TR-Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1927

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2019 Yılında Türk Dış Politikasının Manevra Alanı Genişleyebilir
(BİLGESAM, 2019) Kibaroğlu, Mustafa
Bu yazımızda, Türkiye’nin ABD, Rusya, AB ve İran ile olan ilişkilerinde hassas bir denge yakalaması yoluyla, dış politika ve güvenlik konularında kendini daha avantajlı bir konuma getirmesine katkı yapabilecek siyasi, iktisadi ve askeri unsurları ele alacağız.
Citation - WoS: 1
Citation - Scopus: 2
Determining and Evaluating New Store Locations Using Remote Sensing and Machine Learning
(Tübitak, 2021) Ünsalan, Cem; Turgay, Zeynep Zerrin; Küçükaydın, Hande; Höke, Berkan
Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the corresponding region, and hence, the volume of the residential area. Thus, estimating building volumes provides insight about the revenue if a new store is about to be opened there. Remote sensing through stereo/tri-stereo satellite images provides wide area coverage as well as adequate resolution for three dimensional reconstruction for volume estimation. We reconstruct 3D map of corresponding region with the help of semiglobal matching and mask R-CNN algorithms for this purpose. Using the existing store data, we construct models for estimating the revenue based on surrounding building volumes. In order to choose the right location, the suitable utility model, which calculates store revenues, shouldbe rigorously determined. Moreover, model parameters should be assessed as correctly as possible. Instead of using randomly generated parameters, we employ remote sensing, computer vision, and machine learning techniques, which provide a novel way for evaluating new store locations.
Nato and Public Diplomacy: Opportunities and Constraints of 21st Century
(SAM, 2021) Güleç, Cansu
The main objective of this paper is to explain and interpret the evolution of NATO’s public diplomacy efforts in terms of the opportunities and limi- tations of today’s globalized environment. Public diplomacy refers to the efforts of states and non-state actors to better explain their values to the world. It concentrates particularly on “soft power” tools, such as science, art, culture, sports and media that enable interaction between societies. Because NATO is widely associated with security and defense issues, it is important to understand how it responds to the developments of today’s diplomatic trends with its own public diplomacy and communication ac- tivities. As technology continues to change and evolve, NATO’s commu- nication strategies have faced new types of networks and platforms. Now celebrating its 72nd anniversary, the Alliance seeks to embrace and imple- ment a contemporary communication policy with new mechanisms. Within this framework, this paper will provide a definition of the concept of public diplomacy, and explore the historical evolution of NATO’s public diploma- cy agenda. NATO’s coordination activities and values, practical means of communication and their expected impact will be discussed.
Citation - WoS: 8
Citation - Scopus: 8
Zaman Pencereli ve Değişken Başlama Zamanlı Bir Araç Rotalama Problemi için Sütun Türetme Temelli Matsezgiseller
(DergiPark, 2019) Küçükaydın, Hande
In this study, a vehicle routing problem with time windows is investigated, where the costs depend on the total duration of vehicle routes and the starting time from the depot for each vehicle is determined by a decision maker. In order to solve the problem, two column generation based mat-heuristics are developed, where the first one makes use of the iterated local search and the second one uses the variable neighbourhood search. In order to assess the accuracy of the mat-heuristics, they are first compared with an exact algorithm on small instances taken from the literature. Since their performance are quite satisfactory, they are further tested on 87 large instances by running each algorithm 3 times for each instance. The computational results prove that the mat-heuristic using the variable neighbourhood search outperforms the other one. Hence, this enables to obtain a good feasible solution in a very short time when it is not possible to solve large instances with an exact solution method in a reasonable CPU time.

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