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The DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.2024-03-27T19:08:36ZDevelopment of a Machine Learning Based Control System for Vehicle Active Suspension Systems
http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/14658
Development of a Machine Learning Based Control System for Vehicle Active Suspension Systems
KALELİ, Ali Rıza; AKOLAŞ, Halil İbrahim
2022-01-01T00:00:00ZHypersphere and the Third Laplace-Beltrami Operator
http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/14657
Hypersphere and the Third Laplace-Beltrami Operator
GÜLER, Erhan
In this work, we examine the differential geometric objects of the hypersphere 𝐡� in four dimensional Euclidean geometry 𝔼�4. Giving some notions of four dimension, we consider the 𝑖�th curvature formulas of the hypersurfaces of 𝔼�4. In addition, we reveal the hypersphere satisfying ∆𝐈�𝐈�𝐈�𝐡� = 𝒜�𝐡� for some 4×4 matrix 𝒜�.
2022-01-01T00:00:00ZForecasting of Export Volume Using Artificial Intelligence Based Algorithms
http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/14656
Forecasting of Export Volume Using Artificial Intelligence Based Algorithms
ÖZDEN, Erdemalp
Technological breakthroughs have transformed communication and taken transportation, health, and commerce to an unprecedented level. In this way, sudden developments have rapidly affected all countries. In this context, analysis methods are changing compared to the past, and annual analyses fail to catch the trend even for macroeconomic indicators. In this paper, new artificial intelligence-based estimation methods were used to see the future trend of export volume, and their estimation performances were compared by adding them to the classical econometric method. Historical quarterly data from 2013 to 2021 were used in the training and testing phases of the models. For this purpose, the variables of gross domestic product, foreign direct investment, and dollar exchange rate, which affect the export volume, were determined as inputs in estimating the export volume. According to the analysis results, support vector machine model was determined as the best method for predicting export volume in Turkey. This study can provide an essential basis for policymakers to export estimation and formulate their export-enhancing policies effectively.
2022-01-01T00:00:00ZDurability Analysis in Seat Components Based on Design Criteria
http://dspace.beu.edu.tr:8080/xmlui/handle/123456789/14655
Durability Analysis in Seat Components Based on Design Criteria
BOLU, Hüseyin Sertan; ÇAVUŞOĞLU, Oktay; DİNDAR, Çiğdem; AYDIN, Hakan
In this study, the suitability of the M1 class vehicle rear seat according to the ECE R17 luggage retention regulation has been examined. Strength improvement studies were carried out on the seat corner component. The development studies for the seat design according to the boundary and loading conditions specified by the ECE R17 regulation were created in the finite element method pre-processing software Hyper Mesh and the analysis was carried out in the RADIOSS solver. The design of the seat, which was determined by finite element analysis results, was verified by physical tests
2022-01-01T00:00:00Z