Figure - available from: Mobile Information Systems
This content is subject to copyright. Terms and conditions apply.
Source publication
The development of information technology is changing all walks of life. People’s health problem is more and more prominent; people begin to talk about the reform of college sports training. Sports no longer rely on individual games, but on the comprehensive strength of science and technology competition. The fierce competition for Olympic gold med...
Citations
... Athletes query sports training plan information through Android smart phones to realize the optimization and innovation of sports training information management. The design and embodiment of the sports training information management system based on Android smart phones will play a positive role in the application value and have a positive impact (Dong 2021). ...
In the AI sports training system, the traditional optical imaging technology limits the resolution of the image. Therefore, the use of optical super-resolution imaging technology to improve image resolution can promote the further development of AI motion training systems. In this study, high-resolution images and corresponding low-resolution images are collected as training data, and an optical superresolution imaging model based on deep learning is established. The GPU parallel computing technology is used to accelerate the training and inference process of the model. Finally, the optimized high-resolution image is applied to the AI sports training system, and the experimental evaluation is carried out. The experimental results show that the optical superresolution imaging technology based on GPU parallel computing can significantly improve the resolution and clarity of the image. Compared with the traditional optical imaging technology, the image processed by optical superresolution imaging has better performance in detail and edge. Through the test of the motion capture system, it is observed that the images processed by optical super-resolution imaging can detect and analyze the motion details more accurately.
... It is vital to determine whether or not the datasets under consideration are stationary (Dong 2021). Estimating the stationarity of the data can be done using a variety of different techniques . ...
This paper aims to describe the psychological crisis’s impact on college students in China. The present study has investigated the impact of the usage of digitalization, psychological crisis, employment and age on the college student in China. The study used annual time series data from 2005 to 2020 from provinces in China. This study adopts the Cup-FM test to estimate the long-term association between the variables. The study applied Cup-BC and by-FM estimations to calculate robust and reliable outcomes. The findings show that usage of digitalization and psychological crisis negatively impact college students, whereas employment and age positively impact the college student. Moreover, the result of the interaction term psychological crisis on the usage of digitalization, employment and age has positively impacted college students. The estimated results also provide important policy implications for the China region in designing an appropriate way forward for college students.
... Los deportes ya no se basan en juegos individuales, sino en la fuerza integral de la competencia científica y tecnológica. La feroz competencia por la medalla de oro olímpica en los deportes competitivos modernos se debe en gran parte a la competencia científica y tecnológica de varios países (Dong, 2021). ...
Resumen. La llegada de la era de los grandes datos proporciona una plataforma más abierta y gratuita para la gestión del entrena-miento deportivo, lo que también promueve la diversificación del contenido de la enseñanza en los macrociclos. Fortalecer la inte-gración y el análisis de los recursos de datos, puede mejorar los métodos tradicionales de entrenamiento deportivo. El objetivo de este artículo fue analizar las características de las nuevas tendencias de la gestión del entrenamiento deportivo. Para lograrlo se realizó una revisión sistemática de literatura (SLR) de 415 artículos publicados, de enero 2012 a junio 2022, en las bases de datos Web of Science (WoS) y Scopus. Se trabajó con nueve preguntas que exploraron tres temas: características, tecnologías y diseños con líneas de innovación en la gestión del entrenamiento deportivo. La validación se dio con los criterios de la Universidad de York: inclusión y exclusión, pertinencia y descripción de datos, así como evaluación de pares en el análisis. Los hallazgos dan cuenta de redes de co-términos, identificación de innovaciones en la gestión del entrenamiento deportivo y tipos de diseños de gestión que están siendo trabajados en líneas de investigación e innovación en el entrenamiento deportivo. Se concluye que la gestión del entrenamiento de-portivo aporta una combinación de características, estrategias y procesos para abordar la complejidad del entrenamiento deportivo, con comprensión holística, interdisciplinar y cambio en la forma de hacer investigación en estos tiempos. Palabras clave: Gestión, entrenamiento, deporte, entrenamiento deportivo, bibliometría. Abstract. The advent of the big data era provides a more open and freer platform for sports training management, which also promotes the diversification of teaching content in macrocycles. Strengthen the integration and analysis of data resources, can improve the traditional sports training methods. The objective of this article was to analyze the characteristics of the new trends in sports training management. To achieve this, a systematic literature review (SLR) of 415 articles published, from January 2012 to June 2022, was carried out in the Web of Science (WoS) and Scopus databases. We worked with nine questions that explored three themes: characteristics, technologies, and designs with lines of innovation in sports training management. Validation was based on the criteria of the University of York: inclusion and exclusion, relevance and description of data, as well as peer review in the analysis. The findings show networks of co-terms, identification of innovations in sports training management, and types of management designs that are being worked on in line of research and innovation in sports training. It is concluded that the management of sports training contributes with a combination of characteristics, strategies, and processes to address the complexity of sports training, with holistic, interdisciplinary understanding and change in the way of doing research in these times.
... Toddlers refer to children aged 3-6, which is also the period of early childhood education. In kindergartens, as the space for this group to study and live, physical activity is one of the main educational methods, which has a positive effect and influence on the health and fitness of young children [1,2]. However, from the actual situation, the evaluation link is always a weak point in the development of physical activities in the early childhood stage, and it is difficult to draw scientific results, resulting in insufficient flexibility in children's physical activities [3]. ...
The physical health level of children in our country is relatively low and becoming worse with each passing day. In this context, the quality of children’s physical education has been given a higher degree of attention, and the arrival of the era of big data has provided a better development opportunity for children’s physical education, which has broken the traditional thinking of physical education. Further, it can significantly improve the education level of children’s physical education. Therefore, this study examines the importance of evaluating children’s sports performance and provides a plan for developing a system based on physical fitness using the concept of big data. The findings of this study suggest that the conduction of such a research study is of great importance and gives novel ideas for improving children’s physical activity environments. Using the concept of big data technology, the degree of physical fitness among children has dramatically improved. Further, it is envisaged that this research would bring out the optimal and evaluation direction of children’s physical activities in the current era.
... In a broad sense, ER refer to all resources related to educational activities, including educational human resources, educational financial resources, educational material resources, educational information resources, educational environmental resources, and educational technology resources. ER in a narrow sense refer to the core ER that are most directly and closely related to talent training, including university human resources, university curriculum resources, and university material resources [11,12]. This article is a research from the narrow sense of ER. ...
The word “sharing” is not unfamiliar to everyone now, but many people do not understand the sharing of educational resources (ER), and the distribution of ER does not seem to be the topic that people are most concerned about. This paper is aimed at conducting research on the construction of educational big data information intelligence based on resource sharing. A parallel association rule mining approach for educational big data is proposed in this research. Now, the educational big data is classified, and then, the data is operated. At the same time, a CcG-based educational information resource sharing platform has also been built for educational resource sharing, which can be used for cloud download and upload functions of cloud computing (CcG) for teaching and educational resource sharing. The experimental results of this paper show that the educational information resource sharing platform in this paper processes about 150 information per second, and its service performance must be better than that of traditional educational platforms.
... As a consequence, this article will concentrate on reforming university PE in the age of big data. Dong [17] investigated a big data embedded system to improve the efficiency of teaching physical skills and fulfill the demand for highly trained athletes. is research examines the significance of big data and embedded system approach to assess the college physical activity coaching information system about the big data mobile terminal. ...
Physical education (PE) is, in general, one of the most important skills developed for human healthiness. Many barriers exist in society to improve the performance in Chinese physical activities. Furthermore, the incorporation of 5G communication network technology is becoming a trend in the increase of physical activity in China on a daily basis. Physical exercise may assist Chinese people to enhance their mental abilities, self-concept, and goal orientation and avoid mental illnesses such as sadness and anxiety. Physical exercise without education is like having a body but no soul. There is no doubt about the value of physical education and other types of exercise in the educational system. In this paper, we propose refined physical education teaching based on 5G network technology to obtain everlasting data without termination. First, we preprocess the sports dataset using a stacked denoising autoencoder (SDAE), and a Gaussian Mixture Model (GMM) is utilized for the feature extraction process. A random forest approach (RFA) is then used in the selection of the features. Furthermore, we adopted a CNN-based upgraded classifier for classification and efficient data allocation (EDA) algorithm for storing data generated by the 5G network. Experimental results reveal that our proposed method outperforms the baseline methods by a huge margin.
... inking performance in sports cognitive activities: thinking is an essential psychological aspect for comprehending information and abilities, and comprehension is the product of thinking activities; it is the most important psychological aspect in creative learning; the law of inner unity of thinking and perception provides a theoretical foundation for inner imitation of sports cognition; the law of mutual promotion between thinking and problems provides a theoretical foundation for internalisation of sports cognition; and the law of mutual promotion between thinking and problems provides a theoretical foundation for internalisation of sports cognition. Students' sports cognitive capacity develops their ability to evaluate and solve issues while participating in sports, and it is a tangible application of the fact that thinking and problems progress each other [5,6]. erefore, the research on the influencing factors of college students' sports cognition in higher vocational colleges is helpful in understanding the psychological performance of college students from subjective and objective aspects and in forming lifelong sports thoughts, which is of great practical significance. ...
... Literature [22] put forward that improving health, perfecting personality, and developing emotional intelligence and sports experience are the main motives for college students to participate in sports activities. In literature [6], the focus of theoretical research on influencing factors of college students' sports cognition naturally shifts to the pursuit of maximising risk gain through the method of big data analysis, and college students' sports cognition becomes aggressive and creative behaviour; if the focus of research on influencing factors of college students' sports cognition is shifted to linking risks with risks and losses, people's risk behaviours are always defensive, that is, how to avoid losses. In literature [7], creativity is a kind of thinking skill as well. ...
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.
... Although managers can directly obtain clear information by using tools such as query, information such as relationships and trends hidden in a lot of data cannot be obtained from the data surface [9]. In literatures [10,11], after analyzing the problems of the application method theory of the traditional management information system in the C/S mode, the idea of improvement is put forward. Literature [12] holds that the supervision of university research funds requires that each project team should have at least two supervisors. ...
In China, universities are important centers for SR (scientific research) and innovation, and the quality of SR management has a significant impact on university innovation. The informatization of SR management is a critical component of university development in the big data environment. As a result, it is crucial to figure out how to improve SR management. As a result, this paper builds a four-tier B/W/D/C (Browser/Web/Database/Client) university SR management innovation information system based on big data technology and thoroughly examines the system’s hardware and software configuration. The SVM-WNB (Support Vector Machine-Weighted NB) classification algorithm is proposed, and the improved algorithm runs in parallel on the Hadoop cloud computing platform, allowing the algorithm to process large amounts of data efficiently. The optimization strategy proposed in this paper can effectively optimize the execution of scientific big data applications according to a large number of simulation experiments and real-world multidata center environment experiments.
The purpose of this article is to investigate the influence that practices using information technology (IT) have on the development of a competitive advantage across the supply chain. An organization has a competitive advantage when it has qualities that give the required foundations for it to separate itself from other organizations that are also in its industry. Pressure is applied to the corporate environment as a result of competition and ongoing changes, such as the introduction of new products and technical advancements, the decline of product lifestyles, and the proliferation of products. In order to maintain a competitive edge and achieve financial success in business, organizations are necessary for responding to changes in the market. Through the use of supply chain markets, companies are able to react quickly to unforeseen shifts in the market, and these shifts may be turned into lucrative business possibilities. One of the most significant things that firms can do to assist themselves is make use of information technology to improve their supply chain management agility. From March 2021 through January 2022, the area of China will have a total sample size of 247 persons fill out a questionnaire as part of the data collection process. In each and every questionnaire, the measurements were taken using a Likert scale with five points. The partial least square-structural equation modeling (PLS-SEM) approach is used to the causal model in order to assess the model’s reliability and validity. This technique is used to evaluate the causal model. The findings indicate that information technology has a favorable impact on the adaptability of supply chain management systems. In addition, the findings that were collected have shown that there are four factors that influence the SCM systems. These factors are the IT skills and knowledge, the integration of IT-based systems, the IT infrastructure, and the design of global position system and geographic information systems. In addition, this research offers practitioners recommendations for implementing digital technology for supply chain management and building suitable business strategies at various stages of digitalization.
Generally, physical education (PE) is one of the fundamental ability developments of human healthiness. In society, there are many challenges to enlarge the performance in Chinese physical activities. Also, the involvement of 5G communication network technology becomes an advent in physical activity expansion day-by-day in China. Physical activity can help to improve the Chinese's mental ability, self-concept, aim orientation and also prevent states like depression, anxiety, etc. Physical activity without education is like having a body without a soul. There is no debate about the importance of physical education and various forms of exercise in the overall educational system. The PE teaching performance of Chinese developed by several network technologies such as artificial neural networks, IoT, machine learning, This paper approaches the development and refinement in physical education teaching based on 5G network technology to obtain everlasting data without termination. Firstly the sports dataset can be pre-processed using a stacked denoising autoencoder (SDAE). Gaussian Mixture Model (GMM) is utilized for the feature extraction process. A random forest approach (RFA) can be used in the selection of the features. The classification is done by using a CNN-based upgraded classifier. An efficient data allocation (EDA) algorithm is used for storing data in a 5G network. The stored data can be enhanced by using the glowworm swarm optimization (GSO) technique. The result can be simulated in the MATLAB software tool. Finally, the performances such as accuracy, sensitivity, specificity, and memory utilization of various classifiers are analyzed in this paper.
