Department of Electrical and Electronics Engineering, Conference / Seminar

Item Usage Stats

Browse

Search within this collection:

Filters

Entity Type
Publication (1962)
Project (1)

Has File(s)
No (1819)
Yes (144)

Author
Alatan, Abdullah Aydın (152)
Ergül, Özgür Salih (147)
Akın, Tayfun (126)
Külah, Haluk (89)
Orguner, Umut (69)

Subject
Electromagnetic scattering (36)
Testing (34)
Integral equations (31)
MLFMA (31)
Scattering (30)

Date Issued
1987 - 1989 (7)
1990 - 1999 (140)
2000 - 2009 (558)
2010 - 2019 (1188)
2020 - 2021 (70)

Item Type
Conference Paper (1839)
Conference (1)
Presentation (1)

Recent Submissions

Işıma Örüntüsü Şekillendirilebilen Kompakt Mikroşerit Yama Anten Çalışması Çelik, Feza Turgay; Alatan, Lale; Aydın Çivi, Hatice Özlem (2021-09-07) Bu çalışmada ışıma örüntüsü şekillendirilebilir mikroşerit anten tasarımı incelenecektir. Tasarımın amacı ışıma örüntüsünü yükseliş düzleminde +400 ile -400 arasında tarayabilmektir. Anten kare mikroşerit yama antenin iki ...
An Efficient Constrained mm-Wave Hybrid Massive MIMO Beamforming for JSDM based NOMA Bayraktar, Murat; Güvensen, Gökhan Muzaffer (2021-06-01) © 2021 IEEE.Massive MIMO and non-orthogonal multiple access (NOMA) are key technologies for next generation wireless systems due to their distinct advantages. We previously proposed a general framework on unification of co...
An Efficient Iterative SIC for Full-Duplex SC-FDE Radio under Hardware Impairments Kurt, Anıl; Salman, Murat Babek; Satana, Hasan A.; Güvensen, Gökhan Muzaffer (2021-06-01) © 2021 IEEE.In this study, a novel iterative turbo digital self interference cancellation (DSIC) algorithm is proposed to eliminate remaining self interference (SI) signal, which is contaminated by signal of interest (SoI)...
A Nonlinear Detector for Uplink SC-FDE mm-Wave Hybrid Massive MIMO under Hardware Impairments Salman, Murat Babek; Güvensen, Gökhan Muzaffer (2021-06-01) © 2021 IEEE.In this paper, we propose a detector structure for fully connected hybrid massive MIMO systems with transceiver impairments at user equipments. In literature, memoryless compensation of nonlinear effects at the...
Adversarial Attacks on CFO-Based Continuous Physical Layer Authentication: A Game Theoretic Study Sarıtaş, Serkan; Forssell, Henrik; Thobaben, Ragnar; Sandberg, Henrik; Dan, Gyorgy (2021-06-01) © 2021 IEEE.5G and beyond 5G low power wireless networks make Internet of Things (IoT) and Cyber-Physical Systems (CPS) applications capable of serving massive amounts of devices and machines. Due to the broadcast nature o...
Additive Manufactured Matching Medium Design for Implant Communications Habiboglu, Ozum; Akgun, Sila; Cil, Erdem; Aydın Çivi, Hatice Özlem; Dumanli, Sema (2021-03-22) © 2021 EurAAP.The design of matching media with different dielectric constants for the use in implant communications is presented in this paper. Each medium consists of a three-dimensional printed honeycomb structure fille...
Combined Potential-Field Surface Formulations for Resonance-Free and Low-Frequency-Stable Analyses of Three-Dimensional Closed Conductors Eris, Ozgur; Karaova, Gokhan; Ergül, Özgür Salih (2021-03-22) © 2021 EurAAP.We present combined formulations involving the recently developed potential integral equations (PIEs) together with field formulations, particularly the magnetic-field integral equation (MFIE), for accurate, ...
Efficient Computation of Green's Functions for Multilayer Media in the Context of 5G Applications Mittra, Raj; ÖZGÜN, ÖZLEM; Li, Chao; Kuzuoğlu, Mustafa (2021-03-22) © 2021 EurAAP.This paper presents a novel method for effective computation of Sommerfeld integrals which arise in problems involving antennas or scatterers embedded in planar multilayered media. Sommerfeld integrals that n...
End-to-end learned image compression with conditional latent space modeling for entropy coding Yesilyurt, Aziz Berkay; Kamışlı, Fatih (2021-01-24) © 2021 European Signal Processing Conference, EUSIPCO. All rights reserved.The use of neural networks in image compression enables transforms and probability models for entropy coding which can process images based on much...
A Theoretical Analysis of Multi-Modal Representation Learning with Regular Functions Vural, Elif (2021-01-07) Multi-modal data analysis methods often learn representations that align different modalities in a new common domain, while preserving the within-class compactness and within-modality geometry and enhancing the between-cla...
Investigation of Stationarity for Graph Time Series Data Sets Güneyi, Eylem Tuğçe; Vural, Elif (2021-01-07) Graphs permit the analysis of the relationships in complex data sets effectively. Stationarity is a feature that facilitates the analysis and processing of random time signals. Since graphs have an irregular structure, the...
Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video Search Ozkan, Savas; Akar, Gözde (2021-01-01) The cost-effective visual representation and fast query-by-example search are two challenging goals that should be maintained for web-scale visual retrieval tasks on moderate hardware. This paper introduces a fast and robu...
Meta Soft Label Generation for Noisy Labels Algan, Gorkem; Ulusoy, İlkay (2021-01-01) The existence of noisy labels in the dataset causes significant performance degradation for deep neural networks (DNNs). To address this problem, we propose a Meta Soft Label Generation algorithm called MSLG, which can joi...
An Adaptive Converter for Current Neural Stimulators Achieving up to 79% Power Dissipation Reduction Koc, Mert; Chamanian, Salar; Yigit, Halil Andac; ULUŞAN, HASAN; Külah, Haluk (2021-01-01) Power consumption in neural stimulation devices such as cochlear implants, or retinal implants, is an important issue. These devices operate in volume constrained conditions and therefore have a drawback in terms of energy...
Efficient User Grouping for Hybrid Beamforming in Single Carrier Wideband Massive MIMO Channels Kilcioglu, Emre; Güvensen, Gökhan Muzaffer (2021-01-01) In this paper, three types of user grouping algorithms in which our own performance metric is utilized are investigated for single carrier downlink wideband spatially correlated massive MIMO channels by using hybrid beamfo...
DFM: A Performance Baseline for Deep Feature Matching Efe, Ufuk; Ince, Kutalmis Gokalp; Alatan, Abdullah Aydın (2021-01-01) A novel image matching method is proposed that utilizes learned features extracted by an off-the-shelf deep neural network to obtain a promising performance. The proposed method uses pre-trained VGG architecture as a featu...
Self-training Guided Adversarial Domain Adaptation For Thermal Imagery Akkaya, Ibrahim Batuhan; Altinel, Fazil; Halıcı, Uğur (2021-01-01) Deep models trained on large-scale RGB image datasets have shown tremendous success. It is important to apply such deep models to real-world problems. However, these models suffer from a performance bottleneck under illumi...
Quadratic Signaling Games with Channel Combining Ratio Sarıtaş, Serkan; Stavrou, Photios A.; Thobaben, Ragnar; Skoglund, Mikael (2021-01-01) In this study, Nash and Stackelberg equilibria of single-stage and multi-stage quadratic signaling games between an encoder and a decoder are investigated. In the considered setup, the objective functions of the encoder an...
A Nash equilibrium-based moving target defense against stealthy sensor attacks Umsonst, David; Sarıtaş, Serkan; Sandberg, Henrik (2020-12-14) © 2020 IEEE.This paper investigates a moving target defense strategy based on detector threshold switching against stealthy sensor attacks. We model the interactions between the attacker and the defender as a game. While t...
Asymptotic Security of Control Systems by Covert Reaction: Repeated Signaling Game with Undisclosed Belief Sasahara, Hampei; Sarıtaş, Serkan; Sandberg, Henrik (2020-12-14) © 2020 IEEE.This study investigates the relationship between resilience of control systems to attacks and the information available to malicious attackers. Specifically, it is shown that control systems are guaranteed to b...

Citation Formats