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2131.
2132.
Univerza v Novi Gorici, Fakulteta za vinogradništvo in vinarstvo
2020, other monographs and other completed works

Keywords: študijski programi, Univerza v Novi Gorici, Fakulteta za vinogradništvo in vinarstvo
Published in RUNG: 23.02.2021; Views: 2119; Downloads: 0
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2133.
e-Klet
Guillaume Antalick, Marko Lesica, Melita Sternad Lemut, Lorena Butinar, Erika Jež, Branka Mozetič Vodopivec, 2020, other educational material

Keywords: interaktivno učno gradivo, pridelava vina, posamezne faze pridelave, sveže belo vino
Published in RUNG: 23.02.2021; Views: 2300; Downloads: 0
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2134.
Ki(n) : accompanying the self towards a Lived Ethics of planetary kinship and care
2020, radio or television broadcast, podcast, interview, press conference

Keywords: interspecies reciprocity, language of kinship, 1-2-1 performance, power relations, the gaze, feedback loop, lived experience
Published in RUNG: 23.02.2021; Views: 2246; Downloads: 10
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2135.
Algorithms matter and one should better understand them
2020, radio or television broadcast, podcast, interview, press conference

Keywords: algorithm, programming, technology, languages, sonic arts, sound, contemporary art
Published in RUNG: 23.02.2021; Views: 2101; Downloads: 20
URL Link to full text

2136.
Plants are my fellow DJs
2020, radio or television broadcast, podcast, interview, press conference

Keywords: plat art, acoustics, sonic arts, performance, transpecies, anthropocene, bioart
Published in RUNG: 22.02.2021; Views: 2247; Downloads: 25
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2137.
Seksizem in drugi "nesporazumi"
Andreja Gomboc, 2021, popular article

Keywords: akademije, enakost spolov, astronomija
Published in RUNG: 18.02.2021; Views: 2014; Downloads: 63
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2138.
Slovenščina je lepa
Ana Toroš, other performed works

Abstract: 40-urna jezikovna delavnica za dijake
Keywords: kreativno pisanje, pisanje uvoda in povzetka, metafore
Published in RUNG: 18.02.2021; Views: 1911; Downloads: 0
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2139.
2140.
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, original scientific article

Abstract: 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.
Keywords: common service centers, tele-centers, e-governance, location allocation, fuzzy C-means clustering, particle swarm optimization
Published in RUNG: 17.02.2021; Views: 2449; Downloads: 0
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