bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Investigation in Phase Transition of MoTe2 Film with Continuous Tellurization Reaction
Authors: Sun Leijie , Ding Manman , Li Jie , Yang Li , Lou Xun , Xie Zijian , Zhang Wenfeng , Chang Haixin 
Published: December 2019

Abstract
Molybdenum ditelluride (MoTe2), as a member of two dimentional transition metal dichalcogenides (2D TMDCs), has been drawing scientists’ attention due to its susceptible phase transition. Here, we studied the phase transition process of MoTe2 with tellurization reaction step by step. In the process of tellurization reaction, the 1T’ MoTe2 would firstly convert to an intermediate phase (1T’@ 2H MoTe2) and then slowly convert to 2H MoTe2 instead of forming a direct phase transition from 1T’ MoTe2 to 2H MoTe2. This result might inspire the phase engineering of other 2D TMDCs and the exploration of potential device design.
Life Prediction of Lubricating Oil Based on GM Model
Authors: Sun Yuanyuan , Wang Yuexing 
Published: December 2019

Abstract
According to the method of testing the life of lubricating oil in the bench test of lubricating oil plunger pump, this paper puts forward the prediction method of lubricating oil life based on the combination prediction model of grey theory and GM model. The method carries out data processing on the original data through gray accumulation generating operation to enhance the regularity of the data; GM is used for prediction, and grey cumulative reduction is used to generate operation reduction data to obtain prediction results. The acid value change data of lubricating oil is selected as the life characteristic information of lubricating oil. The model is used to predict the life of lubricating oil, which solves the problems of less data information and uncertain prediction in one oil change cycle. The model is proved to have high prediction accuracy by posterior difference test.
Multi-index Cost-benefit Model to Assess Land Development Costs
Authors: He Peicong 
Published: December 2019

Abstract
In land development and utilization projects, managers rarely consider the loss of ecosystem service value, often resulting in waste of resources. Based on the land development and utilization project, this paper proposes a multi-indicator cost-benefit comprehensive analysis model (MCCAM). MCCAM divides the four aspects of the indicator system by dichotomy, including determining resource loss costs through MESV, calculating environmental degradation costs using delay factors, considering project planning factors and market fluctuations, and correcting economic benefits and costs. On the other hand, MCCAM quantifies the value of the ecosystem service value model and combines the non-equalized cobweb model with time-delay effects to modify the model parameters. According to the sensitivity analysis of the model, this model provides effective suggestions for the planning and management personnel of the land development and utilization project.
Industrial Application of Non-thermal Plasma (NTP) for Mercury and Dioxin Removal in Flue Gas
Authors: Li Zhen , Chen Yang , Feng Qinzhong , Wei Shihao , Liu Liyuan , Wang Junfeng , Li Yue , Jiang Xiaoming 
Published: December 2019

Abstract
At present, there is an urgent demand for mercury and dioxin pollution control technology, internationally. It is necessary to find a solution other than the activated carbon adsorption process. In recent years, our self-developed low temperature plasma coupling system has been applied for mercury and dioxin removal in the flue gas, the system is composed of corona discharge plasma reactor and ceramic nano-material adsorption tank. The parameters of the plasma are 35-40kV, 400-450A, 1000Hz. The saturated adsorption capacity of ceramic nano-materials for Hg2+ is more than 5156μ g(Hg2+)/g. Pilot plant testes have been conducted in several industries, including collaborative disposal of cement kiln, medical waste incineration, recovery of waste mercury catalyst, recycling of waste fluorescent tubes, and achieved ideal result (Hg removal efficiency > 95%). It is expected to be an economical and efficient technology for mercury and dioxin removal, with great promotion value and social significance.
Research on characteristics and benefits of multi-energy complementary integration optimization of Qinghai clean energy base under new electricity reform
Authors: Wang Xiaoxuan , Zeng Ming , Xu Jin , Gan Jiatian 
Published: December 2019

Abstract
By carrying out research work on Qinghai clean energy multi-energy complementary integration optimization, this paper demonstrates the multi-energy complementary optimal power supply ratio and operation scheme. It maximizes the ability of clean energy consumption and delivery, and contributes to the development of green energy in Qinghai. It plays a leading and innovation-driven role in the research and development of new energy research and development in the country.
NiCl2 Cathode with the High Load Capacity for High Specific Power Thermal Battery
Authors: Lin Xiaoxia , Fu Licai , Zhu Jiajun , Yang Wulin , Li Deyi , Zhou Lingping 
Published: December 2019

Abstract
The advanced thermal batteries with CoS2 cathode are applied to provide high energy, delivering lower specific power, because it is not suitable for high current discharge. NiCl2, possessing a high potential and large current discharge capacity, is considered as one of the cathode candidates for high power thermal battery. LiB/NiCl2 couple outputs effectively specific power of ∼17.3kWkg−1 in this work at 500°C and 0.5Acm−2 (8Ag−1). However, NiCl2 has highly dissolution in LiF-LiCl-LiBr electrolyte (widely used in thermal batteries), resulting in the capacity loss and severe safety problem. Here, cross-sections between NiCl2 cathode and LiF-LiCl-LiBr electrolyte have been characterised by SEM after discharge at 500°C, and 0.5Acm−2-discharged interface exhibits blurrier boundary than that of 0.2Acm−2-discharged.
Indoor Fingerprint Localization Algorithm Based on Variable Weight Using Channel State Information
Authors: Sun Shasha , Wang Peng 
Published: December 2019

Abstract
In order to solve the problems of indoor fingerprint localization algorithm based on static weight, such as low positioning accuracy and poor environmental adaptability, a variable weight indoor based on channel state information with Euclidean distance as weight reference is proposed. In the preprocessing stage, the collected CSI amplitude values are first subjected to Butterworth low-pass filtering denoising processing, and then the values of each sampling point are averaged, and the reference point location fingerprint database is established by combining the known coordinates. The weight index α is introduced in the online positioning stage, and the nearest neighbor is found by the KNN algorithm with the CSI eigenvalue reference. Then the weight index β is introduced, and the Euclidean distance is used as the weight reference, and the nearest neighbor is weighted. Get the coordinates of the target position. The experimental results show that the indoor fingerprint localization algorithm proposed by this scheme has higher positioning accuracy and less fluctuation of positioning error than the traditional KNN-based indoor fingerprint localization algorithm.
Application of energy storage technology used in photovoltaic power generation system
Authors: Bui Wenping , Ding Zhilin , Cai Xing , Xu Renbo , Li Shaoyi , Feng Shuling 
Published: December 2019

Abstract
Renewable energy needs the usage of energy storage technology to manufacture its energy utilization because of instability via environmental impact in generating electricity process. Therefore, energy storage technology plays an important role in the process of renewable utilization systems, many kinds of new energy technologies consider energy storage system as an part of their energy management as well as progress of corresponding technologies. This paper promotes the development of energy storage technology and application of two topological structures, expounds its the function in power system and comparison under various control methods.
Research on Intelligent LED Headlamp System Based on Multi-Sensor Fusion
Authors: Wu Youyu , He Longqin 
Published: December 2019

Abstract
This paper researches on automobile headlamp system. Multi-sensor fusion technology is used in the system, which can realize for data acquisition of full automation, including the road conditions and the vehicle’s own operating status. On this basis, the deflection angles of headlamp at bend and ramp are calculated in real time, and the illumination angle and the illumination distance of the headlamp are adjusted accordingly. Finally, the research on intelligent LED headlamp system with the functions such as intelligent switching of low beam and high beam, bend adaptive lighting and ramp adaptive lighting is completed. The test results show that the system performance meets the basic requirements of automobile adaptive lighting.
Research and Implementation of Electric Bicycle Anti-Theft System
Authors: Jian Yuanming , Ji Jianbo 
Published: December 2019

Abstract
Electric bicycles are energy-saving, environment-friendly, lightweight, labour-saving, fast and reliable, and can meet the requirements of national energy-saving and emission reduction policies and scientific development concept. They are the first choice for consumers to travel in cities. The phenomenon of theft and loss is becoming more and more serious. Improving the anti-theft system of electric vehicles on the market has become an urgent livelihood and social problem to be solved. This paper mainly uses STC89C52 MCU as the main control chip to design an anti-theft system for electric bicycle. It realizes the functions of two-way vibration detection, sound and light alarm, mobile phone short message alarm, GSM short message remote power cut and short message remote control. The system has low power consumption, stable performance, low cost and wide application prospects.
Misalignments Computation of a Two-Mirror Optical System based on Modified Merit Function Regression Method
Authors: Wu Wei , Shang Jianzhong , Luo Zirong , Fang Delei , Deng Zhun 
Published: December 2019

Abstract
The computer-aided alignment (CAA) is a key technology to align a precision optical system, which is generally a difficult and laborious work. However, many methods proposed has a weak point in that they cannot calculate the misalignments accurately if there are figure error in mirrors. In order to solve this problem, a new modified merit function regression (MFR) is developed, which can compute the misalignments even if the effect of figure error. Misalignments computation based on the traditional and modified MFR are tested in a typical two-mirror optical system, experimental results shows the correctness of modified MFR and its high calculation accuracy.
Study on the Optimization of Energy Saving and Consumption Reducing Process of Tobacco Leaf Beating*
Authors: Yang Yang , Zhang Yuhai , Ou Mingyi , Gong Shuang , Han Lei , Wu Youxiang , Gong Shuang , Liu Sucan , Xu Hongqing 
Published: December 2019

Abstract
In order to realize energy saving and consumption reduction in the threshing and rebakingof flue-cured tobacco, this study conducted a process optimization study on reducing the intensity of leaf clotting on the premise of not affecting the current tobacco structure of the finished sheet. The results showed that “Low moisture and low strength” beating and rebaking can improve energy saving, consumption reduction and tobacco quality; using a wetting export moisture 17.5%, two outlet temperature 50 °C, a kind of roll speed 400 r/min parameters can realize leaf energy saving is obtained; the energy saving and reducing effects of the moisture, temperature, speed of the first dozen rollers, C3F rebaking intensity and B2F rebaking intensity were respectively 10.26%, 13.79%, 27.27%, 3.89% and 5.20%.
Design of Charging Pile Control System for Electric Vehicle Based on BP Neural Network
Authors: Chen Jialin , Zhou Zheng , Li Lei , He Yi , Zhao Shiwen 
Published: December 2019

Abstract
This paper presents a design scheme of charging pile control system for electric vehicle based on BP neural network and PID control. The design goal of this scheme is to design a charging pile control system for electric vehicles which is suitable for public parking lot and district parking lot. It can realize fast charging of electric vehicles, human-computer interaction with the system, calculation of consumer price and other functions.
Influence of Hole-Pressure Error on Pasty Propellant Rheological Test Results
Authors: Lei Guo , Dong Cheng , Ke Liu 
Published: December 2019

Abstract
Pasty propellants are viscoelastic fluids that exhibit a normal stress difference in shear flow. This phenomenon causes the pressure data measured by the pressure tap to be inconsistent with the expected value, which is represented by the hole-pressure error. In order to find out its influence on the rheological measurement results, this paper simulate the tube flow with the pressure tap based on PTT model. Results show that the pressure value in the circular section decreases with the increase of radial distance, and there is a weak secondary flow and lateral flow at the entrance of the pressure tap. By analyzing the pressure drop data of tube flow, the power law model is used to fit the desired pressure drop and the measured pressure drop respectively. It indicates that the hole-pressure error results in a small fitting value. However, the discrepancy between the power law model and the material has a certain positive effect. It can reduce the influence of the hole-pressure error on the forward calculation results by selecting the appropriate working range.
Numerical Simulation and Performance Test of Multi-heat Resource Water Cooling System
Authors: Zhang Longyan , Guo Yong 
Published: December 2019

Abstract
It is hard to obtain the performance of the whole traction converter water-cooling system with different shape and route connecting tubes. In order to get the performance effectively and rapidly, the numerical simulation method is adopted to do that. The flow rate to every water-cooling heat sink is acquired through simulation analysis. Based on the flow rate, the temperature distribution of water-cooling heat sink has been investigated, and also the temperature variation of water-cooling system. The results show that the temperature difference between water-cooling heat sink is less than 1°C under the same inlet flow rate.With the purpose of verifying the accuracy and correctness of the numerical simulation method, the performance test also has been done.The difference of performance result between numerical simulation and test is below 6%, which demonstrates the accuracy and feasibility of numerical simulation method. Comparing with test, the numerical simulation method can greatly improve the design efficiency and save human and financial resources.
Simulation of Temperature Field in FDM Process
Authors: Zhang Jian , Zheng Yanliang , Li Huimei , Feng Huijuan 
Published: December 2019

Abstract
In order to improve the precision and mechanical properties of FDM molding parts, the temperature field of the rectangular thin block was simulated and studied by using the finite element method. The analysis results were consistent with the actual process. On this basis, the temperature field distribution of the molded parts under different printing speeds was compared, providing guidance for the reasonable selection of printing speeds.
Design of dynamic error detection system for grating scale
Authors: Zhang C M , Zhang L S , Hu G L , Zhang S T 
Published: December 2019

Abstract
Grating scale is a closed-loop detection and control tool for precision machine tools, and its accuracy detection needs a higher precision detection platform. There are two kinds of commonly used detection platform guideways: sliding guideway and rolling guideway. Because of the contact of points or lines, the error caused by the guideway itself is obvious. In order to reduce the error of the platform itself, the air-floating guideway with small friction resistance and no vibration relative to the motion is used as the support mode, and the air pressure is debugged according to the smoothness of sliding. The static accuracy detection method of grating sensor is comparatively mature, but there is no effective solution for its dynamic accuracy detection. To solve this problem, we developed a dynamic error detection system of grating scale based on high-precision grating scale. The experimental results show that the system can detect the dynamic accuracy of grating scale, and has high detection efficiency. It is suitable for mass rapid measurement in practical work.
Effect of Temperature and External Load on Pre-Tightening Force of Satellite-Rocket Belt
Authors: Wang Wei , Duan Chenxu , Ma Xiaoqin 
Published: December 2019

Abstract
The satellite-rocket unlocking device is an important part for the smooth separation of the satellite and the rocket after they arrive the scheduled orbit. This paper aims to study the temperature and the external load effect on the belt pre-tightening force, which is an important design parameter that directly determines the reliability of the connection between satellite and rocket. Formula is given for calculating preload change of the belt. Along with the temperature change, the percentage error between the calculation results and test results is 0.88%-6.9%, and with the external load increasing the preload is increasing which follows the increase of the press on the interface surface, and the percentage error between calculation results and test results is 1.7%-9.4%, the result is very useful to calculate the preload of the satellite-rocket belt.
Analysis of the Status Quo and Countermeasures of Logisticians in Land Engineering Scientific Research Units
Authors: Sun Lu , Zhang Jing 
Published: December 2019

Abstract
In order to protect the land engineering research work smoothly, this paper takes shaanxi construction and engineering institute of technology as an example, analyzes the structure, age, gender and other structural components of the logistics personnel. For the related problems of logistics personnel management, it proposes countermeasures such as raising the awareness of teamwork, carrying out relevant professional knowledge training, and establishing a job evaluation mechanism.
Study on Mechanism and Characteristics of Particle Charging In Electrostatic Precipitator
Authors: Zhang Kexin , Chen Shiyu , Tan Long , Xu Minhu , Zhang Hongda , Zhang Dewen 
Published: December 2019

Abstract
Nowadays, Electrostatic precipitator (ESP) is an important large-scale equipment for reducing dust elimination and reducing pollution in industrial production. As the second working step of ESP, dust charging is very important, and its charge directly affects the subsequent work of the electrostatic precipitator and the dust removal efficiency. In this paper, the charging mechanism of dust particles in the discharge area of ESP is studied. The charge and its influencing factors of dust particles with different particle sizes under different mechanisms are analyzed. The research results have certain effect on how to increase the charge of dust particles. The research in this paper is of great significance to improve the dust removal efficiency of ESP.
Research and Analysis on the Training of Standardization of Customer Service in Power Enterprises Based on the Background of Linguistics
Authors: Xia Ganlin 
Published: December 2019

Abstract
Electric power enterprises are an important part of the national economy and a bridge connecting electric energy services with the public. Electric power enterprises provide high-quality electric power services for the majority of residents. Therefore, it is necessary to adopt standardized terms. Service standardization is a powerful guarantee for the service operation of electric power enterprises, improving the efficiency of service services of electric power enterprises, and improving public satisfaction. The use of standardized language in the process of customer service is an effective measure for enterprises to improve economic efficiency, and it is also an important means of internal standardization management. Therefore, enterprises attach great importance to standardization work and continuously improve the standardization management level of enterprises. It is very necessary to standardize the basis for promoting technological progress, improving product quality, service quality and engineering quality of enterprises, and is an effective means for enterprises to improve operational efficiency. An important tool for enterprises to achieve scientific management. The establishment of customer service standardization terms requires the specification of standardized terms in the context of linguistics to lay a good foundation for better customer service.
Low-voltage power line broadband carrier communication signal detection based on eigenvalue analysis
Authors: Xia Huizhu , Song Weiqiong , Li Rui , Wu Xiaolin , Luo Yizhao 
Published: December 2019

Abstract
In this paper, the eigenvalue analysis of the channel characteristics of low-voltage power lines is carried out, and the characteristics of impedance, signal attenuation and noise interference are studied. Based on the characteristics of China’s power grid and the on-site measurement of power lines in residential communities and metalworking internships, the noise sources and corresponding noise characteristics of low-voltage power line networks are analyzed. Aiming at the characteristics of signal attenuation and interference on low-voltage power lines, which are complex, random, and time-varying, and difficult to describe with more accurate analytical or mathematical models, several anti-interference measures to improve communication quality are proposed: Data packet reorganization Adding a wave blocker, multipath receiving technology, spread spectrum communication technology, and adopting a standardized communication protocol, and applying it to engineering experiments, the practice proves that the measures used are feasible and effective.
Thermal deformation prediction of high-speed motorized spindle based on thermal behaviour simulation
Authors: Zhu Xiaogang , Wang Xiaofeng , Liu Yang , Guo Shu , Zhai Ying 
Published: December 2019

Abstract
This paper conduct research to the temperature field distribution and spindle’s thermal deformation of motorized spindle by applying finite element thermal-structural coupled numerical simulation technology. And this paper also researched the radial displacement produced by the inner and outer ring’s axial displacement of the angular contact ball bearing. Thus the combination between the finite element thermal-structural coupled numerical simulation technology and thermal error analytic modelling is realized. The analysis results of motorized spindle error is made. The analysis results show that this method is effective in predicting the temperature and thermal error of motorized spindle.
Research on Identity Certification Framework Model in core business of Power Grid
Authors: Chen Mengxian , Xu Rui , Ma Feng , Hu Nan , Dai Wenbo , Xue Ke 
Published: December 2019

Abstract
Based on provable security theory for security protocols, a provable security identification framework model suitable for the core business of power grid is proposed to enhance the management level of user identification and improve security of user identification schemes. To verify the model, a new identification scheme for identification scenarios is given according to the model. Security analysis shows that the scheme is proven to be secure in the model. In addition, performance analysis shows that the scheme can timely response to hundreds of thousands of user requests, thus it can be used as an effective scheme for identification in the core business of grid.