Book Review: The Data Revolution: Big Data, Open Data, Data Infrastructures and their Consequences

Specht, Doug

doi:10.1177/0163443715596318

Cited by 25 publications

(8 citation statements)

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“…The train monitoring system is mainly composed of four interconnected parts: display screen, digital hard disk video recorder, high-performance computer, camera, and alarm equipment [ 14 ].…”

Section: Railway Traffic Management Methodsmentioning

confidence: 99%

Railway Traffic Emergency Management Relying on Image Recognition Technology in the Context of Big Data

Dong

2022

Computational Intelligence and Neuroscience

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With the full popularity of China’s railwayization process, it has brought about the problem of the management ability of railway traffic safety. Railway traffic safety emergency management capabilities are low. When an accident occurs, clearer data cannot be obtained in the first time to have a general understanding of the accident. Therefore, the problem of organizing rescue has always plagued relevant railway workers. This study aims to study the improvement of railway traffic emergency management based on image recognition technology in the context of big data. To this end, this study proposes image recognition technology based on deep learning, and through the relayout of the railway traffic emergency management system, so that the railway traffic problems can be dealt within time as soon as they occur, and designed an experiment to explore the ability of image recognition. The results of the experiment show that the efficiency of the improved railway traffic emergency management system has increased by 27%, and the recognition capability has increased by 64%. It can very well help current railway workers to carry out emergency management for railway traffic safety.

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Section: Railway Traffic Management Methodsmentioning

confidence: 99%

Railway Traffic Emergency Management Relying on Image Recognition Technology in the Context of Big Data

Dong

2022

Computational Intelligence and Neuroscience

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“…e Spark architecture is shown in Figure 1. According to the big data processing process, the storage medium [5], streaming processing technology is a big data processing technology following the emergence of batch processing technology. e emergence of stream processing is mainly to solve the problem of slow timeliness of batch processing.…”

Section: Computer Big Datamentioning

confidence: 99%

Audience Dissemination Response Law and Action Mechanism Based on Internet Rumor Computer Big Data

Jiang

et al. 2022

Security and Communication Networks

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Various novel Internet rumors have also emerged. This article mainly researches the audience dissemination response law and the mechanism of action. This paper constructs a model of network rumor spreading. In the homogeneous network, we know that for the rumors that the initial infection rate is large, the increase caused by the herd phenomenon is not very large. For heterogeneous networks, we need to separately examine the increase of nodes and sparse nodes in the network under different initial infection rates. With the change of time, the number of nodes in each state will change due to interaction. When an ignorant person contacts a communicator, the ignorant person will be converted into a rumor communicator with a certain probability. Affected by the memory ability of individual user nodes, each online rumor support node and online rumor opposition node becomes an online ordinary user node with a constant probability f. Affected by the rumor support node, an online ordinary user node is transformed into a receiving unread node by a rumor support node with probability β at time t. Experimental data shows that when the herd effect is not considered, it is found that the transmission peak is 0.4328 at t = 10. When the herd effect is introduced, the spread of rumors reaches the transmission peak 0.5431 at t = 8. After the introduction of the herd effect, the peak value increased by 25.5%, and the time to reach the peak was shortened by 20%. The results show that computer big data technology has a significant inhibitory effect on the spread of Internet rumors.

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“…e heating metering is for the units and individuals that centrally provide heating in cities and towns. Use heat to measure and measure the heat supplied by the heat source of the heating system [18]. ere are mainly the following five common heating measurement methods: heat distribution measurement method, on-off time area method, flow temperature method, temperature area method, and household heat meter method, as given in Table 1.…”

Section: Planning and Construction Of Heat Metering Intelligent Managementmentioning

confidence: 99%

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

2021

Mobile Information Systems

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With the in-depth application of the Internet of Things, many emerging technologies are changing the global industry landscape on an unprecedented scale. At the same time, they also provide an opportunity for the development of intelligent management to break through the bottleneck. The proposal and evolution of the concept of intelligent management makes the development of management technology more advanced. Therefore, the introduction of the Internet of Things technology into intelligent management has very important research significance and value. First, conduct research on the origin and current situation of the Internet of Things technology at home and abroad and understand the relevant theories and cutting-edge technologies of the Internet of Things technology. Second, take the enterprise as an example to study the process flow and existing problems in the logistics link in the factory, combine the management concept of the Internet of Things, and integrate IC card identification technology, RFID radio frequency identification technology, barriers and ground sensing technology, and OPC/PLC. Third, combined with PLC/OPC technology, the design and integration of the software system and hardware system are realized. The experimental results show that the system modules have been tested to provide company information management, employee multifactor predictive analysis, and efficient batch efficiency evaluation, which has a certain value for company data management and data analysis and mining, and improve company efficiency by more than 30%.

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Book Review: The Data Revolution: Big Data, Open Data, Data Infrastructures and their Consequences

Cited by 25 publications

References 0 publications

Railway Traffic Emergency Management Relying on Image Recognition Technology in the Context of Big Data

Railway Traffic Emergency Management Relying on Image Recognition Technology in the Context of Big Data

Audience Dissemination Response Law and Action Mechanism Based on Internet Rumor Computer Big Data

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

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