bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Simulation of Hydrodynamic Pressure on Concrete Bridge Pier in Water from a Series of Model Tests
Authors: Qin Yifang , Tao Xiaxin , Liu Haiming , Tao Zhengru
Published: November 2020

To develop numerical procedure to simulate hydrodynamic pressure on concrete bridge pier in water, finite element models are built by software ADINA with the same sizes and material properties in a set of shaking table tests in this paper. The results our numerical simulations show that the all pressures on the three piers decrease with the submerged depth at the similar rate as test data shows, and the mean values of the ratios of numerical results to the test data are mainly from 0.8 to 1.0. The pressures on piers with different section shapes at same depth are varied and the relative order is not stable. The finding is similar to that from the test data, but different to the shape coefficient values provided in some seismic design codes of highway bridges. It suggests to check what kind of horizontal variation of hydrodynamic pressures at same depth level is there from the center to the edges. The pressures with reflected wave are approximately half to two third of those without reflected wave. It means that the reflection effect reduce the hydrodynamic pressure on bridge pier obviously. The effectivity of the absorbing stuff on the side walls of the tank in the tests must be improved, or a new way to replace this kind of measure must be worked out.
Numerical Simulation of Hydrodynamic Condition on Shielding Measures of Hong Kong-Zhuhai-Macao Bridge
Authors: He Jie , Zhao Xinsheng
Published: November 2020

According to the characteristics of water flow movement in the junction area of island and tunnel, the “asymmetric” type double diversion dike measures for the north and south sides of basement shelter area were formulated. The 3D mathematical model of flow in the water area of local sinking base was established in this article. The hydrodynamic simulation of the diversion dike was carried out. The results showed that the flow velocity in shelter area of basement is greatly reduced. The maximum flow velocity of artificial flattening section of E33 pipe joint base is less than 0.5 m/s, and the maximum flow velocity of flattening ship construction section is not more than 0.8 m/s. The flow rate can meet the conditions of immersed tube installation. For safety reasons, E33 pipe joint placement time is suitable for the small tide period with weaker power flow.
Numerical Simulation of Straight Rib Solar Air Collector
Authors: Yi Xiaofang , Gu Weili , Man Xuepeng
Published: November 2020

In this passage, a straight rib solar air collector is proposed. The effects of the number of ribs, the height of the ribs, the length of the ribs and the air inlet velocity on the heat collection efficiency and the normalized temperature difference are studied using the orthogonal test method. The orthogonal test plan with 4 factors and 3 levels is selected to perform numerical simulations on different collector models. The results show that the significance of each orthogonal factor on the heat collection efficiency and the normalized temperature difference is: Inlet velocity> Height of ribs > Number of ribs> Length of ribs, and get the best parameter combination: the number of ribs is 9, the rib height is 45mm and the rib length is 2000mm. In addition, the study found that the average heat collection efficiency and normalized temperature difference of the model are 3.98% and 0.00052 (K·m2)/W higher than the ordinary solar air collector.
Rolling Process Analysis of Working Rollers of Cold Rolling Mill Based on ANSYS
Authors: Shi Kun , Zheng Gang , Hang Jianhua
Published: November 2020

Aiming at the complex changes of the working rollers and rolled pieces in the rolling process of a cold rolling mill, this paper built a finite element model of the working rollers and rolled pieces based on ANSYS, and analyzed the rolling process of working rollers by using the transient algorithm of structural dynamic equation. The stress-strain situation and rolling force curve of working rollers and rolling pieces were obtained, The results revealed the characteristic change process of working rollers and rolled pieces in the rolling process, which layed the foundation for further realizing the precise control of the rolling process of cold rolling mill.
Empirical Analysis of Stock Investment Based on β-KFCM
Authors: Wang Yuxue , Song Zongxiang , Ren Xiaoping
Published: November 2020

Cluster analysis is an analysis method that classifies data sets. It measure the similarity between different data and classifies them on the basis of similarity, but the classification is unknown. In recent years, with the popularization and improvement of information technology, a large number of diversified data have been produced in various industries. In order to extract data features and classify them, this paper, based on the study of fuzzy C-means clustering algorithm, take the systematic risk coefficient as the weight, expand the model to get the weighted fuzzy kernel clustering algorithm: -KFCM fuzzy clustering algorithm and solve the algorithm. Based on the empirical research, we choose six Accounting Indicators to study 50 stocks in A-share market, including current ratio, cash ratio, year-on-year growth rate of operating revenue, return rate of total assets, net sales interest rate and asset liability ratio. According to the empirical research, we can get the results that the investment grade is divided into three categories, among them, Category I is the recommended high-quality investment variety, category II and category III are next to it.
Study on the Constructing and Developing Mode of the Smart Port in the Beibu Gulf of Guangxi
Authors: Cheng Zilai , Wu Haibin , Ni Peng
Published: November 2020

In order to form a new constructing and developing mode under the background of the deep integration of the traditional port and the modern information technologies, the Beibu Gulf Port Group in Guangxi will focus on the three core themes which are the intelligent control, the digital supply chain and the “Internet + port” information services, to carry out the smart port construction. Aiming at studying the constructing and developing mode of the construction of the smart port in the Beibu Gulf, its constructing objectives were clarified, the overall technical framework was built, the system constructing plans were put forward, and the expected effects were analysed. On the whole, the Beibu Gulf Smart Port will realize the intellectualization, automation and platform construction of the group ports, help the transformation and upgrading of “intellectualization” of the ports, and create a new smart port ecosystem of “resource integration and optimization, business cohesion and coordination, information interconnection and interoperability” in the Beibu Gulf region. The construction of the Beibu Gulf smart port can also play its leading role in the regional economy better, and provide strong support for promoting the development of the Beibu Gulf Economic Zone and the opening and development of Guangxi.
Research on Music Education Model by Using Computer Music Technology in Colleges
Authors: Zhou Yang
Published: November 2020

Against the background of new teaching conditions and the rapid development of computer technology, computer music technology serves as the important method in modern music teaching. The object of this article is to have a study of the methods and models of university music education under the reform of technology in computer music. In this article, students majoring music majors and non-music majors of the Art University are the subject of the survey. They are divided into professional classes (N=50) and non-professional classes (N=50). The professional classes use computer music technology for practical teaching, and Non-professional classes use traditional music to teach. After the experiment, the degree of mastery of the music professional knowledge of the two classes and the acceptance of computer music teaching and traditional music teaching methods were investigated and analyzed. The results of the study show that the introduction of computer music production technology can motivate students to participate in learning, allowing students to experience the charm of music and enrich the content of music knowledge in an intuitive and vivid situation.
Computational Simulation Study on the Influence of Spray/Wall Impact on the Mixing Characteristics of Bipropellant Centrifugal Apogee Engine
Authors: Zhang Zhen , Yu Yusong , Cai Kun , Wang Fengshan
Published: November 2020

The present research investigates the impingement between spray droplets and two different coating walls is investigated to analyse effects of impingement on the mixing characteristics of propellants. In a mechanism experiment, a droplet with variable Weber number impinging on the coating walls at different wall temperatures is observed to have different behaviors, including spread, breakup, splash, suspension and rebound. Through this experiment, we establish a mathematical impinging model of these two coatings, which are identified by wall temperature and incident Weber number. These models are taken into the simulation to describe the mixing characteristics of two propellants under thermal atmosphere. The results indicate a significant difference in the mixing situation for two coatings impingement, showing a good agreement with experimental results of firing tests. Compared with SiCrTiZr coating, MoSi2 coating significantly benefits better mixing to improve combustion efficiency with lower temperature simultaneously, because more droplets get into impingement regimes of rebound and participate into central combustion. Therefore, oxygen-rich combustion area is centralized away from chamber wall, which is conducive to survival of liquid cooling film.
Simulation on Escaping Process in Closed Construction Based on Multiple Model
Authors: Wang Wenzhao , Gao Wanchun
Published: November 2020

In order to obtain the optimal escaping route in closed building and evaluate the escaping time, an evacuation model was established. The cellular automata model and ant colony algorithm was utilized in this process. Firstly, the cellular automata model was used to estimate escaping time. Using distances from individual locations to the exits to build risk of each point, then the evolving process was modified by factors like ability of individuals for innovation which can reflects escaper’s health, ratio of flurried people and the rules of people entering into next floor. Besides, ant colony algorithm method was used for the optimal routine. The equations of information judgement and accumulation was used, then take the broken down exits into consideration for an innovation. In the end, estimated escaping time and optimal evaluation route of Louvre was obtained by this model as a check and through the results some suggestions in evacuation was concluded.
Synthesis, Biological Evaluation and in Silico Studies of Several Substituted Benzene Sulfonamides as Potential Antibacterial Agents
Authors: Zhang Aimin , Li Wei , Liu Xiaofang , Wu Minggen , Xuan Guangshan
Published: November 2020

Four substituted benzene sulfonamides were synthesized to obtain antibacterial agents. The antibacterial activities were evaluated by the cup plate method. Compound 2d showed the most obvious inhibitory effect on seven kinds of strains with MIC ranging from 16 to 64µg/mL. The inhibitory effect of compound 2d on A. niger, C. albicans, B. subtilis, and S. aureus was better than that of the control drug SAN. Moreover, the cytotoxicity was evaluated by MTT assay. Finally, the binding patterns of the compounds with dihydrofolate synthetase and the prediction of oral bioavailability were preliminarily studied by computer simulation. The molecular docking result revealed that compound 2d had a stronger interaction with dihydrofolate synthetase than SAN. The oral bioavailability prediction by Molinspiration online program proved that these compounds exhibited drug-like properties. In conclusion, compound 2d is promising as a new antibacterial agent.
Research on Logistics Simulation and Optimization of Die Forging Production Line Based on Flexsim
Authors: Cheng Qiang , Shen Hongchao , Chu Hongyan , Liu Zhifeng , Zhang Caixia , Ren Jiaxiang
Published: November 2020

Long forging production cycle and low equipment utilization are the important problems currently facing domestic die forging ring production lines. To solve this problem, a simulation optimization method for die forging production line based on Flexsim was proposed. Firstly, the ECRS theory method was used to analyze the bottleneck process of the production line. Then, built a logistics simulation model of die forging production line based on Flexsim, The parallel and cycle processing steps was set reasonable parameters and simulated. Next, through logic analysis, methods such as adding processing equipment, improving equipment efficiency and balancing equipment handling tasks were used to optimize and improve the production line. Finally, compared and analyzed the original and optimized model. The simulation results show that the optimized production line equipment task allocation tends to be rationalized, the equipment utilization rate is increased by 4.34%, and the product cycle time is reduced by 27.65%, and optimized planning and design are achieved.
Simulation Study on the Average Specific Kinetic Energy and Safety Radius of Stun Grenade Fragments for Different Initiation Point
Authors: Wang Jiaying , Zhan Renjun , Liu Xingyu
Published: November 2020

In order to evaluate the lethality and injury radius of fragments and weaken the average specific kinetic energy, the calculation model of average specific kinetic energy of stun grenade fragments is established based on the Monte Carlo subdivision projection simulation. With the joint simulation method of LS-DYNA and programming, the calculation model of the specific kinetic energy of the semi-prefabricated fragments is solved and compared at different initiation points of the same charge. The mass distribution, vertical target distribution, average specific kinetic energy threshold and safety radius of the whole time-domain fragments at the initiation points 1.5cm, 3cm, 4.5cm, 6cm, 7.5cm and 9cm from the top of the shell are obtained. For the same charge parameters, the results show that the number of fragments near the initiation point of the charge center is less, the mass mean value and standard deviation are larger, and the threshold value of specific kinetic energy is lower than that of both ends of charge; the injury radius of the initiation points 1.5cm, 6cm and 9cm is 4.9m, 2.94m and 4.1m respectively. The initiation point near the charge center can significantly reduce the injury radius of the fragments and improve the safety of the stun grenade.
Research on Reverse Engineering of Mechanical Characteristic Parameters of Materials in Collision Simulation
Authors: Fan Zechen
Published: November 2020

The setting of material mechanical characteristic parameters in collision simulation has a great influence on the accuracy of simulation results. Taking the energy absorbing box as the research object, based on the inverse method of energy absorption box test data, finite element simulation, test design and genetic algorithm, the mechanical characteristic parameters of energy absorption box materials are optimized and the initial peak force and the platform force of the force displacement curve obtained from the quasi-static compression test are taken as the evaluation criteria, According to the price standard, the optimized reverse parameters are applied to the simulation model for calculation, and the simulation data are compared with the test data. The results show that the force displacement curve obtained by the simulation model is basically consistent with the overall change trend of the force displacement curve obtained by the test, and the error between the simulation data and the test data is small.
Simulation Analysis of Power Spot Market Based on Evolutionary Game
Authors: Zhao Erdong , Wang Hao , Lin Hongyang , Chen Mingsong
Published: November 2020

As a new round of deepening reform in power system goes on in China, establishing an effective and complete power spot market nationwide based on the construction and operation of eight power spot trials becomes an important task for China. This paper analyzes the competitive strategies and capabilities of different types of power generation enterprises under the operating rules of the electricity spot market by building an evolutionary game model based on an improved genetic algorithm using MATLAB, which provides a valuable scientific basis for the construction and development of the future electricity spot market.
Analysis of Seismic Isolation Effects on a Reverted L-shaped Pier Bridge in High Seismic Intensity Region with Finite Element Simulation
Authors: Wang Longfei
Published: November 2020

The seismic response of urban special-shaped bridges is large, and the consequence of these bridges’ failure is very influential, therefore, the seismic response of this kind of bridges must carefully be calculated and seismic measures of isolation should be used for them. Simulation methods was studied for common used seismic isolation structures such as the rubber bearing, high damping rubber bearing, friction pendulum bearing and block. Four layouts of those seismic structures were set up for an actual reverted L-shaped pier bridge, which were correspondingly four simulation cases. The seismic responses of the bridge were analyzed and comparatively studied in all simulation cases, as a result, the seismic performance and seismic isolation effects of those structures were researched for the bridge, and the isolation design methods were gained. The results show that measures of isolation can reduce largely the seismic response of this kind of special-shaped bridge, high damping rubber bearings have remarkable effect and make the responses among piers more even, and setting reasonably blocks with clearance can make full use of the seismic performance of structures of the bridge.
Research on Equipment Virtual Training Evaluation
Authors: Zhang Baohua , Wei Han , Wang Xiaowei
Published: November 2020

Virtual reality technology was once regarded as the leading force in the development of industrial technology in the future. However, the development of virtual reality technology has encountered a bottleneck period, and its future will attract attention. This article discussed the current technical bottleneck of virtual reality technology, summarized the causes, and analyzed the future development trend of the technology. In view of the shortcomings of the training effect evaluation in the equipment virtual training, the needs of virtual training evaluation are analyzed, an evaluation index system is constructed, and the evaluation system framework is designed. The research results can provide a theoretical reference for perfecting the equipment virtual training.
Mathematical Modelling and Heat Transfer Performance of a TEG for Engine Exhaust Heat Recovery
Authors: He Min , Wang Enhua , Zhao Changlu , Zhang Fujun
Published: November 2020

In recent years, thermoelectric power generation has been investigated widely for waste heat recovery of internal combustion engines. In this paper, the exhaust gas of a heavy-duty diesel engine is used as the heat source. A mathematical model and the simulation program of a large thermoelectric generator(TEG) are established. Using the MATLAB software, the trends of the TEG working parameters in the flow direction are analysed. The flow rate and the temperature of the cold sources, the engine speed and load, and the fin structure parameters of the tube-fin heat exchanger are studied. The results show that the error between the simulated output power and the experimental one is within 11%. A higher engine load rate and a lower coolant temperature are conducive to improving the output power and the conversion efficiency of the TEG. Optimizing the fin spacing and fin height is helpful to improve the heat transfer performance of the heat exchanger and increase the thermoelectric conversion efficiency.
Bootstrap Approximating the Mean of Long Memory Time Series
Authors: Peng Muci , Chen Zhanshou , He Mingcan
Published: November 2020

This paper evaluated the finite sample performances of three bootstrap methods, sieve AR bootstrap (SARB), fractional differencing sieve bootstrap (FDSB) and fractional differencing block bootstrap (FDBB), in approximating the mean of long memory time series. Extensive simulations show that the FDBB method has more stable approximate results in most cases and can more accurately approximate the mean distribution of long memory time series than the other two methods.
EMD and Singular Value Difference Spectrum Based Bearing Fault Characteristics Extraction
Authors: Li Hui , Qi Yang
Published: November 2020

Aiming at extracting rolling bearing defect characteristic effectively under strong background noise, a defect diagnosis technique based on empirical mode decomposition (EMD) and singular value difference spectrum is put forward. Firstly, the non-stationary original bearing vibration experimental data is decomposed into several intrinsic mode functions (IMFs) using EMD technique to eliminate the noise influence. Secondly, the effective intrinsic mode functions are selected by using correlation functions to reconstruct the bearing transient vibration signal. Thirdly, the singular value decomposition of the reconstructed signal is carried out to calculate the singular value difference spectrum (SVDS), and the principal components are selected according to the SVDS. Finally, the envelope spectrum of the reconstructed principal components data is calculated, and rolling bearing defect characteristic is picked up according to the envelope spectrum technique. The results of the experiment exhibit that the proposed technique can be effectively applied to rolling bearing defect characteristics extraction.
Strength Degradation and Life Calculation of Parts under Complex Loads
Authors: Zhang Lei , Feng Guang , Hu Zhen
Published: November 2020

For components, the strength will decrease under the action of multiple loads. In this paper, based on the equivalent relationship of the load, a strength degradation model of the part under multi-stage load is established. This model solves the problem of calculating the remaining life of the part after multiple loads, and can guide the replacement or maintenance of the part during use.
Chinese Dialect Recognition Using X-vector with Multi-task Learning
Authors: Yang Jingzhe , Yu Tongrui
Published: November 2020

Speech recognition is often hard for language in countries with diverse accents, like Mandarin. However, the recognition of different dialects may help to improve the later speech recognition. In this paper, we conduct some experiments on a ten-dialect recognition task. We improve the system with different methods, like x-vector and multi-task learning with phone recognition. Finally, with the combination of the methods, we improve the accuracy of baseline model from 76.48% to 88.25%, where the relative improvement is 15%.
A Review of Disorder Voice Processing Toward to Applications
Authors: Xu Wenhua , Chen Runxuan , Chen Xiaobo
Published: November 2020

Disorder voice processing has great potential to provide convenient, efficient and lowcost applications in medical diagnosis and treatment. For the purpose of a systematic summary of the research progress, this paper introduces it in three terms of research objects, acoustic parameters and features selection, and acoustic model and classification algorithms. It concludes that the appropriate feature selection, feature hybrid and feature offset, integrate with the deep learning frames are the future directions in disorder voice processing.
A Webpage Segmentation Method Based on Node Information Entropy of DOM Tree
Authors: Zhang Shengnan , Wu Jiawei , Yang Kun
Published: November 2020

Aiming at the problems of DOM tree-based webpage segmentation methods in rationality of segmentation results, efficiency, and relying on auxiliary means, in this paper, we propose a new method based on node information entropy of the DOM tree. First, it classified webpage tags and only processed tags that affected the structure of pages. Second, comprehensively considering the content features and the structure features of DOM tree nodes, it calculated information entropy of nodes and maximum text density of subnodes, and based on them, determined whether a node was an independent page block. Finally, this method did node fusion to get the segmentation results. Segmentation tests of multiple web pages with different structures show that the proposed method can accurately and quickly segment the content of web pages.
An Efficient Method for Density Projection Field Solution Based on Finite Element Method
Authors: Zhang Zhengyu , Zhu Fushun , Zhou Run , Chen Qinmei , Yan Hua
Published: November 2020

In the wind tunnel flow field, the relationship between the density projection field, caused by disturbance, and the offset angle of light meets the Poisson equation. However, the source term of the Poisson equation is composed of a series of measured offset angles, which makes it can not be solved effectively by the existing methods. On the basis of the finite element method (FME), we established the fitting formula between the offset angles in the source terms and their corresponding coordinates by employing the Genetic algorithms and back-propagation (GA-BP) neural network. Meanwhile, when the element load vectors were solved, the double integral expression of the entire triangle element prediction was approximately replaced by the constant expression of the triangle vertex element prediction. Simulation experiments demonstrate that compared with the traditional interpolation, the neural network can achieve higher fitting precision. And the proposed algorithm greatly improves the operation speed under the same solution error. By applying the proposed algorithm to the real flow field, the obtained features of the density field are similar to those obtained in the real environment. These imply that the proposed method provides a new useful tool for the study of the density projection field.
Development of Partition of Unity Finite Element Method for the Modelling of Acoustic Waves Propagating through Porous Domain
Authors: Yang Mingming , Song Xiao , Breard Cyrille , Chazot Jean-Daniel
Published: November 2020

The numerical simulation of propagating sound fields in two dimensions using Partition of Unity Finite Element Method(PUFEM) technique is implemented in this work. PUFEM is one of the most practical methods developed to alleviate high computational cost of conventional Finite Element Method when we deal with the medium and high frequency problem. The main idea of PUFEM is to expand the finite element approximation space by incorporating a group of wave functions which are solutions of the governing equation into the target problem. With the intention of further accelerating the computational process, an advanced 2D Exact Integration Technique(EIT) for accelerating the computation process of highly oscillating integrals is proposed and the related PUFEM triangular element is created. The performance and practical interest of this new PUFEM element combined with EIT are evaluated for the wave propagation problem where a porous absorber is included.
An FPGA-based Direct Sampling and Digital Processing System for Wideband and Narrowband Radar Signal
Authors: Zhao Yingxiao , You Hongliang , Zhang Yue
Published: November 2020

This paper designs an integrated wideband and narrowband radar signal direct sampling and digital processing system based on FPGA. The system comprises a VPX case, a main board, a direct sampling board, a fiber board. It makes direct sampling of 1.8GHz-3.0GHz echo waves, with 3.2GHz sampling rate. The wideband and narrowband echo waves share the same ADC channel. After ADC sampling, both of wideband and narrowband data are exported to a mix-free digital quadrature demodulation module in FPGA. The narrowband data will be further processed by digital frequency down conversion. The wideband data will be further processed by digital de-chirp operation, with parallel DDS structure and multi-level decimation filters. Data rate of both the wideband and narrowband data after processing is decreased obviously. The designed sampling system cut down the analog radar signal processing operation, and decreases signal distortion. Besides, it integrated the reception, sampling and processing of wideband and narrowband signal, simplified the structure of radar system.
Application of Text Analysis Technology in Aviation Safety Information Analysis
Authors: Liu Junjie , Yan Huijuan , Du Yinlan
Published: November 2020

This research is aimed to obtain potential safety hazards quickly, accurately, and efficiently from a large amount of daily collected aviation safety information, and provide a clear improvement direction for safety risk control. By combing with the text analysis and machine learning, clustered a given type of aviation safety information according to its content is an important basis of mining information effectively. Taken the system failure/jam/fault events collected by Chinese civil aviation in 2017 as a sample. By means of text pre-processing, feature extraction by using logarithmic IF-IDF and k-means method under the environment of python3.6, an automatic clustering model of the sample information is established, and then the visualized results are output based on Multi Dimensional Scale (MDS). The analysis results show that text clustering and visualization can quickly and automatically file information, identify the similarity among sample information, easily lock key information, and provide targeted measures for the next step of risk management and control.
The Organization Model of Big Data Innovation Alliance: A Multi-Case Study from the Perspective of Virtual Clusters
Authors: Li Tianzhu , Wang Xiaomei
Published: November 2020

The Big Data Innovation Alliance can be understood as a cross-industry and cross-region spatial agglomeration phenomenon based on Big Data. From the two aspects of constituent elements and organizational characteristics, the Big Data Innovation Alliance is found to be a learning organization with a flat management structure. A multi-case study method is used to empirically test the virtual cluster characteristics of the big data innovation alliance organization model using four typical cases, and to analyze its generality and specificity based on the research variables. Several policy implications have been obtained for the big data innovation alliance organization model.
Education Reform of Theoretical Mechanics for Civil Engineering in Big Data Era
Authors: Xie Ming , Meng Fanbing , Feng Wei , Ma Shaohua
Published: November 2020

The “Theoretical Mechanics” course is a basic mechanics course for undergraduates majoring in civil engineering. Based on the teaching status of the course, it conforms to the development trend of the era of big data, analyses the necessity of teaching reform and gives corresponding countermeasures. Practice has shown that the teaching reform of the “Theoretical Mechanics” course in the era of big data has greatly increased the enthusiasm of students to learn the course and the quality of teaching Guarantee. It provides an effective guarantee for the cultivation of high-level, high-quality modern scientific and technological engineering talents in the era of big data.
Intelligent Traffic Signal Control System Based on Edge Computing and Big Data
Authors: Yang Jinyan , Suo Hui
Published: November 2020

The traffic in big cities is becoming increasingly congested. Traffic jams need to be solved urgently. Intelligent transportation is the trend of future development. This paper proposes an intelligent traffic light control system based on edge computing and big data. Firstly, a large number of edge computing nodes are used to obtain all kinds of traffic related real-time data; secondly, big data is used to achieve the effective storage and processing of massive data; finally, neural network is used to integrate all the influencing factors to achieve the optimal control of signal lights. Experimental results show that the method is effective.
RETRACTED: Research on the Development of Network Economy under the Background of Big Data
Authors: Chen Gang
Published: November 2020

As the product of the development of Chinese network technology and big data era, network economy plays an important role in promoting the economic development of China. The development of computer network technology and the arrival of the era of big data have changed the mode of social production and consumption and triggered a revolution in the development of the network economy. Now, the network economy is gradually accepted by the masses due to its advantages of high efficiency, speed and convenience. However, compared to the real economy, its “virtual economy” characteristics will increase the risks of transactions and supervision. Based on this, this paper has studied the opportunities and challenges faced by network economy development under the background of big data and puts forward some suggestions and measures for the network economy to adapt to the challenges from the era of big data.
Research on the Science and Technology Collaborative Innovation Demonstration Zone Evaluation Based on Data Envelopment Analysis
Authors: Li Xiaosong , Tian Zhifeng , Li Zenghua , Peng Xinran
Published: November 2020

In recent years, studies on the Science and Technology Collaborative Innovation Demonstration Zone have increased notably. However, there were few works dedicated to the evaluation method, and our study was to fill in the blank. In this paper, the evaluation model based on Data Envelopment Analysis was built, 6 input and 4 output evaluation indexes were introduced, and a case analysis was conducted. The research result provides reference for objectively evaluating the construction effect of the Science and Technology Collaborative Innovation Demonstration Zone.
Implementation for Geological Environment Sub-node Data Sharing of Geological Cloud 2.0
Authors: Ren Xiaoxia , Yin Ming , Han Mingwei , Zhou Meng , Yu Mengliang , Huo Zhibin
Published: November 2020

Geological Cloud 2.0 is a comprehensive upgrade of data resources and systems on the Geological Cloud 1.0. As one of its distributed nodes, geological environment sub-node provides data sharing services in the geological environment for Geological Cloud 2.0. In order to better serve the comprehensive sharing of Geological Cloud 2.0 data resources, the specific technical implementation of Geological Cloud 2.0 geological environment sub-node data sharing was introduced with shared data. The construction effect of this node was introduced. The results show that the data sharing implementation technology of geological environment sub-node provides reference experience for Geological Cloud 2.0 construction and upgrading in the future.
Research on Multi-sensor Data Fusion Technology
Authors: Tong Yuqing , Bai Jiujun , Chen Xuebo
Published: November 2020

Multi-source sensor information fusion mainly collects various types of information from multiple independent decentralized sensors. Due to the different types of information, specific combinations of time and events are required to make the collected information more advanced and useful information. From the level of fusion, it will be merged from the three levels of data set, feature level and decision-making level. For different practical problems, it is necessary to use a certain level of fusion or a certain two levels of fusion according to the situation, so as to obtain the most optimal integration scheme.
Big Data Property Rights Confirmation Scenario and Its Applicability of Rights Confirmation Technology
Authors: Zhao Haijun , Wang Yanlin
Published: November 2020

The rapid development of the new generation of information technology constantly promotes the value appreciation and realization of big data, and the demand market for big data transactions is forming gradually. As the basis of big data transaction, the ownership of data property is worthy of wide attention in academic circles. This paper summarizes and analyses three scenarios of big data property rights confirmation and their tasks and work content, discusses five technical means and their applicability of big data property rights confirmation, and probes into the construction of large data information property rights evaluation model in the changeable dynamic environment. It is hoped that this paper will provide scientific reference and guidance for the future work of big data right confirmation.
Construction and Application of VR / AR-based STEAM Curriculum System in Primary and Middle Schools under Big Data Background
Authors: Hu Xiaoqiang , Wang Yuanyuan , Fan Xiaoting , Ma Zhimei
Published: November 2020

Virtual Reality Technology has been widely used in teaching to provide learners with a real sense of learning experience. At the same time, the new educational models, such as STEAM education and Creator Education, which are strongly advocated by our country, combine the two and use visualized big data to screen and analyze STEAM education, to understand the connotation and application of STEAM education and the role of virtual reality technology in STEAM education. This paper expounds the goal and practical curriculum structure of STEAM curriculum system in primary and middle schools based on virtual reality technology, designs and integrates the curriculum structure, constructs the concrete curriculum system, and gives the thematic teaching organization form, finally, the teaching application of the course system is discussed.
Evaluating Impacts of the COVID-19 Pandemic on China’s Container Ports Based on AIS Big Data
Authors: Zhu Jishuang , Qiu Weiwei , Jian Wentao
Published: November 2020

To quantitatively analyse the impacts of the COVID-19 pandemic on China’s container ports, the berthing ships are mainly investigated by the big data of Automatic Identification System (AIS). First, the methods of AIS data acquisition, cleaning and statistical analysis are introduced. Then the sample ports of Shanghai, Ningbo-Zhoushan and Tianjin are selected, and the monthly ratios of key indicators such as the number of berthing ships and berthing time are calculated by AIS analysis system. Finally, the numerical results show that although the COVID-19 epidemic does not significantly affect the number of container ships arriving at China’s ports, it has a significant impact on the average berthing time of container ships.
Metro OD Matching and Statistical Research Based on AFC Data
Authors: Jiang Ailin , Sun Qianqian , Peng Zhen , Wei Xinyi , Huang Qiang , Tong Ming
Published: November 2020

With the development of the smart city system, it is more and more import to improve China’s rail transit system and create a convenient traffic environment for passengers. This article will use the AFC data of Chongqing Regional Rail Transit for two months for OD(origin-destination) matching and passenger flow statistics. The main work includes AFC(Automatic Fare Collection) data cleaning, OD information matching, data conversion, passenger flow statistics and data visualization under the big data environment. At the same time, in the construction of the data platform, three schemes are currently adopted. One is to adopt the traditional method of java-Oracle when the amount of data is small. The second is to use the classic method of Hadoop-Hive when the amount is large. The third is to use parallel computing Maxcompute for large amounts of data to improve data calculation speed. Through the experimental comparison of the three schemes, the exact matching of the site, line, time and passenger flow statistics, in terms of speed, the parallel computing method is used to calculate the fastest data. This paper based on the AFC data of metro OD matching and statistical research can help the transformation of urban traffic structure from extensive to fine and provide support for urban transportation planning and decision-making.
The Application of Blockchain to Intelligent Port Logistics——Taking Hainan Free Trade Port as an Example
Authors: Liu Cuicui , Wu Shaoying
Published: November 2020

Blockchain technology promised a secured and trusted way to trade, and empowered traditional industries, such as the logistics industries. This paper first analyzed the researchers’ thought and real-world application of blockchain technology to the logistics industry, and then introduced the current development of information technology in intelligent port logistics in Hainan, an island that was transformed in to a free trade zone and was granted much more autonomy than that given to the other FTZs in China. Based on a case study of the possible application of blockchain in the lintelligent port logistics hubs of Hainan FTZ, this paper came to the suggestions that can be workable for the construction of ports alike in Hainan FTZ.
Study on the Prediction of Imbalanced Bank Customer Churn Based on Generative Adversarial Network
Authors: Li Bo , Xie Jiuzuo
Published: November 2020

The imbalanced commercial bank customer data will lead to the unpredictability of the minority class. Therefore, this paper proposes an imbalanced data method based on generative adversarial network to deal the problem of poor prediction performance of traditional classifiers for minority class. This paper method is based on the generative adversarial network to generate minority class samples to improve imbalanced data. Finally, the classifier is used to train the balanced data to improve the prediction performance of minority class. In this experiment, the data of a commercial bank customer were measured with indicators such as F1, Precision, and compared with traditional data sampling methods such as SMOTE, BSSMOTE. This method is feasible and applicable to the classification of imbalanced data of banks by observing the experimental results, which has better application value.
Threats to Wireless Sensor Networks and Approaches to Use Homomorphic Encryption to Secure Its Data
Authors: Babenko Ludmila , Tolomanenko Ekaterina
Published: November 2020

The article considers the basic principles of building modern wireless sensor networks. The general structures of such networks, their application spheres, their strengths and weaknesses are considered. Special attention is paid to the problem of security of processed and transmitted data, as well as existing approaches to providing reliable cryptographic protection of these data in wireless sensor networks. It is shown that at working out of mechanisms of maintenance of protection of the information in sensor networks first of all it is necessary to consider restrictions inherent in such networks on volume of memory, speed of used processors, and also power consumption. This leads to a more careful and weighted choice of encryption algorithms for use in sensor networks, both for direct encryption of data collected and transmitted by sensor networks nodes, and for auxiliary functions such as calculating the optimal network route by routers that are part of sensor networks. The article focuses on the possibility of using homomorphic encryption systems to protect data collected by sensors and transmitted via wireless connections. The advantages of full and partial homomorphic encryption systems in terms of their application to sensor networks with sensors measuring environmental parameters are shown. The analysis showed that using partial homomorphic encryption over the Paye Cryptosystem to hide data in sensor networks had reasonable grounds.
A Blind Watermarking Algorithm Based on Wavelet Transform for 3D Model
Authors: Sun Guangmin , Zhu Zixi , Zhang Zihao
Published: November 2020

In order to protect the visual effect of 3D model, watermarking algorithm should have good invisibility, thus a novel frequency-domain watermarking method is proposed in this paper. Robust regions of 3D model are selected as the watermarking regions in this algorithm, and watermarking regions are transformed into two-dimensional images depending on vertices distribution. Then the two-dimensional images are transformed into wavelet transform images by using wavelet transform algorithm and the watermark is embedded in low frequency coefficients of wavelet transform images. The experimental results show that the watermarking algorithm in this paper has high invisibility, and can resist common attacks such as noise, rotation, cropping and scaling.
Activation Detection Algorithms for Pattern Division Multiple Access Uplink Grant-free Transmission
Authors: Tang Wanwei , Kang Shaoli , Zhao Jinlong , Ma Zhuang , Zhang Xiurong , Wang Lixia
Published: November 2020

As a key technology of 5G, non orthogonal multiple access (NOMA) technology can significantly improve the spectrum efficiency compared with the traditional orthogonal multiple access technology. In addition, grant-free transmission technology can further reduce the transmission delay of the system and effectively improve the number of service users in the cell. In this paper, the pattern division multiple access (PDMA) technology (a typical NOMA technology) is taken as an example, PDMA technology based on Grant-free transmission (GF-PDMA) is studied, the uplink GF-PDMA pilot’s structure is designed and a user activation detection algorithms based on the received pilot’s power is proposed. The simulation results reviews that the algorithm proposed in this paper can fully meet the detection requirements of PDMA.
Friction Coefficient Inversion Calculation Based on Quasi - newton Method and Particle Swarm Optimization
Authors: Ren Yongliang , Zhang Guopeng , Sun Kai , Jiang Minzheng , Gao Sheng , Reifsnyder Sam , Zhang Ruijie , Wang Yan , He Shuwei
Published: November 2020

Establishing the pipeline network model of oilfield water injection under known partial pressure through fuzzy clustering method. In order to solve the inversion of pipe element friction coefficient in the case that the joint pressure of water injection pipe network is partly known, the simulation mathematical model of network node pressure and the optimal mathematical model of pipe element friction coefficient inversion are established respectively. By combining the simulation of nodal pressure by quasi-newton method and the inversion of friction coefficient by particle swarm optimization, the ideal pipe element friction coefficient of the pipe network with the partly unknown part of the node pressure can be inverted to achieve the partial accurate solution and partial estimation solution of the pipe element friction coefficient.
Multi-constraint UAV Fast Path Planning Based on Improved A* Algorithm
Authors: Kong Xiaodi , Pan Bin , Cherkashin Evgeny , Zhang Xiaoyang , Liu Linke , Hou Jian
Published: November 2020

Path planning is an important part of UAV intelligent control technology. For the current UAV path planning, the A* algorithm has a large memory overhead during the planning process, and the search speed is slow. It cannot meet the path planning in a complex three-dimensional environment. The immediacy requirement and considering the constraints are less, this paper made the following improvements to the A* algorithm. The first, combining an anytime repair search framework with a weighted A* algorithm, it is possible to quickly find a feasible path during the search process. The second, aiming at the defect of relying on low heuristic function weights in the algorithm, a double ranking criterion is proposed to improve the efficiency of the algorithm approaching the optimal path in the iterative process. And third, to reduce the number of node expansions in the planning process, increase list storage constraints have been improved. Finally, the results of simulation experiments show that the improved algorithm proposed in this paper can quickly generate feasible paths, and can continuously optimize the approach to the optimal path within a specified time, which is far superior to the traditional A* algorithm in terms of planning efficiency and immediacy.