bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Micro Service Architecture of Power Information System Based on Docker Container
Authors: Qian Lin , Chen Haiyang , Yu Jun , Zhu Guangxin , Zhu Jiyang , Ren Chunlei , Mei Zhu , Pang Hengmao , Xu Mingjie , Wang Lin
Published: March 2020

With the development of energy internet, the complexity of power information system is increasing day by day, and the ecosphere of cooperation and sharing among different industries is gradually formed. Based on Docker container technology and Kubernetes container layout technology, this paper studies the design principle and top-level architecture of power information system micro-service platform, and proposes the implementation scheme of service discovery, message communication and load balancing in power information system micro-service. Finally, the performance of the system is verified by simulation experiments.
Evaluation on the emission reduction benefits of China’s Carbon Trading Pilot
Authors: Zheng Tianli , Liu Ning , Zhu Jianling , Qi Zhaoyu , Hu Jianbo , Xiong Hongxia , Sun Jiahui , Peng Shitao
Published: March 2020

Evaluation on the emission reduction effect of the carbon trading pilot is very important for China’s energy conservation and emission reduction. This paper uses the generalized linear model to evaluate the emission reduction effects of China’s carbon trading pilot. The results show that existing Carbon Trading Pilot slow down the relative increase of carbon emissions in the pilot areas, and their emission reduction effect is relatively obvious before and after the establishment of the carbon trading pilots from 2010 to 2012. However, as time goes by, the emission reduction effects in the adjacent period become weak. Therefore, it is necessary to implement the national carbon market as soon as possible to promote the energy saving and emission reduction of national province scale.
Research on carbon emission reduction based on the optimization of transportation structure under VAR model
Authors: Li Yuqian , Zhang Qiong
Published: March 2020

In the process of rapid economic development,protecting the environment has becomean important task.As the world’s second largest greenhouse gas emission sector, the transport sector’s emission reduction situation is not optimistic. Based on the theoretical mechanism analysis of the impact of transportation structure on carbon emissions, this paper studies the impactof transportation structure change on carbon emissions, aswell as the duration,degree and response direction of transportation structure optimization and carbon emissions.Based on the empirical results, the dynamic interaction mechanism between structural factors and transportation carbon emissions is discussed in the hope of contributing to environmental protection.
Study on the Strategy of Mass Health and Physical Fitness Promotion in Tibetan Plateaus from the Perspective of Environmental Science
Authors: Yang Ying jie
Published: March 2020

Based on the methods of literature, questionnaires and mathematical statistics, the health status and physical fitness activities of Tibetan plateau people are studied based on environmental factors. In response to the existing problems, it is recommended that the management department rationally and scientifically avoid environmental unfavorable factors in the context of “precise poverty alleviation” and “counter aid construction”, and take measures to promote the physical health and physical fitness activities of the Tibetan plateau masses. We will promote the implementation of the national fitness program in Tibetan areas and accelerate the poverty alleviation in Tibetan areas.
Design and Implementation of Vulnerability Scanning Tools for Intelligent Substation Industrial Control System Based on Openvas
Authors: Xia Yongjun , Wang jin , Liu Chang , Yu Kaiming
Published: March 2020

This paper analyses the current status of the intelligent substation industrial control system network and the main problems of security protection methods. Based on the analysis of the characteristics of intelligent substation industrial control network, a vulnerability scanning system based on OpenVAS is designed. The vulnerability scanning system is superior to the original vulnerability scanning system in performance and functionality, which effectively improves the security performance of the entire system and reduces system risk.
Research and analysis on parameter identification of model system based on running, gymnastics and other physical exercise population
Authors: Gou Xiaoping , Zhang Wanjun , Guo Qiurong , Li Bingze , Yang Chunhua , Zhang Feng
Published: March 2020

The increase of population in running, gymnastics and other physical training is an important factor in improving the quality of sports in China. By establishing the model system parameter identification of running, gymnastics and other physical exercise population in old areas of Shaanxi, Gansu and Ningxia, and using the method of random sampling of social survey, 900 college students were investigated. It also conducted in-depth research on the parameter identification of running population, gymnastics population identification and other types of sports population parameter identification, and through the analysis of parameter identification patterns, increased the number of running, gymnastics and other sports students’ sports population. It provides a reference for the study of college students’ sports population. The simulation results verify the feasibility and effectiveness of the parameter identification method of the model, which is of great use and reference value in the research of scientific research theory.
Recent Progresses on Detection of Mercury Ions for Protecting Vegetable Products Safety
Authors: Xing Yanxia , Zhu He , Chang Guifang , Yu Kexue , Yue Fengli
Published: March 2020

In vegetable industry, heavy metal pollution is a serious problem, which possesses a serious impact on the human health, hinder the development of vegetable industry. It is valid to promote the detection of mercury ions for protecting food safety, especially, vegetable is a sensitive kind of agriculture product for it need amount of water to irrigate, which would bring exogenous mercury ion into it. Among them, mercury ion (Hg2+) is the most poison substance. Detection of mercury ion includes atomic absorption spectroscopy, atomic fluorescence spectroscopy, inductively coupled plasma mass spectrometry, although they have high detection sensitivity, but no information compared their differences for pointing which one is more suitable for detection of mercury ions in vegetable processing industry. Thus, we reviewed the advanced detection skills in analysis of Hg2+, and pointed that anisotropic characteristics of gold nanorods to achieve differential imaging under polarized light microscopy is the suitable method to analysis Hg2+. As well as, we gave a prospective for the future of this detection skill.
Division of Driver’s Vision Plane Based on K-means Cluster Analysis
Authors: Ji Bingkui , Yao Xueping , Men Yuzhuo , Li Mingda
Published: March 2020

The division of the driver’s vision plane is the basis of study on the driver’s fixation objects and area of interest. This paper firstly collected the driver’s eye movement data through a large number of real road tests. Then, considering the driver’s areas of interest in driving, the K-means clustering was adopted to cluster plane coordinates of the drivers’ the fixation points to divide the driver’s vision plane. Through the comparison of the clustering results, the best clustering result was selected, and the driver’s vision plane was divided into eight regions. Finally, this paper studied the distribution of the drivers’ fixation points in each region at parking, straight going, left turn and right turn. The results have verified the higher accuracy of the K-means clustering for the division of the driver’s vision plane.
Application of Blockchain Technology in Pet Medical Industry
Authors: Zhang Huajie , Wu Shaofei , Wang Shenkuo , Xia Ning
Published: March 2020

According to the development status of the pet diagnosis and treatment industry, it can be found that the industry is still on the rise at present, but the island phenomenon of information in the traditional medical industry information system also exists. The authenticity and timeliness of information interaction cannot be guaranteed, and Problems such as difficulties about industry chaos and data access also limit the development of the industry. This paper puts forward a model of pet medical data sharing based on block chain, and it has many characteristics, such as safety reliable, decentralized applies to resolve such problems as pet medical industry data sharing. The existing consensus mechanism has been improved, and then the solutions of the model and the possible impacts are discussed and analyzed by comparing the problems of the industry.
Research on Principle and Application of Convolutional Neural Networks
Authors: Zhou Hang , Sun Qichen
Published: March 2020

At present, in the field of image recognition, convolutional neural networks have become a research hotspot. Based on the neural cognitive machine, it further reduces the complexity of network models.Convolutional neural network (CNN) has the characteristics of simple structure, less training parameters and strong adaptability because it reduces the weight of nodes.In this paper, the network structure, neuron model and training algorithm of convolutional neural network are studied. On the basis of this, the application of CNN in shape recognition is taken as an example, and the related network structure and experimental results are given.
Anomaly Detection of Arm X-Ray Based on Deep Learning
Authors: Wang Jingchen
Published: March 2020

The goal of this paper is to determine whether the arm has a fracture by detecting the X-ray of the human arm. This paper used the Keras deep learning framework and use the NASNetMobile model for training. The data set is MURA-v1.1, and the test accuracy on the verification set is about 70%. After downloading X-ray photographs of fractured arms, this paper performed an anomaly detection of the single image to test the accuracy of the model.
Design on the Cultivating mode of Applied Talents Based on the OBE
Authors: Liu Renshan
Published: March 2020

The upgrading of social industry requires a large number of applied talents. Cultivating applied talents is the objective requirement of the transformation and development of local universities. OBE (Outcome-Based Education, which is expected to result oriented education) is a kind of education structure mode, which takes learning outcomes as the center to organize, implement and evaluate education. This paper systematically expounds the connotation and theoretical basis and characteristics of OBE education. Through the concept of OBE education, the paper designs process of formulating objectives and standards of cultivating applied talents, at the same time, integrates the curriculum system with the project decomposition method. Research and practice shows that the cultivating method based on OBE can effectively improve the engineering practice ability and innovation ability, which can to provide operable theoretical guidance for developing high level applied talents cultivating.
Handwritten Digital Image Classification Based on PCA Dimensionality Reduction
Authors: Li Xingxing , Duan Chao , Zhi Yan , Yin Panpan
Published: March 2020

Dimensionality reduction is an important idea in machine learning. In the machine learning, some high-dimensional data sets are often encountered. In the case of high-dimensional data, data samples are sparse and distance calculations are difficult. Such problems are serious problems faced by all machine learning methods. “Dimensional disaster.” In addition, linear correlation between features is easy to occur in high-dimensional features, which means that some features are redundant.
Research on Group Risk Security Decision Based on BP Neural Network Algorithm
Authors: Wang Yue , Lu Na
Published: March 2020

Aiming at the uncertainty and diversity characteristics of risk assessment objects in group decision making, this paper proposes an information security risk assessment method based on BP neural algorithm. The paper gives a detailed risk assessment process and evaluation method for group decision-making security. The established group decision-making risk assessment system adopts the BP neural network method, which is a non-linear method, without obvious subjective components and human factors, making the evaluation results more effective and more objective. The example shows that the calculation results are close to the success story results
Intelligent Control System of Water and Fertilizer in Greenhouse Based on Tomato Phenotype Discrimination and Growth Environment Prediction
Authors: Qiu Qin , Cao Shanshan , Kong Fantao , Zhou Xiangyang , Han Shuqing , Sun Wei
Published: March 2020

In this paper, the real-time greenhouse tomato phenotypic parameters data were obtained, and the current tomato growth and growth status were identified based on the in-depth learning method. Combined with the tomato phenotypic parameters data under the optimal water and fertilizer conditions, the comparative analysis was carried out. According to the difference of phenotypic parameter data of tomato, the deficiency status of water and fertilizer was identified, and the target scheme of water and fertilizer was determined. Based on LSTM neural network model, the predicted value of environmental parameters was obtained, and compared with the standard value of environmental parameters for the purpose of stopping irrigation and fertilization.
Vortex Beam Generation Method based on Spatial Light Modulator
Authors: Peng Kaifei , Shen Xueju , Huang Fuyu
Published: March 2020

Aiming at the problem that the vortex beam is difficult to obtain under laboratory conditions, a vortex beam generation method based on spatial light modulator (SLM) is proposed. The collimated laser beam is modulated into a vortex beam by uploading a spiral phase mask attached to a grating on a SLM. Simulation results verify the effectiveness of the proposed method. The beam obtained from the experimental results also conforms to the properties of the vortex beam.
Climate Change Influences Regional Instability
Authors: Duan Yanan
Published: March 2020

We establish a Multiple Linear Regression Model to study the relationship between climate change and national vulnerability. Meanwhile, put forward the state driven interventions and estimate the total cost to reduce the national vulnerability.
Study on the Quality Difference between Hainan Ruijin Black Pork and Ordinary Pork by MR Imaging
Authors: Yang Fang , Xu Jianmei , Li Jiping , Huang YuYan , Lin Qing
Published: March 2020

This study is based on low field nuclear magnetic resonance (LF-NMR) to detect water content, and discuss with the Hainan Ruijin Black Pork and common lean pork differences at the molecular level, which provided data support for Hainan Ruijin Black Pork as brand pork. From the ratio of peak apex time and peak area of combined water, non-flowable water and free water, the difference between the two kinds of pork can be seen. Hainan Ruijin black pork has a lower peak time than the free water T23 of ordinary lean meat type pork, but the ratio of T23 peak area is high, indicating that the cell gap between Hainan Ruijin black pork and water is tight and the water content is high.
User Preference of Different Artificial Intelligence Level in Vehicle System
Authors: Ma Jun , Zuo Yuanyang , Gong Zaiyan
Published: March 2020

With the development of artificial intelligence technology, the functional requirements of the vehicle central control panel becomes various and abundant. This work studies the preference degree of the user’s in different artificial intelligence level, which is of great significance to the application research of artificial intelligence technology in the car interaction design. This paper uses the driving simulation test method to conduct experiments. Through the qualitative research on 20 users, the Chinese users’ preference has been studied, which provides a new research content for the application of artificial intelligence technology in the driving process.
Study on the wireless transmission method of cosmic ray detector in NPPs
Authors: Yu Qian , Cheng Xiaolei , Yi Zhong , Jiang Lixiang , Sun Jipeng
Published: March 2020

The data detected by the cosmic-ray imaging detector used to imaging the distribution of nuclear fuel cannot be transmitted outside the vessel. An ultrasonic through-wall communication system is designed to support the true-wireless monitoring in NPPs. This system could transmit data through the Steel Lining or the concrete wall of the containment wirelessly without cables and penetration, which could protect the leakproofness and integrity of the containment and enhance the safety of NPPs. With 40 kHz ultrasonic carrier waves, this system could communicate at 4.8kbits/s baud rate through over 10cm concrete wall, over 10cm steel liner and 10cm lead + 5cm steel combination wall. An application test has been finished on the 20:1 experiment containment to AP1000 in the Beijing Key Laboratory of Passive Safety Technology for Nuclear Energy, this system could operate steadily with 0 error rate.
Effect of Confucius’ Pillow Elixir on Cognitive Ability of Agrypnia Mice and Its Mechanism
Authors: Ren Yumei , Sun Ning , Chen Wenyu , Chen Yan , Ma Mengge , Wang Xiao , Meng Yongli , Cao Zhaoxia , Cai Ruijuan , Ren Shicheng , Liu Xiaomei , Liang Xuejiao , Wang Dexing , Shen Guangbin , Zhang Huxiao , Zhang Bing , Li Yuzhu , Qi Binbin , Li Xiaobing
Published: March 2020

Aim: To investigate the influence of Confucius’ Pillow Elixir on cognitive ability of agrypnia mice and its mechanism. Methods: Twenty-four mice were randomly divided into normal group, model group, Confucius’ Pillow Elixir group and Diazepam group. Mice were suffered from continuous sleep deprivation with improved multi-platform water environment sleep deprivation boxes. Normal group and model group were given the same amount of normal saline, Confucius’ Pillow Elixir group was given Confucius’ Pillow Elixir decoction and Diazepam group were given Diazepam. During the experiment, we need to observe and record the general state and body weight of each group of mice. The open-field experiment and Morris water maze were conducted. Gamma-aminobutyric acid (GABA) concentration in serum of mice was determined by Elisa. Results: In the open-field experiment, compared with the model group, the number of horizontal motion grids in the Confucius’ Pillow Elixir group increased significantly, with statistical difference (P<0.05).In the Morris water maze positioning navigation test, compared with the model group, the escape latency of Confucius’ Pillow Elixir group was significantly reduced, with statistical difference (P<0.01). Compared with the model group, the GABA concentration in Confucius’ Pillow Elixir group was significantly decreased, with statistical difference (P<0.01).
Research and Implementation of Object Tracking
Authors: Tian Jie , Wang Guanglong , Gao Weiwei , Fang Dan
Published: March 2020

Aiming at the problems that the traditional MeanShift has a singleness feature, this paper introduces depth feature based on binocular vision, thus proposes a depth feature based real-time MeanShift tracking algorithm. Firstly, a similarity measurement method based on advanced quadratic-form distance is put forward. Secondly, the self-adaptive adjustment mechanism of feature weight coefficient and updating strategy of object model are improved based on the color and depth features. Finally, the algorithm is simulated by Matlab. Results show that the proposed algorithm performs well in tracking accuracy, robustness.
Camera model and parameter calibration
Authors: Li Xingxing , Zhi Yan , Yin Panpan , Duan Chao
Published: March 2020

Each camera has its own model and parameters. Accurate calibration of the camera’s model parameters can effectively prevent distortion effects and ensure image imaging. In this paper, the three-dimensional space points of the camera model are linked with the two-dimensional image points, and the in-plane distortion parameters of the camera are obtained by using the checkerboard calibration method, thereby distorting the image and restoring the image imaging effect.
Effect of river damming on phosphorus retention in China
Authors: Luo Zongbao , He Li
Published: March 2020

The construction of hydropower stations not only improves water conservancy and hydropower generation, but also seriously hinders the natural biogeochemical circulation of rivers, resulting in phosphorus retention in reservoirs, eutrophication of water bodies, and finally phosphorus pollution. Therefore, it is of great significance to study the effect of phosphorus retention in the closure of dams of hydropower stations.In order to solve this problem, this paper, based on the global news model, simulated the retention of phosphorus in eight dams and reservoirs in China.The results showed that :(1) phosphorus production was higher in the densely populated and economically developed basins along the southeast coast of China, among which the phosphorus production was highest in the Yangtze river basin and the pearl river basin, reaching 139 kg/(km2· yr) and 161 kg/(km2· yr), respectively.(2) China’s dams are mainly built in the middle and lower reaches of the Yangtze river, which is closely related to the rich water resources and the developed regional economy.It is worth mentioning that the dams with the highest phosphorus retention are also located on the major rivers of the Yangtze, Yellow and Huai rivers.In general, the areas with high phosphorus retention are mainly concentrated in central and southern China.Population, economy, latitude, area, runoff and other factors will be the key factors to determine phosphorus retention.
Correlation study of Submerged Macrophytes Growth and Environmental Factors in Lake Qionghai Wetland
Authors: Li Xiaoyan , Yang Jun , Qi Dongming , Huang Zhiqiu , Yang Hong
Published: March 2020

The characteristics of submerged macrophytes communities, water environment factors and substrate environmental factors of Lake Qionghai wetland were investigated in April 2018 by laying out 21 sample points. A total of 8 submerged macrophytes species were recorded in the 21 sample points. Myriophyllum spicatum, Vallisneria natans, Ceratophyllum demersum, and Potamogeton malaianus were the main submerged macrophytes species in Lake Qionghai wetland. The depth of submerged macrophytes was less than 2m, and submerged plants were found in most areas of lakeside zone. Submerged macrophytes had a strong adaptability to substrate, it could grow in artificial stacked group rocks, natural lakeside stone sand, natural alluvial river sand, loess and silt, etc, but the substrate with high nutrition was more favorable to the growth of submerged macrophytes than the substrate with low nutrition. Water nutrients, bottom nutrients and water depth are the decisive factors affecting the growth of submerged macrophytes, while transparency, chemical oxygen demand, light, temperature, water flow and pH are the decisive factors affecting the survival of submerged macrophytes.
Evaluation of Water Transport Energy Efficiency in Jiangsu Province Based on Unexpected Output
Authors: Chen Jing
Published: March 2020

In this study, the non-expected output SBM - undependable model was introduced to evaluate the efficiency of waterway transportation in Jiangsu province from 2007 to 2015. The results show that: (1) The evolution of water transport efficiency during the study period is characterized by a small fluctuation in the early stage and a large change in the late stage. Between 2007 and 2012, efficiency values ranged from 0.4 to 0.6, and were at an inefficient and stable stage; Between 2013 and 2015, efficiency values ranged from 0.6 to 1.0 and were in a medium - to high-efficiency fluctuation phase. (2) Through the analysis of the reasons of inefficient transportation in the study period, we can find that there are some phenomena in Jiangsu province, such as redundant input factors, low energy utilization rate and more unexpected output. The efficiency of water transport in Jiangsu province can be improved by optimizing the transport capacity structure, improving energy efficiency and reducing environmental pollution.
Study on the Action Process and Mechanism of Fluorine between Reservoir Water and Bottom Sediments
Authors: Liu Qing
Published: March 2020

The surface sediments in the control of pollutants in surface water fluoride fate plays a key role and effectiveness, to reveal the process and mechanism of action, the dynamic test and the adsorption and desorption experiment, combining with the pseudo two order kinetics equation, isothermal adsorption equation, simulation of reaction process between three springs reservoir sediment and reservoir water fluoride. The results showed that: (1) by fluorine ion dynamics in the process of chemical reaction control in surface sediments, can be described by the pseudo two order kinetics equation, the fitting equation is t/qt= 0.7401t + 0.1266, the correlation coefficient R2 = 0.9985; (2) the linear adsorption isotherm of F-in surface sediments, the regression equation is Qe=0.0047Ce+0.0115 that decision coefficient of R2 reached 0.99, the saturated adsorption amount of F-in the sediments of 30.56 mg/g.
An improved method of Tiny YOLOV3
Authors: Gong Xiaotian , Ma Li , Ouyang Hangkong
Published: March 2020

Target detection is the basic technology of self-driving system. In this paper, the problem of high detection rate of pedestrians and other small targets is studied in real-time detection of Tiny YOLOV3 target detection algorithm, and the network structure of Tiny YOLOV3 algorithm is improved. 2-step convolutional layers are added to the network, and deep separable convolution constructs are used to replace the traditional convolutions. On the basis of the original two-scales prediction target of the network, a scale is added to form a three-scales prediction, which can makes the detection of small targets such as pedestrians more accurate. The experimental results show that the average accuracy of the improved target detection algorithm is 8.6% higher than that of Tiny YOLOV3, and it meets the real-time requirements and has certain robustness.
Research on Lipstick Modeling Based on Grey Relational Analysis
Authors: Wang Wenqing , Fu Chengjie , Shen Xuehui
Published: March 2020

In order to define the product modeling elements that best meet the emotional needs of consumers, the priority evaluation mechanism of the modeling elements in the product perceptual design is established based on the grey correlation analysis method. Taking the lipstick modeling design as an example, firstly, using the Richter scale to investigate the consumer image value, based on the analysis software SPSS to confirm the product sample and the perceptual vocabulary, then using the morphological analysis method to confirm the characteristic distribution table of the product modeling elements, and to investigate the consumers’ perceptual image recognition. Finally, the gray relational analysis method is used to evaluate the priority of product modeling elements.
Investigation of the Photodetector Performance Based on the Ga2O3/Sb2Se3 Heterojunction
Authors: Zhao Bowen , Liu Xingzhao
Published: March 2020

This work demonstrates the fabrication of the p-n heterojunction photodetector between the n-type gallium oxide (Ga2O3) and the p-type antimony selenide (Sb2Se3). The p-n junction exhibits a turn voltage of 0.44 V and a rectification ratio of 28.25. The responsivity and detectivity of the photodetector device are as high as 9.28 mA/W and 4.23 × 1011 Jones at 0 V bias voltage, along with the excellent photoresponse speed (the rise/decay time of 834 μs/822 μs). Such results are mainly due to the good charge separation as a result of the formation of the built-in field. Our work provides value information on the Ga2O3/Sb2Se3 heterojunction based photodetector and enriches the opportunities on the photonic and electronic applications.
Research on Sustainable Science Development Education of Chinese Geography Textbook Based on GIS Visualization System
Authors: Huang Yimiao , Qu Yongjun , Chen Yanyu
Published: March 2020

With the development of the times, the education of geographic information system (GIS) in the basic education stage has been paid more and more attention. The entry of GIS into high school geography education is the inevitable development of basic geography education and the requirement of the times. In view of the important position of GIS in geography teaching, the cultivation of geography curriculum learning ability by normal students has become a problem that should be paid attention to. The rapid development of information technology and the in-depth advancement of the new curriculum reform have brought severe challenges to the sustainable scientific development of Chinese geography textbooks. At this time, the advantages of GIS technology in geography teaching are reflected. This paper analyzes the important educational functions of GIS in geography teaching and the current status of geography teacher’s map ability, and puts forward the optimization strategy of GIS geography teaching sustainable development: First, to clarify the teaching objectives of GIS geography teaching, and second, to optimize GIS geography The teaching content, the third is to strengthen the construction of professional faculty, the fourth is to adopt a variety of teaching methods, the fifth is to set up GIS geography teaching around the professional direction, and the sixth is to take the examination method. The innovative teaching thought has made useful attempts and explorations in accordance with the requirements of curriculum standards and case teaching. Combined with the basic requirements of Chinese teachers’ GIS level and software and hardware environment configuration, several countermeasures and suggestions are proposed to improve GIS. The status quo in high school geography education.
Evaluation and Analysis of Land Ecological Economic Benefit in Baodian Mining Area
Authors: Zhu Zhuwu , Wei Shoumei , Zhou Ke , Zhang Chenyang
Published: March 2020

As a resource for human survival, coal and land carry thousands of years of production activities. With the improvement of the scientific level, the mining volume of coal has increased by year, and the contradiction between coal mining and land resources has been increasing. On the basis of studying the impact of coal mining on the ecological and economic benefits of land, the entropy weight method and the coupling degree quadrant identification method are used. Taking the assessment, and taking Baodian Coal Mine of Jining City as an example, through the analysis of the economic benefits and ecological benefits of the mining area in 2010-2018, the coupling degree of ecological and economic benefits shows a curve of “semi-inverted U”, which is in line with the mining area. The law of land use development, the ecological and economic benefits of Baodian Coal Mine are in a relatively coordinated development stage.
A Mixed Recommended Algorithm Combining User Properties and Item Features
Authors: Xia Ning , Wu Shaofei , Wang Shenkuo , Zhang Huajie
Published: March 2020

In response to the problems of traditional recommended algorithm, such as data sparsity, changing of users’ interest, etc., this thesis proposes a mixed recommended algorithm blending User Properties and item features. First, propose a recommended algorithm based on User Properties after leading in users’ interaction factor and property weight in traditional similarity computation. Second, decompose the user-item matrix, and build the preference matrix and rating frequency matrix of user-item features. And then it proposes a recommended algorithm based on item features through leading in interest’s stable phase and improve the time attenuation function. Lastly, it generates a new mixed recommended algorithm after linearly combining these two algorithms. The Movielens dataset is used in this experiment, which turns out that the mean absolute error of the recommended algorithm proposed in this thesis significantly decreases comparing to traditional recommended algorithm.
Water Motion Safety Recognition and Monitoring System Based on the Wireless Signal Transmission
Authors: Yang Guobiao , Yi Qiuping , Wang Zhao , Liu Tingsheng
Published: March 2020

Motion process monitoring is the core component of motion state analysis system and motion safety assurance system. For the water sport, implementation of monitoring is directly related to the safety and security of sportsmen, which is more significant. This paper presents a kind of underwater sports safety monitoring system based on radar idea. The system consists of four parts: video acquisition, image processing, data sample comparison and signal transmission. Reasonable cameras are used to capture the whole swimming pool, and then the motion information parameters of the swimmers are obtained by image segmentation and tracking, and compared with the standard drowning behavior parameters, so as to determine whether the swimmers are drowning or not. If it is judged that a person may be drowning, the system will send out a corresponding rescue signal, which will quickly alert and notify rescuers through the wireless signal transmission system, so as to rescue those who may be drowning, so as to enhance the safety of people’s movement in the water. The drowning behavior is identified by the established drowning feature data sample set, which avoids the occurrence of invisible drowning events that are difficult to detect. By using the high-speed DSP, the data processing and alarm system’s timely response can be realized, which greatly shortens the rescue time, directly improves the survival probability of drowning and reduces the physiological damage. The design of the monitoring system will eventually help the lifeguards to complete the task of underwater movement safety.
Research and Implementation of Geography Information Query System Based on Improved B-Order Algorithm
Authors: Qian Lin , Wang Lin , Yu Jun , Zhu Guangxin , Pei Yinghui , Hu Xin , Mei Zhu , Pang Hengmao , Xu Mingjie , Chen Haiyang
Published: March 2020

With the rise of cloud computing research, more and more application systems begin to migrate to the cloud platform. However, the difference between cloud platform and traditional single or multiple sever model bring certain challenges to the system development. In this thesis, a Geography information query system based on HBase was studied and implemented relied on National Geography Public Welfare Project. The query system can make users to retrieve the information of sea wind and satellite images by the graphical interface. In the implement process of Geography information query system, this thesis studied and optimized the query technology. Firstly, in the query process of NearGoos data, B-order was used to divide the two-dimensional space and combine the sort features of rowkey in the table of HBase to optimize the spatial query. By improving the B-order algorithm, this algorithm made the query efficiency increase two orders of magnitude than before.
Integrated Design of Internal and External Flow Fields for Sea Cucumber Fishing ROV
Authors: Li Hansheng , Zhang Jiawei , Han Fenglei , Zhu Haitao , Zhu Runyu , Yao Jingzheng
Published: March 2020

This paper introduces the basic design of suction-type sea cucumber fishing device and its performance evaluation calculation method. According to the specific requirement and actual situation of sea cucumber fishing, the unique structure design of suction-type fishing method is proposed. Based on CFD method, the resistance of the device under water is predicted, and the internal and external flow field of the sea cucumber fishing device during underwater navigation and suction fishing are simulated interactively. Through the numerical simulation of the flow field inside and outside the device, the resistance of the device is evaluated to measure whether the propulsion force of the propeller can match the operation. Through the analysis of sediment suction, the suction force matching the device is calculated to improve the performance and reliability of the device.
Research on Nonlinear Characteristics of Bidirectional Adjustable Oil and Gas Suspension System And simulation analysis
Authors: Zhang Hang , Sha lin , Chen Xiangchun , Hu Wei , Li Jianhua
Published: March 2020

This paper introduces the definition and working principle of bidirectional adjustable oil-gas suspension system. Through theoretical analysis, the nonlinear working characteristics of bidirectional adjustable oil-gas suspension system are qualitatively studied. The system model is built by AMESim hydraulic simulation software, and the influence on the system working characteristics is analyzed by adjusting structural parameters and working parameters.
The Farmers’ Willingness to Enter the Collective Construction Land Market from the Perspective of Transaction Cost Economics: An Empirical Analysis of Nanhai District
Authors: Deng Mei-e , Chen Hong-bing
Published: March 2020

Considering the transaction cost of the existing transaction rules of collective construction land, in order to explore the farmers’ willingness to enter the market from the perspective of transaction cost economics, based on Logistic regression model, combined with the field survey data in Nanhai District, quantitatively analyzed the farmers’ willingness to enter the market.
Qualitative Evaluation Technology of Complex Equipment Guarantee Resources Based on Grey Theory
Authors: Li Jianzhong , Hu Jingkun , Sun Yiyang , Liu Heng
Published: March 2020

With the development of technology, equipment is more and more complicated. How to qualitatively evaluate the quality and integrity of an equipment guarantee resources is a complex process. In order to solve the complexity problem and improve the evaluation effect, the equipment guarantee resources are decomposed into guarantee spare parts, guarantee equipment, support facilities, technical materials, training and training guarantee, computer resources, packaging, loading and unloading, storage and transportation, and security personnel resources in eight aspects. At the same time, a qualitative evaluation technique for complex equipment guarantee resources based on grey theory is proposed. In addition to the general evaluation of scores through scores, the gray correlation calculation is used to calculate the overall evaluation of the resources. The degree of relevance allows the relevant personnel to have a detailed understanding of the overall situation of the guarantee resources and the importance of each part.
Quality of Service Management of Wireless Sensor Networks Based on Geotechnical Environmental Safety
Authors: Li Bin , Wang Yanjie , Shentu Nanying , Li Qing
Published: March 2020

In order to meet the requirements of data transmission reliability, a geotechnical environment security monitoring system based on wireless sensor network is proposed. The optimization control strategy uses the deadline miss rate as the QoS performance evaluation index. For the data transmission between the sensor node and the coordinator node, the PID controller is used to calculate the network bandwidth requirement of all sensor nodes, and then the system optimal problem is solved to realize the dynamic. The transmission period of the sensor node is adjusted to maintain the deadline miss rate at a normal set level, thereby improving the QoS of the network. Experiments show that the optimized control strategy improves the performance of the system and has good practicability in geotechnical environmental safety monitoring.
Shallow gas detection and data transmission in the formation
Authors: Zheng Junjie , Jia Shengyao , Li Qing
Published: March 2020

In recent years, with the proposal and implementation of national marine strategy, more and more marine engineering facilities are being developed. All marine engineering construction is bound to be inseparable from marine geological survey, and the existence of shallow gas in the stratum is also a big invisible danger in the engineering. Therefore, this study used waterproof and breathable film to separate the shallow layer of gas, then measured the methane concentration with infrared methane gas sensor and sent the formation information measured by CPTU probe the data acquisition module through the electromagnetic wave wireless module. Finally, all measured values are transmitted to the ground via a cable.
Experimental Study on Shearing Strength of Sand Pebble in Southeast Tibet
Authors: Liao Guangchen , Wei Jianfei , Xiang Rui , Wang Peiqing
Published: March 2020

In order to study the shearing strength characteristics of sandy pebble soil in southeast Tibet, this paper takes the sandy pebble packing of high road embankment of lalin high grade highway as the research object, and conducts particle analysis test on sandy pebble soil. On the basis of natural gradation, sand pebble soil was gradated and improved. In this paper, the undisturbed sand pebble soil and sand pebble soil with improved gradation were tested by direct shear tests under different vertical pressures.The results show that the stress-strain relationship of sandy pebble soil is mostly strain softening. The sandy pebble soil shears first,dilatancy occurs after,and the whole presents obvious dilatancy.The natural sandy pebble soil all has the phenomenon of grain deficiency,the shear strength of natural sandy pebble soil was improved by gradation. With the increase of the percentage of soil particle mass with a particle size of 20mm-60mm, the shear strength of sandy pebble soil increases accordingly. The physical and mechanical properties of sandy pebble soil was analyzed in this paper, which provides technical reference for the high embankment filling project in southeast Tibet.
Pavement Icing Forecasting Based on Long Short-Term Memory Network
Authors: Liu Wenjiang , Rao Zhongyang
Published: March 2020

In this paper, a method Long Short-Term Memory (LSTM) Network is proposed for road icing prediction in city road. Having attracted attention worldwide, pavement icing is considered to have detrimental effects on the traffic. Forecasting performance of pavement icing, thus, becomes an important issue for the traffic. In this research, we attempt to use a deep learning method to forecast pavement icing on Ji’nan in China. The LSTM of deep learning is used to build a major prediction model. LSTM can process and memorize the sequential data such as data concerning pavement icing in a given period of time. The experimental results show the performance on the models is very accurate. In addition, the sequential data on road icing prediction problem used by LSTM with memory model outperforms without memory operation.
Two-dimensional evacuation model under the influence of multiple factors
Authors: Wang Ke’ao
Published: March 2020

At tourist attractions with large crowds, we have to consider evacuating large Numbers of pedestrians due to an emergency. This paper discusses the evacuation of tourists in emergency, analyzes the possible bottlenecks, and establishes a relatively complete evacuation plan. We considered that although the place is a three-dimensional model, in a certain stage of the evacuation process, each floor is independent of each other, and individuals on different floors do not influence each other. Therefore, according to the fuzzy cellular automata (FCA) model, we adopted the modular processing method to establish the two-dimensional evacuation model initially. First, we established the movement speed and time model of tourists, then introduced obstacle reference factor, direction reference factor and control factor to modify the direction selection of tourists, so as to carry out orderly evacuation.
A Summary of the Significance of Soil Materials Research on Land Ecologicalization
Authors: Niu Yan , Peng Biao
Published: March 2020

With the development of human society, a large number of land problems have emerged. These land problems seriously endanger human health and the ecological environment. Land engineering is based on solving land problems. The core is the study of soil organic remodeling. A key research direction of soil organic remodeling is material research. It can provide necessary support for the harmonious development of human-land relations and land ecologicalization.
Impossible Differential Cryptanalysis of Surge
Authors: Qu Zhiqiang , Shen Xuan , He Jun
Published: March 2020

In 2018, Li Lang et al. proposed a new lightweight block cipher which is called Surge. Its block size is 64-bit, and the length of key size is 64/80/128-bit, respectively. They also proved that the cipher has good performance on security and effectively resists on differential attack, linear attack and algebraic attack. In this paper, some 4-round impossible differentials are constructed with the miss-in-the-middle method. Furthermore, 6-round impossible differential attacks are proposed on Surge- 64/Surge-80/Surge-128 algorithms based on the 4-round impossible differentials. The data complexity of the attack is 238/239/239.5 chosen plaintexts, the time complexity is 251.4/251.7/260.9 6-round encryptions, and the storage complexity is 240/240.1/249 storage units. This is the first time to make the impossible differential cryptanalysis for Surge.
Design of Spatial Posture Measurement System Based on Camera Perspective Projection Model
Authors: Dai Hailin , Wang Wei , Meng Fanwei , Dong Que
Published: March 2020

Aiming at the requirement of high precision, fast speed and high safety and reliability in ground zero gravity test of space mechanism, the design principle and system composition of space position and attitude measurement system based on camera perspective projection model are elaborated in detail, which effectively reduces the hardware failure rate and meets the requirements of space mechanism products. Interview test requirements.
Effect of Halogen Free-flame Retardants on The Mechanical and Morphological Properties of Kenaf/Polyurethane Foam Composites
Authors: Mohd Soberi Nur Suhaili , Rozyanty R , Zainuddin Firuz , Amini Hazim Mohamad
Published: March 2020

Kenaf/polyurethane foam (PUF) was synthesized form PUF and kenaf core fiber with expandable graphite (EG) and aluminum hydroxide (ATH) at varying amounts. In the production of polymer foam composites, the processing methods determine the properties of the final products. In this work, the potential of high energy milled on EG has reduced the EG platelet size to improve its dispersion in PUF matrix. From the results obtained, PU/KF/6ATH/10EG shows the highest mechanical properties, i.e. modulus and compression strength, while PU/KF/2ATH/5EG shows the lowest mechanical properties. Scanning Electron Microscope (SEM) shows the effect of adding kenaf fiber, EG and ATH in PUF to the foam cell structure and size.
Corrosion Resistance of Micro-Textured Surface Modified Alumina-Titania Coating
Authors: Wahab J. A. , Ghazali M. J. , Derman M. N.
Published: March 2020

Effect of micro-texture on the corrosion resistance of alumina-titania coated mild steel was investigated. The micro-texture was fabricated on the coating surface via laser surface texturing technique. Tafel extrapolation and immersion test was conducted to measure the corrosion resistance and corrosion mechanism of the coating in 3.5% NaCl solution. The results indicated that the micro-texture contributes to a significant improvement of corrosion resistance due to the formation small volume of air trapped in the micro-grooves, which resist the penetration of corrosive ions and reduce the area of solid – liquid interface. The WCA indicated that the textured surface had low wettability. The SEM analysis showed the occurrence of uniform corrosion. The analysis of EDS revealed that there was formation of corrosion product at the coating-substrate interface. In short, the resistance towards corrosion was increased up to 73% indicating that the resistivity of the coating against corrosion was improved by engraving the micro-texture on its surface.