CONVERTER

Research on the Construction of College Music Teaching Cloud Platform Based on Data Mining Technology

2021-11-19T07:47:15+00:00

As far as music teaching is concerned, music appreciation class can be said to be an effective means to arouse students' interest in music in music teaching, and to make this interest more intense and unsustainable. Through the combination of network information and computer application, the cloud platform obtains powerful learning information and corresponding materials by sharing data information, and displays them to readers intuitively by means of pictures or videos, so that readers can understand the knowledge they want to know more clearly, thus improving the learning quality. Using data mining technology, it is hoped that the recognition of music style will become a practical work. There is no doubt that the development of cloud computing and data mining technology has opened up a new way for contemporary education and teaching. This paper makes effective use of information means such as database and education cloud, and deeply explores the music curriculum model based on cloud computing and data mining technology, so as to provide better information services for schools, teachers and students.

Research on Sports Performance Prediction Based on Genetic Neural Network Algorithm

2021-11-19T07:47:54+00:00

The accurate prediction of Physical Education Achievement provides a reliable analysis basis for the establishment of physical education teaching objectives, and a physical education achievement prediction method based on genetic neural network is proposed. The model is based on neural network. Particle swarm optimization algorithm updates particle position and speed through individual extreme value and global extreme value, and optimizes the variance and weight of neural network to enhance the accuracy of sports performance predicted by neural network. Compared with the traditional methods, the convergence speed of this method is faster, the error is lower, the prediction result of sports performance is more accurate, and has high anti noise performance and practicability.

Asymptotic Analysis of Solutions of Higher Order Differential Equations and Higher Order Difference Equations

2021-11-19T07:47:55+00:00

The periodicity and vibration of the almost periodic solutions of difference equations and higher-order differential equations are also helpful to the establishment of today's ecological mathematical models, which have made important theoretical contributions to the analysis and discussion of the current severe environmental problems and achieved rich academic achievements. The boundedness of solutions of higher-order differential equations was first proposed in the study of biology, ecology, physiology, physics and neural networks, and it is a very important field in the study of differential equations. Difference equation is also called discrete dynamical system, and it is a powerful mathematical tool in the fields of science, technology and economy. It is one of the important means to study higher-order differential equations. Based on the relevant theoretical knowledge of difference equations and higher-order differential equations, under the premise of exponential dichotomy, using the definition and basic properties of asymptotic almost periodic sequence and the principle of contractive mapping, this paper proves the existence of asymptotic almost periodic solutions for a class of Quasilinear Difference Equations.

Integration and Innovation of Enterprise Marketing Data Management Based on Collaborative Filtering Algorithm in The Era of Big Data

2021-11-19T07:47:58+00:00

At present, due to the rapid development of the Internet, all walks of life are facing enormous challenges. How to attract more customers under the tremendous impact of the Internet is the most important issue for enterprises. Enterprise marketing is a key link in enterprise development. Only by doing a good job in enterprise marketing management can we create ideal conditions for enterprise development, and it is also an important condition for enterprises to enhance their own market competitiveness. For enterprise marketing management, big data impacts the marketing management system of enterprises, and increasingly presents commercial value that cannot be ignored. The application of big data in marketing management can promote the innovation of marketing management based on the background of big data, help enterprises to improve marketing strategies, further tap potential customers, and enhance marketing effects, so as to realize the double improvement of corporate brand influence and economic benefits. In the era of big data, this paper studies and analyzes enterprise marketing data management based on collaborative filtering algorithm.

Construction and Practice of College Students' Innovation and Entrepreneurship Education Platform Based on e-Commerce Platform

2021-11-19T07:47:59+00:00

Entrepreneurship education among college students is a part of quality education for college students, a long-term plan to broaden students' employment opportunities and build a national innovation system, as well as an expansion and supplement of higher education functions. In order to ensure that college students have a good start in innovation and entrepreneurship, universities provide necessary support to enhance their awareness of innovation and entrepreneurship, enhance their innovation and entrepreneurship ability, and accumulate innovation and entrepreneurship experience. The construction of campus e-commerce innovation and entrepreneurship platform is an important link to systematically cultivate college students' innovation and entrepreneurship ability. Taking the platform of college students' innovation and entrepreneurship education based on e-commerce platform as an example, this paper discusses the practical platform mode of integrating innovation and entrepreneurship from specialty, which not only improves students' vocational skills, but also improves students' comprehensive ability of innovation and entrepreneurship, and has certain reference and guiding significance.

Power Consumption Information Acquisition Terminal Based on Beidou Research and Application of Remote Communication Unit

2021-11-19T07:59:52+00:00

With the successful networking and all-round application of the National Beidou Satellite Communication System, an automatic meter-reading system based on Beidou satellite communication technology is proposed, as well as the establishment of system software and hardware platform. In order to realize the application of Beidou communication system in power centralized reading system, The urgent task is to solve the function realization of the remote communication unit of the acquisition terminal, including hardware structure design, communication protocol conversion and communication transmission, and conforming to the existing communication protocols and standards. The difficulty of this subject lies in adding Beidou communication module into the solidified structure of the existing communication unit, to achieve the synchronous transmission of the collected data and Beidou position information. Through processing in accordance with the protocol, the electric energy data of the collected terminal and Beidou information can be uploaded to the main station of the system, and the real-time safe and reliable requirements can be met.

Research and Application of Remote Centralized Reading Technology of Electric Power Metering Based on Beidou Space-Time Quantity

2021-11-19T07:59:56+00:00

Under the background that Beidou satellite communication system in China has been networked and commercialized, A remote centralized reading system of electric power metering based on Beidou space-time quantity is proposed in this article, with the establishment of the software and hardware platform of the system. The remote centralized reading system of power metering based on Beidou space-time quantity researched and developed by this research and development, combining Beidou satellite system with intelligent distribution network automatic operation management, and putting forward the research and development technical route and specific implementation scheme which focuses on the key function points of Beidou positioning. The test results show that the data transmission of the system is fast, stable and reliable, and remote real-time monitoring and data acquisition can be achieved.

Improved Model of Throughput Prediction and Freight Rate Game Decision of Container Port Group

2021-11-19T07:59:58+00:00

Given the fact that vicious internal competition and the epidemic have led to a decline in operating income, how to improve the total operating income of container port group has become an important issue for decision makers of container port group. In order to increase the total operating revenue of port group and suppress the vicious price competition within the port group, a second-order forecasting game model is proposed, which is based on Improved GM (1,1) model, logit model and Bertrand Nash equilibrium model. Firstly, the GM (1,1) model is improved by using the three-point smoothing method to predict the future container throughput; secondly, the logit model is used to simulate the choice behavior of container freighter to container port according to the container port utility; finally, the non-cooperative game and cooperative game revenue of container port group are calculated by using the Bertrand Nash equilibrium model. The results show that the prediction accuracy of container throughput is 0.68% higher than before, and the total operating revenue of cooperative game and non-cooperative game is 52.3% and 35.5% higher than the original revenue, respectively. The research shows that the second-order prediction game model can make a more accurate prediction of the container throughput, and can effectively improve the operating income of the container port group, which lays a theoretical foundation for the managers of the port group to formulate a reasonable freight rate.

An Empirical Analysis of the Impact of Executive Equity Incentives on Enterprise Performance Based on the Moderating Effect of Occupational Background Heterogeneity

2021-11-19T08:00:00+00:00

As the core executive force of corporate governance, the degree of human capital heterogeneity of senior executives has an important impact on corporate operating performance. This paper uses China’s 2011-2019 A-share non-financial listed companies as a research sample to conduct an empirical test on the relationship between the intensity of executive equity incentives and corporate performance, and examines the relationship between the heterogeneity of the senior management team’s professional background and the relationship between the two The regulation effect of the slab has been further verified. Research shows that there is a significant positive correlation between the intensity of executive equity incentives and corporate performance; the heterogeneity of the professional background of the executive team has a significant positive moderating effect on the relationship between equity incentive intensity and corporate performance

Arduino Primarily Based Robotic Household Appliance

2021-11-27T11:03:13+00:00

In a contemporary state of affairs, we have a tendency to all square measure therefore busy with our work that we do not have the time for cleanup our house properly. The answer to the matter is incredibly straightforward, you only ought to purchase a domestic household appliance mechanism such as i-robot roomba which can clean your house with the press of a button. However such industrial merchandise share one common issue, that is price. So today, we can create a simple Floor cleaner mechanism, that isn't solely straightforward to make but prices terribly less compared to commercial merchandise out there within the market. Frequent readers would possibly keep in mind our Arduino Vacuum cleanup mechanism that we have a tendency to Engineer an extended time past, however that one was terribly large and required an enormous accumulator to maneuver around. The new Arduino Vacuum Cleaner should be compact and a lot of sensible. On high of that, this mechanism can have supersonic sensing elements like ultrasonic sensor, IR proximity sensor. The supersonic sensing element can enable the mechanism to avoid obstacles so it will move freely till the space is correctly cleansed, and therefore the proximity sensing element can facilitate it to avoid falling from stairs.

Construction and Improvement of Urban Greening Space in Old Town Core Area Based on GIS Spatial Analysis Technology

2021-12-13T18:28:11+00:00

As China's urbanization process continues to accelerate, the land for urban construction is becoming increasingly tight, green spaces in urban landscapes are continuously eroded, and the ecological patches are seriously fragmented. It seems relevant to use community greenways as a platform for the path of urban ecological space integration and restoration. Taking the core area of the old city of Hefei as an example, the study applies the idea of eco-city as a guide, applies GIS spatial analysis technology, and derives a community greenway network based on the minimum landscape resistance value by selecting the resources of patches in the core area of the old city and calculating the landscape resistance value of urban land to improve the ecological quality of the city.

Study on Learning Status Information in Education Based on Line-of-Sight Tracking in Artificial Intelligence Environment

2021-12-13T18:50:31+00:00

Combining with education is one of the hot research directions of artificial intelligence, and acquiring learning state information is an all-important link in intelligent education. Vision changes can directly or indirectly reflect psychological and state changes, so eye gaze tracking plays a crucial role in intelligent education. First of all, the development of intelligent education is introduced. Secondly, the development, current research work, and research status of eye gaze tracking technologyare summarized and analyzed, and its related application and research work in the field of education in recent three years are summarized. Finally, the development trend of eye gaze tracking technology in the educational field is summarized and prospected.

An Empirical Study on Corpus Based College Translation Teaching Model

2021-12-13T18:51:44+00:00

The comprehensive development of information technology has brought countries closer to each other, and language translation has become one of the important forms of communication. Since the 1990s, corpus has been more and more widely used based on the development of computer technology, and its role in translation teaching has been gradually highlighted. This paper will conduct an empirical study of university teaching models from the perspective of the discourse function of the corpus, and conduct big data mining from the teaching process, conditions and environment to identify influential teaching models, analyze the effective teaching methods, and improve the quality of university translation teaching.

Effect of HIIT Intervention on Liver Morphology and Liver Triglycerides in Rats Aged 24 Weeks

2021-12-13T18:52:49+00:00

Objective:Observing the effects of HIIT intervention on liver morphology and liver triglycerides in naturally aged rats. Methods: 8 month old SPF rats(n=70)were randomly divided into control group (C) and HIIT group (H). Group H exercised alternately with 70% -90% -50% -70% VO2max intensity for 46 minutes / day, 3 days / week, and lasted 24 weeks. Rat liver triglyceride content was tested and liver sections were analyzed. Results: There was a difference in the level of triglycerides between the baseline level of group H and 24 weeks (P = 0.0000); there was no significant difference between the intrahepatic triglycerides of group H rats and that of group C ( P> 0.05). The liver triglyceride content of rats in groups C and H showed a steady downward trend. Conclusion: The 24-week HIIT training intervention has a positive effect on the recovery of histological morphology in the liver of naturally aged rats; 24 weeks of HIIT training intervention will not affect the liver triglyceride content of naturally aging rats.

Research on Risk Analysis of Enterprise Financial Management Based on AHP and Fuzzy Multiple Attribute Decision Method

2021-12-13T18:54:07+00:00

In this paper, taking takes the multiple attribute decision making of enterprise financial management risk as the research object, and according to the characteristic that it is difficult to depict the risks in the financial risk management decision problemsand there is a certain degree of fuzziness, the theory of fuzzy multiple attribute decision making (FMADM) was proposed, and it has applicability when applied to the enterprise financial risk decision-making problems. Then an indicator weighting method based on the attribute hierarchy analytic method and a FMADM method based on projection were established.

Research on the Construction of General Competency Model for National Defense Science and Technology Talents--From the Perspective of Talent Training in National Defense Science and Technology Universities

2021-12-13T18:56:06+00:00

As the main force to promote the development of national defense science and technology industry with Chinese characteristics, the talents of national defense science and technology urgently need to be fully selected, evaluated and cultivated. Based on the competency theoretical model, this paper proposes hypotheses via research methods such as literature survey method, expert interview method and questionnaire survey method as well as make survey on defense science and technology enterprises and research institutes through questionnaires. Through data processing and verification of 462 valid questionnaires, this study constructs the general competency model of national defense science and technology talents in 5 dimensions and 28 items, so as to provide reference for the talent training of national defense science and technology universities.

Effect of Ce Loading on the Reduction of NOx with NH3 over Fe-Beta Catalyst

2021-12-14T09:20:22+00:00

Fe-Beta catalysts play a significant part in denitration performance for NH₃- SCR, and this paper focuses on the effect of Fe-Beta catalysts with different Ce loading on the conversion of NO_x.After the catalyst has been prepared by the impregnation method, the catalyst active component has been tested by passing within reaction gas and the gas component concentration at the outlet end was measured by FTIR. It was found that a proper loading of Ce can enhance the conversion rate of NO_x of the catalyst for improving its low temperature activity. And NO conversion over Ce-Fe-Beta catalyst could reach 100%. The catalyst performance was evaluated with XRD, BET, XPS, NH₃-TPD, H₂-TPR. It could be analyzed that the Fe-Beta performance of NO_x removal decreased when the Ce loading was too high because the catalyst active sites were covered by active component, which reduced the catalyst activity.

Discussion on the Development of New Ophthalmic Dosage Forms of Ganciclovir and Its Pre-Development Evaluation

2021-12-14T09:30:32+00:00

To explore the new ophthalmic dosage forms of ganciclovir which are suitable for development, and to evaluate its physical and chemical experiments before development. The absorption of drugs in the eye was discussed, and the suitable dosage forms that can increase the solubility of drugs, prolong the retention time and increase the corneal transmittance of drugs were discussed. The physical and chemical properties needed for drug development were evaluated, and the methods for determining ganciclovir by ultraviolet spectrophotometry were established. The ultraviolet methods for determining the solubility and oil/water partition coefficient of ganciclovir were established. The solubility of ganciclovir in different aqueous media and the partition coefficient of ganciclovir in oil/water system composed of n-octanol and different aqueous media were determined. To determine the theoretical basis for the next dosage form development experiment. The liposome in situ gel developed by ganciclovir can significantly prolong the retention time of the drug in the eye and increase the corneal permeability of the drug. The development of microemulsion gel can also play a better sustained-release effect. Liposome in situ gel is more advantageous than microemulsion gel for the corneal transmittance of ganciclovir in the eye, which is more conducive to improving the effect of ganciclovir and reducing the waste in the use of ophthalmic preparations. Ganciclovir is more suitable to be developed into liposome in-situ gel. The established ultraviolet spectrophotometry method for determining Ganciclovir can accurately and quickly determine Ganciclovir. The established ultraviolet method for determining the solubility and oil/water partition coefficient of Ganciclovir can be used for drug in vitro determination. The determination of the solubility of Ganciclovir in different aqueous media and the partition coefficient of Ganciclovir in oil/water system composed of n-octanol and different aqueous media provide theoretical basis for the next development of prescription screening.

Research on the Comic Media Content Creation of the Wechat Public Accounts with the Themes of Regional Culture

2021-12-14T09:31:58+00:00

With the emerging of new media, text oriented media targeting mobile devices has become a new way of information transmission. In recent years, the content based on regional culture has become one of the creation trends of Tioman (the comic media content of the Wechat public accounts). It stimulates users' cultural confidence and identity through the description and depiction of local natural attractions and landmarks, cuisine, fashion, housing and transportation, and traditional customs, so as to realize the popularization, dissemination and promotion of regional culture. Based on geographical culture content creation, taking the Wechat public account “City Roaming Plan” as an example, this article discusses the topic selection, the genre and visual design. The article also explores how regional culture information integrates and transforms with the new media transformation trend, and to build a creative thinking framework and model, so as to guide a more scientific visual content production, to promote mutual understanding between regional tradition and modern culture, increase the value and enhance transmission effectiveness of local culture.

Study on the Method of Scientific Measurement of Sensitive Quality

2021-12-14T09:33:08+00:00

Taking 67 college students as research subjects, this paper makes experimental research on reliability of several agility measurements which included in National Exercise Standard of Ordinary Multitude. By using the method of mathematical statistics, the repeatedly measured data was analyzed in one-way variance. The reliability of these measurements was calculated, and the degree of correlation between each measurement was discussed. The results are pointed out that the reliability coefficients of 5m side slide test and ‘8’ route changing direction run are relative higher(is 0.8721 and 0.9100 respectively), which show fine consistency of the repeated measurement of these two tests; however, the reliability coefficients of quadrant jump (r=0.8096) and left-right span test (r=.7644) are relative lower. The degree of correlative between these measurements is low, which explain that each measurement incarnate different aspect of agility.

Research on the Asymmetric Effect of the Graded Fund's Return Rate

2021-12-14T09:34:22+00:00

In order to study the asymmetric effect of the tiered fund returns, the GARCH family model is introduced to improve the volatility and Monte Carlo simulation is used to price it. First, select China International Finance Shanghai 50 Index (stock funds) and E Fund Juying Index (bond funds) classified fund of funds as the research objects, and use the trading days between the two conversion days as the sample period, and then the GARCH family model fitting Volatility; finally pricing it with Monte Carlo simulation taking into account asymmetric effects. The results show that: asymmetry exists in the return rates of E Fund Juying Index and China International Finance SSE 50 Index Fund of Funds. Both E Fund Juying Index Fund of Funds and China International Financial SSE 50 Index Fund of Funds have more obvious response to the good news, and after considering the asymmetric effect of the rate of return, a better pricing effect is obtained.

TAM-Based Acceptance Model for Port Shore Power System

2021-12-14T09:35:42+00:00

Shore power has become an important berthing way for sustainable shipping. The goal of this research is to determine the influencing factors of port shore power promotion. The technology acceptance model (TAM) was used to construct a theoretical model of shore-power acceptability. In theory, 4 independent criteria were discovered as contributing to actual usage of shore-power for shipping sustainability by influencing ports’ attitudes toward shore-power and their intention to use. A questionnaire based on the port enterprises in China was conducted, with over 500 people participating. Data were analyzed by MPLUS. The attitude and behavioral intention toward using shore power show the beneficial influence on the sustainable development of shore power in the future. The results show that subjective norms and perceived risk play a relatively important role among all related variables in TAM. This study contributes to popularizing the shore power technology by demonstrating how different variables affect the usage of shore power, and are highly significant for sustainable development of ports and shipping.

Evaluation and Prediction Model for Exploring the Impact of Climate Change on National Vulnerability

2021-12-14T09:36:56+00:00

Climate change’s pervasive influence on human life has been an inevitable topic nowadays, especially the impacts on instability of a state has been attached with great importance recently. In this paper, we establish evaluation model and regression model to complete the missions. First, based on the scheme of Fragile State Indexwhose weights of 12 indicators are uncertain, we are aimed to decide them to complete the Evaluation Model. Fuzzy Analytic Hierarchy Process and Entropy Weight Method are adopted to combine the advantages of human knowledge and data pattern. Then, in order to find out how climate change affects the 12 indicators, Regression Model is established. We firstly identify 5 indicators including disaster, water, land, temperature and CO₂ to describe climate change. After that, we identify 6 control variables to reduce system error. Last but not the least, taking the difference between countries, we use fixed cross-section effects model to regress. Data of 115 countries from 2009 to 2019 is collected and all the R2 of the 12 regression models are above 0.9, indicating a good fitting result.Finally, we establish a Forecast Model to evaluate the actual effect of our work. Based on collected climate data, Time Series ARIMA Model is adopted.

Study on the Elderly's Willingness to Live in Rural Sojourn and Its Influencing Factors: Based On a Survey of 508 Elderly People in Nanning China

2021-12-16T17:44:16+00:00

As China gradually entered the elderly society, the pension problem is increasingly serious. As an active and healthy way of supporting the aged, sojourn for the aged has been favored by more and more elderly people. Rural sojourn for the aged is a development model of sojourn for the aged in rural areas. With the aged people in surrounding cities as the main source of customers, it has the role of enhancing the complementary advantages of urban and rural areas and promoting the integrated development of urban and rural areas. However, this industry is still in the early stage of development in most areas of China. Based on 508 valid questionnaires, this paper used binary logistic test, chi-square test, standard residual comparison and other statistical methods to analyze the willingness of the elderly in Nanning to live in the countryside and its influencing factors. The analysis shows that 75% of the elderly are willing to participate in the rural living in the countryside, and their willingness is most related to gender, age and health status. Labor and entertainment factors, transportation factors and accompanying factors affect their willingness to travel; Income and education level affect their choice of sojourn products. Measures such as building rural sojourn pension products that meet the market demand, strengthening investment in infrastructure construction and public service construction, and building rural sojourn pension demonstration sites are conducive to the development and maturity of rural sojourn pension industry.

ICT Adoption, Health Literacy and Health Human Capital of Rural Residents—Based on the Health Survey Data of 4829 Farmers in Jiangxi Province

2021-12-20T07:04:34+00:00

The key to rural revitalization lies in the revitalization of talents, and the key to the revitalization of talents lies in the promotion of human capital. As an important component of human capital, health is the cornerstone of national prosperity and prosperity. As a large agricultural country, China has a large gap in health literacy levels between urban and rural areas, and the health inequality is still quite serious. Therefore, based on the survey data of “hundreds of villages and thousands of households” in Jiangxi Province in 2018, with 4829 rural household health survey data as the sample, this paper uses the ordered Probit model to study the impact of ICT adoption on rural residents’ health human capital, and explores the mediating role of health literacy between ICT adoption and rural residents’ health human capital. Finally, the robustness test was carried out. The baseline regression results show that ICT adoption has a significant positive impact on the health human capital of rural residents. Considering the possible endogeneity problems, the results are still robust after the selection of appropriate instrumental variables. The results of heterogeneity analysis show that the impact of ICT adoption is more significant in women and middle-aged and elderly population than in men and non-middle-aged and elderly population. The mediating effect test results show that health literacy plays a partial mediating role between ICT adoption and rural residents’ health human capital. Based on this, the paper proposes to strengthen the construction of communication infrastructure in rural areas. To encourage rural women and middle-aged and elderly people to use the Internet by providing subsidies and other means; the aim is to provide empirical basis and decision-making reference for the government to promote the health of rural residents.

Face Tracking Algorithm of Power Warehouse Based on Multi-Feature Fusion Particle Filter

2021-12-20T07:07:09+00:00

In order to improve the tracking effect of video objects in power warehouse, a particle filtering target tracking algorithm based on multi-feature fusion is proposed, which combines the nonlinear and non-Gaussian characteristics of state model and observation model in video objects tracking. Firstly, an adaptive method for selecting target color histogram is proposed to obtain more accurate target color features. Then, Local Ternary Patterns (LTP) texture features are introduced into the tracking algorithm. Based on the LTP texture features, the LTP key texture model is constructed to further enhance the target key texture information. Finally, the color feature and texture feature are used to represent the target, and the two features are fused into the framework of particle filtering, and the weight of the particle is calculated by using the fused information to reduce the influence of the algorithm on the target deformation and complex environment; at the same time, the idea of weighted classification is adopted to assign different weights according to the different contributions of different features to the classification effect, and larger weights are assigned to the reliability features to improve the classification accuracy. The experimental results show that the proposed algorithm can not only track the face effectively, but also get better tracking effect when the color of the target is disturbed, which can be applied to face tracking task in power warehouse.

The Design of a Slider Type Engine Valve Structure

2021-12-20T07:08:43+00:00

In this paper, for reciprocating piston engines, a sliding block type engine valve structure is designed which based on the traditional umbrella valve structure, in order to change the traditional working characteristics of the engine valve, and reduce the quality of the engine valve, thus, reducing valve motion inertia and working noise, and ultimately improve the performance of engine. Finally, the advantages of the slider type engine valve structure used in reciprocating piston engine are summarized.

The Research on the Efficiency of Financial Support for the Development of Real Economy-A Case Study Based on the Data of the Silk Road Belt

2021-12-20T07:11:44+00:00

With the intensifying trend of financialisation of the economy, the efficiency of financial support is associated with the smooth and sustainable development of the real economy. However, Mismatches between financial resources and real economic development emerged in recent years, and the decreased efficiency of financial services has greatly affected harmonisation and balance of financial and real economic growth, meanwhile there are also large differences between different provinces. Based on the data of 10 provinces along the Silk Road Belt from 2012-2018, the efficiency of financial support for the real economy development will be analyzed using DEA-BBC model and DEA-Malmquist index, and the validity of financial support for the real economy development will also be discussed in the article. The results showed that the overall comprehensive efficiency is effective, meanwhile there are significant differences among the provinces, and the productivity of financial support for economic development is on a declining trend, which is meanly caused by the declining efficiency of financial scale.

Design and Experiment of Real-Time Detection and Tracking System for Animal Behavior Based on Improved Retina Face Neural Network

2021-12-20T07:13:13+00:00

To solve traditional animal behavior recognition method defects such as non-intelligence, heavy workload, and poor generalization performance, improved RetinaFace neural network animal training model and NVIDA TensorRt were used to accelerate and construct the model engine. GPU asynchronous flow was used to process multiple frames of images and improve model-based reasoning speed. Finally, the real-time target detection and tracking system was built for the animal behavior. Experiment results showed that: The mAP value of the neural network model was 82.38%. Average time of forward reasoning model after improvement was 29ms and was increased by 3.58 times. The complete system can recognize and track the water maze environment in a paid and stable way and realize the real-time analysis on key behavior information of mice (such as trajectory, displacement, and exploration time).

Research on Optimal Configuration of Distribution Network Filter Based on Chaos Algorithm

2021-12-20T07:16:40+00:00

Due to the extensive use of power electronic equipment, the harmonic content in distribution network is increasing, which poses a threat to the operation of power equipment and the reliability of power system. Power electronic devices are the main harmonic source in the power grid. With the increasing application of power electronic devices, the harmonic pollution in the power grid is becoming more and more serious. Harmonic suppression can improve the safety and reliability of equipment operation, and plays an important role in the safe and economic operation of power system. The optimal configuration of the filter is the optimal solution of the filter installation position, type, parameters and group number under the condition that the harmonic current, power grid results and parameters are known. In order to minimize the investment of the whole network filter, ensure that the total harmonic distortion rate and harmonic voltage content of each node of the network meet the harmonic standard, and make the filter operate safely, this paper gives the optimal configuration in the distribution network and the solution algorithm and mathematical model of active and passive filters. Therefore, it has become an important task to accurately analyze the harmonic distortion rate of distribution network and take corresponding treatment measures. The node admittance matrix of each harmonic of the system is established, and the network inherent structure method is used to determine the optimal location of each harmonic filter in the distribution network. Artificial immune algorithm is used to optimize the filter parameters. The method proposed in this paper can effectively suppress the harmonic voltage distortion of each node in the network, and provides a new application platform for large-scale information sharing and comprehensive research.

Design of Power Control System for Electrical Automation Equipment Based on Particle Swarm Optimization

2021-12-20T07:18:27+00:00

Electrical automation equipment is a very important automatic control equipment, which is widely used in practical production. In terms of the application of electrical automation equipment, in order to ensure the good effect of the overall equipment in the application, it should ensure that all systems can be used normally, and the power control system is a very important content, so it needs to be designed reasonably. For the design of the power control system, each link must be strictly controlled to avoid internal differences as far as possible and ensure the full play of the overall performance of the control system. The scientific optimization design of the power control system can accurately measure the electric energy of the power system, realize the safe transmission and use of electric energy, and effectively control the electric energy consumption in the power control system, The realization of PID controller automatic control is based on setting controller parameters. In this paper, the optimization design method of electric control system of electrical automation equipment based on particle swarm optimization is presented. Firstly, the particle swarm optimization (PSO) algorithm is introduced, and then the application of PSO algorithm in the design of electric control system of electrical automation equipment is emphatically studied.

Research on Voltage Control of Active Distribution Network with Micro Grid Based on Multi-Agent Technology

2021-12-20T07:20:52+00:00

In fact, due to the relative backwardness of distribution network management and the complexity of network structure, not all nodes are equipped with load real-time measuring equipment, and because of the huge number of distribution network nodes, it is not advisable to carry out accurate power flow calculation to obtain the voltage distribution of the whole distribution network from both economic and technical aspects. In this paper, a double-layer cooperative MAS(multi-agent systems) control framework is established, and intelligent agents are set in feeder layer and node area layer respectively. Functions that need quick response and can be judged and decided only based on local information are independently performed by the lower-level regional agents. Using the information of voltage perception, the reactive output of distributed power supply can be regulated by voltage estimation algorithm, so that distributed power supply can participate in voltage regulation, and multi-agent technology can be used to make the reactive power of distributed power supply cooperate with on-load transformer to realize comprehensive voltage control of active distribution network. The reactive power generated by various DG(distributed generations) in microgrid is brought into the optimized control variables, and combined with the traditional control strategy, various reactive power sources at microgrid level are coordinated to control the voltage of each contact point.

Determination of Sugar Content in Apple by Hyperspectrum with Interval Sampling Algorithm for Sample Subset and Ga-Pls Model

2021-12-20T07:22:19+00:00

It is of vital importance of both the selection of data preprocessing and the selection of training set sample and modeling variables in the process of establishing the Partial Least Square (PLS) quantitative model of hyperspectral data. In this paper, we study the content of sugar in the sugar-sweetened apple, a characteristic fruit of Southern Xinjiang. We compare the effects of four pretreatment methods, i.e., multiple scattering correction (MSC), Savitzky-Golay (SG) smoothing, range standardization and centralized transformation on the model, and the influence of Random Sampling (RS), Kennard-Stone (KS), Sample Set Partitioning based on joint X-Y Distance (SPXY) and Spacing Selection on the model as well. By using totally 10-fold cross validations in the interaction test of the model (the interaction test of the model used 10 fold cross validation), we also give a comparison of the model established by genetic algorithm (GA) and full-wave PLS modeling. The results show that the best data preprocessing method is the combination of SG smoothing and range standardization, and the model established by the training set selected by the interval sampling method is superior to the other three methods. Compared with full-wave PLS modeling, the model established by GA-PLS has great improvement in terms of prediction speed, prediction ability and principal component selection. The correlation coefficient, RMS and prediction accuracy of the model are 0.936229, 0.919618 and 0.938575, respectively.

Research on Precision Marketing Algorithm of Agricultural e-Commerce Based on Association Rule Mining

2021-12-20T07:23:31+00:00

With the rapid development and maturity of big data and artificial intelligence technology, the field of e-commerce is also facing new development opportunities and challenges. How to push suitable products to customers more intelligently, accurately and effectively has become one of the core competitiveness that major e-commerce sellers are striving to improve. It is necessary to build a safer, more convenient and more efficient e-commerce marketing platform for agricultural products on the basis of studying the advantages of big data technology and according to the current situation of e-commerce marketing platform construction for agricultural products in China. As an innovation different from the traditional marketing model, e-commerce has its outstanding advantages. E-commerce enterprises are faced with massive commodities and diversified customer demands, and there is still a lack of intelligent and effective methods and tools in product correlation recommendation. In this paper, the association rule mining technology is applied to the actual precision marketing of agricultural products, and the multi-dimensional association rule set is constructed by using the association rule mining algorithm to mine and analyze agricultural products and precision marketing of agricultural products.

Research on Interactive Model of Translation Teaching Based on Computer Aided Translation System

2021-12-20T07:24:44+00:00

Translation memory technology is the most widely used core technology in the field of computer-aided translation. It makes full use of the powerful function of database to improve the reusability of existing translation materials. In the field of professional translation with high data repetition, it greatly reduces the repeated work of translators and avoids multiple translation results of the same sentence. This paper analyzes the characteristics of computer-aided translation technology and computer-aided translation course teaching at the present stage, and finds that computer-aided translation teaching is a subject with close combination of theory and practice and equal emphasis on knowledge and skills. This paper discusses the necessity of introducing computer-aided translation system into translation teaching. After giving a clear positioning of computer-aided translation system, this paper discusses its application objectives and strategies in translation teaching.

Research on Gao Ding Based on the Chinese Way of Whole House Customization

2021-12-23T07:02:11+00:00

The concept of "Gao Ding" in Chinese market is booming in recent years with the whole house customization in the design field, but it is particularly explained well for this new idea of design, which has a great relationship with people's concept of whole house customization, interior decoration, furniture and furnishings purchase. The development of "Gao Ding" field is also changing quietly with the change of people's concept. How did the word "Gao Ding" become popular? Why is "high-definition" popular? How to interpret "high-definition"? Only by understanding the logic behind the rise of "Gao Ding" can we better interpret what "Gao Ding" is. And the motivo of its development with the Contemporary home decoration design, from the past traditional construction to today's design and construction of one-stop service, decoration industry has developed more and more convenient. "High-quality life" is the Chinese people's yearning for a better life, and it is also President Xi Jinping Key words emphasized by the secretary on multiple occasions. This article will explain the current situation of this concept and some leading factories with their caractistics.

Research on Traditional Music Culture in Western Guangdong under the Perspective of New Media

2021-12-25T06:43:13+00:00

This paper studies the influence of new media on traditional music and cultural industries in western Guangdong Province through the theory and methods of communication science. This section presupposes the analysis of the nature and characteristics of the traditional music industry in the western part of Guangdong. It discusses the aesthetic features of traditional music in western Guangdong, its relationship with technology, and its value. On this basis, the theory and long tail theory were used to analyze the marketing communication in the music industry. From a theoretical point of view, the impact of the new media on the contemporary music industry in the western part of western Guangdong was demonstrated, and the impact of Internet communication on the popular music industry was highlighted. The key is that the core of marketing communication gradually shifts to consumers to study the impact of online communication on the personal communication of music, the impact on music communication carriers, and the influence of intellectual property in traditional music transmission in western Guangdong.

The Restriction Mechanism of Environmental Uncertainty on Inefficient Investment: A Moderated Intermediary Model Based on Financing Constraints

2021-12-28T06:38:35+00:00

Investment behavior has always been the focus of enterprise research, but also the difficulty of scholars. Most of the researches on investment behavior have focused on interfering with the business performance of Chinese enterprises. However, the research on inefficient investment mostly focuses on the discussion of internal characteristics of enterprises, ignoring the impact of external environment. Therefore, this paper combines the environmental uncertainty and financing constraints of relevance theory, constructs a moderated intermediary model based on the introduction of excess cash holding theory, and based on the financial data of China's non-financial listed companies from 2008 to 2019, uses the hierarchical regression and bootstrap method to carry out the inspection, and comprehensively explores the impact mechanism of inefficient investment. The results show that: (1) environmental uncertainty has a significant positive impact on financing constraints. (2) Financing constraints have a significant positive impact on inefficient investment. (3) Financing constraints play a mediating role in environmental uncertainty and inefficient investment constraints. (4) Excess cash holdings can adjust the intermediary relationship. From the new perspective of financing constraints, this paper constructs the mechanism of environmental uncertainty and inefficient investment, expands the scope of inefficient investment mode, and has a certain reference significance to improve the investment environment and reduce inefficient investment behavior.

Research on Influencing Factors of Cross-Border E-Commerce Development of Industrial Clusters—Take Yongkang Hardware Industry as an Example

2022-01-06T06:16:25+00:00

As a new force in foreign trade and export, cross-border e-commerce of industrial clusters continues to promote industrial clusters with obvious foreign trade tendency to realize the transformation of digital trade. In order to explore the realistic path to promote the cross-border e-commerce development of industrial clusters, this paper analyzes its development mechanism on the basis of relevant literature, and extracts three dimensions: cluster enterprise factors, industrial cluster factors and local government factors. Take Yongkang City as the research object, which belongs to the first demonstration category among the cross-border e-commerce pilot cities in Zhejiang industrial clusters, and then use the collected data for analysis. The results show that: in the process of cross-border e-commerce development of Yongkang hardware industry cluster, the effect of cluster enterprise factors is not significant; Industrial cluster factors and local government factors can play an obvious role in promoting. At the same time, industrial transformation and upgrading, as an effective intermediary channel, can play part of the intermediary role.

Fault Diagnosis of Power Supply Equipment Based on Distributed Fiber Grating Temperature Sensing

2022-01-06T06:17:23+00:00

Power supply system is the foundation to ensure the orderly operation of various industries, and its fault monitoring and maintenance is one of the most critical tasks. Aiming at the problems of low efficiency and poor real-time performance of manual inspection, a long-distance temperature measurement system based on distributed fiber grating is proposed in this paper. Firstly, the packaging structure of the grating sensing unit is designed to realize the decoupling of temperature-deformation spectral drift. The temperature sensitivity is 10.79pm/°C, and the repeatability is better than ±0.1°C. Secondly, an 8-channel distributed fiber grating temperature monitoring system is designed. The sensors are arranged in the switchgear and transformer of the device to realize the all-weather accurate fault monitoring of the power supply system. Since its operation, the system has been working stably and successfully warned of multiple power supply equipment failures. It provides effective technical support for the construction of smart power systems, and has broad application prospects in power supply equipment health monitoring.

Adaptive VMD and PSO-MOMEDA Algorithm based method for Rotor System Fault Diagnosis

2022-01-06T06:17:25+00:00

In this paper, a fault diagnosis method combining the variational mode decomposition (VMD) with adaptive parameters and multi-point optimal minimum entropy deconvolution adjusted (MOMEDA) optimized by partial swarm optimization algorithm (PSO) aiming at the problem that the fault information is hard to extract from the overwhelmed vibration signal when the rotor system works in strong noise setting is proposed. Firstly, the original signal is decomposed into intrinsic mode components (IMF) series by VMD, from which the specified IMF components are selected for signal reconstruction according to the correlation coefficient – kurtosis criterion, and then the reconstructed signal is processed with the MOMEDA model for the filtering. Finally, the rotor system fault type is identified through the signal envelope spectrum analysis. Simulation test and rotor fault experiments results show that the improved VMD model with PSO-MOMEDA method can primely remove the noise from the vibration signal of the rotor system and accomplish the fault mode recognition with avoiding the blind selection of parameters in the process.

Research on Recognition and Extraction of Peach Tree Branch Trunk Images

2022-01-06T06:17:27+00:00

Fruit tree pruning is a necessary means to improve yield and longevity. The current pruning means are mostly manual pruning, resulting in low pruning efficiency. The identification and extraction of target branch images is a key technology for automated pruning of fruit trees, which has seriously restricted the development of automated pruning of fruit trees. To this end, this paper proposes a branch image filling and extraction algorithm based on peach tree pruning technology. The algorithm is based on the analysis of peach tree branches, leaves and environment to obtain the intrinsic connection of branch images, so as to segment the branch part of the image with the leaf noise and carry out the obscured branch filling process to achieve the repair of the obscured part of the branches and obtain a more complete peach tree branch model. The algorithm was found to have a minimum correct recognition rate of 82.13%, a maximum of 89.79% and an average of 86.65% through experiments. The key factor in reducing the recognition rate is the total number of recognition hyperpoints, which are new pixel points generated during the image processing. These new points do not affect the shape and number of branches, and therefore do not affect the judgement of pruning and the related pruning process. Therefore, the correct recognition rate of the proposed algorithm can meet the practical needs and can be used as a theoretical basis for branch identification and automated pruning of peach trees.

Research on Distribution Path Optimization of Agricultural Cold Chain Logistics Based on Genetic Algorithm

2022-01-06T06:17:29+00:00

The variety and output of fresh agricultural products are increasing, which puts forward higher requirements for cold chain logistics and distribution. In the cold chain logistics system, distribution is a key link, which requires higher transportation technology and transportation environment. Route optimization of distribution links is extremely important in logistics optimization, and it is an indispensable part of distribution process optimization. However, problems such as unreasonable delivery time of trucks and long driving distance of empty cars often occur today. In order to improve this phenomenon, we should optimize the cold chain logistics distribution path of fresh agricultural products, improve the efficiency of cold chain logistics, reduce the distribution cost of fresh agricultural products and meet people's demand for fresh agricultural products. In this paper, an optimization model of fresh cold chain route distribution with comprehensive cost based on genetic algorithm is established, and the optimal distribution scheme with the minimum total distribution cost under the condition of meeting the customer's time window is studied. By scientifically and reasonably optimizing the cold chain logistics distribution vehicle route, the goals of reducing distribution cost, ensuring cold chain product quality and improving customer satisfaction can be achieved.

System Reform and Reconstruction of Rural Logistics under the Concept of Smart Circulation

2022-01-08T07:16:52+00:00

For modern life, logistics is of great significance, is an indispensable component, and has a vital practical significance for the development and stability of different countries in the world. Affected by digitization, smart logistics is becoming the direction of transformation and development of logistics industry. Modern information technologies such as Internet of things, artificial intelligence and big data have been deeply integrated with rural supply chain circulation, and gradually changed the main structure, circulation channels, circulation links and access to circulation information of rural supply chain circulation., Due to the further development of high and new technologies, such as the Internet and information technology, the modern logistics industry has derived a new form: intelligent logistics. The vast rural areas actively broaden the upward channels of agricultural products and sell local agricultural products to all parts of the country, which has played a positive role in promoting the development of rural economy and become an important basis for the implementation of the Rural Revitalization Strategy. Combined with the development of rural logistics industry chain, this paper will further describe the impact of smart logistics.

Research on Energy-Saving Renovation Design of Traditional Dwellings in Suzhou Water Town

2022-01-28T14:24:51+00:00

Traditional dwellings in Suzhou have a long history, but there are some shortcomings in thermal environment and energy saving. In order to respond to the sustainable development strategy, this paper takes Suzhou traditional dwellings as the research object, analyzes the indoor and outdoor temperatures of typical days in winter and summer, and puts forward 16 renovation schemes by orthogonal experiments on the premise of protecting the style and features of dwellings. DeST software is used to simulate energy consumption, and the best scheme is selected by comprehensive economy and energy saving rate, and the indoor temperatures before and after renovation are simulated and compared. The research shows that the best renovation scheme is: 100mm EPS insulation board for exterior wall, 80mm EPS insulation board for roof and 9mm ordinary insulating glass for exterior window. After transformation, the energy saving rate is 38.6%, the net present value is 19,775.72 yuan, and the static investment payback period is 9.5 years. After renovation, the indoor temperature increased by 3.9℃ in winter and decreased by 2.1℃ in summer, which effectively improved the indoor thermal environment.

Comprehensive Benefit Analysis of Energy Saving Transformation of Hui-style Residential Buildings

2022-01-28T14:24:54+00:00

As traditional dwellings in southern Anhui, Huizhou style dwellings have been built for a long time, with serious aging structure, poor indoor thermal environment, and high building energy consumption, so there is an urgent need for energy-saving transformation of dwellings. This paper selects a traditional Huizhou style house in Shexian County, uses DeST to simulate the energy consumption, analyzes the energy-saving transformation of the envelope structure, quantitatively analyzes the energy-saving effect under different energy-saving schemes, and select the optimal energy-saving scheme based on the results of energy consumption simulation and the net present value method. After the renovation, the annual cumulative energy consumption of the building is reduced by 66.4%, the net present value during the life span is 13433.97 yuan. The energy-saving renovation is of practical significance to the improvement of energy saving.

Prediction of Permeability Coefficient of Unsaturated Loess in Dry-Wet Cycle based on Thermodynamics and Microstructure Evolution Law

2022-01-29T09:27:26+00:00

soil-water characteristic curve describes the relationship between matrix suction and soil saturation (or water content). It affects the shear strength, deformation and seepage behavior of unsaturated soil, and is a very important research content in unsaturated soil mechanics. Based on the internal variable theory of thermodynamics, a soil-water characteristic curve model is proposed, which can comprehensively consider the capillary hysteresis effect and the influence of unsaturated soil volume deformation. Based on the evolution law of microstructure, the moisture distribution in loess under natural humidity was analyzed, and the relationship among pore fractal dimension, unsaturated pore porosity and collapsibility was analyzed by regression analysis. The results show that the larger the pore fractal dimension is, the more complex the pore structure is. The collapsibility coefficient of loess increases with the increase of pore fractal dimension and unsaturated pore porosity, which is the main cause of loess collapsibility. By comparing with the existing test results, it is shown that the model can well predict the change of scanning line of soil in different processes of drying and wetting.