Analytical Review of Data Visualization Methods in Application to Big Data

The paper reviews the current situation of the Augmented Reality and Internet of Things markets. The implementing possibilities of AR for Big Data visualization from IoT devices are considered in this paper. The review and the analysis of methods, tools, products and data system of the visualization are presented. The paper provides an overview of the programs and devices of Augmented Reality, and an overview of development environments. The paper presents the existing classifications of computerized data visualization tools and proposes new classification, which takes into account interactive visualization, the purpose of the tool, the type of software product, the availability of ready-made templates, and other characteristics. The article proposes the architecture of the system for collecting data from IoT endpoint devices based on the Heltec modules. Experiments based on the developed experimental stand were carried out with Heltec devices of both versions to determine the number of losses with increasing distance between the sending device and the receiving device. The results of measuring the power consumption of these devices are presented in two modes: in standby mode and when sending a message to the Heltec endpoint device and in standby mode and when receiving a message for the base station. These studies were conducted using various data transfer protocols (LoRa, Wi-Fi and Bluetooth). The paper presents the result of the development of a digital twin of a university building and the development of augmented reality software for receiving data from real-time data collection devices.

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“…The following problems exist in Big Data visualization [16]:  Visual noise. Most of the objects in the dataset are too relative to each other.…”

Section: Analysis Of Big Data Visualization Methodsmentioning

confidence: 99%

Big Data, Internet of Things, Augmented Reality: technology convergence in visualization issues

Smuseva

Rolich

Voskov

et al. 2019

Proceedings of the v International Conference Information Technology and Nanotechnology 2019

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“…The data science is interlinked with several disciplines including informatics, mathematics, social sciences, network science, economics and etc. Hence, alongside with mathematics, statistics and informatics, the fundamentals of BD processing and analytics are constituted by various methods and theories, including the probability theory, image recognition, neural networks, intellectual analysis [32,33], machine learning [34], signal processing, natural language processing, forecast analysis, visualization [35,36], optimization, statistical methods [37], programming, engineering, the modelling of uncertainties, high productivity computations and etc.…”

Section: Figure 1 Distribution Of Research Work On Big Data In Googmentioning

confidence: 99%

“…Overall, the data visualization is one of the most simple and natural methods in data processing and analysis. This method allows a person to get familiar with presented information instantly and to make optimal decisions by correctly assessing the results [36,35].…”

Section: Processing Problem Includes the Collection Of Valid Informatmentioning

confidence: 99%

See 1 more Smart Citation

Current Scientific and Theoretical Problems of Big Data

Alguliyev¹,

Hajirahimova²,

Aliyeva³

2016

JPIS

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A very large size of digital data has been generated in the world in view of the technical and technological development in the recent decade. As a result, a notion of "big data" has emerged; nowadays, it has become an important topic that is broadly discussed in newspaper and journal articles, blogs and etc. Alongside with creating new prospects for the modern society, "Big data" has also brought about some problems for researchers. Unlike the mass media and the business sector, the notion of "big data" is reviewed as a scientific-research object in this article, and a short comment on "big data" concept is provided. The main factors underlying its development as a research direction are presented. Moreover, current scientific and theoretical issues in the focus of researchers are also analyzed.

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“…Výsledky analýz jsou prezentovány ve dvou základních formách, které doporučují Gorodov a Gubarev (2013). Buď v agregované podobě, což jsou nejčastěji grafy, nebo v podobě detailu nalezeného záznamu.…”

Section: Prezentace Výsledků Analýzunclassified

Tools for Automatic Recognition of Persons and their Relationships in Unstructured Data

Ráček¹,

Ministr²

2014

AIP

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Analytical Review of Data Visualization Methods in Application to Big Data

Cited by 60 publications

References 8 publications

Big Data, Internet of Things, Augmented Reality: technology convergence in visualization issues

Big Data, Internet of Things, Augmented Reality: technology convergence in visualization issues

Current Scientific and Theoretical Problems of Big Data

Tools for Automatic Recognition of Persons and their Relationships in Unstructured Data

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