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)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

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.

show abstract

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

View full text Add to dashboard Cite

show abstract

“…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

View full text Add to dashboard Cite

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.

show abstract

“…If the technology of employees is insufficient, it can have a negative impact on the system efficiency, which is also the current situation of land and a large number of information systems in the resource industry, but still not greatly improved the work efficiency. Therefore, it is necessary to ensure that the big data system of land resources carries people's cognitive model and completes relevant work under the visual condition, so as to improve the work efficiency and quality [11][12][13].…”

Section: Realize Human-computer Interactionmentioning

confidence: 99%

Retracted: Application and Development of Big Data in Sustainable Utilization of Soil and Land Resources

Chen

Huang

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Land is an important part of our living environment. As far as China is concerned, the research on Sustainable Utilization of land resources is relatively late. At present, there is not a complete set of principles of land resource evaluation index system in China. The relevant research is more theoretical, and the actual application cases are less. In the context of the urgent need for development of the national economy, it is an urgent problem to improve the sustainable utilization rate of land resources, which will directly affect the structural reform and the overall strategy of our country. Therefore, based on the big data of the Internet of things, combined with RS and GIS and other related intelligent technologies, this paper establishes a set of evaluation model for the sustainable use of land resources. The method in this paper is to establish the index evaluation system first, then carry out data preprocessing through GIS and RS technology, and finally use big data technology for data mining. According to the actual situation of land resources in China, Delphi method is used as the main qualitative technical analysis method to set a reasonable weight for the evaluation index system of land resources. In order to verify the effect of this method, when analyzing the land resource data of a county from 2009 to 2018, this paper carried out four experiments including the overall trend analysis of land sustainable utilization. The experimental data results show that the use of big data in this paper has achieved ideal results in the application of land resource sustainable utilization, and to a certain extent, it fills in the big data and land The case study in the field of sustainable utilization of resources is a good method and has a broad application prospect.

show abstract

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

Retracted: Application and Development of Big Data in Sustainable Utilization of Soil and Land Resources

Contact Info

Product

Resources

About