bluuebunny/crossref_metadata_2025_split huggingface dataset:
A novel Technology of Ground Joint Construction on Floor of Aircraft Hangar
Authors: Zhang Weixiong , Mo Tianfan , Deng Deyuan , Chen Zhou , Zhao Di , Chen Zepeng 
Published: June 2021

Abstract
A maintenance hangar of in Guangzhou Baiyun International Airport was selected as an engineering case to show a novel technology of ground joint construction presented in this paper. The construction of the ground joint was described in detail and some conclusions were therefore summarized to show the effectiveness of the technology. The total area of the test section is 33000 square meters, which made a great difficulty in construction process. In order to avoid cracking in concrete, the ground concrete was casted by block and a new implement name “armor seam” was used to control boundary between different concrete blocks. After the implementation of new technology and implement, the flatness and wear resistance of ground, the compactness and integrality of concrete all had great improvement.
Research on Virtual Reality Technology in Landscape Design
Authors: Wang Lin , Guo Juan 
Published: June 2021

Abstract
Through in-depth research on landscape design, it is found that VR technology can indeed improve the visualization, accuracy and immediacy of landscape architects during the research process of landscape design. This technology will bring a revolutionary development in the process of landscape design, and through this technology, 3D vision related information can be connected between virtual and reality. This allows landscape architects to perceive the ecology and concept of design from the five senses, and virtual reality technology also provides a certain theoretical research foundation for future landscape design. To a certain extent, it is conducive to the optimization of the interactive experience of landscape architects. The solution ideas of derivative mixed reality (MR) and augmented reality (AR) are also proposed, as well as the prospect of future development.
Research on Oblique Aerial Photography and its Application in Detection of Hidden Geological Hazards
Authors: Jun Cai , Jie Chen , Jing Li , Peng He 
Published: June 2021

Abstract
The Wu Gorge section of the Three Gorges Reservoir is prone to landslides and collapses of rock masses, which poses considerable threats to the transportation safety along the watercourse of Yangtze River. The oblique aerial photography technique can accurately present the profile and texture information of the observed objects, which can provide data for early detection of geological hazards. In this study, the technique of oblique aerial photography was analyzed in depth, and the obtained oblique aerial photographs were combined with the position and orientation system (POS) data and the ground control points to build a three-dimensional model, and a geological disaster evaluation model was built based on such factors as geological conditions, landform, and hydrological conditions for geological hazard evaluation. Meanwhile, indoor interpretation and fieldwork surveys were performed to summarize the patterns of development and distribution of geological disasters, identify the major contributors to geological disasters in the study area, and master the characteristics of liability of the study area to geological disasters and hidden hazards.
Filtering Processing of LIDAR Point Cloud Data
Authors: Jin Yaxiong , Yuan Xitun , Wang Zhe , Zhai Boqiang 
Published: June 2021

Abstract
During the acquisition of point cloud data by LIDAR, due to system and environment reasons, there will be a large number of discrete points and noise points in the obtained point cloud data, which will affect the extraction of target ground object information. In view of the noise introduced by the system itself and the environment where the target object is when the LIDAR is scanning, a de-noising method combining statistical filtering and bilateral filtering is proposed in this paper.
Fuzzy-based Integration of Sentinel-2 MSI Data for Locating Potential Hydrocarbon Microseepag
Authors: Zhou Ziyong 
Published: June 2021

Abstract
The vertical migration of hydrocarbons from oil and gas reservoirs to the surface and/or subsurface (i.e., microseepage) can induce mineral alteration that results in concentration of ferrous iron, clay, and carbonate minerals at the Earth’s surface. These altered zones may be detected in remote sensing imagery based on their specific reflectance spectral characteristics; zones where three types of mineral alteration occur simultaneously reflect possible hydrocarbon microseepage locations with the potential for underlying oil and gas reservoirs. In this study, a fuzzy set based approach was used to integrate the results of principal component analysis (PCA) and band ratios (BRs). First, each selected indicative principal component (PC) and BR was treated as a fuzzy set, and a corresponding fuzzy membership function defined. The membership degree of each pixel, which indicates the possibility of the presence of specific altered minerals, was then calculated. Subsequently, the Gamma operator was used to fuse all fuzzy sets to create a new fuzzy set, which was then defuzzied and used to indicate the possible locations of hydrocarbon microseepages. The Sentinel-2 MSI data were used to illustrate the approach and the zones of hydrocarbon microseepage mapped.
Characteristics of Thermal Infrared Anomalies during the Earthquakes in Wenchuan, Lushan in Ya’an and Jiuzhaigou
Authors: Na Dong , Hongyue Liao 
Published: June 2021

Abstract
Satellite thermal infrared observation has advantages over other earthquake observation techniques. With MODIS remote-sensing images from the TERRA satellite, the thermal infrared brightness temperature difference variation rate was used to analyze the observation data prior to three Magnitude-7-and-above earthquakes along the fracture zone of Longmen Mountain, and the result showed that there were thermal infrared brightness temperature anomalies one to two months before these three Magnitude-7-and-above earthquakes, and the earthquakes took place along the boundaries of the area where the anomalies occurred. The observation data show that there have been five times of substantial anomalies in the study area, among which four times were correlated to earthquakes.
Spatial-temporal distribution of red tide in coastal China
Authors: He Xinyue , Chen Chao , Lu Chang , Wang Liyan , Chen Huixin 
Published: June 2021

Abstract
The frequent occurrence of red tides in China’s coastal areas has caused huge losses to society and economy, and seriously threatened the coastal marine environment and ecological security. Based on the data of 30 years from 1990 to 2019, this paper analyzes spatial-temporal distribution characteristics of red tide in China’s coastal areas. Our results show that 1557 red tides occurred in China’s coastal areas from 1990 to 2019. (1) There were 961 red tides from 2001 to 2012, which was the high red tide period in offshore China, accounting for 62.00% of the total number of red tides. The number of red tides in the Bohai Sea, Yellow Sea, East China Sea and South China Sea were 117, 103, 588 and 153, respectively. Seasonally, 536 red tides occurred from April to September, accounting for 87.00% of the total number of red tides. (2) In space, according to the kernel density estimation, red tides are mainly concentrated in Bohai Bay, Yangtze River Delta, Pearl River Delta and other regions with relatively dense population and relatively developed economy, especially in Zhejiang Province and the estuary of the Yangtze River. The research in this paper is of great significance to the monitoring and prevention of red tides and water environment management.
Design of Magnetic Gradient Tensor System for UAV
Authors: Junfeng Li , Yong Yang , Weiwei Zhu , Suli Feng , Yijun Han , Jiaqiang Wang 
Published: June 2021

Abstract
The detection method based on UAV has attracted more and more scholars’ attention. In this paper, the basic principle of gradient tensor is discussed firstly, and then the composition of gradient tensor system and the structure are described. After the length of baseline is determined by simulation, a signal collector based on ARM CortexM3 is designed. Through the collector, 12 channels of signals can be collected synchronously, and RTK time and position information are integrated into each frame. The information after framing is transmitted to the ground station for further processing.
Monitoring of Rice Irrigation Area Based on GF-1 Data and Spectral Matching Technology- A Case Study of Chuanhang Irrigation Area in Suqian City
Authors: Tong Daobin , Duan Yuanyuan , Chen Xiuhua , Lu Yizhu , Liu Hongjie , Zhao Guanliang , Song Wenlong 
Published: June 2021

Abstract
China is the world’s largest rice producer and consumer. Accurate identification of rice planting and irrigation area is of great significance to China’s food security. Based on GF-1 multispectral data, spectral matching and OTSU algorithm were used to monitor the rice irrigation area in Chuanhang Irrigation Area from 2016 to 2020. The accuracy was verified by confusion matrix. The overall accuracy was 98.1691%, 91.8706%, 95.2451%, 93.0604%, 91.9697%, respectively. The Kappa coefficients were 0.9541, 0.7898, 0.8777, 0.8330 and 0.7824, respectively, which proved that this method was suitable for rice irrigation area extraction based on high spatial resolution remote sensing data, and could provide technical support for rice irrigation area monitoring in irrigated areas.
Urban Traffic State Prediction Based on SA-LSTM
Authors: Yu Jingyu , Wei Haiping , Guo Hongwei , Cai Yafeng 
Published: June 2021

Abstract
Traffic prediction is the key to intelligent traffic guidance, management and control. Aiming at the spatiotemporal characteristics of urban traffic and the complexity of nonlinear variation of traffic parameters, a long short-term memory network (LSTM) urban traffic condition prediction model (SA-LSTM) based on self-attention mechanism is proposed. SA-LSTM uses the self-attention mechanism to assign different weights to traffic state information in different space and time, reflecting the spatio-temporal correlation of traffic data prediction. It can also avoid the vanishing gradient problem faced by traditional RNN and improve the defect that LSTM cannot accurately express the different importance and spacio-temporal characteristic of traffic information. Based on SA-LSTM, experiments were conducted on the Shenzhen road network data and floating car data. LSTM and SA-LSTM were selected for Comparative verification experiments, and the results confirmed that SA-LSTM is superior to LSTM in multiple evaluation indicators. Moreover, the road spatio-temporal correlations obtained by traffic data analysis and obtained by model learning are highly consistent, which proves that SA-LSTM can precisely learn and express the spatio-temporal characteristics and changing trend of the traffic.
The Realization of Driving Force Constitutive Model of Shape Memory Alloy Based on OpenSees
Authors: Liu Zhenyong , Zhang Mengmei , Li Peigang 
Published: June 2021

Abstract
Based on the driving force test data of shape memory alloy (SMA), the constitutive model of SMA driving force is proposed, and the secondary development is carried out on the platform of OpenSees software. SMA material was added to OpenSees, and the results show that the calculation results in this paper are consistent with the experimental data. It provides a realization path for driving force finite element analysis using OpenSees platform.
Model Test on Ground Surface Settlement and Face Failure of Shallow Tunnel in Dry Sandy Stratum
Authors: Song Weitao , Zhang Pei , Du Xiuli 
Published: June 2021

Abstract
Surface deformation and face failure may occur during shield tunneling in the shallow buried dry sandy stratum. The model shield machine is used to carry out the shield tunneling model test in dry sandy stratum. The surface deformation laws and the active failure process of the excavation face are analyzed by monitoring the surface deformation during advancing and face failure stages. It is concluded that the surface deformation curve is “M” shaped and asymmetrical about the tunnel axis. The surface settlement during face failure goes through two stages, and the surface collapse pit is approximately elliptical, whose center is located on the left side of the tunnel axis when the cutter head rotates clockwise.
Deformation Monitoring of Steel Structures based on Measuring Robots and Global Navigation Satellite Systems During Unloading Construction
Authors: Xu Lishan , Peng Jie , Wei Yongbin , Jiang Kai , Wang Wenqi , Liu Meng 
Published: June 2021

Abstract
The steel-structured corridor project of the Industry Innovation Park (IIP) in Beijing adopts an overhanging design with a large size and span. In the demolition stage of the overhanging support, the steel structures will deform. In order to understand the deformation degree of the steel structures in IIP in real time and ensure construction safety, it is necessary to monitor the deformation process of the steel structures. We select the points sensitive to deformation and key parts of the steel structures as monitoring points, and make an automatic deformation monitoring scheme. We use the deformation monitoring system based on measuring robots and Global Navigation Satellite Systems (GNSS) to monitor the steel structures. Then we compare and analyze the deflection values measured by the two monitoring systems. The results from the two monitoring systems are relatively consistent and mutually verify. The results also show that the steel structures are obviously deformed due to the influence of unloading construction. In addition, deflection values obtained by deformation monitoring are compared with the deformation limit of the key steel components derived from the design code. The results show that the deflection values are within a reasonable range, indicating that the construction design of the steel structures in IIP is reasonable and the steel structures are in safe conditions. The deformation monitoring systems based on measuring robots and GNSS technology used in this paper meet the monitoring requirements in the construction phase and can play their value in similar projects.
A new recognition method for oil pipeline leakage using PCA and SOM neural networks
Authors: Ji Beilei , Zhang Hong , Liu Shen , Zhang Kezheng , Zhang Wei , Zhang Dong , Liu Xiaoben 
Published: June 2021

Abstract
Oils are mainly transported by pipe in long distance for its high efficiency. While oil pipe leakage will cause serious social and environmental consequences, e.g. fire even life lost, water and soil pollution. Thus it is important to recognize pipe leakage at initial stage in engineering practice. In this research, a negative pressure wave based detection method was established for pipeline leakage recognition. Suitable parameters of negative pressure wave signals with significant difference for different working conditions were selected. Principal Component Analysis (PCA) method was conducted to reduce the dimensions of the negative pressure wave vector. Self-organizing map (SOM) Neural network was finally adopted to identify the signals for different working conditions. The proposed method was validated by experimental data, which shows that the methodology gives a high recognition rate, which can be referenced in pipe monitoring in engineering practice.
Technological assurance of the quality of deformed steel products in mechanical engineering
Authors: Shveyov I A , Shveyova E I 
Published: June 2021

Abstract
The article shows the influence of fibrous structure and non-metallic inclusions on the mechanical properties of steel products. The macrostructure of forging the crankshaft was investigated and the places of exit of the elimination zones to the surface of the car part were established. Based on this, there are proposed ways to improve the quality of deformable steel products in the machine building industry.
On the issue of determination of the mechanism of ultrasonic velocity change in the process of uniaxial deformation of the rod
Authors: Yurchenko S A 
Published: June 2021

Abstract
The molecular acoustics method is one of the types of non-destructive testing of materials during the operation of machines and mechanisms. Assessment of the performance of this or that material for further operation is carried out on the basis of changes in the ultrasonic velocity passing through the volume of the material. In this case, this assessment is carried out on the basis of a comparison of experimental data with data on the change in the ultrasonic velocity (UV) in a rod made of the same material subjected to uniaxial deformation. Thus, this method correlates the value of the ultrasonic velocity in the material, after a certain operating time as part of a machine or mechanism, with one or another area of deformation of the rod. They try to explain the changes in the ultrasonic velocity on the basis of the displacement of defects or the rotation of mesoscopic volumes in the material. However, the authors describing in their works the process, use expressions “most likely”, “probably”, which indicates that their explanations are an assumption, and not a strictly established mechanism for changing the ultrasonic velocity. This work shows that in the process of deformation, together with a change of the ultrasonic velocity, both the natural frequency of atomic vibration and the volume of the primitive cell change. The author proposes to estimate the change in the ultrasonic velocity during deformation on the basis of changes in the geometric parameters of the primitive cell in which ultrasound is transmitted along the edges of the primitive cells through the interaction of electron shells of atoms.
Estimation of the thermal gap when soldering waveguide elements
Authors: Kudryavtsev I V , Brungardt M V , Goncharova E A , Li O A , Kolotov A V 
Published: June 2021

Abstract
This paper proposes a method for determining the required gap between the elements of the waveguide path during its assembly by soldering. The need for a thermal gap is defined by difference in mass and dimensional parameters of the elements to be connected, due to which a significant no uniformity of heating and thermal deformations occur. The no uniformity of thermal deformations leads to jamming of one element in another, therefore, the heating time and the size of the thermal gap are need to be determined. The diameter of the solder wire is determined according to the size of the thermal gap and the required fillet of the soldered seam. The performed numerical calculations of the stress state of the obtained soldered seam showed the absence of stress concentration. Mechanical tests have confirmed the high strength of soldered seam.
Simulation of balanced scorecard for forecasting cybernetic cost collaboration of engineering enterprises
Authors: Utkin A I 
Published: June 2021

Abstract
The article examines the problem of simulation modeling of the relationship between the level of production efficiency of mechanical engineering enterprises and the distribution of cybernetic costs in the process of mechatronic robotic functions collaboration. Within the framework of the balanced scorecard concept, based on the methodology of experimental studies using raster electronic mechatronic modeling of cybernetic contact zones, a comprehensive forecasting of the influence of key leading positive and negative projection factors on the effectiveness of cybernetic cost collaboration is carried out. Through the author’s simulation method of criteria-based analysis strategic projections of the balanced scorecard are formed and the simulation model of the resource potential of the cybernetic cost collaboration of engineering enterprises is proposed. As a result of the research, an analytical tool for evaluating and managing the production efficiency is elaborated and it contains the concept of simulation modeling of the interdependence between the cybernetic cost collaboration and the factors of the balanced scorecard projections. The simulation technology of the balanced scorecard ensures the convergence of the processes of functioning of mechatronic robotic factors, components and systems within the framework of optimizing cybernetic costs and identifying prospects for the sustainable development of mechanical engineering production.
Smart manufacturing control system based on deep reinforcement learning
Authors: Nikolaev E I , Zakharova N I , Zakharov V V 
Published: June 2021

Abstract
The base of smart manufacturing contains two main components: cyber-physical systems and the Internet-of-Things (IoT). But the progress in machine learning, Big Data and deep learning technologies have a great impact on all areas of the modern economy, including information technology, industry. The capabilities of deep learning models associated with the ability of intelligent systems to make decisions significantly transform the key paradigms of intelligent production systems. The gap between the principles of human decision-making and intelligent systems is constantly closing. New approaches to decision-making based on deep models allow bringing the benefits of human control into production processes, and, at the same time, getting rid of errors associated with the human factor. The paper proposes an architecture for building multipurpose manufacturing systems based on deep machine learning models and reinforcement learning technologies.
Flow model in the impeller of a centrifugal pump
Authors: Chernenko V V , Chernenko D V 
Published: June 2021

Abstract
The calculation of the fluid flow in the interscapular channel of a centrifugal impeller with a finite number of blades, the construction of the energy characteristics of the impeller and its optimization by the number of vanes are considered. The calculation consists of two parts: firstly, the determination of the theoretical pump head taking into account the effect of a finite number of vanes based on the analysis of the force interaction, and, secondly, the determination of hydraulic losses in the impeller by integrating the friction stresses over the limiting surfaces. The results from both parts are used to optimize the number of vanes in the pump impeller.
Methods of calculation of standard parameters in the system of maintenance and repair of the atmospheric column
Authors: Vakulenko M V , Zharinova N V 
Published: June 2021

Abstract
The modern theory of repairability of machines and mechanisms has received significant development. Today there are already theoretical concepts and prerequisites for creating a scientifically sound system of maintenance and repair of technical products of various branches of technology. From these positions the review of various repair strategy in aspect of their applicability to an atmospheric column of K-2 of installation of primary oil refining of EDP-AVT-6 is interesting.
Problems of hydrate formation in production oil products from gas condensate wells
Authors: Ivanov O S , Afanasenko V G , Zaripov R T , Nigmatullin M A , Fedorov A Y 
Published: June 2021

Abstract
One of the most important problems in gas production at fields is hydrate formation -a process in which hydrates, settling on the inner walls of technological equipment, reduce their throughput, and therefore it may be necessary to stop the entire technological process for the purpose of unscheduled repairs, which leads to significant economic losses. The article presents the results obtained in the course of research, analytical work, namely: the assessment of the share of hydrocarbon production by region; analyzes of the main methods of combating hydrate formation; development of a methodology for comparing methods of combating hydrate formation among themselves; determining the most acceptable geography for the application of a particular method; forecast of the popularity of the method for 5 years.