bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on Text Classification Algorithm Based on Machine Learning
Authors: Zhang Ping , Fang Yajie
Published: November 2020

In the era of big data, the data we analyze is no longer limited to numbers, while even more data analysis is based on text. Facing massive and complex data, traditional analysis methods cannot effectively process text data. Manual processing of text data not only consumes a lot of time and manpower, but also it is difficult to ensure the fairness and objectivity of the assessment. The development of machine learning provides us with an effective method of text mining. This article will introduce three classic algorithms in machine learning for elaboration, and apply them into a specific experiment to show the wisdom of machine learning in the field of text classification.
Research on Group Reverse Farthest Neighbour Query Algorithm
Authors: Liu Yongshan , Gong Xiang , Kong Dehan , Hao Tianbao , Yan Xiaoqi
Published: November 2020

In recent years, the demand for location-based services is growing. From resource tracking to personal life assistance, spatial data query technology plays an important role, especially the application of reverse nearest neighbor query technology in decision support, resource allocation optimization, data mining. By contrast, the reverse farthest neighbor query has become a more and more hot topic in the research of spatial database theory in recent years. The purpose of the reverse farthest neighbor query is to obtain the final result sets with the given point as its farthest neighbor, which is specially used to solve the problem of weak influence set in space. This paper gives a query optimization algorithm based on the least covering circle. The algorithm firstly introduces the minimal covering circle algorithm. Secondly, the p-ray pruning algorithm is used to filter the candidate set in the second level, and the candidate set is modified by the reverse far-neighborhood range query algorithm to obtain the final result set, which solves the problem in Euclidean effectively. Through specific comparative experimental analysis, c-grfn algorithm has good query performance not only in random distributed environment, but also in Gaussian distribution. It usually has 20% advantages of time in distributed space. As the data set increases, the time advantage becomes more obvious
Breast Cancer Prediction Based on K-Means and SOM Hybrid Algorithm
Authors: Lin Haoquan , Ji Zhenzhou
Published: November 2020

Breast cancer is one of the most serious diseases that threaten women’s health, affecting about 12.5% of women worldwide. Early detection of breast cancer is critical to saving lives. Therefore, If the physical examination indicators related to the human body can be extracted and the breast cancer can be analyzed through machine learning, which will play a key role in predicting and preventing breast cancer. As the high complexity and low precision of SOM neural network algorithm and shortcomings of K-means clustering algorithm needs to determine the number of clustering advanced and randomly select initial clustering centers, a hybrid algorithm combining K-means and SOM neural network is proposed in this study. The results show that the hybrid algorithm can accurately cluster the data sets, and compared with K means model and SOM neural network model, the performance of the hybrid algorithm model is better in clustering accuracy and computing speed.
An Automatic Detection Algorithm for Small Craters Based on Morphology
Authors: Ma Sushuang , Liang Jiarui , Tian Xiaolin
Published: November 2020

Study of impact craters on planetary surfaces has revealed secrets of the evolution of planets. Identifying craters on planetary surfaces has become fundamental in planetary researches, whereas time-consuming, e.g. months to years to collect crater database. Small craters, including a large number of secondary craters, have shown its importance in researches of planetary sciences, whose database requires construction. Whereas, few studies concentrate on detection of small craters. In this paper, the writer adopts morphology-based algorithm to detect and localize the crater candidates effectively. The methodology has shown its effectiveness by detecting 869 small crater candidates in a region covering 37500 × 56250 m2 on the Martian surface, with a precision of 79.29 %. Among those true positive detections, 91.25 % are craters with a diameter less than 1 km (not included). Compared with existing automatic detection methods on planetary impact craters, the method proposed in this paper performs better on detection of small craters, and it fills the blank of detection of craters with a diameter less than 200 m. Focusing on detection of small craters, it can provide a tool for quickly generating datasets for planetary scientific research in a targeted manner.
A novel Customer Service Recommendation Algorithm for Power Users
Authors: Ma Yuejiao , Liu Yongjun , Tao Ji
Published: November 2020

Aiming at the large amount of power user data and the fact that the collaborative filtering recommendation technology fails to consider the relationship between users and customer service staff, a k-means clustering and user portrait recommendation method is proposed. This method firstly uses clustering technology clustering the power users’ portrait label vectors to gather similar users together, and makes recommendations based on the cluster to which the users belong. Secondly, through calculating the user portrait label vector similarity between the attributes of the service feature vector to establish the connection between the user and the customer service, and improve the traditional grading forecast method, the user and the personnel of the service of similarity index is integrated into it. Finally, the personnel of the service will be recommended from the two aspects of service quality and service fits.
Research on Inverse Kinematics Algorithm of 6-DOF Industrial Robot Based on RBF-PID
Authors: He Dongkang , Shi Fusheng , Tan Shunxue , Deng Qigui
Published: November 2020

To solve the question of multi value and precision in the process of designing the inverse kinematics controller of 6-DOF Industrial robot, a radial basis function-proportional integral differentiation(RBF-PID) adaptive controller method has been proposed to train the inverse kinematics model of industrial robot. Compared with the traditional RBF neural network, the advantage of RBF-PID adaptive controller was that it had high search efficiency and was not easy to fall into local optimal solution. The simulation results showed that this method could not only overcome the influence of the initial value selection of the traditional RBF neural network learning algorithm on the network performance, but also had a good solution accuracy for the inverse kinematics of the 6-DOF Industrial robot. Compared with the traditional RBF neural network algorithm, the RBF-PID adaptive controller method had improved the performance of overshoot, adjustment time and anti-interference, and solved the problem of solving the multivalued inverse kinematics algorithm.
Research on Algorithm and Application of Shield Tunnel Distributed Optical Fiber Monitoring Data
Authors: Li Yujie , An Xiaoshi , Shen Wenyong , Zhu Li
Published: November 2020

Shield tunnels have different degrees of damage due to the differences in the surrounding soil properties, the disturbance of the soil during construction and the repeated loading of vehicles during operation, and there is a tendency to deteriorate with the increase of subway service time. The long-term and large-scale security status monitoring of shield tunnels is an important guarantee for the safety of subway operation. Two diagnostic algorithms based on strain monitoring data are proposed t in this paper, one is for the openness and dislocation of the segments, and the other is for the uneven settlement of the tunnel. The effectiveness of the two algorithms is verified by distributed optical fiber monitoring data of Beijing Metro Line 10. The calculation results are also compared with traditional monitoring methods. The proposition of these two algorithms provides a new idea for the analysis of distributed optical fiber shield tunnel monitoring data, which is beneficial to the promotion of distributed optical fiber monitoring technology.
Application of Particle Swarm Optimization Algorithm in Power Transformer Fault Diagnosis
Authors: Cao Zhong , Chen Chen , Chen Yu , Song Lei , Zhou Huirui , Zhao Guo , Guo Jiang
Published: November 2020

Fault diagnosis of power transformer is indispensable for power system reliability. To improve the function of fault diagnosis and overcome the “code absence” problem of the traditional ratio method, this paper presents a novel approach for oil chromatographic fault diagnosis based on particle swarm optimization algorithm. The PSO algorithm is used to obtain the optimal three-ratio value that can best represent various fault types of power transformers, and then the change trend of the characteristic gas of the power transformer is analyzed to predict the possible faults. Combining the stereogram method and the optimal three-ratio method, A comprehensive fault diagnosis method for based on oil chromatographic distraction is obtained. In the end, simulation of the actual oil chromatographic data of the transformer verifies the accuracy and effectiveness of the proposed method.
An Improved Chaos Quantum Immune Algorithm for Power Generation Expansion Planning
Authors: Han Shifen
Published: November 2020

In this paper, a new chaos quantum immune algorithm is proposed, which combines the ergodicity of chaos search and the efficiency of quantum computation into the immune optimization algorithm. In this algorithm, antibodies in the algorithm population are encoded by quantum bits and replaced by quantum revolving gate. At the same time, in order to evolve the quantum bits of the corresponding phase, we introduce two different chaotic variables into the quantum revolving gate. Among them, local search is realized by using a small number of excellent clones; the excellent clone with relatively large amplitude realizes global search. The convergence of this method is verified. At the end of the paper, a simulation example is used to show that compared with the existing methods, The improved immune algorithm has a great improvement in the efficiency of solving the problem, at the same time, it also improves the convergence efficiency.
Design Optimization of Composite Curved Rod for Wind Tunnel Virtual Flight Test Based on Multi-island Genetic Algorithm
Authors: Kong Peng , Lian Zhenzeng , He Miao , Peng Xiaoqiang , Song Jin , Lan Yu
Published: November 2020

The curved rod of carbon fibrecomposite is the key component of the large angle three degree of freedom virtual flight test device. This article takes the composite curved rod as the research object, Establish a finite element analysis model and analyze its strength and stiffness under the initial design conditions, the RSM response surface approximation model and multi-island genetic algorithm are used to optimize the carbon fibre composite angle of each layer of the composite curved rod, so that the maximum deformation displacement of the curved rod is minimized, As far as possible, the influence of the center of mass of the Virtual flight test model on the wind tunnel test data should be reduced. The optimization results show that relative to the initial design, the failure factor of the composite curved rod is reduced by 65.4%, the rigidity is increased by 35.94%, and the maximum deformation is reduced by 44.5%. In order to realize the simulation of flight motions close to 90 ° angle of attack in a horizontal wind tunnel, it provides equipment guarantee for the research of stall deviation, initial phase of spin and stable spin.
A New Transmission Control Application Protocol Optimization Method Based on PROFIBUS-DP
Authors: Wang Liming , Yan Xiaoling , Ouyang Ji-Neng
Published: November 2020

This paper presents an optimization solution on PROFIBUS-DP bus protocol with Ethernet technology. This plan can meet the demands of higher speed and higher reliability of transmission control protocol inside enterprises. It sets up DP Ethernet by defining physical layer, data link layer protocol and establishing EDDL function. The new constructed protocol named DP Ethernet is compatible with the applications based on upper PROFIBUS-DP protocols. It also can support much wider communication bandwidth. DP Ethernet protocol is more efficient than PROFIBUS-DP through analysis on message cycle time and message coding efficiency of networks based on these two protocols.
Optimal Design of Industrial Robot Kinematics Algorithm
Authors: He Dongkang , Liu Fangping , Wang Fuchun
Published: November 2020

According to the singularity problem in the working space of industrial robot, the reachability of robot is judged from the view of equation solution. Based on this, the optimal selection algorithm of multiple solutions of inverse solution has been given.PUMA560 industrial robot is the study object, the parameters of its mechanism and linkage are analyzed, and the forward kinematics and inverse kinematics of the robot are studied by D-H method. In the MATLAB environment, the robotics toolbox for modeling and simulation has been used, the simulation results show that the forward and inverse kinematics model is reasonable and correct. It lays a solid foundation for the follow-up research and development of robot.
Selecting of the Important Warehouses Based on Vague Sets
Authors: Wang Xiaowei , Fan Songfeng , Wang Jieya
Published: November 2020

Proposed a method of optimizing and sorting warehouse protection targets based on Vague sets. Analyzed the index factors that affect the selection and ranking of warehouse targets, and the fuzzy value representation of each evaluation index and the calculation method of index weight. This method can effectively avoid the subjective deviation caused by the traditional expert scoring method. Based on the method, a comprehensive evaluation model of security targets for key warehouses based on Vague sets is established, and methods for selecting and ranking security targets are given. Finally, it is verified by example analysis that the method has accurate evaluation results and has certain reference value for the scientific decision of warehouse leaders.
Flat Trajectory Optimization of Tilt-rotor Aircraft Based on Gauss Pseudospectral Method
Authors: Zhuang Jiayi , Zhang Qian , Zhang Jingjuan , Chen Jiyang
Published: November 2020

The tilt-rotor aircraft has the advantages of high flexibility, low energy consumption and high speed, however, it faces the problems of complex operation and control difficulty. To solve the optimization problem of autonomous landing track of mobile platform, a Gauss pseudospectral method is used to design the landing trajectory of the tilt-rotor with optimal energy and time consumption. Firstly, an autonomous landing trajectory optimization problem model is developed for the tilt-rotor mobile platform. Then, the non-linear planning problem is solved, and finally, the optimal trajectory is put into the control program for control simulation. The simulation results show that the trajectory optimization based on Gauss pseudospectral method can meet the constraints well, which is in accordance with the time and energy consumption of the control program. Meanwhile, the control program simulation results can also keep up with the designed trajectory. It is proved that the Gauss pseudospectral method could design the autonomous landing trajectory with high accuracy and high performance.
Design and Calculation of PC Composite Rigid Frame Bridge with Variable Section Steel Truss Webs
Authors: He Yonghai , Yan Tao , Fu Jundong
Published: November 2020

Steel truss web prestressed concrete composite bridge has many advantages, such as light weight, clear stress, beautiful structure, convenient construction, etc., but it is still in its infancy in China. Taking Shuinianbao bridge of Yanchong high speed as an example, this paper introduces the design method of PC composite rigid frame bridge with variable cross-section continuous steel truss web, and analyzes the static calculation of the whole bridge in combination with the code, so as to provide design reference for the construction and development of PC composite bridge with variable cross-section steel truss web. The analysis results show that: the calculation results obtained after modeling according to the design size meet the design requirements. Under the condition of ultimate bearing capacity, the top plate obtains a more uniform maximum resistance, and the arch curve makes the internal force of the bottom plate relatively small. Under the combination of short-term load effect, the main tensile stress of the inclined section appears at the position close to the support and the middle span section of the top plate. The main tensile stress of the steel truss web member is the most different under the unfavorable load combination, the maximum tensile stress is greater than the compressive stress, and the maximum tensile stress occurs at 1/4 of the mid-span.
A Method for Enhancing Global Safety of Regional Rail Transit Based on Coordinative Optimization of Passenger Flow Assignment and Train Scheduling
Authors: Zhang Mengyu , Dong Wei , Sun Xinya , Ji Yindong
Published: November 2020

Regional rail transit is a kind of comprehensive railway transportation system, which originates from the demand of economic integration of city groups and contains various kinds of sub-transportation systems such as high speed railway, inter-city railway, subway and monorail. Due to the deficiency of coordination between different kinds of transportation systems, the global risk of regional rail transit network greatly increases. Therefore, it is urgent to evaluate the rail transit network safety from a global perspective and enhance the safety through coordinative optimization. To address this problem, a method to evaluate the global safety of regional rail transit system based on passenger flow demand load is proposed, a mathematical model to minimize the global risk of rail transit network is constructed, and the global safety is enhanced by coordinative optimization of passenger flow assignment and train scheduling. An example on the regional rail system in Chengdu-Chongqing district validates the effectiveness of the proposed method. Compared with the method in the literature where only passenger flow assignment is considered, the example shows that the proposed approach can bring a further 10% decrease of the global risk of rail transit network.
Regional Differences and Dynamic Evolution of CO2 Emissions Distribution in China’s Construction Industry
Authors: Li Fen , Chen Jianbao
Published: November 2020

Based on the panel data of 30 provinces in China from 1997 to 2015, this paper uses Dagum Gini coefficient and decomposition method to study the regional differences and sources of China’s construction industry CO2 emissions, meanwhile uses Kernel density estimation method to analyze the dynamic evolution of its distribution in four regions. Research results show that: The regional difference of China’s construction industry CO2 emissions shows a trend of first rising and then declining, and the main source of regional differences is inter-regional differences. The absolute differences of China’s construction industry CO2 emissions are narrowing, and the weak polarization and gradient effect of the distribution of CO2 emissions gradually disappear. These results have important implications for the coordinated low-carbon development of China’s construction industry.
P2P Online Loan Willingness Prediction and Influencing Factors Analysis Based on Factor Analysis and XGBoost
Authors: Zhang Dongyang , Gong Yicheng , Yu Li , Wang Xiaojie
Published: November 2020

This paper selects the open dataset of the auction, combines the factor analysis with XGBoost, analyzes the dimension of the pre-processed high-dimensional data with factor analysis, and then uses XGBoost to predict the investment level of P2P online loan investors, and analyzes and quantifies the willingness to invest. The relationship with specific influencing factors. The main factors affecting the willingness to contribute through the ranking of the characteristic factors of the factor analysis and the reduction of the common factors include: the borrowing rate and the initial rating, the real name certification on the borrower’s mobile phone, and the repaid principal and interest paid. The model prediction results show that the XGBoost method combined with factor analysis predicts that the error rate of the investment level on the training set is train-merror: 0.03829, and the error rate on the test set is test-merror: 0.050386. Compared with the method using XGBoost alone, the prediction error rate based on factor analysis and XGBoost on the training set and the test set is reduced by 0.020706 and 0.0152, respectively, which significantly reduces the error rate; and shortens the operation time by 18 seconds. The conclusions obtained in this paper provide reference for the stable development of the P2P industry and the decision-making of investors.
Research on Restoration Technology and Protection of Island with Ecological Damages
Authors: Wu Jingui , Xu Xueyong
Published: November 2020

Island is a natural platform for people to develop marine resources. With the increasing marine economic development, the island ecology and environment are inevitable to be disturbed by human activities. Degeneration of island ecological functions will restrict sustainable development of economic society in island regions. It is necessary to coordinate consistence of economic development with resource protection and ecological environment in order to solve problems and contradictions in development of island, improve investment environment of island regions and realize sustainable development economic society in island. By analyzing environmental influences of island development, some ecological restoration technologies and protection countermeasures to destroyed islands were proposed based on a case study of the ecological restoration project in Qiaoliangshan Island, aiming to realize the goal of constructing a harmonious and ecological island as well as achieve the sustainable use of marine resources.
Analysis of Steel-Aluminum Anti-Collision Device for Pier Protection
Authors: Gao Xuanlin , Liang Li , Li Ming
Published: November 2020

Ship-bridge collision accidents often jeopardize the bridge structure, shorten the service lifespan, decrease the safety and durability of the bridge and cause losses in the seismic capacity. Therefore, it is necessary to conduct research and simulation on anti-collision facilities for piers. Aluminum foam has significant advantages in anti-collision and energy absorption performance as a new type of foam material. This paper uses ANSYS/LS-DYNA to simulate the process of a ship-bridge collision and analyzes the energy absorption effects of the steel-aluminum anti-collision sandwich structure.
The Design and Analysis of Roller Cone Bit Bearing Ring
Authors: Zeng Ming , Zhou Yi , Ma Yachao
Published: November 2020

Increasing the sealing performance of bearing rings of roller-cone bits plays an important role in reducing the bearing seal failure and improving the service life of drill bits. This paper conducts (1) the structure design of the sealing rings. (2) a simulation on the new designed structure of roller cone bit. The contact pressure together with the equivalent stress of the new tooth bars was analysed by building up the finite element model of the bionic non-smooth surface structure, beyond that the comparisons between the new structure and O type sealing ring were carried out. The results indicate that the ribbed sealing structure is capable of improving the wear resistance, postponing the wear abrasion and ageing, and increasing the service life of rubber ring.
The Bi-moment Analysis for Thin-wall Component under Non-uniform Torsion
Authors: Ye Runcheng
Published: November 2020

Thin-walled steel structural members are commonly used in order to reduce the weight of the building. It might be influenced by bi-moment, which was induced by torsion. In designs, engineers would normally neglect the bi-moment and let bending moment be the key parameter. However, for some situations, stress due to bi-moment would be greater. This study focus on the stress induced by bi-moment under eccentric load, applying on the flange of I section, which aims to find the critical eccentric to decide whether the bi-moment could be neglected. The model focuses on the plastic state with no buckling, using the finite element software Strand7. The result shows that for the I beam, the bi-moment has to be taken into account if the eccentricity is over 0.4.
Design and Evaluation of Experiment Course Arrangement System Based on Backtracking and Analytic Hierarchy Process
Authors: Zhang Zuozhen , Zhang Hengwen , Wang Baoyou , Kong Zhigang , Yao Yan
Published: November 2020

With the continuous expansion of the scale of colleges and universities, it may be necessary to temporarily add some experiment class while teaching, so the demand of the experiment course arrangement system is increasing. Based on the backtracking method, this paper constructs a basic algorithm for the problem of courses arrangement in the laboratory. The algorithm supports the functionality to adding new courses to the schedule at any time, and is able to randomly generate the schedule which generates different outcome at each time the algorithm runs. The branch prediction method is used to optimize the performance of the algorithm. At last, a personal and digital evaluation method of teachers and students’ satisfaction is given by using Analytic Hierarchy Process (AHP) to solve the curriculum problem. By using this method, the curriculum generated by this algorithm can be optimized, so as to getting more satisfactory schedule plan for teachers and students.
Research on Traffic Optimization Scheme of SDN Network Based on ME-HMM
Authors: Yang Yanchun , Sun Hongfeng
Published: November 2020

In this paper, a traffic optimization scheme based on Maximum Entropy- Hidden Markova Model (ME-HMM) in Software-Defined Networking (SDN) networks is proposed in order to resolve the load imbalance in SDN architecture. First, the data flow generated by the host in the SDN network was monitored, and denoising and analyzing would be carried out with the maximum entropy (ME) model to predict the network traffic for a period of time in the future, then the controller would be deployed. Next, the traffic flow was evaluated with Hidden Markova Model (HMM) and the deployment was optimized in the SDN control plane. With the feedback information, the scheme could optimize SDN network traffic and promote load balancing.
Test Case Generation Method Based on User Operation
Authors: Zhang Wei , Yuan Bowen , Li Zhe , Huangfu Ruishuai
Published: November 2020

After the software is published, its users are mainly operators. Although they can find problems with the software, they cannot identify and reproduce software failures. When the software fails, there must be a lot of information related to the failure in the running data of the software to be tested. Therefore, on the basis of obtaining the running data of the software under test, a test case generation method based on user operation is proposed. Based on the generation of software failure, the operation related to the failure is filtered out from the user operation. By taking these operations as the values of the system parameters to be tested, test cases that will inevitably cause software failure are obtained. Finally, the validity of the method is verified by an example, and the test cases obtained are specific to the faults of the software.
Research on Fishery Water Quality Monitoring System Based on 6LoWPAN
Authors: Wang Xueying , Feng Yanli , Sun Jiajun , Li Dashe , Yang Huanhai
Published: November 2020

A fishery water quality monitoring system, based on 6LoWPAN, is proposed which can automatically implement various kinds of supervising tasks according to the changing environment. This system is applied to water quality monitoring of fisheries, realizing remote automatic online monitoring of water quality parameters such as temperature, salt content, pH, and dissolved oxygen, which have a significant impact on the aquatic product growth environment. The monitoring centre software performs the received data analysis, processing, storage, graphic display and alarm, providing the best growth environment for aquatic products. Compared with the existing fishery water quality monitoring methods, the system uses the IPv6 over IEEE 802.15.4 standard to construct a wireless sensor network. 6LoWPAN technology is easier to integrate into larger networks and easier to integrate with Internet-based services. This system can effectively improve the level of water quality management, reduce the risk of aquaculture, and achieve sustainable development of the aquaculture industry.
A Summary of Technical Standards Implementation Benefit Evaluation Practice in Typical Countries
Authors: Hu Yuan , Tang Chenghui , Liang Cai
Published: November 2020

This paper has successively analyzed and compared the practice of the United Kingdom, Germany, France, Canada, Japan, ISO and other countries and organizations in the evaluation of standardization economic benefits. The collection channels and ways, and the design of evaluation model methods provide important inspiration for large enterprises to carry out technical standard implementation benefit evaluation.
High-speed Railway Passenger Flow Analysis Method and Platform Design Based on the Concept of One-Day-One-Plan
Authors: Nie Bowen , Nie Lei , Fu Huiling
Published: November 2020

Based on the concept of One-Day-One-Plan, passenger demand should be considered different every day while timetable should also be adjusted according to passenger flow fluctuation. The analysis of passenger flow provides basis of line planning problem and train timetabling problem. This paper uses cluster analysis to integrate the characteristic of passenger flow data, designs and subdivides the service level of each OD. A data analysis platform connecting with Line Planning Section and Train Timetabling Section is developed to achieve the quick response of the real-time passenger flow fluctuation, ensure the supply-demand match and improve service level.
An Integrated Safety and Formal Analysis for Aircraft Landing System Based on SysML
Authors: Yuan Yuan , Jiao Jian , Wei Mengwei
Published: November 2020

The integration and interaction of multiple factors in large-scale system such as aircraft is the main reason of safety problem. For example, the aircraft can be affected by a variety of interactive factors due to changes in pilot conditions, avionics equipment and environmental state during flight. Aiming at the process of carrier aircraft landing, this paper proposes a formal modeling method based on System Modeling Language (SysML) to describe and analyze the safety of system. Firstly, the method based on SysML is detailed to model the structural and behavioural aspects, relying on the analysis of mission and/or behavior process. Then, the integrated method of SysML and Simulink, using the TGG method, is adopted to facilitate the analysis of the behavior processes. Finally, the attitude control during the aircraft landing process is taken as an example to assess the deviation and the dangerous time variation of the system in different disturbance degrees, which will help to make a better safety strategy.
Design of Power Grid Cyber Security Framework Based on Whole Life Cycle Management
Authors: He Jindong , Wu Dan , Zhao Zhichao , Guo Qian
Published: November 2020

The whole process security of power information system is the key to make power grid operation safe and stable. Firstly, the concept and characteristics of whole life cycle management (WLCM) are summarized by this paper systematically. Secondly, the power network security architecture based on full life cycle security management is constructed, which is designed to protect the cyber security of power grid from three aspects: control flow, technical support system and mechanism guarantee system. Thirdly, the cyber security’s management and control flow of power grid, the technical support system of power grid cyber security (PGIS) and the mechanism guarantee system based on life cycle management are proposed. And the control flow, technical support and guarantee mechanism were designed in detail. Finally, the method proposed in this paper is carried out in a provincial power-grid company. The results show that this method can significantly reduce the power network security risk and improve the power grid network security level, which is of great significance to the operation safety of the power grid and has strong engineering application value.
Sensor Diagnosis System for Sleep
Authors: Chi Xiongfei
Published: November 2020

The cloud-computing-dirven and fog-computing-dirven mode have further inspired the studies of preventive medicine. If the database of physicians’ recorded clinical cognitive diagnosis can be smartly utilized in the Internet of Things( IoT) technologies for AI monitoring of sleep quality and disease risks prediction, then the preliminary diagnostic data provided by such terminal sleeping diagnosis device might be used for prevention of diseases at early-stage and, therefore, to greatly reduce medical cost, to increase accessibility of reliable medical services and to further reduce medical risk. However, the diagnostic big data is almost missing in current e-medical system. Therefore, a wearable smart sensor diagnosis system for sleeping patients is proposed in this article. Within the diagnosis system, smart devices for brain, nose, heart, lung and legs are included. All detected data is uploaded to the user’s mobile APP for preliminary comprehensive diagnosis calculation, which is called fog calculation. The refined data provided by the APP of sleeping sensor system can cover a large proportion of physicians’ cognition of each patients’ real conditions. Refined data, which has been removed redundant data by fog calculation, is uploaded to big data cloud for accurate diagnosis and treatment. The sleeping diagnosis big data, uploaded by sensor system perhaps reflected the values of the well-linked text information produced by a combined database of online and offline medical records.
Design and Implementation of Carrier Detection System Based on FPGA
Authors: Zhang Xian , Qu Taiguo , Liu Yiwen , Yin Dong , Deng Shaowei
Published: November 2020

In order to better monitor and manage the signal transmission in the communication system and base station, and carrier detection is more effective. This paper designs a carrier(Carrier frequency) detection system based on FPGA, including system design requirements, FPGA selection, system framework design, carrier detection method design and so on. The performance indexes of the system are tested, such as carrier frequency range, carrier search time, carrier detection number and CPU consumption rate. The system has the advantages of high flexibility and good portability, and has a good application prospect in communication system, base station and other equipment.
Safety Monitoring System Design of Cold Storage Based on Single Chip Microcomputer
Authors: Chu Zheyu , Tan Chao , Tang Xiuying , Cheng Bin
Published: November 2020

In order to solve the rising labor cost of cold storage management in China, and to improve the safety factor of cold storage, this paper designs a simple cold storage safety monitoring system. It is mainly to reflect the real-time monitoring information in the cold storage to the central background for unified processing, which not only reduces the harmful operations in the cold storage to save labor costs, but also improves the safety factor in the cold storage to reduce property losses. The monitoring system is fully automatic, which greatly reduces the staff’s effort in cold storage management.
Calibration Scheme for Portable Retroreflectometers of Road Traffic Signs
Authors: He Huayang , Su Wenying , Han Xiaokun , Wang Rui
Published: November 2020

Portable retroreflectometers are widely used for engineering measurements and are equipped with a set of work plates that are used to fit fitting curves and switch the working curve in the intrinsic software (self-calibration). The measuring principle employed is the substitution method. Therefore, the accuracy of the work plate values and curve-fitting ability of the internal software are important factors related to the accuracy of the instrument’s measurement results. A calibration scheme for portable retroreflectometers is proposed in this paper. This scheme not only considers calibration in the laboratory, but also on-site measurements. The work plate values can be obtained by a standard retroreflection measurement system, or by a matching portable retroreflectometer. When the work plate values are obtained through the matching instrument, a set of reference plate values must be obtained first. The reference plates, the color and coefficients of retroreflection of which are similar to those of the work plates, were calibrated by the standard retroreflection measurement system using the direct illuminance method. The reference plates were used to adjust the fitting curve in the internal software of the instrument. The work plates were then measured by the matching instrument to obtain a set of work plate values. The reference plates were measured by a self-calibration portable retroreflectometer, and the relative error between the instrument’s results and reference values was calculated.
Effect of Seabed Instability on Pile Soil Pressure
Authors: Zhang Yongli , Zhao Yi , Yuan Zhenxia
Published: November 2020

In a narrow sense, the seabed instability means that the shear failure, liquefaction or scour occurs in the seabed; in a broad sense, the seabed instability means that the soil displacement occurs in the seabed. The seabed instability widely exists in the ocean environment, however, it has not been considered in the current design and calculating methods of the marine pile foundation, consequently, the accuracy and reliability of design results can not be guaranteed, which may induce that the ocean buildings are not safe enough. Therefore, it is necessary to found one new method to calculate the pile soil pressure with the influence of seabed instability, before which, one approximate mathematical model shall be established. Thus, based on Biot consolidation theory and fictitious pile technique, this paper firstly establishes a mathematical model describing pile-soil interaction considering the seabed instability, the soil pressure obtained through which can cover such factors as ocean environment, seabed soil condition and pile condition etc. And then, this paper introduces one mathematical solver (FlexPDE) to get the numerical solutions of the mathematical model presented. Finally, based on the numerical solutions, this paper discusses the effects of pile deflection, wave height, water depth, soil modulus, pile length and diameter on soil pressure, and some conclusions are obtained, which can be referenced in the design of ocean pile foundation.
Preventive Seismic Protection Technologies to Museum Collections: Quanzhou Museum of China Case Study
Authors: Qin Jie , Ma Botao , Song Maomao , Zhang Mansheng , Guan Zhizhong , Zhang Ling , Ge Jiaqi
Published: November 2020

The destruction of museum collections caused by earthquakes in China has attracted many scholars’ attention. Taking the implementation of the project of Quanzhou Museum for example, this paper introduces the application of the preventive seismic protection technologies to museum collections in aspects like the seismic design method, the verification of the performance of the anti-seismic products for showcases and museum collections, the implementation and effects of anti-seismic products. Through the implementation of the seismic protection and monitoring system for museum collections, an effective long-term mechanism for the seismic protection of museum collections in Quanzhou Museum is proposed. Finally, the successful demonstration of the preventive conservation of museum collections in Fujian is summarized.
Design Research of the Household Diagnosis & Treatment Products for Middle-aged and older Diabetic Patients
Authors: Yao Shanliang , Zhang Ying
Published: November 2020

The purpose of this research is to improve the user’s experience and product treatment effect by improving the humanized product design in response to the functional and emotional needs of Household Diagnosis & Treatment Products for middle-aged and older diabetes patients. We were investigated the existing Household Diagnosis & Treatment Products, analyzed the problems. We combined with the physiological and psychological characteristics of the patients, then we observe and researched the diagnosis and treatment process and summarized the needs of patients° At the end, we put forward the improved design method of Household Diagnosis & Treatment Products. The physiological and psychological needs of patients, especially the middle-aged and elderly patients, should be considered its rationality of Household Diagnosis & Treatment Products. It’s order to alleviate the negative emotions in the process of recuperation, improve the user experience of products, and then improve the treatment effect.
Experimental Study on Carbon Fiber Concrete Beams
Authors: Wang Xiaochu , Nie Xiaomei , Xiong Long
Published: November 2020

The influence of the length of carbon fiber on the deflection and strain of carbon fiber concrete beams was studied by testing the flexural capacity of the normal section of four carbon fiber concrete beams. The results show that the length of carbon fiber has a certain influence on the strength of reinforced concrete beams. The failure deflection of fiber concrete beams increases with the increase of the length of carbon fiber. Carbon fiber can improve the brittle failure of concrete beams. No matter how long the carbon fiber is, the cracking load and ultimate load of CFRC beam are not different from that of ordinary concrete beam.
Research on Entity Coreference Resolution Technology Oriented to Military Knowledge Graph
Authors: Hu Ruijuan , Li Zhufeng , Li Jian
Published: November 2020

Data processing in military field is in the stage of fusion disambiguation. The way of addressing the same thing is complex and difficult to integrate. Entity coreference resolution can effectively solve this problem. At the same time, entity coreference resolution is also an important part of knowledge fusion stage in the process of building military knowledge graph. This paper studies and implements Chinese coreference resolution from two aspects: Named Entity Recognition and coreference resolution. Firstly, use the BiLSTM+CRF model of neural network to realize NER in military field. By mining Wikipedia corpus, construct a pattern base, and iteratively find the coreference relationship in text based on pattern, and finally establish a model. To complete the rapid and effective construction of a total of 220,000 thesaurus, covering the military field of aircraft and ships two types of objectives, to achieve the military field entity coreference resolution, to provide strong support for the construction of military knowledge graph.
Design of Infrared Imaging System in Front of Vehicle
Authors: Gong Jianchun , Liu Lei , Zhou Zhen , Wang Yiwen
Published: November 2020

In recent years, due to the driver can not see the road ahead or safety distance is not enough to overtake caused by a variety of traffic accidents are common. In order to reduce the accidents, the design microcontroller, infrared emission and receiving module is implemented to detect whether there is the rear bodywork obstacles (such as people, animals, or other objects), and voice alarm system and LCD display alert the driver in front of the road, the speed and distance, etc., and introduces the design of the system in detail.
The Research on Integrated Production of Large Scale 3D Products Based on Mass Multi-angular Images
Authors: Wen Caihuan , Wang Wendong
Published: November 2020

Aim at the problems of high cost and low efficiency of traditional large scale 3D (three-dimensional) products acquisition methods, this paper provides an integrated production of large scale 3D products based on massive multi-angular Images. Firstly, multi-angular images were obtained according to oblique photogrammetric technique. After the operation of aerial triangulation and 3D construction, the real 3D model is achieved. On these base, integrated production of large 3D products were done. Through the statistical analysis of 3D products accuracy, its precision completely meets the requirements of large-scale data specification, which provides a technical guarantee for rapid and efficient data revision of basic geographic information.
Optimal Design of Deep Residual Network Based on Image Classification of Fashion-MNIST Dataset
Authors: Tang Yusi , Cui Hanguo , Liu Shuyong
Published: November 2020

With the increasing number of layers of deep neural network, the performance of the model tends to be saturated gradually. As a very deep network architecture, the deep residual network shows beneficial characteristics in precision and convergence. This paper deeply studied the essence of deep residual network and intended to design an optimal model for classification in Fashion-MNIST dataset. Due to the significant effects of the hyper-parameters in neural network models, the method of designing model structure and optimizing training process were investigated. Next, the performances of the training models under different conditions were compared, and finally an optimal training model whose accuracy was up to 96.21% was obtained. The experimental result shows that the performance of the model can be improved by partly widening the network and selecting more advanced training process.
Research on Generalized Error Control Mechanism of Monocular Vision Ranging Method
Authors: Xue Lixia , Li Meian , Sun Aixia , Jin Xiaoxin , Zhang Yongan
Published: November 2020

Distance perception is the basis and necessary prerequisite of environment perception, attitude perception and obstacle avoidance of intelligent vehicle and unmanned vehicle. Monocular vision ranging method is one of the mainstream distance sensing methods at present. In order to improve the accuracy of monocular vision ranging, a monocular vision ranging method based on machine learning is proposed. The monocular vision ranging method studied in this paper has the advantages of high accuracy, simple training data, simple ranging formula and can be explained, but the uncontrollable generalization error is one of the disadvantages of this method. Therefore, in order to explore the relationship between generalization error and training error, according to the monocular vision ranging method based on the pinhole imaging principle and a large number of measured data, this paper uses the polynomial method in the curve fitting toolbox of MATLAB to fit the functional relationship between coordinates and image distance, so as to obtain the model parameters. Finally, the threshold value of the optimal model is 0.5%, 49 training data and 21 test data. The extreme value of the ratio of the generalization error to the threshold value of the training error is 1.68, which can be used to control the generalization error of the monocular vision ranging method.
Course Achievement Evaluation Using Concept Map in Traditional Learning
Authors: Huang Peihan , Lin Shaohui , Yuan Junying , Chen Haishan
Published: November 2020

Concept map (CM) has been proved to be pretty efficient in learning assessment. Existing CM-based learning assessment methods tend to compare a CM delivered by a student against a standard version or expert version. This manuscript employs CM as a technique to assess students’ learning performance from the results of a bunch of traditional performance assessments. The experimental results show a more comprehensive result for interpreting students’ learning performance and provide some indications of the gap between teaching and learning for future teaching reforms.