Research on Visualization of Multi-Dimensional Real-Time Traffic Data Stream Based on Cloud Computing

Jia, Chaolong; Wang, Hanning; Li-li, Wei

doi:10.1016/j.proeng.2016.01.308

Cited by 13 publications

(5 citation statements)

References 17 publications

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“…Low Level Data visualization patterns and High-Level Data Visualization patterns will be decided basis the number of nodes available in the patterns and also it depends on the number of nodes available in the particular pattern to store the data [10].…”

Section: Data Visualization Patternsmentioning

confidence: 99%

Enhancing the Security of Data Stored in the Cloud using customized Data Visualization Patterns

Archana¹,

Murtugudde²

2022

IJACSA

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Cloud Computing is getting popularized with the invention of latest technologies like Big Data, Artificial Intelligence, Data Science etc. The biggest challenge faced by researchers is efficient ways of accessing the data and acquiring the required results. The efficiency of the system will help the researchers to go one step further in the field of cloud computing. Alongside of storing the data in an optimal way, one biggest challenge faced by the researchers is security. How best security can be enhanced for this data in order to protect the end system from data thefts and illegal attacks. In this paper the proposed research concentrates on customized data visualization techniques that have been developed in order to store the data and also enhance the data security. These visualization patterns are dynamic in nature and can be further extended based on the need and level of the security required by the application. The proposed research in this paper will help researchers to implement the data visualization techniques with enhanced security in the real time data stored in the cloud from unauthorized access and various attacks like Malware etc. and these data patterns are dynamic in nature which will be selected based on the number of fragments need to be stored pertaining to particular cluster or region. The patterns will be selected based on two factors basically, one is the number of fragments and another important factor is how many nodes are available in the pattern. This proposed research will give an additional strength to the Cloud Computing Platforms like AWS and Google Cloud where the customers can feel that their data is in safe hands. Today when we are living in the data world, the need of this system is very much essential as it enhances the security of the data.

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Section: Data Visualization Patternsmentioning

confidence: 99%

Enhancing the Security of Data Stored in the Cloud using customized Data Visualization Patterns

Archana¹,

Murtugudde²

2022

IJACSA

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“…Knowledge visualization consists of exploring the use of visual representations in the form of graphs, diagrams, drawings, sonographs etc. to enhance knowledge creation and transfer between at least two people [11,12]. Eppler views KV as the use of graphics to create, integrate and administer knowledge [13].…”

Section: What Is Knowledge Visualization?mentioning

confidence: 99%

Knowledge Transfer in Science Education: The Case for Usability-Based Knowledge Visualization Guidelines

Fadiran¹,

Biljon²,

Schoeman³

2020

Lecture Notes in Computer Science

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There is growing evidence that visualization aids knowledge transfer. However, the cases where learners have been actively involved as cocreators of knowledge visualization aids are limited. Furthermore, employing knowledge visualization for teaching and learning in high-school science have been proposed but empirical evidence of the effect on knowledge transfer is limited. The purpose of this study is to report on the knowledge transfer effect of applying usability-based knowledge visualization guidelines. A design-based research methodology guided by pragmatism was applied. The data capturing methods include a questionnaire-based survey, interviews and observations. The results suggest that the use of knowledge visualization can support knowledge transfer and the students' learning experience in secondary school education, but more research is required to confirm this. The contribution of this paper is to add to the emerging discourse on the use of knowledge visualization for teaching and learning, and to report on how knowledge visualization guidelines can be used in practice.

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“…These tools provide intuitive and user-friendly interfaces that allow the end user to effectively interact with large and complex data. However, most of the previous studies focused on traffic data for enhancing the effectiveness and efficiency of the visualization methods (Zeng et al, 2013, Ferreira et al, 2013, Chen et al, 2015, Chaolong et al, 2016. Very few studies have been carried out for asset data.…”

Section: Related Studies On Transportation Asset Visualization and Knmentioning

confidence: 99%

Visual Exploration of Large Transportation Asset Data using Ontology-Based Heat Tree

Le¹,

Le²,

Jeong³

et al. 2018

IJT

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Research on Visualization of Multi-Dimensional Real-Time Traffic Data Stream Based on Cloud Computing

Cited by 13 publications

References 17 publications

Enhancing the Security of Data Stored in the Cloud using customized Data Visualization Patterns

Enhancing the Security of Data Stored in the Cloud using customized Data Visualization Patterns

Knowledge Transfer in Science Education: The Case for Usability-Based Knowledge Visualization Guidelines

Visual Exploration of Large Transportation Asset Data using Ontology-Based Heat Tree

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