bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evolutionary Game Analysis of Engineering Construction Innovation and Local Government Environmental Regulation Strategy
Authors: Yan Xiaoming 
Published: March 2020

Abstract
Recent years, with the development of China, an incessant springing up of major engineering projects. Based on the characteristics of the decentralization of local governments in China, whether there are local governments competing to set up major engineering projects at the expense of the environment in order to maintain local economic development. From the perspective of evolutionary game, this paper constructs a game model between engineering construction innovation and local government under the influence of local government’s choice of different environmental regulations. Through the dynamic replication equation, the behavior selection path and evolution strategy of local government and engineering construction firms are obtained. The research results show that the strict environmental regulation of local governments and the technological innovation of engineering construction firms can achieve stability at the same time, and the conditions are effective government investment by local governments.
Importance Evaluation of C4ISR Communication Nodes Based on Multi-attribute Decision-making
Authors: Li Fangsheng , Hou Jianfeng , Qu Lianzheng , Fan Binbin 
Published: March 2020

Abstract
Node importance is a key measuring index for network structure characteristics. Evaluating the nodes importance can locate key nodes of the network and provide support for network node planning. The importance of the C4ISR communication node reflects the dependence degree of the functional nodes and functional links on the C4ISR transport nodes. How to transform this qualitative dependence into quantitative dependency measuring is the core problem of evaluating node importance and locating key nodes. Based on the quantitative dependence measuring, this paper proposes a C4ISR communication node importance evaluation method based on multi-attribute decision-making. Meanwhile, the applicability of the method is verified by examples.
Research on Optimization of Stereo Garage Parking Location Based on Genetic-Tabu Search
Authors: Li Bowen , Li Jianguo , Yang Bo 
Published: March 2020

Abstract
In order to solve the disadvantages of long queue and low efficiency of vehicles access in the plane mobile stereo garages. A hybrid algorithm of genetic algorithm to optimize tabu search is proposed to optimize the parking space allocation strategy of the garage. Aiming to shorten the vehicle average waiting time and the working distance of the carrier in the process of vehicle access, the mathematical model of the stereo garage is established through the investigation and data extraction of the actual running stereo garage. We compared the experimental simulation data of the genetic-tabu search hybrid algorithm and the tabu search algorithm. The experimental results indicate that: the Genetic-Tabu search hybrid algorithm has better convergence, which can effectively optimize the location allocation mode of the stereo garage, shorten the vehicle average waiting time and the working distance of the carrier. It has important application value.
Speed and Rotor Position Identification of Permanent Magnet Synchronous Motor Based on ADRC
Authors: Sun Diansheng , Xu Mingqing 
Published: March 2020

Abstract
Aiming at the accurate estimation of rotor speed and position of surface- mounted permanent synchronous motor, a scheme using extended state observer in the two phase static frame is constructed. The conventional method estimating the rotor speed and position in two phase synchronized rotation reference frame has the problem of error accumulation of the estimated rotor position which was calculated by angular velocity estimated value integral. This method avoids those problems and has advantages. The speed and current closed loop control system is constructed by using the auto disturbance rejection controller to replace the PI regulator. The simulation results validate the accuracy of the rotor speed and position is higher, and the system is stable and has good disturbance rejection performance.
Improved voltage scanning method for maximum power point under partial shadow conditions
Authors: Ding Wenfang , Yu Shiqi 
Published: March 2020

Abstract
This paper proposes a novel maximum power point tracking (MPPT) algorithm with global search. The algorithm combines global voltage sweep and incremental conductance method, and introduces a Judging factor as a criterion for global voltage scanning. The Judging factor is compared with the threshold and the scan step size is selected based on the result. Take a large step when far from the peak. When approaches the peak, uses the incremental conductance method to find the local extrema and store it, then continues scanning. When the output power is close to zero, the scan is complete, Comparing all local extrema points then the global maximum power point will be found by this algorithm. Matlab simulation results show that the algorithm can find the global maximum and the search speed is fast.
Structure Optimization of Gas-Liquid Separator Based on STAR CCM+
Authors: Liang Qiufeng , Xiao Changrun , Zhang Lu , He Senlin 
Published: March 2020

Abstract
At present, most of the submarine air compressors at home and abroad are directly discharged into the cabin when they blow off the condensed water and oil, resulting in environmental pollution in the cabin and corrosion of surrounding parts. In order to solve this problem, this paper studies the condensate drain device of submarine air compressor. STAR CCM + based on CFD method is adopted to analyze the flow field of two-phase gas-liquid separator. The reliability of STAR CCM + numerical simulation is verified by comparing with the existing test data [1]. On this foundation, combined with submarine cabin space and condensate discharge characteristics of submarine air compressor, the structure of gas-liquid separator is optimized. Focus on the analysis of flow field distribution and gas-liquid separation effect in the case of different baffles and the presence or absence of baffles. The results show that when the inlet dryness is 0.7, the bottom baffle of the separator can make the internal flow field more stable; the dryness of separator gas outlet can reach 0.99 with four-turn spiral deflector and the bottom mounted baffle. The result of numerical simulation can provide a valuable reference for the design of the condensate drain device of submarine air compressor.
FEM analysis of the distortion of thin-walled sealing part affected by the machining-induced residual stress
Authors: Fan Zhiqiang , Cao Lixin , Liu Feng 
Published: March 2020

Abstract
Thin-walled sealing parts are typical difficult machining parts due to their lower stiffness and higher machining accuracy requirements. Among all the influential factors on the distortion of thin-walled parts, machining-induced residual stress (MIRS) plays a key role. In this paper, the effects of the MIRS changed with the number of cuts and the allocation of cutting depth on the distortion of the sealing part are investigated. Firstly, the MIRS is obtained by a finite element cutting simulation model of the AISI304L stainless steel material. Then, the obtained MIRS is applied to the workpiece, and the distortion of the workpiece is simulated after releasing the clamping constraints. The simulation results show that the multi-cutting processes and the reasonable allocation of cutting depth have a remarkable influence on the control of the workpiece distortion.
Summary of research on road roughness
Authors: Zhou Wei , Zhu Changjian , Li Wen , Ge Haoran 
Published: March 2020

Abstract
Road roughness is a key factor affecting vehicle ride comfort and occupant comfort. It is the basis for road grade evaluation and also determines the dynamic load of the vehicle. Measuring road unevenness is often used to evaluate the quality of road construction. However, with the development of smart cars, in order to adjust the speed and suspension parameters in real time according to the road roughness, to improve the ride comfort, the method for measuring the road unevenness in real time becomes New research hotspots. This paper firstly introduces the indicators and standards for evaluating road roughness, and then summarizes the research progress and direction of road roughness from both direct measurement and indirect identification. Among them, the methods of non-direct identification of road roughness are highlighted, which are classified into laser sensor based recognition, vibration model based recognition and neural network based recognition.
Power optimization method for wireless power transmission system based on improved differential evolution algorithm
Authors: Tian Yu , Li Tinghui 
Published: March 2020

Abstract
In this paper, we proposes a power optimization algorithm in view of the Differential Evolution algorithm (DE) in order to reduce the transmission power due to the frequency split of the electromagnetic coupling resonant radio energy transmission system in the over-coupled state. Simulation experiments in MATLAB environment verify the effectiveness of the algorithm for power optimization of transmission system. Simulation experiments show that compared with the standard Differential Evolution algorithm and adaptive control parameter Differential Evolution algorithm (JDE), a new adaptive Differential Evolution algorithm (NDE) is improved based on the standard Differential Evolution algorithm. The new algorithm enables the system to find the optimal load power faster, which is conducive to increasing the output power of the system.
Investigation on cooling performance of a composite cooling turning tool based on CFD and Taguchi method
Authors: Shu Shengrong , Xiao Caiwei , Qi Xiaoning , Zhang Yu , Liu Leping 
Published: March 2020

Abstract
In order to decrease the cutting temperature and assist the chips removal while reduce or eliminate the generation of cutting waste liquid in metal cutting process, a novel turning tool cooled by combining circulating internal cooling with spray cooling is proposed. In this paper, the cooling performance of the composite cooling tool is investigated by the combination of CFD based thermal-fluid-solid coupling analysis which were carried out by Fluent and Taguchi design. A discussion on the influence of cooling parameters on the cooling performance of the composite cooling tool is conducted. The results show that the order of the influence of each parameter on the cutting temperature is as follows: coolant temperature of circulating internal cooling, spray pressure, air temperature of spray cooling, coolant flow rate of circulating internal cooling and coolant flow rate of spray cooling. The optimal parameters in this study are: spray pressure is 0.45 MPa, coolant flow rate of spray cooling is 150 ml/h, air temperature of spray cooling is 2 °C, coolant flow rate of circulating internal cooling is 2 m/s, coolant temperature of circulating internal cooling is 2 °C.
Formation Regularity of Annular Shaped Charge Jet by Numerical Simulation
Authors: Xi Liping , Li Mei , Wang Shuyou , Jiang Jianwei , Men Jianbing , Sun Shengjie 
Published: March 2020

Abstract
Formation process of an annular-shpere liner driven by shaped charge has been studied using AUTODYN numerical simulation software. Research works of factors, including length to diameter ratio of charge, detonation radius and distance between liner and shell, that affect the jet head velocity, deflection angle, and head diameter have been implemented. The results show that the liner driven by shaped charge initiated annularly will be shaped into a annular jet which can form a large-diemeter hole on the target, while the liner forms a converged jet when shaped charge is centrally initiated. As the ratio and the initiation radius increase, the jet diverges; as the distance between the liner and the shell increases, the jet converges.
Research on Talents Training Mode of Local Applied Undergraduate Universities under the Background of New Engineering
Authors: Feng Hong , Ru-Ru Liu , Zuo Sun , Ye – Wang Qian 
Published: March 2020

Abstract
With the double wave of the new industrial revolution and the new economic revolution, traditional engineering education faces unprecedented challenges. The traditional engineering training model and the cultivated talents cannot adapt well to the needs of the industrial revolution under the new situation. Under the background of new engineering construction, the development of local applied universities has ushered in tremendous development opportunities. This paper studies the talents training mode of local applied universities, and proposes the integration of deep production and education, enterprise modular practice training, and multi-faceted training mode. reform. “Reform and Development Education First," China’s engineering education must seize the opportunities of new industry development and new technology innovation, take into account the recent and long-term development needs of the engineering field, and vigorously promote the reform of the talent training model, thereby promoting the national and regional human capital structure. The upgrade will help transform the economic model from a traditional economy to a new economy.
An Improved Anti-counterfeiting Printed QR Watermarking Algorithm Based on Self-Adaptive Genetic Algorithm
Authors: Xie Rongsheng , Huang Pengcheng 
Published: March 2020

Abstract
To solve watermarking parameters optimization problem and enhance anti-counterfeiting performance, a self-adaptive genetic algorithm is proposed and introduced to improve robust QR code watermarking scheme. In the improved scheme, we adaptively change the genetic algorithm procedure according to the relation between the maximum fitness value and the average fitness value of a population. With the improved genetic algorithm procedure, it is easier to get better diveisity. In addition, mutation probability as well as crossover probability is adaptively modified to quickly seek out the optimal watermarking parameters. The tests indicate that the decoding rate of QR code noticeably increases without degrading detecting rate of digital watermark with the improved anti-counterfeiting printed QR code watermarking scheme.
The Application of building information management platform in prefabricated building production stage
Authors: Li Jie 
Published: March 2020

Abstract
By studying and analysing the application status of information management platform in prefabricated building production phase, the paper summarizes the management and quality problems of prefabricated building components in the production phase, puts forward the use of BIM technology to simulate the production of components in the prefabricated production chain, and Uses the information platform to supervise the production process of components. Based on the problems of prefabricated buildings in the production stage and the characteristics of BIM information platform, this paper analyses that the construction information management platform can bring benefits to participants of prefabricated buildings in the production stage.
On the reverse mortgage in China: An Empirical Analysis Based on risk neutral pricing method
Authors: Dai Kaichuang 
Published: March 2020

Abstract
“Reverse mortgage loan of housing" refers to the mortgage of housing property rights to financial institutions by the elderly with housing property rights. After comprehensive evaluation of borrower’s age, expected life, the present value of house, future appreciation and depreciation and other situations, the value of the house is divided into parts, and the cash is paid to the borrower on a monthly or annual basis until the borrower’s death.
Digital Exploration of Sports Cultural Heritage of Guangdong People’s Stadium
Authors: Mao Wenwu , Zhang Jie , Dong Xingtuan , An Nannan , Zhang Kexin , Zhang Zewen , Wu Siyuan , Che Jiang 
Published: March 2020

Abstract
Guangdong People’s Stadium, known as the “living fossil of sports culture in the South of the Five Ridges”, is one of the most ancient stadiums in China. It owns a history of over 1400 years from the “Yuewutang” in Tang Dynasty in 618AD, and has left abundant sports cultural heritage. However, many precious sports cultural heritages have been damaged and lost over time. This paper makes a digital exploration of sports cultural heritage of Guangdong People’s Stadium based on image processing technology, 3D modeling technology, 3D scanning technology and action simulation technology in combination with software such as Photoshop, SolidWorks, Geomagic and CATIA. It may help protect and carry forward the sports culture of Guangdong People’s Stadium and even the South of the Five Ridges.
Research on the Reliability of Internet of Things Information Transmission for Bus bar Operation on-line Monitoring
Authors: Zhang Yecheng , Zhou Guigen , Yang Ning 
Published: March 2020

Abstract
Aiming at the problem of packet loss in information transmission for on-line monitoring of bus bar operation status, the factors influencing the reliability of information transmission are analyzed from three aspects: The physical structure of monitoring system, communication protocol and the topological structure of information transmission network. A routing quality evaluation model is constructed, and a highly reliable path selection algorithm for information transmission is proposed. The results show that the model and algorithm proposed in this paper not only can greatly reduce the packet loss rate in the Internet of Things, but also effectively solve the problem of information transmission reliability of on-line monitoring system for bus bar operation status. Furthermore, an example of reliable information transmission for other Internet of Things applications is provided.
Development of remote monitoring system for aquaculture water quality based on Internet of Things
Authors: Zhang Zewen , Mao Wenwu , Wang Zijie , Tan Xiaolin , Wu Fan , Wang Dengkui , Fang Xiong 
Published: March 2020

Abstract
In order to know aquaculture water quality situations in the real time, ease work strength of aquaculture workers, and improve aquaculture efficiency, this paper develops the remote monitoring system for aquaculture water quality based on Internet of Things, including selection of water quality monitoring parameters, overall design of monitoring system, type selection of single chip microcontroller and sensor, design of monitoring system software, and water quality parameter sampling design. The aquaculture workers could understand information of aquaculture water body such as dissolved oxygen concentration, pH value, ammonia-nitrogen content, and temperature through remote monitoring system, and remotely control the aquaculture water quality for targeted purpose.
Robot Trajectory Planning based Attack and Defense Strategy for Water Polo Confrontation
Authors: Wang Chao , Zhou XiaoYu , You JiaXun , Xin Jia 
Published: March 2020

Abstract
Taking account of the attack of the enemy fish and disturbance of water waves generated in the water polo match, the fish head wiping the ball due to displacement of the target ball often occurs. In this paper, a tail sweeping based double fish alternate attack strategy is proposed. In this strategy, ball attack can be achieved by any part of the fish body, and it assures that the hitting of the ball no longer dependents on the fish head only, thus improves the robustness of the attacking scheme. Furthermore, as the short distance requirement for posture adjustment provides valuable time for the strategy of double fish alternation, we add the opponent fish attacking movement in the return phase. The experimental results show that the goal attack time of the tail sweeping strategy is shortened by 38.5% (single fish) and 66.9% (double fish alternation) respectively, which proves the performance efficiency of this strategy.
Structure Safety Appraisal of Cafeteria in Certain School
Authors: Liu Zhong , Li Huaibin 
Published: March 2020

Abstract
After a school canteen was completed and put into use, cracks appeared in some reinforced concrete beams and slabs of the frame structure. In order to understand the safety of its structure, the structural safety of the canteen was appraised. The appraisal results show that the structural safety of the school canteen does not meet the requirements of the norms. According to the appraisal results, the following suggestions are put forward: (1) strengthening the members whose concrete strength is lower than the minimum requirements of the code; (2) strengthening the structural members whose bearing capacity does not meet the requirements; (3) reinforcing the components with stress cracks; (4) repairing the cracks of the concrete members; (5) repairing the cracks of the filling wall; (6) The school canteen should be suspended and qualified units should be entrusted to reinforce the canteen.
A Data Desensitization Algorithm for Privacy Protection Electric Power Industry
Authors: Tang Zhenying , Zhao Wei , Wang Chenfei , Yang Zixing , Xu Yin , Cui Shenhao 
Published: March 2020

Abstract
In view of the data security problems faced by big data technology in the development of electric power industry, this paper proposes a power big data desensitization algorithm applied to privacy protection, that is, a binary K-clustering algorithm (BKC-LDA) based on K-anonymity and L diversity. First, in order to reduce the computational complexity, a classification attribute is determined to classify the data table initially, and the equivalent class number K and the sensitive attribute value category L are limited according to the number of the original ancestor in the source data table. Then, considering the influence of the change of the internal range of the attribute value on the clustering, the equation for calculating the distance between the original ancestors with weight is established, using the idea of greedy and binary K clustering to classify the data table initially sets are clustered and generalized. In addition, this big data desensitization method determines the security level policies of different permissions by adjusting the size of K and L. Our algorithm can adapt to the desensitization of power big data with different attributes in different scenarios. It can not only fully mine the value of data, but also effectively protect the privacy of users.
Common coupled fixed point theorems on cone b-metric-like space
Authors: Wang Changchun , Xu Guangjun , Zhang Zhuanzhou , Ran Jie , Chen Zhiyou 
Published: March 2020

Abstract
In this paper, cone b-metric-like space is an extension of cone metric space, b-metric space and metric-like space. In this space, two functions have an unique common couple fixed point if they are w-compatible. Some examples are given to explain these new results.
Study on Moving Base Alignment of INS/CNS Integrated Navigation System
Authors: Zhu Hai , Zhao Wangyang , Zhou Lingfeng , Wang Kai , Zhao FengHao 
Published: March 2020

Abstract
Aiming at INS/CNS moving base alignment problem, this paper designs a moving base alignment method based on comprehensive calibration mode of INS error. Based on attitude and position measurement information of INS/CNS, this paper deduces linear status equation of INS/CNS, and meanwhile analyzes and establishes measurement equation for the alignment equation. It designs a moving base alignment solution based on the information integration method with Kalman filtering technology, and verifies the effectiveness of alignment with the method under moving base conditions through simulation analysis. The simulation results show the method may reach heading precision superior to 15” within 60min under dynamic navigation of ships.