Mimar Sinan Fine Arts University

Fndkl, Turkey

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Arabacioglu B.C.,Mimar Sinan Fine Arts University
Applied Soft Computing Journal | Year: 2010

Though architectural space is the main source and the only indispensable component of any architectural construction, in many cases its boundaries are uncertain, leading intuitive spatial design. Creating a mathematical model of architectural space with concrete results will offer many possibilities for design process in analysing spatial organization, independently from in architect's experience and intuitions. This paper presents a fuzzy inference system based spatial analysis model for spatial analysis for architectural design which brings many advantages to design process. The aim of this article is to investigate the potential of a fuzzy system with a Mamdami inference engine, considering different numbers of membership functions. Two venues have been selected and the fuzzy inference system based spatial analysis model is applied. For better judgement, outcomes of the model have been compared to depthmap analysis model. The results of the model indicate that fuzzy inference system based spatial analysis model performs very well, even with the limited and imprecise data. Such prototype can evolve into a tool for identifying spatial formations for improvements during the architectural design process. © 2009 Elsevier B.V. All rights reserved.

Kocabas A.,Mimar Sinan Fine Arts University
Habitat International | Year: 2013

The aim of this paper is to analyse the emergence of urban planning for climate change in Turkey, with particular reference to climate change mitigation, and to assess the prospects of a gradual transition to low carbon urbanisation. The paper first establishes an analytical perspective, in terms of normative models of low carbon urban development and the specificities of Turkish urbanisation processes. This perspective informs the analysis of the evolution of policies to reduce carbon emissions from cities which led to adoption of the first Turkish National Climate Change Action Plan in July 2011.The paper then argues that a move towards low carbon urbanisation is contingent on integrating national energy and climate change policies with evolving national policies for urban development and regeneration. The paper concludes that recent national policy innovations are an important first step and that continuing international support will sustain the momentum, but that significant progress towards low carbon urbanisation in Turkey will depend on the effectiveness of continuing efforts to improve the regulation of urban development. © 2011 Elsevier Ltd.

Kocadagli O.,Mimar Sinan Fine Arts University | Asikgil B.,Mimar Sinan Fine Arts University
Expert Systems with Applications | Year: 2014

The Bayesian learning provides a natural way to model the nonlinear structure as the artificial neural networks due to their capability to cope with the model complexity. In this paper, an evolutionary Monte Carlo (MC) algorithm is proposed to train the Bayesian neural networks (BNNs) for the time series forecasting. This approach called as Genetic MC is based on Gaussian approximation with recursive hyperparameter. Genetic MC integrates MC simulations with the genetic algorithms and the fuzzy membership functions. In the implementations, Genetic MC is compared with the traditional neural networks and time series techniques in terms of their forecasting performances over the weekly sales of a Finance Magazine. © 2014 Elsevier Ltd. All rights reserved.

Kocadali O.,Mimar Sinan Fine Arts University
Applied Soft Computing Journal | Year: 2015

The Bayesian neural networks are useful tools to estimate the functional structure in the nonlinear systems. However, they suffer from some complicated problems such as controlling the model complexity, the training time, the efficient parameter estimation, the random walk, and the stuck in the local optima in the high-dimensional parameter cases. In this paper, to alleviate these mentioned problems, a novel hybrid Bayesian learning procedure is proposed. This approach is based on the full Bayesian learning, and integrates Markov chain Monte Carlo procedures with genetic algorithms and the fuzzy membership functions. In the application sections, to examine the performance of proposed approach, nonlinear time series and regression analysis are handled separately, and it is compared with the traditional training techniques in terms of their estimation and prediction abilities. © 2015 Elsevier B.V. All rights reserved.

Sev A.,Mimar Sinan Fine Arts University
Civil Engineering and Environmental Systems | Year: 2011

Building environmental assessment (BEA) tools have become widespread in recent years and attracted the construction sector and public awareness in sustainability. Being partially effective in mitigating the environmental impacts of buildings, these tools reveal difficulties in their application, especially for developing countries and regional adaptations. Most of the BEA tools have been developed nationally and reflect the priorities of the conditions under which they have emerged. However, they are directly used or adapted for use in other countries. Importing these tools from one nation to another causes problematic consequences. This paper presents a comparative analysis of the most widely used BEA tools, which are established in developed countries, and discusses the current situation of these tools. The most highlighting matters related with these tools are that, they mostly do not cover economic and social issues, which have priority for developing countries, they are not flexible for cultural and regional variations, and they do not reflect the results of the assessment in a comprehensive manner. The lack of a consensus-based weighting system is also another problematic issue. However, it is possible to enhance BEA tools for regional adaptations and developing countries, as well as for future versions. © 2011 Taylor & Francis.

Gundes S.,Mimar Sinan Fine Arts University
Construction Management and Economics | Year: 2011

Construction is commonly regarded as an important industry in economic policy making owing to its strong interactions with other sectors in the economy. Using six national input-output (IO) tables compiled to date and economic data for the period between 1969 and 2006, the behaviour of the Turkish construction sector and its relationships to investment, income and to other sectors in the economy are examined. Analysis reveals that the construction industry is losing its propulsive role and that it tends to exaggerate the fluctuations of the economy. The examination of lead and lag times between changes in GNP, construction activity and investments show that public sector spending cuts, in particular, have significant effects on the amplitude and the timing of slumps of the industry. The analysis of linkage indicators indicates that for the whole period under consideration the construction industry has high linkages with only one other industry. Thus the 'leading' role it plays in the economy is questioned. © 2011 Taylor & Francis.

Unsal B.O.,Mimar Sinan Fine Arts University
Housing Studies | Year: 2015

From the early 2000s, urban policy-makers in Turkey have promoted ‘urban regeneration’ as the main tool to transform low-income housing areas, along with former industrial estates, disused port facilities and so on, into modern living, working, shopping and entertainment areas. The intention has been to boost land and property values by transforming both the physical appearance and the sociocultural and class composition of selected sites. But while the impact, the rationale and the outcomes of urban regeneration in Turkey are broadly similar to those reported in the substantial global literature on ‘urban regeneration’, a case-study approach shows that a number of crucial context-specific factors have shaped the assumption and responses of key players and collective actors. These in turn have determined how ‘regeneration policies’ are finally translated into practice. This article illustrates this point by describing a particular recent case study in Istanbul: the Tozkoparan Regeneration Project. © 2015 Taylor & Francis.

Senoguz V.N.,Mimar Sinan Fine Arts University | Shafi Q.,University of Delaware
Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics | Year: 2016

We consider non-supersymmetric GUT inflation models in which intermediate mass monopoles may survive inflation because of the restricted number of e-foldings experienced by the accompanying symmetry breaking. Thus, an observable flux of primordial magnetic monopoles, comparable to or a few orders below the Parker limit may be present in the galaxy. The mass scale associated with the intermediate symmetry breaking is 1013 GeV for an observable flux level, with the corresponding monopoles an order of magnitude or so heavier. Examples based on SO(10) and E6 yield such intermediate mass monopoles carrying respectively two and three units of Dirac magnetic charge. For GUT inflation driven by a gauge singlet scalar field with a Coleman-Weinberg or Higgs potential, compatibility with the Planck measurement of the scalar spectral index yields a Hubble constant (during horizon exit of cosmological scales) H∼7-9×1013 GeV, with the tensor to scalar ratio r predicted to be ≳0.02. Proton lifetime estimates for decays mediated by the superheavy gauge bosons are also provided. © 2015 The Authors.

Akkaya Arier U.O.,Mimar Sinan Fine Arts University | Tepehan F.Z.,Technical University of Istanbul
Composites Part B: Engineering | Year: 2014

In this work, TiO2-Al2O3 nano-composite films were deposited on glass substrates by the sol gel method. The structural and optical properties of TiO2-Al2O3 nano composite films were characterized for different Al2O 3:TiO2 volume ratio in TiO2-Al 2O3 solution. The crystal size of TiO2 nanoparticles in TiO2-Al2O3 nano-composite films was determined for the different Al2O3:TiO 2 volume ratios. Band gap energy values of the films were controlled by changing Al2O3:TiO2 ratios. The properties of TiO2-Al2O3 nano-composite films were characterized by X-ray diffraction (XRD), atomic force microscopy (AFM), ultraviolet-visible spectroscopy (UV-vis), scanning electron microscopy (SEM), spectrophotometer (Perkin-Elmer), and Fourier transform infrared spectroscopy (FTIR). SEM results showed flower-like TiO2-Al2O 3 nano-composite films. © 2013 Elsevier Ltd. All rights reserved.

Isikdag U.,Mimar Sinan Fine Arts University
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2015

Internet-of-Things (IoT) focuses on enabling communication between all devices, things that are existent in real life or that are virtual. Building Information Models (BIMs) and Building Information Modelling is a hype that has been the buzzword of the construction industry for last 15 years. BIMs emerged as a result of a push by the software companies, to tackle the problems of inefficient information exchange between different software and to enable true interoperability. In BIM approach most up-to-date an accurate models of a building are stored in shared central databases during the design and the construction of a project and at post-construction stages. GIS based city monitoring/city management applications require the fusion of information acquired from multiple resources, BIMs, City Models and Sensors. This paper focuses on providing a method for facilitating the GIS based fusion of information residing in digital building "Models" and information acquired from the city objects i.e. "Things". Once this information fusion is accomplished, many fields ranging from Emergency Response, Urban Surveillance, Urban Monitoring to Smart Buildings will have potential benefits.

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