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Artificial Bee Colony algorithm, inspired by the foraging behavior of real honey bees, is one of the most important swarm intelligence based optimization algorithms. Like other population based evolutionary computation techniques, Artificial Bee Colony algorithm is suitable for parallelization on distributed architectures. In this paper, we presented a new emigrant creation strategy that is being distributed between subcolonies running simultaneously on the independent compute nodes. The running times and objective function values obtained by the parallelized Artificial Bee Colony algorithm with the proposed model on different number of compute nodes are compared with the sequential counterpart of the algorithm and it is seen that convergence performance of the parallelized Artificial Bee Colony algorithm is significantly improved with the proposed emigrant creation strategy.

The effect of the unmodeled dynamics and unknown disturbances prevent the accurate control of the real-time systems. The designed controllers must undertake the effect of these undesired uncertainties. In this paper, adaptive uncertainty modeling based model predictive controller is proposed for the control of uncertain linear systems. The uncertainty modeling structure uses an artificial neural network with adaptive learning rate for fast approximation. The stability of the proposed adaptive uncertainty modeling based model predictive control (UMPC) is shown using Lyapunov candidate function. Conventional MPC and proposed UMPC are applied to the control of a real-time DC/DC buck power converter. The conventional MPC cannot accurately control the DC/DC converter due to the unknown parameters and unmodeled dynamics. However, the proposed UMPC controller can accurately control the system with modeling the uncertainties in controller dynamics. The proposed controller is promising to control uncertain systems in future applications.

24th Signal Processing and Communication Application Conference (SIU) (2016 : Zonguldak, Turkey ), In this paper, we presented a novel shape recognition framework based on medial axis graph. After extracting medial axis graph of a shape, we constructed a multi-dimensional distribution by calculating distances of each branch node to all other branch nodes in the graph. Then similarity rates between these distributions is found by using a transportation-based distance function. Finally, we compared our results with results of similar works conducted in the past., Bu bildiride, orta eksen çizgeleri (medial axis graph) kullanılarak şekil tanıma alanında yeni bir yaklaşım sunulmaktadır. İskeletleri çıkartılan şekillerin çizgelerinde, tüm kritik noktaların diger kritik noktalara olan en kısa yol uzaklığı hesaplanarak her bir şekil için çok boyutlu bir dagılım oluşturulmuştur. Önerilen şekil tanıma platformunda bu dagılımlar üzerinde taşıma tabanlı bir uzaklık fonksiyonu kullanılarak şekiller arasındaki benzerlik oranı bulunmuştur. Son olarak alınan sonuçlar daha önceden yapılmış benzer çalışmaların sonuçlarıyla karşılaştırılarak önerilen yaklaşımın başarımı gösterilmiştir.

In this paper, a new flickermeter, which uses lamp illumination as its input and can compute flicker according to the IEC flickermeter standard for any kind of lamp other than the incandescent lamp, is presented. According to the IEC Standard 61000-4-15, flicker is calculated from input voltage and based on the assumption that the input voltage feeds an incandescent lamp. In this study, a system measuring light has been developed and the illumination of three different types of bulbs, with the same input voltage, has been investigated. Based on the results, IEC flickermeter algorithm, which is designed for the incandescent lamp assumption, has been updated to compute flicker any kind of lamp and a new flickermeter system based on the IEC standard has been developed. The developed flickermeter has been tested with the test signals recommended in the IEC standard and it has been shown that the developed flickermeter can accurately compute flicker.

In this paper, a computationally efficient method is proposed for modeling the indoor visible light communications (VLC) channels using a non-sequential ray tracing technique. We created three dimensional realistic simulation environment to depict indoor scenarios specifying the geometry of the indoor environment, the objects inside, the reflection characteristics of the surface materials as well as the characteristics of the transmitter and receiver. We then compute the received optical power and the delay of direct/indirect rays which are used to obtain the channel impulse response (CIR). Finally, LMS (least mean squares) and RLS (recursive least squares) iterative channel equalization techniques which are wildly employed in traditional electrical wireless communications are tested at the receiver of the VLC system. Their convergence rates as well as impacts on the BER performances are investigated by determining the optimal control parameters of these algorithms. It is concluded that for the equalizer operating with its optimal parameters, the BER performances of the VLC systems are very sensitivie to the field of view (FOV) values.

In this paper, Discrete-wavelet transform (DWT) based algorithm are used for speech signal denoising. Both hard and soft thresholding are used for denoising. Analysis are done on noisy speech signal corrupted by AGWN(Additive gaussian white noise) noise. Simulation and results are performed by using SignalLab application which developed for this research. MSE and SNR is used to compare results. Qt/C++ IDE is used to develop the application. This application developed for not only analyzing speech signal, but also can be used in an embedded system or a real-time applications. According to the obtained results, DWT is a good method for speech denoising when parameters are selected correctly.

Rus-Japon Harbi’nin (1904-1905) II. Abdülhamid ve Osmanlı kamuoyu tarafından nasıl algılandığını ortaya koymak bu makalenin temel amacı olacaktır. Osmanlı sınırlarından bir hayli uzak bir bölgede cereyan etmiş olmasına rağmen Rus-Japon Harbine, başta II. Abdülhamid olmak üzere Osmanlı Yönetimi tarafından özel bir önem verilmiş ve bu savaş; askeri, diplomatik ve siyasî açıdan çok dikkatli bir şekilde takip edilmiştir. Özellikle Osmanlı Sultanının bu yakın takibi neticesi, ülke kamuoyu, hükümet ve basın da bu savaşa özel bir önem vermiştir. Bu özel önemin tesbiti ile bu savaşın sonuçlarının ekonomik ve siyasal hayatımıza etkilerinin belgelerle ortaya konması; 20. yüzyıl başlarında Osmanlının dünyaya bakışını ortaya koyması açısından da önemli olacaktır. II. Abdülhamid’in bu savaşla ilgili olarak Osmanlı kamuoyundan farklı düşündüğü ifade edilebilir. Osmanlı Kamuoyu savaşta Japonya'nın galip gelmesinin çok iyi olacağını düşünmektedirler. Çünkü Rusya Osmanlının tarihteki kadim düşmanlarından biridir. Bu “ezeli düşmanın” Osmanlıdan bir başka güce yenilmiş olması bile, halk nezdinde bir kazançtır ve sevinç vesilesidir. Ama Padişah için meselenin bu kadar basit olmadığı anlaşılmaktadır. Rusya’nın savaşta Japonya’ya yenilmesi halinde tüm dikkatini Aksa-yı Şarktan Balkanlara teksif edip Balkanları karıştıracağını II. Abdulhamid görebilmiştir., The main aim of the present paper is to present the perception of the Russian Japanese War (1904-1905) by Sultan Abdulhamid II and the Ottoman public. Although it took place far away from the Ottoman borders, the Russian- Japanese War was given special importance by Abdulhamid II and the Ottoman administration and was followed carefully for its militarily, diplomatic, and political aspects. Due to the close follow up by the Ottoman Sultan, the Ottoman public, government, and press gave special importance to this war. After the presentation of the special interest given to this war, its impact on our economic and political life will be documented; and this will be important to put forth the world view of the Ottomans at the beginning of the 20th century. It can be stated that Abdulhamid II was differing in his views from the Ottoman public opinion regarding this war. The Ottoman public believed that Japanese victory would be beneficial as Russia is one of the archenemies of the Ottomans throughout history. The defeat of the archenemy by another force than the Ottoman Empire was a reason of joy in the public. However, it seems that the matter was not that simple for the Sultan. Abdulhamid II could foresee that a defeated Russia by Japan would cause Russia to change its focus from the Far East to the Balkans and hence this would cause problems in the Balkans.

24th Signal Processing and Communication Application Conference (SIU) (2016 : Zonguldak, TURKEY), Critical Infrastructure Security had always been an issue. With the technological advancements, there has been a continuous inflow of novel methods for critical infrastructure security. In this paper, design, implementation, and field tests of a novel critical infrastructure security system based on wireless sensor networks is presented.

24th Signal Processing and Communication Application Conference (SIU) -- MAY 16-19, 2016 -- Zonguldak, TURKEY, WOS: 000391250900110, In this paper, 11 different power quality disturbances were automatically detected by using statistical features with wavelet transform and norm entropy techniques. The best of the created features were selected with forward selection algorithm. Performance of classification algorithms, Support Vector Machines (SVM), Multi Layer Perceptron (MLP), k Nearest Neighbor (KNN) and random subspace KNN (Sub-KNN) which is an ensemble method, were examined. Consequently, the best classification accuracy of 99.3% was achieved by using Sub-KNN and it was appeared that compared to other methods, this algorithm was more robust against the noise., IEEE, Bulent Ecevit Univ, Dept Elect & Elect Engn, Bulent Ecevit Univ, Dept Biomed Engn, Bulent Ecevit Univ, Dept Comp Engn

Date of Conference: 16-19 May 2016 Conference Name: IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016 In this paper, we offer and examine a new algorithm for sequential nonlinear regression problem. In this architecture, we use piecewise adaptive linear functions to find the nonlinear regression model sequentially. For more accurate and faster convergence, we combine a large class of piecewise linear functions. These piecewise linear functions are constructed by composing different adaptive linear functions, which are represented by the nodes of a lexicographical tree. With this tree structure, computational complexity of the algorithm is significantly reduced. To show the performance of the proposed algorithm, we present a simulation which is performed by using a well-known real data set.

research, Taşra teması, modern edebiyatta kendine dönük bir çerçeve içinde daha çok savunma mekanizması gibi algılanmıştır. İç göç sebebiyle taşra, şehre taşınırken geride kalan ve değişmeyen bir yer olarak düşünülmüştür. Ancak taşra da değişime uğramaya başlamış ve yeni bir algı içine oturmuştur. Türk öykücülüğünde taşra temasının yeni yazarlarda nasıl bir perspektif taşıdığını tespit ve çözümleme amacındaki bu yazıda, Mahir Ünsal Eriş'in Bangır Bangır Ferdi Çalıyor Evde, İsmail Özen'in Günler Ne Kadar Kısaldı, Mustafa Çiftçi'nin Bozkırda Altmışaltı adlı kitapları değerlendirilmiştir. Yeni öykücülerin taşrayı çocukluk ve ergenlik yıllarının saflığı içinde anlatması ile bugünün perspektifinde onda eski yaşantılarını bulamaması bu öykülerin esasını oluşturmaktadır. Taşranın yeni kalemlerde mekân ve ses imajları etrafında erken nostaljiye dönüştüğü görülmektedir., This paper aims to explore and analyze in what perspectives new authors reflect "the country" in Turkish Story. In this sense, Mahir Unsal Eris' Bangir Bangir Ferdi Caliyor Evde, Ismail Ozen's Gunler Ne Kadar Kisaldi, and Mustafa Ciftci's Bozkirda Altmisalti were analyzed. Moreover, the transformation of the connection of the country and globalization in to early nostalgia in new generations was examined in terms of place and sound images. The theme "country" was mainly perceived as a defense mechanism in an introvert frame in modern literature. Country was considered as a place that is left behind and did not change while moving to city due to internal migration. Yet, even country seems to chance and has a place in a new perspective. The essence of stories consists that new story writers mention country in the decency of adolescence years and that they cannot find their past years in today's perceptive.

In this paper, a new optical orthogonal frequency division multiplexing (OFDM) method is proposed for multiple-input multiple-output (MIMO) visible light communications (VLC) systems. In the new scheme, non-DC biased optical OFDM (NDC-OFDM) and optical spatial modulation (OSM) methods are combined to obtain a novel optical OFDM scheme which has a better error performance. The new scheme is named as non-DC biased optical spatial modulation OFDM (NDC-OSM-OFDM). It is shown via computer simulations that the proposed scheme achieves better bit error rate (BER) performance than DC-biased optical spatial modulation OFDM (OSM-OFDM-DC), asymmetrically clipped optical spatial modulation OFDM (OSM-OFDM-AC) and NDC-OFDM.

With rapid advances of powerful image processing softwares, it has become easier to commit a forgery by damaging originality of an image. Copy move forgery is one of the most widely used methods of image forgery. In this paper, a copy-move image forgery detection technique is proposed which use together LBP (Local Binary Pattern) and DCT (Discrete Cosine Transform). Firstly, we divide the image into overlapping blocks and then we convert each image block to LBP domain. We have derived the feature matrix of the image by applying DCT to the image blocks which is converted to LBP domain. We lexicographically sorted the feature matrix and after this step, similar image blocks are sequentially sorted. It is aimed that minimising the false positives and deriving of local features which is less sensitive to varying lighting conditions by applying DCT to the image blocks which is converted to LBP domain. Experimental results show that when used together LBP and DCT demonstrate the better results with fewer false positives according to individual usage in copy-move image forgery detection.

Compressed sensing theory shows that any signal which is defined as sparse in a given domain can be reconstructed using fewer linear projections instead of using all Nyquist-rate samples. In this paper, we investigate basis pursuit, matching pursuit, orthogonal matching pursuit and compressive sampling matching pursuit algorithms, which are basic compressed sensing based algorithms, and present performance curves in terms of mean squared error for various parameters including signal-to-noise ratio, sparsity and number of measurements with regard to mean squared error. In addition, accuracy of estimation performances has been supported with theoretical lower bounds (Cramer-Rao lower bound and deterministic lower mean squared error). Considering estimation performances, compressive sampling matching pursuit yields the best results unless the signal has a non-sparse structure.

In Iran, an arid and semiarid country, the distribution of precipitation is irregular and uneven, making the replenishment of reservoirs difficult during periods of scant rainfall. In this paper, a method has been devised to make available the maximum amount of water for irrigation, drinking, and the flow regime of Sofi Creek. The optimal performance of the Eleviyan Dam was evaluated based on reservoir inflows. Before the construction of the dam, 21 years of flow data (October 1973 to September 1994) was measured, and possible low flows were calculated. In this study, 2 scenarios are considered; the first scenario is based on the assumption of an initially full reservoir, and the second is based on the assumption of full dead volume in addition to drinking and utility water. In the first scenario, system shortages were observed in September at all confidence levels and in August at 80% and 90% confidence levels. In the second scenario, considerable shortages were observed in September at all levels, and in August with a 70%-90% and July with a 90% confidence level.

Numerous agricultural applications require very accurate guidance of farm vehicles. Current works have established that RTK GPS was a very suitable sensor in order to meet the expected precision: several control laws have been designed for vehicles equipped with such a sensor, and satisfactory results have been achieved as long as vehicles do not slide. Nevertheless, in actual working conditions (sloping fields, entering into curves on a wet land, etc.), sliding inevitably occurs. In this paper, we design a nonlinear adaptive control law in order to preserve guidance precision in presence of sliding: realtime sliding estimation is used to correct vehicle evolution. Field experiments, demonstrating the capabilities of that control scheme are reported and discussed.