Every man-made structure creates certain risks — dams are no exception. Most failures in man-made structures that have occurred could have been avoided if the structures’ behaviour had been inspected, monitored, and analyzed continuously, and if proper corrective measures had been taken in a timely fashion. The DSI (The General Directorate of State Hydraulic Works), which is the institution responsible for dam safety, has long used surveying methods to measure the displacements of geodetic points as a part of dam monitoring policy. In this study, we focus on the dam's mechanical behaviour throughout a time period of more than 10 years. These study results have been derived from a separate, ongoing project that has monitored deformation on the Ataturk Dam and is now determining the water level of the reservoir. The project results show that although the dam body has become more stable and the water load behind the dam has increased, the rate of displacement of the dam has declined significantly. From these results, it can be seen that the reservoir water level can be increased evenly over time and that 542 m is the maximum water level of the dam's reservoir.

This paper examines the relationship between pedestrian density and space syntax measures in a university campus using ordinal logistic regression analysis. The pedestrian density assumed as the dependent variable of regression analysis was categorised in low, medium, and high classes by using Jenks natural break classification. The data elements of groups were derived from pedestrian counts performed in 22 gates 132 times. The counting period grouped in nominal categories was assumed as an independent variable. Another independent was one of the 15 derived measures of axial analysis and visual graphic analysis. The statistically significant model results indicated that the integration of axial analysis was the most reasonable measure that explained the pedestrian density. Then, the changes in integration values of current and master plan datasets were analysed using paired sample t-test. The calculated p-value of t-test proved that the master plan would change the campus morphology for pedestrians.

Social media (SM) can be an invaluable resource in terms of understanding and managing the effects of catastrophic disasters. In order to use SM platforms for public participatory (PP) mapping of emergency management activities, a bias investigation should be undertaken with regard to the data related to the study area (urban, regional or national, etc.) to determine the spatial data dynamics. Thus, such determinations can be made on how SM can be used and interpreted in terms of PP. In this study, the city of Istanbul was chosen for social media data research area, as it is one of the most crowded cities in the world and expecting a major earthquake. The methodology for the data investigation is: 1. Obtain data and engage sampling, 2. Identify the representation and temporal biases in the data and normalize it in response to representation bias, 3. Identify general anomalies and spatial anomalies, 4. Manipulate the trend of the dataset with the discretization of anomalies and 5. Examine the spatiotemporal bias. Using this bias investigation methodology, citizen footprint dynamics in the city were determined and reference maps (most likely regional anomaly maps, representation maps, time-space bias maps, etc.) were produced. The outcomes of the study can be summarized in four steps. First, highly active users generate the majority of the data and removing this data as a general approach within a pseudo-cleaning process means concealing a large amount of data. Second, data normalization in terms of activity levels, changes the anomaly outcome resulting from diverse representation levels of users. Third, spatiotemporally normalized data present strong spatial anomaly tendency in some parts of the central area. Fourth, trend data is dense in the central area and the spatiotemporal bias assessments show the data density varies in terms of the time of day, day of week and season of the year. The methodology proposed in this study can be used to extract the unbiased daily routines of the social media data of the regions for the normal days and this can be referred for the emergency or unexpected event cases to detect the change or impacts.

Türkiye tarih boyunca pek çok farklı medeniyete ev sahipliği yapmış bir ülke olması dolayısıyla bu medeniyetlere ait, oldukça çeşitli kültürel miras ögelerini içinde barındırmaktadır. Bu bağlamda, sahip olduğumuz bu kültürel mirasın korunması ve gelecek nesillere ulaştırılması oldukça önem arz etmektedir. Kültürel miras ögeleri zaman içerisinde birçok farklı sebepten ötürü deformasyona uğrayabilmekte veya tamamen yok olabilmektedir. Bu durumun önüne geçilebilmesi için öncelikle bu kültürel miras ögelerinin 3 Boyutlu (3B) dokümantasyonunun (belgelenmesinin) yapılması gerekmektedir. Dokümantasyon sonucunda elde edilen veriler, kültürel miras ögeleri üzerindeki deformasyonların izlenmesi, restorasyon çalışmaları gibi pek çok farklı alanda katkı sunabilmektedir. Günümüzde dokümantasyon çalışmalarında kullanılan farklı yöntemler mevcuttur. Arazi üzerinde veri toplaması aşamasında kullanılan yöntemlerden birkaçı; yersel fotogrametri, hava fotogrametrisi ve yersel lazer tarama (YLT) olarak gösterilebilir. Öte yandan, arazi çalışması aşamasında toplanılan verilerin işlenebileceği birçok yazılım mevcuttur. Bu çalışmada, İstanbul Fatih ilçesi sınırlarındaki Sultanahmet Meydanı’nda bulunan tarihi Dikilitaş’ın YLT tekniği kullanılarak taraması yapılmış ve üç farklı yazılım aracılığıyla nokta bulutu üretilmiştir. Bu yazılımların kültürel mirasın dokümantasyonu çalışmalarında kullanılabilirlikleri karşılaştırmalı olarak irdelenmiştir.

The Atatürk Dam in Turkey, constructed on the Firat River, is one of the world’s largest rockfill embankment dams. It was built to harvest and conserve water and to serve crucial agricultural, social-economic, recreational, and other activities in the Harran region. In this study, geodetic techniques were exploited to assess possible deformations of the embankment structure and add insight on critical dam safety. The geodetic approach included differential, trigonometric, and global positioning system (GPS) leveling observation campaigns over a period of 6.5 years from May 2006 through November 2012. The geodetic control network included 32 reference points and approximately 200 object points located on the surface of the embankment structure. The primary object points were stable concrete platforms embedded on the compacted rock surface, whereas the secondary object points were mounted directly to the compacted rock. All object points were equipped with forced centering mechanisms to support eit...

Navigation systems for impaired people is one of the recent developed applications for hearing or visually impaired people within the context of the in-door navigation technology that compatible with the smart phones. Loud steps is one of the examples of them. The application serves for guiding hearing and visually impaired people with the help of reading voice features of routing to independently around various places. Offices, homes, schools, hospitals, bus stations, airports, public institutions and other social and sport facilities ...etc. are among these destinations. It has been downloaded and used by 130.000 users including more than 20.000 visually impaired people at various institutions in 11 countries. The first implementation of the loud steps in Istanbul Technical University (ITU) was the Faculty of Civil Engineering in Ayazaga Campus area. Subsequently, the application has been established for another 4 buildings including lecture halls and 3 techno park buildings in campus. During the later stages of this project, the establishment of system will be carried out for the remained 12 faculties and 6 institutes located in the campus area. Moreover, outdoor navigation system also established to the campus to make all indoor system integrated for the benefits of hearing or visually impaired people around the whole 2.500.000 square meters campus area. Therefore, ITU Ayazaga Campus has an integrated indoor and outdoor navigation systems which taking these kind of people from any campus entrances using the outdoor navigation systems and to the any halls, lecturer's offices, laboratories, information desk, toilets, elevators also other emergency facilities such as fire exits or fire-escape stairs...etc. providing voice guidance with also visual navigation.