bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Ship Radar Matching Method Based on Target Attributes and Point Pair Topological Characteristic
Authors: Wang Jianan , Wu Bo , Wang Zhaojun , Yao Nana , Wu Jiajun , Gao Yue 
Published: August 2021

Abstract
We introduce a new ship target association method called SRM-AT, which stands for a Ship Radar Matching Method Based on Target Attributes and Point Pair Topological Characteristics. Using the radar properties of electromagnetic signals, as well as the longitude and latitude coordinates of electromagnetic signals and remote sensing images, this method calculates the point pair properties probability and PPTC (Point Pair Topological Characteristic) probability of electromagnetic signals and remote sensing images, as well as the syntheses of BPAF (Basic Probability Assignment Function) of the two through D-S evidence theory, to update the probability matrix of target association between electromagnetic signals and remote sensing images by using probability relaxation labelling method iteratively. The main contributions of this paper are: firstly, using decision trees to classify electromagnetic signals; finally, at the same time applicable to electromagnetic signals and remote sensing image ship formation and non-ship formation form. Through comparative experiments, this paper verifies that the method in this paper is superior to the comparative method in terms of association accuracy.
A Hyperspectral Image Classification Method with CNN Based on attention-enhanced Spectral and Spatial Features
Authors: Zhang Yangming , Yang Kun , Yuan Lei 
Published: August 2021

Abstract
In recent years, the convolutional neural network (CNN) has had a wide application in hyperspectral image (HSI) classification. HSI has many spectral and spatial features, which is well known that different spectral bands and spatial positions in the cubes have different discriminative abilities. Therefore, this paper proposes a classification method with CNN, which uses attention-enhanced spectral and spatial features (CNN-ASS). First, we use spectral and spatial subnetworks to extract spectral and spatial features. At the same time, spectral attention and spatial attention are added to the two subnetworks, respectively. Then, we sum the weights of the classification results of the two subnetworks to get the final classification result. This paper conducts experiments on three typical hyperspectral image data sets, and the experiment results show the CNN-ASS has a competitive advantage compared with some advanced methods.
Power Internet of things communication management platform adaptation scheme
Authors: Chen Baoren , Hong Danke , Wang Li , Ou Yongtong , Zhong Xinhui 
Published: August 2021

Abstract
Absrtact: There are a large number of power system equipment. The realization of smart grid requires effective collection and comprehensive judgment of the information collected and transmitted by many scattered equipment. Wireless communication technology plays an important role in it. The information interaction of each intelligent device needs to adapt to different platforms and protocols. This paper analyzes the problems existing in the current power peer platform, and provides corresponding strategies and solutions for the construction of intelligent power Internet of things communication platform, so as to efficiently realize the adaptation of platforms, systems and protocols, and realize the unified access and effective management of devices.
A Self-adjusting Online Map Matching Method
Authors: Lv Weijia , Chen Yi , Shang Pengfei , Zheng Fang , Wang Jielong 
Published: August 2021

Abstract
With the rapid development of intelligent transportation systems (ITS) and location-based services (LBS), it is more important to match the original trajectory sequence generated by users/vehicles to the actual road network. Most of the existing online map matching algorithms are based on the idea of local processing, or require richer data input and more mathematical models to ensure matching accuracy. This paper presents a simple and effective map matching method, called self-adjusting online map matching (AOMM). The algorithm is developed based on hidden Markov model (HMM). Considering the topological and geometric properties of the road network, the emission probability and transition probability calculation formulas of HMM are defined. And three adjustment strategies are provided to deal with trajectory noise points, dense trajectory points, and offset trajectory points. The algorithm only needs latitude and longitude information of trajectory points, and can match point by point. Experimental results on open trajectory data show that the algorithm has high matching accuracy and low output delay, and can meet the requirements of general online map matching tasks.
Characteristics analysis of regional geological hazards based on spatial distribution of potential hazards
Authors: Wang Jing , Zuo Qionghua , Huang Qinhui , Ying Xi 
Published: August 2021

Abstract
The regional disaster scenario can be described by the disaster consequence and its evolution trend: the state of the disaster bearing body directly reflects the disaster consequence, and the relationship between the disaster bearing bodies leads to the complex and diverse evolution trend of the disaster consequence. Therefore, taking the disaster bearing body and its association as the core, a network model reflecting the characteristics of the disaster affected area is constructed to describe the regional disaster scenario. Based on the spatial distribution of potential hazards, the characteristics analysis method of regional geological hazards is proposed. This paper analyzes the regional elements of scenario architecture from a systematic point of view. Based on the evolution attribute of disaster bearing bodies, the influence range model of disaster bearing bodies and the influence topological association between them are defined, and the generation method of association network model of regional disaster bearing bodies is proposed. Using this method to construct disaster scenarios reflecting the characteristics of the affected area in advance is conducive to the assessment of the risk of regional disaster loss in advance.
High Resolution Remote Sensing Image Classification Algorithm Based on Improved FCN
Authors: Yunbo Kong , Haojun Fu , Yangfan  , Zhouhai  , Na Wen , Fan Zhang 
Published: August 2021

Abstract
Aiming at the problems of less bands of high resolution remote sensing image data and limited learning richness of model features, this paper proposes a high resolution remote sensing image classification algorithm based on improved full convolution neural network. Firstly, a standardization layer is added to batch process the image, and then a pooling index is added to the image to realize the up-sampling. Finally, the pooling index, the transposed convolution and the convolution eigenvalue are combined into a feature group to restore the class pixels of the image to a great extent. It can improve the prediction ability of the model. A simulation experiment is carried out to verify the effectiveness and feasibility of the proposed algorithm.
Long-term evolution analysis of coastal geomorphology in Jiangsu based on Google Earth Engine
Authors: Yan Gu , Ruoyu Tao , lijun Yang , Tao Jin 
Published: August 2021

AbstractIn the past few decades, the tidal flats along the Jiangsu coast have been extensively modified, which has affected the function of a tidal flat ecosystem. In this paper, 4556 Landsat remote sensing images were processed based on the Google Earth Engine to classify features in the region from 1989 to 2019, and the overall and local geomorphology of the Jiangsu coastal area in the past three decades were analyzed and discussed. The trend of tidal flats in the study area has decreased 345.61 km2, with an average loss of 11.52 km2per year. The expansion of human activities has led to the migration of the Jiangsu coast to the sea, the reduction of natural coastline fragmentation, and the expansion of artificial coastline to the sea.
An Improved Semantic Segmentation Model for Remote Sensing Images based on HRNet
Authors: Zhou Xiaolan 
Published: August 2021

Abstract
Deep learning has been greatly improved recently, and natural image processing based on deep learning has also been greatly improved. However, there are still great differences between natural images and remote sensing images, among which the biggest is that the size of the target in remote sensing images is greatly different, which requires the model to have a strong multi-scale processing ability. In order to meet this goal, we use HRNet with full multi-scale fusion capability to replace ResNet to process remote sensing images. HRNet fully integrates low-level detail features, middle-level structure features and high-level semantic features, which is very suitable for remote sensing images. The experimental results show that our method has been greatly improved.
Influence of Soil Secondary Nonlinearity Effect on Seismic Response of Nuclear Island Structure
Authors: Zhu Shengdong , Chen Weiyun , Wang Yanzhen , Chen Guoxing 
Published: August 2021

Abstract
The effect of soil-pile-structure interaction (SPSI) is becoming one of the key issues in the seismic design of the nuclear island structures built on non-bedrock sites. The 3D lumped-mass stick (LMS) model of the AP1000 nuclear island structure considering the SPSI effect is developed to represent the steel containment vessel, the containment internal structures, and the coupled shield and auxiliary buildings supported by the pile-raft foundation. To improve the calculation efficiency, the 3D model is simplified into the equivalent 2D models in the X-Z and the Y-Z planes through vector decomposition of the 3D components and their interactions. The soil nonlinear behavior is termed the soil primary nonlinearity effect and the soil secondary nonlinearity effect (SSNE). The influence of SSNE caused by the effect of SPSI on the seismic responses of the AP1000 nuclear island structure is studied using various bedrock motions. The results show that: (1) Compared with the vertical seismic responses of the nuclear island structure, the SSNE of the horizontal responses is more obvious, and is stronger for bedrock motions with intense high-frequency components; (2) The influence of SSNE on the responses of the nuclear island structure has a positive correlation with its heights and bedrock motion levels; (3) Because of the SSNE, the peak accelerations and the peak relative displacements of the nuclear island structure decreases and increases respectively; while the 5% damped spectral accelerations of the nuclear island structure decrease in the shorter periods and increase in the mid-long periods. (4) For the peak relative displacements, the shorter the predominant periods of bedrock motions are, the higher the proportion of SSNE in the nonlinear effect of SPSI is. In general, the existence of SSNE will increase the flexibility and the energy consumption of the SPSI system of the nuclear island structure, and thus it is inappropriate to overlook SSNE arbitrarily.
Lightning monitoring method based on distributed traveling wave and lightning location system
Authors: Liu Yushun , Zhu Taiyun , Xia Lingzhi , Wang Taiping , Zhang Zhaoyuan , Li Yan , Xu Qiang 
Published: August 2021

Abstract
In order to improve the accuracy of lightning strike fault location and identification based on the distributed traveling wave monitoring system and lightning location system, the location algorithm and recognition algorithm are improved and integrated. The distributed traveling wave monitoring device is regarded as the lightning detection sub-station, and the calculation results of the lightning location system are corrected to get the accurate lightning flashover tower position. The lightning flashover voltage of the positioning tower is calculated based on the lightning current amplitude and the procedure method. After the lightning fault type is predetermined, the recognition calculation based on waveform feature extraction can be carried out. The actual lightning tripping fault and waveform were used to verify, the results show that the proposed method can effectively improve the accuracy of lightning strike fault location and identification.
Geographic visualization and spatial analysis of COVID-19 based on GIS
Authors: Wang Yu 
Published: August 2021

Abstract
By using the spatial analysis function of ArcGIS and the statistical function of EXCEL, the cumulative confirmed cases, cumulative cured cases and cumulative death cases of new-type corona pneumonia from January 2020 to July 2020 were correlated with the vector map of China’s administrative region to obtain the spatial distribution of new-type corona pneumonia nationwide. The cumulative diagnosis, cure and death tolls of the new type of coronary pneumonia were represented by color classification, and the situation of the new type of coronary pneumonia nationwide was visualized. The analysis showed that the distribution of the new type of coronary pneumonia at this stage was clustered, mainly centered in Hubei Province, spreading to the surrounding Hunan Province, Henan Province, Jiangxi Province and Anhui Province, and the sudden occurrence of the new type of coronary pneumonia occurred in very few regions.
Guoduaresearch on Key Technologies of heterogeneous network in power communication system
Authors: Chen Baoren , Hong Danke , Wang Li , Ou Yongtong , Zhong Xinhui 
Published: August 2021

Abstract
The development of smart grid needs the blessing of power Internet of things technology. With the continuous promotion and construction of domestic power Internet of things technology, a large number of Internet of things terminals will be connected to the network communication through different wireless communication technologies, which will form a huge heterogeneous network. Among them, wireless communication technology is the key to realize the power Internet of things. In order to give full play to the absolute advantage of the power Internet of things, this paper analyzes the characteristics and composition of the current heterogeneous network, analyzes the key points of the heterogeneous network technology, and analyzes the corresponding strategies and feelings.
Research on life cycle deformation monitoring system of Airport
Authors: Zhang Yonghao , Guo Lei 
Published: August 2021

Abstract
In order to meet the rapid development and strategic needs of the national economy, a large number of airports are newly built, rebuilt and expanded every year in China. With the accelerating process of urbanization, the airport construction environment is getting worse and worse: the terrain is complex, the construction process is often accompanied by high excavation and deep filling of earthwork, and the high filling airport is often accompanied by the problems of foundation settlement and slope safety and stability. Therefore, it is very important to identify and monitor the existing or potential deformation of the airport and the deformation under the external environment such as earthquake.
Numerical Simulation Research Based on Plasma Line-Tied Instability
Authors: Wang Xudan , Ding Junling 
Published: August 2021

Abstract
In order to study the linear instability and turbulence of the boundary plasma, this paper uses the BOUT++ numerical simulation tool. Mainly analyze the driving mechanism of the instability of the ideal balloon model, and the instability suppression mechanism of the ion diamagnetic effect, and compare with the analysis results of the dispersion relationship. Subsequently, the integral dispersion relationship is used to analyze the suppression mechanism of the shear flow. In addition, the dispersion relationship is not suitable for analyzing the global effect of the shear flow. Due to the locality of the dispersion relationship, the integral dispersion relationship uses the numerical integration of the mode structure to resolve the dispersion relationship. Used to analyze shear flow. Then, use the numerical integration of kinetic energy in the whole space to study the contribution of these effects to free energy. Finally, using the above linear analysis method, the physical mechanism of these effects under the EAST divertor configuration is studied.
Design of aircraft flight performance analysis and simulation software
Authors: Zhonghua You , Haitao Nie 
Published: August 2021

Abstract
Considering design of flight control system in the early stage of aircraft design is the development trend of aircraft design, which improves the design quality and reduces the cost, and the analysis of aircraft dynamic characteristics is its foundation. The aircraft flight performance analysis and simulation software is designed and developed by C++ language according to the flight dynamics principle of fixed-wing aircraft with conventional layout, combined with control law and simulation algorithm, which can be used to analyze the stability of aircraft, estimate the flight performance, preliminarily design the flight control system and carry out real-time flight simulation. The numerical example shows that the software can accurately analyze and calculate the flight performance of the aircraft, and achieve good attitude maintenance and maneuver control in the simulation. The comparison of results verifies the accuracy of the software.
Typical Feature Extraction in Alpine Lake Area of Northern Tibet Based on Gaofen-1 Satellite
Authors: Lina Dong , Kun Shang , Yun He , Xiongwei Zheng 
Published: August 2021

Abstract
Satellite remote sensing is one of the indispensable means of natural resources monitoring and management. With the great improvement of the spatial resolution, spectral resolution, temporal resolution and data coverage capability of Chinese satellites, domestic satellites have been deeply and extensively applied in the natural resource management and geological survey. In recent years, the impact of global change on the ecological environment and biodiversity in the alpine region of northern Tibet has aroused great concern, among which the response to land degradation, desertification and plateau wetland protection are the important contents. In this paper, Gaofen-1 (hereinafter referred to as "GF-1") satellite data are used to conduct the research and experiment of wetland and saline-alkali land feature extraction, which provides guiding suggestions and scientific references for the wider and deeper application of domestic satellites in feature extraction.
Research on Design Collaboration of Aircraft Digital Mock up for Suppliers
Authors: Xu Jian , Su Hao , Zhang Hong 
Published: August 2021

Abstract
Supplier design collaboration based on digital mock up is an important feature of the globalization and digitization of modern aircraft development. Supplier design collaboration based on digital mock up can organize all design engineers in different locations and time around the world, make them working in a unified design environment. It can overcome the shortcomings of traditional aircraft development, and improve the efficiency of aircraft development and shorten the development time greatly. This article introduces the advantages of supplier design collaboration based on digital mock up, focuses on the classification, general requirements, process and data management of supplier design collaboration based on digital mock up. It provides relevant reference and help for supplier design collaboration of digital mock up.
Research on Dynamic Obstacle Avoidance Path Planning Strategy of AGV
Authors: Miao Zhenteng , Zhang Xiaolei , Huang Guojue 
Published: August 2021

Abstract
As a highly intelligent robot, AGV has many applications in automatic production, AGV needs to ensure its own safety when it works in a complex environment. If there are irregularly moving obstacles within the working range of AGV, collision accidents are easy to occur. This paper establish a obstacle avoidance fuzzy controller based on fuzzy control algorithm, this controller can obtain the operation data of obstacle avoidance, AGV adaptive neuro-fuzzy network system is further established to train these operation data for a certain number of times, so that this system can provide correct behavior decision for AGV dynamic obstacle avoidance. This paper builds a simulation environment to test this system. It is proved that this system has good robustness and reliability.
Design of Terminal Sliding Mode Controller Based on Nonlinear Dynamic Inversion
Authors: Hu Cheng , Bai Xibin , Zhang Shifeng 
Published: August 2021

Abstract
In this paper, the extended state observer was applied to satisfy the high accuracy demand of the nonlinear dynamic inversion through compensating the uncertainty and disturbance of the nonlinear dynamic system as a total disturbance. The terminal sliding mode controller was adopted to assure the system converging fast and accurately. The effectivity and quickly converging of the proposal method was demonstrated by the simulation of the attitude control problem of the upper stage, with the comparison of other methods.
Anomaly Detection Method for Spacecraft System Based on High Dimensional Space Mapping
Authors: Zhang Xiangyan , Li Zhiqiang 
Published: August 2021

AbstractSpacecraft system, as a typical complex system, is also a high-risk field. Even small faults in local links may bring huge losses or disasters. Analyzing the system level associated anomaly detection method caused by the interaction of multiple telemetry parameters can provide technical means for the rapid and accurate detection of system level in orbit associated faults. In this paper, firstly, a system anomaly detection method based on high-dimensional space mapping is proposed. Secondly, based on the preprocessing of telemetry data, the division of telemetry subsystem is realized. Thirdly, Based on the dimension reduction of subsystem space, the system anomaly detection method is given, and the technical process of the method is given. Finally, through the verification of on orbit actual data, it shows that the system anomaly detection result is accurate.
Analysis of CAN bus encryption and decryption performance of different chips
Authors: Zhang Yanan , Liu Tianyu , Chong Tonghong , Jia Xianfeng , Wu Zhi 
Published: August 2021

Abstract
In the rapid development of intelligent network connected vehicle, many information security risks have been exposed. The application of CAN bus encryption and decryption technology can solve the problem of safety communication in vehicle intranet. The sender and the receiver use the same set of key. The sender encrypts the data before sending it, and the receiver decrypts the data before applying it. In order to study the influence of CAN bus encryption and decryption on transmission efficiency, taking tc299, s32k144, mpc5606b and spc560b54 chips as examples, different encryption and decryption algorithms are used to encrypt and decrypt data of different lengths. The research shows that the time of symmetric encryption is much less than that of asymmetric encryption; With the increase of the length of the data to be encrypted and decrypted, the time required for encryption and decryption also increases; There is no significant difference in encryption and decryption efficiency between different chips. The time consumed by encryption and decryption is us level, which will not affect the real-time performance of the bus.