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Toplam kayıt 87, listelenen: 21-40
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Detection of low probability of intercept signals in low SNR using multichannel sensor arrays [Tespit olasiligi düşük sinyallerin düşük SNR altinda çok-kanalli sensör dizileri ile tespiti]
(IEEE Computer Society, 2014)In this paper, a method is proposed for the detection of low probability of intercept, LPI signals in high noise without prior knowledge and assumption using spatially distributed multichannel wideband sensor array. The ... -
Determinaton of the Number of Vehicles Using Unmanned Aerial Vehicles
(IEEE, 2014)This paper includes an application of the four rotor unmanned aerial vehicle names as quadrocopter. This application is determination of the traffic density depending on the number of vehicle in the certain area. For this ... -
Determinaton of the number of vehicles using unmanned aerial vehicles [Insansiz hava araçlari kullanilarak araç sayisi tespiti]
(IEEE Computer Society, 2014)This paper includes an application of the four rotor unmanned aerial vehicle names as quadrocopter. This application is determination of the traffic density depending on the number of vehicle in the certain area. For this ... -
Discrimination of faulty compressors and healthy one using Kohonen maps [Kohonen hari·ta kullanarak hatali ve saglikli kompresörleri·n ayriştirilmasi]
(2011)Kohonen's Self Organizing Map (SOM) is a very usable method for the classification problems. In this work SOM is used to classify the possible faults of Hermetic Compressors which are used in the refrigerators. In refrigerators ... -
Effect of distance metrics on positioning accuracy [Uzaklik metriklerinin konumlama başarimina etkisi]
(Institute of Electrical and Electronics Engineers Inc., 2018)RF fingerprinting based positioning systems have come to the forefront among indoor positioning systems as they provide both high precision and can use existing infrastructure like Wi-Fi access points effectively. In this ... -
Endpoint detection of isolated words using center of gravity method
(IEEE, 2007)In this study, center of gravity (COG) method is proposed to detect endpoints of isolated words. Common vector approach (CVA) is employed to evaluate the effect of the proposed method in the isolated word recognition. Since ... -
Endpoint detection of isolated words using center of gravity method [Agirlik merkezi yöntemini kullanarak yalitik kelimelerin uç noktalarinin belirlenmesi]
(2007)In this study, center of gravity (COG) method is proposed to detect endpoints of isolated words. Common vector approach (CVA) is employed to evaluate the effect of the proposed method in the isolated word recognition. Since ... -
Expression recognition with appearance-based features of facial landmarks [Yuz nirengi noktalarinin görünüş öznitelikleri ile ifade tanima]
(Institute of Electrical and Electronics Engineers Inc., 2018)The human face is the subject of many studies in the field of artificial vision because of the high amount of semantic information. The most common of the studies carried out in this area are face analysis and expression. ... -
An eye-glasses-like wearable eye gaze tracking system [Gözlük tabanli bir göz hareket takip sistemi]
(2008)In this study, a new eye tracking system that works by wearing an eye-glasses-like apparatus with attached sensors, is introduced. Due to the working principle of the system, the device is called the Eye Touch system. The ... -
Facial expression recognition with FHOG features [FHOG öznitelikleri ile yüz ifadesi tanima]
(Institute of Electrical and Electronics Engineers Inc., 2018)Facial expression recognition is a popular computer vision subject that has many applications such as humancomputer interaction and behavior analysis. As for many computer vision problems, lighting and contrast differences ... -
A Fast Method for the Common Vector Approach
(IEEE, 2009)In this paper a new method is proposed to perform the Common Vector Approach(CVA). While CVA performs the classification with respect to the distance between vectors, the new method performs the classification with respect ... -
A fast method for the common vector approach [Ortak vektör yaklaşimi i·çin hizli bir yöntem]
(2009)In this paper a new method is proposed to perform the Common Vector Approach(CVA). While CVA performs the classification with respect to the distance between vectors, the new method performs the classification with respect ... -
Gender recognition with uniform local binary patterns [Tekduze yerel ikili örüntuler ile cinsiyet tanima]
(Institute of Electrical and Electronics Engineers Inc., 2018)Automatic gender recognition has been applied in many areas such as analyzing the structure of demographic social environments. In this paper we present a gender recognition algorithm based on uniform local binary pattern ... -
GERİLİM KIRPIŞMASININ HILBERT-HUANG DÖNÜŞÜMÜ İLE ANALİZİ
(2011)Hilbert Huang Dönüşümü (HHT) Huang tarafından önerilen, Flandrin ve ekibi tarafından geliştirilen lineer ve durağan olmayan sinyallerin analizinde kullanılan yeni bir sinyal işleme yöntemidir. Bu çalışmada, güç ... -
GPS-based Antenna Tracking and Signal Beamforming System for Small UAV Platform
(IEEE, 2015)In this study GPS-based antenna tracking and signal beamforming system is considered to improve the data transmission quality, capacity and distance (range) of a small drone with ground station. The design phases and the ... -
GPS-based antenna tracking and signal beamforming system for small UAV platform [Küçük IRA Platformu Için GPS-tabanll Anten Izleme ve Sinyal Hüzme Sistemi]
(Institute of Electrical and Electronics Engineers Inc., 2015)In this study GPS-based antenna tracking and signal beamforming system is considered to improve the data transmission quality, capacity and distance (range) of a small drone with ground station. The design phases and the ... -
HEp-2 Cell Classification using a Deep Neural Network Trained for Natural Image Classification
(IEEE, 2016)Deep convolutional neural networks is a recently developed method that yields very successful results in image classification. Deep neural networks, which have a high number of parameters, require a large amount of data ... -
HEp-2 cell classification using a deep neural network trained for natural image classification [Dogal Imge Siniflandirmak için Egitilmis bir Derin Sinir Agi ile HEp-2 Hücresi Siniflandirilmasi]
(Institute of Electrical and Electronics Engineers Inc., 2016)Deep convolutional neural networks is a recently developed method that yields very successful results in image classification. Deep neural networks, which have a high number of parameters, require a large amount of data ... -
Improvements on isolated word recognition using FLDA [FLDA kullanarak ayrik kelime tanimada yapilan iyileştirmeler]
(2005)The purpose of this study is to increase the recognition rates of the isolated word using improved Fisher's Linear Discriminant Analysis (FLDA). Therefore, at first, unique subspace for each class is constructed by defining ... -
KISA DÖNEM KIRPIŞMA ŞİDDETİNİN HILBERT-HUANG DÖNÜŞÜMÜ İLE HESAPLANMASI
(2011)Bu makalede güç sistemlerinde kısa dönem kırpışma(flicker) şiddeti Pst’yi hesaplamak için Hilbert Huang dönüşümünün (HHT) kullanımına dayalı bir yaklaşım önerilmektedir. HHT lineer ve durağan olmayan sinyallerin analizinde ...