Turkish Journal of Electrical Engineering and Computer Sciences最新文献

A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms YOLO 模型与基于变压器的 YOLOv5 模型在乳房 X 射线照片质量检测方面的比较研究

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4048

Damla Coşkun, D. Karaboğa, Alper Bastürk, B. Akay, Ö. U. Nalbantoğlu, Serap Doğan, Ishak Pacal, Meryem Altin Karagöz

引用次数: 0

LSAV: Lightweight source address validation in SDN to counteract IP spoofing-based DDoS attacks LSAV：SDN 中的轻量级源地址验证，抵御基于 IP 欺骗的 DDoS 攻击

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4042

Ali Karakoç, Fati̇h Alagöz

{"title":"LSAV: Lightweight source address validation in SDN to counteract IP spoofing-based DDoS attacks","authors":"Ali Karakoç, Fati̇h Alagöz","doi":"10.55730/1300-0632.4042","DOIUrl":"https://doi.org/10.55730/1300-0632.4042","url":null,"abstract":": In this paper, we propose a design to detect and prevent IP spoofing-based distributed denial of service (DDoS) attacks on software-defined networks (SDNs). DDoS attacks are still one of the significant problems for internet service providers (ISPs) and individual users. These attacks can disrupt customer services by targeting the availability of the system, and in some cases, they can completely shut down the target infrastructure. Protecting the system against DDoS attacks is therefore crucial for ensuring the reliability and availability of internet services. To address this problem, we propose a lightweight source address validation (LSAV) framework that leverages the flexibility of SDN architecture in ISP networks and employs a lightweight filtering mechanism that considers the cost of operation to maintain high performance. Our setup for the proposed mechanism reflects client–server communication through an ISP SDN, and we use the entry points to eliminate malicious user requests targeting the systems. We then propose a novel algorithm on top of this setup to introduce a new and more eﬀicient approach to existing mitigation methodologies. In addition to filtering the traﬀic against IP spoofing-based DDoS attacks, LSAV also prioritizes low resource consumption and high performance in terms of delay and bandwidth. With this approach, we believe that ISPs can effectively defend against IP spoofing-based DDoS attacks while still preserving low resource consumption for the infrastructure and high-quality internet services for their customers.","PeriodicalId":49410,"journal":{"name":"Turkish Journal of Electrical Engineering and Computer Sciences","volume":"23 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139207830","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FuzzyCSampling: A Hybrid fuzzy c-means clustering sampling strategy for imbalanced datasets FuzzyCSampling：不平衡数据集的混合模糊 c-means 聚类采样策略

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4044

Abdullah Maraş, Çiğdem Selçukcan Erol

{"title":"FuzzyCSampling: A Hybrid fuzzy c-means clustering sampling strategy for imbalanced datasets","authors":"Abdullah Maraş, Çiğdem Selçukcan Erol","doi":"10.55730/1300-0632.4044","DOIUrl":"https://doi.org/10.55730/1300-0632.4044","url":null,"abstract":": Classification model with imbalanced datasets is recently one of the most researched areas in machine learning applications since they induce to the emergence of low-performing machine learning models. The imbalanced datasets occur if target variables have an uneven number of examples in a dataset. The most prevalent solutions to imbalanced datasets can be categorized as data preprocessing, ensemble techniques, and cost-sensitive learning. In this article, we propose a new hybrid approach for binary classification, named FuzzyCSampling, which aims to increase model performance by ensembling fuzzy c-means clustering and data sampling solutions. This article compares the proposed approaches’ results not only to the base model built on an imbalanced dataset but also to the previously presented state-of-the-art solutions undersampling, SMOTE oversampling, and Borderline Smote Oversampling. The model evaluation metrics for the comparison are accuracy, roc_auc score, precision, recall and F1-score. We evaluated the success of the brand-new proposed method on three different datasets having different imbalanced ratios and for three different machine learning algorithms (k-nearest neighbors algorithm, support vector machines and random forest). According to the experiments, FuzzyCSampling is an effective way to improve the model performance in the case of imbalanced datasets.","PeriodicalId":49410,"journal":{"name":"Turkish Journal of Electrical Engineering and Computer Sciences","volume":"11 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139198658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A practical low-dimensional feature vector generation method based on wavelet transform for psychophysiological signals 基于心理生理信号小波变换的实用低维特征向量生成方法

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4041

Erdem Erkan, Yasemin Erkan

{"title":"A practical low-dimensional feature vector generation method based on wavelet transform for psychophysiological signals","authors":"Erdem Erkan, Yasemin Erkan","doi":"10.55730/1300-0632.4041","DOIUrl":"https://doi.org/10.55730/1300-0632.4041","url":null,"abstract":": High-dimensional feature vectors entail computational cost and computational complexity. However, a successful classification can be obtained with an optimally sized feature vector consisting of distinctive features. With the widespread use of the internet and mobile devices, the need for systems with low computational costs is increasing day by day. In this study, starting from the idea that each motor imagery is represented as a subject-specific pattern in the brain, we propose a new and practical method that can generate a low-dimensional feature vector based on wavelet transform. The feature vector is obtained from the correlation between each trial and each class average. To investigate the effect of possible temporal shifts in the trial signals, the proposed method is analyzed with signal segments with different starting points and lengths. The effect of these signal segments on classification is shown. The proposed feature extraction approach is tested on two different datasets and the classification results are presented in comparison with previous studies. With the method proposed in this study, much lower-dimensional feature vectors are obtained compared to previous studies and very satisfactory results are obtained. It is observed that EEG signals related to motor imagery in the brain have a subject-specific pattern, and this pattern is successfully classified with a feature vector consisting of only 1 feature per class.","PeriodicalId":49410,"journal":{"name":"Turkish Journal of Electrical Engineering and Computer Sciences","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139199285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

New modified carrier-based level-shifted PWM control for NPC rectifiers considered for implementation in EV fast chargers 考虑在电动汽车快速充电器中采用新的改进型载波电平偏移 PWM 控制 NPC 整流器

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4046

Merve Mollahasanoglu, Hakki Mollahasanoglu, H. Okumus

{"title":"New modified carrier-based level-shifted PWM control for NPC rectifiers considered for implementation in EV fast chargers","authors":"Merve Mollahasanoglu, Hakki Mollahasanoglu, H. Okumus","doi":"10.55730/1300-0632.4046","DOIUrl":"https://doi.org/10.55730/1300-0632.4046","url":null,"abstract":": In this study, the aim is to evaluate three-phase (3 ϕ ) AC/DC neutral point-clamped (NPC) power factor-corrected (PFC) multilevel converter performance for electric vehicle (EV) fast chargers. Power factor correction for EV fast chargers is very important in terms of eﬀicient power usage and charger compatibility with the grid. Multilevel converters improve charging eﬀiciency, reduce voltage stresses on components, minimize electromagnetic interference, and support high power capabilities. For this reason, multilevel converters with the PFC feature contribute to the reliable and effective operation of the fast-charging infrastructure. Rectifier analysis is tested with extensive simulations using a new modified carrier-based level-shifted pulse-width modulation (PWM) technique. The results obtained are in accordance with international standards. The proposed PWM technique provides low voltage regulation, low total harmonic distortion input current, unit input power factor, and a well-regulated DC bus voltage for the NPC rectifier in fast charging systems, and the system has high eﬀiciency. In addition, the modulation method eliminates the need for an additional PFC circuit. The system demonstrates remarkable success in addressing critical parameters such as capacitor voltage balance. This modified carrier-based PWM is highly successful for NPC rectifiers designed for DC fast chargers, rated for power up to 300 kW. The simulation results of the DC fast charger system demonstrate the validity and flexibility of the proposed carrier-based level-shifted PWM method","PeriodicalId":49410,"journal":{"name":"Turkish Journal of Electrical Engineering and Computer Sciences","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139198358","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A novel computing scheme based on pattern matching for identification of nephron loss and chronic kidney disease stage 基于模式匹配的新型计算方案，用于识别肾小球缺失和慢性肾病分期

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4045

Rehan Ahmad, Basant Mohanty

引用次数: 0

Exploring the impact of training datasets on Turkish stance detection 探索训练数据集对土耳其语姿态检测的影响

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4043

Muhammed Said Zengin, Berk Utku Yeni̇sey, Mucahid Kutlu

{"title":"Exploring the impact of training datasets on Turkish stance detection","authors":"Muhammed Said Zengin, Berk Utku Yeni̇sey, Mucahid Kutlu","doi":"10.55730/1300-0632.4043","DOIUrl":"https://doi.org/10.55730/1300-0632.4043","url":null,"abstract":": Stance detection has garnered considerable attention from researchers due to its broad range of applications, including fact-checking and social computing. While state-of-the-art stance detection models are usually based on supervised machine learning methods, their effectiveness is heavily reliant on the quality of training data. This problem is more prevalent in stance detection task because the stance of a text is intimately tied to the target under consideration. While numerous datasets exist for stance detection, determining their suitability for a specific target can be challenging. In this work, we focus on Turkish stance detection and explore the impact of training data on the model performance. In particular, we fine-tune BERT model with various datasets and assess their performance when the test data is the same/different compared to the training data in terms of target and domain. In addition, given the scarcity of resources for Turkish stance detection, we investigate i) whether we can use existing datasets in other languages in a cross-lingual setup, and ii) the effectiveness of data augmentation with simple automatic labeling methods. In order to conduct our experiments, we also create new Turkish stance detection datasets for various targets in different domains. In our comprehensive experiments, our findings are as follows. 1) Using training data with multiple targets in the same domain yields high performance as the model is able to learn more characteristics of expressing stance with additional data. 2) The domain of the training data plays a crucial role in achieving high performance. 3) Automatically generated data enhances performance when combined with manually annotated data. 4) Training solely on Turkish data outperforms training with the combination of Turkish and English data. Overall, our study points out the importance of creating Turkish annotated datasets for different domains to achieve high performance in stance detection.","PeriodicalId":49410,"journal":{"name":"Turkish Journal of Electrical Engineering and Computer Sciences","volume":"202 ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139202753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning based bioinformatics analysis of intron usage alterations and metabolic regulation in adipose browning 基于机器学习的生物信息学分析脂肪褐变中内含子用法的改变和代谢调控

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4049

Hamza Umut Karakurt, Pinar Pi̇r

引用次数: 0

Charge transfer evaluation in solid insulating materials encapsulating the gaseous voids of submillimeter dimensions using transmission line method 利用传输线法评估封装亚毫米级气态空隙的固体绝缘材料中的电荷转移情况

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4040

Amin Shamsi, A. Ganjovi, Amirabbas Shayegani Akmal

{"title":"Charge transfer evaluation in solid insulating materials encapsulating the gaseous voids of submillimeter dimensions using transmission line method","authors":"Amin Shamsi, A. Ganjovi, Amirabbas Shayegani Akmal","doi":"10.55730/1300-0632.4040","DOIUrl":"https://doi.org/10.55730/1300-0632.4040","url":null,"abstract":": In this work, using a lumped RC circuit model which is based on transmission line modeling (TLM) method, the charge transfer in a solid insulating system encapsulating a gaseous void of submillimeter dimensions is evaluated. Here, both the dielectric material and gaseous void are considered simultaneously as a transmission line. The transmission line includes the capacitive and resistance elements and, the obtained circuit equations were coupled with the continuity and kinetic energy equations for charged species along with Poisson’s equation. These equations are solved via 4th order Runge-Kutta method and, the electric field and potential, density of all the charged species, discharge current and electron temperature are calculated in the gaseous media. Hence, the discharge propagation in the gaseous void and its mutual influences on dielectric medium are described. The partially penetration of electrons in the avalanche head into the anode dielectric bulk is shown, and it is observed that their movements towards the electrodes are much faster than ions. Besides, the total transferred charge particles at both the avalanche and streamer phases in the void is calculated. Besides, it was found that, the electrons temperature distribution completely influenced by electric field in the gaseous void. In addition, the effects of voids thickness and their location on the discharge current are examined. It is shown that, at the higher void thicknesses and for the cavities locating in the electrodes adjacent, the magnitude of discharge current increases","PeriodicalId":49410,"journal":{"name":"Turkish Journal of Electrical Engineering and Computer Sciences","volume":"1 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139207855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Feature selection optimization with filtering and wrapper methods: two disease classification cases 使用过滤和包装方法优化特征选择：两个疾病分类案例

IF 1.1 4区计算机科学

Turkish Journal of Electrical Engineering and Computer Sciences Pub Date : 2023-11-30 DOI: 10.55730/1300-0632.4050

Serhat Ati̇k, Tuǧba Dalyan

引用次数: 0