-Colorability for Conflict-Free Coloring in Simple Graphs

A Novel Heuristic for Estimating Two-Colorability for Conflict-Free Coloring in Simple Graphs

Lecture Notes in Mechanical Engineering, 2021

Research paper thumbnail of Reduced-Order Modelling and Control of a Single-Machine Infinite Bus System with the Grey Wolf Optimizer (GWO)

Reduced-Order Modelling and Control of a Single-Machine Infinite Bus System with the Grey Wolf Optimizer (GWO)

Research paper thumbnail of Productivity Improvement and Capacity Enhancement of an Automobile Industry: A Case Study

International Journal of Engineering Research and, 2017

This paper presents the result of a study undertaken with the overarching objective of investigat... more This paper presents the result of a study undertaken with the overarching objective of investigating the impact of productivity improvement approaches in automobile industries. Optimization of robotic arm/manipulators path in focused areas helps in eliminating non value added activities and results increase in productivity. Substantial reduction in material handling and operator manual work, reduction in manpower by using MOST (Maynard operation sequence technique) is obtained in detail. The tool Kaizen (continuous improvement) is applied as a way to progress towards lean manufacturing and as a formula to lead the activities of improvement. This work is mainly concentrated to find bottle neck areas in weld, paint and assembly shop of automobile industry under consideration. The main objective is to analyze delay time and line stoppages, also to minimize down time and develop several strategies to eliminate waste on shop floor. In this paper the TSP (Travelling salesman problem) and other lean manufacturing tools such as automation, Kaizen, MOST (Maynard operational sequence technique) has been used to increase the productivity and capacity of a shop to achieve desired market demand. Results obtained are quite satisfactory in terms of improvement in market share, productivity and reducing the waiting time of vehicles in market.

Research paper thumbnail of A Hybrid Approach for Model Order Reduction and Controller Design of Large-Scale Power Systems

A Hybrid Approach for Model Order Reduction and Controller Design of Large-Scale Power Systems

Research paper thumbnail of A Heuristic Approach for Modelling and Control of an Automatic Voltage Regulator (AVR)

A Heuristic Approach for Modelling and Control of an Automatic Voltage Regulator (AVR)

Research paper thumbnail of R2Q: A Risk Quantification Framework to Authorize Requests in Web-based Collaborations

R2Q: A Risk Quantification Framework to Authorize Requests in Web-based Collaborations

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

Web-based collaboration provides a platform which allows users from different domains to share an... more Web-based collaboration provides a platform which allows users from different domains to share and access information. In such an environment, mitigating threats from insider attacks is challenging, particularly if state-of-the-art token-based access control is used to authorize (permit or deny) requests. This entails the need for an additional layer of authorization based on soft-security factors such as the reputation of the requesters, risks involved in requests, and so on to make the final decision. In this paper, we propose a novel risk quantification framework, called R2QR2QR2Q, which exploits a weighted regression approach to compute the expected threat related to a collaboration request. Our model combines the shared object's sensitivity, access mode of the request, requester's security level and reputation, and maps the expected threat to a risk score using the prospect theory (PT) inspired value functions to actualize decision making under uncertainty of economic outco...

Research paper thumbnail of Factor Graph-based Message Passing Technique for Distributed Resource Allocation in 5G Networks

Factor Graph-based Message Passing Technique for Distributed Resource Allocation in 5G Networks

2019 11th International Conference on Communication Systems & Networks (COMSNETS), 2019

Next generation 5G cellular networks are intended to provide higher data rates, excellent user co... more Next generation 5G cellular networks are intended to provide higher data rates, excellent user coverage, low latency, and low power consumption. Since 5G is expected to have a multitier architecture consisting of macro cells, small cells and Device-to-Device communication altogether but the reported works so far have considered either one of these but not all in resource allocation (RA) in heterogeneous interference model. Moreover, heterogeneous systems using centralized schemes are not scalable with respect to different constraints including interference. We propose a distributed scheme for RA in Orthogonal Frequency Division Multiple Access (OFDMA) based multi-tier cellular network for maximizing the user’s data rate by keeping all kinds of interference constraints into mind. The formulated problem is an NP-hard non-convex non-linear optimization problem. The proposed algorithm solves RA problem through a distributed message passing approach which uses factor graph to model the d...

Research paper thumbnail of Head-Movement Analysis of 360° Affective Experience

2021 IEEE 7th International Conference on Virtual Reality (ICVR), 2021

The current study aims to analyse VR measures in correspondence with 360°virtual affective experi... more The current study aims to analyse VR measures in correspondence with 360°virtual affective experiences to understand the underlying spatio-temporal attention processes. We selected extreme pleasant and extreme unpleasant emotional videos from the Stanford affective database and displayed to participants on HMD VR. The participants' task was to explore the video and report their affective experience using the Self-Assessment Manikin (SAM) scale. The exploration behaviour was analysed using head-tracking parameters, such as standard deviation of all the three head-rotation axes (yaw, pitch and roll), angular speed and region-wise analysis. We observed a positive correlation between standard deviation of yaw and valence, and angular speed and valence. The result suggests that affective experience not only increases the scope of attention spatially (wide scanning), it also motivates to seek more information that leads to more head-movement during exploration. In regionwise analysis, we observed front field-of-view was primarily explored, and rear field-of-view was least explored, showing natural responses similar to real environments. In addition, we used Beck Depression Inventory-II (BDI) to assess participants' emotional state, specifically depression symptoms. The relation between virtual affective experience and 360°exploration behaviour is discussed in light of the BDI categories. The study findings broaden the scope for VR affective research by enabling psychomotor assessment in more ecologically valid settings.

Research paper thumbnail of Distributed Randomized -Clustering Based PCID Assignment for Ultra-Dense Femtocellular Networks

Distributed Randomized -Clustering Based PCID Assignment for Ultra-Dense Femtocellular Networks

IEEE Transactions on Parallel and Distributed Systems, 2018

Next-generation wireless networks are going to have highly dense, small cell structure with a lar... more Next-generation wireless networks are going to have highly dense, small cell structure with a large number of femtocells. The dense deployment of the femtocell network architecture is expected to meet the growing data demand by leveraging millimeter-wave structure of 5G wireless networks. However, arbitrary deployment of large number of femtocells underlying a macrocell will pose a challenge for collision and confusion-free Physical Cell ID (PCID) assignments as the total number of available PCIDs is limited to 504. In this paper we propose a distributed, randomized kkk -clustering algorithm for collision and confusion-free PCID assignment problem, which is known to be NP-complete. To reduce the total control message flow, we create overlapping clusters in ultra-dense femtocellular networks, where each cluster head runs the distributed randomized PCID allocation algorithm and locally monitors the conflicts to avoid the collision and confusion constraints. We prove the correctness of our proposed algorithm and analyze its time and message complexity. Through simulation experiments, we also show the effect of different parameters on the PCID allocation objectives.

Research paper thumbnail of The Stability of Adhesive Bonding Between Silicone Rubber and Alumina for Neural Prostheses

The Stability of Adhesive Bonding Between Silicone Rubber and Alumina for Neural Prostheses

The Journal of Adhesion, 1983

Thermodynamic considerations using surface tension data involving model compounds show that the a... more Thermodynamic considerations using surface tension data involving model compounds show that the adhesive bond between a silicone rubber and an alumina substrate is not stable in the presence of water if only dispersion forces are effective. The observed stability is due to chemical links which form before the rubber crosslinks thus removing reactivity.

Research paper thumbnail of Reduced order modelling and controller design of different power system models using grey wolf optimizer

Reduced order modelling and controller design of different power system models using grey wolf optimizer

Research paper thumbnail of A Novel Heuristic for Estimating Two-Colorability for Conflict-Free Coloring in Simple Graphs

A Novel Heuristic for Estimating Two-Colorability for Conflict-Free Coloring in Simple Graphs

Lecture Notes in Mechanical Engineering, 2021

Research paper thumbnail of Reduced-Order Modelling and Control of a Single-Machine Infinite Bus System with the Grey Wolf Optimizer (GWO)

Reduced-Order Modelling and Control of a Single-Machine Infinite Bus System with the Grey Wolf Optimizer (GWO)

Research paper thumbnail of Productivity Improvement and Capacity Enhancement of an Automobile Industry: A Case Study

International Journal of Engineering Research and, 2017

This paper presents the result of a study undertaken with the overarching objective of investigat... more This paper presents the result of a study undertaken with the overarching objective of investigating the impact of productivity improvement approaches in automobile industries. Optimization of robotic arm/manipulators path in focused areas helps in eliminating non value added activities and results increase in productivity. Substantial reduction in material handling and operator manual work, reduction in manpower by using MOST (Maynard operation sequence technique) is obtained in detail. The tool Kaizen (continuous improvement) is applied as a way to progress towards lean manufacturing and as a formula to lead the activities of improvement. This work is mainly concentrated to find bottle neck areas in weld, paint and assembly shop of automobile industry under consideration. The main objective is to analyze delay time and line stoppages, also to minimize down time and develop several strategies to eliminate waste on shop floor. In this paper the TSP (Travelling salesman problem) and other lean manufacturing tools such as automation, Kaizen, MOST (Maynard operational sequence technique) has been used to increase the productivity and capacity of a shop to achieve desired market demand. Results obtained are quite satisfactory in terms of improvement in market share, productivity and reducing the waiting time of vehicles in market.

Research paper thumbnail of A Hybrid Approach for Model Order Reduction and Controller Design of Large-Scale Power Systems

A Hybrid Approach for Model Order Reduction and Controller Design of Large-Scale Power Systems

Research paper thumbnail of A Heuristic Approach for Modelling and Control of an Automatic Voltage Regulator (AVR)

A Heuristic Approach for Modelling and Control of an Automatic Voltage Regulator (AVR)

Research paper thumbnail of R2Q: A Risk Quantification Framework to Authorize Requests in Web-based Collaborations

R2Q: A Risk Quantification Framework to Authorize Requests in Web-based Collaborations

Proceedings of the 2019 ACM Asia Conference on Computer and Communications Security, 2019

Web-based collaboration provides a platform which allows users from different domains to share an... more Web-based collaboration provides a platform which allows users from different domains to share and access information. In such an environment, mitigating threats from insider attacks is challenging, particularly if state-of-the-art token-based access control is used to authorize (permit or deny) requests. This entails the need for an additional layer of authorization based on soft-security factors such as the reputation of the requesters, risks involved in requests, and so on to make the final decision. In this paper, we propose a novel risk quantification framework, called R2QR2QR2Q, which exploits a weighted regression approach to compute the expected threat related to a collaboration request. Our model combines the shared object's sensitivity, access mode of the request, requester's security level and reputation, and maps the expected threat to a risk score using the prospect theory (PT) inspired value functions to actualize decision making under uncertainty of economic outco...

Research paper thumbnail of Factor Graph-based Message Passing Technique for Distributed Resource Allocation in 5G Networks

Factor Graph-based Message Passing Technique for Distributed Resource Allocation in 5G Networks

2019 11th International Conference on Communication Systems & Networks (COMSNETS), 2019

Next generation 5G cellular networks are intended to provide higher data rates, excellent user co... more Next generation 5G cellular networks are intended to provide higher data rates, excellent user coverage, low latency, and low power consumption. Since 5G is expected to have a multitier architecture consisting of macro cells, small cells and Device-to-Device communication altogether but the reported works so far have considered either one of these but not all in resource allocation (RA) in heterogeneous interference model. Moreover, heterogeneous systems using centralized schemes are not scalable with respect to different constraints including interference. We propose a distributed scheme for RA in Orthogonal Frequency Division Multiple Access (OFDMA) based multi-tier cellular network for maximizing the user’s data rate by keeping all kinds of interference constraints into mind. The formulated problem is an NP-hard non-convex non-linear optimization problem. The proposed algorithm solves RA problem through a distributed message passing approach which uses factor graph to model the d...

Research paper thumbnail of Head-Movement Analysis of 360° Affective Experience

2021 IEEE 7th International Conference on Virtual Reality (ICVR), 2021

The current study aims to analyse VR measures in correspondence with 360°virtual affective experi... more The current study aims to analyse VR measures in correspondence with 360°virtual affective experiences to understand the underlying spatio-temporal attention processes. We selected extreme pleasant and extreme unpleasant emotional videos from the Stanford affective database and displayed to participants on HMD VR. The participants' task was to explore the video and report their affective experience using the Self-Assessment Manikin (SAM) scale. The exploration behaviour was analysed using head-tracking parameters, such as standard deviation of all the three head-rotation axes (yaw, pitch and roll), angular speed and region-wise analysis. We observed a positive correlation between standard deviation of yaw and valence, and angular speed and valence. The result suggests that affective experience not only increases the scope of attention spatially (wide scanning), it also motivates to seek more information that leads to more head-movement during exploration. In regionwise analysis, we observed front field-of-view was primarily explored, and rear field-of-view was least explored, showing natural responses similar to real environments. In addition, we used Beck Depression Inventory-II (BDI) to assess participants' emotional state, specifically depression symptoms. The relation between virtual affective experience and 360°exploration behaviour is discussed in light of the BDI categories. The study findings broaden the scope for VR affective research by enabling psychomotor assessment in more ecologically valid settings.

Research paper thumbnail of Distributed Randomized -Clustering Based PCID Assignment for Ultra-Dense Femtocellular Networks

Distributed Randomized -Clustering Based PCID Assignment for Ultra-Dense Femtocellular Networks

IEEE Transactions on Parallel and Distributed Systems, 2018

Next-generation wireless networks are going to have highly dense, small cell structure with a lar... more Next-generation wireless networks are going to have highly dense, small cell structure with a large number of femtocells. The dense deployment of the femtocell network architecture is expected to meet the growing data demand by leveraging millimeter-wave structure of 5G wireless networks. However, arbitrary deployment of large number of femtocells underlying a macrocell will pose a challenge for collision and confusion-free Physical Cell ID (PCID) assignments as the total number of available PCIDs is limited to 504. In this paper we propose a distributed, randomized kkk -clustering algorithm for collision and confusion-free PCID assignment problem, which is known to be NP-complete. To reduce the total control message flow, we create overlapping clusters in ultra-dense femtocellular networks, where each cluster head runs the distributed randomized PCID allocation algorithm and locally monitors the conflicts to avoid the collision and confusion constraints. We prove the correctness of our proposed algorithm and analyze its time and message complexity. Through simulation experiments, we also show the effect of different parameters on the PCID allocation objectives.

Research paper thumbnail of The Stability of Adhesive Bonding Between Silicone Rubber and Alumina for Neural Prostheses

The Stability of Adhesive Bonding Between Silicone Rubber and Alumina for Neural Prostheses

The Journal of Adhesion, 1983

Thermodynamic considerations using surface tension data involving model compounds show that the a... more Thermodynamic considerations using surface tension data involving model compounds show that the adhesive bond between a silicone rubber and an alumina substrate is not stable in the presence of water if only dispersion forces are effective. The observed stability is due to chemical links which form before the rubber crosslinks thus removing reactivity.