Algorithm Design Based on Multi-sensor Information Fusion and Greenhouse Internet of Things

Huang, Rui; Peng, Shuaibo; Chen, Wendi; Jiang, Shan; Wu, Zhe; Mu, Jiong; Pu, Haibo

doi:10.1007/978-981-15-2568-1_16

Cited by 3 publications

(2 citation statements)

References 4 publications

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“…The research purpose of this paper is mainly accomplished by five technical means: prediction, which refers to the comprehensive analysis of various factors such as classroom operation behavior, online discussion, test scores, and other factors in online teaching to judge whether the students' learning process is possible or not. Classification refers to dividing a data into multiple subsets with similar characteristics according to the characteristics of the data, such as dividing students into several groups according to their personality characteristics, cognitive level, and interaction methods and according to their characteristics; it can be tailored to the individual characteristics and behavior characteristics of students [12]. Association exploration refers to the association analysis of various variables in the data set and using it as a norm, such as exploring the relationship between students' learning behavior and academic performance in the online learning environment.…”

Section: Practical Approaches To the Application Of Bigmentioning

confidence: 99%

Application Research of Advanced Intelligent Big Data Analysis Based on Intelligent Sensor Network in the Design of Personalized Education Management System and the Construction of Innovation System

Deng

Duan

et al. 2022

Journal of Sensors

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With the continuous innovation and development of information technology and communication technology, human beings have entered a huge data center. In terms of big data, in-depth discussion on the in-depth application of big data is the current situation and development direction. Based on the intelligent sensor network, this paper conducts theoretical and empirical analysis combined with the application of individualized teaching in teaching and provides some reference opinions for the future development of individual pedagogy. On the basis of the research, the meaning of big data is explained from multiple perspectives. In the empirical research part, based on big data, based on real big data, and using relevant technologies in data mining, the relevance of each training program is analyzed. Mining was carried out using the FP-Growth method to analyze the correlation of each training scheme and optimize the FP-Growth method accordingly. The results of this experiment show that the use of big data can not only help teachers understand their students’ daily life, study habits, and consumption records but also make teachers’ work more dynamic, early warning, and subsidized. The research results are of great significance for guiding colleges and universities to formulate educational programs that are beneficial to students’ development, keep pace with the times, and cultivate modern educational technicians with modern significance.

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Section: Practical Approaches To the Application Of Bigmentioning

confidence: 99%

Application Research of Advanced Intelligent Big Data Analysis Based on Intelligent Sensor Network in the Design of Personalized Education Management System and the Construction of Innovation System

Deng

Duan

et al. 2022

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…A large amount of raw data is not very important for the results, and data fusion is a kind of problem for this type of problem, powerful means [7]. Digital city refers to the use of digital city theory; comprehensive use of key technologies such as geographic information systems, remote sensing, telemetry, network, multimedia, and virtual simulation; in-depth development and application of spatial information resources; automatic collection and dynamic monitoring of urban infrastructure and functional mechanisms; and technical system for management and auxiliary decision-making services [8]. It includes two aspects: spatialized, networked, intelligent, and visual technology systems and urban system systems based on spatial information [9].…”

Section: Introductionmentioning

confidence: 99%

Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things

Xiao

2021

Mobile Information Systems

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The purpose of this article is to use the Internet of Things related technology to analyze the characteristics of multisource and easy-to-purchase data for the different types of planning data and different levels of cognitive needs of participants in the entire urban planning process. This paper uses the ontology idea to reconstruct the relationship between multisource and heterogeneous planning data including Internet of Things data, planning documents, and planning drawings, to design the data semantic relationship of the ontology model elements, define the relationship between the data types, and implement the ontology-based method. The semantic expression algorithm in the planning field facilitates the exchange of various planning participants’ understanding of the planning scheme, at the same time, according to the classification of multisource heterogeneous data features, logical reasoning of ontology relationships, filtering redundant information, and multisource heterogeneous planning data visualization. Finally, the information of the same nature collected by the sensor nodes of the Internet of Things is batched, and the calculated fusion information is closer to the true value through a series of weighting formulas. Experiments prove that the feature analysis method proposed in this paper can maintain a loss of 0.02% and achieve an accuracy rate of 79.1% when the overall characteristics of digital city planning are reduced by 67%, which effectively proves the multisource heterogeneous data feature analysis for digital city planning importance.

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Application of Internet-of-Things Wireless Communication Technology in Agricultural Irrigation Management: A Review

Tang,

Liang,

et al. 2024

Sustainability

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The integration of Internet-of-Things technology with traditional agricultural irrigation is a crucial factor in the advancement of traditional agricultural irrigation towards smart irrigation. Despite the widespread use of conventional irrigation methods in many areas, they lead to the significant wastage of both human and water resources. Therefore, the development of energy-saving and efficient intelligent irrigation systems through the application of Internet-of-Things technology and wireless communication technology is the way forward. This paper summarizes the common wireless communication technologies in the agricultural Internet of Things: Fifth-generation, WiFi, ZigBee, LoRa, and NB-IoT. The research status of the above wireless communication technology in agricultural irrigation management is discussed, and the agricultural irrigation management example using the above wireless communication technology is also presented. The advantages and limitations of the application of the above wireless communication technology in agricultural irrigation management are sorted out. Finally, this paper analyzes the challenges of data security issues, data fusion problems, intelligent irrigation system costs, power and energy problems, and system equipment failures faced by the use of IoT wireless communication technology in agricultural irrigation management. This review aims to assist researchers and users in choosing the most suitable wireless communication technology for diverse applications.

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Algorithm Design Based on Multi-sensor Information Fusion and Greenhouse Internet of Things

Cited by 3 publications

References 4 publications

Application Research of Advanced Intelligent Big Data Analysis Based on Intelligent Sensor Network in the Design of Personalized Education Management System and the Construction of Innovation System

Application Research of Advanced Intelligent Big Data Analysis Based on Intelligent Sensor Network in the Design of Personalized Education Management System and the Construction of Innovation System

Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things

Application of Internet-of-Things Wireless Communication Technology in Agricultural Irrigation Management: A Review

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