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11.
A new variant of the p-hub location problem with a ring backbone network for content placement in VoD services
Soumen Atta, Goutam Sen, 2021, izvirni znanstveni članek

Opis: In this article, the single allocation p-hub location problem (SApHLP) with a ring backbone network for content placement in VoD services is proposed. In VoD services, a large volume of digital data is kept as data segments in spatially distributed hubs. In SApHLP, each user is restricted to be allocated only to a single hub, and here hubs form a ring backbone network. SApHLP jointly addresses (i) the locations of hubs, (ii) the placement of segments to hubs, (iii) the allocation of users to hubs as per their demands, and (iv) the optimal paths to route the demands from users to hubs. We have introduced network flow-based 3-subscripted and path-based 4-subscripted MILP formulations of SApHLP. This article presents a novel discrete particle swarm optimization (PSO)-based approach where factoradic numbers are used to encode solution. It also incorporates three problem-specific solution refinement methods for faster convergence. In this article, SApHLP instances are generated from a real-world database of video files obtained from a movie recommender system. The benchmark solutions are generated using IBM’s CPLEX optimizer with default settings and Benders decomposition strategy. The performance of the proposed PSO is compared with the benchmark results produced by CPLEX.
Ključne besede: Single allocation p-hub location problem, Ring backbone network, VoD services, Particle Swarm Optimization (PSO), Factoradics, CPLEX
Objavljeno v RUNG: 17.04.2023; Ogledov: 1047; Prenosov: 0
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12.
A multi-objective formulation of maximal covering location problem with customers’ preferences: Exploring Pareto optimality-based solutions
Soumen Atta, Priya Ranjan Sinha Mahapatra, Anirban Mukhopadhyay, 2021, izvirni znanstveni članek

Opis: The maximal covering location problem (MCLP) is a well-known combinatorial optimization problem with several applications in emergency and military services as well as in public services. Traditionally, MCLP is a single objective problem where the objective is to maximize the sum of the demands of customers which are served by a fixed number of open facilities. In this article, a multi-objective MCLP is proposed where each customer has a preference for each facility. The multi-objective MCLP with customers’ preferences (MOMCLPCP) deals with the opening of a fixed number of facilities from a given set of potential facility locations and then customers are assigned to these opened facilities such that both (i) the sum of the demands of customers and (ii) the sum of the preferences of the customers covered by these opened facilities are maximized. A Pareto-based multi-objective harmony search algorithm (MOHSA), which utilizes a harmony refinement strategy for faster convergence, is proposed to solve MOMCLPCP. The proposed MOHSA is terminated based on the stabilization of the density of non-dominated solutions. For experimental purposes, 82 new test instances of MOMCLPCP are generated from the existing single objective MCLP benchmark data sets. The performance of the proposed MOHSA is compared with the well-known non-dominated sorting genetic algorithm II (NSGA-II), and it has been observed that the proposed MOHSA always outperforms NSGA-II in terms of computation time. Moreover, statistical tests show that the objective values obtained from both algorithms are comparable.
Ključne besede: Maximal covering location problem (MCLP), Multi-objective MCLP, Customers’ preferences, Multi-objective harmony search algorithm (MOHSA), NSGA II, CPLEX
Objavljeno v RUNG: 17.04.2023; Ogledov: 1034; Prenosov: 0
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13.
Solving a new variant of the capacitated maximal covering location problem with fuzzy coverage area using metaheuristic approaches
Soumen Atta, Priya Ranjan Sinha Mahapatra, Anirban Mukhopadhyay, 2022, izvirni znanstveni članek

Opis: The Maximal Covering Location Problem (MCLP) is concerned with the optimal placement of a fixed number of facilities to cover the maximum number of customers. This article considers a new variant of MCLP where both the coverage radii of facilities and the distance between customer and facility are fuzzy. Moreover, the finite capacity of each facility is considered. We call this problem the capacitated MCLP with fuzzy coverage area (FCMCLP), and it is formulated as a 0–1 linear programming problem. In this article, two classical metaheuristics: particle swarm optimization, differential evolution, and two new-generation metaheuristics: artificial bee colony algorithm, firefly algorithm, are proposed for solving FCMCLP. Each of the customized metaheuristics utilizes a greedy deterministic heuristic to generate their initial populations. They also incorporate a local neighborhood search to improve their convergence rates. New instances of FCMCLP are generated from the traditional MCLP instances available in the literature, and IBM’s CPLEX solver is used to generate benchmark solutions. An experimental comparative study among the four customized metaheuristics is described in this article. The performances of the proposed metaheuristics are also compared with the benchmark solutions obtained from CPLEX.
Ključne besede: Facility Location Problem (FLP), Fuzzy Capacitated Maximal Covering Location Problem (FCMCLP), Particle Swarm Optimization (PSO), Differential Evolution (DE), Artificial Bee Colony (ABC), Firefly Algorithm (FA)
Objavljeno v RUNG: 08.03.2023; Ogledov: 1774; Prenosov: 0
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14.
Technological and analytical review of contact tracing apps for COVID-19 management
Rajan Gupta, Gaurav Pandey, Poonam Chaudhary, Saibal K. Pal, 2021, izvirni znanstveni članek

Opis: Role of technology is improving for COVID-19 management all around the world. Usage of mobile applications, web applications, cloud computing, and related technologies have helped many public administrators worldwide manage the current pandemic. Contact tracing applications are such mobile app solutions that are used by more than 100 countries today. This study presents a structured research review-based framework related to multiple contact tracing applications. The various components of the framework are related to technological working, design architecture, and feature analysis of the applications, along with the analysis of the acceptance of such applications worldwide. Also, components focusing on the security features and analysis of these applications based on Data Privacy, Security Vetting, and different attacks have been included in the research framework. Many applications are yet to explore the analytical capabilities of the data generated through contact tracing. The various use-cases identified for these applications are detecting positive case probability, identifying a containment zone in the country, finding regional hotspots, monitoring public events & gatherings, identifying sensitive routes, and allocating resources in various regions during the pandemic. This study will act as a guide for the users researching contact tracings applications using the proposed four-layered framework for their app assessment.
Ključne besede: novel corona virus, location technology, contact tracing applications, Aarogya Setu App, data science, data analysis
Objavljeno v RUNG: 02.04.2021; Ogledov: 2220; Prenosov: 0
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15.
Development of e-governance in an emerging economy like India : assessment and way ahead for key components
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2017, objavljeni znanstveni prispevek na konferenci

Opis: In this paper, we describe the key research questions handled during the doctoral work done in the area of E-Governance. The five research questions in the study are related to the concepts like Development of E-Governance & its assessment, Infrastructure management to reach out to maximum citizens, Various types of Security concerns faced during the E-Governance Development, Analyzing the E-Governance transaction pattern to capture citizen's interest, and finally the way ahead for the E-Governance development through the route of efficiency and optimization in the service designing. The methodology adopted and results obtained for various research questions are discussed at high level. Some portion of the current work is still in progress.
Ključne besede: e-governance, location allocation, common service centers, intrusion detection system, security, analytics
Objavljeno v RUNG: 02.04.2021; Ogledov: 2213; Prenosov: 56
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16.
Data Analytics based Techniques for Improvement of E-Governance in Developing Nations
Rajan Gupta, 2019, prispevek na konferenci brez natisa

Opis: United Nation’s E-Governance Development Index is a development assessment index for all the nations around on the E-Governance front. Every country is ranked on the basis of a quantitative parameter derived out of few important components. But such development assessment index is missing at regional level in a country so that regional development can be assessed and work can be monitored. Few countries have local assessment models but are not exhaustive enough which can be used for development assessment and further development plan formation. Therefore, there is a need for this study to develop such assessment framework and develop approaches to have a meaningful contribution in improvement of E-Governance in the country at regional level. After the assessment of the regions on the development front of E-Governance, the improvement techniques must be defined for the weak parameters, so that regional development can be enhanced. For the experiment purpose, India has been chosen as the experiment country for which datasets has been used from Indian E-Governance transactions. This problem is important to be addressed because an overall quantitative measure of E-Governance development of the country will help in improving overall E-Governance rankings at world level, attract better investors, and will help the government to prepare a more inclusive plan on the development front. Most of the studies in literature are citizen centric and thus are not fit for development assessment. The current study has not only developed a framework but has also analyzed various components related to it in detail and suggested the way ahead for E-Governance in the country
Ključne besede: E-Governance, Development Assessment, Location Allocation, Intrusion Detection
Objavljeno v RUNG: 02.04.2021; Ogledov: 2486; Prenosov: 0
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17.
BAT algorithm for improving fuzzy C-means clustering for location allocation of rural kiosks in developing countries under e-governance
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2016, izvirni znanstveni članek

Opis: Rural Kiosks are important infrastructural pillar in rural regions for internet and basic technology facility all around the world. They are also known as Tele-centers or Common Service Centers and are majorly used by government to promote Electronic Governance. The major characteristic of setting up of Rural Kiosk is their appropriate location so that people from rural region can avail the services at minimum travel cost and time. There are lot of traditional schemes used by researchers in past for location allocation but this paper proposes the usage of Fuzzy C-Means clustering and BAT algorithm to optimize the location of Rural Kiosk. The meta-heuristic approach has produced better results as compared to normal graph theories in past. The experiment has been conducted on a random data set of 72 village locations from India and their clusters are formed. It is found that using only Fuzzy C-Means clustering to allocate the center and by using it in combination with BAT algorithm produced up to 25% of efficient results. This can drastically help the key stakeholders in allocation of these Rural Kiosks at right places so as to maximize their utility.
Ključne besede: BAT algorithm, location allocation, rural kiosks, fuzzy C-means, e-governance, tele-centers, common service centers
Objavljeno v RUNG: 01.04.2021; Ogledov: 2172; Prenosov: 0
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18.
A comprehensive review of approaches used for solving tele-centre location allocation problem in geographical plane
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2021, pregledni znanstveni članek

Opis: Setup of tele-centre is the worldwide approach for the establishment of information and communication technology infrastructure in rural areas for the overall development of a country. It is a key resource under e-governance plan in any country, but a major problem with their location allocation is the sustainability. Tele-centre establishment require a suitable location to increase the beneficial effect to service seekers. In this research, multi-faceted problems faced by tele-centres are highlighted. This paper presents a comprehensive study on tele-centre’s location allocation problem and all the recent development in multi-facility location problem research area through more than 150 research papers from high ranked peer-reviewed journals. The research survey examines all the important parameters for the facility location problem and an objective function is also formulated for the same. Based on the survey literature, it is found that the new allocation methods based on meta-heuristic algorithms are emerging. This study would be a useful contribution in the field of location science, tele-centre location allocation and application of meta-heuristic algorithms in e-governance.
Ključne besede: tele-centres, location allocation, common service centres, rural kiosks, meta-heuristic algorithms, e-governance, geographical plane
Objavljeno v RUNG: 01.04.2021; Ogledov: 2173; Prenosov: 57
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19.
Fuzzy C-means clustering and particle swarm optimization based scheme for common service center location allocation
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2017, izvirni znanstveni članek

Opis: Common Service Centers (CSCs), which are also known as Tele-centers and Rural Kiosks, are important infrastructural options for any country aiming to provide E-Governance services in rural regions. Their main objective is to provide adequate information and services to a country’s rural areas, thereby increasing government-citizen connectivity. Within developing nations, such as India, many CSC allocations are being planned. This study proposes a solution for allocating a CSC for villages in a country according to their E-Governance plan. The Fuzzy C-Means (FCM) algorithm was used for clustering the village dataset and finding a cluster center for CSC allocation, and the Particle Swarm Optimization (PSO) algorithm was used for further optimizing the results obtained from the FCM algorithm based on population. In the context of other studies addressing similar issues, this study highlights the practical implementation of location modeling and analysis. An extensive analysis of the results obtained using a village dataset from India including four prominent states shows that the proposed solution reduces the average traveling costs of villagers by an average of 33 % compared with those of allocating these CSCs randomly in a sorted order and by an average of 11 % relative to centroid allocation using the FCM-based approach only. As compared to traditional approaches like P-Center and P-Median, the proposed scheme is better by 31 % and 14 %, respectively. Therefore, the proposed algorithm yields better results than classical FCM and other types of computing techniques, such as random search & linear programming. This scheme could be useful for government departments managing the allocation of CSCs in various regions. This work should also be useful for researchers optimizing the location allocation schemes used for various applications worldwide.
Ključne besede: common service centers, tele-centers, e-governance, location allocation, fuzzy C-means clustering, particle swarm optimization
Objavljeno v RUNG: 17.02.2021; Ogledov: 2684; Prenosov: 0
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20.
Spatial terms and conditions of Sign Language Agreement
Matic Pavlič, 2018, objavljeni povzetek znanstvenega prispevka na konferenci

Ključne besede: Slovenian Sign Language, agreement, referential location, transitives, ditransitives
Objavljeno v RUNG: 17.04.2018; Ogledov: 4200; Prenosov: 161
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