Детальный поиск
Отменить
Найденный: 6 Экземпляр 0.000 sn
- Вы можете использовать опцию И / ИЛИ / НЕ для критериев, которые вы хотите добавить или.
- Вы можете вернуться к обычному поиску, нажав кнопку Отмена.
Фильтры
Фильтры
Найденный: 6 Экземпляр 0.000 sn
Год публикации : 2021 ✕Базы данных : IEEE Xplore ✕
Коллекция [1]
Ученые [3]
Устойчивое развитие ООН [3]
Факультет / Институт [1]
Вид публикации [2]
Год публикации [1]
Язык [1]
Источник [5]
Базы данных [3]
Вид индекса [3]
Издатель [1]
Кафедра [2]
Национальный/Международный [1]
Тематический рубрикатор [35]
Доступ к файлам

Identifying the Cybercrime Awareness of Undergraduate and Postgraduate Students: Example of Kazakhstan

Rita İSMAİLOVA

Cybercrime is the offense related to the ethical and legal violation of the computer and IT system, a threat to the security of information systems, and abuse of the Internet platform. It is committed through the Internet or computer systems. Its direct and indirect results disrupt the flow of technological infrastructure. Gaining the knowledge or skills related to the types and content of the cybercrimes is an essential prerequisite in the digital era. Thus, it is very significant to raise the awareness of the younger generation, who will shape the future of societies. In accordance with this ...Более

Доклады конференции 2021 Mühendislik Fakültesi 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST) 11 Просмотры
Доступ к файлам

Predictive Compensation of EAF Flicker, Voltage Dips Harmonics and Interharmonics Using Deep Learning

Özgül SALOR-DURNA

In this research work, deep machine learning based methods together with a novel data augmentation are developed for predicting flicker, voltage dip, harmonics and interharmonics originating from highly time-varying electric arc furnace (EAF) currents and voltage. The aim with the prediction is to counteract both the response time delays and reaction time delays of active power filters (APFs) specifically designed for electric arc furnaces (EAF). Multiple synchronous Reference frame (MSRF) analysis is used to decompose the frequency components of the EAF current and voltage waveforms into dqo ...Более

Доклады конференции 2021 Mühendislik Fakültesi IEEE Industry Applications Society Annual Meeting 69 Просмотры
Доступ к файлам

Harmonic Contribution Detection of Iron and Steel Plants Based on Correlation of Time-Synchronized Current and Voltage Signals

Özgül SALOR-DURNA

In this paper, the problem of detecting the harmonic responsibility of iron and steel (I&S) plants, which are supplied from a point of common coupling (PCC) is addressed. A new harmonic responsibility measure, which does not require the instantaneous impedance measurements, is proposed to present the amount of harmonic responsibility of each plant supplied from the PCC. The algorithm is based primarily on the correlation of voltage and current signals which are measured with a time-synchronized manner at the PCC. The proposed method is first verified using both synthetic data generated in PSCA ...Более

Доклады конференции 2021 Mühendislik Fakültesi IEEE Industry Applications Society Annual Meeting 37 Просмотры
Доступ к файлам

Graphical Method for Examining Complex Natural Frequencies of Dispersive Materials

Mehmet ERTUĞRUL

A graphical method is extended to and applied for visual inspection of solution patterns (region of complex natural frequencies sn) in the complex s-plane for dispersive materials characterized by the Debye and Lorentz models. These patterns are in the form of exponential decay and C-shaped profiles for the Debye and Lorentz models, respectively. Their forms are observed to be affected (e.g., moving left/right) in different manners with a variation of dispersion parameters. This method, thanks to its visual inspection capability, can help in analyzing/synthesizing filters and frequency-selecti ...Более

Статья 2021 Mühendislik Fakültesi IEEE Microwave and Wireless Components Letters31 ( 5 ) 132 Просмотры
Доступ к файлам

Statistical Models of EAF Harmonics Developed for Harmonic Estimation Directly from Waveform Samples Using Deep Learning Framework

Özgül SALOR-DURNA

In this research work, a deep learning (DL)-based method for the fast and accurate analysis of current harmonics of electric arc furnaces (EAF) is proposed. For such a system, a large amount of EAF current data is required for the training phase of the DL-based structure, which is not only a thorny but also an expensive procedure. Hence, the second focus of this research work is to gain the ability to generate EAF currents with realistic harmonic contents based on a much smaller amount of field data of EAF currents. For this purpose, EAF current data, recorded at a transformer substation suppl ...Более

Статья 2021 Mühendislik Fakültesi IEEE Transactions on Industry Applications57 ( 6 ) 54 Просмотры
Доступ к файлам

Complex Permittivity and Thickness Evaluation of Low-Loss Dielectrics From Uncalibrated Free-Space Time-Domain Measurements

Mehmet ERTUĞRUL

A free-space time-domain method is proposed to retrieve dielectric constant (epsilon r), conductivity (sigma e), and thickness (d) of metal-backed low-loss dielectric samples using calibration-independent reflected power peak measurements. Its algorithm is validated by numerical calculations and simulations (CST Microwave Studio) using a sine-modulated Gaussian window. A sensitivity analysis is followed to examine its performance considering the dependencies of reflected power peaks with respect to epsilon r and sigma e. Free-space time-domain measurements have been implemented after transform ...Более

Статья 2021 Mühendislik Fakültesi IEEE Transactions on Geoscience and Remote Sensing60 ( Published online: 02 July 2021 ) 108 Просмотры
Наши обязательства и политика в отношении файлов cookie подпадает под действие закона ТР защите персональных данных № 6698.
Да
creativecommons
Bu site altında yer alan tüm kaynaklar Creative Commons Alıntı-GayriTicari-Türetilemez 4.0 Uluslararası Lisansı ile lisanslanmıştır.
Platforms