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Third-party logistics (3PL) services have seen significant growth in recent years as a result of playing a key role in supply chain management. The demand for 3PL service providers has increased as companies offer better service to their customers, lower costs and gain competitive advantage. This paper includes an application that will help determine the most important criteria in the selection and evaluation of 3PL service providers. The aim of the paper is to be able to determine the selection criteria of the 3PL service providers and the relationships between them, from the point of view of companies already using logistics services outsourcing. For this purpose, grey system theory and DEMATEL approach are integrated in order to describe uncertain and complex decisions with definite numerical values and determine the relations and importance levels between the criteria. The findings revealed interrelations between criteria and presented the most important criteria for 3PL provider selection. It is believed that the results of the paper will help the managers to propose a model that can be implemented with the selection criteria of the 3PL service provider., Üçüncü parti lojistik (3PL) hizmetlerinin, tedarik zinciri yönetiminde temel bir rol oynamasının sonucu olarak son yıllarda kayda değer bir büyüme yaşadığı görülmektedir. 3PL hizmet sağlayıcılarına yönelik talep, şirketlerin müşterine daha iyi hizmetleri sunmaları, maliyetleri düşürmeleri ve rekabet üstünlüğü elde etmeleri gibi avantajlar sağladığı için artış göstermektedir. Bu makalede, 3PL hizmet sağlayıcısı seçimi ve değerlendirilmesi sürecindeki en önemli kriterlerin belirlenmesine yardımcı olacak bir uygulamaya yer verilmiştir. Makalenin amacı, lojistik hizmetlerini zaten dış kaynak kullanan firmaların bakış açısıyla 3PL hizmet sağlayıcılarının seçim kriterlerini ve aralarındaki ilişkileri belirleyebilmektir. Bu amaç doğrultusunda belirsiz ve karmaşık kararları kesin sayısal değerler ile betimleyebilmek ve kriterler arasındaki ilişkileri ve önem düzeylerini tespit edebilmek için gri sistem teorisi ile DEMATEL yaklaşımı bütünleşik olarak ele alınmıştır. Bulgular, kriterler arasındaki karşılıklı ilişkileri ortaya koyarak 3PL hizmet sağlayıcısı seçimindeki en önemli kriterleri ortaya koymuştur. Makale sonuçlarının yöneticilere, 3PL hizmet sağlayıcısı seçim kriterlerinin belirlenmesinde uygulanabilecek bir model önerisiyle yardımcı olacağı düşünülmektedir.

Günümüzde teknoloji hızlı gelişmekte ve müşterilerin ürünlerden beklentileri artmaktadır. Bu nedenle müşteriisteklerinin ön plana çıkması ve sürekli değişmesi ürün tasarımını geçmişe göre daha önemli kılmaktadır. Yaygınolarak kullanılan çamaşır makinesini üreten firmalar pazar payına sahip olabilmeleri için müşteri isteklerini gözönünde bulundurmak zorundadır. Müşteri isteklerinden birisi de ergonomik kullanım kolaylığıdır. Bu çalışmadaergonomik bir çamaşır makinesi tasarımında müşteri isteklerine ve firma kapasitesine göre teknik özellikler üzerindeiyileştirme yapılması amaçlanmıştır. Bu çalışmada kalite fonksiyon yayılımı yöntemi ve bulanık çok amaçlı doğrusalprogramlama yaklaşımı ergonomik çamaşır makinesi tasarımı için önerilmiştir. Kalite fonksiyon yayılımı müşteriistekleri ve teknik özellikler arasındaki ilişkiyi belirleyebilmektedir. Bu sonuçlara göre ergonomik bir çamaşırmakinesi tasarımı için hangi teknik özelliğin daha önemli olduğu belirlenmiştir. Ancak bu sonuç sadece müşteriisteklerine göre belirlenmiştir. Firma kapasitesi ihmal edildiği için firmanın zaman ve maliyet açısından problemlerlekarşılaşması ve pazar rekabetinde geri kalması söz konusudur. Firma ergonomik bir çamaşır makinesi tasarlarkenmüşteri isteklerinin maksimize edilmesi, maliyetin düşürülmesi, zamanın minimize edilmesi gibi farklı amaçlarasahiptir. Bu çalışma bu problemi ortadan kaldırmak için müşteri istekleri ve firma kapasitesini birlikte inceleyenZimmermann ve hibrid yaklaşım olmak üzere iki bulanık çok amaçlı doğrusal programlama yaklaşımını önermiş veelde edilen sonuçları karşılaştırmıştır., Nowadays technology develops rapidly and the customer requirements (CRs) on product increase. Therefore, theCRs change continuously and are more important than past so that product design is more important than past. Firms,which manufacture the washing machines used commonly, must consider the CRs to have the market share. One ofthe CRs is ergonomic ease of use. This paper aims to improve on technical characteristics in an ergonomic washingmachine design according to the CRs and the capacity of the firm. This paper proposes an integrated approach, whichconsists of quality function deployment (QFD) method and fuzzy multi-objective linear programming (FMOLP)method, for an ergonomic washing machine design. QFD method defines the relation between the CRs and technicalcharacteristics. This result presents the importance degrees of technical characteristics for an ergonomic washingmachine design but this result is defined according to only the CRs. Firm can meet with some problems in terms oftime and cost due to neglecting of the capacity of the firm thus the firm can fall behind in market competitive. The firm considers different objectives such as maximizing the CRs, minimizing the cost and minimizing the time for anergonomic washing machine design. This paper proposes two FMOLP methods, which consist of Zimmermann andhybrid approaches, to overcome this drawback so that the obtained results are compared.

In this study, the Internet of things is defined and lightweight protocols that the devices can use to communicate with each other are specified, and message queue telemetry transport (MQTT) protocol, which is designed to be used for restricted devices, is detailed. In the scope of this paper, the studies about the authentication of the objects and the confidentiality of the data have been examined, some suggestions have been made against the identified security vulnerabilities. In the scope of this paper, as the test environment, Mosquitto, the server of the MQTT protocol, and MongoDB in order to store the data were installed. In the prepared test environment, the objects were communicated with each other via the MQTT protocol and identity verification and security vulnerabilities were tried to be detected.

Ombudsman, temelolarak tüm ülke boyunca etkili olan, vatandaş tabanlı kamusal bir şikâyetkurumu olarak anlaşılmaktadır. Günümüzde farklı uzmanlık alanlarına ayrılmışombudsmanlar ortaya çıkmıştır. Bunlardan biri de bölgesel veya yerel yönetimlerombudsmanıdır. Dünyanın farklıkıtalarından biri olan Avrupa’da da ombudsmanlık kurumları farklı devletdüzeylerinde kurulmuştur. Nitekim Avrupa’da ombudsmanlık kurumunun uygulamaalanı bulduğu yerlerden biri de Türkiye Cumhuriyeti’dir. Bu çalışmanınamacı, dünyanın farklı kıtalarına yayılım göstermiş bulunan ombudsmanlıkkurumunun bir Avrupa kıtası ülkesi olan Türkiye üzerinden genel hatlarıylaörneklenmesinin gerçekleştirilmesidir. Bu amaçla çalışmada, TürkiyeOmbudsmanlık Kurumu’na ilişkin yapısal-kurumsal ve işlevsel yönlerine yönelikbilgi verilmesi amaçlanmaktadır., Ombudsman, which basically effective throughout theentire country, are understood as a public complaints citizens basedorganization. Today, ombudsmen have emerged dedicated to different areas ofexpertise. One of these regional or local government ombudsman. In Europe, one of the world's continents wereestablished in different state-level ombudsman institution. Indeed, one of theplaces where the application of the ombudsman institution in Europe is theRepublic of Turkey.The purpose of this paper, ombudsman institution whoshowed the world's spread to different continents which is of the sampling iscarried out in Turkey in an Europe continent country. This paper aims toprovide information for structural-institutional and operational aspectsrelated to the ombudsman institutions in Turkey.

Date of Conference: 16-19 May 2016 Conference Name: IEEE 24th Signal Processing and Communications Applications Conference, SIU 2016 In this paper, we study multi-class classification of tweets, where we introduce highly efficient dimensionality reduction techniques suitable for online processing of high dimensional feature vectors generated from freely-worded text. As for the real life case study, we work on tweets in the Turkish language, however, our methods are generic and can be used for other languages as clearly explained in the paper. Since we work on a real life application and the tweets are freely worded, we introduce text correction, normalization and root finding algorithms. Although text processing and classification are highly important due to many applications such as emotion recognition, advertisement selection, etc., online classification and regression algorithms over text are limited due to need for high dimensional vectors to represent natural text inputs. We overcome such limitations by showing that randomized projections and piecewise linear models can be efficiently leveraged to significantly reduce the computational cost for feature vector extraction from the tweets. Hence, we can perform multi-class tweet classification and regression in real time. We demonstrate our results over tweets collected from a real life case study where the tweets are freely-worded, e.g., with emoticons, shortened words, special characters, etc., and are unstructured. We implement several well-known machine learning algorithms as well as novel regression methods and demonstrate that we can significantly reduce the computational complexity with insignificant change in the classification and regression performance.

Translation starts with a document in one language and ends with a document with the same meaning in another language. Technical communication entails designing and writing a document from scratch in one language. The answer to the question of "Which, of translation or writing, comes first?" seems relatively obvious - the document needs to be written before it can be translated. However, when looking at translation and technical communication as professions and examining how the professionals are trained, the answer is not quite as clear-cut. In the United States, translators and technical communicators have different qualifications, different skills - in particular different language skills - and have degrees in different fields. Only recently has there appeared a certain convergence between the professions. In Europe, and more specifically in France, the profession of technical communicator is quite recent, as are the corresponding academic programs. Many technical communicators came to the profession from translation. The convergence therefore is perceived as being far greater. The purpose of this paper is to launch a comparative study of the competences or skills of translators and technical communicators, based on the existing European Master's in Translation (EMT) list of competences for translators. The goal of this study would be to define the core skills for technical communicators, to examine to what extent they overlap with the competences of translators and ultimately, to establish a referential for training programs in technical communication., Çeviri, kaynak dilde bir belge ile başlar ve hedef dilde aynı anlama gelen bir başka belge olarak son bulur. Teknik iletişim, bir belgeyi sıfırdan tek bir dilde tasarlamayı ve yazmayı gerektirir. "Çeviri mi yazı mı daha önce gelir?" sorusunun cevabı ise nispeten açık görünmektedir – belgenin çevrilebilmesi için önce yazılması gerekmektedir. Ancak, çeviri ve teknik iletişime birer meslek olarak bakıldığında ve profesyonellerin nasıl yetiştirildiği incelendiğinde, cevap o kadar da net değildir. Amerika Birleşik Devletleri'nde çevirmenler ve teknik iletişimciler farklı niteliklere, farklı becerilere- özellikle farklı dil becerilerine - ve farklı alanlarda eğitimlere sahiptir. Ancak son zamanlarda bu iki alan arasında gözle görünür bir yakınlaşma olmuştur. Avrupa'da ve daha spesifik olarak Fransa'da, teknik iletişimci mesleği ve ilgili akademik programlar oldukça yenidir. Teknik iletişim alanındaki birçok kişi mesleğe çeviri alanından geçmiştir. Bu nedenle bu yakınlaşma çok daha büyük olarak algılanır. Bu makalenin amacı, çevirmenler için mevcut Avrupa Çeviride Yüksek Lisans (EMT) yeterlilik listesine dayalı olarak çevirmenlerin ve teknik iletişimcilerin yeterlilikleri veya becerileri hakkında karşılaştırmalı bir çalışma başlatmaktır. Bu çalışmanın amacı, teknik iletişimciler için temel becerileri tanımlamak, çevirmenlerin yetkinlikleri ile ne ölçüde örtüştüğünü incelemek ve nihayetinde teknik iletişim eğitim programları için bir referans oluşturmak olacaktır.

In load frequency control (LFC), it is essential totransmit measurements of control signals from the control center to plant sideand remote terminal units (RTU) to control center. Therefore, time delaysbecome inevitable due to the use of conventional communication channels. Thedynamic performance of LFC system would be degraded by these delays. This paper is dedicated to thedelay-dependent stability of the LFC of hybrid power generation subsystem. Thesystem studied includes wind turbine generator (WTG), photovoltaic system (PV),ultra-capacitor (UC) bank for energy storage, fuel cell (FC) system and dieselgenerator(DG). Delay margin is stated for the upper bound on the delay forstability of LFC system. An analytical method is used to compute delay margins.Delay margins are calculated for wide range of proportional-integral (PI)controller. Such results could be utilized to tune the PI controllers as toachieve a compromise between the dynamic performance and the delay margin. Ithas been determined in which intervals, the controller parameters of theproposed hybrid system can be selected while the system is in stable region.the results are presented in tables and graphs. Simulation study of theproposed system with Matlab / Simulink was performed. The results of thesimulation studies and the theoretical studies showed compatibility. Simulationstudies verify the effectiveness of the proposed method., Yük frekanskontrolü (LFC) de, kontrol sinyallerinin ölçümlerini kontrol merkezindenkontrol ünitesine ve uzak terminal ünitelerinden (RTU) kontrol merkezineiletmek esastır. Bu nedenle, geleneksel iletişim kanallarının kullanılmasınedeniyle zaman gecikmeleri kaçınılmaz hale geliyor. LFC sisteminin dinamikperformansı bu gecikmelerle azalır. Bu makale, yerel melez enerji üretim sisteminin LFC'sinin gecikmeye bağlıkararlılığını analiz etmektedir. Çalışılan sistem, rüzgar türbini jeneratörü(WTG), fotovoltaik sistem (PV), enerji depolama için ultra-kapasitör (UC)bankası, yakıt hücresi (FC) sistemi ve dizel jeneratör (DG) içerir. Buçalışmada, böyle bir sistemin modellemesi ve benzetimi yapılmıştır. Gecikmemarjı, LFC sisteminin kararlılık gecikmesinde üst sınırı belirtmektedir.Gecikme marjlarını hesaplamak için analitik bir yöntem kullanılmıştır. Gecikmemarjları, oransal- integral (PI) kontrolörün geniş bir aralığı içinhesaplanmıştır. Bu sonuçlar, PI kontrolör parametrelerini, sistemin dinamik performansıile gecikme marjı arasında dengeli bir seçim yapacak şekilde ayarlamak içinkullanılabilir. Önerilen hibrit sistemin kontrolör parametrelerinin kararlılıkçerçevesinde hangi aralıklarda seçile bilineceği tespit edilerek, tablo vegrafik halinde sunulmuştur. Önerilen sistemin Matlab/Simulink ile bezetimçalışması gerçekleştirilmiştir. Simülasyon çalışmaları ile teorik çalışmaların sonuçları uyumlulukgöstermiştir. Simülasyon çalışmaları önerilen yöntemin etkinliğinidoğrulamaktadır.

URL: http://sefad.selcuk.edu.tr/sefad/article/view/724 DOI: 10.21497/sefad.328641, Kökeni, Türkiye Selçukluları zamanına kadar giden ahilik, Osmanlı’da da devam etmiş ve tarikat gibi örgütlenmiş bir meslek birliğidir. Ahiliğin bir çeşit yönetmeliği olan fütüvvetnameler ise birlik üyelerine yardımlaşmayı, vermeyi kısaca örnek insan olmayı öğütler. Potlaç ise Kuzey Amerika Kızılderili toplumlarında değiş-tokuş şeklinde gerçekleşen bayramlarına Chinook dilinde verilen bir isim. Bu tarz öğütler, tek tanrılı dinler öncesi tüm dünyada evrensel kültür olduğu iddia edilen potlacın izlerini taşır. Burada, ahiliğin normlarını ihsas eden üç Türkçe fütüvvetnâme yazarının (Burgâzî, Şeyh Seyyid Hüseyin ve Radavî) eserlerinden hareketle, armağan veya bağış kültürü olarak da ifade edilen potlaç ile ahiliğin hangi açılardan benzeştiği ve ayrı düştüğü ele alınmaktadır., Akhism, dating back to the time of the Turkey Seljuks in its origin, is a professional association organized as tariqa which was also continued by Ottomans. Futuwwas, being a kind of regulations of akhism, advice helping each other, contributing to union members and thus, becoming a role model of a human being. Such advices bear the traces of potlach alleged as a universal culture around the world before the period of monotheistic religions. Potlatch is a name given to the exchange festivals in Chinook language in the North American Indian communities. On the basis of the opuses of three Turkish futuwwa authors, Burgazi, Sheikh Sayyid Hussein and Radavi declaring the akhism norms, in this paper it will be examined whether or not the potlatch known as a gift or donation culture and the akhism resemble and differ from each other in some ways.

In recent times, popularity of blockchain based cryptocurrencies (bitcoin and ethereum) have been increased. Blockchain system has decentralized peer topeer (P2P) network, all transactions are recorded in a public ledger that canonly be appended. The miners constitutethe nodes of this network and every miner has local copy of ledger. Inblockchain, PoW consensus algorithm is used to verify transaction and give permissionto append new blocks to chain. To get reward, miners compete with each other tocomplete transactions on the peer to peer network. The reward system popularized Bitcoin, which uses block-chain, but at thesame time attracted the atention of the attackers in the block chain. In this paper,current attacks against the block-chain are presented. In the first part,attack types to P2P architecture, consensus protocol and transaction areinvestigated. In this part, 51%, Double Spending, Finney, Vector76, Brute Force,Sybil, Eclipse and Balance attacks are explained and solutions are proposed. Inaddition, pool mining attacks such as block withholding attack (BWH), Poolhoping attack, Blacklisting via Punitive Forking, Feather Forking and briberyattack are presented. In the last part, thefuture of cryptography used in blockchain infrastructure has been discussed andeffects of Post Quantum Cryptography have been mentioned, Son zamanlarda; blok zinciri tabanlı kripto para ödemesistemleri(bitcoin, ethereum) oldukça popüler olmuştur. Merkezi olmayan eşlerarası(P2P) ağ yapısına sahip olan bu sistemde tüm işlemler, sadece eklemeyapılabilen bir ana defterde(ledger) tutulmaktadır. Madenciler ise bu ağyapısındaki düğümleri oluşturmaktadır, her madenci defterin yerel kopyasınasahiptir. Blok zincirinde, PoW uzlaşma protokolü işlemi onaylamakta ve zincire yeniblok eklenmesine izin vermektedir. Ödülü almak için, madenciler eşler arasıağda işlemi tamamlamak için birbirleriyle yarışırlar. Ödül sistemi, blok zinciri kullanan bitcoin’ipopülerleştirmiş, fakat aynı zamandasaldırganların blok zincirine ilgisini artırmıştır. Saldırganlar tarafındanblok zincirinin madenci havuzuna ve ağ yapısının güvenliğine farklı saldırılaryapılmıştır. Bu makalede, blok zinciri alt yapısına karşı mevcut saldırılarsunulmuştur. İlk bölümlerde, P2P mimarisine, uzlaşma protokolüne ve işlemlereyönelik saldırı tipleri araştırılmıştır. Bu bölümde, %51 saldırısı, Çiftharcama, Finney, Vector76, Kaba Kuvvet, Sybil, Eclipse, Denge gibi saldırılar açıklanmışve çözümler önerilmiştir. Daha sonra, Bencil madencilik ve Blok Atma, BlokTutma(BWH), Blok Tutma SonrasıÇatallanma(FAW), Havuz sıçrama saldırısı, Cezalandırıcı Çatallanma ile KaraListeye Alma, Köpük saldırısı ve Rüşvet Saldırısı gibi madencilik havuzunakarşı saldırılar incelenmiş ve savunma stratejileri sunulmuştur. Son bölümde deblok zinciri altyapısında kullanılan kriptografi’nin geleceği üzerinde tartışılmışve Post Kuantum Kriptografi’nin etkilerinden bahsedilmiştir

Bitcoin, merkezi otoriteye ihtiyaç duymayan, dağıtık ve dijital bir para birimi olarak, son yıllarda finans dünyasındaki popüler konuların başında gelmektedir. İlk dönemde Bitcoin’in finansal özelliklerine duyulan ilgi, zaman içerisinde Bitcoin’e hayat veren blok zinciri teknolojisine doğru kaymaya başlamıştır. Hemen her gün yeni bir uygulama alanını duymaya başladığımız blok zinciri teknolojisi alanındaki akademik araştırmalar sınırlı sayıdadır. Ülkemizde de gerek uygulama gerekse akademik anlamda yeterli sayıda çalışma olmadığını söyleyebiliriz. Bu inceleme, blok zinciri teknolojisini sistematik olarak gözden geçirerek, kullanım alanlarını, açık noktalarını ve gelecek beklentilerini tartışmaktadır., In recent years, as being a distributed and digital currency, and not being in need of a centralized authority, Bitcoin has become the foremost among the most popular subjects of the financial world. The initial interest in Bitcoin’s financial features change course into blockchain technology, which essentially vitalizes the Bitcoin. While we have started to hear about the new implementations of blockchain technology almost every day, worldwide academic research is still limited. Unfortunately, implementation efforts and academic studies on blockchain in our country is also scarce. This paper systematically investigates the blockchain technology to discuss its usage areas, open issues, and future expectations.

This paper investigates the science of mukhtalif al-hadith in terms ofname, content, definition, importance, development, recording and causes.This various views are examined, evaluated and expanded. The researchhighights the proper approach in eliminiating the contradictions throughillustrative examples. The majör findings of the research are stated in theconclusion., Bu makalede ismi, konusu, tanımı, önemi,ortaya çıkışı, tedvini ve sebepleri açısından muhtelifu’l-hadîs ilmi ele alınmaktadır.Bu ilim ile ilgili görüşler bir araya getirilmekte ve müzakere edilmekte,ardından bu görüşler arasında bir tercih yapılmaktadır. Bunun yanısıra bubölümlerde ilave bilgiler de bulunmaktadır.Bu çalışmada bazı örneklere dayanılarakhadîsler arasındaki ihtilafın giderilmesi konusunda doğru bir yöntemaçıklanmakta ve öne çıkan sonuçların zikredilmesiyle de konu bitirilmektedir.

Date of Conference: 2-5 May 2018 In this paper, we study online nonlinear data regression and propose a highly efficient long short term memory (LSTM) network based architecture. Here, we also introduce on-line training algorithms to learn the parameters of the introduced architecture. We first propose an LSTM based architecture for data regression. To diminish the complexity of this architecture, we use an energy efficient operator (ef-operator) instead of the multiplication operation. We then factorize the matrices of the LSTM network to reduce the total number of parameters to be learned. In order to train the parameters of this structure, we introduce online learning methods based on the exponentiated gradient (EG) and stochastic gradient descent (SGD) algorithms. Experimental results demonstrate considerable performance and efficiency improvements provided by the introduced architecture.

Date of Conference: 2-5 May 2018 In this paper, we investigate online parameter learning for Long Short Term Memory (LSTM) architectures in distributed networks. Here, we first introduce an LSTM based structure for regression. Then, we provide the equations of this structure in a state space form for each node in our network. Using this form, we then learn the parameters via our Distributed Particle Filtering based (DPF) training method. Our training method asymptotically converges to the optimal parameter set provided that we satisfy certain trivial requirements. While achieving this performance, our training method only causes a computational load that is similar to the efficient first order gradient based training methods. Through real life experiments, we show substantial performance gains compared to the conventional methods.

Synchrohasor measurement is a common tool to monitor system stability and detect faults in electric power systems and various Phasor Measurement Units (PMUs) have been developed for this purpose. Parameter computation methods of PMUs specifically designed for rapidly time-varying voltage cases caused by nonlinear dynamic loads have been an attractive research topic. In this paper, instantaneous amplitudes and phases of the voltage signals are estimated using a method based on quadrature amplitude modulation complying with M class accuracy criteria defined by the IEEE Standard C37.118. It has been shown on simulated voltage data that the proposed method provides synchrophasor results satisfying the accuracy limits defined in IEEE Standard C37.118. The results of the proposed method have also been compared with those of the DFT method and the proposed method has been shown to be more advantages in terms of satisfying the accuracy limits and reducing processing time.

In this study, a method is proposed to determine the parameters of Proportional Integral Derivative Acceleration (PIDA) controller, which are used in the control of higher degree systems, via Particle Swarm Optimization (PSO) algorithm. Classic controller methods may sometimes be insufficient, especially in the control of higher degree systems. In PIDA controller design, heuristic optimization algorithms, which is one of the recommended methods for these systems, provides successful results. The performance of the PIDA controller obtained by the proposed method in the paper is compared with the gradient search and genetic algorithms in the literature. The unit step response and the frequency response of the controller show the effectiveness of the method.

The multiuser detection (MUD) at the receiver end of the Space Division Multiple Access aided Orthogonal Frequency Division Multiplexing (SDMA-OFDM) systems is very crucial for receiver design technologies. Due to the detailed search mechanism, the maximum likelihood (ML) MUD that provides optimal performance is limited to a dramatically increased computational complexity. The QR decomposition with M-algorithm maximum likelihood detection (QRM-MLD) MUD reduces the computational complexity compare with the computational complexity of ML MUD. The minimum mean squared error (MMSE) MUD with low complexity exhibit poor performance. MMSE-successive interference cancellation (SIC) MUD with almost the same complexity provides better bit error rate (BER) performance than linear MMSE MUD. In this paper, Hybrid QRM-MLD-MMSE with SIC adaptive multiuser detection has been proposed for signal detection. The simulation results show that the proposed method significantly reduces the complexity of the system and controls the BER performance of the system at the desired level.

Pedestrian Detection (PD) is one the most studied application areas of object detection. Although an important effort is already given to develop advanced classifiers for self-driving cars (SDC) especially in recent years, studies about onboard railway systems remain very limited. Although the similarity of railway and highway scenarios suggests that systems developed for SDC-PD can be used for rail vehicles, it is also necessary to examine the low level of generalization ability and the high degree of dependence of the PD test performance on the training set. In this paper, the feasibility of PD systems, whose effectiveness on SDC is proved, was examined on railway systems. For this purpose, SDC-PD systems, created with different training benchmarks such as Caltech and INRIA, have been applied to railway system scenes with various difficulties and the results have been examined. The findings show that the direct implementation of classifiers for SDC does not provide sufficient success to come up with specific challenges to railway systems.

In traditional networking architecture, for each problem a specific protocol is dedicated to network devices and these devices are configured manually. Since they are hardware-based, the implementation of new ideas and technologies to these devices is very difficult. However, today's increasing use of smartphones and other mobile data devices has increased the data traffic, and with the addition of service diversity and the needs of users, the existing network structure has become much more complex. Software Defined Networks (SDN) is a new network paradigm that allows a programmable central controller mechanism which separates the control plane from the data plane. With the advantage of a centralized control mechanism, SDN ensures that network structures can respond more quickly to current demands, be more flexible and reprogrammable. In addition, all these processes are implemented at a lower cost compared to traditional networking architecture. To evaluate the performance of SDN architectures, testbeds are used by researchers. In this paper, a small-scale and cost-effective SDN testbed is designed and implemented. The testing environment is realized using Raspberry Pi 3, Floodlight and Open vSwitch. Controller performance has been observed with the MACtracker application.

Bu çalışmada, savonius tipi dikeyrüzgâr türbini tasarlanmış ve çevresindeki havanın hız ve basınç dağılımısayısal olarak incelenmiştir. Türbinin0°, 45°, 90° ve 135° olmak üzere dörtfarklı açıda konumlandırılmıştır. Her açısal konum için 3 m/s, 6 m/s ve 9 m/srüzgâr hızı ve basınç dağılımı grafikleri elde edilmiştir. En büyük hava hızı 9m/s (0°) için kanat çevresinde en fazla hız 21,33 m/s olarak elde edilmiştir.Tüm basınç grafikleri için en yüksek basınç 0° ve 45° de 86,36 Pa olarak tespitedilmiştir.&nbsp, In this paper, savonius type vertical wind turbine designed.Velocity and pressure distributions of the surrounding air are investigatednumerically. The turbine is positioned at four different angles: 0°, 45°, 90°and 135°. For each angular position, velocity and pressure distribution graphswere obtained at wind speeds of 3 m/s, 6 m/s and 9 m/s. The maximum airvelocity was 21.33 m/s for 9 m/s (0°). For all pressure plots the maximumpressure was determined to be 86.36 Pa at 0° and 45°.

Nowadays, it becomes very important to know the level ofinstitutionalization and as a result what improvements they can make fororganizations. Though there are many conceptual studies of institutionalizationin the literature, there is no study based on numerical methods that canprovide a foresight about institutionalization. In this paper, a new model hasbeen proposed by determining concepts that are effective on institutionalizationfrom literature and expert opinions. Firstly, the relationships between theconcepts are taken from the experts linguistically. Linguistic expressions areconverted to numerical values using the center of gravity method (COG) used in fuzzylogic applications. Then, three different scenarios were investigated by usingthe Fuzzy Cognitive Maps (FCMs) algorithm and the future states of the conceptswere determined and interpreted. In the first scenario, an organization withpoorly managed organizational concepts was considered. The institutionalizationtendency in this organization has reached to 0,027 value which is theestimation calculated by FCM algorithm in the future. The second scenario andthe third scenario represents a midlevel and good organization respectively.Institutionalization tendency values were 0.97 for the second and thirdscenarios. However, when the number of iterations representing the time periodis examined, it is seen that the organization thought in the third scenario hasreached this value before 9 iterations. This is because the organization in thethird scenario is well managed in the current situation. With the developedmodel, the most effective concepts on institutionalization were alsoidentified. It has been determined that the most important concepts affectinginstitutionalization are process management, information management andstrategic management. Compared to the literature, the results seem to beconsistent., Kurumsallaşma, organizasyondakiyöneticilere ve çalışanlara bağlı olmadan, tüm süreçlerin şeffaf ve sistematikolarak yürütülmesini ifade eder.Kurumsallaşmanın mükemmeliyeti organizasyonun misyon, vizyon ve stratejikhedeflerine paralel yönde seyreden ticari faaliyetlerle sağlanabilir.Kurumsallaşmanın organizasyon içerisinde benimsenememesi organizasyonların uzunsüreli yaşam döngüsünü engellemektedir. Bu nedenle, organizasyonlarınkurumsallaşma seviyelerini takip edebileceği ve bu takip sonucunda hangiiyileştirmeleri yapabilecekleri konusu çok önemli hale gelmektedir. Literatürdekurumsallaşmanın kavramsal olarak incelendiği birçok çalışma olmasına rağmenileriye yönelik bir öngörü elde edilebilen sayısal yöntemlere dayalı birçalışmaya rastlanmamıştır. Bu çalışmada, kurumsallaşma üzerinde etkili olankonseptler literatür ve uzman görüşleriyle belirlenerek yeni bir modelönerilmiştir. Öncelikle uzmanlardan konseptler arasındaki ilişkiler dilselolarak alınmıştır. Dilsel ifadeler, bulanık mantık uygulamalarında kullanılanağırlık merkezi yöntemiyle sayısal değerlere dönüştürülmüştür. Daha sonra,Bulanık Bilişsel Haritalar(BBH) algoritması kullanılarak 3 farklı senaryoincelenmiş ve konseptlerin gelecekteki durumları tespit edilip, yorumlanmıştır.Geliştirilen model ile aynı zamanda kurumsallaşma üzerindeki en etkilikonseptler ve geleceğe yönelik öngörüler de belirlenmiştir.

Son 20 yılda üretim teknolojilerinde yaşanan gelişmeler ve üretilen ürünlerin küresel pazara sunulabilmesi, satın alınabilecek ürünlere ilişkin çok sayıda alternatife sahip olan müşterin beklentilerini artmıştır. Bu nedenle ürün kalitesinin önemi artmış ve ürün kalitesi tek boyutlu bir kavram olmaktan çıkarak, çok boyutlu bir kavram haline gelmiştir. İşletmelerin faaliyet gösterdikleri sektörde pazar payını artırması ve rekabet avantajı elde edebilmesi için, ürettikleri ürülerin kalitesinin, sektördeki rakiplerinin ürünlerine göre durumunu analiz etmeleri gereklidir. Belirli bir sektörde faaliyet gösteren işletmelerin ürün kalitesi bakımından değerlendirilmesi ve en iyi durumdaki işletmenin belirlenmesi için kullanılabilecek yöntemlerden bir tanesi “Bulanık veri zarflama analizi (BVZA)” yöntemidir. Bu çalışmada İstanbul, Ankara, İzmir, Kocaeli ve Kayseri’de faaliyet gösteren makine üretim işletmelerinin ürün kalitesi etkinlik analizi bulanık veri zarflama analizi yöntemi ile gerçekleştirilmiştir., Because of the progress on production technology in last two decades and presentation of manufacturing product into global market, customers which have a large number of affordable product alternatives, expectations increased. Therefore, importance of product quality incresed and product quality get beyond a single dimensional concept and it became a multi dimensional concept. It is neccesary to analysis quality of manufacturing products in comparison with their competitors so as to increase their market share and gain competition edge. Fuzzy data envelopment analysis method is one of the methods for using determine best enterprise in terms of product quality and assesing product quality of enterprises in business a certain sector. In this paper, analysis of product quality efficiency was implemented by fuzzy data envelopment analysis to machinery manufacturing sector in business enterprises in Istanbul, Izmir, Kocaeli, Ankara and Kayseri.

Mobile devices begin to spread increasingly recently to offer a lot of services which personal computers offer. This condition has led to increase in the number of security threats in mobile devices and services. In this paper, it has been made a research on mobile malware and malware detection techniques. Within the scope of the study, a a permission based detection system based on the machine learning methods for Android malware was developed. Developed system is analyzed by using Random Forest, Support Vector Machine and Artificial Neural Networks algorithms.

25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY, WOS: 000413813100148, Electrical harmonic is an important issue affecting power quality of electrical systems. Estimation of power harmonics are essential to design filters to be utilized in electrical power systems for reducing harmonics and their effects on the electrical power systems. In this study, a harmonic estimator based on differential evolution algorithm is proposed for harmonic estimation problems shown in power systems. Analyses of designed estimator are performed for two different experiments. In addition, performances of proposed estimator are compared with available results of the literature. The achieved results of this study showed that the proposed harmonic estimator in this paper is superior among previously reported ones., Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ

Nowadays, along with the development of information technologies, storage and analysis of biomedical datasets are easy in health sector. In this area, Machine Learning methods provide a great contribution for evaluation and interpretation of data. In this paper, in addition to Support Vector Machines, Decision Tree, K-Nearest Neighbors, Naive Bayes and Dictionary Learning methods, Random Feature Subspaces (RDL) and Random Instance Subspaces (BDL) methods which are the ensembles of Dictionary Learning are used in biomedical data classification. In the test results, SVM and Dictionary Learning methods, RDL and BDL, which are generated using random feature/instance subspaces achieve optimum accuracy results.

Buçalışmada farklı alanlarda yapılan bilgisayarda benzetim modeli çalışmalarıincelenmiştir. Yapılan çalışmaların ortak özelliği, gerçek ortamda gözlenmesive incelenmesi zor olan karmaşık sistemlerden oluşmaktadır ve bu sistemlerianaliz edebilmek için benzetim modeline ihtiyaç duyulmaktadır. Modellenensistemin hedefi gerçek sistemi yansıtmasıdır. Bunu bir çok kriter belirlediğigibi en önemli kriterlerden biri, geniş parametre uzayına sahip bu sistemlerinistenen davranışı yansıtabilecek doğru parametrelerin kullanımını sağlamaktır.Bunun için, parametre ayarlama işlemlerini otomatik ve sistematik bir şekildegerçekleştirebilecek bir takım yöntemlere ihtiyaç vardır. Bu çalışmamızda modellenen sistemlerlebirlikte ortaya çıkan parametre ayarlama problemini çözmeye yönelik yapılançalışmaların çözüm önerileri ve kullanmış oldukları yöntemler kısacaaçıklanarak sunulmuştur., In this paper, the simulation model studies on computer madein different fields are examined. The common feature of the work carried out isthat the work is related to complex systems which are difficult to observe andanalyze in the real environment thus, simulation models are needed to analyzethese systems. The goal of the modeled system is to reflect the real system. Itsets many criteria. One of the most significant is to use the correctparameters which can reflect the desired behavior of these systems with largeparameter space. In this study proposed solution for the modeling systems'problems associated with the parametere tuning and methods used by modellingsystems to solve these problems are briefly explained.

25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY WOS: 000413813100213 Superpixel based methods have recently shown success in scene segmentation and labeling. In scene labeling, a superpixel algorithm is used first to segment the image into visually consistent small regions; then several feature descriptors are computed and classification is performed for each superpixel. In this paper, Kernel Codebook Encoding (KCB) of superpixel features is proposed. In KCB feature vectors are mapped to multiple codewords in a soft manner, instead of the usual hard quantization. The weights assigned to the codewords are determined by a kernel distance function. KCB method is used for encoding of SIFT features in SuperParsing image parsing algorithm. The developed approach is tested on the SIFT Flow dataset consisting of 2,688 images and 33 classes, and achieves 2.7% increase in parsing accuracy over SuperParsing. Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ

Matematiksel modelleme, matematik eğitimi ile verilmeye çalışılan tüm temel becerilerin gelişmesine önemli katkı sağlayacağı düşünüldüğü için matematik dersi öğretim programlarında ve dünyadaki matematik eğitimi reform çalışmalarında yer almaktadır. Matematiksel modelleme süreci öğrenenler için zor bir süreç olabilmektedir. Bu süreç için teknoloji gerekli bir araç olarak belirtilmektedir. Ancak alanyazında teknolojinin matematiksel modelleme sürecine etkisinin nasıl olduğunun ayrıntılı olarak açıklanması gerektiği ve bu tür araştırmaların olmadığı ifade edilmektedir. Bu bağlamda, araştırmanın amacı matematiksel modelleme sürecinin teknoloji ile desteklenen ve desteklenmeyen ortamlarda nasıl şekillendiğini incelemektir. Çalışmada, matematiksel modelleme süreci Stillman, Galbraith, Brown ve Edward (2007) tarafından ortaya konulan süreç modeli dikkate alınarak incelenmiştir. Bu araştırma eylem araştırması olarak desenlenmiştir. Çalışmanın katılımcılarını 33 öğretmen adayı oluşturmaktadır. Veri analizi, veri toplama süreciyle eş zamanlı olarak yürütülmüştür. Süreçte katılımcıların düşüncelerini birbirine sesli olarak aktardığı bir ortamın olması, yazılı çözüm kağıtları, grupların çözümlerini içeren ekran kayıtları, gözlem notları ve grup üyeleriyle yapılan ayaküstü mülakatlar öğretmen adaylarının modelleme sürecindeki zihinsel süreçlerinin ortaya çıkarılmasında etkili bir rol oynamıştır. Bu çalışmanın, teknolojinin modelleme sürecine etkisini, teknoloji ile desteklenen ve desteklenmeyen ortamlarda sınayıp ortaya çıkan farkları betimlemesi bakımından alana katkı sağlayacağı düşünülmektedir, Mathematical modeling take place in mathematics curriculums and just like in reforms of mathematics education around the world since it is thought that would make significant contributions to the improvement of all the basic skills which is attained with mathematics education in an effort. Mathematical modeling of daily-life situations is a process that may be difficult for learners. Technology is considered a necessary tool for this complex mathematical modeling cycle. Yet, it is stated in the literature that it is necessary to explain how technology affects the mathematical modeling process and such research is not available. In this context, the purpose of this research is to study how mathematical modeling process is shaped in environments aided or not aided with technology. The mathematical modeling process in the study was examined in consideration of the process model introduced by Stillman, Galbraith, Brown and Edward (2007). The research was designed as action research. The participants of the study were 33 pre-service teachers. The data analysis was performed synchronously with the data collection process. The fact that the environment enabled the participants to communicate thoughts to each other vocally; written solution papers; screencasts that include groups’ solutions; observation notes; and onelegged interviews with group members played an active role in revealing pre-service teachers’ mental processes during modeling. It is thought that this study would contribute to the field due to testing technology’s effect on the modeling process in environments aided and not aided with technology and describing the differences observed

25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY, WOS: 000413813100592, In this paper, a study which automatically detects four open string notes of the violin from the recorded violin sounds is presented for the purpose of using in the beginner level violin education. First, in order to be able to analyze the violin sound recordings, it is necessary for the music piece to be segmented into the notes forming the music piece itself For this, it is necessary to correctly determine the starting times (onsets) of the notes. Because of the envelope characteristic that the violin sound has, it is more difficult to detect the note onset than other musical instrument sounds such as piano and guitar. By using the complex spectral difference method, the note onsets were determined, then by determining the fundamental frequency the note of the violin sound was found. The proposed system was applied to the open string sound tracks obtained from eight people by using the iPad-based professional recording system, and the results showed that the proposed system worked successfully., Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ

25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY, WOS: 000413813100200, In this paper, the performance of direct current informative subcarrier intensity modulation (DCI-SIM) which is proposed to enhance the power efficiency of subcarrier intensity modulation (SIM) is investigated in visible light communication. The BER performance of DCI-SIM is compared with SIM, pulse amplitude modulation (PAM) and, enhanced unipolar orthogonal frequency division multiplexing (eU-OFDM) for different spectral efficiencies. Using analytical derivations and simulation results, we show that the DCI-SIM is the most power efficient modulation technique among others, and that the power efficiency increases with the spectral efficiency. Furthermore, we optimize the constellation of 64-DCI-SIM and present the results., Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ

Thanks to the new technologies of remote sensors, remote sensor data which increases in size exponentially and transforms to big data with increasing spatial and spectral resolutions causes great difficulties in storage, transportation and processing. It has become a necessity to implement parallel approaches instead of traditional methods, which are inadequate in critical applications when real/near real-time analysis of relevant large data is needed. In this paper, high performance computing approaches such as Multi-core, FPGA, GPU, Cluster and Cloud Computing are investigated for real / near real-time large data analysis in remote sensing applications.

25th Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2017 -- Antalya, TURKEY, WOS: 000413813100430, Reverberation and multipath propagation affect 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 acquired 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 multipath propagation and reverberation are severe., Turk Telekom, Arcelik A S, Aselsan, ARGENIT, HAVELSAN, NETAS, Adresgezgini, IEEE Turkey Sect, AVCR Informat Technologies, Cisco, i2i Syst, Integrated Syst & Syst Design, ENOVAS, FiGES Engn, MS Spektral, Istanbul Teknik Univ

Semantic place prediction problem is the process of giving semantic names, such as school, home, office, to locations. Different than the localization problem where the coordinates of a place are predicted, the aim is to semantically characterize the location. While the GPS coordinates of a place can be utilized in solving the problem, phone usage patterns of the users in that location can be used as well. In this paper, the aim is to semantically classify locations of smart phone users utilizing the data collected from wireless interfaces and the motion sensors available on the phones with machine learning algorithms. The efficiency of features extracted from raw data is analysed in terms of metrics such as accuracy, using different classification algorithms. The results show that, while random forest and decision tree algorithms achieve 66% accuracy with only temporal features, adding features from device properties and activity features increases the accuracy up to 99%.

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.

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.

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.

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.