Research Outputs
Permanent URI for this communityhttps://hdl.handle.net/20.500.14288/2
Browse
20 results
Search Results
Publication Metadata only A second-order adaptive network model for organizational learning and usage of mental models for a team of match officials(2022) Kuilboer, Sam; Sieraad, Wesley; van Ments, Laila; Treur, Jan; Department of Computer Engineering; Canbaloğlu, Gülay; Undergraduate Student; Department of Computer Engineering; College of Engineering; N/AThis paper describes a multi-level adaptive network model for mental processes making use of shared mental models in the context of organizational learning in team-related performances. The paper describes the value of using shared mental models to illustrate the concept of organizational learning, and factors that influence team performances by using the analogy of a team of match officials during a game of football and show their behavior in a simulation of the shared mental model. The paper discusses potential elaborations of the different studied concepts, as well as implications of the paper in the domain of teamwork and team performance, and in terms of organizational learning.Publication Metadata only Access pattern-aware data placement for hybrid DRAM/NVM(TUBITAKScientific and Technical Research Council Turkey, 2017) Department of Computer Engineering; Erten, Didem Unat; Faculty Member; Department of Computer Engineering; College of Engineering; 219274in recent years, increased interest in data-centric applications has led to an increasing demand for large capacity memory systems. Nonvolatile memory (NVM) technologies enable new opportunities in terms of process-scaling and energy consumption, and have become an attractive memory technology that serves as a secondary memory at low cost. However, NVM has certain disadvantages for write references, due to its high dynamic energy consumption for writes and low bandwidth compared to DRaM writes. in this paper, we propose an access-aware placement of objects in the application code for two types of memories. Given the desired power savings and acceptable performance loss, our placement algorithm suggests candidate variables for NVM. We present an evaluation of the proposed technique on two applications and study the energy and performance consequences of different placements.Publication Metadata only Application of data mining techniques to protein-protein interaction prediction(Springer, 2003) Atalay, R.; N/A; Department of Computer Engineering; Kocataş, Alper Tolga; Gürsoy, Attila; Master Student; Faculty Member; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 8745Protein-protein interactions are key to understanding biological processes and disease mechanisms in organisms. There is a vast amount of data on proteins waiting to be explored. In this paper, we describe application of data mining techniques, namely association rule mining and ID3 classification, to the problem of predicting protein-protein interactions. We have combined available interaction data and protein domain decomposition data to infer new interactions. Preliminary results show that our approach helps us find plausible rules to understand biological processes.Publication Metadata only Assistive technologies and inclusion for older people introduction to the special thematic session(Springer International Publishing Ag, 2022) Panek, Paul; Haslwanter, Jean D. Hallewell; Department of Media and Visual Arts; Subaşı, Özge; Faculty Member; Department of Media and Visual Arts; College of Social Sciences and Humanities; 240920This special thematic session aims to continue the discussions around Active Assisted Living (AAL) by looking into how AAL systems and technologies are related to older people's lives. Almost all countries are challenged by the aging demographics and issues that people face in the course of aging. A great diversity of technologies have been developed and implemented. However, there are many challenges involved in developing and deploying systems that truly fit the needs and wishes of older people. The papers included in this session look at various topics, including ageism, addressing privacy with sensors, and evaluations of systems.Publication Open Access BlockSim-Net: a network-based blockchain simulator(TÜBİTAK, 2022) Ramachandran, Prashanthi; Agrawal, Nandini; Department of Computer Engineering; Biçer, Osman; Küpçü, Alptekin; Faculty Member; Department of Computer Engineering; College of Engineering; Graduate School of Sciences and Engineering; N/A; 168060Since its proposal by Eyal and Sirer (CACM '13), selfish mining attacks on proof-of-work blockchains have been studied extensively. The main body of this research aims at both studying the extent of its impact and defending against it. Yet, before any practical defense is deployed in a real world blockchain system, it needs to be tested for security and dependability. However, real blockchain systems are too complex to conduct any test on or benchmark the developed protocols. Instead, some simulation environments have been proposed recently, such as BlockSim (Maher et al., SIGMETRICS Perform. Eval. Rev. '19), which is a modular and easy-to-use blockchain simulator. However, BlockSim's structure is insufficient to capture the essence of a real blockchain network, as the simulation of an entire network happens over a single CPU. Such a lack of decentralization can cause network issues such as propagation delays being simulated in an unrealistic manner. In this work, we propose BlockSim-Net, a modular, efficient, high performance, distributed, network-based blockchain simulator that is parallelized to better reflect reality in a blockchain simulation environment.Publication Metadata only Comparison of pricing policies for a computational grid market(Springer-Verlag Berlin, 2006) N/A; Department of Computer Engineering; Sönmez, Ömer Ozan; Gürsoy, Attila; Master Student; Faculty Member; Department of Computer Engineering; Graduate School of Sciences and Engineering; College of Engineering; N/A; 8745In this paper, we demonstrate and discuss the economical results of applying a fixed, a dynamic and a stochastic approximation based pricing policy in a free commodity market model designed for computational grids. We present the pricing policies and our economy-driven scheduling heuristic as a part of our market model in which we assume resource owners desire to profit or recover their costs, and users desire to execute their jobs within the limits of their budget and time. The comparison experiments revealed that our dynamic pricing policy is more successful as a means for achieving social welfare in the market.Publication Metadata only Defining gestural interactions for large vertical touch displays(2017) Andersson, Robin; Berglund, Jonas; Fjeld, Morten; Obaid, Mohammad; Department of Media and Visual Arts; Coşkun, Aykut; Faculty Member; Department of Media and Visual Arts; KU Arçelik Research Center for Creative Industries (KUAR) / KU Arçelik Yaratıcı Endüstriler Uygulama ve Araştırma Merkezi (KUAR); College of Social Sciences and Humanities; 165306As new technologies emerge, so do new ways of interacting with the digital domain. In this paper, the touch interaction paradigm is challenged for use on large touch displays of 65 in. in size. We present a gesture elicitation study with 26 participants carried out on twelve actions commonly used on touch displays. The results and analysis of 312 touch gestures revealed agreement rates for each action. We report several findings including the results of a set of ten unique (and a few secondary) gestures, a taxonomy classifying the defined gestures, a pilot study on the defined gestures, and explicit design implications. We discuss the results and include several important factors for future considerations. We aim at helping future designers and engineers to design interactions for large touch displays.Publication Metadata only Evaluation of a mixed reality head-mounted projection display to support motion capture acting(Springer, 2018) Kade, Daniel; Lindell, Rikard; Department of Electrical and Electronics Engineering; Department of Media and Visual Arts; Ürey, Hakan; Özcan, Oğuzhan; Faculty Member; Faculty Member; Department of Electrical and Electronics Engineering; Department of Media and Visual Arts; College of Engineering; College of Social Sciences and Humanities; 8579; 12532Motion capture acting is a challenging task, it requires trained and experienced actors who can highly rely on their acting and imagination skills to deliver believable performances. This is especially the case when preparation times are short and scenery needs to be imagined, as it is commonly the case for shoots in the gaming industry. To support actors in such cases, we developed a mixed reality application that allows showing digital scenery and triggering emotions while performing. In this paper we tested our hypothesis that a mixed reality head-mounted projection display can support motion capture acting through the help of experienced motion capture actors performing short acting scenes common for game productions. We evaluated our prototype with four motion capture actors and four motion capture experts. Both groups considered our application as helpful, especially as a rehearsal tool to prepare performances before capturing the motions in a studio. Actors and experts indicated that our application could reduce the time to prepare performances and supports the set up of physical acting scenery.Publication Metadata only Geolocation risk scores for credit scoring models(Springer Science and Business Media Deutschland Gmbh, 2024) Ünal, Erdem; Aydın, Uğur; Koraş, Murat; Department of Computer Engineering;Department of Industrial Engineering; Akgün, Barış; Gönen, Mehmet; College of EngineeringCustomer location is considered as one of the most informative demographic data for predictive modeling. It has been widely used in various sectors including finance. Commercial banks use this information in the evaluation of their credit scoring systems. Generally, customer city and district are used as demographic features. Even if these features are quite informative, they are not fully capable of capturing socio-economical heterogeneity of customers within cities or districts. In this study, we introduced a micro-region approach alternative to this district or city approach. We created features based on characteristics of micro-regions and developed predictive credit risk models. Since models only used micro-region specific data, we were able to apply it to all possible locations and calculate risk scores of each micro-region. We showed their positive contribution to our regular credit risk models.Publication Metadata only Line segmentation of individual demographic data from Arabic handwritten population registers of Ottoman Empire(Springer International Publishing Ag, 2021) N/A; Department of History; Can, Yekta Said; Kabadayı, Mustafa Erdem; Researcher; Faculty Member; Department of History; College of Social Sciences and Humanities; College of Social Sciences and Humanities; N/A; 33267Recently, more and more studies have applied state-of-the-art algorithms for extracting information from handwritten historical documents. Line segmentation is a vital stage in the HTR systems; it directly affects the character segmentation stage, which affects the recognition success. In this study, we first applied deep learning-based layout analysis techniques to detect individuals in the first Ottoman population register series collected between the 1840s and 1860s. Then, we used a star path planning algorithm-based line segmentation to the demographic information of these detected individuals in these registers. We achieved encouraging results from the selected regions, which could be used to recognize the text in these registers.