Luyu Yang

Hohai University

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Weiliang Li

Inner Mongolia University of Finance and Economics

Hengyu Liu

Xiamen University

Shouzhi Fu

Wuhan Third Hospital

Haixin Wang

Shandong University of Science and Technology

Yuqiu Sui

Shenyang University of Technology

Shulei Li

First Bethune Hospital of Jilin University

Xuewei Ding

State Key Laboratory of Heavy Oil

Jiazheng Sun

China University of Mining and Technology

Abhinav Shrivastava

University of Maryland, College Park

Jingwei Yuan

Chinese Academy of Agricultural Sciences

Cooperative Institutions

Chinese Academy of Sciences

University of Chinese Academy of Sciences

Shenyang University of Technology

Shanghai Electric (China)

State Grid Corporation of China (China)

Electric Power Research Institute

Sichuan University

Huazhong University of Science and Technology

Tianjin University

Southwest Minzu University

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Low Frequency Oscillation Mode Identification Algorithm Based on VMD Noise Reduction and Stochastic Subspace Method

2022 Power System and Green Energy Conference (PSGEC) (2022)

Yanjun Zhang Peng Zhao Ziyang Han Luyu Yang Junrui Chen

Low-frequency oscillation (LFO) is a security and stability issue that the power system focuses on, measurement data play an important role in online monitoring and analysis of low-frequency oscillation parameters. Aiming at the problem that the measurement data containing noise affects the accuracy of modal parameter identification, a VMD-SSI modal identification algorithm is proposed, which uses the variational modal decomposition algorithm (VMD) for noise reduction combined with the stochastic subspace algorithm for identification. The VMD algorithm decomposes and reconstructs the initial signal with certain noise, and filters out the noise signal. Then, the optimized signal is input into stochastic subspace identification algorithm(SSI), the modal parameters is obtained. Simulation of a three-machine ninenode system verifies that the VMD-SSI mode identification algorithm has good anti-noise performance.

Signal subspace

Identification

Oscillation (cell signaling)

Low-frequency oscillation

SIGNAL (programming language)

10.1109/psgec54663.2022.9881194

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Citations (4)

Secure Data Storage based on Integrated Encryption Technology in Cloud Environment

Yongqi Ai Weiliang Li Xuewei Ding Xinyi Zhang Qingqing Shang

Cloud storage

10.1109/iacis61494.2024.10721898

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Citations (0)

Human Interactions and Responsive Logos on Common Sense

Advances in intelligent and soft computing (2012)

Yufeng Lei Luyu Yang

Logos Bible Software

Common sense

10.1007/978-3-642-25437-6_67

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Influence Analysis and Control of PMSG Wind Farm on Subsynchronous Oscillation of Synchronous Generator

2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2) (2022)

Qi Jia Xueying Wang Qiang Zhang Jiajue Li Hongyan Zhao

Aiming at the problem of subsynchronous oscillation (SSO) of synchronous generator (SG) induced by the grid connection of wind farms, this paper incorporates time-domain simulation and measurement discrimination method, analyzing the influence of PMSG wind farms damping characteristics of different SSO modes on SG. Using the signal discrimination method, the free response characteristics of SG rotor speed disturbance are observed, the interaction between PMSG wind farm and SG is identified, revealing the effect on the SSO of SG from PMSG wind farm operational conditions and control parameters. By adding a subsynchronous damping controller (SSDC) to the PMSG wind turbine, the SSO of SG is restrained. At last, verifying the effectiveness of the theoretical analysis and control strategy, which is based on PSCAD time-domain simulation.

Oscillation (cell signaling)

10.1109/ei256261.2022.10117448

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Learning Semantic Correspondence with Sparse Annotations

arXiv (Cornell University) (2022)

Shuaiyi Huang Luyu Yang Bo He Songyang Zhang Xuming He

Finding dense semantic correspondence is a fundamental problem in computer vision, which remains challenging in complex scenes due to background clutter, extreme intra-class variation, and a severe lack of ground truth. In this paper, we aim to address the challenge of label sparsity in semantic correspondence by enriching supervision signals from sparse keypoint annotations. To this end, we first propose a teacher-student learning paradigm for generating dense pseudo-labels and then develop two novel strategies for denoising pseudo-labels. In particular, we use spatial priors around the sparse annotations to suppress the noisy pseudo-labels. In addition, we introduce a loss-driven dynamic label selection strategy for label denoising. We instantiate our paradigm with two variants of learning strategies: a single offline teacher setting, and mutual online teachers setting. Our approach achieves notable improvements on three challenging benchmarks for semantic correspondence and establishes the new state-of-the-art. Project page: https://shuaiyihuang.github.io/publications/SCorrSAN.

Dictionary Learning

Ground truth

Variation (astronomy)

10.48550/arxiv.2208.06974

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Modeling and Simulation of Indirect Collector Solar Hot Water Heating System Based on TRNSYS

Journal of Physics Conference Series (2023)

Dawei Hu Hengyu Liu Yidong Zhu Tianyu Zhang Jun Wang

Abstract The use of solar energy is one of the important ways of clean energy heating in rural areas in the north, and the collector solar water heating system is an effective way to use solar energy. This paper takes a typical single residential house in a rural area of Shenyang as a research case to design an indirect collector solar hot water heating system. Based on the meteorological data of the winter heating period (November 1 - March 31 of the following year) in Shenyang, TRNSYS software was used to research the heat collection efficiency and scheme design of the heating system. The research results showed that: 1) The best material of the heat exchange coil of the hot water storage tank in the solar water heating system of the indirect collector is stainless steel with a thickness of 0.8mm; 2) The optimal installation angle of solar collectors in Shenyang is 55°; 3) The optimal area of the heat exchanger coil in the hot water storage tank is 4.40m 2 .

TRNSYS

Storage water heater

Solar water heating

Heating system

10.1088/1742-6596/2503/1/012066

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Citations (2)

Influence of crop residue-induced Fe-DOC complexation on nitrate reduction in paddy soil

The Science of The Total Environment (2024)

Jun Xing Qiwu Wang Luyu Yang Yizhou Liu Peifang Wang

Crop Residue

10.1016/j.scitotenv.2024.172510

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Citations (1)

Membrane technologies for supply water treatment system

Membrane science and technology/Membrane science and technology series (2001)

Luyu Yang

Turbidity

Source

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Citations (0)

A Temperature Control Method of Electric Heating Furnace Based on Fuzzy PID

Journal of Physics Conference Series (2023)

Dawei Hu Hengyu Liu Yidong Zhu Qingxin Li Jun Wang

Abstract The traditional PID control method has a series of problems such as overshoot or static error. This paper takes the electric heating furnace temperature control system as the background, combines the fuzzy algorithm to design the fuzzy PID system, and uses the MATLAB fuzzy control box to set up the fuzzy reasoning system and the fuzzy rule table., and use the Simulink platform to build the temperature control system simulation model of ordinary PID and fuzzy PID, and verify the influence of parameters on the system.

Overshoot (microwave communication)

Heating system

10.1088/1742-6596/2503/1/012101

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Citations (5)

Evaluation of coiling endovascular technique on treatment of Middle cerebral artery cerebral aneurysms in different blood haematocrits: numerical study

International Journal of Modern Physics C (2024)

Wankang Dian Wenkai Zhang Shouzhi Fu Luyu Yang Jiaying Li

10.1142/s0129183124502528

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Citations (1)