2131. Marketinška raziskava o potrebah usposabljanj s področja vinogradništva, vinarstva, promocije in trženja vina na področju primorske vinorodne dežele : projektno delo z gospodarstvom in negospodarstvom v lokalnem in regionalnem okolju - Po kreativni poti do znanjaVanesa Klinec, Tereza Valentinčič, Kristina Cotič, Katarina Marković, Natallia Person, Yue Ma, končno poročilo o rezultatih raziskav Ključne besede: projekti, marketinške raziskave, potrebe, izobraževanje, vinogradništvo, vinarstvo
Objavljeno v RUNG: 23.02.2021; Ogledov: 2601; Prenosov: 0
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2133. e-KletGuillaume Antalick, Marko Lesica, Melita Sternad Lemut, Lorena Butinar, Erika Jež, Branka Mozetič Vodopivec, 2020, drugo učno gradivo Ključne besede: interaktivno učno gradivo, pridelava vina, posamezne faze pridelave, sveže belo vino
Objavljeno v RUNG: 23.02.2021; Ogledov: 2300; Prenosov: 0
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2134. Ki(n) : accompanying the self towards a Lived Ethics of planetary kinship and care2020, radijska ali televizijska oddaja, podkast, intervju, novinarska konferenca Ključne besede: interspecies reciprocity, language of kinship, 1-2-1 performance, power relations, the gaze, feedback loop, lived experience
Objavljeno v RUNG: 23.02.2021; Ogledov: 2246; Prenosov: 10
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2135. Algorithms matter and one should better understand them2020, radijska ali televizijska oddaja, podkast, intervju, novinarska konferenca Ključne besede: algorithm, programming, technology, languages, sonic arts, sound, contemporary art
Objavljeno v RUNG: 23.02.2021; Ogledov: 2101; Prenosov: 20
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2136. Plants are my fellow DJs2020, radijska ali televizijska oddaja, podkast, intervju, novinarska konferenca Ključne besede: plat art, acoustics, sonic arts, performance, transpecies, anthropocene, bioart
Objavljeno v RUNG: 22.02.2021; Ogledov: 2247; Prenosov: 25
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2139. Impedimetric, PEDOT:PSS-based organic electrochemical sensor for detection of histamine for precision animal agricultureHuiwen Bai, Kateryna Vyshniakova, Egon Pavlica, Victor Marco Rocha Malacco, Alexandros Yiannikouris, Thirupathi Reddy Yerramreddy, Shawn S. Donkin, Richard M. Voyles, Robert A. Nawrocki, 2020, izvirni znanstveni članek Ključne besede: organic semiconductors, biosensor, electrochemical transistor
Objavljeno v RUNG: 18.02.2021; Ogledov: 2387; Prenosov: 140
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2140. Fuzzy C-means clustering and particle swarm optimization based scheme for common service center location allocationRajan 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: 2449; Prenosov: 0
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