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Multi-Objective K-Center Sum Clustering Problem
Soumen Atta, Priya Ranjan Sinha Mahapatra, 2015, published scientific conference contribution

Abstract: Given a set P of n objects in two dimensional plane and a positive integer k (≤ n), we have considered the problem of partitioning P into k clusters of circular shape so as to minimize the following two objectives: (i) the sum of radii of these k circular clusters and (ii) the number of points of P covered by more than one circular cluster. The NSGA-II based multi-objective genetic algorithm (MOGA) has been proposed to solve this problem.
Keywords: k-center sum problem, Clustering problem, Multi-objective optimization, NSGA-II, Facility location problem
Published in RUNG: 05.06.2023; Views: 910; Downloads: 0
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Avantgarde Art and Theory: Liminality and Transgression
Kristina Pranjić, unpublished conference contribution

Keywords: Center-periferija, dekolonializem, liminalnost, meja, avantgardna umetnost in literatura, teorija avantgarde
Published in RUNG: 19.12.2022; Views: 1032; Downloads: 0
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Zeleni prehod je eden največjih izzivov človeštva do zdaj
Matjaž Valant, interview

Keywords: zeleni prehod, center zelenih tehnologij, energetika
Published in RUNG: 25.04.2022; Views: 1227; Downloads: 0
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"Meja je tu umetna, sodelovanje je treba nadgraditi."
Ivana Zajc, 2020, other component parts

Abstract: V Gorici že skoraj 60 let deluje Kulturni center Lojze Bratuž, kjer se srečuje slovenska skupnost. Tam gojijo kulturo, šport in ljubiteljsko dejavnost. Čezmejni prostor mora še tesneje sodelovati - je ob obisku poudaril novogoriški župan Klemen Miklavič.
Keywords: Gorica, Kulturni center Lojze Bratuž, slovenska skupnost v Italiji, čezmejni prostor
Published in RUNG: 08.11.2021; Views: 1450; Downloads: 6
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Meta-heuristic algorithms to improve fuzzy C-means and K-means clustering for location allocation of telecenters under e-governance in developing nations
Rajan Gupta, Sunil K. Muttoo, Saibal K. Pal, 2019, original scientific article

Abstract: The telecenter, popularly known as the rural kiosk or common service center, is an important building block for the improvement of e-governance in developing nations as they help in better citizen engagement. Setting up of these centers at appropriate locations is a challenging task; inappropriate locations can lead to a huge loss to the government and allied stakeholders. This study proposes the use of various meta-heuristic algorithms (particle swarm optimization, bat algorithm, and ant colony optimization) for the improvement of traditional clustering approaches (K-means and fuzzy C-means) used in the facility location allocation problem and maps them for the betterment of telecenter location allocation. A dataset from the Indian region was considered for the purpose of this experiment. The performance of the algorithms when applied to traditional facility location allocation problems such as set-cover, P-median, and the P-center problem was investigated, and it was found that their efficiency improved by 20%–25% over that of existing algorithms.
Keywords: ant colony optimization, bat algorithm, common service center, e-governance, fuzzy clustering, meta-heuristic algorithm, particle swarm optimization
Published in RUNG: 01.04.2021; Views: 1944; Downloads: 10
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A study of stellar debris dynamics during a tidal disruption event
Aurora Clerici, 2020, doctoral dissertation

Abstract: The number of observed tidal disruption events is increasing rapidly with the advent of new surveys. Thus, it is becoming increasingly important to improve TDE models using different stellar and orbital parameters. We study the dynamical behaviour of tidal disruption events produced by a massive black hole like Sgr A* by changing different initial orbital parameters, taking into account the observed orbits of S stars. Investigating different types of orbits and penetration factors is important since their variations lead to different timescales of the tidal disruption event debris dynamics, making mechanisms such as self-crossing and pancaking act strongly or weakly, thus affecting the circularisation and accretion disk formation. We have performed smoothed particle hydrodynamics simulations. Each simulation consists in modelling the star with $10^5$ particles, and the density profile is described by a polytrope with $\gamma$ = 5/3. The massive black hole is modelled with a generalised post-Newtonian potential, which takes into account relativistic effects of the Schwarzschild space-time. Our analyses find that mass return rate distributions of solar-like stars and S-like stars with same eccentricity have similar durations, but S-like stars have higher mass return rate, as expected due to their larger mass. Regarding debris circularisation, we identify four types of evolution, related to the mechanisms and processes involved during circularisation: in type 1 the debris does not circularise efficiently, hence a disk is not formed or is formed after relatively long time; in type 2 the debris slowly circularises and eventually forms a disk with no debris falling back; in type 3 the debris relatively quickly circularises and forms a disk while there is still debris falling back; finally, in type 4 the debris quickly and efficiently circularises, mainly through self-crossings and shocks, and forms a disk with no debris falling back. Finally, we find that the standard relation of circularisation radius $r_{\rm circ} = 2r_{\rm t}$ holds only for $\beta = 1$ and eccentricities close to parabolic.
Keywords: 07.05.Tp Computer modeling and simulation, 95.30.Lz Hydrodynamics, 98.35.Jk Galactic center, bar, circumnuclear matter, and bulge, 98.62.Js Galactic nuclei (including black holes), circumnuclear matter, and bulges, 98.62.Mw Infall, accretion, and accretion disks
Published in RUNG: 29.09.2020; Views: 3609; Downloads: 77
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