bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of Systematic Contribution Rate of TDRSS in the Remote Sensing Satellite System
Authors: Fan Dandan , Zheng Jun , Chen Ming 
Published: July 2021

Abstract
The application of TDRSS in the low orbit remote sensing satellites system can improve the effectiveness of remote sensing satellites. This paper built an evaluation system of remote sensing satellites from observation ability, response ability, data transmission ability and control ability. And linear weighting method was used for quantitative analysis of systematic contribution rate of TDRSS. As shown by the analysis result, TDRSS can improve the response ability, data transmission ability and control ability.
Research on automatic test case generation method of flight control system based on UML state diagram
Authors: Fan Chunlong , Zou Penghua 
Published: July 2021

Abstract
In order to realize the automatic test of flight control system, the automatic generation method of flight control system test case is studied by using UML state diagram. Using UML extension mechanism, the real-time extension scheme of UML state diagram of flight control system is given. Aiming at the real-time performance of flight control system, the migration equivalence class is constructed by using the time domain equivalence partition method. After the test path is generated according to the corresponding test standard, the test case is generated automatically. Taking a simplified flight control system as an example, the feasibility and practicability of the method are verified by comparing the time of generating test cases with that of generating test cases manually.
A new data augmentation method of remote sensing dataset based on Class Activation Map
Authors: Zhang Wei , Cao Yungang 
Published: July 2021

Abstract
Remote sensing image scene classification is a significant direction in the field of remote sensing research. The method based on deep learning has become the most popular method in recent years because it can realize the automatic feature extraction and classification of remote sensing images. The deep learning requires a large number of samples for training and consumes large computing resources, and the data augmentation can alleviate the problem of insufficient samples. The image manipulation is one of the most commonly methods, but it may cause the loss of key information in the image. In this paper, we proposed an improved supervised data augmentation method based on Class Activation Map (CAM) and image manipulation, and then used this method to augment the high-resolution remote sensing images of NWPU dataset. We utilized three CNNs networks to count the classification accuracy of the remote sensing images. The experimental results show that the proposed method increases the accuracy of scene classification by more than 0.4%. The CAM-based methods provide a new technical support for the scene classification of remote sensing images based on deep learning.
Research and Application Exploration for Spatiotemporal Data Integrated Theory
Authors: Chao Yuan , Tianye Zeng , Yuxiang Cheng , Lin Li 
Published: July 2021

Abstract
Spatiotemporal data is essential for big data, closely related to government, enterprise and people. The Chinese digital economy development strategy requires more efficient usage of spatiotemporal data. However, current researchers paid the more attention to the concept and technology about spatiotemporal database, model, sharing, visual platform, lacking research to the spatiotemporal data integrated theory. This article attempted to propose the spatiotemporal data integrated theory, and structure three-level spatiotemporal data system. It solved systematically spatiotemporal data problem about classification, calculation and application, developed series smart software system, formed a spatiotemporal big data factory in Chongqing China.
Research on the Integration of Information Technology Application and English Culture Communication in English Teaching
Authors: Yan Liu 
Published: July 2021

Abstract
In the new era of rapid development of information technology, the path of English cultural communication has been expanded in an all-round way, the audience has continued to grow, and the social needs have been further improved, all of which put forward new requirements for English teaching. Therefore, this paper makes a detailed discussion on English cultural communication under the condition of information technology, and combines with the current teaching practice, and provides some positive suggestions for English cultural communication from the aspects of theoretical research, innovation of teaching methods, construction of intelligent network and application of information technology, so as to provide useful reference for English teaching.
Hiking path planning algorithm based on dynamic parameters and heuristic information for complex field comprehensive terrain
Authors: Wang Shuai , Su Wingting 
Published: July 2021

Abstract
The paper focuses on the problem of hiking path planning in complex and comprehensive terrains and establishes a Fast Marching method (DH-FM2) based on heuristic information and dynamic parameters. This method inventively considers the path’s safety, smoothness, and heuristics to meet the needs of dynamic path planning. In data processing, we do a correlation analysis of the elements affecting traversing resistance of the path planning process and filters them to remove relevant features. The algorithm establishes a path evaluation function and optimizes the value of the function by Monte Carlo simulation to determine the coefficients of the TR function. Besides, we consider several types of land cover such as existing roads to fit the actual situation in the field. The result of simulation shows that the DH-FM2 algorithm can dynamically adjust parameters according to different path planning requirements to generate a path meeting the user’s requirements. The DH-FM2 algorithm spends shorter time than the FM algorithm on the premise of the same time complexity. Overall, the DH-FM2 method is reliable and efficient.
Application of Computer Aided Translation in Technical English Manual
Authors: Fan Hui 
Published: July 2021

Abstract
At present, economic globalization is deepening, international economic and trade exchanges are getting closer, and the demand for translation of technical English manuals is increasing day by day. In the past, translation work relied more on manual translation, but with the rapid development of modern information technology, computer-assisted translation technology came into being. This greatly reduces translation costs and improves work efficiency. This article discusses the related content of computer-aided translation and technical English manual. The author combines the application process of computer-assisted translation in technical English manuals to carry out detailed analysis with actual application cases. The purpose of the author is to improve the application effect of computer-assisted translation and improve the translation accuracy of technical English manuals.
Digital restoration and visualization of Nanfeng ancient city-focusing on cultural mining
Authors: Li Dan , Lin Hui , He Qinghua , Li Jiaxin 
Published: July 2021

Abstract
Taking Nanfeng ancient city as an example, based on mining local culture, digital reconstruction of the ancient city is realized by using digital technologies such as remote sensing mapping, 3D modelling, geographic information and virtual reality and then a virtual platform for digital protection and exhibition of the ancient city is constructed. Firstly, the research sorted out the cultural connotation of the ancient city space from the three spatial levels including space, block and street pattern and then established the geospatial database. Using the key technologies of oblique photogrammetry, laser point cloud, 3D modelling and panoramic technology to restore and visualize the ancient city and then developing the virtual digital display platform which integrated the functions of digital model integration, route recommendation and customization, panoramic roaming and interaction. Finally, the platform was built. The idea and practice of combining cultural mining with digital construction can help to realize the protection and wide spread of Nanfeng ancient city culture and promote the sustainable inheritance of ancient city culture.
Application of Container Technology in Numerical Ocean Model: a Kind of High-performance ROMS Containerized Architecture
Authors: Cao Wentai , Guo Ying , Zhang Hu , Sun Minghui , Yuan Meng 
Published: July 2021

Abstract
Numerical ocean models are an important means for humans to study ocean activities today. For decades, with the continuous improvement of supercomputer performance, the application of numerical ocean models in high-performance computing has also developed rapidly. The birth and progress of high-performance cloud computing provide an opportunity for the development of portability and reproducibility of the ocean model. This paper uses container technology to construct the working environment of the Regional Oceanic Modeling System (ROMS), and rapidly completes the calculation jobs of the ocean model on the high-performance cloud computing platform. At the same time, we compare and analyze the operating performance of traditional HPC VM clusters. The new ocean model system we constructed based on high-performance cloud computing can provide better portability and convenience without wasting performance on traditional HPC clusters. It provides a new tool for scientists to quickly build ocean model clusters suitable for different hardware configurations, and to perform numerical ocean model calculations more conveniently.
Chinese Text Summarization Generation Algorithm based on ERNIE-GEN with Few-shot Learning
Authors: Zhu Yongqing , Zhao Peng , Mu Xiaodong , Bai Kun , You Xuanang 
Published: July 2021

Abstract
In view of the problems of exposure bias and insufficient annotation data in the existing Chinese short text summary algorithms, a new pre-training short text summary algorithm named ERNIE-GEN-CTS based on ERNIE-GEN is proposed. This paper uses pre-training language model to realize the double attention of word level and word level for short text, and fills the sub block with semantic information to optimize the exposure bias problem. After the pre-training model of large-scale Chinese corpus, the results are improved in LCSTS data set after the task tuning of the downstream summary, and the validity and stability of the model are verified.
A Calculation Method of Fragment Number and Mass Distribution of Blast-fragmentation Warhead based on Neural Network
Authors: Sun Yong , Li Jun , Liu Dawei , Xue Jirong , Guo Zhiming 
Published: July 2021

Abstract
The Mott distribution model is analyzed and deduced in this paper. On this basis, a calculation method of fragment number and mass distribution of blast-fragmentation warhead based on Neural Network is proposed. Based on the Mott distribution model, the empirical parameters in the Mott distribution model are determined by using the strong nonlinear mapping ability of BP neural network and the associative memory ability of external stimuli and input information Then, the number and mass distribution of fragments are determined, and the calculation speed and result accuracy are improved.
Guidance Cleaning Network for Sketch-Based 3D Shape Retrieval
Authors: Liu Qi , Zhao Shengjie 
Published: July 2021

Abstract
The sketch-based query for 3D shapes has drawn growing attention from the academic community due to its flexibility and accessibility. However, most recent works focus on reducing the cross-modality discrepancy between 2D sketches and 3D shapes, which neglect the influence caused by noise information in some low-quality free-hand sketches. To address this issue, we proposed a novel network to decrease the impact in two ways: 1) an attention weighting module to detect the noisy samples by a self-attention mechanism; 2) a data cleaning module to clear up low-quality sketches according to a ranking regularization. Experiments on two widely-used datasets demonstrate the effectiveness of our method.
Global anthropogenic emissions in urban areas: patterns, trends, and challenges
Authors: Crippa Monica , Guizzardi Diego , Pisoni Enrico , Solazzo Efisio , Guion Antoine , Muntean Marilena , Florczyk Aneta , Schiavina Marcello , Melchiorri Michele , Hutfilter Andres Fuentes 
Published: July 2021

Abstract
Between 1970 and 2015 urban population almost doubled worldwide with the fastest growth taking place in developing regions. To aid the understanding of how urbanisation has influenced anthropogenic CO2 and air pollutant emissions across all world regions, we make use of the latest developments of the Emissions Database for Global Atmospheric Research. In this study, we systematically analyse over 5 decades of emissions from different types of human settlements (from urban centres to rural areas) for different sectors in all countries. Our analysis shows that by 2015, urban centres were the source of a third of global anthropogenic greenhouse gases and most of the air pollutant emissions. The high levels of both population and emissions in urban centres therefore call for focused urban mitigation efforts. Moreover, despite the overall increase in urban emissions, megacities with more than 10 million inhabitants in high-income countries have been reducing their emissions, while emissions in developing regions are still growing. We further discuss per capita emissions to compare different types of urban centres at the global level.
Effects of seasonal inundation on methane fluxes from forested freshwater wetlands
Authors: Hondula Kelly L , Jones C Nathan , Palmer Margaret A 
Published: July 2021

Abstract
Methane emissions from small freshwater ecosystems represent one of the largest components of uncertainty in the global methane budget. While these systems are known to produce large amounts of methane relative to their size, quantifying the timing, magnitude, and spatial extent of their emissions remains challenging. We begin to address this challenge in seasonally inundated forested mineral soil wetlands by (1) measuring wetland methane fluxes and hydrologic regime across both inundated and non-inundated soils, (2) characterizing how wetland hydrologic regime impacts the spatial extent of methane emission source areas, and (3) modeling average daily wetland-scale flux rates using four different upscaling techniques. Our results show that inundation extent and duration, but not frequency or depth, were major drivers of wetland methane emissions. Moreover, we found that methane fluxes were best described by the direction of water level change (i.e. rising or falling), where emissions were generally higher when water levels were falling. Once soils were inundated, subsequent changes in water level did not explain observed variability of methane concentrations in standing water. Finally, our spatial modeling suggests that representing inundation and associated methane source areas is a critical step in estimating local to regional scale methane emissions. Intermittently inundated soils alternated between being sources and sinks of methane depending on water level, soil moisture, and the direction of water level change. These results demonstrate that quantifying the hydrologic regime of seasonally inundated forested freshwater wetlands enables a more accurate estimation of methane emissions.
Study of material strength properties for horizontal road marking using innovation equipment
Authors: Bochkarev V I , Zhustareva E V , Fedorov S V 
Published: July 2021

Abstract
The article deals with the study of strength properties of materials used for horizontal road marking. The investigations were carried out on the basis of the chair “Construction and Maintenance of Roads” of MADI and NTTs “Katafot”. The tests were performed on marking materials that are most common and frequently used in the Russian Federation. Thermoplastics and cold plastics were selected for research. For the tests, up-to-date high-precision equipment (AMPT / SPT installation) was used, which made it possible to take measurements in automatic mode as well as to save and process data. During the experiments, the dependences of the dynamic modulus of thermoplastics and cold plastics on the frequency of load application (loading frequency) and temperature were investigated. The researches resulted in recommendations for the use of materials to arrange the horizontal road marking under various operating conditions. The aim of the study is to improve the quality and durability of road markings as well as to ensure road traffic safety. The current scientific work has relevance to the implementation of the national project “Safe and High-Quality Roads”.
Assessment of the possibility of local object to be flooded in megalopolis as a result of a hydraulic system breakage in the area of a transport tunnel
Authors: Suetina T A , Chernykh O N , Burlachenko A V 
Published: July 2021

Abstract
In the article is observed the approach to assessing the safety of the downstream of retaining waterworks in the conditions of the existing urban infrastructure of the metropolis and the transport tunnel built on the border of the water system. Also are described the peculiarities of the methodology for determining the size of probable harm in the event of a hydrological accident of a low-pressure hydroelectric megalopolis complex, the lower pool of which is filled up, the watercourse is taken into the collector. The position of the groundwater level causes flooding of the territory, increasing the hazard indicator due to the activation of included processes (change in soil properties, suffusion, appearance a source of local flooding of an urbanized area, etc.). The results of a numerical experiment to assess changes in the position of the ground water level in the territory in contact with the Mikhalkovsky tunnel in Moscow are presented. It is shown that if the drainage system fails near the tunnel, a significant rise in the ground water level (more than 1 m) may occur, which will cause flooding of the surrounding area and residential buildings. To improve the efficiency of drainage in the lower reaches of the hydroelectric system, it is proposed to create an additional drainage system, including from the collector of the Zhabenka river. Calculation also shows that the emergency situation which may occur due to hydrological crash with implementation of the most difficult and simultaneously the most likely of several possible crash scenario with overtopping of the dam and the formation of the closure channel on the waterworks of Moscow is not likely to occur. The damage in the probable and most severe scenario of a hypothetical hydrological accident is close to zero. Therefore, there will be no damage on most ponds in the megalopolis where the downstream is filled in, planned, fortified, or the diverting section of the watercourse is taken into the collector.
Impact of traffic speed on the strength of highway pavements
Authors: Korochkin Andrey 
Published: July 2021

Abstract
The paper touches upon the issues related to the influence of the speed of traffic flow on the calculation of the strength of road pavements of highways. The dependence of the calculated parameters on the vehicle speed is shown. The definitions of such concepts as the design speed of movement on the road, the permitted speed of movement and the actual speed are given. The authors give the values of normative design indicators related to the speed of movement, which were determined more than 50 years ago for the speed of movement of trucks 40-60 km / h, and have remained unchanged since then. The paper also presents the results of the research on the speed of traffic flows along two highways M-2 “Crimea” and M-9 “Baltia” for 16 years, which prove that the speed limit on modern highways has changed dramatically in recent years and does not meet the requirements and design parameters. According to own research and research of many modern scientists, the author proposes to take into account the speed of 110 km / h when determining the design parameters for the calculation of road pavements and to use the dynamic coefficient equal to 1.85 (instead of 1.3) when calculating the pavement instead of standard values and take into account the time of the impact of the wheel on the coating of 0.014 s (instead of 0.1 s).
Decision support system for street-road network objects repair
Authors: Vasiliev Yu E , Fineeva M A , Belyakov A B , Varshavsky S V , Caesar A A 
Published: July 2021

Abstract
The article analyzes factors influencing managerial decisions adoption on repair of road network facilities (RN). Road repair is a challenge that must take into account a number of conflicting criteria. It is shown that decision-making process is a complex mental activity that consists in choosing the most effective strategy and, at present, repair work planning should be carried out using decision support systems (DSS), that is, a class of knowledge-based systems. DSS developing necessity for repair planning of RN has been substantiated. DSS architecture is described and it is shown that DSS allows increasing knowledge base by adding new knowledge without changing the structure, as well as encapsulating new knowledge into the system, increasing intellectual resource used in decision-making process. The parameters are determined, on the basis of which rules in DSS are formulated, which are necessary for making decisions on determining scope, timing, cost and sequence of repair and restoration work. Production rules examples are given. The general scheme of algorithm for planning repair and restoration works at RNF, as well as algorithm scheme for complex indicator calculating of transport and operational state-ensuring movement design speed dare described. Planning process formalized description and control actions development has been completed. It is shown that intelligent decision-making is an iterative, multi-level procedure, within which decisions table is analyzed to assess technical condition of RN facilities based on regulatory and technical documentation analysis. Situation description is consistently expanded by taking into account the quality of RN road marking, traffic intensity, road construction materials volumes, repair and restoration work cost, traffic management, seasonality and weather conditions, etc. (the number of taken into account parameters and levels of their description is not limited). The advantages of proposed approach to DSS implementation are described. It is shown that proposed DSS version provides situational adaptive intelligent control with ability to issue justified recommendations for carrying out repairs. The prospects for work development in this direction were considered and conclusion was made that management digitalization of repair activities, the digital transformation of management model and business processes in the field of RN repair will increase profits, increase operational efficiency, reduce repair costs and improve its quality.