Application and Research of the Intelligent Management System Based on Internet of Things Technology in the Era of Big Data

Lv, Xiaojing; Li, Minghai

doi:10.1155/2021/6515792

Cited by 92 publications

(57 citation statements)

References 21 publications

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“…The proposed method performs well in most cases, reaching 90.8% for coarse classification, 76.6% for medium classification, and 73.4% for fine classification. GKSC has better performance than KNN, and in medium classification experiments, the performance of GKSC is similar to KNN [24]. However, in most cases, the performance of both KNN and GKSC degrades as the classification accuracy increases.…”

Section: Resultsmentioning

confidence: 85%

Application of Intelligent Recognition Technology in Recognition of Mechanical Material Structure

Zhang

Wang

Wu³

et al. 2022

Wireless Communications and Mobile Computing

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In order to solve the related problems of mechanical material structure identification, the author proposes a method that integrates intelligent identification technology into mechanical material identification. Intelligent image recognition technology is based on image features, focusing on the main features of each image, and eliminates redundant input information, finds the key information needed, and completes the sorting of image information in stages to form a complete intuitive image. The experimental results show that the proposed method performs well in most cases, reaching 90.8% for coarse classification, 76.6% for medium classification, and 73.4% for fine classification. It is proved that artificial intelligence recognition technology is of great significance for the application of mechanical material structure recognition.

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Section: Resultsmentioning

confidence: 85%

Application of Intelligent Recognition Technology in Recognition of Mechanical Material Structure

Zhang

Wang

Wu³

et al. 2022

Wireless Communications and Mobile Computing

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“…It is reported that there are currently about 300 million hypertensive patients in 2020 in China and this number is still growing. Chronic diseases have become the number one killer of urban populations [ 1 ]. On the other hand, due to the uneven distribution of medical resources, there are urban-rural differences and regional differences.…”

Section: Introductionmentioning

confidence: 99%

An Intelligent Collection System of Big Data in Medical and Health Education Based on the Internet of Things

Wang¹

2022

Journal of Healthcare Engineering

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The Internet of Medical Things has developed rapidly as an important direction in the field of Internet of Things, especially through the use of the new generation of information technology, theoretical and applied research on medical IoT intelligent health management that provides “full-service.” It has become a research hotspot of many universities and research institutions. Therefore, conducting research on intelligent health management in the network of medical things is of great engineering importance and theoretical guidance to improve the level of medical information. For health management in the network of medical things to conduct research around the goal of health management “Everything full spectrum for everyone,” analyzed the lack of sharing of health information in current health management, lack of continuous monitoring and management of health indicators, etc., a new “individual-family-community-hospital” four-level intelligent health management service model is proposed, the hardware architecture of intelligent healthcare management and the software maintenance system have been built. Through methods such as real-time multi-source data collection, mobile sensing, cloud computing, multi-network fusion technology, continuous monitoring and intelligent management of health data is realized convenient, fast and efficient. It solves the problems that the existing medical system cannot meet the multi-level health needs, personal data security and privacy protection, etc., it has achieved the goal of real-time interactive health management of regionalization, multi-level and multi-center, and whole-person, whole-process and all-round.

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“…Customer preferences, market orientation, and policy changes are changing all the time, and even the entire ecological structure of the enterprise will change. If incumbent companies are greedy for the existing success and inherent stable model, they will be overtaken by latecomers and lose their former glory [20].…”

Section: Introductionmentioning

confidence: 99%

Enterprise Management Model Innovation and Performance Index Evaluation Based on the Era of Big Data

Xie¹

2022

Wireless Communications and Mobile Computing

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The innovation of enterprise management model has increasingly become one of the important sources of competitive advantage for enterprises. At present, the market environment is changing rapidly, and information technology is changing the nature and structure of enterprise competition. In the competitive landscape of enterprises under the background of network economy, only relying on technological innovation can no longer meet the needs of enterprise development. In recent years, the successful practice of a large number of enterprises has shown that the innovation of enterprise management mode is also an indispensable and important factor to promote the sustainable development of enterprises. In the new format of competition among enterprises, the innovation of enterprise management mode is playing an important role. Scholars have very rich research contents on the innovation of enterprise management model. First, they focus on the research between the innovation of enterprise management model and the value creation of enterprises. They believe that determining the structure of new business and innovation of enterprise management model can create value for enterprises. The innovation of enterprise management model can effectively explain the differences in enterprise performance; secondly, the research of enterprise management model innovation has been extended to its classification research; that is, different types of enterprise management model innovation have different effects on performance; finally, in the existing research, in this paper, some progress has been made in the exploration of the mediating variables between enterprise management model innovation and performance. The example verification shows that the performance of the momentum-adaptive algorithm is the best. Using the BP network model can effectively evaluate the innovation of enterprise management mode and performance indicators, so as to guide the implementation of enterprise management mode innovation activities. Although this paper has made some innovative achievements, there are still many limitations and deficiencies in the research. The depth of literature search, the breadth of data measurement collection, and the subjectivity of questionnaires will affect the accuracy of the results. The practicality of the research results needs to be further improved in the follow-up research.

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Application and Research of the Intelligent Management System Based on Internet of Things Technology in the Era of Big Data

Cited by 92 publications

References 21 publications

Application of Intelligent Recognition Technology in Recognition of Mechanical Material Structure

Application of Intelligent Recognition Technology in Recognition of Mechanical Material Structure

An Intelligent Collection System of Big Data in Medical and Health Education Based on the Internet of Things

Enterprise Management Model Innovation and Performance Index Evaluation Based on the Era of Big Data

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