bluuebunny/crossref_metadata_2025_split huggingface dataset:
License Plate Location and Recognition on Neural Network
Authors: He Zhilong , Xiao Zhongjun , Yan Zhiguo 
Published: September 2020

Abstract
This paper takes autonomous driving technology as the research background, and aims to improve the efficiency of the traffic system in real life, and proposes a neural network recognition method for license plates. The method realizes accurate location and recognition of LP (license plate) by constructing two neural recognition networks. For the LP location, a 11-layer convolution recognition network (CNN) is constructed. The basic step is to roughly locate the LP after preprocessing the image, and use the neural network to accurately locate the LP. For LP recognition, the 10-layer convolutional neural network constructed by inputting the segmented LP is used to realize character recognition, and the output result is obtained. The method is efficient and accurate, and can be applied to handheld devices in transportation systems.
News-based Machine Learning and Deep Learning Methods for Stock Prediction
Authors: Guo Junjie , Tuckfield Bradford 
Published: September 2020

Abstract
Stocks occupy a vital position in the financial market. Over the years, scholars have made unremitting efforts in forecasting the stock market. Because the more accurate the prediction, the more people will profit from the stock market. Machine learning has achieved excellent results in stock prediction. Nowadays, with the rise of deep learning, the stock prediction methods used by people are beginning to lean towards deep learning, and many results have been achieved. This paper will use news rather than traditional stock structured data for stock prediction, and we will use machine learning and deep learning methods in contrast. Moreover, we use natural language processing to process the news. The objects of prediction are stock indexes (DJIA, S & P500) and individual stocks (IBM, JPM). We find that deep learning performs at least 4.5% better than machine learning on prediction tasks related to stock indexes, and at least 3% better in the prediction of individual stocks. We discuss the implications of this result.
Head Posture Recognition Method Based on POSIT Algorithm
Authors: Wenzhu Sun , Jianping Cao , Zhongyun Sun , Guotao Zhu , Shisheng Yu 
Published: September 2020

Abstract
Helmet Mounted Sight (HMS) is an optical aiming and display device installed on the fighter, which plays an important role in modern air combat, but it cost a lot to install a real HMS on ground fighter simulator, so it is a wise choice to design a low-cost simulation HMS instead. In this process, the head posture recognition method is the key point in simulation HMS design. In this paper, a head posture recognition method is proposed for Flight Training Simulation. Firstly, the development process and working principle of Helmet Mounted Sight (HMS) are deeply studied, then the principle of POSIT algorithm is introduced, after that the head posture recognition method based on POSIT is proposed. Finally, the hardware design and software workflow of head posture recognition system are given.
Semantic Query Expansion based on Entity Association in Medical Question Answering
Authors: Cui Xue , Zhai Pengjun , Fang Yu 
Published: September 2020

Abstract
Query expansion technology is a common method to solve the semantic deviation problem between questions and answers in the question answering system. In medical question answering field, the current semantic-based query expansion method has the following two shortcomings. (1) In the stage of obtaining candidate extended terms, only the medical entity’s concept in the query is used, but the medical entity’s association between questions and answers is ignored (2) During the extended terms filtering stage, the interference of negative medical entities to the mutual information is ignored. Given the above-mentioned deficiencies, this paper proposes a semantic query expansion method based on entity association in medical question answering. This method first combines the query intent with the inference association between medical entities to obtain candidate extended terms from the medical knowledge graph. Then filter candidate extended terms using the selection method based on negative medical entity recognition and mutual information and thus get the final extended terms according to the co-occurrence association between medical entities. Experimental results show that our proposed method outperforms the query expansion method based on the thesaurus which commonly used in the current medical question and answering system.
A Study on the Change of Farm Using Artificial Intelligence Focused on Smart Farm in Korea
Authors: Hyunjin Chun 
Published: September 2020

Abstract
With the recent climate change, the agricultural environment is rapidly changing. Also, most of the labor population in rural areas moves into cities, which causes a serious labor shortage in rural areas. To solve this problem, governments around the world try to use cutting-edge technologies such as smart farms in agriculture. In Korea, for example, where labor problems are serious, huge research funds are invested in smart farms. And, in this study, I analyzed the technology status of smart farms in Korea. In addition, this research analyzed the operational status of smart farms and predicted future changes in agriculture. The results of the study are as follows. Agriculture has been considered the primary industry of each nation until now, but in the future it will be transformed into a high-value industry combined with artificial intelligence. Also, in agriculture, artificial intelligence will not only be used in crop production, but also in packaging and transporting agricultural products based on big data and clouding technology. As a result, there will also be many changes in the distribution structure of agricultural products. As such, the latest technologies such as artificial intelligence will not only improve the productivity of crops, but also enhance the efficiency of the overall agricultural industry. This results can be used as theoretical basic data when making smart farms using artificial intelligence.
A Study on the Development of Robot Education in the Fourth Industrial Revolution
Authors: Hyunjin Chun , Tongjin Kim 
Published: September 2020

Abstract
With the development of the Fourth Industrial Revolution, traditional education is evolving into a new education adapted for future society. In particular, with the emergence of artificial intelligence, education targeted at enhancing creativity gets increasingly important. In the future, robots will be used in almost all areas of social life. For this reason, many creative education programs that use robots will surely be developed. In this study, the development trend of robots education programs for children was centrally analyzed. Based on these results, the study further analyzed the current status of robot education. It also suggested the actual practical curriculum of robot education. The results of this study can not only suggest an educational direction for robot education, but also provide with theoretical basis to some extent for future education related to robots.
Experimental Study on Zhaoyuan Gold Tailings-Based Aerated Concrete
Authors: Li Qian , Li Keqing , Ni Wen , Zhang Siqi , Li Dezhong , Chen Wei 
Published: September 2020

Abstract
This paper discusses the preparation of aerated concrete using the massive gold tailings stockpiled in Zhaoyuan as the main raw material with a mixture of cement, lime, gypsum, and Al powder. Contents of gold tailings, gypsum, lime, Al powder, and water-material ratio are used as impact factors for orthogonal array test to determine the most optimized formulation. The formula optimized through orthogonal experiments is: gold tailings, 58%; lime, 26%; cement, 11%; gypsum, 5%; Al powder 0.048%; water-material ratio, 0.59. Based on this formula, the specimens have the highest strength and specific strength, being 6.15 MPa and 9.96 MPam3• kg−1, respectively. Dry apparent density is 617.5 kg/m3, which is in compliance with the requirements of the national standard on dry apparent density to be smaller than or equal to 625 kg/m3.
Formula Study on High Temperature Corrosion Inhibitor for CO2/O2 in Oil Recovery during Fire Flood
Authors: Yan Xuanqi , Jiang Weiqi , Wang Yingrui , Zhang Lili , Su Na , Shang Fang , Du Qingzhen , Yao Shangsheng , Chen Xi , Liu Zhigang 
Published: September 2020

Abstract
The purpose of this paper is to develop a kind of high temperature corrosion inhibitor and to resolve the problem of CO2/O2 corrosion in high temperature oil well. The experimental methods include CO2/O2 corrosion simulation experiment, screening experiment, formula compounding and orthogonal experiment which are used to test the corrosion inhibition rate at different temperature and concentration. HZ-9 high temperature corrosion inhibitor for CO2/O2 is developed in high temperature oil well during fire flood. The main component of HZ-9 is imidazoline quaternary ammonium salt, sodium isoascorbate assisting with high temperature resistant fluorocarbon imidazoline which has good corrosion inhibition effect with the corrosion inhibition rate is above 80%. The conclusion is HZ-9 can resolve CO2/O2 corrosion in high temperature oil well during fire flood.
Stress analysis of anchor chain on the floating breakwater structure with cage culture function
Authors: WangNa  , xing Li , gang Wang , guoqiang Chen , Yifeng Ji , nianfei Liu 
Published: September 2020

Abstract
The physical model test of floating breakwater and cage structure is carried out. Under the action of irregular waves, the structure is obtained. Different depth of immersion, Cage depth and wave period work on its Stress analysis of anchor chain. The results show that, when the period is short, the stress on the anchor chain increases exponentially with the increase of wave height. However, under the condition of long period, the variation of anchor chain force with net depth is not obvious, so it is not recommended to hang net cage for breeding.
Finite Element Analysis of the Hollow Spherical Shells plus Bolts Joints Used for Grid Structures under Uniaxial Compression
Authors: Du Bin , Yan Yajie , Yan Bo 
Published: September 2020

Abstract
Spatial grid structures are the preferred choice in long-span civil and industrial buildings. As the intersections of multiple bars, only when they possess the characteristics of high load-carrying capacity, lightweight and convenient alignment, can the development needs of modern architecture be satisfied. Concentrating on single- and double-layer grid structures, this paper presents a novel joint—the hollow spherical shell plus bolt joint, whose finite element model is established to analyze its failure mechanism under uniaxial compression. It is concluded that the failure such joint undergoes under uniaxial compression is an annular elasto-plastic buckling failure of plastic hinges along the thickness of spherical shells.
Trend and Cause Analysis of Seawater Quality in Jinzhou Bay
Authors: Zhao Da-Di , Tan Zhe-Ya 
Published: September 2020

Abstract
According to the water quality monitoring data of Jinzhou Bay in July 2018, September 2018 and September 2019, the change trend of seawater quality in Jinzhou Bay is analysed. The results showed that the degree of eutrophication increased with time. The excessive emission of active phosphate is the main reason for this phenomenon. In recent years, large-scale dredging and land reclamation have been carried out in Jinzhou Bay, which has effectively removed the polluted sediment and effectively controlled and improved the heavy metal pollution in Jinzhou Bay. Therefore, it is necessary to strictly control the discharge of polluted oil into the sea.
Experimental Study on River Sand Replacement in Concrete
Authors: Song Hongling , Gu Guangjuan , Cheng Yuan 
Published: September 2020

Abstract
With the basic continuous improvement of China’s infrastructure, the demand for concrete is increasing day by day. Sand is an important component of concrete, its characteristics have an important influence on various properties of concrete. In recent years, with the policy guidance of energy conservation and environmental protection, there is a serious shortage of river sand resources all over the country. So, it is urgent to replace river sand with energy saving materials, machine-made sand and superfine Yangtze River sand. Based on the determination of two kinds of sand, an experimental research scheme is proposed to compare the workability and strength of C30 concrete under different proportions. It needs to find out the best proportion relationship to replace river sand. It provides a feasible research scheme to solve the problem of river sand shortage.
Prediction Method of Monitoring Data Based on Data Correlation in Civil Engineering
Authors: Qiao Shengfang , Zhu Yi , Tang Mengxiong , Hu Hesong , Chen Hang , Hu Han 
Published: September 2020

Abstract
Wireless intelligent health monitoring has been widely used in civil engineering. However, ill-conditioned data could be generated due to the vulnerability to external interference sometimes. The ill-conditioned data have great influence on damage identification and condition assessment. Hence, the prediction method of monitoring data based on data correlation was presented in this paper. The correlation degree between multi-channels data was established by BP neural network. Then the ill-conditioned data was predicted and corrected by the correlation degree between the data, and verified by the measured data. The results indicated that high accuracy and engineering requirement could be achieved using BP neural network prediction method considering the correlation degree between multi-channels data.
Design contents and methods of bridge blasting demolition scheme
Authors: Mao Dejun , Yu Wenzheng , Chen Xu , Chunhua Wang 
Published: September 2020

Abstract
When the service life of bridge structure ends, it must be removed. Blasting demolition method is a common method in bridge demolition engineering, and a reasonable blasting plan is essential to safely achieve the goal of bridge blasting demolition. By summarizing and analyzing related research results and engineering practice experience, the design content and method of bridge blasting demolition scheme were studied. The design content of bridge blasting demolition scheme mainly includes blasting position design, network design, parameter design and safety protection design. In practical operation, some design work can be carried out by referring to simple theory, while some design work needs to be carried out by referring to relevant engineering experience.
Development and application of rebar information table module based on Revit platform
Authors: Zuo Weilong , Huan Guosheng , Zhu Jingde , Chen Leilei , Hong Xianghua 
Published: September 2020

Abstract
The era of three-dimensional collaborative design and digital design is coming, which boosts the confidence and expectations of the design industry. Autodesk Revit is a three-dimensional design software developed by Autodesk Company. At present, Autodesk Revit has a very perfect parametric design function in the field of industrial and civil architecture, but it still needs to be studied in the parametric design of other industries. Taking parametric modeling process of buttress retaining wall commonly used in water-related projects as an example, this paper studies the method and application of establishing parametric family model on Revit platform, and provides reference for building component parametric family model in basic design industry, in order to help the progress of three-dimensional collaborative design and engineering practice.
The Analytical Investigation of Residential Areas Thermal Environment Under the Process of Urbanization
Authors: Wu Shanglin , Liao Erdong 
Published: September 2020

Abstract
The rapid development of the modern city has posed many challenges for the outdoor thermal environment, and maintaining the comfort and safety of the city is a staple for achieving sustainable development. In this article, the relevant data of 7 residential areas in the city of Foshan were collected, and the outdoor thermal environment was simulated. The simulation results show that the average wind speed ratio of the 7 residential areas is small in difference, but the outdoor average daily heat island intensity (8:00-18:00) has a huge discrepancy, and the average outdoor heat island intensity of some residential areas can reach above 2°C per day. The analysis finds that the layout of the buildings’ group affects the site’s shadow rate, thus ulteriorly affecting the thermal environment of the residential areas during the summer. Therefore, increasing Guangdong’s shadow rate during the summer is necessary to reduce the direct radiant heat of the ground, further improving the outdoor thermal environment.
The Research of Green Reuse on Old Industrial Building A Case Study of Changchun FAW
Authors: Guo Weihong , Li Bin , Zhang Yuqing , Schnabel Marc Aurel 
Published: September 2020

AbstractWith the development of a large number of old industrial buildings, such as the relocation, transformation, demolition and other issues, how to reuse the building resources has become an urgent problem need to solve. This paper about architectural resources reuse, based on old industrial buildings in Changchun FAW, proposed using green technology to revive the vitality of old industrial buildings, at the same time, starting from the point of view of green energy-saving, proposed design principles, and recommendations about old industrial buildings green resources reuse in Changchun FAW.
“Design-Led Space” Series Show Flat Design - Taking Dongjin Century City in Xiangyang as An Example
Authors: Huang Wenjuan , Liu Yang 
Published: September 2020

Abstract
With the acceleration of our country’s urbanization process and the rapid development of the social economy, the urban living thought, the sense of high quality in everyday life and the upgrade of the entire social environment have contributed to the rapid rise of the real estate market, and different types of residential communities and commercial housing continue to emerge. As show flat design is the most important marketing method and marketing hot spot in the real estate market, a show flat design case with great design sense and artistry can often attract consumers’ attention at the first time, effectively transfer spatial information of the real estate, show the functional advantages of the house, and give future residents a sense of identity and confidence in the project. This article took three types of show flats in different design styles in the Dongjin Century City project in Xiangyang as an example to deeply analyze the spatial function analysis, color, soft decoration, light source and other factors that should be paid attention to during the design of the show flat, summarized the design-led and people-oriented principles, and created a show flat design in line with practical and functional factors of residence, to achieve the ultimate artistry, exhibition and marketing of show flats.
Analysis of Seismic Performance of Damaged Wooden Structure Column Foot
Authors: Zhou Xin , Li Tieying , Wang Yifan , Wang Jianliang 
Published: September 2020

Abstract
In order to study the dynamic response of the damaged timber frame column foot, a four-grade single-span timber frame model with damaged column foot was established to study the frequency change of the timber frame, and the acceleration trend of column top and foot under different frequencies and different peak harmonics were analyzed. The results show that the frequency range of the damaged wooden frame of the column foot is 0.8HZ-2.5HZ. With the increase of the input peak value, the shock absorption effect of the wooden frame under 100gal is obviously better than 50gal. As the elastic modulus of the damaged column foot increases, the shock absorption effect of the wooden frame gradually weakens.
The applications of parametric design in green building
Authors: Zhang Muen 
Published: September 2020

Abstract
High energy-efficiency has become an essential goal in many industrial branches. This paper introduces three approaches in which parametric design plays a connecting role between technical demands and building aesthetics. The first two methods focus on the scheme phase in architectural design. The findings indicate that the parametric approaches improve the efficiency and support decision-making in early-stage design. The third application is bio-inspired, which is based on the interaction between building systems and environmental influences. The study may serve as a brief review of technical achievement in the field of green building in the context of Parametricism.
Study on Cooling Saving Effect and Mechanism of Increasing Set Point
Authors: Wang Min , Long Enshen , Chen Linlin , Mao Ning 
Published: September 2020

Abstract
Increasing the setting temperature of the cooling system is one of the widely-known building cooling saving methods, but there have been few systematic studies on the differences in cooling saving effect of this method in a particular building, when considering different functions under the same climate conditions. This paper compares the yearly absolute cooling saving amount and relative cooling saving ratio of the same building with different functions in Chengdu when the setting temperature is increased from 26°C to 27°C. Moreover, it reveals the mechanism of the variation of cooling saving effects from the monthly and hourly dimensions.
Investigation of drying shrinkage of alkali-activated cement paste
Authors: Kong Yukun 
Published: September 2020

Abstract
This project studied the drying shrinkage of alkali-activated cement paste exposed to 75%RH environment, considering the effects of types (i.e. NaOH, Na2SO4, and CaSO4) and dosages (i.e. 1M, 2M, and 5M) of alkali activators. In this work, the length and weight changes of ‘mini-bar’ samples were measured to evaluate the degree of drying shrinkage for each group. Through comparing the results of the pastes mixed with different alkali salts, it has been found that drying shrinkage was usually exaggerated due to the addition of alkali salts. However, when mixed with 5M NaOH, OPC paste showed fewer shrinkage strains (even volume expansion) and weight increase, which was caused by water absorption from the ambient environment.
Vulnerability analysis of aqueduct structure based on boundary method
Authors: Cheng Gege , Zhang Yina , Huang Jinlin , Liu Jiabing , Zhang Jianwei , Zhang shuai 
Published: September 2020

Abstract
The damage forms of aqueduct under earthquake are mainly reflected in column of bent and rubber bearing. Taking a typical aqueduct as an example, the uncertainty of structural materials of aqueduct is considered by Latin hypercube sampling method; the uncertainty of ground motion is considered by stratified sampling method; the aqueduct sample and seismic wave are randomly combined to carry out time history analysis to obtain structural response; the limit damage states of column of bent and rubber bearing are defined respectively; the vulnerability curves of components are established by classical vulnerability analysis method. The system vulnerability curve of aqueduct structure is obtained by boundary method. The results show that the rubber bearing of aqueduct is more vulnerable to damage than bent frame. The failure probability interval obtained by the second-order limit method is smaller than that obtained by the first-order limit method, and the second-order limit method is more reasonable to evaluate the seismic performance of aqueduct structure.
Overview of I International Conference on Advances in Material Science and Technology - CAMSTech-2020
Authors: Kovalev I V , Testoyedov N A , Voroshilova A A 
Published: September 2020

Abstract
The overview describes the main directions and results of the I International Conference “CAMSTech-2020” held in Krasnoyarsk in July 31, 2020. It gives the details about the participants and the proceedings.