bluuebunny/crossref_metadata_2025 huggingface dataset:
Preliminary study on innovative design of bamboo furniture based on users’ big data
Authors: Sun Zhenzhen , Shao Jiahuan
Published: February 2021

Leverage Python software combined with contrastive analysis, structural analysis and trend analysis to analyze the current bamboo furniture market. Make use of Baidu Index to analyze the future development trend of bamboo furniture and user portrait. The research showcases that the simple modern style, pastoral style and European style furniture have made up a huge part of the market on the bamboo furniture market at present, and the bamboo furniture structure in the market mostly adopts weave structure and scaffold structure. From regional analysis’ perspective, the bamboo furniture developed more advanced in southeast coast and furniture industry spreads around Guangdong to its surrounding areas in cluster effect. The evaluation of bamboo furniture users shows that users pay more attention to the height, size, comfort and folding adjustment of bamboo furniture, whilst paying less attention to its design, which also reflected that bamboo chair is relatively lack of design. Through the analysis of the future development trend of bamboo furniture by Baidu Index, the conclusion is drawn that bamboo furniture can expand consumer groups by improving the design, such as, the exploration of intelligent development. In summary, based on the data analysis of the current situation and development trend of bamboo furniture market, this paper puts forward the innovative design of bamboo furniture to improve the competitiveness of bamboo furniture market, and promote the development of bamboo furniture Industry.
Analysis of health resource allocation efficiency of township hospitals in China
Authors: Yang Sirui , Tian Shuanggui
Published: February 2021

This paper aims to analyze the distribution of health resources in township hospitals in China from 2015 to 2018, and to provide Suggestions for improving the utilization efficiency of health resources in township hospitals by selecting 29 provinces/autonomous regions/municipalities directly under the Central Government (except Beijing and Shanghai) as the research objects. DEA-BCC model and DEA-Malmquist index model were used to analyze the utilization efficiency of health resources allocation in China’s township health centers. Results are In 2018 in the country, 29 provinces, cities and towns and townships, the comprehensive technical efficiency, pure technical efficiency and scale efficiency of mean value of the allocation of health resources is respectively 0.585, 0.751, 0.802, including Tianjin, Jiangsu, Zhejiang, Qinghai, Ningxia and other regions with theirs comprehensive efficiency be 1, DEA, being relatively effective, the comprehensive efficiency of other 24 regions are less than 1, being weak DEA efficient or relatively invalid; From 2015 to 2018, the average total factor productivity index of township health centers in nationwide was 0.979, with an average decrease of 2.1%, the change index of technical efficiency decreased by 1.3%, and the technological progress index decreased by 0.9%. It comes to a conclusion the level of overall resource allocation efficiency of township health centers in China is low with an unbalanced overall resource allocation, and the total factor productivity as a whole shows a downward trend. It is necessary to rationally plan the distribution of health resources in township hospitals, to increase technical input, improve the overall level of medical services, and balance the differences among regions, update the management concept of township health center managers, promote smart medical treatment and fine management, strengthen financial support and policy preference, promote the technological progress of township hospitals, and improve the efficiency of health resources use.
Analysis on the coupling coordination degree between regional economy and old-age service—A case study of Sichuan province
Authors: Zou Yonghong , Zhang Yunheng
Published: February 2021

In the past decade, China’s aging problem has become increasingly prominent. Properly solving the social problems caused by an aging population bears on the overall interests of development. In this paper the regional economic level and pension service level in 2018 of all cities and prefectures in Sichuan province were calculated by using the coupling coordination degree model to calculate the coupling coordination degree of regional economy and pension service in Sichuan province in 2018. It is found that it is difficult to match the level of regional economy and old-age service in every city and state in Sichuan province. In terms of the level of regional economy, the level of old-age service and the coupling between them, there is no ideal situation in each city or state. Chengdu, which has the highest per ca-pita economic level, has only the ranks middle degree in the whole province in terms of per ca-pita endowment service resources.
Analysis of influencing factors and teaching reform of nuclear professional English based on logistic regression
Authors: Wang Jiamei , Ge Liangquan , Li Fei , Liu Xiaohui , Zeng Guoqiang , He Xingjie
Published: February 2021

Nuclear professional English course can help students of nuclear energy engineering major to understand the corresponding course content accurately and effectively while learning and researching frontier topics. This course has an important guiding role for their future development. This experiment obtained a series of data from students who had completed the course by questionnaire survey, and logistic regression algorithm was used to analyse the influencing factors of professional English test, then obtained the P value. The significant relationship between the independent variable and the dependent variable can be seen from the P value, thus reflecting the problems existing in the current course. The odds ratio (OR value) value of 0.030 is the biggest influence on the passing rate of the examination factor. In the questionnaire survey on the distribution of students’ intention, 96.25% of the students hope to have a new teaching mode, while 38.10% of the students do not take the initiative to read English books.
Grey correlation analysis of influencing factors on logistics transportation development in Guizhou province
Authors: Ma Yanling , Du Guifeng , Zheng Shaoheng , Shi Wentao
Published: February 2021

Transportation is an indispensable link in the logistics industry, so this paper uses the “gray correlation for analysis of the factors on the logistics transportation industry development in Guizhou Province” as the theme. Firstly, it briefly analyzes the development status and existing problems of the logistics transportation industry in Guizhou Province. Secondly, it mainly analyzes the highway freight volume, railway freight volume, and their main influencing factors through the gray correlation degree method. This paper tries to find out the main factors influencing logistics transportation in Guizhou Province and gives some suggestions based on these results.
English-to-Chinese negative phonetic transfer by speech recognition technology
Authors: Fu Zheng , Ma Yunfei
Published: February 2021

Phonetic transfer refers to the phenomenon that one’s L1 sound system can influence one’s L2 phonetics. Previous studies have investigated phonetic transfer in the area of articulation, but L1’s effects on L2 pronunciation measured by speech recognition technology have been under-researched. The purpose of the research is to address this issue by focusing on a sample of 151 US university students’ Chinese learning. Speech recognition technology (HDecode tool from HTKv3.4.1) was applied to measure and evaluate participants’ English and Chinese pronunciation. Based on the quantitative data, it’s examined whether participants has applied phonetic transfer to Chinese learning and what factors might influence the results of phonetic transfer. The results show that English-to-Chinese phonetic transfer occurs both positively and negatively. The extent of positive transfer is limited to a condition when English syllables and Chinese Pinyin have the same or similar sounds. However, the extent of negative transfer is significant when English syllables and Chinese Pinyin have different structures and sounds. Furthermore, the study investigates what types of Chinese Pinyin might cause English-to-Chinese negative transfer.
Evaluation of financial credit risk on pharmaceutical supply chain based on support vector machine
Authors: Liu Pingshan , Zeng Ziming
Published: February 2021

This paper selects the financial data of 80 listed pharmaceutical small and medium-sized enterprises (SMEs) to build a credit risk evaluation system, and compares the risk evaluation effect of Logistic model and support vector machine (SVM) model on the basis of factor analysis. The results show that the overall prediction accuracy of SVM model is 3.7% higher than that of Logistic model, and the first type of error rate is lower at 12.3%, which indicates the superiority and effectiveness of SVM model applied to the credit risk evaluation of the pharmaceutical industry under the supply chain finance (SCF) mode.
Evaluation of development potentials of regional tourism industry—Taking Hebei province as an example
Authors: Han Lihong , Su Yu
Published: February 2021

The thesis selects 18 evaluation indicators, adopts comprehensive analytic hierarchy and linear process and method to measure the development potential of tourism in Hebei Province. Taking the eastern provinces and regions of China as a comparative sample, the study found that the tourism industry in Hebei Province faces problems such as small scale, short chains, and low integration of resources. It also proposes countermeasures for potential improvement in terms of cultivating leading tourism companies, building tourism clusters, and promoting cultural and tourism integration.
Modeling and analysis of entrepreneurs’ behavior patterns under M&A
Authors: Luo Xiang
Published: February 2021

For enterprise mergers and acquisitions impact on entrepreneurs’ behavior patterns, in this paper, by establishing the model of transparent analysis of entrepreneur’s behavior pattern, combined with the observation visualization of data, by introducing the concept of mergers and acquisitions, dynamic research points out for more than one time above the entrepreneur behavior patterns, so as to make the information as much as possible close to the reality, and analysis provides quantitative reference for the entrepreneur behavior patterns.. On this basis, this paper draw lessons from Arkadiyv. Sakhaetov and Timothy B. folta (2014), and other scholars research model, entrepreneurial behavior change (mainly for the innovation behavior) brought from mergers and acquisitions, established the mathematical model, analyzed the resources and the conflict of two kinds of variables influence on it, and the relationship between each variable has been carried on the theoretical deduction, to some extent the analysis confirms the rationality of the enterprise merger.
Research on the evolution and prediction of Internet public opinion of major pandemics—Taking the COVID-19 pandemic as an example
Authors: Li Jing , Tang Huimin , Tan Hongjuan
Published: February 2021

To clarify the evolutionary law of major epidemics online public opinion is a prerequisite for targeted public opinion management. This article takes the Novel Coronavirus Pneumonias as an example and proposes a method to predict the hot spots of public opinion in epidemic. We firstly used the python web crawler technology to capture 58916 online public opinion data on the Novel Coronavirus Pneumonias of the Forum on ‘Making the Country Prosperous’ of People’s Daily Online from January to March 2020, and then used the jieba thesaurus for word segmentation and keyword extraction, and performed word frequency statistics to show the hot content of the new crown epidemic network public opinion, then through the keyword association rule mining to find out the hot topics, finally through the information entropy to evaluate the hot topics, and discover potential hot topics in the future.
EDP placement model based on Python data prediction
Authors: Sun Jiaxing , Wang Shuaibo , Wang Zhenghao , Ji Lixia
Published: February 2021

In recent years, with the adverse impact of rising sea level become increasingly significant, the issue on environmentally displaced persons (EDPs) and their unique culture has emerged into our vision. Resulting from adverse impact of rising sea level, the EDPs will not only lose their resident, but also will lose their unique culture. To effectively deal with the problem, we have established two models in python, aimed at predicting the growth of sea levels and the number of EDPs, and resettling the EDPs. In order to better optimize our model and reflect the significance of relevant factor indicators in the model, we conducted a sensitivity analysis and analyzed the sensitivity factors and rationality of the model in this paper. In the end, we come to a conclusion of the strength and weakness of our model. It will provide constructive opinions for the UN to promote the research on global climate change, protect the atmospheric environment, assist island countries and protect their unique culture.
A rotation learning-based colliding bodies optimization algorithm
Authors: Liu Hui , Liu Bing , Li Yong , Cui Shiqi
Published: February 2021

In this paper, we propose an enhancement algorithm of colliding bodies optimization based on rotation learning, named by RBL-CBO. Firstly, we use the rotation-based learning to search for any point in the rotating space by adjusting the rotation angle, thereby improving the ability of the proposed algorithm jump out of the local optimum. Next, we leverage the sinusoid-based nonlinear adjustment strategy to modify the control parameters to improve the calculation accuracy of the proposed algorithm. Finally, we process the cross-boundary object by the mirroring strategy. We conduct extensive experiments to test the performance of the proposed algorithm. In simulation-based experiments, 23 benchmark functions are used to compare RBL-CBO algorithm with the CBO, DE, BBO, PSO and GSA algorithm. The experimental results demonstrate that the proposed RBL-CBO algorithm is superior to the other comparison algorithms, while the RBL-CBO algorithm is at least 20% higher than the CBO algorithm in terms of the accuracy of solving function optimization problem.
The strategy of user experience design driven by big data
Authors: Xu Wenjuan
Published: February 2021

In this paper, the algorithm of late factor model is used to calculate the satisfaction degree of the target user to the product to be tested by using the known conditions obtained from big data, so as to design the most ideal user experience. Taking the user experience of app as an example, some known user experience values are hidden, and then the calculated values are calculated by the algorithm. Through the comparison of the two, the minimum relative error between the predicted user experience and the real value is only 0.617%, and the maximum is no more than 2.957%.
Classification of picture art style based on VGGNET
Authors: Yang Zihan
Published: February 2021

Aiming at the classification of various painting art styles in modern society, a method based on convolution neural network is proposed. The classification of various painting art styles is completed by using convolutional neural network. In VGG-19 (visual geometry) Based on Group-19 (Group-19) network, this paper proposes a picture style recognition algorithm based on visual geometry group 19 mixed transfer learning model. By using the feature extraction ability of convolution neural network, the convolution layer parameters of VGG-19 model on the source data are transferred to the target data model, and then the sparse automatic encoder SAE (sparse auto) is used Finally, softmax classifier is used to classify the artistic style of pictures. The artistic style of painting can be roughly divided into: characters, flowers and birds, landscape. The VGG-19 model is used to predict the three kinds of picture art styles, and then the proportion of the predicted results is compared with the actual naked eye proportion, and the conclusion that VGG-19 model is more suitable for classification of painting art styles is obtained.
Research on location and similar comments in point-of-interest recommendation system for users
Authors: Liu Yu , Wei Ning
Published: February 2021

By combining deep learning algorithms and potential probabilistic topic models, this paper proposes a new modeling strategy for individual users and constructs an effective point of interest recommendation system. First, Doc2vec is used to vectorize the user’s comments, and the Bow model is used to match the similarity of the points of interest, and then the potential probability model is used to cluster the positions of the points of interest. Finally, relying on the user’s historical comment data as a basis, the Top-K ranking recommendation scheme is obtained. The experimental results show that for large-scale location-based social network data sets, the algorithm in this paper has an ideal final effect on users’ personalized recommendations. The recommendation model for user location information and similar comment points of interest proposed in this paper is more subjectively and objectively in line with user behavior needs. On the premise of ensuring the real-time performance of recommendation, the model proposed in this paper effectively improves the accuracy of recommendation compared with traditional point-of-interest recommendation algorithms.
Application of BP neural network on quantitative evaluation of curriculum reform in advanced education-A case study of signal and system
Authors: Meng Lu , Gu Zhixing , Li Fei , Liu Xiaohui , Zeng Guoqiang , He Xingjie
Published: February 2021

In this paper, BP neural network model is used to study and analyse the teaching reform of signal and system course. Referring to the structure of BP neural network, the quality evaluation index system of signal and system course is established. On this basis, the factors influencing students’ examination results are predicted, and the questionnaire is designed and BP neural network is used for prediction. The mean square deviation of the result is 0.7788. Through the correlation coefficient analysis of the data obtained, we can get the major factors that affect students’ final scores. In view of this, the paper puts forward the direction and specific measures of teaching reform of this course.
Estimation of state of charge of lithium battery based on parameter identification of fractional order model
Authors: Shen H X , Li X , Chen L , Xun H H , Chen W X
Published: February 2021

Accurate estimation of state of charge of lithium battery is one of the important performance parameters for safe and reliable operation of lithium battery. A fractional order second-order Thevenin equivalent circuit model was proposed by based on the improvement of the traditional Thevenin equivalent circuit model for accurately estimating the state of charge of lithium-ion battery. In order to overcome the shortcomings of the least square method easily enter into local convergence or even unable to converge, an adaptive genetic algorithm is proposed to identify the parameters of lithium battery model, and global parameter identification is carried out to improve the convergence of the algorithm. Matlab simulation shows that the parameters of fractional order model of the second-order Thevenin equivalent circuit identified by adaptive genetic algorithm are better than those of integer order model identified by least square method. Combined with extended Kalman filter, the estimation of state of charge accuracy control is realized, with the accuracy error being within 1.61%.
Research on the driving mechanism of tourism regional brand development of tea production base based on the difference-in-difference method
Authors: Ye Yanghao , Wang Qing , Zhu Jie , Ma Wei , Huang Yajuan
Published: February 2021

A perfect tea production base can promote the development mechanism of regional tourism brand and improve the evaluation value of regional brand. A complete driving mechanism of regional tourism brand development of tea production base can promote the local economic development and the improvement of national economy. And with a certain scientific mathematical model to evaluate the role of this mechanism is the necessary content of the development of this mechanism. As a result, this article adopts the Difference-inDifference to analysis tea production base of regional brand, and study on the use of Difference-in-Difference of the various influence factors on the role of the output value. It gives a series of comparison of the predictive value and the actual value, and found the problems about tea base and related regional brand, and put forward the corresponding opinions and suggestions.
Game theory-oriented research and simulation analysis of housekeeping credit
Authors: Ma Qian
Published: February 2021

The paper studies credibility issues in the housekeeping industry based on the aspect of the theory of game. Domestic service personnel cut work and reduce time, business capabilities are not up to standard, and domestic enterprise supervision is not in place, causing consumers’ dissatisfaction. This article points out that housekeeping companies can strengthen the relationship with employees and encourage employees to choose integrity; housekeeping service personnel need to improve their self-service capabilities; at the same time, consumers need to respond to the situation based on facts. This can better maintain the integrity of the housekeeping industry and increase consumer satisfaction. The game results show that when the housekeeping enterprise strengthens supervision, the housekeeping service staff will tend to operate with integrity, and when the housekeeping service personnel are honest, the probability of consumer complaints will also decrease. Finally, this article uses Matlab to simulate the integrity of the housekeeping industry based on games for the first time, allowing us to more clearly understand the relationship between different factors and the decision-making probability of each party to verify the game results.
Research on the information sharing in the linkage between manufacturing and logistics industry based on blockchain
Authors: Li Qiong , Wang Lei
Published: February 2021

In order to promote the linkage and integration of manufacturing industry and logistics industry, we should not only pay attention to the convergence of movement time and function among industries, but also consider the orderly combination of industrial subsystems in time, space or function. At present, due to the lack of trust between industries, seeking the maximization of their own interests and other reasons, the information sharing between industries can not be realized. The industrial linkage with many advantages not only fails to operate efficiently, but aggravates the inefficient operation. In this paper, information sharing system in the linkage between manufacturing and logistics industry based on blockchain is proposed, and a detailed sharing model is given on such basis. With the help of blockchain, we hope to break the information flow barrier in the linkage between manufacturing and logistics, realize the efficient coordination and management of the linkage process between manufacturing and logistics, and improve the modernization level of China’s industrial chain and supply chain.
Research on risk assessment of clients before loan based on decision tree algorithm
Authors: Wang Yongkai , Duan Ditao
Published: February 2021

How to transform credit funds into the endogenous development capacity of the market and promote the sustainable development of the economy, the first consideration is how to conduct risk management. How to do a good job in risk assessment has gradually become an important part of current financial risk management. This paper uses the decision tree algorithm to conduct a research on the risk assessment of customers before loan. After the model verification of the cross-validation method and the random validation method, the results show that the risk estimation accuracy of the decision tree algorithm reaches 81.2% and 83.6%, which proves that this model can be an effective reference for pre-loan risk assessment.
Research on classification management of car dealers in used car platform based on sd simulation model
Authors: Qu Ying , Yang Na , Sun Zhuangzhi
Published: February 2021

In recent years, the used car e-commerce industry has risen rapidly, at present, the number of car dealers on the used car e-commerce platform is large and scattered, and car dealer management has become a mainstream issue. Based on this question, this article selects 40 car dealer data on the Y used car platform, and classifies them on the three dimensions of car dealers’ relative scale, integrity, and professionalism. Based on the classification results of car dealers, strategies are proposed, and system dynamics models of the relationship between each strategy and revenue are constructed respectively. Assign initial values or initial functions to each variable to obtain simulation results, and apply the simulation results to the differentiated management of car dealers’ classification. Targeted strategies and scopes for different types of car dealers are proposed, management goals for all types of car dealers in harsh environments are put forward, and it is suggested for the establishment of a dynamic tracking system based on the transaction process.
Comparison between the influence of mechanical vibration and junction temperature rise originated bond wires detachment on the characteristics of IGBT module
Authors: Teng Yiran , Wang Liancheng
Published: February 2021

As the main device in a power system, the IGBT module works in the frequent power cycle for a long time, resulting to the fluctuation of junction temperature and heavy mechanical stress loading. These two factors threaten the reliability of bond wires and the IGBT module significantly. This study aimed at improving the reliability of the semiconductor device. IGBT dual bridge module was used as the primary research object, establishing the relationship between the bond wires detachment and resistance. MATLAB was used for mathematical analysis to determine the quantitative influence of the two conditions on several static characteristics of the IGBT module. Our study provides more samples and references to monitoring the IGBT bond wires and demonstrates the difference and similarity of these two factors.
A digital multi-informational stochastic dynamic medical decision-making model and the application
Authors: Xiao Xiaonan
Published: February 2021

As we all know, big data and intelligent computing have been widely used in information science, life science, computer science and intelligent control, intelligent robots, vehicle networking, space technology, marine development and other fields, especially in the future life science and medical field. The results of the discussion show that the intersection and fusion research of big data analysis, mathematics, computational science and life science in the 21st century is getting more tightly. We can understand life science from a new perspective by using big data and Intelligent Computing technology. Thus a new research model is being used to shift the application of mathematics from non-life to life. Furthermore, it greatly strengthens the mutual penetration and connection of big data analysis, mathematics, computational science and life science. It also greatly accelerates the research process of modern life science.
Effect of different pretreatment methods on pore structure of activated carbon
Authors: Yang H , Liu J , Pang B , Chi J
Published: February 2021

The effects of pretreatment on the pore structure of activated carbon were studied by the methods of water washing, acid washing, alkali washing and a combination of acid washing and alkali washing. It can be known from experiments that water washing has a cleaning effect on activated carbon, while acid washing helps to open the micropores of activated carbon and improve its porosity. Sodium hydroxide solution has an etching effect on activated carbon, which can increase the porosity and average particle size of activated carbon. All the pretreatment methods in this article can improve the adsorption capacity of activated carbon for nitrogen, and the pretreatment by dilute hydrochloric acid is tested to be the most effective.
Research on network vulnerability assessment based on attack graph and security metrics
Authors: Ma Wanzhi
Published: February 2021

In recent years, the information security environment is undergoing great changes. On one hand, with the development of technology and the advancement of network integration, network involves in a larger and larger scale, and its structure is becoming more and more complex. On the other hand, the development of attack technology has also taken a qualitative leap. The ability of violent cracking and the scale of botnets are no longer the primary factors that determine the attack effect. On the contrary, attackers are more likely to adopt information-driven complex combination attacks with clear attack targets. These changes have brought great challenges to network security defense. Therefore, from the perspective of building a secure network environment, this paper studies network vulnerability assessment in the field of computer network security, and proposes a method of network vulnerability assessment based on attack graph and security metrics. This method models and constructs the attack graph for the possible network attack behaviors. Besides, taking it as the analysis model, the risk assessment technology is taken to determine the indicators and calculating methods of security metrics so as to realize the evaluation of network vulnerability. Finally, the discussion was conducted based on the results, and a follow-up study was suggested.
Network traffic detection based on part matching and section evolution of immune elements
Authors: Liu Caiming , Zhang Yan , Xie Chunming , Wang Deming , Li Zhonghua
Published: February 2021

Immune algorithms can improve the self-adaptability for network traffic detection. Classical immune algorithms dynamically evolve and match the whole content of immune elements. However, most features of network traffic are isomeric to each other. The general matching and evolution for the whole immune elements slow down the process of self-adaptability to an extent and reduce the accuracy of immune elements’ evolution. In this paper, available network data features are analysed for the network traffic detection. The section simulation method in the immune system is studied by creating a math method for part matching of immune elements which can evolve in parts. The process of section evolution for immune elements is inferred. A detection method for recognizing anomaly network traffic is proposed. Simulation experiments show that the self-adaptability of the proposed method to the real network environment is superior to that of traditional immune algorithms.
Slowdown and reversal of terrestrial near-surface wind speed and its future changes over eastern China
Authors: Zha Jinlin , Shen Cheng , Zhao Deming , Wu Jian , Fan Wenxuan
Published: February 2021

A recovery of near-surface wind speed (SWS) in the last decade has been reported over China; nevertheless, the contributions of large-scale ocean-atmosphere circulations (LOACs) to the SWS changes are rarely investigated. In this study, the turning point (TP) of the terrestrial stilling was validated over eastern China for 1979–2017. Furthermore, a forward stepwise regression algorithm was used to assess the contribution of LOACs to SWS changes. The results revealed that the TP of the SWS reversal occurred in approximately 2011 during the study period. Mean annual and seasonal SWSs exhibited decreases before the TP, with the largest decrease in spring (–0.134 ± 0.014 m s−1 decade−1), while SWSs increased after the TP, most strongly in autumn (0.377 ± 0.053 m s−1 decade−1). The SWS decrease before the TP and increase after the TP were caused by the decreasing and increasing frequencies of strong windy days (>75th percentile of SWS), respectively. The effects of LOACs on the long-term changes of SWS were pronounced. The contributions of LOACs to the decreasing and increasing trends of SWSs were >60.0%, with the exception of autumn. The projected SWSs exhibited increases in the near-term (2021–2040) for the low-emission scenarios (e.g. Shared Socioeconomic Pathway 245). For the mid-term and long-term projections, the SWSs still displayed a downward trend, which was mainly attributed to the reduction of strong windy days. Consequently, the present SWS recovery in the recent decade may be only expected to last for a short amount of time before winds start decreasing again.
Z2×Z2

-graded parastatistics in multiparticle quantum Hamiltonians
Authors: Toppan Francesco
Published: February 2021

The recent surge of interest in

Z

2

×

Z

2

-graded invariant mechanics poses the challenge of understanding the physical consequences of a

Z

2

×

Z

2

-graded symmetry. In this paper it is shown that non-trivial physics can be detected in the multiparticle sector of a theory, being induced by the

Z

2

×

Z

2

-graded parastatistics obeyed by the particles. The toy model of the

N
=
4

supersymmetric/

Z

2

×

Z

2

-graded oscillator is used. In this set-up the one-particle energy levels and their degenerations are the same for both supersymmetric and

Z

2

×

Z

2

-graded versions. Nevertheless, in the multiparticle sector, a measurement of an observable operator on suitable states can discriminate whether the system under consideration is composed by ordinary bosons/fermions or by

Z

2

×

Z

2

-graded particles. Therefore,

Z

2

×

Z

2

-graded mechanics has experimentally testable consequences. Furthermore, the

Z

2

×

Z

2

-grading constrains the observables to obey a superselection rule. As a technical tool, the multiparticle sector is encoded in the coproduct of a Hopf algebra defined on a Universal enveloping algebra of a graded Lie superalgebra with a braided tensor product.
The Noise Level Analysis of Hybrid of Passenger-Freight Railway based on On-line Automatic Monitoring System
Authors: Xuan Xiao-mei
Published: February 2021

A large amount of data is accumulated from the German railway noise on-line monitoring system, which is online for the first time since 2019. In this paper, the monitoring system is introduced simply. By collating and analysing the monitoring data of the last year, overall noise level of current hybrid of passenger-freight railway in Germany and noise level of each measuring station is given for the first time respectively. Finally it is pointed out that the flow of freight is the key factor affecting the noise level of each station. It provides a basis for the follow-up research on the optimization of train traffic volume based on noise level.
Numerical simulation of shield underneath passing a river in shallow water-rich sand layer
Authors: He Qiang , Jian Gong , Ning Wengxiang
Published: February 2021

In view of the situation that the tunnel of Hangzhou Metro Line 6 underneath passed the Yongjiu River, the influences of the construction of the new double-line tunnel on the seepage field and stress field of the shallow buried water-rich sand layer were analyzed, and the ground reinforcement measures to ensure the safety of shield construction was proposed. The results show that: (1) After the tunnel is excavated, the seepage field gradually returns to the original seepage field, but there is still a slight disturbance in the seepage field within 30 m below the arch bottom; (2) The maximum displacement and maximum principal stress of the tunnel model are located at the bottom of the arch; (3) It is necessary to fully consider the conditions of the river, control the settlement and cracking of the foundation, and prevent the occurrence of gushing.
The characteristics purifying formaldehyde of air purification system for haze-absorbing wall
Authors: Ji Kai , Qiao Chunzhen , Zhang Zhen , Li Zhiyong
Published: February 2021

Formaldehyde in indoor air is very harmful to human body. In this paper, a haze-absorbing wall air purification system was constructed based on assembly buildings. The experimental device was set up with bulk activated carbon as adsorption material. The purification performance for formaldehyde of the system was studied experimentally. The effects of air velocity and air passage size on formaldehyde purification efficiency were analysed. It was found that the haze-absorbing wall system can effectively purify the formaldehyde in the air. After the experiment, the purification efficiency of the system to the formaldehyde is more than 90% under all conditions of the experiment. With the increase of inlet air velocity, the purification efficiency of haze-absorbing wall to formaldehyde increases first and then decreases, and the peak value appears when the air velocity is 0.4m/s. When the air passage is 20cm and the air velocity is 0.4m/s, the haze-absorbing wall has the best purification performance for formaldehyde.
Experimental study on anti-eroding effect of slope protected by degradable geocell
Authors: De-yong Wang , Jun-long Hu , Jing Wang , Qing-jun Zun
Published: February 2021

In order to study the anti-erosion mechanism of the new degradable geocell which is designed for slope protection and the influence of rainfall intensity and materials on its anti-erosion performance, based on the laboratory simulated rainfall tests, the erosion damage mode and water erosion of slope under the protection of linen fiber and bamboo fiber braided geocell under different rainfall intensities are studied by taking photos of the slope surface and collecting and weighing the erosion material. The results show that the new type of degradable geocell for slope protection can effectively prevent the development of slope gullies, and the slope damage is mainly splash erosion and sheet erosion. The use of linen fiber and bamboo fiber braided geocell can effectively reduce the maximum water erosion by more than 10% and the accumulated water erosion by more than 20%. With the increase of rainfall intensity, the maximum water erosion and accumulated water erosion are increased, but the increase range is 20% ∼ 33% and 35% ∼ 57% lower than that of bare slope, respectively. The results show that the anti-erosion ability of bamboo fiber braided geocell is slightly better than that of linen fiber braided geocell, and the ratio of maximum water erosion and accumulated water erosion reduced is slightly higher than that of linen fiber braided geocell.
Research Of EMC Immunity In Mine Switches*
Authors: Hao Zhang Jin , Min Chen
Published: February 2021

According to serious environment in the coal mine, the safety monitoring system of communication equipment (KJJ137 Switch Of Intrinsically safe flame-proof in mine) susceptible to surge, the group of pulse, and the problem of various kinds of electromagnetic interference on the switches EMC research. The study mainly from the power supply isolation and anti-interference, output signal safety barrier, the whole machine technology research aspects such as antistatic treatment. Experiments show that KJJ137 switches through the power surge immunity experiment, the output signal of pulse noise immunity, electrostatic immunity experiment machine. Various EMC experiment achieves level 4 standard, beyond the coal mine safety regulations require all kinds of interference rejection level 3 standards, make KJJ137 Switch Of Intrinsically safe flame-proof in mine, suitable for all kinds of bad environment of coal mine, ensures the mine safety monitoring system is right.
A review of MOFs and its derivatives for lithium ion battery anodes
Authors: Chen Weichen , Liu Sen , Shen Jialin
Published: February 2021

With the development of electric vehicles and clean energy, the demand for lithium-ion batteries (LIBs) has increased significantly in recent decades. As traditional anode materials can only basically meet the requirements of current consumer electronics products, metal-organic framework (MOFs) material and its derivatives attract great attention to become a potential substitute with advanced performance. Pristine MOFs material has greater development potential in terms of high energy density anode. MOFs-derived materials, including porous carbon material, metal oxide and composite material, could exhibit improved electrochemical behaviours and better stability. This article introduces the pristine MOFs and MOFs-derived materials as an anode in lithium-ion batteries, as well as their modification methods that have been widely studied at the current stage. In the end, we discussed the future development trends of various MOFs materials.
Application Analysis of Low Density Parity Check Code for Wireless Network
Authors: Fang Peixiao
Published: February 2021

The Low Density Parity Check (LDPC) codes use an iterative decoding algorithm. The advantages of this algorithm are: the algorithm is completely parallel, so the decoding speed is extremely high; the complexity of the decoding algorithm is low, and the amount of calculation will not increase sharply due to the increase of the code length. It is incomparable with convolutional code and other group codes. A good compromise can be obtained in complexity and performance. Even for the same decoding algorithm, different iteration times can be selected according to channel conditions and system requirements, which is very flexible. In this paper, we review the construction and decoding of LDPC, analyze their advantages and provide their direction of future works.
Application of An Improved Artificial Bee Colony Algorithm
Authors: Zhang Pinghua , Liu Yun
Published: February 2021

An improved artificial bee colony algorithm which overcome the shortcomings, including slow convergence speed, easily falling into local optimum value, Mechanism of other bionic intelligent optimization algorithms is put forward. The algorithm with number theory of uniform distribution of good point set, first established algorithm initialization model, in order to maintain the diversity of the population; Then, the location is updated iteratively to maintain the diversity of the population and prevent the algorithm from falling into the local optimum. Finally, the seven standard test functions are selected to carry out the experiment and simulation. The results show that compared with the ABC algorithm, GABC algorithm and so on. The algorithm (GCABC) the convergence speed and accuracy have been improved significantly, and to improve the overall searching ability, effectively avoid the population into a local optimum, to solve the problem of multi-modal optimization.
Smart Grid Planning Analysis Considering Multiple Renewable Energy Resources and Energy Storage Systems of User Side
Authors: Wang Ya-lei , Sang Zi-xia , Huang Jia-qi , Yan Jiong , Wang Si-cong , He Ji-feng , Yang Dong-jun , Du Zhi
Published: February 2021

The integration of renewable energy resources and storage systems makes power delivery route reconstruction after the N-1 fault taking place more complicated. To solve the calculation problem of smart grid power transfer capability, the time-varying characteristics of renewable energy resources and storage systems were analyzed. Based on this, an N-1 recovery model was proposed on the base of the transfer capability index. Through making the calculation formula of the transfer capability index linear and adopting the artificial intelligence (AI) optimal algorithm based on topology simplification, the operation modes of the power grid, new energy generations and new energy storage systems can be optimized and the maximum power transfer capability of the grid can be achieved.
Differential Clustering Analysis of Power Grid Green Development Based on Hierarchical Cluster Method
Authors: Li Zhuonan , Jin Yanming , Zhao Jiujin , Tan Xue , Zhang Dongliang , Wei Jia
Published: February 2021

Under the call of ecological civilization construction, the internal provincial evaluation of power companies has also been gradually advanced. Taking into account the vast territory of my country, the large-scale power system, and the complex structure, power grids at all levels have differences in areas such as jurisdiction area, climatic conditions, power grid scale, and technical level. Under this premise, if a reasonable index system and evaluation method are not formulated, and a unified evaluation index system is adopted for each region, it may not be possible to achieve a relatively fair evaluation of the regional power grid. Under this condition, it is difficult to exert the guidance of the evaluation method on the green development of the power grid. In this paper, taking into account the differences that exist between all levels of power grids in our country, the hierarchical cluster method is used to cluster them.
Design and research of hydraulic screed test bench
Authors: Wang Zhe , Jing Xiajie , Xing Keli
Published: February 2021

In order to meet the requirements of the performance test of the screed, a hydraulic test bench for screed is designed, which realizes the action of the screed. On this basis, the test bench measurement and control software based on LabVIEW is developed, it completes the tests and data analysis of screed. The test results show that the system has perfect functions and meets the requirements of screed test.
Research on the restoring force model of an assembled beam-column joint with ring-grooved rivets
Authors: Wei Zhai , Wen Jiang , Guangbin Xu , Junfen Yang , Kai Qu , Wenzhe Zhang
Published: February 2021

To establish the restoring force model of a kind of prefabricated beam-column joints with ring-grooved bolts, the dimensionless skeleton curves and the stiffness degradation law of the joint are obtained by the regression analysis. Therein, the skeleton curves are a trilinear model divided into elastic, reinforcing and degradation stages. The calculated skeleton curves and restoring force model are in good agreement with the experimental skeleton and hysteretic curves. The result shows the restoring model can express the stiffness degradation characteristics of the joint well, as well as provide a theoretical basis for the nonlinear dynamic analysis of structures.
Finite element analysis of typical fastener type full hall steel tubular scaffolds
Authors: Chen Fan , Wan Wendong , Fan Yibo , Qi Xiaohai
Published: February 2021

Based on fastener type full steel tubular scaffolds of power transmission and transformation project, this paper discusses in detail the establishment process of three-dimensional finite element model, including steel pipes, semi-rigid connections, mass of fasteners and boundary conditions. The stability of scaffold is analyzed and the failure mode of instability and ultimate bearing capacity are calculated. Then the static analysis is carried out to analyze the displacement and axial force response of the scaffold during construction, and finally the measures to strengthen the stability and safety of the scaffolds are given.
Research on Statistics of Passenger Transfer Flow at Urban Rail Transit Station
Authors: Zhu Kunkun , Li Qiangqiang
Published: February 2021

With the continuous advancement of urbanization, the urban rail transit network continues to be dense, and the number of transfer stations increases, resulting in an increase in the flow of interchange passengers. This paper introduces pedestrian detection into the statistics to realize real-time statistics of passenger transfer flow. This article first determines the research scenario and simplifies the transfer path. Then, the pedestrian detection model is constructed by using the histogram of gradient directions (HOG) and support vector machine (SVM), and combined with the continuous adaptive mean shift algorithm (CamShift) to design and realize the transfer path passenger flow statistics. Finally, the algorithm was trained and tested through the samples obtained at Xi’an Xiaozhai subway station, and the test results obtained have high accuracy.