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Bulunan: 18 Adet 0.082 sn
Dergi Adı : 2017 25th Signal Pro ... ✕
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Konu Başlıkları [72]

Modeling of three-axis gimbal system on unmanned air vehicle (UAV) under external disturbances [Insansiz Hava Araci Üzerinde Bulunan 3 Eksenli Yalpa Sisteminin Diş Bozucu Altinda Modellenmesi]

Altan, Aytaç | Hacıoğlu, Rıfat

This study focuses on the modelling of 3 axis gimbal system with the RRR joint structure on the Unmanned Aerial Vehicle (UAV), which is autonomously moving for the target tracking, based on experimental input (motor velocities) and output (end effector position) data. The fact that UAVs move in a certain direction and that the camera on the end effector of the gimbal system on it is adhere to the correct target attracts many researchers. The transfer function of the 3 axis gimbal system is obtained by linearly structured OE-Output Error model using experimentally obtained data under different ...Daha fazlası

Konferans Nesnesi 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 727 Görüntülenme

Effects of subthreshold excitation characteristics on vibrational resonance in weighted scale-free network

Ağaoğlu, Şükrüye Nihal | Özer, Mahmut | Çalım, Ali | Uzuntarla, Muhammet

In this paper, the phenomena of Vibrational Resonance is investigated in an excitable system which consists of FitzHugh-Nagumo neurons with electrical coupling. Weak signal detection performance of excitable system is examined in scale-free network (unweighted or weighted) topology. The simulation results show that; weighting the scale-free network, average connectivity degree, amplitude and frequency of weak signal play an active role to determine the data carrying performance of neurons based on Vibrational Resonance. It is determined that, the amount of required energy for creating resonanc ...Daha fazlası

Bildiri 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 1183 Görüntülenme

Prediction of wind speed with non-linear autoregressive (NAR) neural networks [Rüzgâr Hizinin Dogrusal Olmayan Otoregresif Sinir Aglari ile Tahmini]

Karasu, Seçkin | Altan, Aytaç | Saraç, Zehra | Hacıoğlu, Rıfat

In this study, the wind speed prediction model is created that gives a minimum error for different hidden layer neuron numbers and delay step numbers. Using the one-minute time series, the prediction of the next wind speed is performed with the NAR neural network model. The predicted values of wind speed obtained are compared with predicted values of wind speed obtained with filter methods. For different window functions and lengths, wind speed prediction is made using filters with different weight coefficients. For the number of hidden layer neurons is 14 and the number of delay steps is 10, ...Daha fazlası

Bildiri 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 736 Görüntülenme

Ultrasonic signal delay determination for distance estimation in underwater space [Sualti Uzaylarda Mesafe Kestirimi İçin Ultrasonik İşaret Gecikmesinin Belirlenmesi]

Onur, Tuğba Özge | Hacıoğlu, Rıfat

Reverberation and multipath propagation afîect the accuracy of time of flight (TOF) estimation in confined underwater medium. In this paper, time delay has been estimated by obtaining the transmitted signal and first echo signal from measured signal acquised by using a wideband transducer with 5 MHz central frequency. Cross-correlation (CC) and generalized cross-correlation (GCC) methods have been applied to the obtained signals and their performances have been compared. The results show that GCC method has better performance for time delay estimation in confined underwater medium where multip ...Daha fazlası

Bildiri 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 663 Görüntülenme

Effect of linear and non-linear measurements of heart rate variability in prediction of PAF attack

Narin, Ali | Özer, Mahmut | İşler, Yalçın

Paroxysmal Atrial Fibrillation (PAF) is a very common rhythm disorder that causes rapid and irregular impulses in the heart. In this study, it is aimed to determine whether patients can be warned before PAF events. 30-minute HRV data used in this study. Each piece of data was divided into 10 pieces of 5-minute parts. Time domain measurements from linear measurements of HRV and Poincare measurements from nonlinear measurements of HRV were used for each segment. Detecting performances were measured for each segment using k-nearest neighbor classifier. Particularly linear measurements have been s ...Daha fazlası

Bildiri 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 815 Görüntülenme

Simulation of Parkinsonian Basal nuclei with network motifs

Çalım, Ali | Özer, Mahmut | Uzuntarla, Muhammet

Nowadays, neurodegenerative diseases which affect human life quite negatively with motor, cognitive and psychiatric disorders are becoming widespread. One of the most common neurodegenerative disorder is Parkinson's disease. Recent electrophysiological experiments have shown that Basal Ganglia, a special region in the midbrain, is related to Parkinsonism. Beta frequency oscillations, which are important symptoms of Parkinson's disease, emerge intensively in Globus Pallidus and Subtalamus nuclei. In this study, anatomical connections of Globus Pallidus and Subtalamus are constructed computation ...Daha fazlası

Bildiri 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 1000 Görüntülenme

Detection of diabetic retinopathy disease from Video-Oculography (VOG) signals by artificial neural networks

Kaya, Ceren | Erkaymaz, Okan | Ayar, Orhan | Özer, Mahmut

25th Signal Processing and Communications Applications Conference, SIU 2017 -- 15 May 2017 through 18 May 2017 -- -- 128703

Bildiri 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 1622 Görüntülenme

Effects of synaptic time delay on vibrational resonance in neuronal networks

Ağaoğlu, Şükrüye Nihal | Özer, Mahmut | Çalım, Ali | Uzuntarla, Muhammet

In the phenomenon of vibrational resonance, the excitable system is under the influence of two periodic forces: a low-frequency (signal), a high-frequency (carrier). In this study, the effects of synaptic time delay on the vibrational resonance were investigated in two coupled FitzHugh-Nagumo neurons with electrical or chemical coupling. It is seen that, for both types of coupling by appropriate choice of synaptic time delay can be had a curative effect to transmission between two neurons at certain values of synaptic conductivity. © 2017 IEEE.

Bildiri 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 1218 Görüntülenme

Land use and cover classification of Sentinel-IA SAR imagery: A case study of Istanbul [Sentinel-1A SAR Görüntüsü ile Arazi Örtüsü ve Kullanimi Siniflandirmasi: Istanbul Örnegi]

Ustuner M. | Sanli F.B. | Bilgin G. | Abdikan S.

In this study, Sentinel-1A SAR imagery for land use/cover classification and its impacts on classification algorithms were addressed. Sentinel-1A imagery has dual polarization (VV and VH) and freely available from ESA. Istanbul was selected as the study region. After the pre-processing steps including the applying the precise orbit file, calibration, multilooking, speckle filtering and terrain correction, the imagery was classified as the following step. Three classification algorithms (SVM, RF and K-NN) were implemented and the impacts of additional bands (VV-VH, VV+VH etc.) were investigated ...Daha fazlası

Konferans Nesnesi 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 515 Görüntülenme

Combining Landsat and ALOS data for land cover mapping [Landsat ve ALOS Verilerini Kullanarak Arazi Örtüsü Haritasinin Oluşturulmasi]

Abdikan S. | Ustuner M. | Sanli F.B. | Bilgin G.

In this study, L-band ALOS PALSAR radar satellite image and Landsat TM optical satellite image were used to investigate the contribution of radar satellite image to optical satellite image for land cover mapping. Dual-polarimetric data of ALOS satellite and also normalized difference vegetation index (NDVl) generated from Landsat image were used for the analysis. In addition, different classification techniques were taken into consideration and forest dominated land cover maps were produced and the results were compared. Random Forest (RF), k-Nearest Neighbors (k-NN) and Support Vector Machine ...Daha fazlası

Konferans Nesnesi 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 558 Görüntülenme

Investigation of the effect of interpolation on noisy images with filtering methods [Gürültülü görüntü üzerinde interpolasyon etkisinin filtre yöntemleri ile incelenmesi]

Tanyeri U. | Incetas M.O. | Aydemir Z.

Interpolation techniques are used to obtain values that are unknown from known values in functions whose variation is within a certain range. Image processing methods use the same approaches when enlarging and reducing the image. However, some corruptions can be seen in the result image. Likewise, there are degradations due to environmental factors or sensors in the process of acquiring or moving images. This study investigates the filtering performance in interpolated noisy images where both states are active and discusses the situation in interpolated distorted pictures. © 2017 IEEE.

Konferans Nesnesi 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 290 Görüntülenme

The fast optimization of digital holography system [Sayisal Holografi Sisteminin Hizli Optimizasyonu]

Kaya G.U. | Sarac Z.

In digital holography applications, the position of the object, which is in the system, substantially affects the quality and clarity of three dimensional reconstructed image obtained from hologram. Therefore, obtaining a good three dimensional image by locating the image to be reconstructed in the correct position in the system, can sometimes take a long time. The usage of artificial intelligence algorithms instead of capturing the best images by recording the image several times and reduction of this time would be wise. For the first time in this study by using the classification method appr ...Daha fazlası

Konferans Nesnesi 2017 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 354 Görüntülenme
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