WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

Browse

Filters

2001 - 2009182010 - 2019502020 - 202322

Settings

Department: search.filters.department.İzmir Institute of Technology. Computer EngineeringScopus Q: search.filters.scopusQuartile.N/A

Search Results

Now showing 1 - 10 of 90
  • Conference Object
    Kurt saldırıları için sentetik irislerde örnek seçilimi
    (IEEE, 2023) Akdeniz, Eyüp Kaan; Erdoğmuş, Nesli
    In this study, samples with higher potential to succeed in wolf attacks are picked among synthetically generated iris images, and the composed subset is shown to pose a more significant threat toward an iris recognition system backed by a Presentation Attack Detection (PAD) module with respect to randomly selected samples. Iris images generated by Deep Convolutional Generative Adversarial Networks (DCGAN) are firstly filtered by rejection sampling on PAD score distribution of real iris image PAD scores. Next, the probability of zero success in all attack attempts is calculated for each synthetic iris image, using real iris images in the training set, and match and non-match score distributions are calculated on those. Synthetic images with the lowest probabilities of zero success are included in the final set. Our hypothesis that this set would be more successful in wolf attacks is tested by comparing its spoofing performances with randomly selected sample sets.
  • Data Paper
    Citation - WoS: 15
    Citation - Scopus: 20
    Database Covering the Prayer Movements Which Were Not Available Previously
    (Nature Publishing Group, 2023) Mihçin, Şenay; Şahin, Ahmet Mert; Yılmaz, Mehmet; Alpkaya, Alican Tuncay; Tuna, Merve; Akdeniz, Sevinç; Can, Nuray Korkmaz; Tosun, Aliye; Şahin, Serap
    Lower body implants are designed according to the boundary conditions of gait data and tested against. However, due to diversity in cultural backgrounds, religious rituals might cause different ranges of motion and different loading patterns. Especially in the Eastern part of the world, diverse Activities of Daily Living (ADL) consist of salat, yoga rituals, and different style sitting postures. A database covering these diverse activities of the Eastern world is non-existent. This study focuses on data collection protocol and the creation of an online database of previously excluded ADL activities, targeting 200 healthy subjects via Qualisys and IMU motion capture systems, and force plates, from West and Middle East Asian populations with a special focus on the lower body joints. The current version of the database covers 50 volunteers for 13 different activities. The tasks are defined and listed in a table to create a database to search based on age, gender, BMI, type of activity, and motion capture system. The collected data is to be used for designing implants to allow these sorts of activities to be performed.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 3
    Secure Iot Update Using Blockchain
    (IEEE, 2021) Kaptan, Melike; Tomur, Emrah; Ayav, Tolga; Erten, Yusuf Murat
    In this study a platform is devised to send automatic remote updates for embedded devices. In this scenario there are Original Equipment Manufacturers (OEMs), Software suppliers, blockchain nodes, Gateways and embedded devices. OEMs and software suppliers are there to keep their software on Inter Planetary File System (IPFS) and send the meta-data and hashes of their software to the blockchain nodes in order to keep this information distributed and ready to be requested and used. There are also gateways which are the members of the blockchain and the IPFS network. Gateways are responsible for asking for a specific update for specific devices from IPFS database using the meta-data kept on the blockchain, and they will send those hashed secure updates to the devices. In order to provide a traceable data keeping platform, gateway update operations are handled as transactions in a second blockchain network which is the clockchain of the gateways. The system was implemented as of the two separate blockchain networks and it has been shown that, despite the calculation overhead of the member devices, by separating the functions between the two blockchain networks a more reliable and secure platform can be achieved.
  • Conference Object
    Citation - Scopus: 5
    Nfa Based Regular Expression Matching on Fpga
    (IEEE, 2021) Sert, Kamil; Bazlamaçcı, Cüneyt
    String matching is about finding all occurrences of a string within a given text. String matching algorithms have important roles in various real world areas such as web and security applications. In this work, we are interested in solving regular expression matching hence a more general form of string matching problem targeting especially the field of network intrusion detection systems (NIDS). In our work, we enhance a non-deterministic finite automata (NFA) based method on FPGA considerably. We propose to use a matching structure that processes two consecutive characters instead of one in order to yield better memory utilization and provide a novel mapping of this new architecture onto FPGA. The amount of digital circuitry needed to represent the NFA is reduced due to having less number of states and less number of LUTs in the devised 2-character regex matching process. An evaluation study is performed using the well-known Snort rule set and a sizable performance improvement is demonstrated.
  • Conference Object
    Citation - Scopus: 2
    Workload Distribution on Heterogeneous Platforms
    (IEEE, 2021) Alasmar, Mahmoud; Bazlamaçcı, Cüneyt
    This paper targets the problem of finding an efficient distribution of a computational task on a heterogeneous computing platform. The heterogeneity of the processing elements arise due to differences in computation speed and memory capacity of the processors. We first consider using a discrete functional performance model that integrates processing speed and capacity of processing elements and then develop a mathematical model and propose a heuristic mapping algorithm for distributing a given total workload of size N on p processing elements such that the total computation time is minimized. Computational results show that the proposed method provides a significant improvement in reducing the computation time in comparison to equal distribution approach.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 3
    Assessment of Human-Robot Interaction Between Householders and Robotic Vacuum Cleaners
    (IEEE, 2022) Yapıcı, Nur Beril; Tuğlular, Tuğkan; Başoğlu, Ahmet Nuri
    The study presented in this paper investigates the application of the Hybrid Model, which is the combination of the two strategies of the Built-to-Order Model and the Dynamic Eco-strategy Explorer Model, to robotic vacuum cleaners. The Hybrid Model aims to switch the market power from seller-driven perception to buyer-driven one by creating an individual perspective from the eye of users rather than traditional customer segmentation. The human-centered approach established theoretically has been tested with a determined procedure that includes prototyping, testing, and evaluating the proposed customization system for robotic vacuum cleaners to increase the interaction degree with purchasers. In this case, robotic vacuum cleaners have been chosen to implement and assess the hypothesis. Firstly, the successful prototyping of the Hybrid Model requires well customer analysis and habits determination to build well-constructed and coherent interaction between the purchaser and the robot. We utilized a content analysis of robotic vacuum cleaners and elaborative, conventional interviews with early adopters and early majority of this technology in Turkey to establish credible scenarios and product options during the phases of the Hybrid Model practice. The results of the interview were discussed, and the evaluations have been reported.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 2
    Heterogeneous Modeling and Testing of Software Product Lines
    (IEEE, 2021) Belli, Fevzi; Tuğlular, Tuğkan; Ufuktepe, Ekincan
    Software product line (SPL) engineering is a widely accepted approach to systematically realizing software reuse in an industrial environment. Feature models, a centerpiece of most SPL engineering techniques, are appropriate to model the variability and the structure of SPLs, but not their behavior. This paper uses the idea to link feature modeling to model-based behavior modeling and to determine the test direction (top-down or bottom-up) based on the variability binding. This heterogeneous modeling enables a holistic system testing for validating both desirable (positive) and undesirable (negative) properties of the SPL and variants. The proposed approach is validated by a non-trivial example and evaluated by comparison.
  • Conference Object
    Citation - WoS: 3
    Citation - Scopus: 4
    Mikroservisler için İşgücü Kestirimi: Bir Durum Çalışması
    (IEEE, 2021) Ünlü, Hüseyin; Hacaloğlu, Tuna; Leblebici, Onur; Demirörs, Onur
    Software size measurement is critical as an input to perform important project management processes such as effort, cost and schedule estimation. Functional size measurement (FSM) methods are beneficial in terms of being applicable in the early phases of the software life cycle over functional requirements and providing a systematic and repeatable method. However, in agile organizations, it can be challenging to seperate measurement components of FSM methods from requirements in the early phases as the documentation is kept to a minimum compared to traditional methods such as the Waterfall Model and is detailed as the project steps. In addition, the existing FSM methods are not fully compatible with today's architectural structures, which are from being data-driven and to evolve into a behaviour-oriented structure. In this study, we performed a case study which includes a project developed with agile methods and using microservice-based architecture to compare the effectiveness of COSMIC FSM and event-based software size measurement. For this purpose, we measured the size of the project and created effort estimation models based on two methods. The measurers had difficulty in applying both methods due to the limited detail level of the requirements in the project. However, the event-based method was found to estimate effort with less error than the COSMIC FSM method.
  • Conference Object
    Citation - Scopus: 2
    Hibrit Olasılıksal Zamanlama Analizi
    (IEEE, 2021) Bekdemir, Levent; Bazlamaçcı, Cüneyt F.
    Zaman-kritik sistemlerde mevcut güçlüklerin başında bir işin gereken son bitirilme zamanından önce tamamlanacak olmasının garanti edilmesi hususu gelir. Bu amaçla yazılımın tümünün davranışının çözümlenmesi gerekir. En kötü yürütme süresi bir yazılım biriminin olası en yüksek yürütme zamanını temsil eder ve bu metrik zaman-kritik sistemlerin kaynak planlamasında kullanılır. İlgili alandaki yakın zamanlı çalışmalar daha çok istatistiksel yaklaşımlara yer vermiştir. Bunlar, ölçüme dayalı zamanlama analizlerini stokastik yöntemler yardımıyla elde edilen olasılıksal güvenirlik seviyeleriyle tamamlamaktadırlar. En çok kullanılan yöntemlerde, ya uçtan uca ölümleri uç değer teorisi yardımıyla kullanarak ya da küçük program parçacıklarının ölçümlerini evrişim (convolution) teknikleri kullanarak tüm programın üst sınırı belirlenmeye çalışılmaktadır. Her iki yaklaşım da sorunludur. Bu çalışmada bir hibrid olasılıksal zamanlama analiz metodu önerilmektedir. Bu metod ile program yapı taşı olan alt birimler ayrı ayrı ve uç değer teorisi yardımıyla modellenerek en üst değerler yakalanabilmekte, kopulalar kullanarak da birimler arası bağımlılıklar modellenmekte ve sonuçta daha iyi bir sınır değer dağılımı bulunabilmektedir.
  • Conference Object
    Citation - WoS: 5
    Citation - Scopus: 10
    Efficient Search in a Panoramic Image Database for Long-Term Visual Localization
    (IEEE, 2021) Orhan, Semih; Baştanlar, Yalın
    In this work, we focus on a localization technique that is based on image retrieval. In this technique, database images are kept with GPS coordinates and the geographic location of the retrieved database image serves as an approximate position of the query image. In our scenario, database consists of panoramic images (e.g. Google Street View) and query images are collected with a standard field-of-view camera in a different time. While searching the match of a perspective query image in a panoramic image database, unlike previous studies, we do not generate a number of perspective images from the panoramic image. Instead, taking advantage of CNNs, we slide a search window in the last convolutional layer belonging to the panoramic image and compute the similarity with the descriptor extracted from the query image. In this way, more locations are visited in less amount of time. We conducted experiments with state-of-the-art descriptors and results reveal that the proposed sliding window approach reaches higher accuracy than generating 4 or 8 perspective images.