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Within Ottoman Text Archive Project a web interface to aid in uploading, binarization, line and word segmentation, labeling, recognition and testing of the Ottoman Turkish texts has been developed. It became possible to retrieve expert knowledge of scholars working with Ottoman archives through this interface, and apply this knowledge in developing further technologies in transliteration of historical...
In this study a proposal is made to classify the maqams of songs in Turkish Maqam Music. The MIRToolbox (a toolbox for MATLAB) is used to extract the features which are used in audio and music processing. Obtained data are preprocessed by principal component analysis. The songs are clustered by k-means algorithm and classified by feed forward artificial neural networks according to their maqams.
Pattern identification algorithms can be exploited for single-class or multi-class identification problems. In conventional applications, identification algorithms are based on functions of measured features. However in some cases, we already have an identification algorithm but the measured features are different from the features expected by the algorithm. In such cases, we can first estimate the...
Wireless technologies which are the most important development areas in the twenty-first century and Wireless Body Sensor Networks which are developed for use in health care continues to be the focus on attention of researchers. Wireless Body Sensor Networks are used for monitoring health signals such as body temperature, heart pulse, EEG, and ECG of the people who are old, chronic illness or weak...
In this study, a system with reinforcement learning for push-pull mesh based video streaming applications running over p2p networks is designed. In push-pull based video streaming systems, each node in the system may receive video data from more than one parent. In the proposed system, a node which started to receive insufficient video data from any parent selects a new parent with a probabilistic...
Today, software defined radio systems are superseding traditional radio communication systems rapidly. In this process flexibility and upgradeability of software plays an important role. In this project, a “Directional Frequency Analysis and Recording” (DIFAR) type sonobuoy receiver has been developed using software defined radio. Sonobuoy is a system that can be thrown from aircraft or ship for detecting...
As a result of rapid advances in information technology electronic mail has become one of today's most important communication tool. Electronic mail which provides conveniences to its user in many cases, is also an attractive environment for criminals. Malicious electronic mail whose actual owner is uncertain, is taking place in cyber crimes and authorship analysis has become necessary for determining...
Considering the modern internet traffic rates, the network architecture is of particular importance as the running services itself. On the other hand, due to the increasing complexity and black-box structure of the available networking hardware (switches, routers, etc.), the necessary network innovation imposed by the running services becomes infeasible in practice. The software-defined networking...
In current Internet, the most significant and the growing promotion rate of the network resources usage is due to the Peer to Peer(P2P) applications. These studies show us that the main traffic type, that Internet Service Providers (ISPs) should route, is P2P traffics. Since P2P overlay network model is networkoblivious, due to its nature, it causes inefficient network utilization, and low quality...
In this study, in order to diagnose congestive heart failure patients (CHF), Poincare map obtained from raw ECG data is used. CHF and normal ECG data, which are distributed freely via internet, are analyzed. Poincare map is divided into equal rectangle cells and points in all of the cells are determined. These values are used for knn (k-nearest neighbour) classification. At the result of this study,...
Nowadays, when internet is taken into account with containing kinds of information and dimensions, we can say that it constitute the most important resource in every kinds of research. Having such big data amount also affects users, at searching processes on internet cause new searching. Aim of this study is finding incident which end up death and injury, extracting number of death and injure from...
Hadoop Distributed File System (HDFS) is widely used in large-scale data storage and processing. HDFS uses MapReduce programming model for parallel processing. The work presented in this paper proposes a novel Hadoop plugin to process image files with MapReduce model. The plugin introduces image related I/O formats and novel classes for creating records from input files. HDFS is especially designed...
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