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In the past two years, equestrian sports have become more and more popular with the public. Due to the comprehensive development of equestrian preparations for the 2020 Olympic Games in China, the equestrian sports industry presents an unprecedented favorable development environment in China. This article is aimed at studying the construction of an...
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In mainland China, there remains a shortage of pediatric drugs. The Chinese government has recently launched policies and incentives to encourage pediatric drug development and clinical trials. However, data on the characteristics or development trends of these trials are limited. In this review, we extracted source data from the Chinese Clinical T...
Citations
... Attar et al. put forward a design idea of multistrategies, combining DM technology with statistical analysis and using DT-based classification mining method to analyze the data in the student's sports achievement database, and generate the student's sports achievement DT, which can intuitively show the position of a certain achievement in different grade calculation methods and provide evaluation information for teaching departments [2]. Wu et al. used the classical C4.5 algorithm to construct the prediction model of students' professional achievement, including data processing, pruning optimization of DT, and evaluation of the performance of the model by cross validation, to find out the potential students' behavior rules [3]. Yuan et al., based on the theory of performance evaluation, designed a performance evaluation index system to measure students' growth according to the process performance, taking innovative and designed experiments in the teaching stage of students' professional courses as the process [4]. ...
Under the background of big data, all walks of life have carried out in-depth informatization construction. As an important part of national education, the informatization construction of universities cannot be ignored. In recent years, the state has promulgated various policies and regulations, which provide a guarantee for the normal development of school physical education and can improve the current situation of college students’ declining physical health to a certain extent. This study attempts to set some specific indicators to promote the better implementation of college sports so that it can supervise and inspect them from all aspects during the actual development of college sports and provide a standard for measuring the implementation effect of college sports. Based on the RF (Random Forest) algorithm, this paper puts forward an evaluation algorithm of students’ sports achievements, which can be used to predict students’ sports achievements and at the same time, find out the factors that affect students’ learning and rank them in importance. The results show that the confidence level of sports effect evaluation by this method is high, and the average confidence level is above 0.96. Conclusion. This method has improved the effect of sports effect evaluation, thus effectively guiding sports skills training and improving sports skills.
... The research on "marine economy" and its development in the United States mainly shows the following characteristics: it has not formed a perfect theoretical system, and failed to investigate the relationship and interaction of marine economic activities from an overall perspective. There is less discussion on "marine economy, " and the researchers focus on the relevant research of Marine Industrial Economics (Wu and Zhou, 2021). Researchers pay more attention to the medium and micro level of marine economy, focusing on the phenomenon analysis of marine economy and the framework guidance of marine development. ...
In order to explore how the marine economy can realize the new growth point of economic development, this study puts forward a research method based on the internal mechanism and path of the new growth point of marine economic development. This method recommends key technical problems and solutions based on the research method of the internal mechanism and path of developing new growth points, amphibious science that further integrates, ecological, and socialized theory and application and explores the internal mechanism and path of how the marine economy realizes the new growth points of economic development. The research shows that the research on the internal mechanism and path of developing new growth points has increased the marine economy by nearly 45%, deeply analyzes the internal relationship between coastal economic growth and marine pollution, the close relationship between marine resources development and marine economic growth, and briefly summarizes the marine economic growth path against the background of the adjustment and change of marine industrial structure.
... e Internet of ings, also known as the "Universal Connected Applied Internet", can be broadly understood as the expansion and extension network derived from the Internet, which can combine various types of information sensing equipment and network hosts one by one to form a huge and complete network system. Due to the openness and inclusiveness of the Internet space, people or hosts at any time and any place can realize information communication and transmission with the help of the Internet of ings system [1,2]. Most of the information transmitted by the Internet of ings belongs to the data of perception and recognition. ...
In order to reduce the carbon emissions of cold chain logistics and promote the construction of ecological civilization, a logistics distribution path optimization model with the minimum total cost as the objective function under the carbon tax system was proposed. The model comprehensively considers the technical advantages of the Internet of things and the characteristics of cold chain logistics; introduces soft time window, customer satisfaction, and carbon emissions as the main constraint conditions; uses the improved genetic algorithm to solve the mathematical model; uses Matlab to encode; and shows the effectiveness and rationality of the model and algorithm through examples. The experimental results show that: The total cost is 9917.12 yuan, customer satisfaction is 97.07%, carbon emission is 161.06 kg, carbon tax is 5.64 yuan/ton, fixed cost is 600 yuan, transportation cost is 72.72 yuan, refrigeration cost is 8811.73 yuan, cargo damage cost is 427.03 yuan, penalty cost is 0 yuan, The validity of the algorithm and the rationality of the model are verified. When enterprises add a carbon tax constraint, the total cost of cold chain distribution is reduced, and the carbon emission is reduced compared with that without carbon tax. The research can provide a reference for enterprise cold chain logistics distribution decisions.
... e brightness and darkness of an object are perceived by the human eye from the visual experience of the light source. e brightness of the object is the brightness, which is affected by the intensity of the light source [23,24]. If the light is stronger, it looks brighter; the weaker the light, the darker it looks. ...
In order to solve the problem of traditional Chinese painting image color processing technology, meet the needs of digital museum construction, make up for the vacancy of color processing technology in traditional Chinese painting, and improve people’s understanding of traditional Chinese painting. Through the analysis of the experiment, the experimental equipment adopts Epson v940 scanner, the color depth is 24 bit true color, and the scanning accuracy is 1200dpi. The main simulation methods of Chinese painting are systematically and deeply studied, from which the characteristics of Chinese painting are analyzed. Through a large number of formula analysis, it is found that the application of computer image processing technology in Chinese painting is very successful, which promotes the development of the digital museum and improves people’s understanding and liking of Chinese painting.
... China has unveiled the green development engine, which requires the country to adhere to green development principles and promote the building of a beautiful China. Green growth in economic development is defined as the symbiotic, integral, and coordinated development of the economic system, the social system, and the natural system, where the economic system is based on green growth, i.e., production and consumption are characterized by low energy consumption, low material consumption, and low emissions, in order to achieve economic growth and energy decoupling [1,2]. According to the Marxist concept of development, green growth investigates the origins of problems, focusing on the reevaluation, and modification of the interaction between humans and their natural environment. ...
... Acknowledgments (1) ...
The Chinese sports industry encompasses both the secondary and tertiary sectors of the country’s economy. More prominent are the issues of unbalanced industrial structure development, mismatch between supply and demand, and rapid expansion of the sports goods manufacturing industry. This paper first employs the literature method to investigate the dynamic mechanism and promotion strategy of China’s sports industry’s green development. In order to improve the accuracy of data mining and quantitative analysis in the sports industry, this paper proposes a time series-based model for the analysis of sports industry data. Utilizing the global steady-state feature fusion method, the statistical and quantitative fusion analysis method, and the fuzzy analytical control method, accurate mining of sports industry data is achieved. The simulation results demonstrate that this method has greater precision and a higher degree of feature matching for sports industry data mining, thereby reducing the disturbance error of sports industry data mining.
... rough the integration of influencing factors of college students' sports cognition, these data are used for in-depth mining, sorting, and analysis to obtain potential laws so as to obtain valuable information for sports management departments, coaches athletes, and other parties provide scientific and effective reference data [10]. e development of China's data and information technology shows the strength of China's technology. ...
College students are the pillars of the country’s future construction, shouldering the historical mission of building the motherland and rejuvenating the nation, forming a good habit of scientific exercise during school, and laying a good physical condition for social work in the future. When their life is more closely related to sports, they will have higher and more specific requirements for the use of sports. In college students’ sports cognition, the main influencing factors are to improve athletes’ competitive level. The most direct and effective way is to strengthen training. China’s DM technology is the concentrated expression of multidisciplinary knowledge, and the scope of technology is also relatively wide. At this stage, China’s DM technology adopts many extremely intuitive expressions to convey the beauty of technology. For example, the tree structure is a special expression of DM technology. This article studies the influencing factors of college students’ sports cognition based on data mining (DM) technology. What is more related to China’s DM technology is the unique regularization of the influencing factors of college students’ sports cognition. To a large extent, this trend is the data standard of China’s sports industry. It can be seen that China’s DM industry also has the characteristics of diversification. According to the characteristics of China’s DM technology, the current advanced expenses are enough to supplement the related technical weaknesses, and further technical strengthening can be carried out on this basis so that China’s DM technology will gradually develop towards specialization.
... Konjički sport je počeo da pokazuje trend snažnog razvoja. Sa sve većim brojem održanih konjičkih događaja, ubrazano se radi na inteligentnoj platformi za obradu informacija i primeni IoT modela u konjičkoj industriji [14]. Konjička industrija se deli na dva glavna dela [15]: 1) deo koji se bavi osnovnim aktivnostima (core) koje obuhvataju upotrebu, posedovanje, vlasništvo konja, i 2) deo koji se odnosi na pružanje usluga i dobara za realizaciju osnovnih aktivnosti. ...
Internet of things (IoT) se smatra motorom rasta industrijske revolucije 4.0. Kombinacija IoT, računarstva u oblaku i odgoja konja može doprineti dobrobiti konja i njihovim vlasnicima. Sa visoko tehnološkim senzorima i ultra široko pojasnim impulsnim radarima, IoT menja način brige o konjima. Navedeni uređaji sa omogućenim IoT su dostupni za upotrebu u štalama, prikolicama za konje, pašnjacima i kod konja u treningu, za praćenje i zaštitu konja. Ovaj rad pruža pregled primene IoT u scenarijima zdravstvene zaštite, ishrane i pri jahanju konja. Na kraju je predstavljena diskusija o postojećim pitanjima i otvorenim izazovima i mogućim budućim dometima u primeni IoT u konjičkoj industriji.
Coal is a prominent energy resource for several countries. Of late, exploring the automatic management and control of coal mining has been a significant task. This article presents a framework for a mine-wide integrated automation management and control platform with the goal of advancing coal mining through unified data, models, platforms, and plans. Utilizing cutting-edge technologies, the platform offers resource management, real-time monitoring, remote control, statistical analysis, and intelligent alarm systems. Data access design ensures standardized data collection and exchange, fostering interoperability. A big data storage center manages heterogeneous data sources. The platform interface design emphasizes flexibility and scalability through containerized applications and microservices frameworks, streamlining deployment. The functional design encompasses subsystem configuration access, real-time monitoring, remote access, etc. A detailed evaluation is presented to demonstrate the significance of the proposed platform in terms of functionality, performance, and scalability.
Background
The energy industry is the leader of the third industrial revolution, and the field of big data is the concrete embodiment of the Internet. With the advent of the era of big data, data is growing at a very fast speed, forming a large number of digital resources including text data, pictures, audio, video and other multimedia data. The application of big data will bring changes in technology application, service mode and development ideas to the power grid.
Objective
The purpose of this paper is to improve the data analysis and data mining ability in the related fields of power energy enterprise management, and improve the service ability and service quality of power marketing business through the informatization construction of power energy enterprises.
Methods
According to the increasingly urgent scientific decision-making needs of large-scale energy enterprises, the paper combines big data technology with cloud computing technology to construct the management information system of electric power and energy enterprises.
Conclusion
The electricity consumption information collection system adopts distributed architecture to collect electricity consumption data, establishes a big data cloud platform, and presents the operation and maintenance information to managers with vivid and intuitive three-dimensional graphics, which facilitates the integration of data resources of multiple heterogeneous operation and maintenance systems, and improves the intuitive perception and judgment ability of operation and maintenance managers on the operation state of data centers to a certain extent.
