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Article Citation - Scopus: 2Symbolic polynomial interpolation using mathematica(Springer Verlag, 2004) Yazici,A.; Altas,I.; Ergenc,T.This paper discusses teaching polynomial interpolation with the help of Mathematica. The symbolic power of Mathematica is utilized to prove a theorem for the error term in Lagrange interpolating formula. Derivation of the Lagrange formula is provided symbolically and numerically. Runge phenomenon is also illustrated. A simple and efficient symbolic derivation of cubic splines is also provided. © Springer-Verlag Berlin Heidelberg 2004.Conference Object Citation - Scopus: 2Systematic Mapping on Quality in Web Application Testing(Institute of Electrical and Electronics Engineers Inc., 2019) Akbulut,S.; Gebreyesus,Y.T.; Mishra,A.; Yazici,A.Similar to all other fields of study, assuring the quality of web applications is very important. With the aim of increasing web applications quality in testing, our task in this paper is to reflect on the results of the literature searches made in this area. The literature survey carried out in this study searches for studies in the area of quality in application testing and retrieves 1972 papers, published within the timeframe of 2006 and 2016. The publications are systematically identified, analyzed, and classified and an overview of the trends in this specialized field is presented. Systematic mapping is applied to review and structure the body of knowledge related to quality in web application testing. To conduct our study, we selected a set of 27 papers published in the area of quality in web application testing between 2006 and 2016. The results of this work can help other researchers to obtain an overview of the existing web application testing quality trends and approaches as well as to identify areas in the field that require more attention from research point of view. © 2019 IEEE.Conference Object Citation - Scopus: 2Changing Our Educational Institutions: Transition From Traditional To E-Learning Programs(2004) Yazici,A.; Karakaya,Z.; Dalgarno,B.; Altas,I.In this paper we examine basic elements of e-Learning, the features of the e-Learning model under implementation at Atilim University and the expected impact of the model on the organization of the institution. The paper also draws on examples at other institutions in discussing the issues that form the dynamics of organizational change within Universities in the 21st century. © 2004 IEEE.Conference Object Citation - Scopus: 7Slim-Tree and Bitmatrix Index Structures in Image Retrieval System Using Mpeg-7 Descriptors(2008) Açar,E.; Arslan,S.; Yazici,A.; Koyuncu,M.Content-based retrieval of multimedia data has still been an active research area. The efficient retrieval in natural images has been proven a difficult task for content-based image retrieval systems. In this paper, we present a system that adapts two different index structures, namely Slim-Tree and BitMatrix, for efficient retrieval of images based on multidimensional low-level features such as color, texture and shape. These index structures also use metric space. We use MPEG-7 Descriptors extracted from images to represent these features and store them in a native XML database. The low-level features; Color Layout (CL), Dominant Color (DC), Edge Histogram (EH) and Region Shape (RS) are used in Slim-Tree and BitMatrix and aggregated by Ordered Weighted Averaging (OWA) method to find final similarity between any two objects. The experiments included in the paper are in the subject of index construction and update, query response time and retrieval effectiveness using ANMRR performance metric and precision/recall scores. The experimental results strengthen the case that uses BitMatrix along with Ordered Weighted Averaging method in content-based image retrieval systems. ©2008 IEEE.Conference Object Citation - Scopus: 11Jmathnorm: a Database Normalization Tool Using Mathematica(Springer Verlag, 2007) Yazici,A.; Karakaya,Z.This paper is about designing a complete interactive tool, named JMathNorm, for relational database (RDB) normalization using Mathematica. It is an extension of the prototype developed by the same authors [1] with the inclusion of Second Normal Form (2NF), and Boyce-Codd Normal Form (BCNF) in addition to the existing Third normal Form (3NF) module. The tool developed in this study is complete and can be used for real-time database design as well as an aid in teaching fundamental concepts of DB normalization to students with limited mathematical background. JMathNorm also supports interactive use of modules for experimenting the fundamental set operations such as closure, and full closure together with modules to obtain the minimal cover of the functional dependency set and testing an attribute for a candidate key. JMathNorm's GUI interface is written in Java and utilizes Mathematica's JLink facility to drive the Mathematica kernel. © Springer-Verlag Berlin Heidelberg 2007.Conference Object Citation - Scopus: 3Flexible Content Extraction and Querying for Videos(2011) Demir,U.; Koyuncu,M.; Yazici,A.; Yilmaz,T.; Sert,M.In this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy. © 2011 Springer-Verlag.Conference Object Citation - Scopus: 1Metu-Mmds: an Intelligent Multimedia Database System for Multimodal Content Extraction and Querying(Springer Verlag, 2016) Yazici,A.; Sattari,S.; Yilmaz,T.; Sert,M.; Koyuncu,M.; Gulen,E.Managing a large volume of multimedia data, which contain various modalities (visual, audio, and text), reveals the need for a specialized multimedia database system (MMDS) to efficiently model, process, store and retrieve video shots based on their semantic content. This demo introduces METU-MMDS, an intelligent MMDS which employs both machine learning and database techniques. The system extracts semantic content automatically by using visual, audio and textual data, stores the extracted content in an appropriate format and uses this content to efficiently retrieve video shots. The system architecture supports various multimedia query types including unimodal querying, multimodal querying, query-by-concept, query-by-example, and utilizes a multimedia index structure for efficiently querying multi-dimensional multimedia data. We demonstrate METU-MMDS for semantic data extraction from videos and complex multimedia querying by considering content and concept-based queries containing all modalities. © Springer International Publishing Switzerland 2016.Conference Object Citation - Scopus: 25A Comparison of Stream Processing Frameworks(Institute of Electrical and Electronics Engineers Inc., 2017) Karakaya,Z.; Yazici,A.; Alayyoub,M.This study compares the performance of Big Data Stream Processing frameworks including Apache Spark, Flink, and Storm. Also, it measures the resource usage and performance scalability of the frameworks against a varying number of cluster sizes. It has been observed that, Flink outperforms both Spark and Storm under equal constraints. However, Spark can be optimized to provide the higher throughput than Flink with the cost of higher latency. © 2017 IEEE.Conference Object Perceptions, Expectations and Implementations of Big Data in Public Sector : Kamuda Buÿük Veri: Alglar, Beklentiler Ve Uygulamalar(Institute of Electrical and Electronics Engineers Inc., 2018) Dogdu,E.; Ozbayoglu,M.; Yazici,A.; Karakaya,Z.Big Data is one of the most commonly encountered buzzwords among IT professionals nowadays. Technological advancements in data acquisition, storage, telecommunications, embedded systems and sensor technologies resulted in huge inflows of streaming data coming from variety of sources, ranging from financial streaming data to social media tweets, or wearable health gadgets to drone flight logs. The processing and analysis of such data is a difficult task, but as appointed by many IT experts, it is crucial to have a Big Data Implementation plan in today's challenging industry standards. In this study, we performed a survey among IT professionals working in the public sector and tried to address some of their implementation issues and their perception of Big Data today and their expectations about how the industry will evolve. The results indicate that most of the public sector professionals are aware of the current Big Data requirements, embrace the Big Data challenge and are optimistic about the future. © 2018 IEEE.Article Study on cloud computing perception of Turkish IT sector;(Strojarski Facultet, 2016) Akca Okan,A.; Hacaloglu,T.; Yazici,A.In this paper an empirical study was carried out to study the Cloud Computing (CC) perception in Turkey. To this extent this study intends to determine the perception of Information Technology decision makers such as Chief Executive Officers and Chief Information Officers by means of a survey by questionnaire approach to explore 98 both public and private IT executives’ understandings and concerns about CC. The survey aims to determine how CC is perceived by public or private organizations that are already involved in the e-transformation process. Major results of the study are as follows: both public and private sector executives have positive perception over adoption of CC, participants think that especially web, e-mail, data storage and process management applications are adequate for CC. Lack of well-educated and experienced staff is found to be the common barrier on adopting CC by both public and private sector participants. © 2016, Strojarski Facultet. All rights reserved.
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