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Koleksiyon [16]
Tam Metin [2]
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Konu Başlıkları [20]
Yayıncı [1]
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Dergi Adı [20]
Cell Master: A Versatile and User-Friendly Educational Software for Simulation of Neuronal Dynamics [Cell Master: Nöronal Dinamiklerin Simülasyonu için Çok Yönlü ve Kullanici Dostu Bir Egitim Yazilimi]

Ozcan Z. | Kayikçioglu I. | Yildirim O. | Köse C. | Kayikçioglu T.

Conference Object | 2018 | 2018 Medical Technologies National Congress, TIPTEKNO 2018

In this study, A user-friendly, versatile and easily accessible educational software design was done by using NEURON hoc programming in order to investigate the dynamics, biophysical properties of nerve cells and their responses to various stimulation. With the help of interfaces which prepared for users to be assisted visually, it is aimed to be able to easily perform almost any application desired. This software allows users to perform their simulations without the need to write any code. Considering the features given in detail in the study, it has been suggested to use the software in neuroscience education. © 2018 IEEE.

Error analysis of threshold based three-hop device to device (D2D) communication systems [Eşik Deger Tabanli Üç-Atlamali Cihazdan-Cihaza Iletişim Sistemlerinin Hata Analizi]

Cakar E. | Kara F. | Kaya H.

Conference Object | 2019 | 27th Signal Processing and Communications Applications Conference, SIU 2019

In this paper, end to end average bit error rate (BER) for three-hop cooperative communication systems with a decode-and-forward (DF) relay is derived in the closed-form in the presence of error propagation. The derived end-to-end BER expression is verified via computer simulations. It is shown that the threshold selection for the relays has dominant effect on the error performance of the system. In this paper, we multi-hop communication between base station and cell-edge users to achieve ultra-wide coverage which is one of the important requirements for 5G and beyond. © 2019 IEEE.

Wristband design to support blind people [Görme Engellilere Yardimci Bileklik Tasarimi]

Uzun R. | Yaman G.K. | Tekkanat A. | Isler Y.

Conference Object | 2017 | 2017 Medical Technologies National Conference, TIPTEKNO 20172017-January , pp.1 - 4

In this study, it was implemented a wristband design which provides distance measurements to assist blind people. The obstacles were detected by the help of ultrasonic sensors connected to an Arduino microcontroller board. A design that can be adapted to different usage areas (indoor or outdoor) and various stimulus types (vibration only, sound only, both together), is produced, which concerns user needs. The designed system was successfully tested by a healthy individual. As a result, a design was achieved, which is open to be improved by adding the house plan and furniture locations in near future. © 2017 IEEE.

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.

Conference Object | 2017 | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 , pp.1 - 4

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. Results demonstrated that highest clas . . .sification accuracy of this study was obtained by SVM classification with the original bands (VV and VH) of Sentinel-1A imagery. Moreover, it was concluded that additional bands had different impacts on each classifier within accuracy. © 2017 IEEE Daha fazlası Daha az

An assessment of urban area extraction using ALOS-2 data

Abdikan S. | Bayik C. | Sanli F.B. | Ustuner M.

Conference Object | 2019 | Proceedings of 9th International Conference on Recent Advances in Space Technologies, RAST 2019 , pp.403 - 406

Urbanization has a dynamic structure especially in megacities and therefore rapid detection of the urban is vital for sustainable management of the city. In this work, we apply a multi-source feature data approach to investigate the urban area of Istanbul, Turkey which is a megacity with an approximate 15 million inhabitant, and under strong both anthropogenic and natural pressures. In order to analyse and compare the spatial pattern of the urban footprint, different techniques are applied. Speckle divergence, backscatter and repeat pass interferometric coherence values are considered for the analysis. To this aim, L-band HH and HV . . .polarized ALOS-2 Synthetic Aperture Radar (SAR) data were acquired from Japan Space Exploration Agency's (JAXA). Pixel based Random Forest Classification method was used for the urban mapping. During the classification, different scenarios have been applied using speckle divergence, backscatter and coherence information. Overall, user and producer accuracies were calculated from the error matrix. While comparing HH and HV polarimetry, in each scenario HH provided much higher accuracies than HV results. Speckle divergence and backscatter values yielded similar accuracies which is around 88% for urban class. However, coherence gave approximately 69% while it is classified individually. The contribution of coherence was extracted while coherence was stacked with speckle divergence, and the result was improved to 91%. The urban areas was extracted with a maximum accuracy of maximum 93% while all information was combined. The preliminary results allow us to obtain a comprehensive image of urban structure, and indicate that the results may reference address for further analysis of multi-temporal SAR data over large and complicated mega cities. © 2019 IEEE Daha fazlası Daha az

Occupancy detection from temperature, humidity, light, CO2 and humidity ratio measurements using machine learning techniques [Makine Ögrenmesi Teknikleri ile Sicaklik, Nem, Aydinlik Seviyesi, CO2 ve Nem Orani Ölçümlerinden Varlik Tespiti]

Palabas T. | Eroglu K.

Conference Object | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

Order to save energy and to use energy resources efficiently, automatic occupancy determination based on sensor information is performed and energy is adjusted according to the demand in a closed area. In this study is used records consisting of T (temperature), H (humidity), L (light level), CO2 (carbon dioxide) and R (humidity ratio) sensor data. Occupancy analysis based on sensor data has been performed with REPTree (Reduced Error Pruning tree), NB (Naive Bayes), SVM (Support Vector Machine) and KNN (K Nearest Neighbor) classification algorithms. The highest classification success (97.98%) was obtained with the REPTree classifica . . .tion algorithm. Then the importance of the attributes is determined by the CFS (Correlation-based Feature Selection) algorithm to be taken into account in reducing costs in the data collection step and the effect of the attributes on the classification performance is examined. Finally, ensemble algorithms Adaboost, Bagging, RandomSubSpace are used to increase classification success and achieve more stable results. The performance evaluation criteria are shown that the ensemble algorithms improve the classification success. The highest classification success (98.28%) was obtained by using the Adaboost community algorithm together with the ADTree classifier. According to the sensor values in the dataset, the use of office room was determined with high success rate. © 2018 IEEE Daha fazlası Daha az

Similarity based anisotropic diffusion filter [Benzesime dayali Yön Bagimli Yayinim Filtresi]

Tanyeri U. | Incetas M.O. | Demirci R.

Conference Object | 2016 | 2016 24th Signal Processing and Communication Application Conference, SIU 2016 - Proceedings , pp.1401 - 1404

Different filter methods to reduce noises occurred during image capture have been developed. One of the most effective image filters is diffusion filter. However, the major drawback of conventional diffusion filter is user-dependent. While noises are reduced with conductance coefficient arbitrarily selected, edge pixels are perceived such as noise. In this study, a novel anisotropic diffusion filter using similarity values obtained with the distance of each pixel to its neighbors has been proposed. Initially, similarity values of all image pixels are computed, and then they are used as conductance coefficients in diffusion filter. T . . .he mentioned value above is user dependent for conventional diffusion and it is constant for all pixels. On the other hand, it is made adaptive and eliminated user intervention with suggested approach. Developed method has been tested with different noise variances of images and experimental results have been compared with conventional diffusion filter. © 2016 IEEE Daha fazlası Daha az

Performance analysis of fuzzy logic controllers having Mamdani and Takagi-Sugeno inference methods by using unique software and toolbox [Mamdani ve Takagi-Sugeno Çikarim Yöntemlerine Sahip Bulanik Mantik Denetleyicilerin Özgün Yazilim ve Araç Kutusu Performans Analizi]

Unsal S. | Aliskan I.

Conference Object | 2017 | 2016 National Conference on Electrical, Electronics and Biomedical Engineering, ELECO 2016 , pp.237 - 241

Fuzzy logic controllers are structurally consisted of fuzzification, rule based inference mechanism and defuzzification units. Membership functions and inference methods are important factors that directly effect the performance of controller. In the literature, there are several membership functions and inference methods in different structures. In the performed study, speed control of permanent magnet synchronous motor has been made with fuzzy logic controllers having Mamdani and Takagi-Sugeno inference methods. In the studies, performances of the fuzzy logic controllers that are realized by using unique softwares and toolboxes ha . . .ve been analyzed under different operating conditions. When the obtained results have been evaluated, It has been seen that designed controllers provide consistent results with each other. © 2016 The Chamber of Turkish Electrical Engineers Daha fazlası Daha az

Online dead body detection experiment with an unmanned underwater vehicle [Bir insansiz sualti araci ile çevirimiçi ceset tanilama deneyi]

Berik M. | Kartal S.K.

Conference Object | 2018 | 26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 , pp.1 - 4

In this study, real-time online body detection under water was conducted using an unmanned underwater observation tool. According to the underwater position of the vehicle, data from the vehicle camera is provided to identify different body parts of a body in a real-time video stream. Here we present an approach for underwater human body detection based on the use of highly educated classifiers. The algorithm's performance in real time video shooting of the car is optimized to reduce the false positive rate by aiming to identify a corpse part of each picture frame. According to the results obtained, it was ensured that the corpse pa . . .rts were successfully detected under changing conditions with incorrect positive perception. Algorithms were developed using the Pyhton program. © 2018 IEEE Daha fazlası Daha az

Spatial multiple access (SMA): Enhancing performances of MIMO-NOMA systems

Kara F. | Kaya H.

Conference Object | 2019 | 2019 42nd International Conference on Telecommunications and Signal Processing, TSP 2019 , pp.466 - 471

The error performance of the Non-Orthogonal Multiple Access (NOMA) technique suffers from inter-user interference (IUI) although it is a promising technique for future wireless systems in terms of the achievable sum rate. Hence, a multiple access technique design with limited IUI and competitive to NOMA in terms of spectral efficiency is essential. In this paper, we consider so-called spatial multiple access (SMA) which is based on applying the principle of spatial modulation (SM) through the different users' data streams, as a strong alternative to multiple-input and multiple-output (MIMO)-NOMA systems. The analytical expressions o . . .f bit error probability (BEP), ergodic sum rate and outage probability are derived for the SMA. The derivations are validated via computer simulations. In addition, the comparison of the SMA system with NOMA is presented. The results reveal that SMA outperforms NOMA in terms of the all performance metrics (i.e., bit error rate (BER), outage probability and ergodic sum rate) besides it provides low implementation complexity. © 2019 IEEE Daha fazlası Daha az

Classification of power quality disturbances with S-transform and artificial neural networks method [S-Dönüşümü ve Yapay Sinir Aglari Yöntemi ile Gç Kalitesi Bozulmalarinin Siniflandirilmasi]

Karasu S. | Sarac Z.

Conference Object | 2017 | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 , pp.466 - 471

In this study, classification of 11 different Power Quality (PQ) disturbances with Artificial Neural Networks (ANN) has been done by using the attributes obtained with S-Transform. It was aimed to achieve accurate and high classification performance in noisy environment by using the least number of attributes representing PQ disturbances. The most suitable ones from the attributes were selected by Sequential Forward Selection (SFS) method. The performance of models with different hidden layer neuron numbers tested at different noise levels (40 dB, 30 dB and 20 dB) by using the selected attributes. In this study, it was found that fo . . .r the most appropriate number of attributes and optimal model parameters, performance in noisy environment (20 dB) and overall performance were 99.0%. © 2017 IEEE Daha fazlası Daha az

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.

Conference Object | 2017 | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 , pp.466 - 471

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 Machines (SVM) approaches were applied as image . . . classification techniques. While the best result among the methods is DVM, the data set in which combined data are used gives the best general accuracy result. © 2017 IEEE Daha fazlası Daha az

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