Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/253

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Now showing 1 - 11 of 11

Citation Count: Güleç, Ulaş; Yılmaz, Murat; İşler, Veysi, "A literature survey: Is it necessary to develop a new software development methodology for virtual reality projects?", Journal of Universal Computer Science, Vol.23, No.8, pp.725-754, (2017).
A literature survey: Is it necessary to develop a new software development methodology for virtual reality projects?
(Graz Univ Technolgoy, 2017) Güleç, Ulaş; Yılmaz, Murat; İşler, Veysi; 47439
Software development is a complex human endeavour with high failure rates. Although a variety of software development methodologies have been proposed to improve the software development process, there is no universal model for all software development organizations. Virtual reality (VR) is an emerging trend especially for the gaming industry, which should prepare itself for VR development. The goal of this study is to explore potential software development activities and determine whether designing a new software development methodology for VR projects is an important topic for software development organizations working on VR software development. For this purpose, a literature survey has been completed and 71 academic studies have been examined in detail. This study shows that no work is being conducted in the field of developing a new methodology for VR projects. However, the study does show that there are similar endeavours in the field of human computer interaction (HCI), such as game development methodology.
Citation Count: Quandt, Alexander...et al. "About nanometer sized analogues of basic electronic and optical components", 2008 2nd Icton Mediterranean Wiınter (Icton-Mw)
About nanometer sized analogues of basic electronic and optical components
(IEEE, 2008) Quandt, Alexander; Özdoğan, Cem; Ferrari, Maurizio; Speranza, Giorgio; 40569
We discuss a downsizing of optical components into the nanometer range. It presupposes the substitution of photons by ballistic electrons, but it also requires a simple and robust concept to assemble the analogues of basic electronic and optical components on such a tiny length scale. Here, one of the most promising candidate schemes employs graphene as a basic nanosubstrate. We elucidate the suggested behaviour of graphene as an electronic metamaterial [1], and show that other desired electronic or optical functionalities may be obtained through a patterning with sub-nanometer sized boron clusters [2].
Citation Count: Kurfali, Murathan...et al. "Adoption of e-government services in Turkey", Computer In Human Behaviour, Vol66, pp.168-178, (2017).
Adoption of e-government services in Turkey
(Pergamon-Elsevier Science LTD, 2017) Kurfalı, Murathan; Arifoğlu, Ali; Tokdemir, Gül; Paçin, Yudum; 17411
This research aims to investigate underlying factors that play role in citizens' decision to use e-government services in Turkey. UTAUT model which was enriched by introducing Trust of internet and Trust of government factors is used in the study. The model is evaluated through a survey conducted with Turkish citizens who are from different regions of the country. A total of 529 answers collected through purposive sampling and the responses were evaluated with the SEM (Structural Equation Modeling) technique. According to the results, Performance expectancy, Social influence, Facilitating conditions and Trust of Internet were found to have a positive effect on behavioral intention to use e-government services. Additionally, both Trust factors were found to have a positive influence on Performance expectancy of e-government services, a relation which, to our best knowledge, hasn't been tested before in e-government context. Effect of Effort expectancy and Trust of government were found insignificant on behavioral intention. We believe that the findings of this study will guide professionals and policy makers in improving and popularizing e-government services by revealing the citizen's priorities regarding e-government services in Turkey.
Citation Count: Erkoç, S.; Kokten, Hande; Güvenç, Ziya B., "Fragmentation of water clusters: molecular-dynamics simulation study" European Physical Journal D, Vol.13, No.2, pp.361-365, (2001).
Fragmentation of water clusters: molecular-dynamics simulation study
(Springer Verlag, 2001) Erkoç, S.; Kökten, Hande; Güvenç, Ziya B.
The fragmentation of water clusters, [(H2O)(n): n = 2-8], have been investigated by using molecular-dynamics simulation method. In the simulations a polarizable-dissociable potential energy function for water has been used. Particular attention has been paid to investigate the effect of structural properties and cluster size of the fragmentation.
Citation Count: Ertek, Gürdal; Tokdemir, Gül; Sevinç, Mete; Tunç, Murat Mustafa, "New knowledge in strategic management through visually mining semantic networks", Information Systems Frontiers, Vol.19, No.16, pp.165-185, (2017).
New knowledge in strategic management through visually mining semantic networks
(Springer, 2017) Ertek, Gürdal; Tokdemir, Gül; Sevinç, Mete; Tunç, Murat Mustafa; 17411
Today's highly competitive business world requires that managers be able to make fast and accurate strategic decisions, as well as learn to adapt to new strategic challenges. This necessity calls for a deep experience and a dynamic understanding of strategic management. The trait of dynamic understanding is mainly the skill of generating additional knowledge and innovative solutions under the new environmental conditions. Building on the concepts of information processing, this paper aims to support managers in constructing new strategic management knowledge, through representing and mining existing knowledge through graph visualization. To this end, a three-stage framework is proposed and described. The framework can enable managers to develop a deeper understanding of the strategic management domain, and expand on existing knowledge through visual analysis. The model further supports a case study that involves unstructured knowledge of profit patterns and the related strategies to succeed using these patterns. The applicability of the framework is shown in the case study, where the unstructured knowledge in a strategic management book is first represented as a semantic network, and then visually mined for revealing new knowledge.
Citation Count: Özgür, Atilla; Saran, Ayşe Nurdan; Nar, Fatih, "Parallelization of sparsity-driven change detection method", 2017 25th Signal Processing And Communications Applications Conference (SIU), (2017).
Parallelization of sparsity-driven change detection method
(IEEE, 2017) Özgür, Atilla; Saran, Ayşe Nurdan; Nar, Fatih; 20868
In this study, Sparsity-driven Change Detection (SDCD) method, which has been proposed for detecting changes in multitemporal synthetic aperture radar (SAR) images, is parallelized to reduce the execution time. Parallelization of the SDCD is realized using OpenMP on CPU and CUDA on GPU. Execution speed of the parallelized SDCD is shown on real-world SAR images. Our experimental results show that the computation time of the parallel implementation brings significant speed-ups.
Citation Count: Demir, Engin; Demir, Vahap Burhan, "
Predicting flight delays with artificial neural networks: case study of an airport
(IEEE, 2017) Demir, Engin; Demir, Vahap Burhan; 20734
Air transportation has an important place among transportation systems and it is indispensable for the flights to perform their voyages in scheduled time in order to ensure the comfort of passengers and controllability of operational costs. There are several reasons for flight delays like weather conditions, excessive intensity in air traffic, accidents or closed airfields, conditions that will lead to an increase in distances between planes and operational delays in ground services. In this study, using the data collected from the sensors located in the airport and the information about the flight, the goal is develop a machine learning model to estimate departure delays of flights using artificial neural networks.
Citation Count: Dalveren, Gonca Gokce Menekse...et al. "Simulation-based environments for surgical practice", 2017 4th International Conference On Control, Decision And Information Technologies (Codit), pp.1153-1156, (2017).
Simulation-based environments for surgical practice
(IEEE, 2017) Dalveren, Gonca Gökçe Menekşe; Çağıltay, Nergiz Ercil; Özçelik, Erol; Maraş, H. Hakan; 115500
Modeling and simulation environments provide several insights about the real situations such as endoscopic surgery. Endoscopic surgery requires both hand skills, so, understanding the effect of using dominant or non dominant hand on mental workload is important to better design, develop and implement modeling and simulation environments to support real-life implementations of surgical procedures. This experimental study presents a simulation application of eye-tracking approach to understand mental workload in different hand conditions: dominant hand, non-dominant hand and both hand. The results of the study show that, performing simulated surgical tasks by both hands compared to dominant hand, increases mental workload which is evident by higher pupil size. Accordingly, to manage the mental-load problems of surgeons while performing complex tasks that require both hand usage simulation-based environments can be used. Consequently, collection of detailed information such as eye-data, can give several insights about the behaviors of the surgeons. Also, their required skills can be improved by development of simulation and training environments.
Citation Count: Yumusak, Semih; Aras, Rıza Emre; Uysal, Elif, "SpEnD portal: linked data discovery using SPARQL endpoints", 2017 IEEE International Conference On Big Data (Big Data), pp.200-2202, (2017).
SpEnD portal: linked data discovery using SPARQL endpoints
(IEEE, 2017) Yumuşak, Semih; Aras, Rıza Emre; Uysal, Elif; Doğdu, Erdoğan; Kodaz, Halife; Öztoprak, Kasım
We present the project SpEnD, a complete SPARQL endpoint discovery and analysis portal. In a previous study, the SPARQL endpoint discovery and analysis steps of the SpEnD system were explained in detail. In the SpEnD portal, the SPARQL endpoints are extracted from the web by using web crawling techniques, monitored and analyzed by live querying the endpoints systematically. After many sustainability improvements in the SpEnD project, the SpEnD system is now online as a portal. SpEnD portal currently serves 1487 SPARQL endpoints, out of which 911 endpoints are uniquely found by SpEnD only when compared to the other existing SPARQL endpoint repositories. In this portal, the analytic results and the content information are shared for every SPARQL endpoint. The endpoints stored in the repository are monitored and updated continuously.
Citation Count: Yıldız, Hüseyin Uğur...et al. "The impact of ıncapacitation of multiple critical sensor nodes on wireless sensor network lifetime", IEEE Wireless Communications Letters, Vol.6, No.3, pp. 306-309, (2017).
The impact of incapacitation of multiple critical sensor nodes on wireless sensor network lifetime
(IEEE-INST Electrical Electronics Engineers INC, 2017) Yıldız, Hüseyin Uğur; Tavlı, Bülent; Kahjogh, Behnam Ojaghi; Doğdu, Erdoğan
Wireless sensor networks (WSNs) are envisioned to be utilized in many application areas, such as critical infrastructure monitoring, and therefore, WSN nodes are potential targets for adversaries. Network lifetime is one of the most important performance indicators in WSNs. The possibility of reducing the network lifetime significantly by eliminating a certain subset of nodes through various attacks will create the opportunity for the adversaries to hamper the performance of WSNs with a low risk of detection. However, the extent of reduction in network lifetime due to elimination of a group of critical sensor nodes has never been investigated in the literature. Therefore, in this letter, we create two novel algorithms based on a linear programming framework to model and analyze the impact of critical node elimination attacks on WSNs and explore the parameter space through numerical evaluations of the algorithms. Our results show that critical node elimination attacks can significantly shorten the network lifetime.
Citation Count: Onal, Aras Can...et al. "Weather data analysis and sensor fault detection using an extended ıot framework with semantics, big data, and machine learning, 2017 IEEE International Conference On Big Data (Big Data), pp.2037-2046, (2017).
Weather data analysis and sensor fault detection using an extended ıot framework with semantics, big data, and machine learning
(IEEE, 2017) Önal, Aras Can Sezer, Ömer Berat; Doğdu, Erdoğan; Özbayoğlu, Murat; Önal, Aras Can
In recent years, big data and Internet of Things (IoT) implementations started getting more attention. Researchers focused on developing big data analytics solutions using machine learning models. Machine learning is a rising trend in this field due to its ability to extract hidden features and patterns even in highly complex datasets. In this study, we used our Big Data IoT Framework in a weather data analysis use case. We implemented weather clustering and sensor anomaly detection using a publicly available dataset. We provided the implementation details of each framework layer (acquisition, ETL, data processing, learning and decision) for this particular use case. Our chosen learning model within the library is Scikit-Learn based k-means clustering. The data analysis results indicate that it is possible to extract meaningful information from a relatively complex dataset using our framework.

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Browsing Bilgisayar Mühendisliği Bölümü Yayın Koleksiyonu by Department "Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği"