Uluslararası İndeksli Yayınlar / International Indexed Publications
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Browsing Uluslararası İndeksli Yayınlar / International Indexed Publications by Type "Book chapter"
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Publication 2D UAV path planning with radar threatening areas using simulated annealing algorithm for event detection(2018) Basbous, Bilal;Path Planning for Unmanned Aerial Vehicles (UAVs) can be used for many purposes. However, the problem becomes more and more complex when dealing with a large number of points to visit for detecting and catching different type of events and simple threat avoidance such as Radar Areas. In the literature different type of algorithms (especially evolutionary algorithms) are preferred. In this project, Simulated Annealing (SA) Algorithm is used for solving the path planning problem. Firstly, problem is converted to a part of Travelling Salesman Problem (TSP), and then the solutions are optimized with the 2-Opt approach and other simple algorithms. The code is implemented in MATLAB by using its visualization. Circular avoidance approach is developed and applied with the Simulated Annealing in order to escape from circular radar threats. Tests have been made to observe the results of SA algorithm and radar threats avoidance approaches, where the results show that after a period of time, SA algorithm gives acceptable solutions with the capacities of escaping from radar area threats. Where SA algorithm gives better solutions in less period of time when there are no radar threats. Experimental results depicted that the proposed model can result in an acceptable solution for UAVs in sufficient execution time. This model can be used as an alternative solution to the similar evolutionary algorithms.Publication A General Look At The Environment And Environmental Problems In Tourism(Int Scientific Conference Sgem, 14, Kilment Ohridsky Blvd, Sofia, 1797, Bulgaria, 2011) Yazıcı, Hacer Neyir; TR113404In literature, environment is mentioned as "the whole nature and examples of human-made structures in the nature together with human beings and all other living beings". Environment is the atmosphere or conditions in which an organism exists and it is an atmosphere that existed with the first living being on earth. Environment is the physical, biological, social, economic and cultural atmosphere where people and other living beings lead their lives and interact with one another. Human life is built on various balances. Breaks that occur in the links that form the natural balance which people establish with their nature affect the whole chain, lead to defects in this balance and cause environmental problems. Basic environmental problems that people face can be summarized as follows: Increasing pollution of the air, water and earth and an important part of them becoming unusable, big cities' and industrial areas' becoming impossible places to live in due to environmental pollution, ozone layer depletion, increasing global warming, increase in cancer and similar diseases, fast consumption of natural resources, etc. Although. the developing industrial sector is shown as the primary perpetrator of environmental problems, tourism, which is referred to as the industry without a chimney, also affects the environment negatively. Tourism, which is closely related to the environment in terms of its sustainability, generally seeks after short term benefits during the marketing of resources and it can harm these resources - which are its raw material. Tourism, which is the user, not the protector, of tourism in its development process, caused concerns about the environment since it helps economic development in developing and underdeveloped countries including Turkey. In this study, environment and environmental problems arising out of tourism will be touched upon, the problems caused on tourism by environmental problems will also be analyzed and the tourism dimension of environment and its problems will be reflected in the study with an extensive literature study.Publication A Pandemic Experience of Remote Working: Reflections on Emotions(Peterlang, 2021) Peksatıcı Yanıkoğlu, Özge; Ergun, Hande Sinem; Samur Teraman; Seray Begüm; 223341; 173087; 31285Covid-19 pandemic employs spectacular and specific characteristics that are unique only to this period. First of all, remote working during Covid-19 is enforced. In other words, it is not a choice but rather an obligation to work remotely. In addition, mobility and socialization are limited under pandemic circumstances. Moreover, companies and employees had to switch remote working suddenly, and therefore they were unprepared for this sudden change (Waizenegger, McKenna, Cai, & Bendz, 2020). Before the pandemic, remote working could have been perceived as a “positive” option that provides more freedom and flexibility to the employees, employers, and scholars in the field. However, Covid-19’s enforced remote working unraveled the efficiencies of our working assumptions and challenged them. In fact, it can be argued that “the meaning of work” has also changed during the pandemic. In order to maintain the “business as usual”, it is on the shoulders of the knowledge workers to quickly adapt to the sudden merge of the living and working environment and the new ways of digital interacting.Publication A tree learning approach to web document sectional hierarchy extraction(2010) Pembe, F.Canan; Göngör, TungaThere is an increasing availability of documents in electronic form due to the widespread use of the Internet. Hypertext Markup Language (HTML) which is mostly concerned with the presentation of documents is still the most commonly used format on the Web, despite the appearance of semantically richer markup languages such as XML. Effective processing of Web documents has several uses such as the display of content on small-screen devices and summarization. In this paper, we investigate the problem of identifying the sectional hierarchy of a given HTML document together with the headings in the document. We propose and evaluate a learning approach suitable to tree representation based on Support Vector Machines.Publication Aging-related diseases and autophagy(2016) Çoker Gürkan , Ajda; Palavan Unsal, Narcin; ARISAN, ELİF DAMLA; YERLİKAYA, PINAR OBAKANAutophagy is fundamental, evolutionary conserved physiological process at molecular level which targets long-lived cytosolic proteins and organelles to be recycled through lysosomal degradation. Diminished autophagic activity caused cellular stress in many organisms following aging, and inhibition of autophagy in model organisms causes degenerative changes and pathologic diseases observed with high incidence ratio generally in older ages. Consequently the delayed senescence or increased longevity in model organisms often stimulate autophagy, and autophagy inhibition compromises anti-aging effects. The cytoprotective function of autophagy is presented in various human diseases such as lung, liver, cardiovascular diseases, neurodegeneration, myopathies, cancer, stroke, infections and metabolic diseases which are found associated with autophagic targets. These pathologies are defined with their age-dependent characteristics, is not fully understood that how autophagy network regulates metabolism and may cause diseases in age-related manner. In this book chapter, we are going to discuss the autophagy and aging relationship in three different parts. In the first section autophagy and aging relationship is going to be presented through explaining responsible signalling network. The autophagy and age-related neurological disorders, genetic basis of age-dependent diseases and the functional role of autophagy is going to be discussed in the second and third part of the chapter.Publication An analytical approach for analysing the impact of risks on production planning: Case of Öztiryakiler(2020) Telatar, E.; Bekeç, T.; Başaran, A.; Balıkçı, N.; Bilgin, B.; İlbay, E.; AKTİN, AYŞE TÜLİNAccurate and applicable production plans are a must for manufacturing companies. Although companies tend to prepare ideal production plans, some exogenous factors can affect their validity. These risks, which occur unexpectedly, will have a negative influence on the plan. This study aims to determine the exogenous factors affecting the success of production planning of square and rectangular food containers manufactured by Öztiryakiler, and analyse their impacts on the plans. The risk factors are evaluated using Failure Mode and Effects Analysis, and their risk priority numbers are calculated. A mixed-integer linear programming model with the objective of total cost minimisation is developed to obtain the production plan of containers. Initially, an ideal data set is used as input; hence, this model’s output displays a risk-free plan. Similarly, for each of the risk factor scenarios, mathematical models are solved with risk-related data. GAMS software and CPLEX solver is utilised in the solution of all models. Finally, for each of the selected high risk alternative, the expected total costs are calculated. This is achieved by multiplying the normalized risk priority number obtained from the Failure Mode and Effects Analysis with the corresponding optimal total cost of the risky plan. This analysis highlights the most critical risks, and comparison with the risk-free plan helps in proposing system improvements. © 2020, Springer Nature Switzerland AG.Publication Automatic HTML code generation from mock-up images using machine learning techniques(2019) Asiroğlu, Batuhan; Yıldız, Eyyüp; Nalçakan, Yağız; Sezen, Alper; Dağtekin, Mustafa; Ensari, Tolga; METE, BÜŞRA RÜMEYSAThe design cycle for a web site starts with creating mock-ups for individual web pages either by hand or using graphic design and specialized mock-up creation tools. The mock-up is then converted into structured HTML or similar markup code by software engineers. This process is usually repeated many more times until the desired template is created. In this study, our aim is to automate the code generation process from hand-drawn mock-ups. Hand drawn mock-ups are processed using computer vision techniques and subsequently some deep learning methods are used to implement the proposed system. Our system achieves 96% method accuracy and 73% validation accuracy.Publication Biotic Stress-Tolerant Plants Through Small Rna Technology(Elsevier, 2020) ÇELİK, ÖZGE; MERİÇ, SİNAN; AYAN, ALP; ATAK, ÇİMENWith an increasing population around the world, the rapid loss of agricultural fields shows us the urgent importance of finding solutions to develop agricultural productivity. Besides industrialization, several effectors such as abiotic and biotic factors cause losses in crop productivity. Biotic factors threaten production and transportation of products worldwide. Bacteria, fungi, viruses, and oomycetes cause losses both pre- and postharvest. It is crucial to improve biotic stress-tolerant plants to overcome reduction in plant productivity. For many years, researchers focused on understanding plant defense mechanisms. Anatomical, physiological, and molecular adaptive mechanisms were investigated for several plant species. Besides the innate immunity mechanisms, including cross-talk, among the phytohormones to manage appropriate defense mechanisms against pathogens, new generation strategies in crop improvements are widely used in plant biotechnology. Although conventional breeding has importance in breeding new varieties, new technologies increase the possibility of success. Recently, new combinations of technologies have been proven effective to develop new cultivars. Small RNA technology is one of the developing crop improvement technologies relying on regulating specific genes together with their sequence identity. In this chapter, we focus on the small RNA technologies used in improvement of biotic stress-tolerant plants.Publication Blockchain based secure communication for Iot devices in smart sities(2019-04) Yetiş, R.; ŞAHİNGÖZ, ÖZGÜR KORAYIn smart city technologies we have witnessed advanced technological improvements in small computing devices, which can be connected to the Internet and named as Internet of Thing (IoT) devices, and cooperatively working complex systems. With this increased use of new technologies, the security problem is becoming more and more important because complex systems lead to unpredictable security vulnerabilities, which result in financial and private information losses. As a recently emerged technology, Blockchain was emerged as an alternative solution to security breaches of a different application environment. In contrast to the central structure used by most systems, it is preferred especially in the area of security by its distributed structure and the cryptographic hash algorithm it uses. Today, structures such as Smart Home, Smart City, Smart Environment and Smart Agriculture, which are created by using IoT are seen as active research areas with more security shortages. The reason for the security weakness in these areas arises from the hardware restriction on the IoT devices used. In the proposed system, an authorization system for IoT devices has been tried to be set up by using the distributed node structure of Blockchain system and blocks kept in these nodes. UDP (User Datagram Protocol), which uses a simple communication model without establishing a connection to the minimum protocol mechanism for communication of nodes in the system, was preferred. The communication between the nodes has been encrypted using encryption methods, thus creating a secure environment.Publication Blood Serum-Infrared Spectra-Based Chemometric Models for Auxiliary Diagnosis of Autism Spectrum Disorder(Elsevier, 2021) ILDIZ, GÜLCE ÖĞRÜÇ; Bayarı, Sevgi; Yorguner, Neşe; Fausto, RuiThis chapter focuses on the use of chemometric models developed from infrared (IR) spectroscopic data of blood serum as an auxiliary tool for autism spectrum disorder (ASD) diagnosis. In the introductory sections the fundamentals of IR spectroscopy are shortly reviewed and brief descriptions of the different chemometric methods used in the case study described in the last section of the chapter are presented. The last section deals with the application of the described strategy to the diagnosis of ASD in children and adolescents. © 2021 Elsevier Inc. All rights reserved.Publication Brain-Body-Mind in the nebulous cartesian system: A holistic approach by oscillations(SPRINGER, 233 SPRING STREET, NEW YORK, NY 10013, UNITED STATES, 2011) BAŞAR, EROLPublication Classification of War(Oxford: Inter-disciplinary Press, 2011) YESEVİ, ÇAĞLA GÜL; ; 140841War will be defined in broader perspective. War between nation-states will be disregarded. War comprises organized psychological pressures, all kinds of restraints, physical and psychological abuses, usage of aggressive terminology, strict and dogmatic political and social thoughts. In that sense, first category of war is war against women especially in my own society, people living in Turkey including both Turks and Kurds. Women have been facing religious pressures as veiling. Some other women have demanded the freedom of veiling in the official life. They haven’t been educated as men. They have been beaten, forced to do all households. They have been forced to get married in their early ages. The arranged marriages and polygamy have been other problems of women. It was settled in the minds, myths, terminology, narratives, and customs, social, economic and political life of people. Secondly, terrorism will be investigated. The history and activities of terrorist organization, Kurdistan Workers’ Party against Turkey will be revealed. Thirdly, the state’s war against its own citizens will be explained. This war could also be defined with the war between the government and the people. Both democratic and authoritarian states through party in the power could wage war against their own citizens by creating Fear Empire. Governments could use their legislative powers against citizens who have antagonistic ideas. Economic support has been given to supporters of government. The causes of judicial case related to Ergenokon Crime organization will be stated. Allegedly, this organization comprising nationalist and secular intellectuals and members of high military command tried to form coup d’état against government of Justice and Development Party. Many people were detained, long trial process has been continuing.Publication Comparing the Cost of Fandom in European Football(Taylor and Francis, 2022) ÖZAYDIN, SELÇUK; TINAZ, CEMUndoubtedly, fans are an essential factor of success for football clubs due to their potential to generate income and contribute to the home-field advantage. So far, the literature has focused on fans’ contribution to their teams; however, the cost of being a fan has not been investigated thoroughly. The increasing commercialization of football has emphasized football consumption as a commodity, which improved the overall quality of the produced output. A fan has to pay more than the previous year to show their affiliation to their beloved team every year. Especially with the global pandemic and its adverse effects on disposable income and employment, being a fan will be costlier more than ever. This chapter examines the cost of being a football fan for selected teams from the Big 5 leagues of Europe, Portuguese Primeira Liga and the Turkish Super League. We examine the cost, both in absolute terms and as a percentage of GDP per capita and minimum wage and identify the fan-friendly ones among Europe’s top teams in terms of cost. © 2022 selection and editorial matter, Danielle Sarver Coombs and Anne C. Osborne; individual chapters, the contributors.Publication Content-based publish/subscribe communication model between Iot devices in smart city environment(2019-04) Öztürk, Fulya; Özdemir, Ayşe MelihaIn recent years the population of the cities has been increasing the getting over half of the whole world population. These peoples are facing with some security and infrastructural needs. Some of these needs can be met with the use of some smart technologies such as Internet of Things Devices (IoT) with different types of sensors. Coordination and communication of these devices are very critical for enabling the digital solutions in a secure and comfortable city life. However, due to the restricted ability of these devices, setting up a flexible communication platform is a very challenging issue. In this paper for setting up the physical security of smart homes/buildings, a content-based publish-subscribe model is proposed by the use of wireless sensor network nodes in the critical environment. Due to the energy constraint of the devices, the broadcasting feature of the wireless communication is not used, instead of this a peer to a communication according to the content of the message is preferred. Experimental results showed that the proposed communication model can be applicable for smart city environments.Publication Deep learning based classification of malaria from slide images(2019) Kalkan, Soner Can; ŞAHİNGÖZ, ÖZGÜR KORAYAs one of the most life-threatening disease in the tropical and warmer-climate countries, Malaria affects not only animals but also humans who can be infected by only a single bite from a mosquito. Although this disease is wiped out in high-income countries, as a result of traveling people, it can even emerge in all part of the world. World Health Organization announced that more than 400,000 people are expected to die due to this illness. However, it is a curable and preventable disease, if early detection is possible. Traditionally, Pathologists diagnosed this disease manually by using microscope which is a time-consuming process in our computerized world, and this model depends on the experience of the Pathologists, which is a critical problem in rural areas. Therefore, in recent years detection of Malaria using computerized image analysis which is trained using some dynamic learning mechanism has gained increasing importance. In this paper, we proposed an image processing-based Malaria detection system which is trained by deep learning. We used relatively big data for increasing the accuracy of the system, and the reached accuracy showed that the proposed system has an outstanding classification rate that can be used in real-world detection.Publication Deep learning based forecasting in stock market with big data analytics(2019) Şişmanoğlu, Gözde; Önde, Mehmet Ali; Koçer, Furkan; ŞAHİNGÖZ, ÖZGÜR KORAYIn recent years, due to the technological improvements in computers' hardware and enhancements in the machine learning techniques, there are two increasing approaches for problem-solving as the use of "Big Data" and "Parallel Processing". Especially with the emergence of Deep Learning algorithms which can be executed parallelly on multi-core computing devices such as GPUs and CPUs, lots of real-world problems are resolved with these approaches. One of the most critical application areas in the Financial Market especially sits on Stock Markets. In this area, the aim is trying to predict the future value of a specific stock by looking at its previous financial data on the exchange process in the market. In this paper, we proposed a system that uses a Deep Learning based approach for training and constructing a knowledge base on a specific stock such as "IBM". We get time series values of the stock from the New York Stock Exchange which starts from 1968 up to 2018. Experimental results showed that this approach produces very good forecasting for specific stocks.Publication Digital Game As A New Media And Use Of Digital Game In Education(Iated-Int Assoc Technology Education A& Development, Lauri Volpi 6, Valenica, Burjassot 46100, Spain, 2011) Yengin, DenizTransfer of information is trying to stay alive with the language but it is also supported and developed by the discovery of calligraphy. The development of technology in writing, keep records of information systematically. The discovery of electricity was opened in front of the electromagnetic discoveries and sharing of knowledge gained momentum over the channels. According to Huizinga game "game is an activity which is done voluntarily and in regular activities in a particular time and in space". This shows us the concept of the game is not "an unnecessary activity", it has turned into a sense of social and individual vital activity. Reproduced by the codes are real, users in different ways transmitted. Digital game is one of the ways of transmission. Digital media tools such as the game is played the video game and computer game. These environments are considered under the heading of Digital Games. Digital games provide an interactive environment with individuals as they allow electiveness, mobility and non-linearity. In an era of economic angst and where real and virtual identities are being disputed, individuals of the information society are searching for something different other than mass communication. They seek after individual experiences. Digital game environments allow users to gather ideas by allowing them to gain virtual experiences as opposed to real life events. Due to their rich visual content, digital games have the characteristic to shorten the learning period of individuals. Digital games offer users fantasy worlds where they can become lose themselves in different identities. This way through modeling, users are able to 'free' themselves. The main focus in this study will be to analyze the use of digital game in education. Alongside surveys, the study will also make use of literary sources. The universe of the study will be the Turkish students. The data collection method is conducting survey. The answers to the questions in the survey have been transferred to a SPSS environment, where descriptive and inferential analyses will lead us to understand the use of digital game in Turkey's education sector. The relationship between digital games and their users will also be examined. The quantitative study of education with digital games will be a useful source for future studies and will bridge the gap in this area.Publication Digital Maturity Models: A Holistic Framework for Digital Transformation(IGI Global, 2023) YILMAZ, KEMAL ÖZKANThis chapter aims to create a general framework on digital maturity models and reveal the highlights of the commonly used components of digital maturity models. The emphasis will be more on detailing human-related fundamental aspects of digital maturity models rather than the technological ones. Considering the incrementally increasing options to reach collaboration technologies and swift deployment of them to different sectors, the main challenge still remains as to manage the psychological asset related parts. Although technology is generally perceived as mechanical, whose boundaries can be drawn, tasks to be assigned can be defined; the technological elements within the concept of digital maturity also intersects with the human-related dimensions of digital transformation. The study aims to advise a systematic approach by offering a theoretical framework to manage human-related factors in a digital transformation journey with an inclusive perspective positioning technology as the core medium provider and contributes to the theoretical background in the field of study.Publication Effect of Environment in Increasing Sustainable Competitiveness at Tourism Destination(Peter Lang AG, 2020) Ertuğral, Suna Muğan; TEKELİ, HACER NEYİR; Arslan, Sezgi GedikPublication The Effect of Heuristic Methods Toward Performance of Health Data Analysis(Springer Science and Business Media Deutschland GmbH, 2022) ÖZOĞUR, HATİCE NİZAM; Orman, ZeynepAnalysis and prediction of health data make essential contributions to the detection, control, and prevention of diseases in the early stages without special examinations. In the analysis of health data, the balance of the datasets, the accuracy and completeness of the data, and the selection of features to represent the disease are very important as they affect the performance of machine learning methods. They have also become popular in various health data analysis studies such as classification of diseases, selection of features to represent the disease, imputation of missing value in dataset since heuristic methods give successful result in the optimization of many problems. In this chapter, various studies that combine heuristic methods and machine learning algorithms for health data analysis between 2010 and 2021 have been examined. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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