Tunçer Baykaş

Baykaş, Tunçer

Name Variants

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

Job Title

Doç. Dr.

Email Address

tuncer.baykas@khas.edu.tr

Main Affiliation

Electrical-Electronics Engineering

Sustainable Development Goals Report Points

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Scholarly Output

33

Articles

13

Citation Count

150

Supervised Theses

2 Scholarly Output Search Results

Now showing 1 - 10 of 30

Citation - Scopus: 2
Busy Tone Implementation for Coexistence of Ieee 802.22 and 802.11af Systems
(Institute of Electrical and Electronics Engineers Inc., 2015) Karatalay, O.; Baykaş, Tunçer; Erküçük, S.; Erküçük, Serhat; Baykaş, T.; Electrical-Electronics Engineering
In this paper, a new algorithm based on busy tone approach has been proposed for the coexistence of IEEE 802.22 and IEEE 802.11af systems in TV white space. Different from the earlier study, in addition to 802.11af access points listening to the busy tone signal, their clients also listen to the busy tone and let the access points know once they hear it. Accordingly, interference caused to 802.22 systems has been reduced. This study quantifies the improved system performance in terms of interfering packet rate for different hearing regions considering the communication parameters and channel models adapted for the standards. © 2015 IEEE.
Citation - WoS: 1
Busy Tone Implementation for Coexistence of Ieee 802.22 and 802.11 Af Systems
(IEEE, 2015) Karatalay, Onur; Baykaş, Tunçer; Erküçük, Serhat; Erküçük, Serhat; Baykaş, Tunçer; Electrical-Electronics Engineering
In this paper a new algorithm based on busy tone approach has been proposed for the coexistence of IEEE 802.22 and IEEE 802.11af systems in TV white space. Different from the earlier study in addition to 802.11af access points listening to the busy tone signal their clients also listen to the busy tone and let the access points know once they hear it. Accordingly interference caused to 802.22 systems has been reduced. This study quantifies the improved system performance in terms of interfering packet rate for different hearing regions considering the communication parameters and channel models adapted for the standards.
Citation - WoS: 0
Citation - Scopus: 1
Analysis and Optimization of the Network Throughput in IEEE 802.15.13 based Visible Light Communication Networks
(IEEE, 2021) Baykaş, Tunçer; Elamassie, Mohammed; Baykas, Tuncer; Uysal, Murat; Electrical-Electronics Engineering
In line with the growing interest on visible light communication (VLC), IEEE has initiated standardization efforts on this emerging technology. In this work, we consider IEEE 802.15.13 Optical Wireless Personal Area Networks (OWPAN) standard draft. The underlying MAC protocol uses contention free and contention access periods. For a standard-compliant VLC network, we analyze the network load and propose an algorithm to improve the network throughput by proper selection of period lengths. Our suggested algorithm improves the network performance by at least 5% in the case of variable network traffic up to 15 active users.
Citation - WoS: 1
Citation - Scopus: 1
An Integrated Molecular Communication System Based on Acoustic Tweezers
(IEEE-Inst Electrical Electronics Engineers Inc, 2023) Baykaş, Tunçer; Pusane, Ali Emre; Baykas, Tuncer; Electrical-Electronics Engineering
In this work, a molecular communication link integrated with a micro-electro mechanical system (MEMS) based environment has been designed and simulated. The motivation behind this approach is to explore the possibility of merging acoustic tweezing technique with a molecular communication system to increase the accuracy and reliability of the overall communication link. The proposed design is simulated using finite element methods that mimic the actual environment for an accurate solution. We derive symbol error rate as a performance metric and further show that the proposed system outperforms the diffusion-based modulation techniques and facilitates a reliable communication in the presence of fluid flow and while being insusceptible to external factors.
Citation - WoS: 4
Citation - Scopus: 4
The Use of Statistical Features for Low-Rate Denial-Of Attack Detection
(Springer int Publ Ag, 2024) Fuladi, Ramin; Baykaş, Tunçer; Baykas, Tuncer; Anarim, Emin; Electrical-Electronics Engineering
Low-rate denial-of-service (LDoS) attacks can significantly reduce network performance. These attacks involve sending periodic high-intensity pulse data flows, sharing similar harmful effects with traditional DoS attacks. However, LDoS attacks have different attack modes, making detection particularly challenging. The high level of concealment associated with LDoS attacks makes them extremely difficult to identify using traditional DoS detection methods. In this paper, we explore the potential of using statistical features for LDoS attack detection. Our results demonstrate the promising performance of statistical features in detecting these attacks. Furthermore, through ANOVA, mutual information, RFE, and SHAP analysis, we find that entropy and L-moment-based features play a crucial role in LDoS attack detection. These findings provide valuable insights into utilizing statistical features enhancing network security, thereby improving the overall resilience and stability of networks against various types of attacks.
Citation - WoS: 1
Citation - Scopus: 2
A New Approach for Coexistence of Ieee 802.11af and Ieee 802.22 Systems
(Institute of Electrical and Electronics Engineers Inc., 2018) Ulgen, Oguz; Baykaş, Tunçer; Baykaş, Tunçer; Erküçük, Serhat; Erküçük, Serhat; Electrical-Electronics Engineering
In this paper various algorithms are proposed to help IEEE 802.11af and IEEE 802.22 wireless systems to coexist in TV white space by considering multiple techniques. By using busy tone power control and multihop communication techniques improvements have been made compared to prior approaches. With this approach while IEEE 802.22 systems are protected from intra-network interference IEEE 802.11af systems are still able to continue transmitting packets. Considering the communication parameters and channel models compliant for the standards IEEE 802.11af and IEEE 802.22 system performances are investigated in terms of interfering packet rate and successful packet transmission rate for different scenarios and the improved results are presented. © 2018 IEEE.
Citation - WoS: 0
Citation - Scopus: 0
Performance of Scma Systems in Fast-Fading Channels
(Ieee, 2022) Erküçük, Serhat; Baykaş, Tunçer; Erkucuk, Serhat; Baykas, Tuncer; Electrical-Electronics Engineering
In order to satisfy the need for high data rate and high number of users, new generation communication techniques are developed. One of the techniques that may be used in future generation communication networks is Sparse Code Multiple Access (SCMA). With this new technique, the aim is to allocate users frequency resources in a non-orthogonal way by using code books. For this new technique, which is has a potential to be used in 5G and beyond communication networks, most researches have focused on flat fading channels and related results have been provided. In this work, different from earlier studies, fast fading channels have been considered for channels varying at different rates, and bit-error performance results have been provided with computer simulations.
Citation - WoS: 0
Citation - Scopus: 2
Decoding Compositional Complexity: Identifying Composers Using a Model Fusion-Based Approach With Nonlinear Signal Processing and Chaotic Dynamics
(Pergamon-elsevier Science Ltd, 2024) Mirza, Fuat Kaan; Baykaş, Tunçer; Baykas, Tuncer; Hekimoğlu, Mustafa; Hekimoglu, Mustafa; Pekcan, Mehmet Önder; Pekcan, Onder; Tuncay, Gonul Pacaci; Industrial Engineering; Electrical-Electronics Engineering; Molecular Biology and Genetics
Music, a universal medium that effortlessly transcends the confines of language and culture, serves as a vessel for the distinctive expression of a composer's ingenuity, particularly palpable through the elaborate symphony of melodies, harmonies, and rhythms. This phenomenon is acutely observable in the realm of Turkish Classical Music, where the identification of individual composers poses a formidable challenge due to a confluence of diverse stylistic expressions and sophisticated techniques. Shaped by centuries of cultural interchanges, this genre is celebrated for its convoluted rhythmic frameworks and deep melodic modes, often exhibiting fractal characteristics that compound the complexity of composer classification based on mere audio signals. In response to these complexities, this study introduces an advanced analytical paradigm that amalgamates Multi-resolution analysis, spectral entropy assessments, and a spectrum of multidimensional chaotic and statistical descriptors. By invoking chaos theory, the research delineates distinct patterns and features inherent to musical compositions, subsequently deploying these discoveries for composer categorization. Employing a model fusion-based strategy, the approach utilizes esteemed base estimators for section-level probabilistic determinations, subsequently amalgamated at the song level through a Long Short-Term Memory (LSTM) neural network model to classify a corpus of 380 compositions from 15 distinct composers. The results of this study not only highlight the efficacy of chaos-based approaches in Musical Information Retrieval but also provide a nuanced understanding of the unique characteristics of Turkish Classical Music, thus advancing the boundaries of how musicological data is scrutinized and conceptualized within scholarly discourse.
Citation - WoS: 0
Citation - Scopus: 1
Hybrid Mems-Based Molecular Communication System
(Institute of Electrical and Electronics Engineers Inc., 2019) Erküçük, Serhat; Baykaş, Tunçer; Baykaş, Tunçer; Erküçük, Serhat; Zeshan, Arooba; Pusane, Ali Emre; Electrical-Electronics Engineering
In this paper, we consider a molecular communication link integrated in a micro-electro mechanical system (MEMS) based environment. We apply acoustic tweezing techniques to the molecular communication system to increase communication reliability. We use finite element methods to simulate this hybrid system. By deriving the symbol error rate as the performance metric, we show that the proposed system facilitates reliable communication in the presence of fluid flow and its performance is robust against external factors, such as temperature.
Citation - WoS: 5
Citation - Scopus: 7
Residual Lstm Neural Network for Time Dependent Consecutive Pitch String Recognition From Spectrograms: a Study on Turkish Classical Music Makams
(Springer, 2023) Mirza, Fuat Kaan; Baykaş, Tunçer; Gursoy, Ahmet Fazil; Hekimoğlu, Mustafa; Baykas, Tuncer; Pekcan, Mehmet Önder; Hekimoglu, Mustafa; Pekcan, Onder; Industrial Engineering; Electrical-Electronics Engineering; Molecular Biology and Genetics
Turkish classical music, characterized by 'makam', specific melodic configurations delineated by sequential pitches and intervals, is rich in cultural significance and poses a considerable challenge in identifying a musical piece's particular makam. This identification complexity remains an issue even for experienced musical experts, emphasizing the need for automated and accurate classification techniques. In response, we introduce a residual LSTM neural network model that classifies makams by leveraging the distinct sequential pitch patterns discerned within various audio segments over spectrogram-based inputs. This model's design uniquely merges the spatial capabilities of two-dimensional convolutional layers with the temporal understanding of one-dimensional convolutional and LSTM mechanisms embedded within a residual framework. Such an integrated approach allows for detailed temporal analysis of shifting frequencies, as revealed in logarithmically scaled spectrograms, and is adept at recognizing consecutive pitch patterns within segments. Employing stratified cross-validation on a comprehensive dataset encompassing 1154 pieces spanning 15 unique makams, we found that our model demonstrated an accuracy of 95.60% for a subset of 9 makams and 89.09% for all 15 makams. Our approach demonstrated consistent precision even when distinguishing makam pairs known for their closely related pitch sequences. To further validate our model's prowess, we conducted benchmark tests against established methodologies found in current literature, providing a comparative assessment of our proposed workflow's abilities.