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检索条件"任意字段=2021 5th International Workshop on Advanced Algorithms and Control Engineering, IWAACE 2021"

共 31 条记录，以下是11-20 订阅

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Detection of False Data Injection Attacks Based on Kalman Filter and controller Design in Power System LFC 5

Detection of False Data Injection Attacks Based on Kalman Fi...

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2021 5th international workshop on advanced algorithms and control engineering, iwaace 2021

作者： Zhu, Rujun Huang, Chongxin Deng, Song Li, Yichen College of Automation and College of Artificial Intelligence Nanjing University of Posts and Telecommunications Nanjing Jiangsu210023 China Institute of Advanced Technology Nanjing University of Posts and Telecommunications Nanjing Jiangsu210023 China

False data injection attacks pose a great threat to the safe and stable operation of power systems. therefore, the detection and defense of false data injection attacks in LFC systems is becoming more and more important. First, based on the equivalent model of the LFC system and the Kalman filter algorithm, this paper proposes a false data injection attack detection method;secondly, a robust controller is used to reduce load disturbances according to the operating characteristics of the LFC system;then the idea of switching links is proposed to reduce the impact of cyberattack on the system;finally, MATLAB/Simulink software is used to carry out simulation tests. the test results verify the effectiveness of the false data injection attack detection method and switch link defense method proposed in this paper. © Published under licence by IOP Publishing Ltd.

关键词： Kalman filters

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Attitude control System Design and Simulation for the SVOM Mission 5

Attitude Control System Design and Simulation for the SVOM M...

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2021 5th international workshop on advanced algorithms and control engineering, iwaace 2021

作者： Liu, Shuang Qin, Genjian Li, Dong Li, Jinsong Innovation Academy for Microsatellites of CAS Shanghai201203 China Shanghai Engineering Center for Microsatellites Shanghai201203 China

SVOM is an astronomical satellite used to observe a collection of Gamma Ray Burst and other targets. the general pointing attitude is inertial pointing in J2000 coordinate. As the telescope's exposure time will be 100s or even longer, the satellite platform should provide severe stability during the exposure period. this article describes the design of Attitude control System (ACS) for SVOM satellite. First, ACS' key performance requirements are presented which include the extremely high stability target, 0.8 arcsec/100s along Ys and Zs axes. Second, ACS hardware selected and bus design are discribed. then, the ACS modes and transfer logic are introduced. Next, the controller design and simulation results are given. At last, the conclusion is obtained and all the required index are fulfilled by current ACS design. © Published under licence by IOP Publishing Ltd.

关键词： Astronomical satellites

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Study on Optimal Operation Mode of One-key Sequence control in Substation 5

Study on Optimal Operation Mode of One-key Sequence Control ...

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2021 5th international workshop on advanced algorithms and control engineering, iwaace 2021

作者： Wang, Yang Li, Hengxuan Shiping, E. Zhang, Kanjun Chen, Qianchen Hu, Xin Cao, Shang Luo, Xiaotong State Grid Hubei Electric Power Co. Ltd. Wuhan Hubei Province430077 China Electric Power Research Institute State Grid Hubei Electric Power Co. Ltd. Wuhan Hubei Province430077 China Wuhan Haomai Power Automation Technology Co. Wuhan Hubei Province430074 China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science AndTechnology Wuhan Hubei Province430074 China

At present, some substations have carried out sequential control pilot applications, but there are generally problems such as inconsistent operation methods, narrow operation coverage, incomplete typical functions, and complicated manual intervention links. the article constructs a multi-objective comprehensive evaluation model of operation mode based on the one-key sequential control operation mode of different application scenarios. this article establishes the weights of various indicators including operation efficiency, economic benefits and other factors, conducts a comprehensive evaluation and proposes an optimal operation mode. through actual cases, the article also analyzes the functional transformation scheme of one-key sequence control technology of intelligent substation. © Published under licence by IOP Publishing Ltd.

关键词： Condensed matter physics

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An Attention-based Convolutional Neural Network for Melanoma Recognition 5

An Attention-based Convolutional Neural Network for Melanoma...

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2021 5th international workshop on advanced algorithms and control engineering, iwaace 2021

作者： Chen, Qi Wang, Lidan Gan, Xiuling Duan, Shukai Southwest University College of Electronic and Information Engineering Chongqing400715 China Southwest University College of Artificial Intelligence Chongqing400715 China Brain-inspired Computing and Intelligent Control of Chongqing Key Lab Chongqing400715 China National and Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing400715 China Chongqing Brain Science Collaborative Innovation Center Chongqing400715 China

Early automatic and accurate melanoma recognition is an important method to reduce melanoma deaths. Existing methods are less sensitive to the position of the lesion areas. Network training may be affected by the uncorrelated noisy parts. In light of this circumstance, an end-to-end attention-based network AF-CNN for accurate melanoma recognition is proposed in this paper, which is mainly composed of pre-trained VGG19, attention blocks and a classification layer. Instead of treating each part of the input dermoscopy images equally, our AF-CNN model has strong discriminative ability to focus on the lesion areas. the AF-CNN was evaluated on the ISIC2017 dataset and concluded the proposed single model achieves the state-of-the-art result in melanoma recognition task. © Published under licence by IOP Publishing Ltd.

关键词： Dermatology

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Implicit generalized predictive control method for high-speed train 5

Implicit generalized predictive control method for high-spee...

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2021 5th international workshop on advanced algorithms and control engineering, iwaace 2021

作者： Sun, Tao He, Lijuan Wuhan Railway Vocational College of Technology Wuhan Hubei China School of Electrical and Automation Wuhan Railway Vocational College of Technology Wuhan Hubei China

the running process of the train which can high speed running is a typical nonlinear process, and with the higher and higher velocity of the train which can be driven extremely fast, the characteristics of the nonlinear will be stronger than before, which leads to higher requirements for the design of the "Automatic Train Operation"driving system. Aiming at the characteristics of high-speed train running speed fast, complex operation process and strong nonlinearity, the mathematical model establishment and the speed tracking control method are studied. this article uses a data-driven modeling method. Firstly, the actual operation data of high-speed trains based on traction and braking forces are divided into two parts: traction and braking. then, the linear models of the traction and braking models of the train, which can be driven very fast, are established respectively. these two models adopt the recursive least square method. then use implicit generalized predictive control to achieve tracking control of high-speed train speed. the simulation results based on the operating process data of CRH380AL is given that this method can make the requirements that belong to high-speed train operation. © Published under licence by IOP Publishing Ltd.

关键词： Least squares approximations

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Research on the Construction and Practice of JAVA Curriculum Group Based on EIP-CDIO Mode 6

Research on the Construction and Practice of JAVA Curriculum...

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6th international workshop on advanced algorithms and control engineering, iwaace 2022

作者： Yang, Weiping Xiao, Xiaoxu Guangzhou International Economics College Guangzhou China

ISBN: (纸本)9781510657755

At present, engineering education emphasizes the development of students' skills and the cultivation of their professional quality. the society has a high demand for students' technical ability and professional quality, but there are many problems in the process of practical teaching. Faced with the demand of the current software development employment market, many colleges and universities regard Java-related courses as the core curriculum system of computer specialty. the system has many contents and strong relevance. If there is no comprehensive teaching design and reasonable practice cases, we can not really achieve the goal of training applied talents. Due to the complexity of Java course group, it is difficult for students to really understand it. To improve the teaching effect of the course, the construction and practice method of Java course group based on EIP-CDIO mode is studied. the basic information of students is collected and recorded in the teaching system in the form of data. the construction and practice of Java course group are carried out, and the effect of construction and practice is comprehensively analyzed. the final results of Java class (1) and class (2) are compared to further determine the effect of construction and practice of Java course group. the results show that the academic performance of students in Class 1 is significantly higher than that in Class 2, and the construction and practice of Java course group is better. It shows that under the EIP-CDIO mode, the construction and practice of Java course group has achieved remarkable results, which is of great significance to the development of software development. © 2022 SPIE.

关键词： Students

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Target driven IP Geolocation Algorithm 5

Target driven IP Geolocation Algorithm

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2021 5th international workshop on advanced algorithms and control engineering, iwaace 2021

作者： Wang, Zhanfeng Niu, Yan Chen, Hao Cheng, Guang Cui, Jiawei Zhang, Zhiyi School of Computer Science and Engineering Southeast University Nanjing211189 China China Academy of Industrial Internet Beijing100102 China China Telecom Jiangxi Branch Provincial Network Operation and Management Department Nanchang210003 China College of Cyberspace Security Southeast University Nanjing211189 China The 54th Research Institute of CETC Shijiazhuang050081 China

IP Golocation is an important technique to achieve network attack traceability, network security early warning, and improve the ability of cyberspace governance. Due to the limitation of collecting a large number of anchor nodes, it is impossible to accurately infer the IP location to block level or more in a large scale. therefore, this paper proposes a target driven IP geolocation inference method. Firstly, the candidate anchor node is collected from the subnet or the adjacent subnet of the target IP, then the candidate anchor node is calibrated by their fingerprints, and finally the geolocation of target IP is comprehensively inference by its proximity to anchors. In order to verify the proposed method, 10,000 IPs in Beijing is selected randomly. the experimental results show that the method can effectively infer the geographical location of the target IP address. © Published under licence by IOP Publishing Ltd.

关键词： Network security

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GAU-Net: U-Net Based on Global Attention Mechanism for brain tumor segmentation 5

GAU-Net: U-Net Based on Global Attention Mechanism for brain...

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2021 5th international workshop on advanced algorithms and control engineering, iwaace 2021

作者： Gan, Xiuling Wang, Lidan Chen, Qi Ge, Yongjie Duan, Shukai School of Electronic and Information Engineering Southwest University Chongqing400715 China College of Artificial Intelligence Southwest University Chongqing400715 China Brain-inspired Computing and Intelligent Control of Chongqing Key Lab Chongqing400715 China National and Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing400715 China Chongqing Brain Science Collaborative Innovation Center Chongqing400715 China

Deep learning has shown great advantages in biomedical image segmentation. the classic model U-Net uses a stacked encoding-decoding structure of convolution operations for feature extraction and pixel-level classification. the stacking of convolutional layers can expand the receptive field, but it is still a local operation and cannot capture long-distance dependence. therefore, in this work, we propose a Global Attention Mechanism that combines channel attention module and spatial attention module and integrates different convolutions in it. Besides, we design a residual module for the traditional up and down sampling blocks. And finally, we combine them with U-Net to propose a new global attention network GAU-Net. We perform experiments on the dataset BraTS2018. Our model has increased the mIoU from 0.65 to 0.75 with only 5.4% of U-Net parameters. At the same time, the inference time is also significantly shortened with relatively good performance. © Published under licence by IOP Publishing Ltd.

关键词： Convolution

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Chinese image caption of Inceptionv4 and double-layer GRUs based on attention mechanism 5

Chinese image caption of Inceptionv4 and double-layer GRUs b...

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2021 5th international workshop on advanced algorithms and control engineering, iwaace 2021

作者： Pan, Yongbin Wang, Lidan Duan, Shukai Gan, Xiuling Hong, Liangyi College of Electronic and Information Engineering Southwest University Chongqing400715 China College of Artificial Intelligence Southwest University Chongqing400715 China Brain-inspired Computing and Intelligent Control of Chongqing Key Lab Chongqing400715 China National and Local Joint Engineering Laboratory of Intelligent Transmission and Control Technology Chongqing400715 China Chongqing Brain Science Collaborative Innovation Center Chongqing400715 China

In recent years, there has been a wave of research on English image caption at home and abroad. However, due to the particularity of Chinese image caption task, the research on Chinese image caption has not made good progress. In order to solve this problem, a new Chinese image caption model is implemented. Firstly, the AI challenge dataset is enhanced, and then the Chinese text data of the dataset is preprocessed by Chinese word segmentation tool word2vec. Secondly, based on the encoder-decoder framework, the image visual features are extracted by Inceptionv4 network, the attention mechanism is incorporated in the process of feature extraction and the Chinese sentences are generated by double-layer GRUs network. In the process of training, Adam is used to optimize the algorithm. Finally, A GUI interface is designed to better show the experimental effect. Experiments show that the new Chinese image caption model can automatically generate more fluent and more accurate Chinese caption sentences, and the trained model has excellent performance in many evaluation indexes. © Published under licence by IOP Publishing Ltd.

关键词： Network layers

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PowerLab: a flexible experimental architecture for smart microgrid testing 21

PowerLab: a flexible experimental architecture for smart mic...

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21st IEEE international Conference on Environment and Electrical engineering / 5th IEEE Industrial and Commercial Power Systems Europe (EEEIC/I and CPS Europe)

作者： Sforza, Gianluca Adinolfi, Giovanna Atrigna, Mauro Buonanno, Amedeo Ciavarella, Roberto Merola, Angelo Pascarella, Francesco Ricca, Antonio Valenti, Maria Graditi, Giorgio ENEA Dept Energy Technol & Renewable Energy Sources Rome Italy

ISBN: (纸本)9781665436137

Y Interest in microgrids is advancing as they contribute to local energy management while preserving the main grid operation. However, their introduction poses problems of reliability, particularly when renewable sources are present. therefore, devices and management systems need preliminary tests in lab facilities using emulators before their deployment on the field. this paper presents an architecture designed to help researchers test the envisioned management algorithms and control techniques on a lab-scale microgrid facility. On that base, a prototype control system was implemented to assess the operation in close to real conditions of an advanced control logic aiming at avoiding congestion issues. the physical architecture of the microgrid was easily adapted to the purpose. Results show that the microgrid effectively acted as expected, following the commands dispatched by the control system.

关键词： smart microgrid renewables energy emulators advanced control

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