bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on owner functional structuring of EPC Project Based on QFD
Authors: Cheng Lu , Yin Yilin , Cai Junfeng 
Published: March 2020

Abstract
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

Abstract
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

Abstract
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

Abstract
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.
Study Technological Innovation based on Cultural Dimension
Authors: Tian Guang , Liu Mang , Jiang Lifang 
Published: March 2020

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.