scholarly journals Portable Smart Spectrometer Integrated with Blockchain and Big Data Technology

2019 ◽  
Vol 9 (16) ◽  
pp. 3279
Author(s):  
Yin ◽  
Yang ◽  
Hong ◽  
Cai ◽  
Yu
Keyword(s):  
Big Data ◽  
Spectral Analysis ◽  
Spectral Data ◽  
Analysis Data ◽  
The Internet ◽  
Blockchain Technology ◽  
Big Data Technologies ◽  
Analysis System ◽  
Analysis Models ◽  
Big Data Technology

A portable smart spectrometer (PSS-1.0) and related systems have been designed and implemented to provide rapid on-site spectral analysis and lower the operator knowledge threshold for the application of spectrometry. The PSS-1.0 employs spectral analysis models downloaded from the spectral analysis system for offline spectral analysis and displays the results in the field. Users are incentivized to upload spectral analysis data to the Internet for storage by big data technologies, so that the spectral data can be reused easily. By employing blockchain technology it can be ensured that the data has not been tampered with, which can be used in monitoring and data transaction scenarios. The design of this spectrometer and related systems can be used for regulatory uses that require spectroscopy. Experimental results are presented in this paper, which prove that the design of the PSS-1.0 is feasible. The purpose of this paper is to design a civilian and non-operator knowledge threshold spectrometer and provide some ideas for better processing and utilization of spectral data.

Big-Data-Based Techniques for Predictive Intelligence

2019 ◽  
pp. 1-18
Author(s):  
Dharmpal Singh ◽  
Madhusmita Mishra ◽  
Sudipta Sahana
Keyword(s):  
Big Data ◽  
Competitive Advantage ◽  
Predictive Analytics ◽  
Unstructured Data ◽  
Security Issue ◽  
Operational Costs ◽  
Big Data Technologies ◽  
Ending Process ◽  
Big Data Technology

Big-data-analyzed finding patterns derive meaning and make decisions on data to produce responses to the world with intelligence. It is an emerging area used in business intelligence (BI) for competitive advantage to analyze the structured, semi-structured, and unstructured data stored in different formats. As the big data technology continues to evolve, businesses are turning to predictive intelligence to deepen the engagement to customers with optimization in processes to reduce the operational costs. Predictive intelligence uses sets of advanced technologies that enable organizations to use data stored in real time that move from a historical and descriptive view to a forward-looking perspective of data. The comparison and other security issue of this technology is covered in this book chapter. The combination of big data technology and predictive analytics is sometimes referred to as a never-ending process and has the possibility to deliver significant competitive advantage. This chapter provides an extensive review of literature on big data technologies and its usage in the predictive intelligence.

Digital Degradation

2020 ◽  
pp. 113-136
Author(s):  
Sarah Esther Lageson
Keyword(s):  
Big Data ◽  
Criminal Justice ◽  
Criminal Justice System ◽  
Social Inequality ◽  
Justice System ◽  
Digital Technologies ◽  
The Internet ◽  
Technological Systems ◽  
Big Data Technologies ◽  
The Government

Interviews with more than 100 people whose records appear online show how the ability to manage digital punishment is directly tied to a person’s familiarity with technological systems and their faith in bureaucracy. Instead of confronting the government or the criminal justice system, many people engage in digital avoidance, afraid that any attempts will only make the problem worse. This intersection between the criminal justice system and technology reproduces social inequality at the speed of the internet, disproportionately impacting people who have less access to and command over digital technologies. This chapter discusses the qualities of digital punishment, the strategies people who are experiencing digital punishment deploy to deal with their online stigma, and an explanation for why many people choose to engage in digital avoidance rather than try to have their online record removed. Rooted in theories of the digital divide and the disparate impact of big data technologies, the chapter concludes with a discussion of how digital punishment challenges long-held theories of criminal stigma, desistance, and rehabilitation.

scholarly journals Main characteristics and prospects of big data technologies application

2021 ◽  
Vol 79 (1) ◽  
pp. 342-351
Author(s):  
S.K. Serikbayeva ◽  
◽  
A.A. Turdybek ◽  
Keyword(s):  
Big Data ◽  
Big Data Technologies ◽  
Big Data Technology

The article is devoted to an overview of the Big Data technology and its features. The main characteristics are given that make it possible to distinguish this technology from others, the principles of working with it, which allow the analysis to be carried out as efficiently as possible. The necessity of using and the prospects of using Big Data technologies is substantiated, the results of using this technology are considered. The analysis of existing software hardware used for analysis and processing of big data, such as MapReduce and NoSQL, is carried out, their advantages and features are highlighted.

scholarly journals MANAGEMENT OF BIG DATA IN THE CONTEMPORARY WORLD

2021 ◽  
Author(s):  
Anjaneyulu Jinugu ◽  
Sreechandana Kodimela ◽  
Madhavi Laitha V V
Keyword(s):  
Big Data ◽  
Technology Adoption ◽  
Sustainable Development Goals ◽  
Research Work ◽  
Exploratory Research ◽  
The Sustainable Development ◽  
Contemporary World ◽  
Big Data Technologies ◽  
Development Goals ◽  
Big Data Technology

It is strongly believed that technology can reap the best only when it can be tamed by all stakeholders. Big data technology has no exception for this and even after a decade of emergence, the technology is still a herculean task and is in nascent stage with respect to applicability for many people. Having understood the gaps in the technology adoption for big data in the contemporary world, the present exploratory research work intended to highlight the possible prospects of big data technologies. It is also advocated as to how the challenges of various fields can be converted as opportunities with the shift in the perspective towards this evolving concept. Examples of apex organizations like (IMF and ITU) and their initiatives of big data technologies with respect to the Sustainable Development Goals (SDGs) are also cited for a broader outlook. The intervention of the responsible organizations along with the respective governments is also much sought for encouraging the technology adoption across all the sections of the market players.

scholarly journals Hierarchically Authorized Transactions for Massive Internet-of-Things Data Sharing Based on Multilayer Blockchain

2019 ◽  
Vol 9 (23) ◽  
pp. 5159 ◽  
Author(s):  
Shichang Xuan ◽  
Yibo Zhang ◽  
Hao Tang ◽  
Ilyong Chung ◽  
Wei Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Protection ◽  
High Performance ◽  
The Internet ◽  
Blockchain Technology ◽  
And Storage ◽  
The Internet Of Things

With the arrival of the Internet of Things (IoT) era and the rise of Big Data, cloud computing, and similar technologies, data resources are becoming increasingly valuable. Organizations and users can perform all kinds of processing and analysis on the basis of massive IoT data, thus adding to their value. However, this is based on data-sharing transactions, and most existing work focuses on one aspect of data transactions, such as convenience, privacy protection, and auditing. In this paper, a data-sharing-transaction application based on blockchain technology is proposed, which comprehensively considers various types of performance, provides an efficient consistency mechanism, improves transaction verification, realizes high-performance concurrency, and has tamperproof functions. Experiments were designed to analyze the functions and storage of the proposed system.

Physical Exercise Rehabilitation System Based on Internet of Things and Big Data Technology

2021 ◽  
Author(s):  
Nana Zhao ◽  
Yinzhong Yan ◽  
Xiao Han ◽  
Gaofei Zhang ◽  
Long Chen
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Physical Exercise ◽  
Data Processing ◽  
Human Vision ◽  
The Internet ◽  
Exercise Rehabilitation ◽  
Rehabilitation System ◽  
The Internet Of Things ◽  
Big Data Technology

Abstract With the combination of big data technology and the Internet of Things and exercise rehabilitation, we are also facing the problem of processing massive amounts of data. Whether these data can be used well has become the key to obtaining good business benefits and improving user experience. This paper applies the Internet of Things and big data technology to the physical exercise rehabilitation system to improve the sports data processing and combine with the big data processing technology to explore the factors affecting the effect of exercise rehabilitation to improve the effect of physical exercise rehabilitation. Moreover, this paper proposes a posture recognition algorithm based on human vision, and defines the human posture described by the feature, which improves the classifier's ability to classify different posture data. Finally, this paper combines experimental analysis to verify the effect of the method in this paper. From the research results, it can be seen that the method constructed in this paper has a good rehabilitation effect of physical exercise.

Big Data Technologies and Analytics

2014 ◽  
Vol 1 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Hoda Ahmed Abdelhafez
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Case Studies ◽  
Real World ◽  
Lessons Learned ◽  
The Internet ◽  
Time Data ◽  
Real Time Data ◽  
Big Data Technologies ◽  
Data Volume

The internet era creates new types of large and real-time data; much of those data are non-standard such as streaming and sensor-generated data. Advanced big data technologies enable organizations to extract insights from sophisticated data. Volume, variety and velocity represent big data challenges, which cause difficulties in capture, storage, search, sharing, analysis and visualization. Therefore, technologies like No-SQL, Hadoop and cloud computing used to extract value from large volumes and a wide variety of data to discover business needs. This article's goal is to focus on the challenges of big data and how the recent technologies can be used to address those issues, which are illustrated through real world case studies. The article also presents the lessons learned from these case studies.

scholarly journals Big Data Research in Fighting COVID-19: Contributions and Techniques

2021 ◽  
Vol 5 (3) ◽  
pp. 30
Author(s):  
Dianadewi Riswantini ◽  
Ekasari Nugraheni ◽  
Andria Arisal ◽  
Purnomo Husnul Khotimah ◽  
Devi Munandar ◽  
...  
Keyword(s):  
Big Data ◽  
Social Life ◽  
Human Life ◽  
Open Data ◽  
Analytical Techniques ◽  
Government Officials ◽  
Big Data Technologies ◽  
And Mathematics ◽  
One Year ◽  
Big Data Technology

The COVID-19 pandemic has induced many problems in various sectors of human life. After more than one year of the pandemic, many studies have been conducted to discover various technological innovations and applications to combat the virus that has claimed many lives. The use of Big Data technology to mitigate the threats of the pandemic has been accelerated. Therefore, this survey aims to explore Big Data technology research in fighting the pandemic. Furthermore, the relevance of Big Data technology was analyzed while technological contributions to five main areas were highlighted. These include healthcare, social life, government policy, business and management, and the environment. The analytical techniques of machine learning, deep learning, statistics, and mathematics were discussed to solve issues regarding the pandemic. The data sources used in previous studies were also presented and they consist of government officials, institutional service, IoT generated, online media, and open data. Therefore, this study presents the role of Big Data technologies in enhancing the research relative to COVID-19 and provides insights into the current state of knowledge within the domain and references for further development or starting new studies are provided.

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