Department of Architecture

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    Virtual reality for lost architectural heritage visualization utilizing limited data
    (International Society for Photogrammetry and Remote Sensing, 2022-02-25) Gunay, Serkan
    The process of building digital models of architectural heritage has become increasingly complex and accordingly this enables the potential of utilizing digital techniques as a tool in the context of research. Depending on the objective of the research, there are various tools and outcomes. Ranging from information management projects by using Building Information Modelling (BIM) and Geographical Information Systems (GIS) technologies, to providing Virtual Reality (VR) and Augmented Reality (AR) by using smart technologies for visualization of architectural heritage, there is an increasing demand because of their fast developing technological abilities. Additionally, the digitization processes also becoming less dependent to the information coming from the building and as a result the subject of such research includes buildings that have disappeared without various archival data or other types of historical information. This paper investigates the different visualization techniques and tools for lost architectural heritage examples in postconflict societies with limited available data, focusing on the VR mobile applications and their implementations. © 2022 Author(s).
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    Clustering Countries According to Their Cultural Proximity and Similarity
    (Springer Science and Business Media B.V., 2017) Dankert, Angelika C. ; Dekkiche, Hamoud ; Baadel, Said ; Kabene, Stefane M.
    Clustering countries mathematically according to Geert Hofstede’s cultural proximity and similarity factors is one way of classifying regional communities into well-defined cultural categories. Trying to test this statement mathematically shows that classifying countries or cultures remains complex. The approach shows a lack of an overall scheme and even when common variables exist, it seems that random and coincidental similarity weighs strongly on most variables used in the model. The results emphasize the need for more research in order to support the model. © 2017, Springer International Publishing Switzerland.
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    Cognitive Computational Model Using Machine Learning Algorithm in Artificial Intelligence Environment
    (Sciendo, 2022) Liu, Shangyi ; Spiridonidis, Constantin-Viktor ; Abdulrazzqa, Mohammed
    In order to explore the application of machine learning algorithm to intelligent analysis of big data in an artificial intelligence (AI) environment, make cognitive computing meet the requirements of AI and better assist humans to carry out data analysis, first, the theoretical basis of machine learning algorithm is elaborated. Then, a cognitive computational model based on the machine learning algorithm is proposed, including the essence, principle, function, training method of deep belief network (DBN) algorithm, as well as the joint use of DBN algorithm and multilayer perceptron. Finally, the proposed algorithm is simulated. The results show that under the same parameter conditions, the accuracy rate of the DBN algorithm combined with multilayer perceptron is higher than that of the DBN algorithm; when the number of units is >40, the accuracy rate of the DBN algorithm combined with multilayer perceptron is significantly higher than that of the DBN algorithm; when the number of units is 30, the best effect can be obtained, and the error rate is <0.05, but the DBN algorithm cannot achieve this effect alone; when the number of network layers is specified as four, the error rate of the DBN algorithm combined with multilayer perceptron is <0.05, forming the optimal level. In the AI environment, the performance of the cognitive computational model based on the DBN algorithm and multilayer perceptron can reach the highest level, which makes the computer become a handy intelligent auxiliary tool for human beings. © 2021 Liu et al., published by Sciendo.
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    Research on online advertising attention evaluation decision based on the stability of delay differential equations and Hopf bifurcation analysis
    (American Institute of Mathematical Sciences, 2021) Xie, Xinzhou ; Wang, Zhongru ; Tian, Li ; Dekkiche, Hamoud ; Salama, Mohamad
    This paper uses the stability of the delay differential equation to study its impact on online advertising, helps analyze Hopf branch characteristics in a big data environment, helps companies make online advertising decisions, and maximizes the benefits of product sales. The thesis fully considers various factors such as advertising volume, advertising schedule, and advertising investment level, discusses the singularity types of the advertising delay differential equation, and gives the best decision for advertising investment.The stability of the time-lag differential equation studied in this paper is to study its impact on online advertising, to help analyze the Hopf branch characteristics in the big data environment, and to help companies make online advertising decisions. structure of this article is also from the amount of advertising, the time of advertising, Advertising investment level gradually expands with a certain degree of continuity. © 2021 American Institute of Mathematical Sciences. All rights reserved.
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    Geometries
    (Lifelong Learning EU, 2019-02-01) Spiridonidis, Constantin Victor
    Geometry as a discipline related to forms and their order, in the intellectual tectonics of Architecture? What is its contribution, its position? Does Geometry affect this 'archi-tecture' by enriching its contents with notions and meanings or, on the contrary, does it affect it by eliminating or restricting its potential formal configurations? Is this diachronic symbiosis with Architecture dynamic, inspirational, instrumental, deliberative, imposing? Does Geometry act as a framework to create an enclosure or does it constitute an escape room from the ordinary, the established, the regular, the 'out of the comfort zone', and to investigate in freedom the new normal, the innovative, the original or, at least, the different and the better? Architecture is addressed to Geometry with entirely different demands in time. We could, therefore, suggest that there are many versions of Geometry affiliated with architecture, that is to say, many Geometries. This essay examines the role of Geometry in architectural thinking and practice in three major periods of architectural development. The first is the period in which the focal point of architectural thinking is the cosmic and the divine, (from the antiquity till about the 13th Century) where Geometry is that of the Master Builder. The second is the era of humanism, where the central preoccupation of Architecture is the human (from the Renaissance to the late 20th Century), and Geometry is that of visual perception. The third is the emerging era of the post-human, where the main focus of Architecture becomes 'Gaia,' the Planet as an alive ecology that emerges from the symbiosis between the natural and the artificial, and Geometry is that of data. © 2019 Lifelong Learning EU.