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4th International Applied Computational Electromagnetics Society Symposium in China, ACES-China 2021

作者： Zhao, Bing-Xiong Guo, Jian-Hui Wong, Sai-Wai Xie, Ze-Ming Zhang, Long Zhu, Lei He, Yejun College of Electronic and Information Engineering Shenzhen University Shenzhen China College of Electronic and Information Engineering South China University of Technology Guangzhou China University of Macau Faculty of Science and Technology Department of Electrical and Computer Engineering China

ISBN: (纸本)9781733509619

This paper present a compact and highly-selective planar triple-band bandpass filter. This filter consists of two pairs of quarter-wavelength short-circuited resonators and a dual-mode resonator. And one pair of short-circuited resonators is embedded in the other pair. The two pairs of short-circuited resonators form the first and second passband, and the dual-mode resonator which used to form the third passband. Moreover, due to the existence of hybrid electromagnetic coupling and source-load coupling, there is a transmission zero on both sides of each passband of the filter. At last, this filter is manufactured and measured, and the mensuration results agree well with the simulation results. © 2021 Applied Computational Electromagnetics Society (ACES).

关键词： Bandpass filters

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Deep Coupling Network For Multivariate Time Series Forecasting

arXiv

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arXiv 2024年

作者： Yi, Kun Zhang, Qi He, Hui Shi, Kaize Hu, Liang An, Ning Niu, Zhendong School of Computer Science Beijing Institute of Technology no. 5 Zhongguancun South Street Haidian Beijing100081 China School of Electronic and Information Engineering Tongji University China School of Medical Technology Beijing Institute of Technology China Faculty of Engineering and Information Technology University of Technology Sydney Australia School of Computer Science and Information Engineering HeFei University of Technology China

Multivariate time series (MTS) forecasting is crucial in many real-world applications. To achieve accurate MTS forecasting, it is essential to simultaneously consider both intra- and inter-series relationships among time series data. However, previous work has typically modeled intra- and inter-series relationships separately and has disregarded multi-order interactions present within and between time series data, which can seriously degrade forecasting accuracy. In this paper, we reexamine intra- and inter-series relationships from the perspective of mutual information and accordingly construct a comprehensive relationship learning mechanism tailored to simultaneously capture the intricate multi-order intra- and inter-series couplings. Based on the mechanism, we propose a novel deep coupling network for MTS forecasting, named DeepCN, which consists of a coupling mechanism dedicated to explicitly exploring the multi-order intra- and inter-series relationships among time series data concurrently, a coupled variable representation module aimed at encoding diverse variable patterns, and an inference module facilitating predictions through one forward step. Extensive experiments conducted on seven real-world datasets demonstrate that our proposed DeepCN achieves superior performance compared with the state-of-the-art baselines. © 2024, CC BY.

关键词： Forecasting

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Deploying an Efficient Free Space Optical Network in the Presence of Different Environmental Turbulences

Deploying an Efficient Free Space Optical Network in the Pre...

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Communication engineering and Emerging Technologies (ICoCET), IEEE International Conference on

作者： Dalal Abdulmohsin Hammood Basim Galeb Aqeel Al-Hilali Mustafa Bashar Norizan Mohamed Nawawi Nur Hakimah Shukron Cybersecurity Technology Engineering Electrical Engineering Technical College Middle Technical University Baghdad Iraq Computer Technician Engineering Al Hikma University College Baghdad Iraq Medical Instrumentation Engineering Al-farahidi university Baghdad Iraq Uruk University Baghdad Iraq Advanced Communication Engineering Centre of Excellence Faculty of Electronic Engineering Technology Universiti Malaysia Perlis Perlis Malaysia Faculty Electronic Engineering Technology Universiti Malaysia Perlis Arau Perlis Malaysia

ISBN: (数字)9798331504144

ISBN: (纸本)9798331504151

This paper aims to develop a reliable FSO device that can transfer information quickly and effectively, making it ideal for short-to-medium distances in metropolitan areas lacking radio recurrence groups or linkages. The proposed system will be tested in light air, light rain, medium rain, and heavy rain, with attenuation values of 0.47, 1.988, 5.844, and 9.29 dB/km. Optisystem software version 21 will be used to evaluate the system's QF. Results obtained show that the implemented system can deliver signals 25 km distant in clear air, 12 km in light rain, 10 km in medium rain, and less than 6 km in severe rain. The method's performance with NRZ and RZ modulation formats is also examined. NRZ modulation is simpler to set up and requires less equipment than RZ modulation, and it reduces optical cable dispersion from light rain. NRZ is effective within 10 kilometers, while RZ handles dispersion and maintains synchronization better for extended broadcasts.

关键词： Rain Urban areas Attenuation Wavelength division multiplexing Software Synchronization Reliability Optical signal processing Optical fiber dispersion Optical pulses

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The Iterative Dichotomiser 3 method improves soft skills training decisions using survey data

The Iterative Dichotomiser 3 method improves soft skills tra...

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2024 IEEE International Conference on Machine Learning and Applied Network Technologies, ICMLANT 2024

作者： Gupta, Subir Hoang, Quang-Trung Roy, Bhaswati Chowdhury, Subrata Mukherjee, Sandip Pathak, Aditya Kumar Duc, Diep Can Haldia Institute of Technology West Bengal 721657 India Faculty of Electrical and Electronic Engineering Phenikaa University Hanoi12116 Viet Nam Dept. of FMS Dr.B.C. Roy Engineering College WB Durgapur India Dept. of Computer Science and Machine Learning Sreenivasa Inst. of Technology and Management Studies Andhra Pradesh Chittoor India Dept. of IT Haldia Institute of Technology West Bengal 721657 India Electric Power University Hanoi Viet Nam

ISBN: (纸本)9798350389180

This investigation explores student expectations and perceptions regarding higher education institutions, focusing on aligning professional programs with student career aspirations. The study evaluates how effectively academic institutions understand and meet training needs essential for student success in professional fields. Students were categorized using the Iterative Dichotomiser 3 methodology to forecast their training requirements. Analytical tools such as the confusion matrix and the ROC curve assessed the precision of these predictions. The results show a specificity rate of 74.1%, a sensitivity of 78.6%, and an overall accuracy of 76.7%. The combined sensitivity and specificity score is 3.527, and the empirical area under the ROC curve is 0.76, suggesting the model’s reasonable efficacy. The findings indicate a significant student demand for enhanced instruction in soft skills, underscoring the need for educational institutions to adapt their curricula to better prepare students for professional challenges. © 2024 IEEE.

关键词： Students

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Diffusion inverse square-root recursive least square-based algorithm with adaptive network 18

Diffusion inverse square-root recursive least square-based a...

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18th International Conference on Electrical engineering/electronics, computer, Telecommunications and Information technology, ECTI-CON 2021

作者： Sitjongsataporn, Suchada Prongnuch, Sethakarn Wiangtong, Theerayod Faculty of Engineering and Technology Dept. of Electronic Engineering Bangkok Thailand Suan Sunandha Rajabhat University Faculty of Industrial Technology Dept. of Computer Engineering Bangkok Thailand King Mongkut's Institute of Technology Ladkrabang Faculty of Engineering Dept. of Electrical Engineering Bangkok Thailand

ISBN: (纸本)9780738111278

In this paper, a Combine-Then-Adapt diffusion strategy on adaptive recursive least square algorithm (RLS) is proposed with adaptive network. We apply the inverse autocorrelation matrix based on the QR-decomposition method in order to reduce the complexity. The Combine-Then-Adapt diffusion strategy is modified on the inverse square-root recursive least square (iQR-RLS) algorithm including with the combination and adaptation steps. By applying an idea of diffusion strategy and mixed cost function, we derive a diffused version of an inverse square-root recursive least square algorithm, named as DiQR-RLS. Experimental results demonstrate that the proposed DiQR-RLS can achieve clearly the better performance than the conventional recursive least square algorithm. © 2021 IEEE.

关键词： Cost functions

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An MPC-controlled Bidirectional Battery Charger with DC-DC and Three-level F-type Converters

An MPC-controlled Bidirectional Battery Charger with DC-DC a...

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Workshop on Smart Grid and Renewable Energy (SGRE)

作者： Naki Guler Farzaneh Bagheri Hasan Komurcugil Sertac Bayhan Electrical and Electronic Engineering Technology Faculty Gazi University Ankara Turkey Department of Electrical and Electronic Engineering Antalya Bilim University Antalya Turkey Department of Computer Engineering Eastern Mediterranean University Famagusta Turkey Qatar Environment and Energy Research Institute Doha Qatar

This paper proposes a single-phase bidirectional battery charger which comprises a three-level F-type converter and a bidirectional dc-dc converter. The proposed charger is suitable for electric vehicles and battery energy storage systems. The bidirectional dc-dc converter is integrated into the system to prevent the charge current oscillations caused by double-line frequency voltage ripples of the F-type converter when operates as a single-phase rectifier. The F-type converter operates as rectifier and inverter during charging and discharging modes, respectively. The power flow of the battery is controlled with a bidirectional dc-dc converter. The current control of both F-type and bidirectional dc-dc converters is achieved by the model predictive control (MPC) method. The control strategy is designed by considering the power balance theory. For this purpose, the voltage of the common connection point of both converters (dc-link) is regulated. The grid current reference of the F-type converter is obtained by using a proportional-integral (PI) controller whose input is the dc-link voltage error. Thus, bidirectional power flow control is achieved. The effectiveness of the proposed power converter structure as well as the control strategy is investigated by simulation studies performed on MATLAB/Simulink environments. The results show that the proposed system is capable of controlling the grid and battery currents in both power directions.

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A Machine Learning-Based Observational Constraint Correction Method for Seasonal Precipitation Prediction

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Advances in Atmospheric Sciences 2025年第1期42卷 36-52页

作者： Bofei ZHANG Haipeng YU Zeyong HU Ping YUE Zunye TANG Hongyu LUO Guantian WANG Shanling CHENG Key Laboratory of Cryospheric Science and Frozen Soil Engineering Nagqu Plateau Climate and Environment Observation and Research Station of Tibet Autonomous RegionNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou 730000China University of the Chinese Academy of Sciences Beijing 100049China Key Open Laboratory of Arid Climate Change and Disaster Reduction of CMA Key Laboratory of Arid Climate Change and Reducing Disaster of Gansu ProvinceInstitute of Arid MeteorologyChina Meteorological AdministrationLanzhou 730000China School of Computer Science and Technology Faculty of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’an 710049China

Seasonal precipitation has always been a key focus of climate *** a dynamic-statistical combined method,the existing observational constraint correction establishes a regression relationship between the numerical model outputs and historical observations,which can partly predict seasonal ***,solving a nonlinear problem through linear regression is significantly *** study implements a nonlinear optimization of an existing observational constrained correction model using a Light Gradient Boosting Machine(LightGBM)machine learning algorithm based on output from the Beijing National Climate Center Climate System Model(BCC-CSM)and station observations to improve the prediction of summer precipitation in *** model was trained using a rolling approach,and LightGBM outperformed Linear Regression(LR),Extreme Gradient Boosting(XGBoost),and Categorical Boosting(CatBoost).Using parameter tuning to optimize the machine learning model and predict future summer precipitation using eight different predictors in BCC-CSM,the mean Anomaly Correlation Coefficient(ACC)score in the 2019–22 summer precipitation predictions was 0.17,and the mean Prediction Score(PS)reached *** PS score was improved by 7.87%and 6.63%compared with the BCC-CSM and the linear observational constraint approach,*** observational constraint correction prediction strategy with LightGBM significantly and stably improved the prediction of summer precipitation in China compared to the previous linear observational constraint solution,providing a reference for flood control and drought relief during the flood season(summer)in China.

关键词： observational constraint LightGBM seasonal prediction summer precipitation machine learning

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Design of Miniaturized Metamaterial Reflector with Doubly Interdigital Structure for 5G Use Cases

Design of Miniaturized Metamaterial Reflector with Doubly In...

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13th International Electrical engineering Congress, iEECON 2025

作者： Somwong, Tanee Chomtong, Pongsathorn Khamsuthat, Jirayut Chudpooti, Nonchanutt Akkaraekthalin, Prayoot Rajamangala University of Technology Suvarnabhumi Faculty of Engineering and Architecture Department of Electronic and Telecommunications Engineering Nonthaburi Thailand King Mongkut's University of Technology North Bangkok Faculty of Technical Education Department of Teacher Training in Electrical Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Industrial Physics and Medical Instrumentation Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Engineering Department of Electrical and Computer Engineering Bangkok Thailand

ISBN: (纸本)9798331543952

This paper presents the design of a miniaturized metamaterial reflector composing of an open-loop transmission line unit cell structure. The transmission line ends are connected by using a double interdigital technique, resulting in a large capacitive value compared to the conventional methods. When combined with the open-loop line employing the trisection step-impedance structure with adjusting of the capacitive value, its second and third resonant frequencies will be controllable. As a result, this approach can reduce the unit cell size from a typical value of λ/2 to an approximate value of λ/16, therefore overall size of the reflector is significantly decreased. The designed unit cell is measured to be 1.05 cm × 1.0 cm. We implemented the proposed reflector on an FR-4 PCB with a relative permittivity of about 4.4, a substrate height (h) of 1.6 mm, and a loss tangent of about 0.02. The operating frequency range targets of 5G use cases were set to be at 1.8 GHz, 2.6 GHz and 3.5 GHz, respectively. When used with a dipole antenna, the bandwidths of 390 MHz, 604 MHz, and 1.1 GHz and the antenna gains of about 8.23 dB, 8.14 dB, and 8.19 dB were obtained at the operating frequencies, respectively. © 2025 IEEE.

关键词： Antenna reflectors

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Azimuthally and radially polarized beams generated in a helical fiber grating 22

Azimuthally and radially polarized beams generated in a heli...

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Optical Components and Materials XXII 2025

作者： Meng, Zhang Wang, Peng Zhao, Hua Li, Hongpu Graduate School of Science and Technology Shizuoka University Johoku 3-5-1 Chuo-Ku Hamamatsu432-8561 Japan School of the Electronic Engineering Nanjing Xiaozhuang University Nanjing211171 China School of the Computer and Electronic Information Nanjing Normal University Nanjing210023 China Faculty of the Engineering Shizuoka University Johoku 3-5-1 Chuo-Ku Hamamatsu432-8561 Japan

ISBN: (纸本)9781510684720

Azimuthally polarized (AP) and radially polarized (RP) beams are the two common types of cylindrical vector beam that has a spatially varying polarization distribution. In this study, an efficient method allowing the flexible generation of the azimuthally and radially polarized beams has been proposed and experimentally demonstrated, which is realized by using a helical fiber grating with an intermediate-period (HFG). To the best of our knowledge, this is the first time that such two kinds of cylindrical vector beams can be flexibly generated by using only one fiber component, i.e., the HFG. The proposed method provides the potential application of the HFG to not only the laser processing but also the optical tweezer, and the optical manipulator as well. © 2025 SPIE.

关键词： Laser materials processing

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Design of Miniaturized Metamaterial Reflector with Doubly Interdigital Structure for 5G Use Cases

Design of Miniaturized Metamaterial Reflector with Doubly In...

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International Electrical engineering Congress (iEECON)

作者： Tanee Somwong Pongsathorn Chomtong Jirayut Khamsuthat Nonchanutt Chudpooti Prayoot Akkaraekthalin Department of Electronic and Telecommunications Engineering Faculty of Engineering and Architecture Rajamangala University of Technology Suvarnabhumi Nonthaburi Thailand Department of Teacher Training in Electrical Engineering Faculty of Technical Education King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

关键词： Wireless communication 5G mobile communication Dipole antennas Simulation Resonant frequency Reflector antennas Transmission line measurements Metamaterials Gain Substrates

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