Fen Bilimleri Enstitüsü: Recent submissions

  • Named entity recognition for Turkish microblog texts using semi-supervised learning with word embeddings 
    Okur, Eda. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Recently, due to the increasing popularity of social media and the value of information contained within real data, the necessity for extracting information from informal text types such as microblog texts has gained ...
  • Learning-based wavelength assignment in optical burst switching networks 
    Korçak, Ömer. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    As in any WDM network, the wavelength conversion capability of routers has a major effect on the performance of OBS networks. However, wavelength conversion is an immature and expensive technology and still remains as a ...
  • Negotiating privacy constraints in online social networks 
    Mester, Yavuz. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Privacy is a major concern of Web systems. Traditional Web systems employ static privacy policies to notify its users of how their information will be used. Recent social networks allow users to specify some privacy concerns, ...
  • Meshless modeling of wave induced flows inside sandy sea beds 
    Timuçin, Burak Can. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2015., 2015.)
    Ocean waves have been research focus for scientists and engineers for the last several decades, being one of the most dominant physical phenomena that affect the coastal zones. Varieties of wave theories have been developed ...
  • Parallelization of a furnace simulation code for multi-core machines 
    Domazet, Evrim. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Şişecam uses Fortran programs that implement mathematical models for designing glass furnaces and for planning optimized operational criteria. The mathematical model for glass furnaces employs revised version of Patankar ...
  • Question analysis and information retrieval for a Turkish question answering system: 
    Derici, Caner. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    This study describes and evaluates the techniques we developed for the question analysis and information retrieval (IR) module of a closed-domain Turkish factoid Question Answering (QA) system that is intended for high-school ...
  • Design and performance analysis of a resource management platform in response to emergency and disaster situations 
    Uygun, Volkan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    This thesis focuses on the development and use of algorithms that address the issue of resource management in response to emergency and disaster situations. The presented system, named Disaster Management Platform (DMP), ...
  • Cost-aware network hardening using compact attack graphs 
    Yiğit, Beytüllah. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Attack graphs provide analytical support to prevent multistep network attacks by showing all possible sequences of vulnerabilities and their interactions. Since at- tack graphs generally consist of a very large number of ...
  • Detecting subjectivity in the news texts in Turkish language 
    Öztürk, Dicle. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Subjectivity and sentiment analysis research has gained increasing attention in the recent years like many language technologies. Its aim is to investigate and to develop techniques to recognize subjectivity or sentiment ...
  • Joint overlay routing and relay assignment for green networks 
    Ekici, Fatma. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Power consumption of information and communication technologies (ICT) has increasingly become an important issue in the last years. Both energy costs and environmental concerns call for energy aware “green” networking ...
  • Transmitter location estimation using software defined radio 
    Özşahin, Mustafa Tuğrul. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    This thesis focuses on the practical implementation of transmitter location estimation algorithms using software de ned radio devices for the purpose of radio environment map construction, which is used to determine primary ...
  • Randon discriminative projection-based feature selection for computational paralinguistics 
    Özkaptan, H. Tuğçe. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Computational paralinguistics deals with the underlying meaning of the verbal messages. Understanding the meaning of verbal messages provides interpreting spoken content and behaving accordingly like humans. It allows us ...
  • A scorm compliant course framework for distance learning 
    Sönmezer, Barış İbrahim. (Thesis (M.S.)-Bogazici University. Institute for Graduate Studies in Science and Engineering, 2004., 2004.)
    The purpose of the thesis is to construct a distance learning system for the educational content of the CMPE 150 course named "Introduction to Computing". Actually, a framework has been developed to transport other ...
  • Semi-supervised learning based named entity recognition for morphologically rich languages 
    Demir, Hakan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    In this study, we addressed the Named Entity Recognition (NER) problem for morphologically rich languages by employing a semi-supervised learning approach based on neural networks. We adopted a fast unsupervised method for ...
  • Analysing drug taggets using ligand similarity 
    Öztürk, Hakime. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Analysis of the interactions between target proteins and drugs is crucial not only for drug discovery, but also for a better understanding of the possible evolutionary pressure that the drugs exert on the proteins. Based ...
  • Countrywide anomalous incident detection from aggregated mobile phone data 
    Gündoğdu, Didem. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Mobile phones are extensively used both in developed and developing countries. Richer countries tend to use it as a computer, whereas in developing countries it is a kind of replacement of inadequacy of infrastructure, or ...
  • Multi-document summarization using dependency grammars 
    Bilgin, Şaziye Betül. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Information overload is one of the greatest challenges in recent years, especially due to the rapid increase of data produced on the Internet. Automatic summarization of documents about similar topics is a salient solution ...
  • Dynamic data race detection in concurrent programs 
    Kalacı, Önder. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    Recent advances in hardware drive software to be more concurrent than ever. Concurrency in software is achieved by multithreading, which creates veri cation challenges. These challenges include problems such as deadlocks, ...
  • Utilizing out-of-domain data through languaghe modeling based vocabulary saturation for English-Turkish machine translation 
    Aydın, Burak. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    The training data size is of utmost importance for statistical machine translation (SMT), since it a ects the training time, model size, decoding speed, as well as the system's overall success. One of the challenges for ...
  • System level synthetic benchmarks for multicore architectures 
    Kara, Gökçehan. (Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2014., 2014.)
    System-level benchmarks enable performance evaluation early in the design cycle of multi-core architectures. However, benchmark development is costly. Synthetic benchmarks have similar performance behavior as the originals ...