WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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

Browse

Filters

2011 - 201942020 - 20254

Settings

Department: search.filters.department.İzmir Institute of TechnologyPublisher: search.filters.publisher.Institute of Electrical and Electronics Engineers Inc.

Search Results

Now showing 1 - 8 of 8
  • Article
    Citation - WoS: 4
    Citation - Scopus: 3
    Papercraft Doppler Radar Measurements Based on Covariance Eigenvalue Spectrum-Assisted Empirical Mode Decomposition
    (Institute of Electrical and Electronics Engineers Inc., 2025) Onay, Fatih; Onay, Fatih; Karatay, Anil; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    Doppler radar systems encounter challenges due to their high costs, cumbersome designs, and heavy weights, especially in resource-limited environments. As a promising alternative, papercraft Doppler radar has emerged, offering a lightweight, easily deployable and cost-effective solution. However, despite many advantages, papercraft-based radar faces inherent challenges due to the material used, which leads to vulnerability to external stimuli. In this article, a novel method is proposed demonstrating that papercraft Doppler radar can achieve high performance comparable to its aluminum counterparts and perform multitarget detection even in noisy environment with multiple stimuli. For the first time, we integrate a papercraft Doppler radar with the proposed covariance eigenvalue spectrum (CES)-assisted empirical mode decomposition (EMD) method, significantly improving the performance of the papercraft radar system. Single and multitarget detection, exploiting proper intrinsic mode function (IMF) selection, is achieved through the CES algorithm, which distinguishes between the target and unwanted components via proper windowing and weighting of the decomposed radar signal. According to the results, the proposed method significantly enhances multitarget movement detection and outperforms existing methods.
  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Practical and Cost-Effective Approach for Thermal Light Characterization Based on Confined Area Measurements
    (Institute of Electrical and Electronics Engineers Inc., 2025) Dinleyici, Mehmet Salih; Dinleyici, Mehmet Salih; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    Photon statistics and optical coherence measurements are essential in understanding light sources' properties and behaviors. However, the measurement setups require sophisticated detectors with short integration times. Otherwise, the results are indeed time average, which poses a significant challenge, particularly for thermal light sources due to their very short coherence times. In this article, we present a novel, practical, and low-cost measurement procedure for characterizing photon statistics and the second-order coherence function of thermal light using an ordinary charge-coupled device (CCD) camera. We focus on single-pixel analysis through the experiments since measurements of randomly distributed light in a confined region follow Bose-Einstein statistics. This way, the likelihood of averaging during detection is reduced, allowing us to extract statistical information from the spatially distributed intensity values. The outcomes prove the effectiveness of confined area measurements method by overcoming the detector's long exposure time issue.
  • Conference Object
    Community Detection for Large Graphs on GPUs With Unified Memory
    (Institute of Electrical and Electronics Engineers Inc., 2024) Öz, Işıl; Öz, Işıl; Oz, Isil; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    While GPUs accelerate applications from different domains with different characteristics, processing large datasets gets infeasible on target systems with limited device memory. Unified memory support makes it possible to work with data larger than available GPU memory. However, page migration overhead for executions with irregular memory access patterns, like graph processing workloads, induces severe performance degradation. While memory hints help to deal with page movements by keeping data in suitable memory spaces, coarse-grain configurations can still not avoid migrations for executions having diverse data structures. In this work, we target the state-of-the-art CUDA implementation of the Louvain community detection algorithm and evaluate the impacts of the fine-grained unified memory hints on the performance. Our experimental evaluation shows that memory hints configured for specific data structures reveal significant performance improvements and enable us to work efficiently with large graphs.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 3
    Adopting Heterogeneous Computing Modules: Experiences From a Touch Summer Workshop
    (Institute of Electrical and Electronics Engineers Inc., 2022) Bunde, D.P.; Öz, Işıl; Ayloo, S.; Brown-Gaines, T.; Fuentes, J.; Jatala, V.; Yeh, T.Y.; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    We present efforts to encourage the adoption of modules for teaching heterogeneous parallel computing through a faculty development workshop. The workshop was held remotely using a novel format to exploit the advantages of a virtual format and mitigate its disadvantages. Adoption at a wide variety of institutions showed module effectiveness and also gathered feedback leading to several module improvements. We also report on the adoptions themselves, which show the importance of supporting adaptation of the modules for diverse settings. © 2022 IEEE.
  • Conference Object
    Citation - WoS: 2
    Citation - Scopus: 2
    Continuous Robust Task-Space Tracking Control of Robotic Manipulators With Uncertain Dynamics
    (Institute of Electrical and Electronics Engineers Inc., 2015) Cetin, K.; Tatlıcıoğlu, Enver; Zergeroglu, E.; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    In this work, the problem of robust task space control of robotic manipulators with continuous control inputs have been considered. Under mild assumptions on kinematic formulation and dynamics of the robot manipulator, a continuous robust controller have been proposed. The proposed controller ensures asymptotic end-effector tracking despite the presence of unstructured uncertainties associated with the dynamical terms. Numerical simulations conducted on a two degree-of-freedom robot manipulator is also presented to illustrate the feasibility and performance of the proposed controller. © 2015 IEEE.
  • Conference Object
    Citation - WoS: 38
    Citation - Scopus: 57
    Application Areas of Community Detection: a Review
    (Institute of Electrical and Electronics Engineers Inc., 2019) Karatas, A.; Sahin, S.; Şahin, Serap; Karataş, Arzum; 03.04. Department of Computer Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    In the realm of today's real world, information systems are represented by complex networks. Complex networks contain a community structure inherently. Community is a set of members strongly connected within members and loosely connected with the rest of the network. Community detection is the task of revealing inherent community structure. Since the networks can be either static or dynamic, community detection can be done on both static and dynamic networks as well. In this study, we have talked about taxonomy of community detection methods with their shortages. Then we examine and categorize application areas of community detection in the realm of nature of complex networks (i.e., static or dynamic) by including sub areas of criminology such as fraud detection, criminal identification, criminal activity detection and bot detection. This paper provides a hot review and quick start for researchers and developers in community detection area. © 2018 IEEE.
  • Conference Object
    Citation - WoS: 4
    Citation - Scopus: 6
    A Robust Tracking Controller for Dynamically Positioned Surface Vessels With Added Mass
    (Institute of Electrical and Electronics Engineers Inc., 2014) Bidikli, B.; Tatlicioglu, E.; Tatlıcıoğlu, Enver; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology
    This work concentrates on tracking control of dynamically positioned surface vessels with asymmetric added mass terms affecting the system model at the acceleration level. Specifically, we propose a novel continuous robust controller for surface vessels that, in addition to asymmetric added mass in its inertia matrix, contains unstructured uncertainties in all its system matrices. The proposed controller compensates the overall system uncertainties and ensures asymptotic tracking, while requiring only the knowledge of the sign of the leading principle minors of the input gain matrix. Lyapunov based approaches are applied in order to prove the stability of the closed-loop system and asymptotic convergence of the tracking error signal. © 2014 IEEE.
  • Letter
    On a Flexible Window Function for Spectral Analysis
    (Institute of Electrical and Electronics Engineers Inc., 2011) Altinkaya, M.A.; Altınkaya, Mustafa Aziz; 03.05. Department of Electrical and Electronics Engineering; 03. Faculty of Engineering; 01. Izmir Institute of Technology