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2024 IEEE International Conference on systems, Man, and Cybernetics, SMC 2024

作者： Ding, Fan Luo, Xuewen Li, Gaoxuan Tew, Hwa Hui Loo, Junn Yong Tong, Chor Wai Bakibillah, A.S.M. Zhao, Ziyuan Tao, Zhiyu School of Information Technology Monash University Malaysia Malaysia School of Engineering Monash University Malaysia Malaysia Tokyo Institute of Technology. Department of Systems and Control Engineering Japan Institute for Infocomm Research A*STAR Singapore Chinese Academy of Sciences National Science Library China

ISBN: (纸本)9781665410205

To tackle the twin challenges of limited battery life and lengthy charging durations in electric vehicles (EV s), this paper introduces an Energy-efficient Hybrid Model Predictive Planner (EHMPP), which employs an energy-saving optimization strategy. EHMPP focuses on refining the design of the motion planner to be seamlessly integrated with the existing automatic driving algorithms, without additional hardware. It has been validated through simulation experiments on the Prescan, CarSim, and Matlab platforms, demonstrating that it can increase passive recovery energy by 11.74% and effectively track motor speed and acceleration at optimal power. To sum up, EHMPP not only aids in trajectory planning but also significantly boosts energy efficiency in autonomous EVs. © 2024 IEEE.

关键词： Hybrid power

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Flexible organic artificial synapse with ultrashort-term plasticity for tunable time-frequency signal processing

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Chinese Chemical Letters 2023年第12期34卷 236-240页

作者： Yao Ni Lu Liu Jiulong Feng Lu Yang Wentao Xu Institute of Photoelectronic Thin Film Devices and Technology Key Laboratory of Photoelectronic Thin Film Devices and Technology of TianjinCollege of Electronic Information and Optical EngineeringEngineering Research Center of Thin Film Photoelectronic Technology of Ministry of EducationSmart Sensing Interdisciplinary Science CenterNankai UniversityTianjin 300350China Shenzhen Research Institute of Nankai University Shenzhen 518000China

A flexible organic artificial synapse(OAS)for tunable time-frequency signal processing was fabricated using a tri-blend film that had been fabricated using a one-step solution *** combined with a chitosan film,this OAS can achieve an ultrashort-term retention time of only 49 ms for instant electricalcomputing applications;this is the shortest retention time yet achieved by a two-terminal artificial *** array of these flexible OASs can withstand a high bending strain of 5%for 10^(4) cycles;this deformation endurance is a new *** OAS was also sensitive to the number and frequency of electrical inputs;a tunable cut-off frequency enables dynamic filtering for use in image detail *** work provides a new resource for development of future neuromorphic computing devices。

关键词： Flexible organic artificial synapse Tri-blend film Time-frequency signal processing Ultrashort-term plasticity Dynamic filtering

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Electric Power Load Forecasting: Discovering Causal Links with Meteorological Data 10

Electric Power Load Forecasting: Discovering Causal Links wi...

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10th International Conference on Fuzzy systems and Data Mining, FSDM 2024

作者： Ma, Hongwei Peng, Huimin Ren, Weijie College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China State Key Laboratory of Technology and Equipment for Defense against Power System Operational Risks Nari Technology Co. Ltd. Jiangsu Nanjing211106 China

ISBN: (纸本)9781643685694

Power system load forecasting is the foundation of power system operation and planning. Meteorological factors such as temperature, humidity, and wind speed have a significant impact on the load of the power system. In recent years, with the popularity of data-driven methods, power system load forecasting has developed. However, in existing research on power systems, the study of relationships between variables is predominantly based on correlation, with little mention of the concept of causality. In this paper, an adaptive time window strategy is proposed to identify time periods where causal relationships may change. Then, the Time Causal Discovery Framework (TCDF) was used at each time window to explore the causal relationship between electricity load and climate data. Finally, compared with the traditional correlation-based analysis method, the experiment shows that our method not only explains the causal relationship between power load and climate, but also effectively improves the prediction performance. © 2024 The Authors.

关键词： Wind forecasting

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Rapid Prediction of EM Scattering from Finite Periodic Structures Using CBFM with ANNs 12

Rapid Prediction of EM Scattering from Finite Periodic Struc...

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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024

作者： Wang, Mingxin Chen, Xinlei Gao, Fan Meng, Hao Yang, Wu Lu, Weibing Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Key Laboratory of Radar Imaging and Microwave Photonics Key Laboratory of Inlet and Exhaust System Technology Nanjing211106 China Southeast University State Key Laboratory of Millimeter Waves Nanjing210096 China Southeast University State Key Laboratory of Millimeter Waves School of Information Science and Engineering Nanjing210096 China Southeast University Center for Flexible Rf Technology Moe Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China Purple Mountain Laboratories Nanjing210096 China

ISBN: (纸本)9798350351019

In this article, the artificial neural networks (ANNs) are combined with the characteristic basis function method (CBFM) to fast predict the electromagnetic scattering from finite periodic structures. The amplitude and the phase of the expansion coefficients of the characteristic basis functions (CBFs) are predicted by two different ANNs. Then, the predicted expansion coefficients are used to calculated the radar cross sections (RCSs) of the finite periodic structures. Numerical results are given to show the performance of the ANN-assisted CBFM. © 2024 IEEE.

关键词： Radar cross section

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Configurable microcavity-enhanced graphene photothermoelectric terahertz detectors

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Photonics Research 2024年第10期12卷 2300-2310页

作者： YIFAN YAO MIAO CAI JINGJING FU SHICONG HOU YATING CAI FEI HE XUGUANG GUO YIMING ZHU Shanghai Key Laboratory of Modern Optical Systems Terahertz Technology Innovation Research Instituteand Engineering Research Center of Optical Instrument and SystemMinistry of EducationUniversity of Shanghai for Science and TechnologyShanghai 200093China

Terahertz(THz)detectors with high sensitivity,fast response speed,room temperature operation,and self-powered feature are the key component for many THz *** resonators can effectively improve the sensitivity of THz ***,it is difficult to precisely evaluate the microcavity resonator induced such improvement in ***,we realize a configurable microcavity–antenna-integrated graphene photothermoelectric(PTE)THz *** the microcavity–antenna hybrid structure,THz radiations are localized and enhanced at one end of the graphene channel,and the temperature difference along the channel is greatly increased,resulting in the strong enhancement of PTE *** the resonant frequency,the device has a high responsivity(976 V/W),low noise equivalent power(2.87 pW∕Hz1∕2),and fast response speed(300 ns)at room temperature and in zero-bias operation *** microcavity-induced peak enhancement factor of 13.14 is accurately *** microcavity–antenna introduced enhancement is further confirmed by using a two-temperature heat transfer *** strategy of using a configurable microcavity is useful for further optimizing THz detectors by introducing the critical coupling mechanism.

关键词： antenna resonator operation

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Hyper Spectral Spatial Image Segmentation Using Machine Learning Algorithms 1

Hyper Spectral Spatial Image Segmentation Using Machine Lear...

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1st International Conference on Intelligent Technologies for Sustainable Electric and Communications systems, iTech SECOM 2023

作者： Saravanan, G. Suresh, A. Jagannathan, J. Thanga Mariappan, L. Majeeth, Najeem Dheen Abdul Kumar, Nithish Veltech Rangarajan Dr.Sagunthala R and D Institute of Science and Technology Department of Computer Science and Engineering Tamilnadu India Vellore Institute of Technology School of Computer Science and Engineering Tamilnadu Vellore India Vellore Institute of Technology School of Computer Science Engineering and Information Systems Tamilnadu Vellore India Saveetha Engineering College Department of Artificial Intelligence and Machine Learning Tamilnadu India

ISBN: (纸本)9798350371185

In recent years, there has been a notable surge in the development of methods dedicated to classifying hyper spectral image samples. However, the inherent high dimensionality of hyper spectral data presents significant challenges for traditional supervised classification algorithms. Prior studies have attempted to address these challenges by incorporating active learning methods for hyper spectral data segmentation. Nevertheless, a crucial drawback of active learning lies in its dependence on labeled data samples, leading to less improved classification results for unlabeled data samples. In response to this limitation, our work introduces Supervised Active Learning (SAL) techniques that harness both spectral and spatial information. The key innovation of our research lies in the introduction of a novel hyper spectral image segmentation approach based on the k-dependence Bayesian (KDB) model. We estimate the maximizer of the posterior marginal using Symmetric Iterative Proportional Fitting (SIPF) within this KDB model. By implementing the KDB model for hyper spectral image segmentation, our goal is to enhance the classification accuracy of our SAL classifiers. The SAL framework integrates shape prior probability estimation, class density results from Improved Multi-Level Logistic (IMLL) methods, and the maximization of the posterior marginal estimated through Symmetric Iterative Proportional Fitting (SIPF). We evaluate the accuracy of our proposed MPM-SIPF-SAL system using the real ROSIS Hyper Spectral Dataset, demonstrating that our system outperforms existing methods in terms of classification accuracy. © 2023 IEEE.

关键词： Image segmentation

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Ultraviolet spatiotemporal optical vortices via sum-frequency generation

Ultraviolet spatiotemporal optical vortices via sum-frequenc...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Fan, Jintao Wang, Jue Gao, Xuechen Lu, Yang Zhao, Yuwei Zhang, Jiaxuan Hu, Minglie Ultrafast Laser Laboratory Key Laboratory of Opto-Electronic Information Science and Technology of Ministry of Education College of Precision Instruments and Opto-Electronics Engineering Tianjin University Tianjin300072 China

ISBN: (纸本)9781957171258

关键词： Interferometry

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5-bit all free space optical quantum random number generator 10

5-bit all free space optical quantum random number generator

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Quantum and Nonlinear Optics X 2023

作者： Li, Shaojie Fan, Jintao Zhu, Xiaoxuan Lu, Yang Hu, Minglie Ultrafast Laser Laboratory Key Laboratory of Opto-electronic Information Science and Technology of Ministry of Education School of Precision Instruments and Opto-electronics Engineering Tianjin University Tianjin300072 China

ISBN: (纸本)9781510667990

Random numbers play an important role in many fields, such as computation, simulation and cryptography. The randomness inherent in quantum mechanics is a perfect source of entropy for a true random number generator. Nevertheless, many QRNG schemes require post-processing work to ensure randomness. On the other hand, the bit number of the QRNG is limited, which hamper its further applications. Here, we demonstrate a novel 5-bit all free space optical quantum random number generator based on a time-division-multiplexed degenerate optical parametric oscillator (DOPO), which does not need a complicated experimental environment and tedious post-processing work. By inserting a multi-pass cell into the optical parametric oscillator, the equivalent cavity length is calculated to be as long as 15 m, which corresponds to fifth of the separation times of pump pulses. As a result, 5 identical DOPO pulses are generated simultaneously. The randomness comes from phase responses of degenerate OPOs. Under threshold, the photons produced by optical parametric down conversion have random initial phase, while above threshold, stable oscillations occurs in one of the two possible phase states. Random number is reliably verified by measuring the relative phase states between DOPO output pulses and the original pump pulse using a fast response photodiode. All spatial structures have the advantages of higher stability and are less sensitive to temperature fluctuation. The bit number can be readily multiplied by increasing the cavity length of DOPO or the repetition rate of the pump laser source. © 2023 SPIE.

关键词： Nonlinear optics

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Typhoon Wind Speed Retrieval from HY-2C Microwave Radiometer Based on LightGBM

Typhoon Wind Speed Retrieval from HY-2C Microwave Radiometer...

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Progress in Electromagnetic Research Symposium (PIERS)

作者： Xuchen Dai Biao Zhang Yifan Zhang Lanjie Zhang Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

ISBN: (数字)9798350375909

ISBN: (纸本)9798350375916

In this paper, the sea surface wind speed (SSWS) retrieval accuracy for HaiYang-2C (HY-2C) passive microwave radiometer under the severe weather such as typhoon is evaluated. Based on the observation data of HY-2C, this study explores the influence of brightness temperature (TB) observed by microwave radiometer on sea surface wind speed retrieval under typhoon conditions. In the case of typhoon precipitation, the attenuation of the atmosphere to the high frequency channel is stronger, which makes the sea surface information observed by the microwave radiometer very weak. Therefore, we mainly select the TB of horizontal polarization and vertical polarization observation of 6.9GHz and 10.7GHz channels to carry out the study of typhoon wind speed retrieval. This paper constructs a matching data set based on the TB observed by HY-2C passive microwave radiometer, HY-2C L2B wind product and H*wind reanalysis wind field data in October and November 2020. The maximum differences of spatial and temporal were set as 25km and 30minutes, respectively. Then, the typhoon wind speed retrieval model based on LightGBM is established. We use the data of October 2020 to train the model and the data of November 2020 to test model performance. Comparing with the H*wind reanalysis wind field data, the bias and root-mean-square error of retrieved wind speed are 0.15m/s and 1.26m/s, respectively. In addition, the correlation coefficient is 0.90, indicating that the retrieved wind speed has a good consistency with H*wind data.

关键词： Microwave measurement Sea surface Tropical cyclones Wind speed Microwave theory and techniques Data models Brightness temperature

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A Monocular Biological Simultaneous Localization and Mapping Method Based on a Bionic Vision Model

A Monocular Biological Simultaneous Localization and Mapping...

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2023 International Conference on Frontiers of Robotics and Software engineering, FRSE 2023

作者： Guo, Sitong Zhang, Yu Zhejiang University Key Laboratory of Collaborative Sensing and Autonomous Unmanned Systems of Zhejiang Province State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Hangzhou China

ISBN: (纸本)9798350301113

Animals can navigate robustly through large unknown environments, utilizing inaccurate sensor and egomotion cues. Inspired by the mechanism of the human visual system, this paper presents a biological simultaneous localization and mapping (SLAM) system based on a monocular vision sensor to perform navigation tasks in complex environments. Specifically, our contributions are two folds: an improved monocular visual odometry with a scale recovery algorithm to calibrate the estimated robot pose, and a bionic vision model based on image enhancement algorithm and feature extraction approach to detect closed-loop. Experiments on public datasets demonstrate that our proposed method performs competitively in illumination-varying scenarios indoors and outdoors, which achieve a trade-off to maintain performances in terms of accuracy, execution time, and robustness. © 2023 IEEE.

关键词： Vision

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