bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Study and Fuzzy Prediction of Surface Bulk Negative Pressure Collection
Authors: Yang Dan , Liang Xiaodong , Chen Zhongkai , Sun Ye , Yin Fenglong 
Published: October 2019

Abstract
The surface loose sand with particle size less than 10mm was used as the experimental bulk material, and the negative pressure collection experiment of surface bulk material was carried out by using the rectangular nozzle. The influence of collection parameters such as the system air volume, nozzle movement speed, and suction nozzle height above the ground on the sand collection thickness was studied. The research shows that the collection thickness of bulk material increases with the increase of system air volume and is proportional to the second power of system air volume. The collection thickness decreases with the increase of the moving velocity of the nozzle and is proportional to the -0.5 power of the moving velocity of the nozzle. The collection thickness decreases sharply with the increase of the height above the ground of the suction nozzle, and is basically 0 when the height above the ground is greater than 20mm.The mathematical model of the relationship between sand collection thickness and collection parameters is established by using fuzzy reasoning method. The accurate prediction of sand collection thickness under given collection parameters is realized by rule inference. Experimental results show that the prediction error is less than 10%.
Research on the Status and Transformation of Jiangsu’s Petrochemical Industry Trade in the New Era
Authors: Dong Haiying 
Published: October 2019

Abstract
The development of Jiangsu’s petrochemical industry trade was analyzed. The scale of Jiangsu’s petrochemical trade remained stable and the trade was in a deficit state. The overall industry had a trade competition disadvantage, but the competitiveness was increasing year by year. Jiangsu should actively promote the transformation and upgrading by docking the needs of the Belt and Road, promoting enterprises to go global, focusing on building a new petrochemical industry, and promoting industrial standards to international standards, relying on the Internet to expand online channels and cultivating composite international talents.
An Analysis of the Mechanism of the Self-Increasing Brake System
Authors: Kong Xiangfa , Zou Haixin , Lu Jun , Wang Yuxing 
Published: October 2019

Abstract
The auxiliary brake is closely associated with the safety of passengers. Despite the issues of insufficient braking torque and excessive impact in the existing auxiliary brake, the self-increasing brake system has the characteristics of stable and reliable braking in favor of passengers’ safety. It is of great significance to study the mechanisms in the self-increasing brake system. In this paper, kinematic analysis along with mechanical analysis is used to study the braking torque under both static and dynamic conditions. The equivalent braking torque test and braking deceleration test are also conducted to evaluate the braking performance. It is shown that the braking in down direction conforms with the regulations. Researches have indicated that, even under the circumstance of a small theoretical value of braking torque, the self-increasing brake still meets the norms with a stable braking process as well as a limited impact, thanks to the combined effect of self-increasing torque. It can be seen that the self-increasing torque can directly influence the braking torque and the maximum deceleration.
Research on the Construction of Logistics Informatization Evaluation System for Large State-owned Energy Enterprises
Authors: Zhang Hui , Zhang Xiaoming , Gu Fangmeng 
Published: October 2019

Abstract
Through the analysis of the status quo of informationization of energy logistics system, this paper builds a logistics information evaluation system for large state-owned energy enterprises. The evaluation system consists of four major criteria: information infrastructure construction status, business operation status, customer service status, cost and profitability. The entropy method and analytic hierarchy process are used to determine the weight of the indicator evaluation system. The qualitative and quantitative analysis methods are used to establish the evaluation system. Comprehensive evaluation model. Finally, it puts forward opinions on improving the informationization of energy enterprise logistics.
Negative Pressure Wave Leakage Location Algorithm Based on Difference Cross-Correlation Delay Estimation
Authors: Zhao Lin , Wang Jiqiang , Hou Moyu , Li Zhen 
Published: October 2019

Abstract
Accurate estimate the time difference of the leakage negative pressure wave signals reached both sides of the sensor at the two sides of the leakage point is the key to accurate location of the leakage point. Based on the theoretical analysis of cross-correlation time delay estimation algorithm and characteristics of negative pressure wave signal, a cross-correlation delay estimation method for pipeline leakage negative pressure wave signal is proposed. Through wavelet transform, signal conversion and cross correlation function analysis of discrete negative pressure wave signal sequence obtained by high-speed sampling, the time difference of the negative pressure wave signal monitored by the sensors on both sides of the leakage point can be accurately obtained. In the laboratory’s 102.8 meters pipeline, leakage was simulated through the valve, the time delay estimation and leak location experiment of the sensor at the two ends of the pipeline were analyzed, and compared with the wavelet analysis method. The experimental results show under the condition that the leakage is 10%, 5% and 2% of the total pipeline volume, the cross-correlation analysis algorithm has a positioning error interval of 0.97%-1.46%, which is better than the current positioning error 0.48%-2.43% of the wavelet analysis algorithm. At the same time, it avoids the influence of different wavelet types and analysis scales in the wavelet analysis algorithm on positioning accuracy, and is more suitable for pipeline leakage monitoring system to real-time online monitoring needs, has a wide application value.
Research on Measurement and Control System of New Energy Vehicle Test Bench
Authors: Yuan Yongchao 
Published: October 2019

Abstract
New energy vehicles can alleviate the environment and energy pressure, promote the rapid upgrading and transformation of the automobile industry, and have a major impact on China’s technological economy and environmental improvement. However, at present, China’s new energy vehicle technology is still in its infancy, and there are still bottlenecks in the development of complete vehicles and parts. How to break through technical barriers and research new technologies has become a key factor in the introduction of new energy vehicles into the market. Based on this, the paper builds a new energy vehicle experimental platform, and develops a real-time online multi-channel data acquisition and analysis system based on Lab VIEW. Combined with the D2P Moto Hawk development platform, the electronic control of the test platform is realized. The final development of the measurement and control system enables dynamic monitoring of the test bench, fault alarms and control of key components.
A Characteristic Distill Arithmetic of Region Growing Method Based On Fuzzy Connectedness
Authors: Yang Yanli , Hui Xiachao , Zhang Jinsheng 
Published: October 2019

Abstract
To solve the problem that the traditional region growing algorithm cannot deal well with the fuzziness between the damage area and the background, and the segmentation result is sensititive to the initial seed pixel, a region growing method based on fuzzy connectedness is proposed. The method takes fuzzy connectedness as the similarity measure between the initial pixel and the growing pixel, which keeps the fuzziness among the pixels well. A growing crition integrated gray- fluctuation control with USAN area is proposed to fit the gray fluctuation in the damage area and get edge position precisely. The experiment results show the validation of this method.
The Research and Development of the Key Technologies for Runway Intrusion System
Authors: Zhang Liang 
Published: October 2019

Abstract
With the rapid development of the aviation market and the capacity limitations of aviation systems, runway intrusion has received increasing attention from the aviation community. Through the analysis of the possibility of runway incursions during the operation of Wuhan Tianhe International Airport, an algorithm for effectively preventing runway intrusion has been studied. Aiming at the many influencing factors of runway incursion, an improved runway intrusion algorithm has been proposed. Improved runway intrusion algorithm, applying flight performance and planning related knowledge to establish mathematical model, the physical properties of aircraft, such as type, wake, braking time, braking time after braking, as well as conflicting multiple zones, the slope of runway, pilot judgment reaction time, etc, these factors are all included in the consideration, so that the accuracy can be improved by setting different speed functions for different models. The simulation of the operation of the aircraft at Wuhan Tianhe International Airport has been carried out. The simulation results show that the model can give the alarm of runway intrusion and the reasonable solutions in time, which can effectively provide the assistants with decision-making.
Augmented reality tracking registration and process visualization method for large spacecraft cable assembly
Authors: Chen Huajun , Chen Changyu , Sun Gang , Wan Bile 
Published: October 2019

Abstract
The new generation of spacecraft has the characteristics of large-scale structure and complicated cable assembly process. In order to meet the needs of the augmented reality process visualization technology in its further application exploration, the two aspects of augmented reality tracking registration and process visualization are now studied. In the large-scale spacecraft cable assembly application scenario, the augmented reality process guidance technology puts more stringent requirements on the continuous tracking range and virtual and real registration accuracy of large space. The 3D process visualization method for cable assembly is optimized to improve the accuracy, quality and efficiency of the operator in process interpretation and implementation.
Auxiliary Error Correction Method for High Precision IMU
Authors: Gao Weiwei , Wang Hongyun , Fang Dan , Wang Yi , Zhang Hongyan , Zhang Xiaoliang 
Published: October 2019

Abstract
According to the needs of error correction about the low precision IMU strapdown calculation parameters, error correction method is researched under the high precision IMU, an error correction scheme is proposed, established the state space equation and the corresponding measurement equation, The simulation experiment is carried out in the state of motion carrier, The results show that the method is convergent to parameters of the estimation results, the attitude error, the accelerometer constant zero bias and the gyro zero bias is estimated effectively, the estimation accuracy of the attitude error can be achieved within one arc min. The method has high autonomy and strong anti-interference ability for the error correction of the low precision IMU, which is can be used in the case of the weapon system with multi precision inertial group.
Solving Flexible Job Shop Scheduling Problem in Cloud Manufacturing Environment Based on Improved Genetic Algorithm
Authors: Li Yunlong , Luo Guofu 
Published: October 2019

Abstract
In this paper, aiming at the new characteristics of flexible job shop scheduling in cloud manufacturing environment, this paper studies the residual capacity utilization of cloud manufacturing enterprises, considers the idle time of equipment, studies the workshop scheduling method with idle time, and constructs the scheduling framework of cloud manufacturing operation workshop. The production tasks accepted on the platform are carried out together with the tasks assigned by the workshop itself, with the goal of minimum penalty total cost, and the improved genetic algorithm is used to solve the optimal scheduling sequence of the workpiece. The validity of the proposed method is verified by using the benchmark example.
A Design of Solar Power Electric Zipper for Tent Based on Microcomputer STC89C52
Authors: Liu Yixian 
Published: October 2019

Abstract
This paper designs an electric zipper control system for outdoor tents, whose manually controlling zipper is laborious and time-consuming. The system adopts Microcontroller STC89C52 as the main control module. It can control the automatic opening and closing of the zipper according to the light intensity and the setting time. The device provides a solar power supply module to solve the problem of inconvenient charging in the field. The system has the advantages of high cost performance, stable operation, strong anti-interference, etc. It improves the shortcomings of the traditional intelligent zipper control.
Based on the comparison and analysis of the economic characteristics of transformers in an operating substation
Authors: Zhang Tianyi 
Published: October 2019

Abstract
The technical parameters of transformer are the basic data for analyzing and calculating the comparative analysis of transformer economic characteristics, The comparative analysis of transformer economic characteristics is to seek for reducing transformer active power and improving its operating efficiency, That is to reduce the transformer loss rate, And reduce the reactive power loss of the transformer. The active power loss, reactive power loss and integrated power loss of transformer are calculated. The quantitative calculation formula of economic operation mode of transformer in substation is obtained through analysis, The economic operation mode arrangement and load adjustment can be carried out for the transformer of a certain substation, The purpose of economic operation of transformer and reduction of network loss can be achieved.
Investment Attractiveness Evaluation on International Markets for Shengli Oilfied
Authors: Pan Fei , Zhang Zaixu , xie Jijun 
Published: October 2019

Abstract
In recent years, Shengli Oilfield continues to expand its international market for the aim of comprehensive, sustainable and high-quality development. This paper established an investment attractiveness evaluation index system (including 3 categories, 12 indicators) for the international markets and made a quantified evaluation of environmental risk in the five target markets including Middle East, Central Asia, North Africa, America and Southeast Asia. Based on the value of the investment attractiveness evaluation, this paper ranked the five target international markets and gives some further investment advices considering the current international strategy of Shengli Oilfield.
A Simulated Training Instrument for Testing Equipment
Authors: Wu Yong , Lei Lei , Zhang Jian Hu , Ruan XiaoYan , Zhang Jun 
Published: October 2019

Abstract
The number of certain testing equipment is small, and the teaching task undertaken by colleges and universities is heavy. The equipment works for a long time, which affects the training effect of teaching. To solve this problem, a simulator for testing equipment is developed. The simulator adopts modern technologies such as computer, automatic test, micro-electronics, automatic control and virtual instrument. It combines computer, target simulation, virtual instrument and data acquisition and processing to form a fully functional and cost-effective simulation maintenance training system.
Intelligent Music Rehabilitation Hand Based on Voice Recognition
Authors: Zhou Lingyi 
Published: October 2019

Abstract
Music therapy has its unique clinical application value in improving conscious state, emotional state, language communication ability, motion function, sleep state and the rehabilitation of the brain’s cognitive function of the patients who suffer from cerebral apoplexy and cerebral injury. With the rapid development of music rehabilitation therapy, it has become an important power in modern rehabilitation medicine, which is valued by rehabilitation workers. During rehabilitation training, the therapists, with the help of apparatuses, carry out hand technique and lower limbs training for the patients, or help them train by means of apparatuses. Rehabilitation equipment is a rehabilitation therapy facility widely used in the field of clinical care. At present, the existing rehabilitation equipment is mostly heavy, which makes the rehabilitation training dull and boring, and induces irritation of those receiving rehabilitation therapy through finger training to the disadvantage of the therapy. In the paper, an intelligent music rehabilitation hand is designed to help them for therapy at different stages. Different modes can be selected with voice interactive mode and control device. By using the theory of steering engine driving, the intelligent music rehabilitation hand can drive the steering engine with the rhythm of the music to achieve the aim of rehabilitation through driving the clenching and spreading of the fingers. With such a device, people can carry out their rehabilitation therapy while enjoying the music.
Power Consumption Analysis of Stepping Motor and Its Driving Circuit
Authors: Xie Aoru 
Published: October 2019

Abstract
In this paper the computer numerical calculation was used to analysis the power consumption of the stepper motor and the driver circuit and improve the efficiency. The mathematics model build with the parameter of 10PM-K013B has been calculated with different driving voltage and plus frequency, the relationship between efficiency and driving voltage, and between efficiency and plus frequency was obtained. The result showed that, the efficiency improved as driving voltage reduce and plus frequency rise. The efficiency can rise from 20% to 50% with appropriate choice of driving voltage and plus frequency.
Brief Analysis of the Impact of Green Building Materials on Ecological Environment
Authors: Li Xiaoqing , Yun Zhou 
Published: October 2019

Abstract
With the acceleration of urbanization construction and awareness of environmental protection, people’s demand for green building materials is increasing. Compared with traditional building materials with high consumption, high pollution and high cost, green building materials have incomparable performance, which is energy-saving, environmentally friendly and healthy. It has a positive impact on environmental protection. It is conducive to building a livable city, creating a beautiful homeland; reducing resource energy consumption and reducing environmental pollution; and building a resource-saving and environment-friendly society.
Information Security Risk Assessment of Hazardous Chemicals Emergency Command System Based on AHP-Fuzzy Comprehensive Evaluation Model
Authors: Zhang Jufeng , Gai Ke , Yang Fengfeng , Yang Rili , Wang Siyang 
Published: October 2019

Abstract
Emergency command system is the hub of dealing with emergencies, which is of great significance to emergency rescue. In order to establish a more perfect emergency command system, considering the characteristics of strong subjectivity and large error in qualitative evaluation of information security system, based on AHP (Analytic Hierarchy Process) and Fuzzy (Fuzzy Analysis) evaluation method, this paper uses AHP-Fuzzy comprehensive evaluation model to quantitatively evaluate the information security of emergency command system of a hazardous chemical production enterprise in Qingyang, and calculates the risk. The validity of the discriminant model is verified.
Thermal Simulation Analysis of Reliability of an Avionics Based on Flotherm
Authors: Tong Qin , Liang Jun 
Published: October 2019

Abstract
Aiming at the reliability thermal design of avionics equipment, based on the reliability thermal simulation and analysis method of flotherm, the CFD digital prototype is established. The thermal simulation and thermal test of avionics equipment model are carried out at room temperature, and the results of temperature data of both are compared. The error is less than 5% to verify the correctness of the model. The thermal simulation analysis of the high temperature 70 °C environment conditions is carried out by using the simulation model, and the latent heat dissipation problems and weak links of the components in the thermal design of avionics equipment are obtained. The location and cause of potential failure are pointed out to guide the thermal design of avionics equipment and improve the reliability of avionics equipment.
The Existing Problems and Promotion Strategies of Green and Low-carbon Urbanization in China
Authors: Song Haiyun , Zhang Xiaoxuan , Liang Cai , Zhang Xiaofeng 
Published: October 2019

Abstract
This paper analyzes the problems existing in the green and low-carbon development of urbanization in China from the perspectives of concept, planning and management, industrial structure, technological innovation and policy system, and proposes corresponding measures and Suggestions to promote the green and low-carbon development of urbanization.
Non-Mechanism Model for Superheater Pollution Diagnosis of Waste Incinerator Based on BP Neural Network
Authors: Li Maodong , Yang Bo , Zhai Wei , Ma Xiaoqian , Xia Yuqing , Lin Yan 
Published: October 2019

Abstract
Dust accumulation of boiler heating surface is one of the common problems in power plants, which will affect the unit’s economic and safe operation in serious cases. In this paper, the factors that affect the ash deposition in the superheater of the garbage incinerator are analyzed, and a non-mechanism model for diagnosing the ash deposition pollution in the superheater of the garbage incinerator is established by using 3-layer BP neural network. Parameters such as garbage disposal amount, furnace temperature, primary air flow amount and secondary air flow amount are selected as input vectors, parameters such as secondary superheater inlet smoke temperature and primary superheater inlet temperature are taken as output values, and real-time data of units collected by a power plant DCS system are used as sample sets to train the network after normalization processing. The trained BP network has good effect in superheater pollution diagnosis.
Research on Location Strategy of Mobile Anchor Node Based on Virtual Force
Authors: Chen Xuerui , Hu Yanzhu , Ai Xinbo , Shao Yanchao 
Published: October 2019

Abstract
In the process of wireless sensor network location based on mobile anchor nodes, the location strategy of mobile anchor nodes has important influence on the performance of positioning. However,the existing strategy does not traverse empty area effectively, the length of path is too long. Therefore, a dynamic adjustment location strategy based on virtual force is proposed. Firstly, the unknown nodes randomly distributed in the region are adjusted to be evenly distributed under the influence of virtual force. Then a moving anchor node travels from the positive center of the region along the direction of equidistant spiral and adjusts orientation dynamically under the influence of virtual force. The simulation results show that the anchor node can traverse effectively according to the unknown node’s distribution, and successfully shorten the length of moving path.