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The Transformation of the Spatial Structure of an Economy in the Crisis and Post-Crisis Periods

Regional research of Russia 2022年第4期12卷 451-458页

作者： Kuznetsova, O.V. Federal Research Center “Computer Science and Control ” Russian Academy of Sciences Moscow Russian Federation

Abstract—: This article is a review of global and Russian research on features and patterns of the development of regions of a country in crisis and post-crisis periods. It is shown that the theoretical foundation of studies on this issue is the concept of regional resilience, as developed in global research since the 2010s. The features of the resilience concept are analyzed and compared with regional growth theories and economic security studies. Factors that influence the resilience of regions of a country to economic crises are summarized: they include features of a region’s settlement system (the ratio of the urban to rural populations) and its position in the national settlement system (location in relation to large urban agglomerations), the structure of the region’s economy (level of diversification, specific features of specialization and employment structure), innovation potential and quality of human capital, cohesion of the local community, and quality of public administration. It is noted that differences in regional resilience levels are consistent;in particular, the features of regional spatial development observed during the current crisis (associated with the COVID-19 pandemic) follow previously established patterns. Negative consequences of crises, specifically, regional divergence and reduced inclusiveness of economic growth, are also described. Issues of transforming the state spatial development policy during crisis periods, as well as opportunities for managing regional resilience, are discussed. © 2022, Pleiades Publishing, Ltd.

关键词： economic structure governance quality human capital regional policy regional resilience settlement system

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A new appearance-based gaze estimation via multi-modal fusion 3

A new appearance-based gaze estimation via multi-modal fusio...

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3rd International Conference on Neural Networks, Information and Communication engineering, NNICE 2023

作者： Yang, Huijie Yang, Zuoyun J., Liu J., Chi School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China School of Automation and Electrical Engineering University of Science and Technology Beijing Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education Beijing China

ISBN: (纸本)9798350335972

Appearance-based gaze estimation has gained more and more attention because of its generality, robustness, and subject independence. Deep learning, which has made a great deal of success in computer vision, has also greatly improved the accuracy of appearance-based gaze estimation. To further reduce the error in gaze estimation, we focus on extracting better feature information from eye and face images. In this paper, we propose a novel multimodal fusion gaze estimation model based on ConvNext and dilated convolution. In this model, the eye image and face image are used as input, and the ConvNext network is used to extract the features of the face image and the eye features are extracted by a dilated convolution-based network, and the feature map of the two images are fused using the fully connected layer to perform gaze estimation. In the experimental part, the designed model is verified on the public dataset MPIIGaze, and compared the proposed model with other gaze estimation models. The experimental results show that our proposed method has greatly improved the accuracy of gaze estimation on the MPIIGaze dataset compared to other related works. Our proposed multimodal fusion gaze estimation model achieves state-of-the-art result on the MPIIGaze dataset. © 2023 IEEE.

关键词： Convolution

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Safe Distance Model and Improved Consensus control Algorithm for Virtual Coupling of High-speed Train 6

Safe Distance Model and Improved Consensus Control Algorithm...

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6th International Conference on Traffic engineering and Transportation System, ICTETS 2022

作者： He, Runze Zhang, Yadong School of Information Science and Technology Southwest Jiaotong University Chengdu611756 China Sichuan Engineering Research Center of Train Operation Control Technology Chengdu611756 China

ISBN: (纸本)9781510663053

Virtual coupling is an innovative train control mode, which enables trains to track at very small headway and significantly improve the transport capacity. However, such small headways are challenges to safety and control system. To ensure the safe operation of virtual coupling and reduce the risk of collision accidents, this research proposed a refined virtual coupling train safe distance model and an improved consensus control algorithm. Firstly, the virtual coupling emergency braking process is analyzed while considering the processing of information transferring and on-board equipment handling in the scene. A refined safe distance model with higher safety is proposed based on the analysis. Secondly, an improved multi-agent information consensus distance control algorithm for virtual coupling is proposed. The improvement makes the algorithm consider both the convergence speed and coupling stability effectively, is adaptive for various virtual coupling scenes. Thirdly, real train data and rail line data are imported, and train dynamic model is established to verify the convergence ability and adaptability of the proposed algorithm by simulation. © 2023 SPIE.

关键词： Multi agent systems

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Learning from ChatGPT: A Transformer-Based Model for Wind Power Forecasting

Learning from ChatGPT: A Transformer-Based Model for Wind Po...

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2023 IEEE International Conference on Environment and Electrical engineering and 2023 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2023

作者： Dai, Xiaoran Liu, Guo-Ping Hu, Wenshan Lei, Zhongcheng Zhou, Hong School of Electrical Engineering and Automation Wuhan University Wuhan China Center for Control Science and Technology Southern University of Science and Technology Shenzhen China

ISBN: (纸本)9798350347432

Wind power forecasting is a crucial aspect of re-newable energy production, as it helps to optimize energy output and ensure grid stability. In recent years, Transformer-based language models such as ChatGPT have been successfully used in natural language processing tasks, but their application in wind power forecasting remains largely unexplored. In this article, we propose using a Transformer model, the core of ChatGPT, to improve the accuracy of wind power forecasting. Using the self-attention mechanism, the developed model can capture the complex temporal relationships in large-scale time series data. Furthermore, the proposed method is evaluated on a test set using various performance metrics. Results show that our model outperforms traditional forecasting models, achieving higher accuracy. Our findings suggest that Transformer-based models have significant potential for improving wind power forecasting accuracy and ultimately contributing to a more sustainable energy future. © 2023 IEEE.

关键词： Time series

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Predefined time attitude control for quadrotor UAV with output constraints and input saturation

Predefined time attitude control for quadrotor UAV with outp...

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2024 China Automation Congress, CAC 2024

作者： Li, Shuo Pei, Hailong Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle Systems College of Automation Science and Enginneering South China University of Technology Guangzhou510640 China Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Guangdong Engineering Technology Research Center of Unmanned Aerial Vehicle Systems School of Automation Science and Enginneering South China University of Technology Guangzhou510640 China

ISBN: (纸本)9798350368604

In this paper, we examine the predefined time flight control of a quadrotor UAV with output constraints and input saturation. The attitude tracking error of UAV is constrained by the tan-type barrier Lyapunov function. The undesirable effects of the saturated input limitations are addressed by introducing an auxiliary system. Then a predefined time tracking control strategy is designed and the stability of the scheme is analyzed. Eventually, the simulation results show the method allows the angular tracking error to converge to the specified range in a predefined time. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Study on Intelligent Driving School Vehicle System Based on Digital Twin Technology 8th

Study on Intelligent Driving School Vehicle System Based on ...

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8th International Conference on Advances in Construction Machinery and Vehicle engineering, ICACMVE 2023

作者： Zhang, Xinran Bian, Yongming Yang, Meng Shao, Jie Tongji University School of Mechanical Engineering Shanghai201804 China Tongji University National Engineering Technology Research Center for Prefabrication Construction in Civil Engineering Shanghai200092 China Shanghai Engineering Research Center for Safety Intelligent Control of Building Machinery Shanghai200032 China

ISBN: (纸本)9789819718757

The development of intelligent vehicle systems has progressed through multiple stages, evolving from initial basic functionalities to the integration of intelligent and automated technologies, achieving significant advancements. With technological advancements, intelligent vehicle systems have gradually introduced driving assistance features such as autonomous driving assistance and adaptive cruise control. In response to the developmental needs of intelligent driving school vehicle systems, a comprehensive research proposal is presented based on digital twin technology. By incorporating a multi-source data acquisition module, real-time collection and monitoring of various sensor data within the driving school vehicles are achieved, ensuring the acquisition of crucial information during the driving process. To facilitate efficient communication between the data monitoring center and the driving school vehicles, a driving school local area network is established, providing a solid foundation for data transmission and real-time monitoring. A user-friendly and intuitive front-end interface is designed to visualize vehicle status information and student driving data for instructors, enhancing the efficiency and effectiveness of driving school education. Finally, based on practical application tests, data processing of coordinate information is conducted and showcased in the front-end interface, validating the feasibility and practicality of the designed system in driving school vehicle management and educational training. © The Author(s) 2024.

关键词： Adaptive control systems

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Speech Recognition of Vedic Sanskrit using Deep Learning Algorithm 6

Speech Recognition of Vedic Sanskrit using Deep Learning Alg...

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6th International Conference on Information Systems and Computer Networks, ISCON 2023

作者： Pandey, Mrinal Pandey, Rashmikiran Nazarov, Alexey Moscow Institute of Physics and Technology Department of Radio Engineering and Cybernetics Moscow Russia Federal Research Center Computer Science and Control Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9798350346961

In this study, we examined the use of computational techniques for accurately processing acoustic signals of human speech using digital media. Specifically, we focused on the Sanskrit language and applied a language modeling approach to improve recognition by machines. Our implementation of this approach for Sanskrit speech represents a novel approach in the field and has the potential to extract valuable information through automated processing. The ability to accurately process speech is crucial for effective human communication, and our research contributes to the development of more efficient and effective methods for achieving this goal... © 2023 IEEE.

关键词： Speech recognition

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Uncovering Microstructure-Property Relationship in Ni-Alloyed Fe-Mn-Al-C Low-Density Steel Treated by Hot-Rolling and Air-Cooling Process

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Acta Metallurgica Sinica(English Letters) 2024年第4期37卷 713-725页

作者： Xiaoliang Jia Guhui Gao Xiaolu Gui Chun Feng R.D.K.Misra Bingzhe Bai School of Mechanical Electronicand Control EngineeringBeijing Jiaotong UniversityBeijing100044China CNPC Tubular Goods Research Institute Xi’an710077China Laboratory for Excellence in Advanced Steel Research University of Texas at El PasoEl PasoTX79968-0521USA School of Material Science and Engineering Key Laboratory of Advanced Materials of Ministry of EducationTsinghua UniversityBeijing100084China

This paper focuses on the relationship between the microstructure and tensile properties of Fe-Mn-Al-C low-density high-strength steel processes by hot-rolling and air-cooling process. The microstructure analysis reveals that the combination of hot-rolling and air-cooling results in the formation of heterogeneous structures comprising different-sized γ and B_(2) phases in the low-density steel with the addition of nickel (Ni). The addition of Ni promotes the formation of the B_(2) phase and induces the pinning of B_(2) phase particles at the γ grain boundaries. This pinning effect effectively hinders the growth of the γ grains, leading to grain refinement. The tensile test results demonstrate that LDS-5Ni (low-density steel, LDS) exhibits excellent high strength and ductility combination, e.g., a tensile strength of 1535 MPa, yield strength of 1482 MPa, and elongation of 23.3%. These remarkable mechanical properties are primarily attributed to the combined strengthening contributions of grain refinement and duplex nano-sized second-phase precipitation hardening.

关键词： Low-density steel Microstructure B_(2)phase κ-Carbide Tensile properties

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Effects of plasma spraying process on microstructure and mechanical properties of Cr_(2)AlC/410 composite coatings

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High-Speed Railway 2024年第2期2卷 110-115页

作者： Yihu Ma Chaosheng Ma Guozheng Ma Wenbo Yu Center of Materials Science and Engineering School of Mechanical and Electronic Control EngineeringBeijing Jiaotong UniversityBeijing 100044China National Key Lab for Remanufacturing Army Academy of Armored ForcesBeijing 100072China

To investigate the influences of Cr_(2)AlC mass fraction and supersonic plasma spraying process on the microstructure and mechanical properties of Cr_(2)AlC reinforced 410 stainless steel composite coatings,the coatings containing different mass fractions of Cr_(2)AlC were prepared and *** composite coating exhibited low porosity and high adhesion *** addition of Cr_(2)AlC significantly enhanced the hardness of the composite coatings through particle ***,when the mass fraction of Cr_(2)AlC was 20%,the aggregation of Cr_(2)AlC resulted in a strong decrease in the coating preparation efficiency,as well as a decline in adhesion *** the supersonic plasma spraying process,the Ar flow rate mainly influenced the flight velocity of the particles,while the H_(2) flow rate and the current mainly affected the temperature of the plasma ***,all of them influenced the melting degree of particles and the quality of the *** lowest porosity and the highest hardness and adhesion strength could be obtained when the Ar flow rate is 125 L/min,the H_(2) flow rate is 25 L/min,and the current is 385 A.

关键词： MAX phase Plasma spray Parameter Coating

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Towards a unified framework for identity documents analysis and recognition

Computer Optics

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Computer Optics 2022年第3期46卷 436-454页

作者： Bulatov, K.B. Bezmaternykh, P.V. Nikolaev, D.P. Arlazarov, V.V. Federal Research Center "Computer Science and Control" of RAS Moscow Russia Moscow Russia Smart Engines Service LLC Moscow Russia

Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation and preventing fraud, with an increasingly high cost of error. A significant amount of research is directed to the creation of ID analysis systems with a specific focus for a subset of document types, or a particular mode of image acquisition, however, one of the challenges of the modern world is an increasing demand for identity document recognition from a wide variety of image sources, such as scans, photos, or video frames, as well as in a variety of virtually uncontrolled capturing conditions. In this paper, we describe the scope and context of identity document analysis and recognition problem and its challenges;analyze the existing works on implementing ID document recognition systems;and set a task to construct a unified framework for identity document recognition, which would be applicable for different types of image sources and capturing conditions, as well as scalable enough to support large number of identity document types. The aim of the presented framework is to serve as a basis for developing new methods and algorithms for ID document recognition, as well as for far more heavy challenges of identity document forensics, fully automated personal authentication and fraud prevention. © 2022, Institution of Russian Academy of sciences. All rights reserved.

关键词： Video streaming

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