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Chinese Control Conference (CCC)

作者： Jie Li Zizhen Li Xin Zhao Tianjin Key Laboratory of Intelligent Robotic (tjKLIR) Institute of Robotics and Automatic Information System (IRAIS) Nankai University Tianjin P. R. China Institute of Intelligence Technology and Robotic Systems Shenzhen Research Institute of Nankai University Shenzhen P. R. China

Studying cells of brain slices under microscopes reveals subtle changes in neuron networks. But the field of view of microscopes is compromised by high-resolution imaging. A post hoc computer vision-aid process can address the problem. Commonly, feature-based stitching methods can be used to obtain large-scale images. They detect and match salient features within an image. However, the success rate of stitching is highly related to the scale of overlapping of two images and feature-rich properties. Unlike the feature-based methods, this paper reports on a method using a Fourier-based domain, PhaPaM, which infers relative motion from a pair of microscopy images by phase correlation. Specifically, we first apply the Fourier transform for microscope images to sequentially estimate the relative movement of an image pair. Then, we use a minimal spanning tree algorithm to minimize the stitching error and obtain the best stitching path. Finally, we apply the liner-blending method to smoothing the panoramic image. This method is evaluated using large-scale images obtained from the visual cortex of rodent animals, which shows great fidelity and satisfying results.

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Study on Block Strategy Optimization of Passive Isolated Island Operation of DXB UHVDC Project 6th

Study on Block Strategy Optimization of Passive Isolated Isl...

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6th PURPLE MOUNTAIN FORUM on Smart Grid Protection and Control, PMF2021

作者： Huang, Run Zhang, Lifei Wu, Chen Li, Chengxiang Yang, Lei Wu, Mingkang Yunnan Power Grid Co. Ltd Kunming650011 China State Key Laboratory of HVDC China Southern Power Grid Electric Power Research Institute Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China CSG Key Laboratory for Power System Simulation China Southern Power Grid Electric Power Research Institute Guangzhou China

ISBN: (纸本)9789811671555

Due to the lack of generators at sending end in the early operation stage of the DXB UHVDC project, if it passively entered into island operation mode, the system will encounter harmonic instability and will cause a great risk to the steady operation. In previous projects, the common solution is to disconnect AC filters and block bipolar DC with a certain time delay when receiving island operation signal. However HVDC system may block valves, cut generation capacity or shed power by error when receiving false island operation signal. Therefore, the blocking strategy at low power under passive island mode has been improved. In DXB UHVDC project, the power on AC tie lines is used as criteria for island operation to prevent false action. The logic and realization of the control strategy are illustrated, then RTDS simulations are carried out and it is verified that by judging the power on AC tie lines, the system can effectively prevent from entering island mode by error. Finally, the field test proved that the proposed improved strategy will not cause rejecting of the existing "island blocking logic". The proposed strategy can be a reference to other DC projects. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Computer circuits

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The Simulation Analysis and Countermeasures of LCC-HVDC Complementary Resonance 5

The Simulation Analysis and Countermeasures of LCC-HVDC Comp...

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2023 5th International Conference on Energy systems and Electrical Power, ICESEP 2023

作者： Su, Yinsheng Liu, Zhijiang Chen, Deyang Xie, Huifan Lin, Xuehua Liu, Hongtao Power Dispatching Control Center of China Southern Power Grid Guangdong Guangzhou510663 China Electric Power Research Institute of China Southern Power Grid Guangdong Guangzhou510663 China State Key Laboratory of DC Transmission Technology Guangdong Guangzhou510663 China Key Laboratory of Guangdong New Energy Power System Intelligent Operation and Control Enterprise Guangdong Guangzhou510663 China

With the advancement of HVDC technology, the AC/DC hybrid grid has gradually emerged. The interaction and influence between AC and DC have become increasingly prominent, with the complementary resonance problem between AC and DC emerging as a hot research topic. In this paper, firstly, the phenomenon of LCC-HVDC complementary resonance is analyzed in both time and frequency domains, and a method for setting the saturation curve of the converter transformer in time domain simulation is proposed. Subsequently, targeting the actual LCC-HVDC complementary resonance, a hardware-in-loop simulation platform is constructed based on the actual HVDC control and protection equipment, and the actual field complementary resonance is reproduced. By simulating different operation modes, the operation range with a low risk of complementary resonance is determined. The influencing factors of complementary resonance are discussed and analyzed. Finally, through real-time simulation, the results show that the simulation method proposed in this article for setting the saturation curve of the converter transformer can accurately reflect the complementary resonance phenomenon between AC and DC caused by the saturation of the converter transformer. The countermeasures proposed in this article can effectively remove the complementary resonance between AC and DC and have been applied to the operation and control of actual power grids. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Time domain analysis

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Millimeter-Wave AlGaN/GaN HEMTs/Si Operated on 12V for 5G RF Handset Applications 16

Millimeter-Wave AlGaN/GaN HEMTs/Si Operated on 12V for 5G RF...

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16th IEEE International Conference on Solid-state and Integrated Circuit Technology, ICSICT 2022

作者： Liu, Dong-Sheng Wang, Peng Jiang, Yi-Zhou Huang, Wei Xiao, Zhi-Qiang Yang, Hong-Qiang Zhang, Wei. Fudan University State Key Laboratory of Asic and System Shanghai Institute of Intelligent Electronics & Systems School of Microelectronics Shanghai200433 China Wuxi Microelectronics Scientific and Research Center Wuxi214035 China University of Electronic Science and Technology of China The State Key Laboratory of Electronic Thin Films and Integrated Devices Chengdu610054 China

ISBN: (数字)9781665469067

ISBN: (纸本)9781665469067

In this paper, a RF AlGaN/GaN high electron mobility transistor (HEMT) based on low voltage application of 5G RF handset, firstly fabricated on high-resistive silicon substrate is introduced, which uses Ni/Au as T-shaped gate structure and double-layer silicide as surface medium. The maximum output current density of the device is 1.07 A/mm at Vds = 12 V and Vgs = 2 V. fT = 27.8 GHz and BV (the breakdown voltage) = 35 V/μm are obtained for the 180-nm gate-length device with 1-μm source-to-gate spacing. © 2022 IEEE.

关键词： Silicides

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High-speed photon correlation monitoring of amplified quantum noise by chaos using deep-learning balanced homodyne detection

arXiv

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arXiv 2023年

作者： Guo, Yanqiang Hu, Zinan Zhang, Jianchao Zhu, Chenyu Guo, Xiaomin Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education College of Physics Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Cryptology Beijing100878 China

Precision experimental determination of photon correlation requires the massive amounts of data and extensive measurement time. We present a technique to monitor second-order photon correlation g(2)(0) of amplified quantum noise based on wideband balanced homodyne detection and deep-learning acceleration. The quantum noise is effectively amplified by an injection of weak chaotic laser and the g(2)(0) of the amplified quantum noise is measured with a real-time sample rate of 1.4 GHz. We also exploit a photon correlation convolutional neural network accelerating correlation data using a few quadrature fluctuations to perform a parallel processing of the g(2)(0) for various chaos injection intensities and effective bandwidths. The deep-learning method accelerates the g(2)(0) experimental acquisition with a high accuracy, estimating 6107 sets of photon correlation data with a mean square error of 0.002 in 22 seconds and achieving a three orders of magnitude acceleration in data acquisition time. This technique contributes to a high-speed and precision coherence evaluation of entropy source in secure communication and quantum imaging. Copyright © 2023, The Authors. All rights reserved.

关键词： Quantum noise

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Robust Control of Bidirectional Power Converter in an AC/DC Hybrid Microgrid Based on the H∞Tracking Problem 4

Robust Control of Bidirectional Power Converter in an AC/DC ...

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4th International Conference on Power and Energy Technology, ICPET 2022

作者： Guo, Tianyu Guo, Haiping Luo, Chao Miao, Lu Huang, Libin State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China China Southern Power Grid Csg Key Laboratory for Power System Simulation Electric Power Research Institute Guangzhou China Electric Power Dispatching and Control Center of Guangdong Power Grid Guangzhou China

ISBN: (数字)9781665480796

ISBN: (纸本)9781665480796

The bidirectional power converter (BPC) in the ac/dc hybrid microgrid plays a vital role in maintaining the dynamic balance of power in the microgrid, achieving mutual support of power between the AC and the DC areas, and improving the power quality. In view of this, this paper proposes a robust control method for BPC in the ac/dc hybrid microgrid based on the H∞ tracking problem. First, based on the superposition theorem, the voltage control problem of the ac/dc hybrid microgrid is converted into a H∞ tracking problem for solution, and the robust controller is mathematically proved to exist stably. Then, the designed H∞ robust controller is reduced based on the principle of optimal Hankel norm approximation reduction. Finally, the simulation model is built based on the MATLAB/Simulink to verify the correctness and effectiveness of the proposed method. © 2022 IEEE.

关键词： Robust control

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Chaos with Gaussian invariant distribution by quantum-noise random phase feedback

arXiv

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arXiv 2023年

作者： Guo, Yanqiang Li, Haifeng Wang, Yingqi Meng, Xiangyu Zhao, Tong Guo, Xiaomin Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education College of Physics Taiyuan University of Technology Taiyuan030024 China State Key Laboratory of Cryptology Beijing100878 China

We experimentally present a random phase feedback based on quantum noise to generate a chaotic laser with Gaussian invariant distribution. The quantum noise from vacuum fluctuations is acquired by balanced homodyne detection and injected into a phase modulator to form a random phase feedback. An optical switch using high-speed intensity modulator is employed to reset the chaotic states repeatedly and the time evolutions of intensity statistical distributions of the chaotic states stemming from the initial noise are measured. By the quantum-noise random phase feedback, the transient intensity distributions of the chaotic outputs are improved from asymmetric invariant distributions to Gaussian invariant distributions, and the Gaussian invariant distribution indicates a randomly perturbed dynamical transition from microscopic initial noise to macroscopic stochastic fluctuation. The effects of phase feedback bandwidth and modulation depth on the invariant distributions are investigated experimentally. The chaotic time-delay signature and mean permutation entropy are suppressed to 0.036 and enhanced to 0.999 using the random phase feedback, respectively. The high-quality chaotic laser with Gaussian invariant distribution can be a desired random source for ultrafast random number generation and secure communication. Copyright © 2023, The Authors. All rights reserved.

关键词： Quantum noise

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Source Separation of Piano Concertos Using Hybrid LSTM-Transformer Model

Source Separation of Piano Concertos Using Hybrid LSTM-Trans...

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Culture-Oriented Science and Technology (CoST), International Conference on

作者： JingYu Liu Wei He Jingjing Zhou Wei Jiang State Key Laboratory of Media Convergence and Communication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China School of Information and Communication Engineering (Communication University of China) Beijing China

ISBN: (数字)9798350380347

ISBN: (纸本)9798350380354

Music source separation, the process of extracting independent audio streams from a complex mix, has traditionally focused on isolating vocals, drums, bass, and other primary sources. This study tackles the more intricate task of separating the piano component from a piano concerto-a challenge compounded by the diverse range of instruments and the dynamic shifts in volume and timbre. Unlike traditional music separation tasks, the piano’s distinct characteristics and its interaction with the orchestra demand a more nuanced *** address the scarcity of multi-track recordings for piano concertos, this research pioneers an artificial data synthesis strategy to create a robust training dataset. We introduce a novel hybrid deep learning model that integrates Long Short-Term Memory (LSTM) networks with Transformer architecture, capitalizing on their complementary strengths to distinguish piano melodies from the rich tapestry of orchestral sounds. Our experiments demonstrate that this hybrid approach significantly outperforms conventional methods, with an improvement of 3.18 dB in signal-to-distortion ratio. These results not only validate the efficacy of proposed method but also pave the way for innovative applications in classical music source separation.

关键词： Training Deep learning Source separation Instruments Transformers Recording Timbre

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Eckart streaming with nonlinear high-order harmonics: an example at gigahertz

arXiv

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arXiv 2024年

作者： Li, Shiyu Cui, Weiwei Baasch, Thierry Wang, Bin Gong, Zhixiong State Key Laboratory of Ocean Engineering School of Ocean and Civil Engineering China Shanghai Jiao Tong University Shanghai200240 China State Key Laboratory of Precision Measuring Technology and Instruments Tianjin University Tianjin300072 China Lund University Sweden Key Laboratory of Marine Intelligent Equipment and System Ministry of Education China

Acoustic streaming shows great potential in applications such as bubble dynamics, cell aggregation, and nano-sized particle isolation in the biomedical and drug industries. As the acoustic shock distance decreases with the increase of incident frequency, the nonlinear propagation effect will play a role in acoustic streaming, e.g., Eckart (bulk) streaming at a few gigahertz (GHz). However, the theory of source terms of bulk streaming is still missing at this stage when high-order acoustic harmonics play a role. In this paper, we derive the source term including the contribution of higher-order harmonics. The streaming-induced hydrodynamic flow is assumed to be incompressible and no shock wave occurs during the nonlinear acoustic propagation as restricted by the traditional Goldberg number Γ © 2024, CC BY.

关键词： Particle size

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Visual Detection of Cells in Brain Tissue Slice for Patch Clamp system 11

Visual Detection of Cells in Brain Tissue Slice for Patch Cl...

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11th IEEE Annual International Conference on CYBER Technology in Automation, Control, and intelligent systems, CYBER 2021

作者： Ma, Yuxin Cai, Yunyao Wang, Zeyu Sun, Mingzhu Zhao, Xin College of Artificial Intelligence Nankai University Tianjin300071 China Inst. of Robotics and Automat. Info. System and the Tianjin Key Laboratory of Intelligent Robotic Nankai University Tianjin300350 China

ISBN: (纸本)9781665425278

Whole-cell patch clamping is the gold-standard technology for electrical activities recordings of living single cells. Since it is difficult to train patch clamp operators, automatic patch clamp technologies have gained much attention. The key step in fully automated patch clamping is visual detection of cells in brain tissue slice under view of differential interference contrast (DIC) microscope. This paper proposes a cell detection method based on DIC images, which includes image classification based on image clarity and visual detection of cells in brain tissue slice based on machine learning. Firstly, combining the gray features and texture features of DIC images, we define a clarity evaluation function based on principal component analysis (PCA). Afterwards, by using K-Means Algorithm, DIC images can be divided into clear class and blurred class. The precision of this method is 99.1% in test set, which indicates that it can select the images with clear cell contour from a series of DIC images for subsequent processing. Secondly, we design a neuron detection process based on sliding window and pre-Trained classifier to take cell detection in the selected clear images. We finally choose GoogLeNet as classifier in the detection process after comparing the advantages and disadvantages of classification methods based on support vector machine (SVM) and deep learning. The results show that the detected cells are basically operable living cells. The proposed cell detection technology in this paper provides an effective visual tool for fully automated patch clamping. © 2021 IEEE.

关键词： Image classification

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