Ozkan H.,Fatih Sultan Mehmet Waqf University |
Kayhan O.S.,Fatih Sultan Mehmet Waqf University
2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 | Year: 2016
Rapid Diagnostic Tests (RDTs) are commonly used in microbiology laboratory of hospitals to diagnose many diseases in a short period of time. Conversely, the RDTs reading are carried out visually by medical workers. The lines which will appear in ROI (Region of Interest) window might not be possible to be seen clearly in each time during the test process. False evaluations can occur because of tentative lines. In this paper, the lateral flow strip based RDT tests are evaluated by a tablet computer. Automatic and real time results are achieved and the clinicians are informed by an e-mail. 100 of lateral flow strip based RDTs were analysed with the designed RDT reader automatically and it is observed that the proposed system works accurately. © 2016 The Chamber of Turkish Electrical Engineers.
Dabanli O.,Fatih Sultan Mehmet Waqf University
IOMAC 2017 - 7th International Operational Modal Analysis Conference | Year: 2017
Nur-u Osmaniye Mosque that was built between 1748 and 1755 is one of the enormous monuments of Ottoman capital, Istanbul. The mosque is unique in terms of being first royal religious complex with Ottoman Baroque style and a oval shaped courtyard. The mosque differs from the classical period with its architectural style and construction techniques such as structural use of iron, the design of substructure and wooden pile foundations. This study focuses on the determination of structural dynamic properties of Nur-u Osmaniye Mosque which is an 18th century historic masonry monument through operational modal analysis. The paper includes selection of the locations for instrumentation and process of data recording. The acquired data collected from the structure were used to identify the dynamic parameters of the structure such as main frequencies and corresponding modes.
Aydin M.,Fatih Sultan Mehmet Waqf University |
Kugu E.,Turkish Air force Academy
2016 6th International Conference on Digital Information and Communication Technology and Its Applications, DICTAP 2016 | Year: 2016
In this study, determining of the suitable landing areas on the topographical maps were determined for emergency landing of the Unmanned Air Vehicles (UAVs) during flight. In order to reach desired goals of this work, Shuttle radar topography mission maps (SRTM) was used. Nowodays, UAV have been intensively used in civillian and military applications. There are urgent needs on increasing of autonomy of the UAVs, decreasing human expertise and making smarter of UAV systems has become an inevitable necessity. Unexpectable stiuations (i.e. motor or comminatication failure, etc...) can arise while missions of the UAV. Emergency landing system must be activated by autonomously and then landed on the ground in safely while occuring some failure mentioned above. Two different techniques were chosed for determining probable landing areas by using digital elevation maps (SRTM). Firstly, surface fitting approximation was applied by using Least Squares Error (LSE). The slope of the points were calculated to specify of the smoothness rate of the landing areas. Smooth areas were signed by using SRTM datas. Image processing techniques were utilized for marking of the smooth areas and determinig boundries of the landing areas. The smooth landing areas were groupped with Blob analysis. The noise of the ground specified as landing areas were reduced with morphological image processing (performs morphological openning). UAVs system can be made smarter with specifying of the landing areas and planning of the path according to emergency cases. With designed systems, the UAV could be guided to the suitable landing zones vice versa undesirable areas by limiting of the landing path in the emergency cases of the UAV. © 2016 IEEE.
Ozkan H.,University of California at Los Angeles |
Ozkan H.,Fatih Sultan Mehmet Waqf University
Entropy | Year: 2016
Parkinson's disease (PD) is a progressive and chronic nervous system disease that impairs the ability of speech, gait, and complex muscle-and-nerve actions. Early diagnosis of PD is quite important for alleviating the symptoms. Cost effective and convenient telemedicine technology helps to distinguish the patients with PD from healthy people using variations of dysphonia, gait or motor skills. In this study, a novel telemedicine technology was developed to detect PD remotely using dysphonia features. Feature transformation and several machine learning (ML) methods with 2-, 5- and 10-fold cross-validations were implemented on the vocal features. It was observed that the combination of principal component analysis (PCA) as a feature transformation (FT) and k-nearest neighbor (k-NN) as a classifier with 10-fold cross-validation has the best accuracy as 99.1%. All ML processes were applied to the prerecorded PD dataset using a newly created program named Park Det 2.0. Additionally, the blind test interface was created on the Park Det so that users could detect new patients with PD in future. Clinicians or medical technicians, without any knowledge of ML, will be able to use the blind test interface to detect PD at a clinic or remote location utilizing internet as a telemedicine application. © 2016 by the authors.
Gul M.,TOBB University of Economics and Technology |
Dee J.,International University of Sarajevo |
Nur Cunuk C.,Fatih Sultan Mehmet Waqf University
Journal of Architecture and Urbanism | Year: 2014
May 2013 saw Istanbul witness a massive public demonstration. The incident began on 28 May when a small group of environmental activists tried to save Gezi Park, one of the most iconic green spaces in the Taksim district of central Istanbul. The park dates back to the 1940s and is well-known as public promenade. The modest demonstration was triggered by a government decision to reconstruct a former Ottoman Artillery Barracks. Within a few days, it developed into a violent uprising on an unprecedented scale lasting almost an entire month. Crowds not only gathered in Istanbul but also in many other Turkish cities such as the capital, Ankara. International media broadcast the protests live from Taksim Square turning the Gezi Park protest into an international phenomenon. Today the Park has become a reference point in Turkish politics where almost every issue is linked to the 'spirit of Gezi'. It made a modest protest over an inner city promenade into a vivid symbol of political opposition. This paper will analyse historically the Taksim Square project and the ideological conflicts it evoked in Turkish society. © 2014 Vilnius Gediminas Technical University (VGTU) Press Technika.
Guclu Y.S.,Technical University of Istanbul |
Yelegen M.T.,Fatih Sultan Mehmet Waqf University |
Dabanli T.,Technical University of Istanbul |
Sisman E.,Yildiz Technical University
Solar Energy | Year: 2014
Solar irradiation calculations depend on atmospheric variations and sunshine duration record interval. Generally, it is calculated by using the classical Angström-Prescott equation, which provides a linear relationship between the solar irradiation and sunshine duration. Also few 2nd and 3rd degree solar radiation and sunshine duration models are proposed by different authors. Natural events do not have temporal and spatial independent structures. In this paper, three solar irradiation models are used for solar radiation examination in three of the southern cities, Adana, Antakya and Silifke in Turkey. One of these models are proposed in this work as dependency model and this is compared with the Angström-Prescott model and fuzzy logic ANFIS model. The comparison illustrates that dependency model is superior over other approaches. © 2014 Elsevier Ltd.
Buyuk O.O.,Fatih Sultan Mehmet Waqf University |
Bilgin S.N.,Fatih Sultan Mehmet Waqf University
4th International Istanbul Smart Grid Congress and Fair, ICSG 2016 | Year: 2016
In this paper, a novel system application to recover electricity losses using an unsupervised learning, self-learning mapping mechanism is introduced. Actually, energy and its transmission are becoming a vital issue for both the economy and the environment. Considering many devices in our world run on electricity, it is now important to keep up with how we can obtain maximum energy efficiency in electricity transmission by reducing losses and leakage. A new system application and module approach can communicate with electricity transmission lines to define and track energy losses. In this study, we examine how the system uses unsupervised learning to find the best transmission path to follow. This application is designed to interconnect with electricity transmission line on smart grids. This system also has critical recovering on CO2 emissions occurring on routing correct plan, notification integration which may prepare a report to the network nodes by itself. © 2016 IEEE.
Sarioglu-Erdogdu G.P.,Fatih Sultan Mehmet Waqf University
Habitat International | Year: 2015
The body of literature on residential satisfaction has been growing not only in housing studies, but also in numerous other disciplines like urban planning, sociology and demographic studies. The absence of social housing, the high ratio of owner-occupation and the availability of good quality private rental stock in Turkey makes it a unique case for studies of residential satisfaction. This paper attempts to highlight the position of renters in Ankara as a specific group, arguing that the good physical attributes of the rental housing stock in Turkey serves for the "well-being" of renters, in contrast to the negative perceptions of renting presented in Western housing literature. The empirical part of the study reveals that physically the stock is not significantly differentiated with reference to tenure types. Furthermore, the social statuses of the tenants and owners are somewhat similar, meaning that the two population groups are not separated in the urban area. The results of the regression analysis reveal that "income" and "tenure type" are positive predictors of the well-being of households in Ankara, and much of this can be attributed to the decent quality of the Turkish stock. As long as there are no significant problems in their dwellings, renters tend to consider themselves as satisfied. © 2015 Elsevier Ltd.
Kudumovic L.,Fatih Sultan Mehmet Waqf University
Open House International | Year: 2015
Today, preserving architectural heritage is imposed as an obligation, regardless of the type of heritage. Heritage values are irreplaceable and priceless category of the remains of the human activities during the past, at the same time they are a category that seeks for a well prepared preservation program. Regarding a cultural heritage preservation program developed in Bosnia and Herzegovina, it is obvious that much more must be done to preserve all traces of history as well as to manage and understand the heritage in a broader context. The aim of this paper is to emphasize the importance of including different types of properties and urban areas, such as small scale towns, into heritage preservation and development programs. Settlement and heritage assets are subject to change in the future, but contemporary changes could be used as a driver for the development of a wide area and as a key resource for future development. In order to recognize and distinguish the geographical setting of the Bosna River valley as a whole comprised of serial properties, two case studies, namely Tesanj and Vranduk towns settled along the Bosna River are described, focusing on the values as well as development challenges associated with small scale towns in Bosnia and Herzegovina. Relationship between the natural and built heritage of the selected sites acknowledged by its uniqueness, authenticity and integrity could be accomplished through a HUL (Historic Urban Landscape) approach. In this paper, all necessary steps of an integrated management plan are briefly described for the proposed serial of properties, recognizing serial of properties as the only possible sustainable category for the heritage sites along the Bosna River.
Aydin M.,Fatih Sultan Mehmet Waqf University |
Kugu E.,Havacilik Ve Uzay Teknolojileri Enstitusu
2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings | Year: 2016
In this work, it is aimed to determine the suitable landing zones for the Unmanned Aerial Vehicles (UAVs) in case of an emergency during their missions. SRTM (Shuttle Radar Topography Mission) maps were used to reach that aim. Nowadays, it is observed that the UAVs are being used densely for both military and civilian purposes. So, it is inevitable to make the UAVs smarter and make them more autonomous to minimize their dependence on a person. UAVs can have unexpected problems during their missions such as motor fault, communication cut etc. In this situation, a UAV should activate the emergency landing systems and realize the landing safely. Image segmentation and blob analysis are used to determine the possible landing zones on the SRTM data. In this proposed system, the landing of a UAV to unwanted zones is limited and the UAV is guidance to the predetermined safe zones. © 2016 IEEE.