bluuebunny/crossref_metadata_2025 huggingface dataset:
Dynamical Analysis of Fractional-order Permanent Magnet Synchronous Motor Based on Current Time-delayed Feedback
Authors: Lu Senkui , Wang Xingcheng , Li Yanan
Published: March 2020

This paper investigates the nonlinear dynamics of a fractional-order PMSM depends on current time-delayed feedback. Firstly, model parameters of fractional- order PMSM are selected to display bifurcation and chaos in the case of no feedback. Secondly, the stability of equilibrium points and emergence of Hopf bifurcation in the system with feedback gain and time delay are derived. It is found that a smaller fractional-order can enhance the stability of fractional-order PMSM if all parameters are fixed in some cases. In addition, the research indicates that time delay can vary the stability interval, the properties of stability and Hopf bifurcation show chaos vanishes as the time delay reaches a certain value. Finally, numerical simulations are provided to illustrate the theoretical results and demonstrate the complex dynamic behaviors.
Design of Industrial Robot Based on IWOA-PID Control
Authors: Wang Pujie , Lian Jie , Wang Shuwei
Published: March 2020

Aiming at the nonlinear strong coupling system composed of the joints of 6-axis industrial robot, the traditional PID control is difficult to achieve the accuracy and convergence speed requirements of robot trajectory tracking, an intelligent control method based on IWOA-PID (Improved Whale Optimization Algorithm-PID) is proposed. IWOA is an improved intelligent heuristic algorithm based on the Whale Optimization Algorithm (WOA). Using IWOA to dynamically adjust PID control parameters, so as to improve the accuracy and convergence speed of robot trajectory tracking. Using MATLAB toolbox and Simulink to build simulation model. In the simulation experiment and field test, IWOA-PID control is compared with WOA-PID control and traditional PID control. The experimental results show that the trajectory tracking accuracy of each joint is high and the convergence speed is fast based on IWOA-PID control, and it has high engineering practical value.
The stress analysis of corrugated metal hose under bending conditions
Authors: Gan Shichuang , Wang Hehui
Published: March 2020

Corrugated metal hose, as an improved type of pipe, plays an important role in the development of modern industry. With the help of workbench, the numerical analysis of the bellows bending is studied. The bellows deform with the applied load, and the closer it is to the free end, the greater the deformation. By observing the deformation and stress distribution of the bellows, we can find the danger points of the bellows, which has important reference value for the design and maintenance of the bellows.
Sub-surface stress analysis of slewing bearing ball based on plastic deformation
Authors: Deng Biao , Chen Jianwei , Tang Shengjin , Guo Yang
Published: March 2020

Slewing support is widely used in large slewing machinery such as rocket launching platform, wind turbine and port crane. The accurate analysis of the internal stress in the raceway of ball roller is an important basis for studying the cause of bearing fatigue failure and improving the reliability of slewing support. In this paper, the finite element model of thrust angular contact rotary support was established in ANSYS. The stress distribution of the raceway of the ball under different working conditions was calculated by using bilinear isotropic plastic materials and linear elastic materials, and the equivalent stress resulted of the contact surface were compared with the Hertz contact model. This paper studied the factors that affect the distribution of the equivalent stress on the contact surface, calculates the ratio of the equivalent shear stress and the normal stress on the contact surface by finite element method, namely the equivalent friction coefficient, and studied the effect of the equivalent friction coefficient on the distribution of the stress inside the rolling ball. Simulation results show that plasticity occurs in the rolling ball.
Application simulation of the pulsed ultrasonic wave in soft scale removal of the heat exchange tube
Authors: Mei Guangyao , Wang Hehui
Published: March 2020

It is a new descaling technology to use the ultrasonic wave to descale on the heat exchanger. The removal of the soft scale is an essential content of it. ANSYS\DYNA is used to simulate the impact of ultrasonic on descaling in this paper. This paper aims at the simulation of a heat exchange tube by loading different ultrasonic cycles and frequencies. The results of the simulation show that the effect of descaling is the best when the number of cycles in a pulse is 5, and the impact of descaling gets better with the increase of ultrasonic frequency in a specific range.
Study on strength and sealing of a bolted flange joint under complex working conditions
Authors: Li Yuan , Wang Hehui
Published: March 2020

Bolted flange joints are widely used in petrochemical equipment and pipelines, while the problem of its leakage is a serious threat to the environment and safety. In order to study the strength and sealing of the bolted flange connection, a three-dimensional finite element model of the bolted flange joint with a flexible graphite spiral wound gasket is developed by using APDL in ANSYS. Considering the nonlinear compression rebound constitutive relation of gasket material, the indirect coupling method of temperature and structure is used to simulate the whole process of the bolted flange joint from installation to maintenance. The stresses of the flange, bolt and gasket under different operated conditions are investigated in detail. The results show that the stress distribution of the bolted flange joint is not uniform along the circumference due to the tightening sequence of bolts. The stress of each part of the bolted flange joint changes slightly under pressure condition, but the stress distribution is greatly affected by high temperature and creep at high temperature for 1000 hours. And the possibility of leakage of the bolted flange connection is increased with the application of transient cooling and heating up and additional bending moment and torque. After the application of various loads in turn, the bolted flange joint is likely to leak on the tension side.
Trajectory planning for robot-assisted laminectomy decompression based on CT images
Authors: Li Qian , Du Zhijiang , Yu Hongjian
Published: March 2020

Laminectomy decompression is one of the most complex spinal operations, with a high surgical risk and surgeon fatigue. The introduction of robots into surgery is expected to effectively solve these problems, but the complex and time-consuming grinding planning hinders the research and application of robot-assisted laminectomy. This paper proposes a robot grinding path automatic generation method for this operation to simplify the planning process. First, a neural network is designed to obtain the central positions of laminae in a CT image. Around the laminar center, a series of sparse robotic motion control points are obtained and adjusted based on bone surface. Simulation experiments based on some spine CT datasets indicate that the proposed method can effectively generate a reasonable planned path from spine CT images.
Feature engineering based intelligent wireless propagation model for RSRP prediction
Authors: Tao Li , Lu Jianfeng , Wang Xue , Qian Lin
Published: March 2020

Wireless propagation model is of great significance for accurate 5G network deployment. Based on the data set provided by Huawei ModelArts platform, this paper uses the typical method of feature engineering to establish the intelligent wireless propagation model based on back propagation (BP) neural network. The first is feature design, which has designed 12 features from the traditional Cost 231-Hata empirical model and geometric location. Considering the coupling relationship between the features, the angle and distance related features are dimensioned. The second is data processing, using logarithmic transformation, One-Hot coding, missing value processing, etc. Then there is the feature selection, and the final feature set of the model is extracted by the standard deviation, the quantized value of the Pearson coefficient and the feature-reference signal receiving power (RSRP) scatter plot. Finally, the prediction model is built and verified. In order to compare the superiority of the designed features, this paper established and tested three BP neural network models with the same network structure but different inputs to predict the RSRP of different geographical locations. The experimental results verified the superiority of the designed feature set. And a suitable wireless propagation machine learning model was obtained.
Safety analysis on typical scenarios of GTCS based on STAMP and STPA
Authors: Qi Yuwen , Cao Yuan , Sun Yongkui
Published: March 2020

As the rapid development of the urbanization, solutions to solving the traffic congestion have become a hotspot. In this case, the Guided Transportation System (GTS) has been developed, which has the potential to release the traffic jam due to the advantages of short construction period and low cost. Safety analysis on the new transportation tool is essential to keep its operation and passengers safe. Based on the STAMP (Systems-theoretic Accident Modeling and Processes) model and the STPA method (System-theory Process Analysis), this paper constructs a safety analysis framework for the typical operating scenarios of the Guided Transportation Control System (GTCS). Aimed at typical scenarios of vehicle tracking, the corresponding hierarchical control structure models are established. Then, the hazard causes are analyzed. And corresponding safety constraints are put forward to handle the hazard causes, which can provide supports for improving the system design of the GTCS.
Analysis of Screening Process of Enclosed Vibrating Screen and Elastic Cantilever Sieve Composite Structure
Authors: Luo Dezhao
Published: March 2020

Based on the enclosed vibrating screen and elastic cantilever screen as the research object, through the enclosed vibrating screen and elastic cantilever vibrating screen structure characteristics and screening process of research, for railway maintenance with a large black screen machine adopts enclosed vibrating screen and elastic cantilever screen composite structure was analysed, and the principle of screening of the cantilever screen in composite mechanism is discussed. This structure has solved the operation in the special environment, such as the slurry of the rail bed, and improved the maintenance efficiency of the railway. Meanwhile, it can be popularized and applied to other industries.
The transition of herba fluid flow patten in a circular tube
Authors: Hou Zhuoshi
Published: March 2020

The stability parameter Y is used to study the flow state of Herba fluid in a circular tube, and the criterion to determine its flow state is obtained. The transition of herba fluid flow in a circular tube is studied by using the stability parameter Y. The criterion of flow state transition is obtained by calculation.According to the theoretical analysis and experimental data, the calculation results show that the stability parameter Y has better adaptability and accuracy.
Development of leakage test system of cartridge valve based on NI vision
Authors: Yang Jiachen , Jin Xiajie
Published: March 2020

In order to realize the leakage test of cartridge valve, an automatic test system based on machine vision is designed, and the working principle of the system is described. Through the analysis and processing of the leakage image obtained by industrial camera, the leakage flow of the valve are obtained to determine whether they meet the national standards. Finally, the feasibility of the test system is verified by theoretical analysis and experiment.
Nonlinear Rolling Motion of Damaged Warship Based on Cell Mapping Method
Authors: Liu Hui , Li Zhi-hui , Wu Xiang-jun , Pu Jin-yun
Published: March 2020

Based on analyzing energy coupling between flooded ship and the water of flooded compartment in nonlinear rolling motion, the paper construct the two freedom rolling motion differential equation using the LAGRANGE equation, and acquire a single-freedom ordinary derivation equation through decoupling the coupled equations. Improving the arithmetic of cell mapping to study rolling cycle, multi-cycle and chaos response domain of the type II and type III flooded ship under excitation of various waves. The results show that the nonlinear rolling motion may be single-frequency or multi-frequency, and may be periodic or chaos with different system parameter and exterior excitation.
Development of the database for intelligent ship management system
Authors: Li Guiqin , Li Yang , Lan Jian , Zhu Qiuyu , Lu Hao , Mitrouchev Peter
Published: March 2020

In order to provide a data management solution with higher performance, more flexible expansion and more convenient management, the overall scheme of intelligent ship database cluster is studied by the structure of MySQL database management system and MYCAT distributed database middleware. According to the specific requirements of a shipyard for data collection and use, this paper proposes the alarm point information base and alarm point coding mode from the perspective of practicability and convenient maintenance. Shipyard usage feedback indicates that the database is implemented for ship-wide data sharing.
Research on Graduate Education Quality Evaluation Based on Combination Empowerment and Comprehensive Fuzzy Model
Authors: Zhang Zeng , Wang Mei
Published: March 2020

Graduate education quality evaluation is an important part of higher education evaluation. This paper designs an evaluation system that can fully reflect the quality of graduate education, and then combination weighting method and comprehensive fuzzy model were used to verify it. Combining subjective analytic hierarchy process with objective entropy, 10 indexes are weighted and a reasonable weight coefficient vector is obtained. Taking Tianjin University as an example, the comprehensive ranking of postgraduate education quality in 20 colleges of Tianjin University is calculated by using the comprehensive fuzzy evaluation model. The study found that the matriculate quality, scientific research environment, graduate research level and employment ability are the main factors affecting the evaluation of graduate education quality whose contribution rate is as high as 85% and the quality of postgraduate education in science and engineering colleges is significantly higher than that in humanities colleges.
Intelligent Heating Business Model Based on PPP Mode
Authors: Bao Xin , Han Ying , Shen Jun
Published: March 2020

Jinping Xi mentioned in China nineteenth National Congress of the Communist Party that we should adhere to the principle of “continuous improvement in the management and application of Internet construction", establish an innovative “comprehensive network management system", promote the “new type of city moving towards the interconnection of all things" and enhance the ability of the government and enterprises to use Internet technology and information technology to carry out work and production and operation on the existing basis. The development of the Internet era has subtly changed the business models of all walks of life. All walks of life have also ushered in spring with the support of the Internet. As a livelihood industry that concerns tens of thousands of people, should heating innovate the traditional PPP model? This is a question worthy of our consideration. If we want to make users the center in the big environment, we should take up data as a powerful tool, use technology as an innovation opportunity, and innovate new business models on the original PPP model. This paper binds the interests of heating enterprises, users and the government, and seeks a business model that can better meet the interests of the three parties on the basis of the original PPP model.
Asynchronous resonance in the driven Ising model on adaptive networks
Authors: Zhu Xiaolong , Mao Zhipeng , Zhang Haitian , Liu Wanneng , Ni Hang , Zheng Guang , Zhan Zhiming
Published: March 2020

The stochastic resonance was investigated by the field-driven Ising model on adaptive networks. As the structure evolution probability η increases, it is found that the resonance undergoes three states: normal resonance, transition state and abnormal resonance. This work reveals significant effects of the coevolution of the topology and the dynamical processes, which even leads to counterintuitive phenomenon. When the coevolution of the topological structure and states of the system is not strong (corresponding to small η) a weak external field will lead to a positive feedback. However, if the coevolution is strong enough (corresponding to large η) the external field will cause a negative feedback.
Research on the Realization of Risk Sharing of Changing Market Demands in PPP Projects of Sewage Treatment
Authors: Ling Meixian , Du Yaling
Published: March 2020

Through literature analysis, the minimum demand guarantee is identified as the main way to realize the risk sharing of market demand changes in PPP projects of sewage treatment including two price structures, namely the total cost and the two-part charging structure. Firstly, three representative cases are selected from the project database; Secondly, the composition of the service fee settlement price of the three water quantity intervals is comparatively analyzed, that is, the actual treated water quantity is less than or equal to the basic water quantity, between the basic water quantity and the designed water quantity, and is larger than the designed water quantity. Finally, on this basis, three management implications are proposed for the PPP-related practice departments.
Analysis on the Ethnic Food Economy Consumption of Cities along the Belt and Road initiative in China
Authors: Zhang Jiuding , Tian Robert , Nawaz Ahsan
Published: March 2020

This paper explores the reasons why consumers patronize ethnic food services, analyzes the characteristics of ethnic food consumption behaviors, summarizes the current status and existing problems of “the Belt and Road” ethnic food industry, and puts forward some constructive suggestions to help ethnic food service providers to better satisfy the customers’ needs, encourage consumers to re-patronize, and recommend ethnic food services to everyone to achieve the best-selling brand value.
Railway Passenger and Freight Transportation Operation Risk Identification and Evaluation Technology
Authors: Xia Tian , Zhu Xiaoning , Wang Li , Ye Yuchen , Liu Wenqian
Published: March 2020

With the continuous increase of railway operating mileage and the increasing complexity of railway operation system, this paper proposes a real-time security state identification method based on equipment detection and a risk factor identification method based on security inspection, and under the framework of risk factor classification and identification. The paper proposes to use the existing data information to determine the risk value of the risk factor and determine the risk criteria and the relevant methods of the early warning level judgment standard, and then determine the risk warning level, and provide theoretical support for the security early warning analysis and pre-control decision implementation.
Research on the Joint Decision Model of High-speed Railway Dynamic pricing and Ticket allocation
Authors: Zhu Guangsheng , Zhao Yu
Published: March 2020

In response to the problems such as failure to improve revenue with current static and fixed prices of the same OD in high-speed railways, according to the theory of revenue management, based on the passenger flow given by the railway, on the basis of basic ticket allocation model, the high-speed train ticket pre-sale period is divided into several pre-sale phases, with the revenue of high-speed railway maximization as the goal, building the joint decision model of high-speed railway dynamic pricing and ticket allocation. The model is verified by an example, and the results of the model proposed in this paper are compared with those of the basic ticket allocation model. The results show that the model proposed in this paper can not only improve the revenue and seat occupancy rate, but also provide passengers with highspeed railway passenger transport products at different prices.
The Application and Problems of Big Data Analysis in Accounting Work
Authors: Jia Ziqi
Published: March 2020

Since the computer has been used in accounting work and with the current economic development, the enterprise accounting system has formed a large amount of data in the accumulation. The application of big data technology in enterprises is mainly in the R&D department, and the application rate of the finance department is not very high. In recent years, the development of big data technology and cloud computing technology has become increasingly mature, and the function of financial accounting has also gradually shifted to manage accounting. Previously under the traditional accounting method, the data that is not fully utilized by the technology can be fully explored today by relying on big data analysis. This article expounds the application of big data analysis method in modern business accounting data, and compares a series of advantages of big data analysis method with traditional analysis method. Finally, it is mentioned that in the era of highly developed Internet, there may be problems in applying big data analysis.
Surface Natural Spectrum BRDF Modeling of Commonly Used Materials on Space Targets
Authors: Liu Yuying , Dai Jingjing , Zheng Yongchao , Zhao Sisi , Shang Weidong , Zhang Jinghao , Li Tong , Wang Zhiyong
Published: March 2020

This paper measures and analyzes bidirectional reflectance distribution function (BRDF) on material surface of space target under natural light within spectrum range of 400nm-900nm. Through optimization of five-parameter model, the paper carries out modeling and optimal fitting in combination with genetic algorithm and the least square method. Results show the combination of genetic algorithm and the least square method could improve fitting precision of computing results and experimental measurement results, save time, and prove the effectiveness and practical performance of the method.
Research on owner functional structuring of EPC Project Based on QFD
Authors: Cheng Lu , Yin Yilin , Cai Junfeng
Published: March 2020

Due to the advancement of the bidding time in the EPC mode, especially for the project owners who have tendered after the feasibility study or the design of the project can only propose the functional requirements of the project and cannot form a detailed bill of quantities, which is not conducive to the owners. The investment control has led to an increase in information asymmetry between the owner and the general contractor. To this end, this paper borrows the concept of “customer demand” in total quality management and the “QFD quality function development method” to identify the functional requirements of the owner and realize the transformation from the owner’s functional requirements to the function list to the engineering quantity list. The owner can convert the qualitative functional requirements into a list of functions corresponding to the bill of quantities in the bidding stage, thereby solving the information asymmetry between the owner and the general contractor.
Using Artificial Intelligence to Improve Camera’s Recognition Function on Mobile Phone
Authors: Wang Zefeng
Published: March 2020

There is a rising trend in the numbers of Artificial Intelligence (AI) applications in different fields include interaction design and mobile phone. In addition, mobile devices have been tools that people interact with every day. Thus, applying the combination of AI and interaction design to camera’s recognition of mobile devices is the central concern of this research. This report includes the discussion around two aspects towards mobile phones which are holography and augmented reality (AR). Within these two aspects, machine-learning-based technologies such as image recognition and face recognition have been applied to improve the user experience and interactions. In order to build a new bridge for the interactions between people and mobile phones, the proposal of this research is to design an AR-based 3D hologram system on mobile phones. This proposal will also include technologies of computer vision and eye tracking. Importantly, this combination will allow users to create their own new ways to connect virtual objects in the real world through mobile phones. To design this product, some methods such as concept mapping, case studies and prototyping will be used in the process. Moreover, this product may change the way between human and machine and take the interaction to a new degree.
Study on the Sharing of Geological Condition Risks in PPP Projects of underground pipe gallery
Authors: Liu Ling , Du Yaling
Published: March 2020

Because of the particularity of geological risk, the risk-sharing problem of PPP projects in underground pipe gallery is crucial for the distribution of interests between the two parties. Through literature analysis, the risk of geological conditions is defined and classified. Based on the three principles of risk-sharing proposed by Xinping Liu and Shouqing Wang, which are highly recognized by academic community, this thesis discusses the sharing schemes of different types of geological conditions risks between public and private parties.
Research on management information system of capital construction project in large hospital
Authors: Li Chong
Published: March 2020

Hospital infrastructure project management information system is a project management information system, which is based on scientific management system and covers all departments of the hospital, including supervision, design, civil engineering, equipment and other construction units.This paper focuses on the subject of the bidding management of the information management system of the hospital infrastructure construction and the high-performance management system of the hospital infrastructure construction, aiming at the problems of large business volume, complex management process, difficult bidding management, and information can not be shared in time.
Internet influence to marketing activities and digital media
Authors: Fang Jingxuan , Xiong Wei
Published: March 2020

With internet development, traditional marketing tools are influenced very much. Digital media is growing fast with computer technology and network rapid development. Traditional marketing activities and tools are analysed and compared with modern marketing means in the paper. Based on the relevant analysis, more suitable and efficient marketing activities should be used very well in the market.
Study Technological Innovation based on Cultural Dimension
Authors: Tian Guang , Liu Mang , Jiang Lifang
Published: March 2020

Taking the technological innovative ability of Chinese multinational enterprises as the research subject, discusses the cultural dimensions of power distance, uncertainty avoidance, masculinity, long-term orientation, collectivism, time concept, hierarchy and the influence of cultural distance on technological innovative ability. The results show that power distance, long-term orientation, collectivism and masculinity positively affect the technological innovation of Chinese transnational enterprises and cultural distance negatively affects technological innovation of Chinese transnational enterprises and has a greater impact.
Analysis on the Changes of TFP in Manufacturing Industry among Different Regions
Authors: Wang Gang , Zhang Wenchang , Lu Xing
Published: March 2020

Based on China Industry Business Performance Data from 1998-2013, this paper calculates and decomposes the TFP of China’s manufacturing industry, and then analyzes the changes of TFP from a regional perspective. It finds that the average TFP levels of the eastern, northeast, central and western regions decrease successively, and the top ten provinces in the TFP average level come from the eastern regions.
The Exploring on the Supervision of University Public Opinion in the Background of Big Data
Authors: Lv Zuheng , Wang Jinsong , Shi Heyuzi
Published: March 2020

College public opinion are a reflection of the ideological status of college students and the degree of campus stability. The high frequency and suddenness of public opinion events and the speed and virtuality of the information age have brought new opportunities and challenges to public opinion supervision and public opinion intervention. In the new era, the supervision of network public opinion in colleges and universities should conform to the characteristics of the era of big data, use advanced information technology to improve the efficiency of supervision, and strive to achieve the goal of scientific decision-making management. Based on the major colleges and universities, this paper aims to explore the improvement program of college public opinion supervision under the background of big data. It uses literature review method, research method and experimental method to analyse. This paper analyzed the current situation of network public opinion supervision in colleges, summed up the problems existing in the network of colleges, and constructed a network public opinion supervision platform for colleges under the background of big data.
Techno-economic Analysis on AC/DC Power Distribution Network based on Flexible Substation
Authors: Lv Ke , Lu Yan , Yang Meng , Li Mingyu , Cheng Chen
Published: March 2020

With development of technologies and the society, the shortages of traditional AC power distribution technology show up gradually, and more power devices start adopting DC power transmission technology. During that process, the flexible substations emerge correspondingly. This paper, taking the example of Zhangbei flexible substation and AC/DC power distribution network demonstration project, collects various economic data of the project since its commissioning, evaluates its techno-economic performance, analyzes its economic benefits and social benefits and makes expectations about the future.
Research on Asset Management in Construction Phase of PPP Project——Based on Tracking Auditing Perspective
Authors: Fan Yingying , Yin Yilin
Published: March 2020

In the actual operation process of PPP(Public-Private Partnership) projects, due to inaccurate estimation, lack of accuracy of submitted data and asymmetric information of all parties involved, problems such as asset falsification often occur when assets are formed. In order to solve this problem, we have properly integrated the concept of asset life-cycle management (ALM) into the whole life cycle of PPP projects, and established an ALM-PPP model to analyze the asset management of PPP projects. We select the construction phase of PPP project as the research scope, and take tracking audit as the core to audit the actual value of PPP project, so as to improve the management efficiency of PPP project and ensure the public interest.
Recent advances in protein drug delivery
Authors: Wang Qingzhuo
Published: March 2020

Proteins and peptides drugs have been researched for decades and they show therapeutic and medicative function in numerous aspects. However, how to manipulate proteins efficiently to the specific region of the body or even cellular penetrate are the challenges we face. This overview introduces some potential methods of delivering proteins as well as how they act more accurate and controlled in vivo. Simply classify them to five sections which seem different from each other, whereas have possible connections.
An analysis of credit risk of middle and small-sized enterprises in the inclusive financial system: an example from China
Authors: Wu Binghui , Yang Jing , Duan Tingting , Miao Wenlong
Published: March 2020

Inclusive finance is a development direction of current finance reform for the nations of the world. Based on the theory of inclusive finance, this paper analyses the credit risk of middle and small-sized enterprises in China through KMV model. In empirical analysis, we choose the sample data coming from ST company, *ST company and non-ST company in the growth enterprise market of China. After calculating the default risk and the default probability of enterprises, the results show that, in general, the enterprises in unnormal operation have higher default risks relative to the enterprise in normal operation. According to sample data, individual enterprises in unnormal operation also have lower default risks. In the inclusive financial system, governments should pay more attentions to the development of middle and small-sized enterprises, and establish some proper measures to provide financial services for middle and small-sized enterprises, especially for enterprises in unnormal operation.
Discussion and Study of Technical Route of Smart Power Plant of Thermal Power
Authors: Wang Zepu , Li Ming , Liu Shuai , Yang Hao
Published: March 2020

Digital smart power plant is an important development direction of thermal power technology. Smart thermal power plant technical route and development direction is presented considering characteristics of production and management of thermal power enterprises. The smart thermal power plant’s system framework is discussed. The key technical field of smart thermal power plant is studied. An open-ended smart thermal power plant technical system including 5 technical platforms of smart data, smart safety, smart producing, smart operation, smart integrated management, is summarized. Meanwhile, the development status of key technologies of diverse systems and functions is discussed, the future development direction of key technologies is presented constructively, and three principled suggestions on the construction of smart power plant are presented finally.
Research on Development Path of “Three Types & Two Networks” of Grid Corporation Based on Normal Hypothesis
Authors: Wang Shiyue , Xing Yu
Published: March 2020

Under the analysis of the development concept of “Three Types & Two Networks", this paper puts forward the development indicators of current power grid companies, predicts the future development direction, and initially studies the development path of “three types and two networks" in power grid companies. In this paper, the normal curve method is used to optimize the index weight and transition probability, and then the Markov model is used to predict the index, and the development path of “three-type two networks" is proposed.
Fault diagnosis of rolling bearing based on empirical wavelet transform and fuzzy function
Authors: Liu Tingting , Sang Yuan
Published: March 2020

The vibration signal of rolling bearing in mechanical equipment is nonlinear and nonstationary under the influence of various excitation sources. This paper combines empirical wavelet transform (EWT) with the fuzzy function and gives a method of fault signal recognition. Several modal components of the original signal can be obtained by decomposition. Components with more features of the original signal can represent some features of the original signal. The mutual information between each modal component and the original signal can be calculated. The noise and useful information can be identified according to the value of the mutual information, and then the noise of the signal can be filtered out to reconstruct the original signal The fuzzy functions of the known class signals and the signals to be identified are calculated, and the correlation coefficients of the fuzzy functions of the signals to be identified and the signals to be identified are calculated.
A statistical method for pitch measurement and evaluation
Authors: Cai Xiaoyu , Wu Junjie , Li Yuan , Zhang Xuedian , Lei Lihua , Wei Jiasi
Published: March 2020

Nano grating is one of the common standards in micro-nano scale dimensional measurement and calibration. Errors terming from the measurement system, measurement procedure, data process and the object (specimen) affect the grating evaluation result. Either more precise measurement systems or optimization in methodology is underdeveloped to realize more accurate measurement. In this study, a measuring procedure, using scanning probe microscopy to measure 1D grating, is put forward firstly, mainly to reduce cosine error. Then a measuring statistical model is established based on the statistical characteristics of measurement system, terming from both the machine and the standard. By measuring the grating area for enough times, the mathematical equations are fitted and the statistical characteristic variables, i.e. the mathematical expectation and variance of both the measurement machine error and the grating are to be solved. Practically, the grating is measured in roughly the same area for several times using a nano measurement machine, with unknown error. The grating pitch as well as the errors of the machine stage were evaluated.
Cold Chain Logistics Distribution Routing Optimization Based on Realistic Delivery Time and Ant Colony
Authors: Xiang Caihong , Hu Lishuan , Qi Chengming
Published: March 2020

In recent years, cold chain logistics, especially for agricultural products has been greatly developed. It aims to keep agricultural product fresh before arrive to the designated locations. In this paper, the definition and current situation of cold chain logistics are introduced first. Then a novel approach for path distribution of cold chain is proposed according to time-consumption. After that, we introduce the Ant Colony Optimization (ACO) method and the way to get realistic deliver time. At last, we put forward a method for distribution path optimization based on delivery time and ACO. Experiments show that the proposed method can achieve the optimal solution effectively.
INS/CNS Integrated Calibration based on Speed Reference Information
Authors: Zhou Jinliang , Zhao Wangyang , Zhou Lingfeng , Liu Juzhong , Zhao Fenghao
Published: March 2020

CNS needs INS to provide horizon attitude information as the horizon reference. The non-damping INS on critical conditions is easy to cause error fluctuation and divergence when the accelerometer zero is changed, directly affecting horizon reference information precision of assistant CNS. Therefore, under on-board use conditions, the INS short-term high-precision characteristics are used in CNS/INS/LOG integrated system to design Kalman filter with horizontal speed damping and compensate dynamic error of INS. The calibration and readjustment technology of on-board CNS/INS integrated system is based on horizontal speed damping. The accurate reference information of CNS is used to finish correction of position error, misalignment angle and main gyro drift error. In this way, the readjustment period will be extended to realize long-time and high-precision navigation of the integrated system.
Customer churn prediction in telecom using big data analytics
Authors: Li Weilong , Zhou Chujin
Published: March 2020

Customer churn will cause huge losses to the communication company and has become a real problem. The article uses big data analysis technology to analyse user characteristics of churn customer historical information data, establish a churn prediction model, find users with a higher risk of churn in advance, develop targeted strategies, and carry out a series of retention activities to retrieve them. The paper presents a strategy of user segmentation and piecewise regression to find the highly relevant fields and divide the customers into different groups based on these fields, and then use regression analysis to establish the prediction models for different groups. Online test shows that the model can effectively identify most of the lost customers, effectively reduce the user off-network rate, and improve efficiency and effectiveness than traditional methods.
Improvement of Bird Prevention Strategy Based on Big Data Mining
Authors: Li Mengzhu , Song Bin
Published: March 2020

This paper takes the bird damage situation of transmission lines in Y city of Henan province over the years as the research object, and adopts the method of data mining to conduct big data analysis of transmission line towers in Y city, so as to carry out targeted precise prevention and control of bird damage. Through the calculation of the correlation coefficient, we can find that the related factors of bird damage are: the arrangement of the tower insulator, the distance between the tower and the river, the height of the tower. In this paper, the characteristics of month, time, region and river basin of bird pest in Y City are analysed, and some laws beneficial to actual production are found. Combining the characteristics of various anti-bird devices at the current stage, it puts forward two new bird proof measures of 35kV “up" type pole tower innovatively, which has been proved to be effective in practice. Y City’s new idea of precise prevention and control of bird damage, has reference and reference significance for the prevention and control of bird damage in power grid.
Design of remote overload monitoring and diagnosis system for electric spindle based on three-axis MEMS device
Authors: Cui Hengrong , Wang Yuwei , Liu Tao , Xu Shaohua
Published: March 2020

The MEMS sensor is used to measure the overload signal of the electric spindle, so as to get response of overload status and send alarm signal to PLC timely, which is a kind of machine controlling tool. By this system, the collision of the electric axes can be avoided effectively. The vibration data of spindle is also can be transmitted real-timely via internet, which is supposed to be combined with data mining and machine learning for daily monitor of spindles and intelligent faults diagnose.
Computer Aided Drawing System Development of Corrugated Box with Auto CAD
Authors: Mao Wenwu , Wang Jiahui , Tantai Sunxiao , Cao Qiang , Zhang Zewen , Zhang Xinggao
Published: March 2020

Corrugated box is one of the most widely used packaging products. Currently drawing and modelling corrugated box in AutoCAD system is complicated, it needs to consult the national standard size and draw step-by-step. Based on the establishment of Access database, we use Visual Basic to develop corrugated box drawing system on the AutoCAD platform. The corrugated box drawing system development has the characteristics of parameter standard and using easily. Users only need to select the box type in the main interface of the software and input the important parameters, the two-dimensional expansion diagram and three-dimensional model can be quickly obtained, which greatly improves the efficiency of corrugated box drawing, reduces labour and production cost.
An Electric Vehicle Charging Station Service Strategy Based on Logistic Model
Authors: Bao Tong , Yang Hongwei , Zhao Jianping , Wang Long , Wang Guilei
Published: March 2020

In order to improve the charging service quality of electric vehicle charging station(EVCS) and the charging efficiency of electric vehicles(EVs), this paper proposed M/M/k/N queuing theory model for limited capacity charging station, improved the arrival rate of EVs to be charged with the logistic model, and then introduced a synchronization-mutual exclusion mechanism in the two processes of queuing waiting and charging service after EVs entering a station, thereby avoiding resource conflicts, ensuring the charging service process to be a certain order. Finally, through the experimental simulation, we compared the M/M/k/N model proposed in this paper with the traditional M/G/k model, which proved our modified model can effectively reduce the average waiting time and the charging service time. In addition, it is verified the existence of the logistic growth model and the significance of the synchronization-mutual exclusion mechanism.
Neural Metric Matrix Factorization
Authors: Zheng Boran , Mao Mingzhi
Published: March 2020

Nowadays, matrix factorization(MF) has been widely adopted in industry and research as a classical collaborative filtering (CF) algorithm. Unfortunately, the dot product adopted by matrix factorization is against the triangle inequality, which is one of the main reasons why this model is opposed. To address the issue, we propose a recommendation algorithm combining metric learning and mf in the paper. It transforms users’ preferences into distances, using Euclidean distance which satisfies triangular inequalities instead of traditional dot products, then directly decomposes the distance matrix into latent factor matrices of users and items. A multi-layer feedforward neural network is adopted for learning the model. Extensive experiments on two real-world datasets show that the proposed model is obviously superior to some advanced models based on matrix factorization.
Spatiotemporal evolution of water use efficiency in water conservation areas in the upper reaches of the Yellow River: A case study of the Lanzhou-Xining urban agglomeration
Authors: Li Pei , Shi Peiji
Published: March 2020

The ecological protection and high quality development of the Yellow River Basin has become a major national strategy in China. Studying the water use efficiency of important water source conservation areas in the upper reaches of the Yellow River is for promoting the allocation of water resources and regional green development. This paper takes 39 county units as the research object, based on the DEA (SE-SBM) model. Introducing the Human Green Development Index (HGDI) was applied to measure its water use efficiency and analyze its spatial pattern.
Research on Mosaic Strategy and Application of GF-1 WFV Data
Authors: Liu Guo , Wang Yizhe , Ma Cuifeng , Zhang Xueli , Ma Na
Published: March 2020

With its advantages of high resolution and large field of view, GF-1 WFV data is able to provide high precision, wide range of spatial observation data and image mapping products. Image Mosaic is an indispensable part of remote sensing image mapping. This paper summarizes the main strategy flow of GF-1 WFV data Mosaic. Some key processing techniques were discussed including true color enhancement, seam line extraction, color normalization. Analyzed of some typical study area, the image was mosaic tested by the method of gray-scale transformation enhancement, minimum gray difference determination algorithm and overlapping image dodging. Relevant strategies and methods are applied to the production of “satellite remote sensing image of Guangdong-Hong Kong-Macao Greater Bay Area nature reserve" and “satellite remote sensing image of Wanjiang economic belt". The texture color of the result image can present the characteristics of natural transition, without obvious color difference, with rich feature information, clear layers and good visibility. It is helpful to systematically and intuitively understand the current situation of regional urban construction and natural resources, and is able to provide high-quality image data for comprehensive geological survey and scientific research. Actual works has proved that the GF-1 WFV data mosaic strategy and method summarized in this paper have achieved good results in practical applications. It can provide reference for other similar satellite image mosaic work and has strong practical guiding significance.
Green packaging use willingness factor scale development
Authors: Bao Xin
Published: March 2020

Through reviewing and summarizing the related research on the influencing factors of green packaging practice, it is proposed that the influencing factors can be divided into four dimensions: functional value, aesthetic value, affective value and social value, and developed the influence of green packaging use willingness factor measurement scale, through its investigation and analysis, used SPSS and Amos to test the reliability and fitting model of the scale. The results show that the proposed measurement model of the influence factors of green packaging use has good reliability and validity.