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Öğe A Linear Time Pattern Based Algorithm for N-Queens Problem(Gazi Univ, 2022) Karabulut, Bergen; Erguzen, Atilla; Unver, Halil MuratThe n-queens problem is the placing of n number of queens on an nxn chessboard so that no two queens attack each other. This problem is important due to various usage fields such as VLSI testing, traffic control job scheduling, data routing, dead-lock or blockage prevention, digital image processing and parallel memory storage schemes mentioned in the literature. Besides, this problem has been used as a benchmark for developing new artificial intelligence search techniques. However, it is known that backtracking algorithms, one of the most frequently used algorithms to solve this problem, cannot produce all solutions in large n values due to the exponentially growing time complexity. Therefore, various methods have been proposed for producing one or more solutions, not all solutions for each n value. In this study, a pattern based approach that produces at least one unique solution for all n values (n>3) was detected. By using this pattern, a new algorithm that produces at least one unique solution for even very large n values in linear time was developed. The developed algorithm with.(n) time complexity produces quite faster solution to n-queens problem and even in some values, this algorithm produces (n-1)/2 unique solutions in linear time.Öğe Design of a DFS to Manage Big Data in Distance Education Environments(Graz Univ Technolgoy, Inst Information Systems Computer Media-Iicm, 2022) Unver, Mahmut; Erguzen, Atilla; Erdal, ErdalInformation technologies have invaded every aspect of our lives. Distance education was also affected by this phase and became an accepted model of education. The evolution of education into a digital platform has also brought unexpected problems, such as the increase in internet usage, the need for new software and devices that can connect to the Internet. Perhaps the most important of these problems is the management of the large amounts of data generated when all training activities are conducted remotely. Over the past decade, studies have provided important information about the quality of training and the benefits of distance learning. However, Big Data in distance education has been studied only to a limited extent, and to date no clear single solution has been found. In this study, a Distributed File Systems (DFS) is proposed and implemented to manage big data in distance education. The implemented ecosystem mainly contains the elements Dynamic Link Library (DLL), Windows Service Routines and distributed data nodes. DLL codes are required to connect Learning Management System (LMS) with the developed system. 67.72% of the files in the distance education system have small file size (<=16 MB) and 53.10% of the files are smaller than 1 MB. Therefore, a dedicated Big Data management platform was needed to manage and archive small file sizes. The proposed system was designed with a dynamic block structure to address this shortcoming. A serverless architecture has been chosen and implemented to make the platform more robust. Moreover, the developed platform also has compression and encryption features. According to system statistics, each written file was read 8.47 times, and for video archive files, this value was 20.95. In this way, a framework was developed in the Write Once Read Many architecture. A comprehensive performance analysis study was conducted using the operating system, NoSQL, RDBMS and Hadoop. Thus, for file sizes 1 MB and 50 MB, the developed system achieves a response time of 0.95 ms and 22.35 ms, respectively, while Hadoop, a popular DFS, has 4.01 ms and 47.88 ms, respectively.Öğe The Effect of Personality on Cyberbullying among University Students in Turkey(Ani Yayincilik, 2012) Celik, Serkan; Atak, Hasan; Erguzen, AtillaProblem Statement: Cyberbullying is associated with significant psychological issues among young people such as depression, emotional distress, low self-esteem, and poor academic achievement. It is also regarded as an increasingly emergent problem in educational settings, putting learners' psychological health, safety, and well-being at risk. Recent research has shown that a growing number of students are victims of cyberbullying and a wider realization and a thorough understanding of cyberbullying is needed. Purpose of the Study: This survey-based study set out to explore the relationship between personality traits and cyberbullying among university students receiving education through either face-to-face or distance education modes. Methods: A sectional research design and correlation survey method was adopted throughout the study. As a causal and comparative study, the dependent variable was set as cyberbullying (actively bullying others and/or being bullied) and the independent variable included five personality types. A path model was developed and tested in order to investigate the effects of learning modes and aforementioned personality types on two levels of cyberbullying. Findings and Results: The good fit indexes belonging to the model indicated acceptable conditions and capacity for explaining the relations among the variables. Emotional instability was observed as the leading predictor of being cyberbullied with a medium effect size. On the other hand, the weakest predictor of being bullied was found to be openness to experience with a minor level negative effect size. The developed model was observed to be valid for both face-to-face and distance education learning modes. In addition, a positive and medium level relationship between bullying and being exposed to bullying was observed. Ward's hierarchical cluster analysis conducted on the points obtained from the cyberbullying scale revealed that the majority of the group rarely bullies and is rarely exposed to cyberbullying. Conclusions and Recommendations: This study contributes to the extant literature on bullying in a few conceptual areas. For instance, few research studies have examined the bullying issue in the tertiary context and through learning modes. The current investigation was limited by using a single data set to conduct all analyses. Further research is recommended to involve various variables such as cross-cultural effects on cyberbullying.Öğe An Efficient Encoding Algorithm Using Local Path on Huffman Encoding Algorithm for Compression(Mdpi, 2019) Erdal, Erdal; Erguzen, AtillaHuffman encoding and arithmetic coding algorithms have shown great potential in the field of image compression. These algorithms are the origin of current image compression techniques. Nevertheless, there are some deficiencies in both algorithms that use the frequencies of the characters in the data. They aim to represent the symbols used in the data in the shortest bit sequence. However, they represent data that has a low frequency of use with very long bit sequences. The arithmetic coding algorithm was developed to address the shortcomings of the Huffman encoding algorithm. This paper proposes an efficient, alternative encoding algorithm that uses the Huffman encoding algorithm. The main objective of the proposed algorithm is to reduce the number of bits that are symbolized with long bit codewords by the Huffman encoding algorithm. Initially, the Huffman encoding algorithm is applied to the data. The characters that are represented by the short bit sequence from the Huffman encoding algorithm are ignored. Flag bits are then added according to whether the successive symbols are on the same leaf. If the next character is not on the same leaf, flag bit "0" is added, otherwise flag bit "1" is added between the characters. In other words, the key significance of this algorithm is that it uses the effective aspects of the Huffman encoding algorithm, and it also proposes a solution to long bit sequences that cannot be efficiently represented. Most importantly, the validity of the algorithm is meticulously evaluated with three different groups of images. Randomly selected images from the USC-SIPI and STARE databases, and randomly selected standard images on internet, are used. The algorithm encodes compressing operations for images successfully. Some images that have a balanced tree structure have yielded close results compared to other algorithms. However, when the total results are inspected, the proposed encoding algorithm achieved excellent results.Öğe An Efficient Middle Layer Platform for Medical Imaging Archives(Hindawi Ltd, 2018) Erguzen, Atilla; Erdal, ErdalDigital medical image usage is common in health services and clinics. These data have a vital importance for diagnosis and treatment; therefore, preservation, protection, and archiving of these data are a challenge. Rapidly growing file sizes differentiated data formats and increasing number of files constitute big data, which traditional systems do not have the capability to process and store these data. This study investigates an efficient middle layer platform based on Hadoop and MongoDB architecture using the state-of-the-art technologies in the literature. We have developed this system to improve the medical image compression method that we have developed before to create a middle layer platform that performs data compression and archiving operations. With this study, a platform using MapReduce programming model on Hadoop has been developed that can be scalable. MongoDB, a NoSQL database, has been used to satisfy performance requirements of the platform. A four-node Hadoop cluster has been built to evaluate the developed platform and execute distributed MapReduce algorithms. The actual patient medical images have been used to validate the performance of the platform. The processing of test images takes 15,599 seconds on a single node, but on the developed platform, this takes 8,153 seconds. Moreover, due to the medical imaging processing package used in the proposed method, the compression ratio values produced for the non-ROI image are between 92.12% and 97.84%. In conclusion, the proposed platform provides a cloud-based integrated solution to the medical image archiving problem.Öğe Enhancing Speech Impairment Support: Designing an EEG-Based BCI System for Turkish Vowel Recognition(Int Information & Engineering Technology Assoc, 2024) Haltas, Kadir; Erguzen, AtillaBrain-Computer Interfaces (BCI) have garnered significant attention as a technology that enables individuals to interact with their surroundings using brain activity. In the realm of BCIs, EEG -based systems offer a non-invasive and cost-effective means of monitoring brain activity. This study focuses on EEG -based BCIs and, in particular, aims to recognize Turkish vowel articulation intentions from EEG signals in healthy individuals. Turkish vowels, specifically 'A,' 'E,' and '& Idot;,' were chosen for their high frequency of use in the language. The study explores two distinct BCI system designs, one employing the Common Spatial Patterns (CSP) and Linear Discriminant Analysis (LDA) algorithms and the other utilizing the Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM) algorithms. The results indicate that the second system, employing DWT and SVM, achieved a higher accuracy rate (80.2%) compared to the first system (67.7%), showcasing the superior performance of the DWT algorithm. This research could be a significant step towards improving the quality of life for individuals with speech impairments. The ability of EEGbased BCI systems to recognize the intentions of Turkish vowel articulation could aid these individuals in expressing their thoughts and intentions. Ultimately, this study contributes to the ongoing efforts to harness technology in ways that can significantly improve the lives of individuals with speech impairments.Öğe Improving Technological Infrastructure of Distance Education through Trustworthy Platform-Independent Virtual Software Application Pools(Mdpi, 2021) Erguzen, Atilla; Erdal, Erdal; Unver, Mahmut; Ozcan, AhmetDistance education (DE), which has evolved under the wings of information technologies in the last decade, has become a fundamental part of our modern education system. DE has not only replaced the traditional education method as in social sciences and lifelong learning opportunities but also has significantly strengthened traditional education in mathematics, science, and engineering fields that require practical and intensive study. However, it is deprived of supporting some key elements found in traditional educational approaches such as (i) modern computer laboratories with installed special software suitable for the student's field of interest; (ii) adequate staff for maintenance and proper functioning of laboratories; (iii) face-to-face technical support; (iv) license fees. For students to overcome these shortcomings, a virtual application pool is needed where they can easily access all the necessary applications via remote access. This research aims to develop a platform-independent virtual laboratory environment for DE students. This article has been developed specifically to guide DE institutions and to make a positive contribution to the literature. Technology Acceptance Model (TAM) has been used to explain student behaviors. It was concluded that students using the platform performed more successful grades (12.89%) on laboratory assessments and that the students using the developed platform were found to be more satisfied with the education process.Öğe Medical Image Archiving System Implementation with Lossless Region of Interest and Optical Character Recognition(Amer Scientific Publishers, 2017) Erguzen, Atilla; Erdal, ErdalDigital medical images have been widely used in all stages of healthcare. It has a vital role to transfer and to store digital medical images for medical experts and patients. Since the large file sizes and storage space requirements, image compression has become a necessity. Instead of compressing the entire image, it is an option to compress the region of interest (ROI). Applying lossless methods to the whole image does not provide a sufficient advantage, however, when lossy techniques are used, the vital information of the medical image may be lost. In this study, a novel medical image archiving system implementation based on ROI and Optical Character Recognition (OCR) is proposed. Besides, a new dynamic file structure was used that was specially designed to produce better compression ratio and performance. The medical image is separated into the ROI and the non-ROI parts. JPEG-LS, a lossless compression algorithm, is applied to the ROI segment of the medical image. The OCR and Huffman coding algorithm is used for the non-ROI part of the image. The proposed method was evaluated using medical images of the actual patient and the produced compression ratio for the non-ROI image is between 92.12% and 97.84%. The average difference between the proposed method and the state-of-art in the literature is 83.80% for the non-ROI part. In conclusion, the proposed method provides an integrated solution to the medical image archiving problem.Öğe Mobile Device Supported Online Examination System Appropriate To Distance Learning(Int Organization Center Acad Research, 2016) Bursalioglu, Ozgun; Luy, Murat; Ates, Volkan; Erguzen, AtillaIn modern life information technology has entered into almost every area of people's daily lives and become an important and undeniable part of business, educational and personal life. Thus, technological innovations that became widespread in political, economic, institutional and cultural fields are also being widespread in the educational field. Until recently the existing technical shortcomings, the problems of real-time operation of systems, the difficulty and expensiveness of providing the necessary system were making it almost impossible to apply these technological innovations to education and examination systems. At the present day, studying in various schools and courses in order to fulfill the needs of life, improve ourselves and our lives is essential for us. Eventually exams are administered in various ways to measure people's level of education, practical and theoretical knowledge and abilities. In traditional education system, trainers and learners should adapt to each other in terms of time and venue and they have to fit in the same place at the same time. This particularly leaves learners in the lurch in their personal life and force them education priority scheduling. Despite this situation, it makes impossible to receive training for working people and people with disabilities and also makes it difficult for learners to develop themselves. Web-based learning and online examination systems are able to deliver the required web content to user on all devices with web browsers such as desktop computers, tablet computers and even some televisions. Because of high sales and maintenance fees, deficiency of existing properties on fulfilling the needs of the institution, inability of adding new features of commercial systems make it disadvantageous to use them. In the open source systems, obligation for institution to pay to developer company for eliminating the problems that may occur in using process, insufficiency of technical documentation and difficulties on developing a software for these reasons, these systems are also not preferred. The goal of our work is to develop an institution-specific, user-friendly web-based online examination system that minimizes operating costs, allows institution to add new features easily by expert teams, meets the needs of the institution, integrates the current learning management system. We have developed our application in accordance with the requirements of the Distance Learning Center of Kirikkale University using the contemporary software (Asp. NET MVC5, Angular JS, Bootstrap, Microsoft SQL Server 2014) techniques.Öğe A new forum framework integrated into content(Sila Science, 2012) Erguzen, Atilla; Basal, Ahmet; Erel, SerafettinE-learning has made rapid strides in recent years. Variety of tools supporting blended and online education systems paves the way for the development of e-learning. One of the main tools used in e-learning to support learning is, undoubtedly, asynchronous task-based online discussion groups or discussion board. Existing e-learning platforms (open source or in the market) provide collaboration tools, however, they are not truly integrated with other modules, causing serial problems for the group members. Integration of discussion boards into the course content is of vital importance since they may directly affect learning. In this study, we suggest a new easy-to-use-framework in which discussion boards are embedded in course content, providing easy access to the students without distancing them from the learning material. The tutor can write feedback comments and rate on each learner's postings. Moreover, students can also grade his friends' postings, which may enhance their motivation and may also increase the number of the postings. This framework enriches course content with the power of forum tools and makes learners in the discussion process active with the support of feedback and grade reward.Öğe A real time virtual classroom implementation with WebRTC(Pamukkale Univ, 2017) Erguzen, Atilla; Erol, KadirWebRTC is an open source communication project which provides the communication of web based real time sound, video, and data, In this study, some difficulties ure analyzed and eliminated with the application of Sunul Ders developed by using WebRTC technology. These difficulties con be listed as follows: the lock of real communication in virtual classroom environments, the issues that the students,studying offline face while they,get no responses to their questions, the requirement for new plug-ins or the program installations, the dependency to the system and platform, This application provides the virtual classroom environment that has an instant and continuous voice and visual communication with only an 1-1T4IL5 application during the specified time period and place, The device connected to the internet is sufficient and no additional software and plug-ins are required. Instant messaging, document sharing and presenting, and white board application ure also added to increase the communication facilites between the instructor and participants, Use of Sanal Ders enables to create free environments from place and device in educational process, This framework improves the education by both creating equality and providing efficiency in time and cost.Öğe Rüzgar ve güneş enerji sistemlerinde web tabanlı noktasal karar destek sistem yazılımı(2016) Cam, Ertuğrul; Erguzen, Atilla; Arıkan, Yağmur[Abstract Not Available]
