Baykaş, Tunçer
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B.,Tuncer
Baykaş, Tunçer
Tunçer Baykaş
Baykaş T.
Baykaş, T.
T. Baykaş
B., Tuncer
Baykas, Tuncer
B., Tunçer
BAYKAŞ, Tunçer
Baykas,T.
Baykaş, TUNÇER
Baykas T.
Baykaş,T.
TUNÇER BAYKAŞ
Tunçer BAYKAŞ
BAYKAŞ, TUNÇER
Tuncer, Baykas
Baykas,Tuncer
Baykaş, Tunçer
Baykaş, Tunçer
Tunçer Baykaş
Baykaş T.
Baykaş, T.
T. Baykaş
B., Tuncer
Baykas, Tuncer
B., Tunçer
BAYKAŞ, Tunçer
Baykas,T.
Baykaş, TUNÇER
Baykas T.
Baykaş,T.
TUNÇER BAYKAŞ
Tunçer BAYKAŞ
BAYKAŞ, TUNÇER
Tuncer, Baykas
Baykas,Tuncer
Baykaş, Tunçer
Job Title
Doç. Dr.
Email Address
Main Affiliation
Electrical-Electronics Engineering
Status
Current Staff
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
SDG data is not available
Documents
130
Citations
2580
h-index
22
Documents
0
Citations
0
Scholarly Output
34
Articles
17
Views / Downloads
246/637
Supervised MSc Theses
1
Supervised PhD Theses
1
WoS Citation Count
211
Scopus Citation Count
283
WoS h-index
6
Scopus h-index
7
Patents
0
Projects
0
WoS Citations per Publication
6.21
Scopus Citations per Publication
8.32
Open Access Source
5
Supervised Theses
2
Google Analytics Visitor Traffic
| Journal | Count |
|---|---|
| 2021 Ieee International Black Sea Conference on Communications and Networking (Ieee Blackseacom) | 2 |
| 2017 25th Signal Processing and Communications Applications Conference (SIU) | 1 |
| 2018 26th Signal Processing and Communications Applications Conference (SIU) | 1 |
| 2018 IEEE Conference on Standards for Communications and Networking (CSCN) | 1 |
| 2019 27th Signal Processing and Communications Applications Conference (SIU) | 1 |
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Now showing 1 - 10 of 34
Article Citation - WoS: 2Citation - Scopus: 2Decoding Rhythmic Complexity: a Nonlinear Dynamics Approach via Visibility Graphs for Classifying Asymmetrical Rhythmic Frameworks of Turkish Classical Music(Elsevier Science inc, 2025) Mirza, Fuat Kaan; Baykas, Tuncer; Hekimoglu, Mustafa; Pekcan, Onder; Tuncay, Gonul PacaciThe non-isochronous, hierarchical rhythmic cycles (usuls) of Turkish Classical Music (TCM) exhibit emergent temporal structures that challenge conventional rhythm analysis based on metrical regularity. To address this challenge, this study presents a complexity-oriented framework for usul classification, grounded in nonlinear time series analysis and network-based representations. Rhythmic signals are processed through energy envelope extraction, diffusion entropy analysis, and spectral transformations to capture multiscale temporal dynamics. Visibility graphs (VGs) are constructed from these representations to encode underlying structural complexity and temporal dependencies. Features derived from VG adjacency matrices serve as complexity-sensitive descriptors and enable high-accuracy classification (0.99) across 40 usul classes and 628 compositions. Energy envelope-derived graphs provide the most discriminative information, highlighting the importance of amplitude modulation in encoding rhythmic structure. Beyond classification, the analysis reveals self-organizing patterns and signatures of complexity, such as quasi-periodicity, scale-dependent variability, and entropy saturation, suggesting that usuls function as adaptive, nonlinear systems rather than metrically constrained patterns. The topological features extracted from the resulting graphs align with theoretical constructs from complexity science, such as modularity and long-range temporal correlations. This positions usul as an exemplary case for studying structured temporal complexity in cultural artifacts through the lens of dynamical systems. These findings contribute to computational rhythm analysis by demonstrating the efficacy of complexity measures in characterizing culturally specific rhythmic systems.Article A Novel Multiscale Graph Signal Processing and Network Dynamics Approach to Vibration Analysis for Stone Size Discrimination via Nonlinear Manifold Embeddings and a Convolutional Self-Attention Model(Springer Wien, 2025) Mirza, Fuat Kaan; Oz, Usame; Hekimoglu, Mustafa; Aydemir, Mehmet Timur; Pural, Yusuf Enes; Baykas, Tuncer; Pekcan, OnderUnderstanding nonlinear dynamics is critical for analyzing the hidden complexities of vibrational behavior in real-world systems. This study introduces a graph-theoretic approach to analyze the complex nonlinear temporal patterns in vibrational signals, utilizing the Tri-Axial Vibro-Dynamic Stone Classification dataset. This dataset captures high-resolution acceleration signals from controlled stone-crushing experiments, providing a unique opportunity to investigate temporal dynamics associated with distinct stone sizes. A 12-level Maximal Overlap Discrete Wavelet Transform is employed to perform multiscale signal decomposition, enabling the construction of transition graphs that encode transient and stable structural characteristics. Conceptually, transition graphs are analyzed as dynamic networks to uncover the interactions and temporal patterns embedded within vibrational signals. These networks are studied using a comprehensive suite of complexity metrics derived from information theory, graph theory, network science, and dynamical systems analysis. Metrics such as Shannon and Von Neumann's entropy evaluate signal dynamics' stochasticity and information retention. At the same time, the spectral radius measures the network's stability and structural robustness. Lyapunov exponents and fractal dimensions, informed by chaos theory and fractal geometry, further capture the degree of nonlinearity and temporal complexity. Complementing these dynamic measures, static network metrics-including the clustering coefficient, modularity, and the static Kuramoto index-offer critical discernment into the network's community structures, synchronization phenomena, and connectivity efficiency. Manifold learning techniques address the high-dimensional feature space derived from complexity metrics, with UMAP outperforming ISOMAP, Spectral Embedding, and PCA in preserving critical data structures. The reduced features are input into a convolutional self-attention model, combining localized feature extraction with long-term sequence modeling, achieving 100% classification accuracy across stone-size categories. This study presents a comprehensive framework for vibrational signal analysis, integrating multiscale graph-based representations, nonlinear dynamics quantification, and UMAP-based dimensionality reduction with a convolutional self-attention classifier. The proposed approach supports accurate classification and contributes to the development of data-driven tools for automated diagnostics and predictive maintenance in industrial and engineering contexts.Conference Object Citation - WoS: 4Citation - Scopus: 5Analysis of Extended Busy Tone Performance for Coexistence Between Wran and Wlan Tvws Networks(IEEE, 2015) Karatalay, Onur; Erküçük, Serhat; Baykaş, TunçerTV White Spaces indicate spectrum bands which were reserved for licensed terrestrial TV broadcasting and opened to unlicensed use under regulatory conditions. One important regulation which is common in all regulatory domains is no harmful interference is created to licensed devices. On the other hand interference between unlicensed devices is not regulated. As a result system designers developed new methods to improve coexistence between TVWS networks. Extended busy tone one of such methods is designed for coexistence between wireless regional area and wireless local area networks based on IEEE 802.22 and 802.11af standards respectively. In this paper we analyse the performance of extended busy tone at different range conditions and verify via simulations under realistic conditions. Our results indicate that the method can reduce interference considerably at intermediate distances and enable networks to operate without a significant reduction in throughput.Conference Object Citation - WoS: 1Busy Tone Based Power Control for Coordination of Iffy 802.11af and 802.22 System(IEEE, 2017) Ülgen, Oğuz; Erküçük, Serhat; Karatalay, Onur; Baykas, TuncerIn this paper, a new power control algorithm based on busy tone approach has been proposed for the coordination of IEEE 802.22 and IEEE 802.11af systems in TV white space. Different from the earlier studies, in addition to both 802.11af access point and clients listening to the busy tone, they also adjust their communication power according to the location information and use hopping for communication, if needed Acccordingly, interference caused to 802.22 systems has been reduced while the 802.11af systems are still able to communicate. This study quantifies the 802.11af and 802.22 system performances in terms of interfering packet rate and succesful packet transmission rate for different scenarios considering the communication parameters and channel models adapted for the standards.Article A Comparative Analysis of Diversity Combining Techniques for Repetitive Transmissions in Time Spreading Scma Systems(John Wiley & Sons Ltd, 2024) Ulgen, Oguz; Tufekci, Tolga Kagan; Sadi, Yalcin; Erkucuk, Serhat; Anpalagan, Alagan; Baykas, TuncerSparse Code Multiple Access (SCMA) is a recently introduced wireless communication network technology. There are various techniques in SCMA systems to increase the system's efficiency, and one of these techniques is time spreading. By adding repetitive transmission and time spreading into SCMA, it is shown in previous works that the Bit-Error-Rate (BER) results are improved convincingly. However, in the previous works, other diversity combining techniques have not been considered. This paper introduces a new approach to further improve the performance of repetitive transmission in SCMA systems with time spreading by adding imperialist competitive algorithm in diversity combining. Alongside, four different combining techniques; equal gain combining, maximal ratio combining, selection combining, and genetic algorithm are considered to bring comparative analysis to show the significance of the new technique. Results show that the proposed method offers up to 2.3 dB gain in terms of BER, under certain conditions.Article Citation - WoS: 4Citation - Scopus: 9IEEE 802.11BB Reference Channel Models for Light Communications(IEEE-Inst Electrical Electronics Engineers Inc, 2023) Miramirkhani, Farshad; Baykas, Tuncer; Elamassie, Mohammed; Uysal, MuratIncreasing industrial attention to visible light communications (VLC) technology led the IEEE 802.11 to establish the task group 802.11bb "Light Communications" (LC) for the development of a VLC standard. As a part of the standard development process, the development of realistic channel models according to possible use cases is of critical importance for physical layer system design. This article presents the reference channel models for the mandatory usage models adopted by IEEE 802.11bb for the evaluation of system proposals. The use cases include industrial, medical, enterprise, and residential scenarios. Channel impulse responses and corresponding frequency responses are obtained for each use case using a ray tracing approach based on realistic specifications for transmitters and receivers, and optical characterization of the environment.Article Citation - WoS: 1Citation - Scopus: 2IEEE 802.19.3 Coexistence Recommendations for IEEE 802.11 and IEEE 802.15.4 Based Systems Operating in Sub-1 GHz Frequency Bands(IEEE-Inst Electrical Electronics Engineers Inc, 2023) Guo, Jianlin; Nagai, Yukimasa; Rolfe, Benjamin A.; Sumi, Takenori; Orlik, Philip; Robert, Joerg; Baykas, TuncerInternet of Things (IoT) applications are rapidly increasing. A broad range of low-power wide-area technologies have been developed in the Sub-1 GHz frequency bands to meet various application requirements. Massive IEEE 802.15.4g based systems have been deployed to provide low to moderate data rate capabilities. IEEE 802.11ah is designed to provide higher data rate capabilities than the data rates of IEEE 802.15.4g. In addition, other Sub-1 GHz band systems, including LoRa and SigFox, are also installed for applications with longer range communication need. There is considerable overlap in use cases targeted by these technologies. Due to the constrained spectrum allocation in the Sub-1 GHz frequency bands, these systems are likely to coexist. Therefore, the coexistence of heterogeneous Sub-1 GHz band wireless technologies becomes an issue to be addressed. Our measurements and simulations reveal significant interference among these systems. Previously the Sub-1 GHz band coexistence is not well addressed. Accordingly, IEEE New Standards Committee and Standard Board formed IEEE 802.19.3 Task Group in December 2018 to develop IEEE 802.19.3 standard for the coexistence of IEEE 802.11ah and IEEE 802.15.4g based systems to guide product deployment. IEEE 802.19.3 standard was published in April 2021. This article summarizes the Sub-1 GHz band systems, spectrum allocation, interference and noise measurements, coexistence issues, and coexistence recommendations presented in IEEE 802.19.3. It aims to introduce IEEE 802.19.3 standard to readers outside of IEEE 802 standard body and to application developers to raise awareness of potential coexistence issues and available coexistence techniques for the better system deployment. In addition, this article presents performance evaluation of the coexistence methods recommended in IEEE 802.19.3.Conference Object Citation - Scopus: 5The Use of Statistical Features for Low-Rate Denial of Service Attack Detection(Institute of Electrical and Electronics Engineers Inc., 2023) Fuladi,R.; Baykas,T.; Anarim,E.Low-rate Denial of Service (LDoS) attacks can significantly reduce the serving capabilities of networks. These attacks involve sending periodic high-intensity pulse data flows, and their harmful effects are like those of traditional DoS attacks. However, LDoS attacks have different attack modes, which make them particularly challenging to detect. The high level of concealment associated with LDoS attacks makes it extremely difficult for traditional DoS detection methods to identify them. This paper explores the potential of using statistical features for LDoS attack detection. The results demonstrate that statistical features can offer promising performance in detecting these types of attacks. Furthermore, through the application of RFE and SHAP analysis, we find that entropy and L-moment-based features play a crucial role in detection. These findings provide important insights into the use of statistical features for network security, which can help to enhance the overall resilience of networks against various types of attacks. © 2023 IEEE.Article Citation - WoS: 3Citation - Scopus: 4Busy Tone Based Coexistence Algorithm for Wran and Wlan Systems in Tv White Space(Inst Engineering Technology-IET, 2018) Karatalay, Onur; Erküçük, Serhat; Baykaş, TunçerTV White Space (TVWS) refers to frequency band reserved only for licensed terrestrial TV broadcasting and is opened to unlicensed use under regulatory conditions. While regulations protect licensed systems from interference interference among unlicensed systems is left mainly to manufacturers. Consequently there is a need to develop new coexistence approaches between TVWS networks. Busy tone broadcasting is a coexistence method which can be used by TVWS networks to announce the selected frequency band is occupied. In this paper a busy tone based coexistence algorithm is proposed for IEEE 802.11af and IEEE 802.22 networks and analyzed by considering different client distributions experiencing log-normal shadowing where the exact interfering packet rate and successful packet transmission rate expressions are obtained and validated by simulations for different scenarios. The results show that with the proposed coexistence approach a WLAN can reliably detect the busy tone signal to change its frequency band and can reduce interference to WRAN. Even if there is no available frequency band for the WLAN the WRAN still maintains its enhanced successful packet transmission performance. The deployment of the proposed algorithm is important for successful coexistence between cognitive wireless networks where interference is not regulated such as in TVWS bands.Master Thesis Scma Sistemlerinin Performans İncelemeleri(2023) Tüfekçi, Tolga Kağan; Baykaş, TunçerSürekli yükselen; veri hızı, düşük gecikme, spektral verimlilik ve veri hacmi ihtiyaçlarını karşılayabilmek adına yeni haberleşme yöntemleri geliştirilmektedir. Seyrek Kodlu Çoklu Erişim (Sparse Code Multiple Access - SCMA) bu tekniklerin arasında yer almaktadır. SCMA, dikgen olmayan çoklu erişim (Non-orthogonal Multiple Access - NOMA) yöntemidir. SCMA ile farklı kullanıcılar aynı frekans kaynaklarına atanmasından dolayı spektral verimlilik arttırılır. Her kullanıcıya; seyrek, çok boyutlu ve kompleks değerli kod kitapları atanır, bu sebeple SCMA sistemlerinin performansı da kod kitaplarının kalitesine bağlıdır. Bu tezde; SCMA sistemlerinin farklı senaryolar altındaki performansları incelenmiştir bunlar, 1) Hızlı Sönümlenen Rayleigh Kanallarının etkisi incelenmiş ve bu kanal tipinin SCMA performansındaki negatif etkileri azaltabilmek adına Hızlı Mesaj İletim Algoritması (High-Rate MPA) önerilmiştir. 2) Dikgen ve dikgen olmayan pilot sekansları ve bu sekanslardan yola çıkarak En Küçük Kareler Kestirimi (Least Squares Estimation) yapılmıştır. 3) Simgelerarası Karışmanın (Intersymbol Interference - ISI), SCMA sistemleri üzerindeki etkisi ve PN Sekanslarının üretimi ve kullanımı incelenmiştir. 4) Literatürde bulunan farklı kod kitaplarının SCMA sistemlerindeki performansı incelenmiş ve ayrıca Genetik Algoritma tabanlı bir kod kitabının tasarımı ve yine etkisi incelenmiştir.
