puja das - Academia.edu (original) (raw)
Papers by puja das
International Journal of Computer Science and Informatics, 2022
A unique Tourism Decision Making System TDMS) describes and evaluates the evaluation of research ... more A unique Tourism Decision Making System TDMS) describes and evaluates the evaluation of research and developments in information technology meant for pronouncement sustain as well as examination during the sector of visiting the attractions. Individuals in the tourism sector are classified according to their decision-making technologies. The current trends and growth directions of choice help technologies were analysed for visitors from various advertising categories. The potential to provide customising, augmentation, and help for visitors at all phases of their trips by integrating modern automated approaches with GIS capabilities demonstrates the need for breakthroughs in digital advanced analytics.
International Journal of Computer Science and Informatics, 2022
Throughout the age of 5G technology, the majority of contactless banking is made via software tha... more Throughout the age of 5G technology, the majority of contactless banking is made via software that is enabled by a wide range of financial platforms. Several alternative financing channels provide access to a variety of services. The opportunity for hackers to engage in nefarious behaviour such as payment account hacking, identity theft, and payment system assaults stages of clearances with e-tourism, monetary information is kept in a database. Payment issues can be caused by a centralised cloud server. Throughout the periods of heavy congestion, the abovementioned problems are solvable by utilising a decentralised system like blockchain, it allows for the maintenance of trustworthiness between distinct groups of financial institutions, tour companies, airways, and trains are examples of consumers. Cruise ships, accommodations, cafes, as well as regional cabs are all available. Inspired mostly by following the foregoing debate, we suggest the blockchain Enables Secure Smart Hospital...
2019 2nd International Conference on Innovation in Engineering and Technology (ICIET), 2019
In this research, the impact of gate dielectric, doping concentration and channel length on the t... more In this research, the impact of gate dielectric, doping concentration and channel length on the transfer characteristics of cylindrical gate-all-around junctionless transistor is resolved by using the CVT model approach by using TCAD Silvaco Atlas. Short channel effect parameters like Drain induced barrier lowering (DIBL), Threshold Voltage Roll-off (TVRO), Subthreshold Swing (SS), on current and off current ratio (Ion/Ioff) for the CG structure of n-channel gate-all-around JLNW transistor are analyzed. Depletion of carriers in the device layer of cylindrical gate-all-around JLNWT are more effective in comparison with tri-gate, double gate, rectangular gate-all-around JLNWT. In quintessence, the Cylindrical gate-all-around JLNW transistor exhibits better transfer characteristics with a high Ion/Ioff ratio, SS is near about to the 60mV/decade which is ideal and highly reduced DIBL. Moreover, the Cylindrical gate-all-around JLNW transistor has better control over the carriers which flow through the device layer. In short, a Cylindrical gate-all-around JLNW transistor established as a promising candidate having benefits of reduced short channel effects and low power operation at nanoscale technology.
2021 IEEE Globecom Workshops (GC Wkshps), 2021
Medical health care centres are seen as a potential paradigm for dealing with large amounts of da... more Medical health care centres are seen as a potential paradigm for dealing with large amounts of data utilizing artificial intelligence (AI). The fast growth in the massive volume of data created by connected devices in the health paradigm brings up new opportunities for data sharing to improve the quality of service for developing applications. Traditional AI approaches frequently need centralized data gathering and model training within a single company, which is a significant flaw owing to the lack of privacy and security of raw data transfer through mobile networks. The leakage of sensitive data can result in substantial consequences for the providers, in addition to financial loss. For that, we first build a blockchain-enabled safe data sharing architecture for distributed multiple parties in this paper. Then, by adding suggested privacy-preserved federated learning, we turn the data-sharing problem into a machine-learning challenge. Recommendations are based on the user’s previous search values, and data privacy is protected by providing the data model rather than the raw figures. Finally, we include federated learning into the permissioned blockchain consensus process, allowing the consensus computing effort to be used for federated training. According to numerical findings generated from data sets, the suggested data sharing method delivers good accuracy, high efficiency, and increased security.
In portfolio selection, it often might be preferable to focus on a few top performing industries/... more In portfolio selection, it often might be preferable to focus on a few top performing industries/sectors to beat the mar-ket. These top performing sectors however might change over time. In this paper, we propose an online portfolio selec-tion algorithm that can take advantage of sector informa-tion through the use of a group sparsity inducing regularizer while making lazy updates to the portfolio. The lazy updates prevent changing ones portfolio too often which otherwise might incur huge transaction costs. The proposed formula-tion leads to a non-smooth constrained optimization problem at every step, with the constraint that the solution has to lie in a probability simplex. We propose an efficient primal-dual based alternating direction method of multipliers algorithm and demonstrate its effectiveness for the problem of online portfolio selection with sector information. We show that our algorithm OLU-GS has sub-linear regret w.r.t. the best fixed and best shifting solution in hind...
Industry 4.0 Interoperability, Analytics, Security, and Case Studies, 2021
2020 11th International Conference on Electrical and Computer Engineering (ICECE), 2020
The unavoidable complexities of multi-junction solar cell associated with surface recombination a... more The unavoidable complexities of multi-junction solar cell associated with surface recombination at the tunneling junction interfaces limit the applications of these solar cells. In this scenario, a transistor architecture based solar cell can overcome the limitation of surface recombination due to the absence of tunnel junction interfaces. The objective of this study is to enhance the efficiency of three-terminal heterojunction bipolar transistor architecture based solar cells (3T-HBTSC) and to move further towards green solar cells using kesterite materials. In this study, the performance parameters of 3T-HBTSC are thoroughly investigated to report the optimum size of anti-reflection (AR) layers and nanoparticles considering three configurations, (i) a single layer anti-reflection (AR) coating, (ii) double layer anti-reflection coating and (iii) plasmonic nanoparticle based 3T-HBTSC. The reflectivity of AR coatings and light trapping principles of plasmonic nanoparticles are the prime techniques upon which we relied to improve solar cell efficiency. We have found that the performance of double-layer anti-reflection coating (DLARC) configuration exceeds the record of the existing HBTSC with open circuit voltage of 736 mV, short circuit current density of 39.86 mA/cm2, efficiency of 22.41% and 76.41% fill factor.
2019 International Conference on Intelligent Computing and Control Systems (ICCS), 2019
Internet of Things (IoT) is facing the problem of continuously increasing number of IoT devices, ... more Internet of Things (IoT) is facing the problem of continuously increasing number of IoT devices, and they generates a huge data transmission load to the cloud data centers. This also decreases the data transmission rate along with the Quality of Services (QoS). Selection of a specific user from a group of users those are demanding for the same services is quite difficult. As a solution we have proposed a QoS aware resources allocation policy using user rating implicit feedback in Mobile Edge Computing (MEC) for IoT to overcome the delay of the service. The proposed selection procedure will select the user depending upon their previous purchase preferences and implicit feedback from the cluster, which is develop using similarity calculation. We have recommend resource to eligible users according to implicit feedback of the previously served users, by applying time-based collaborating filter. The selected user will get the resource according to the minimum distance between user and re...
![Research paper thumbnail of Lessons in Water Allocation: Roles for Government and Markets [abstract]](https://attachments.academia-assets.com/84566287/thumbnails/1.jpg)
](for a panel presentation at the conference on “Allocating and Managing Water for a Sustainable Fu... more for a panel presentation at the conference on “Allocating and Managing Water for a Sustainable Future: Lessons from Around the World” Natural Resources Law Center University of Colorado School of Law June 11-14, 2002
Openhole gravel pack is the preferred completion method of sand control in unconsolidated deepwat... more Openhole gravel pack is the preferred completion method of sand control in unconsolidated deepwater formations with sanding tendencies. The design phase of an openhole gravel pack treatment spans drilling of the reservoir section, wellbore preparation, sand screen installation, gravel placement, and well flowback. This paper discusses several ultra-deepwater wells of India, where openhole gravel packs were performed by integrating drilling, wellbore cleanout, wellbore displacement and gravel pack methodologies to achieve a holistic approach towards openhole gravel pack completions. The reservoir sections were drilled with streaks of shale and dolomite sections, the liner shoe often landing in shale, exposing a shaly rat hole. Next, the wells were displaced to dedicated production screen testing (PST) mud prior to running in screens. Screens were then placed across the openhole with memory gauges to capture downhole events during the gravel pack. The displacement pills train was engi...
There is an enormous increment in the number of vehicles in the most recent two decades so these ... more There is an enormous increment in the number of vehicles in the most recent two decades so these days vehicle parking has become a significant issue in the transportation part for the absence of parking place. The advancement of Internet-of-Things (IoT) gadgets, systems administration, and versatile applications, the organization is interested in a new and keen stopping framework through which clients can be educated continuously about the nearness of empty stopping spaces. The IoT gadget interfaces the objects of this present reality to the virtual world and empowers the availability of anything, anywhere. This paper presents a shrewd vehicle-leaving framework and gives an idea about to build up a system design dependent on IoT innovation.
El trabajo que se presenta es un acercamiento a la dinamica laboral de policias y de la figura de... more El trabajo que se presenta es un acercamiento a la dinamica laboral de policias y de la figura de las operadoras civiles, introducidas por la reforma del sistema penitenciario en el ano 2010 con la creacion del Instituto Nacional de Rehabilitacion (INR). Se exponen los resultados de un estudio realizado en la Unidad N°5 ubicada en el barrio Colon (Montevideo), en contexto de mujeres privadas de libertad.A partir del discurso de las funcionarias, el analisis se centra en tres ejes tematicos, a) el concepto de rehabilitacion; b) el rol de policias y operadoras y c) marchas y contramarchas en la reforma. La incorporacion de las operadoras civiles ha contribuido a minimizar el poder y la capacidad de control que tenia la policia y a generar un relacionamiento con las mujeres privadas de libertad desde otro posicionamiento, en donde la escucha adquiere una gran relevancia. Sin embargo, el objetivo cotidiano y practico de la tarea de las funcionarias es la produccion del orden.
Advances in Intelligent Systems and Computing, 2019
Compression of sentences in Facebook posts and Twitter is one of the important tasks for automati... more Compression of sentences in Facebook posts and Twitter is one of the important tasks for automatic summarization of social media text. The task can be formally defined as transformation of sentence into precise form by preserving the original meaning of the sentence. In this paper, we propose an approach for compressing sentences from Facebook English posts by dropping those words who contribute very less importance to the overall meaning of sentences. We develop one parallel corpus of Facebook English posts and corresponding compressed sentences for our research task. We also report evaluation result of our approach through experiments on develop dataset.
Smart Healthcare Analytics: State of the Art, 2021
Journal of Network and Computer Applications, 2019
Twenty Eighth Aaai Conference on Artificial Intelligence, Jun 21, 2014
In portfolio selection, it often might be preferable to focus on a few top performing industries/... more In portfolio selection, it often might be preferable to focus on a few top performing industries/sectors to beat the market. These top performing sectors however might change over time. In this paper, we propose an online portfolio selection algorithm that can take advantage of sector information through the use of a group sparsity inducing regularizer while making lazy updates to the portfolio. The lazy updates prevent changing ones portfolio too often which otherwise might incur huge transaction costs. The proposed formulation leads to a non-smooth constrained optimization problem at every step, with the constraint that the solution has to lie in a probability simplex. We propose an efficient primal-dual based alternating direction method of multipliers algorithm and demonstrate its effectiveness for the problem of online portfolio selection with sector information. We show that our algorithm OLU-GS has sub-linear regret w:r:t: the best fixed and best shifting solution in hindsight. We successfully establish the robustness and scalability of OLU-GS by performing extensive experiments on two real-world datasets.
Twenty Seventh Aaai Conference on Artificial Intelligence, Jun 30, 2013
University of Minnesota Ph.D. dissertation. May 2014. Major: Computer science. Advisor: Arindam B... more University of Minnesota Ph.D. dissertation. May 2014. Major: Computer science. Advisor: Arindam Banerjee. 1 computer file (PDF); xiii, 174 pages, appendices A-D.
International Journal of Computer Science and Informatics, 2022
A unique Tourism Decision Making System TDMS) describes and evaluates the evaluation of research ... more A unique Tourism Decision Making System TDMS) describes and evaluates the evaluation of research and developments in information technology meant for pronouncement sustain as well as examination during the sector of visiting the attractions. Individuals in the tourism sector are classified according to their decision-making technologies. The current trends and growth directions of choice help technologies were analysed for visitors from various advertising categories. The potential to provide customising, augmentation, and help for visitors at all phases of their trips by integrating modern automated approaches with GIS capabilities demonstrates the need for breakthroughs in digital advanced analytics.
International Journal of Computer Science and Informatics, 2022
Throughout the age of 5G technology, the majority of contactless banking is made via software tha... more Throughout the age of 5G technology, the majority of contactless banking is made via software that is enabled by a wide range of financial platforms. Several alternative financing channels provide access to a variety of services. The opportunity for hackers to engage in nefarious behaviour such as payment account hacking, identity theft, and payment system assaults stages of clearances with e-tourism, monetary information is kept in a database. Payment issues can be caused by a centralised cloud server. Throughout the periods of heavy congestion, the abovementioned problems are solvable by utilising a decentralised system like blockchain, it allows for the maintenance of trustworthiness between distinct groups of financial institutions, tour companies, airways, and trains are examples of consumers. Cruise ships, accommodations, cafes, as well as regional cabs are all available. Inspired mostly by following the foregoing debate, we suggest the blockchain Enables Secure Smart Hospital...
2019 2nd International Conference on Innovation in Engineering and Technology (ICIET), 2019
In this research, the impact of gate dielectric, doping concentration and channel length on the t... more In this research, the impact of gate dielectric, doping concentration and channel length on the transfer characteristics of cylindrical gate-all-around junctionless transistor is resolved by using the CVT model approach by using TCAD Silvaco Atlas. Short channel effect parameters like Drain induced barrier lowering (DIBL), Threshold Voltage Roll-off (TVRO), Subthreshold Swing (SS), on current and off current ratio (Ion/Ioff) for the CG structure of n-channel gate-all-around JLNW transistor are analyzed. Depletion of carriers in the device layer of cylindrical gate-all-around JLNWT are more effective in comparison with tri-gate, double gate, rectangular gate-all-around JLNWT. In quintessence, the Cylindrical gate-all-around JLNW transistor exhibits better transfer characteristics with a high Ion/Ioff ratio, SS is near about to the 60mV/decade which is ideal and highly reduced DIBL. Moreover, the Cylindrical gate-all-around JLNW transistor has better control over the carriers which flow through the device layer. In short, a Cylindrical gate-all-around JLNW transistor established as a promising candidate having benefits of reduced short channel effects and low power operation at nanoscale technology.
2021 IEEE Globecom Workshops (GC Wkshps), 2021
Medical health care centres are seen as a potential paradigm for dealing with large amounts of da... more Medical health care centres are seen as a potential paradigm for dealing with large amounts of data utilizing artificial intelligence (AI). The fast growth in the massive volume of data created by connected devices in the health paradigm brings up new opportunities for data sharing to improve the quality of service for developing applications. Traditional AI approaches frequently need centralized data gathering and model training within a single company, which is a significant flaw owing to the lack of privacy and security of raw data transfer through mobile networks. The leakage of sensitive data can result in substantial consequences for the providers, in addition to financial loss. For that, we first build a blockchain-enabled safe data sharing architecture for distributed multiple parties in this paper. Then, by adding suggested privacy-preserved federated learning, we turn the data-sharing problem into a machine-learning challenge. Recommendations are based on the user’s previous search values, and data privacy is protected by providing the data model rather than the raw figures. Finally, we include federated learning into the permissioned blockchain consensus process, allowing the consensus computing effort to be used for federated training. According to numerical findings generated from data sets, the suggested data sharing method delivers good accuracy, high efficiency, and increased security.
In portfolio selection, it often might be preferable to focus on a few top performing industries/... more In portfolio selection, it often might be preferable to focus on a few top performing industries/sectors to beat the mar-ket. These top performing sectors however might change over time. In this paper, we propose an online portfolio selec-tion algorithm that can take advantage of sector informa-tion through the use of a group sparsity inducing regularizer while making lazy updates to the portfolio. The lazy updates prevent changing ones portfolio too often which otherwise might incur huge transaction costs. The proposed formula-tion leads to a non-smooth constrained optimization problem at every step, with the constraint that the solution has to lie in a probability simplex. We propose an efficient primal-dual based alternating direction method of multipliers algorithm and demonstrate its effectiveness for the problem of online portfolio selection with sector information. We show that our algorithm OLU-GS has sub-linear regret w.r.t. the best fixed and best shifting solution in hind...
Industry 4.0 Interoperability, Analytics, Security, and Case Studies, 2021
2020 11th International Conference on Electrical and Computer Engineering (ICECE), 2020
The unavoidable complexities of multi-junction solar cell associated with surface recombination a... more The unavoidable complexities of multi-junction solar cell associated with surface recombination at the tunneling junction interfaces limit the applications of these solar cells. In this scenario, a transistor architecture based solar cell can overcome the limitation of surface recombination due to the absence of tunnel junction interfaces. The objective of this study is to enhance the efficiency of three-terminal heterojunction bipolar transistor architecture based solar cells (3T-HBTSC) and to move further towards green solar cells using kesterite materials. In this study, the performance parameters of 3T-HBTSC are thoroughly investigated to report the optimum size of anti-reflection (AR) layers and nanoparticles considering three configurations, (i) a single layer anti-reflection (AR) coating, (ii) double layer anti-reflection coating and (iii) plasmonic nanoparticle based 3T-HBTSC. The reflectivity of AR coatings and light trapping principles of plasmonic nanoparticles are the prime techniques upon which we relied to improve solar cell efficiency. We have found that the performance of double-layer anti-reflection coating (DLARC) configuration exceeds the record of the existing HBTSC with open circuit voltage of 736 mV, short circuit current density of 39.86 mA/cm2, efficiency of 22.41% and 76.41% fill factor.
2019 International Conference on Intelligent Computing and Control Systems (ICCS), 2019
Internet of Things (IoT) is facing the problem of continuously increasing number of IoT devices, ... more Internet of Things (IoT) is facing the problem of continuously increasing number of IoT devices, and they generates a huge data transmission load to the cloud data centers. This also decreases the data transmission rate along with the Quality of Services (QoS). Selection of a specific user from a group of users those are demanding for the same services is quite difficult. As a solution we have proposed a QoS aware resources allocation policy using user rating implicit feedback in Mobile Edge Computing (MEC) for IoT to overcome the delay of the service. The proposed selection procedure will select the user depending upon their previous purchase preferences and implicit feedback from the cluster, which is develop using similarity calculation. We have recommend resource to eligible users according to implicit feedback of the previously served users, by applying time-based collaborating filter. The selected user will get the resource according to the minimum distance between user and re...
for a panel presentation at the conference on “Allocating and Managing Water for a Sustainable Fu... more for a panel presentation at the conference on “Allocating and Managing Water for a Sustainable Future: Lessons from Around the World” Natural Resources Law Center University of Colorado School of Law June 11-14, 2002
Openhole gravel pack is the preferred completion method of sand control in unconsolidated deepwat... more Openhole gravel pack is the preferred completion method of sand control in unconsolidated deepwater formations with sanding tendencies. The design phase of an openhole gravel pack treatment spans drilling of the reservoir section, wellbore preparation, sand screen installation, gravel placement, and well flowback. This paper discusses several ultra-deepwater wells of India, where openhole gravel packs were performed by integrating drilling, wellbore cleanout, wellbore displacement and gravel pack methodologies to achieve a holistic approach towards openhole gravel pack completions. The reservoir sections were drilled with streaks of shale and dolomite sections, the liner shoe often landing in shale, exposing a shaly rat hole. Next, the wells were displaced to dedicated production screen testing (PST) mud prior to running in screens. Screens were then placed across the openhole with memory gauges to capture downhole events during the gravel pack. The displacement pills train was engi...
There is an enormous increment in the number of vehicles in the most recent two decades so these ... more There is an enormous increment in the number of vehicles in the most recent two decades so these days vehicle parking has become a significant issue in the transportation part for the absence of parking place. The advancement of Internet-of-Things (IoT) gadgets, systems administration, and versatile applications, the organization is interested in a new and keen stopping framework through which clients can be educated continuously about the nearness of empty stopping spaces. The IoT gadget interfaces the objects of this present reality to the virtual world and empowers the availability of anything, anywhere. This paper presents a shrewd vehicle-leaving framework and gives an idea about to build up a system design dependent on IoT innovation.
El trabajo que se presenta es un acercamiento a la dinamica laboral de policias y de la figura de... more El trabajo que se presenta es un acercamiento a la dinamica laboral de policias y de la figura de las operadoras civiles, introducidas por la reforma del sistema penitenciario en el ano 2010 con la creacion del Instituto Nacional de Rehabilitacion (INR). Se exponen los resultados de un estudio realizado en la Unidad N°5 ubicada en el barrio Colon (Montevideo), en contexto de mujeres privadas de libertad.A partir del discurso de las funcionarias, el analisis se centra en tres ejes tematicos, a) el concepto de rehabilitacion; b) el rol de policias y operadoras y c) marchas y contramarchas en la reforma. La incorporacion de las operadoras civiles ha contribuido a minimizar el poder y la capacidad de control que tenia la policia y a generar un relacionamiento con las mujeres privadas de libertad desde otro posicionamiento, en donde la escucha adquiere una gran relevancia. Sin embargo, el objetivo cotidiano y practico de la tarea de las funcionarias es la produccion del orden.
Advances in Intelligent Systems and Computing, 2019
Compression of sentences in Facebook posts and Twitter is one of the important tasks for automati... more Compression of sentences in Facebook posts and Twitter is one of the important tasks for automatic summarization of social media text. The task can be formally defined as transformation of sentence into precise form by preserving the original meaning of the sentence. In this paper, we propose an approach for compressing sentences from Facebook English posts by dropping those words who contribute very less importance to the overall meaning of sentences. We develop one parallel corpus of Facebook English posts and corresponding compressed sentences for our research task. We also report evaluation result of our approach through experiments on develop dataset.
Smart Healthcare Analytics: State of the Art, 2021
Journal of Network and Computer Applications, 2019
Twenty Eighth Aaai Conference on Artificial Intelligence, Jun 21, 2014
In portfolio selection, it often might be preferable to focus on a few top performing industries/... more In portfolio selection, it often might be preferable to focus on a few top performing industries/sectors to beat the market. These top performing sectors however might change over time. In this paper, we propose an online portfolio selection algorithm that can take advantage of sector information through the use of a group sparsity inducing regularizer while making lazy updates to the portfolio. The lazy updates prevent changing ones portfolio too often which otherwise might incur huge transaction costs. The proposed formulation leads to a non-smooth constrained optimization problem at every step, with the constraint that the solution has to lie in a probability simplex. We propose an efficient primal-dual based alternating direction method of multipliers algorithm and demonstrate its effectiveness for the problem of online portfolio selection with sector information. We show that our algorithm OLU-GS has sub-linear regret w:r:t: the best fixed and best shifting solution in hindsight. We successfully establish the robustness and scalability of OLU-GS by performing extensive experiments on two real-world datasets.
Twenty Seventh Aaai Conference on Artificial Intelligence, Jun 30, 2013
University of Minnesota Ph.D. dissertation. May 2014. Major: Computer science. Advisor: Arindam B... more University of Minnesota Ph.D. dissertation. May 2014. Major: Computer science. Advisor: Arindam Banerjee. 1 computer file (PDF); xiii, 174 pages, appendices A-D.