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The geoscience knowledge system,ontology and knowledge graph for data-driven discovery:Preface

Geoscience Frontiers 2023年第5期14卷 332-333页

作者： Xiumian Hu Xiaogang Ma Chao Ma Hairong Lv School of Earth Sciences and Engineering Nanjing UniversityPR China Department of Computer Science University of IdahoUSA Institute of Sedimentary Geology Chengdu University of TechnologyPR China Department of Automation Tsinghua UniversityPR China

Earth science data have shown rapid growth since the 21st century with the improvement of experimental instruments and testing *** provides a basis for revealing the evolutionary history of life,climate,palaeogeography and economic deposits by using big ***,it is a major challenge to integrate Earth science data for the complexity of the Earth system,the great number of terminologies in Earth science,the diversity of research methods and proxies,and the diversification of data types.

关键词： knowledge methods. Earth

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Study on Landslide Susceptibility Evaluation Based on Improved Multivariable Weighted Model: A Case Study of Lushan County, China 3

Study on Landslide Susceptibility Evaluation Based on Improv...

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3rd IEEE International Conference on Software engineering and Artificial Intelligence, SEAI 2023

作者： Zhao, Li Duan, Gonghao Wuhan Institute of Technology School of Computer Science and Engineering Wuhan China Automation for Complex Systems Hubei Key Laboratory of Advanced Control and Intelligent Wuhan China

ISBN: (纸本)9798350337952

The evaluation of regional geological hazard susceptibility is of great significance to the prevention and control of geological hazard. In this paper, the "4-20"Lushan earthquake disaster area as the research area, combined with GIS and characteristics of the research area, through correlation analysis, selected 9 influencing factors as the evaluation factors. The study was conducted using a weighted information volume-logistic regression model (WI-LR). The results were classified into five sensitivity levels: very low, low, medium, high and very high. The results show that the landslide prone areas in Lushan County are concentrated in the area below the middle of the county seat, mostly near rivers, faults and areas with peak acceleration greater than 0.4. Among them, WI-LR model (AUC=0.918) > deterministic factor model (CF =0.908) > weighted information quantity model (WI) (AUC=0.896) > information quantity model I (AUC=0.853) > information quantity logistic regression model I-LR (AUC=0.799). It indicates that WI-LR model has high evaluation accuracy. © 2023 IEEE.

关键词： Hazards

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Compressed Air Energy Storage in Wind Solar Complementary Systems 2

Compressed Air Energy Storage in Wind Solar Complementary Sy...

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2nd International Conference on Clean Energy Storage and Power engineering, CESPE 2023

作者： Wang, Yanan Lei, Zhen Wu, Jiekang School of Computer Science and Engineering University of Electronic Science and Technology of China Sichuan Chengdu China School of Automation Guangdong University of Technology Guangdong Guangzhou China

ISBN: (纸本)9798350395495

Renewable energy resources are abundant and developing rapidly in the power industry. This article establishes a wind-solar energy storage hybrid power generation system and analyzes the coordinated operation of energy systems in multiple scenarios. In a multi-scenario energy environment, the hybrid wind-solar energy storage system, driven by wind and solar energy, uses compressed air as energy storage equipment and a cold water tank as an intermediate regulating element, which can absorb heat and improve compressor efficiency. Considering system operation and equipment constraints, a multi-objective optimization model was established to reasonably calculate and allocate wind energy on compressed trains and solar energy on extended trains, in order to achieve the goal of minimizing system costs and maximizing profits. The simulation results indicate that this analysis has inspiration in practical engineering applications and can provide reference value for the coordinated operation of multi-energy power supply systems. © 2023 IEEE.

关键词： Multiobjective optimization

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Cascading Delays for the High-Speed Rail Network Under Different Emergencies:A Double Layer Network Approach

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IEEE/CAA Journal of Automatica Sinica 2023年第10期10卷 2014-2025页

作者： Xingtang Wu Mingkun Yang Wenbo Lian Min Zhou Hongwei Wang Hairong Dong School of Automation Science and Electrical Engineering Beihang UniversityBeijing 100191China School of Control and Computer Engineering North China Electric Power UniversityBeijing 100096China State Key Laboratory of Advanced Rail Autonomous Operation Beijing Jiaotong UniversityBeijing 100044China National Research Center of Railway Safety Assessment Beijing Jiaotong UniversityBeijing 100044China

High-speed rail(HSR) has formed a networked operational scale in China. Any internal or external disturbance may deviate trains’ operation from the planned schedules, resulting in primary delays or even cascading delays on a network scale. Studying the delay propagation mechanism could help to improve the timetable resilience in the planning stage and realize cooperative rescheduling for dispatchers. To quickly and effectively predict the spatial-temporal range of cascading delays, this paper proposes a max-plus algebra based delay propagation model considering trains’ operation strategy and the systems’ constraints. A double-layer network based breadth-first search algorithm based on the constraint network and the timetable network is further proposed to solve the delay propagation process for different kinds of emergencies. The proposed model could deal with the delay propagation problem when emergencies occur in sections or stations and is suitable for static emergencies and dynamic emergencies. Case studies show that the proposed algorithm can significantly improve the computational efficiency of the large-scale HSR network. Moreover, the real operational data of China HSR is adopted to verify the proposed model, and the results show that the cascading delays can be timely and accurately inferred, and the delay propagation characteristics under three kinds of emergencies are unfolded.

关键词： Delay propagation double layer network high speed rail network max-plus algebra

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Research and Development of Monitoring and Display Terminals for Digital Switchgears at Substation

Research and Development of Monitoring and Display Terminals...

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Annual Siberian Russian Workshop on Electron Devices and Materials (EDM)

作者： Sergey E. Repin Igor D. Karpov Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

Medium voltage distribution equipment plays a key role in ensuring reliable operation of electrical systems. Given the rapid development of the electric power industry, new ways to increase the stability and efficiency of electric grids are emerging. In this regard, there is a need to improve the devices used in switchgears at substations. This article examines the creation of a device for monitoring and controlling electrical parameters at a substation using modern data transmission protocols. Among other things, the equipment of a modern substation, data transmission protocols and control and measuring devices are being studied. Attention is also paid to ensuring reliable data backup in the substation’s information network using PRP. A structural and functional diagram of a device combining the functions of monitoring and displaying information, as well as analog data aggregation, is being developed. The article is aimed at creating a device for monitoring electrical parameters at a substation, taking into account the convenience of use and modern data transmission protocols such as IEC-60870-104 and IEC-61850, for data exchange in a SCADA system and with relay protection devices, as well as ensuring reliable data backup in the substation information network via PRP.

关键词： Substations Protocols Redundancy SCADA systems Protective relaying Switches Power system stability

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Time Transfer and Clock Synchronization Analysis over Spine-Leaf Networks

Time Transfer and Clock Synchronization Analysis over Spine-...

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IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication, ISPCS

作者： Alberto Ortega Víctor Vázquez Carlos Megías Jesús González Manuel Rodríguez-Álvarez Javier Díaz Eduardo Ros Department of Computer Engineering Automation and Robotics CITIC University of Granada Granada Spain

ISBN: (数字)9798350366112

ISBN: (纸本)9798350366129

The integration of a time synchronization and time transfer system in data center networks is an increasingly common demand. Since moving the entire infrastructure of a data center network to switches with time-dedicated hardware is nowadays a considerable expense of resources, it is convenient to analyze and study it. In this paper we work on real hardware, presenting a characterization of the problem for a Spine-Leaf network by means of load variation tests proposed by the ITU, using the PTP protocol and common non-PTP aware switches. Through this study we manage to show, thanks to real measurements, the problem of dynamic asymmetry and how it affects the time distribution. Additionally, it is shown that if the network load is quadrupled, the PTP pk-pk offset through the network does not even double. Finally, thanks to long-term tests, we can conclude that time synchronization in a Spine-Leaf network shows considerable resilience to load changes.

关键词： Data centers Protocols Load management Time measurement Hardware ITU Synchronization Resilience

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Differential Morphing Attack Detection via Triplet-Based Metric Learning and Artifact Extraction 23

Differential Morphing Attack Detection via Triplet-Based Met...

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23rd International Conference of the Biometrics Special Interest Group, BIOSIG 2024

作者： Liu, Chengcheng Ferrara, Matteo Franco, Annalisa Borghi, Guido Zhong, Dexing Xi'an Jiaotong University School of Automation Science and Engineering Xi'an710049 China University of Bologna Department of Computer Science and Engineering Cesena47521 Italy University of Modena and Reggio Emilia Department of Education and Humanities Reggio Emilia42121 Italy

ISBN: (纸本)9798350373714

Face morphing attack has been demonstrated to pose significant security risks to face recognition systems. Therefore, recently, developing reliable Morphing Attack Detection (MAD) techniques has become an important research priority. This paper considers the failure of regular face recognition systems in handling morphed faces from the perspective of identity feature space, arguing that the morphed image creates a 'pathway' between the two subjects involved in the morphing generation process. This 'pathway' causes automatic face recognition systems to misidentify the morphed face as either contributing subjects. Based on this insight and considering the characteristics of the Differential Morphing Attack Detection (D-MAD) scenario (i.e., both the potential morphing attack image and the trusted live face image are accessible), we propose an end-to-end D-MAD solution based on metric learning with triplet feature separation and artifact analysis. The proposed approach aims to break the 'pathway' created by the morphed image in the identity feature space and to incorporate latent artifact features of the potential morphed image for D-MAD. Comparative results on different public benchmarks indicate that the proposed solution demonstrates satisfactory performance against state-of-the-art algorithms. © 2024 IEEE.

关键词： Contrastive Learning

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Memristor Modeling with Homeostatic Threshold Variation for Simulation and Application

Memristor Modeling with Homeostatic Threshold Variation for ...

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2023 International Conference on Neuromorphic Computing, ICNC 2023

作者： Shi, Xinming Wang, Zilu University of Birmingham School of Computer Science BirminghamB15 2TT United Kingdom Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen518000 China School of Mechanical Engineering and Automation Shenzhen518000 China

ISBN: (纸本)9798350316889

This paper proposes a novel approach to emulating biological neural components using memristors. The nanoscale, resistance variability, and non-volatility of the memristor make it a suitable candidate for this task. A homeostasis-type switching mechanism is induced into the memristor modeling, inspired by the homeostatic switching behavior of biological neural components. The proposed model is generalizable and adaptable to various threshold-type memristor models. A SPICE model is proposed, and the memristor model is utilized to implement a neuron circuit that follows the homeostasis-type mechanism. A spiking neural network and its verification platform are designed, where pattern recognition can be achieved. The simulation is carried out in Cadence PSPICE, and a test comparison between scenarios with homeostasis and non-homeostasis is proposed. This work demonstrates the potential of memristors in implementing neuromorphic computing systems. © 2023 IEEE.

关键词： Memristors

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Energy Demand of Vessels Depending on Current Wind Conditions

Energy Demand of Vessels Depending on Current Wind Condition...

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European Control Conference (ECC)

作者： Agnes U. Schubert Robert Damerius Torsten Jeinsch Institute of Automation Faculty of Computer Science and Electrical Engineering University of Rostock Germany

ISBN: (数字)9783907144107

ISBN: (纸本)9798331540920

The paper describes a method for estimating the energy consumption of a vessel as a function of the current wind conditions and surge velocity. Wind forces have a great influence on ship motion, especially at low speeds, e.g. in narrow waterways. Therefore, in order to minimize the energy required for maneuvering, attention must be paid to the wind and the pose of the vessel to the wind. Adjusting the speed can also contribute to lower energy consumption. The method is based on different models for the motion, wind and power consumption of the individual actuators of the vessel. A simulation environment was created to control heading and surge velocity to calculate the power demand at different constant wind speeds and angles. As an example, these models were developed for the research vessel DENEB derived from real world experiments. Developed models and results are presented.

关键词： Economics Energy consumption Power demand Biological system modeling Wind speed Europe Aerospace electronics

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Behavioral-based circular formation control for robot swarms

Behavioral-based circular formation control for robot swarms

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IEEE International Conference on Robotics and automation (ICRA)

作者： Jesús Bautista Héctor García de Marina Department of Computer Engineering Automation and Robotics University of Granada (UGR-CITIC) Spain

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

This paper focuses on coordinating a robot swarm orbiting a convex path without collisions among the individuals. The individual robots lack braking capabilities and can only adjust their courses while maintaining their constant but different speeds. Instead of controlling the spatial relations between the robots, our formation control algorithm aims to deploy a dense robot swarm that mimics the behavior of tornado schooling fish. To achieve this objective safely, we employ a combination of a scalable overtaking rule, a guiding vector field, and a control barrier function with an adaptive radius to facilitate smooth overtakes. The decision-making process of the robots is distributed, relying only on local information. Practical applications include defensive structures or escorting missions with the added resiliency of a swarm without a centralized command. We provide a rigorous analysis of the proposed strategy and validate its effectiveness through numerical simulations involving a high density of unicycles.

关键词： Robot kinematics MIMICs Numerical simulation Fish Formation control Vectors Orbits

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