WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Conference Object Offer : Referees Suggester for the Journal Editors(IEEE, 2019) Coskun, Mustafa; Hacilar, Hilal; Gezer, Cengiz; Gungor, Vehbi CagriAssigning appropriate referees to a journal or conference paper is a vital task for many reasons, including enhancing the journal venue quality and reliance, fair judgement of the papers, and among many others. While assigning the referees to the papers, the editors of a journal venue need to find suitable referees who are both related to field of the given paper and have no conflict of interest with the authors of the paper. Editorial-wise this referee assignment process is implemented in a hand-crafted manner, i.e., the editor needs to find the most suitable referees to the paper via a search engine and manually refines the all unrelated and having conflict of interest authors to the paper authors. Clearly, such a manual referee searching process is tedious and time consuming for the editors. In this paper, we present an alternate automated approach for assigning referees problem using intrinsic random walk with restart proximity measure. In our experiments based on a comprehensive DBLP networks, we show that our approach, called OFFER, significantly outperforms state-of-the-art the random walk with restart based method.Conference Object Citation - WoS: 2Micro-Grid Campus Concept from Data to Design: Case Study Malta(IEEE, 2020-06-14) Azzopardi, Brian; Azzopardi, Stefan; Bartolo, Brian; Jately, Vibhu; Mikalauskine, Renata; Bhattacharya, Somesh; Camilleri, TimThis paper aims to highlight the endeavors of a micro-grid campus development from data to design stage that is under development at the Malta College of Arts, Science and Technology (MCAST), Malta. Malta is an island in the middle of the Mediterranean Sea having an area of 316km2 and receives the highest EU solar irradiance. The MCAST micro-grid is the first living laboratory for training and research on the island with one-third of the campus fully development in state-of-the-art facilities. In this case study, the loads consumption, photovoltaic (PV) generation and potential Electric Vehicles (EVs), that may support the campus when necessary are analysed for further designs supported by over 2 years of campus data. This analysis would provide the understanding of integrating future EVs on campus and higher penetration of PVs while keeping high consumption loads at watch. In addition, reliability and cost factors of the MCAST micro-grid are considered and recommendations are given on the infrastructure to complete campus wide transformation.