Search Results

Now showing 1 - 10 of 45
  • Conference Object
    Microstrip Antennas For WiMAX Applications
    (Ieee, 2015) Demirci, Tugkan; Caliskan, Fatma; Aydin, Elif
    In this paper, four different antenna types have been designed to be used for WiMAX applications. These antennas have been designed using HFSS simulation software. This paper has included the return loss and the radiation pattern of the designed antennas. Using the simulation results, it is shown that these four antennas are working on Wi-Fi and WiMAX frequency ranges.
  • Conference Object
    A Bayes decision model for RSS based location estimation
    (Ieee, 2007) Dincer, Zeynep; Oektem, Rwen; Aydin, Elif
    This work introduces a location estimation method based on Bayes Decision Theory using Radio Signal Strengths for indoor environment. Signal Strengths are observed through three transmitters at three distinct frequencies in UHF band, an active RFID tag and a modem connected to a computer. The test environment is 2100cmx720cm, which is divided into classed of square grids. For each class, a set of received signal strengths are measured and processed. Assuming that the class in which the RFID tag was located in the previous time of measurement is known, the next location (class) is estimated using Bayes Decision Theory. Proposed method is tested in a laboratory environment with obstacles. Results show that proposed method will be successful in location estimation where the estimation error stays within around 2m.
  • Conference Object
    Multiple Underwater Target Bearing Tracking Using Member Filter
    (Ieee, 2018) Gunes, Ahmet; Guldogan, Mehmet B.
    Underwater acoustic vector sensors (AVS) are devices which can measure scalar pressure and three dimensional acceleration or particle velocity with only one sensor. By using these four measurements, target detection and tracking is possible. In case multiple targets exist, multi-target detection and tracking methods must be applied. Because these methods are more general, the algorithms are more involved and complex. In this framework, multi-target multi-Bernoulli (MeMBer) is a promising filter based on random finite sets (RFS) for multi-target tracking problems. In this work, for the first time in the literature, MeMBer filter is analyzed using a single underwater acoustic vector sensor in a scenario including two targets. Simulation results indicate that MeMBer filter can successfully track the targets.
  • Conference Object
    Higher Order Statistical Analysis of Turkish Phones
    (Ieee, 2014) Tora, Hakan; Uslu, Baran
    In this study, histograms of Turkish phones were examined using higher order cumulants. As is known, phones constituting a language, are composed of letters as vowels and consonants. These letters can also be grouped as voiced and unvoiced phones. It is observed that unvoiced letters show a Gaussian-like distribution and result in small values of skewness and kurtosis. On the other hand, vowels and voiced consonants lead to a non-Gaussian distribution. Voiced and unvoiced phones are related with their skewness and kurtosis values. It is empirically shown that higher order cumulants are likely to be a feature in describing Turkish phones.
  • Conference Object
    Naturalness Analysis of the Speech Synthesized by a Tts Card
    (Ieee, 2016) Tora, Hakan; Uslu, Baran
    It is known that the performance of a developed text-to-speech (TTS) synthesis system is assessed by subjective tests. These assessments are usually based on the intelligibility and naturalness of the synthesized speech. In this study, an investigation on relating these subjective test results, thus the naturalness of the synthesized speech, to which acoustic features is accomplished. Consequently the features which will increase the performance while synthesizing the speech are determined. Our work is focused especially on the pitch frequency and energy parameters.
  • Conference Object
    The Usability Study for the Personal Health Record Systems
    (Ieee, 2015) Gokay, Gonca; Ercil, Yavuz; Tokdemir, Gul; Cagiltay, Nergiz; Aykac, Y. Evren
    With the emergence of new technologies, there is an increasing number of studies to improve healthcare delivery quality and health services. The studies have shown that the focus should be on integrated, sharable and personalized healthcare solutions which requires usage of patient data as much as possible for fast and correct diagnosis and care. Hence, data related to people when they are healthy and when they are sick become very critical for which many projects have been initiated to increase awareness of people about the importance of data collection all over the world and in our country as well. This requires more active role of the citizens in tracking their healthcare data. In this study, Microsoft Health Vault system that is used for storage of personal health records, has been analyzed in terms of its usability characteristics and the results have been discussed.
  • Conference Object
    Design, Analysis and Manufacturing of Dielectric Rod Added Conical Rom Antennas
    (Ieee, 2016) Avcioglu, Esra; Özaslan, Alper; Caliskan, Fatma
    In this study, ANSYS HFSS (High Frequency Structural Simulator) software had been used. By using this software, dielectric rod added conical horn antennas with various shapes and dimensions had been designed and analyzed. 5 (five) distinct antennas designed and their gains and return losses had been observed to evaluate the effects of the changes. From the results of these comparisons, the proper antenna type was selected and it was manufactured.
  • Conference Object
    Citation - WoS: 2
    New Wavelet-Based Features for the Recognition of Jittered and Stagger Pri Modulation Types
    (Ieee, 2015) Gencol, Kenan; Kara, Ali; At, Nuray
    In dense electronic warfare environments, numerous emitters can be active simultaneously and an interleaved stream of pulses in natural time of arrival order is received by the Electronic Support Measures (ESM) receiver. It is the task of the ESM system to de-interleave this mixed pulse sequence and thus to identify the surrounding threatening emitters. In this processing, pulse repetition interval (PRI) modulation recognition has a significant role due to the fact that it can reveal the hidden patterns inside pulse repetition intervals and thus help identify the emission source and its functional purpose. In this paper, we propose new wavelet-based features for the recognition of jittered and stagger PRI modulation types. The recognition of these types are heavily based on histogram features. Experimental results show that the proposed feature set have very high recognition rates and outperform histogram based methods.
  • Conference Object
    Citation - WoS: 1
    THE USE OF CUMULANTS FOR VOICED-UNVOICED SEGMENTS IDENTIFICATION IN SPEECH SIGNALS
    (Ieee, 2014) Uslu, Baran; Tora, Hakan
    In this study, voiced-unvoiced classification performance of Turkish sounds using skewness and kurtosis is examined. The analyses show that higher order cumulants can be employed as a feature in voiced-unvoiced classification that is vital in speech processing applications. Furthermore, it has been shown that cumulants are also useful for identifying voiced and unvoiced segments in noisy speech signals.
  • Conference Object
    Citation - WoS: 6
    Bar Code Localization in Wavelet Domain by Using Binary Morphology
    (Ieee, 2004) Öktem, RE
    In this paper, a wavelet transform based bar code localization algorithm is proposed. The algorithm is designed to enable fast and memory efficient application for automatic bar code recognition systems that are used in big manufacturing and distribution units. The region of interest areas are kept and other regions are discarded by applying binary morphology on wavelet transform coefficients.