scholarly journals Promises and challenges of Blockchain in education

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Jae Park
Keyword(s):  
Big Data ◽  
Slow Rate ◽  
Network Neutrality ◽  
Technology In Education ◽  
Net Neutrality ◽  
Accreditation System ◽  
Blockchain Technology ◽  
Theoretical Paper ◽  
Collective Development ◽  
And Control

AbstractBlockchain is arguably the next technology-mediated socioeconomic mega trend after the ongoing era of Net Neutrality and Big Data. This theoretical paper explores blockchain technology and its impacts on education. It is argued that we cannot take for granted that the network neutrality, popularized accessibility of the Internet and its influence on education will remain as we know it today. Blockchain promises, among others, a greater control over financing and investing in education, implementing instructional projects, a certification/accreditation system and learning. Education blockchain with its distributed ledgers would set novel standards of crypto-learning and crypto-administration that are acceptable across organizations and nations, enhancing thus the objectivity, validity and control of information without being compromised by socio-economic instabilities. The slow rate of adoption of blockchain technology in education reflects the rate in the fields of finance and management but, at the same time, it poses a few critical challenges such as lacking tangible incentives for technology maintenance or ‘blockchain mining’ (inward sustainability) coupled with a rather feeble orientation to collective development of education (outward sustainability).

scholarly journals Artificial intelligence and cyber-physical mechanical processing systems in digital industry

2018 ◽  
Vol 226 ◽  
pp. 05001
Author(s):  
Yuri Kabaldin ◽  
Dmitrii Shatagin
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Mechanical Processing ◽  
Industrial Internet Of Things ◽  
Cnc Machines ◽  
Blockchain Technology ◽  
Future State ◽  
Industrial Internet ◽  
Technology Group ◽  
And Control

The article suggests new approaches to the creation and control of cyber-physical machining systems in the digital industry. Features of the use of artificial intelligence and the possibilities of big data for analyzing the current and future state of CNC machines are considered. A specialized neuromorphic chip is proposed, with the possibilities for deep learning, for control and sharing knowledge between CNC machines as part of a technology group. The features of the use of blockchain technology in digital industry with the use of the industrial Internet of things are shown.

HIV digital vaccine strategy: An application of blockchain technology in preventing the spread of HIV (Preprint)

2019 ◽  
Author(s):  
Jia Liu ◽  
Zhe Wang ◽  
Dingyong Sun ◽  
Xiying Wang
Keyword(s):  
High Risk ◽  
Vaccine Strategy ◽  
Surveillance Network ◽  
High Risk Sexual Behavior ◽  
Blockchain Technology ◽  
Control And Prevention ◽  
Heavy Burden ◽  
Promising Solution ◽  
Susceptible Populations ◽  
And Control

UNSTRUCTURED The HIV epidemic imposes a heavy burden on societal development. Presently, the protection of susceptible populations is the most feasible method for eliminating the spread of HIV. Governments and other relevant industries are actively attempting to solve the problem. In view of the unavailability of biological vaccines, the best measures that can currently be applied are identification of HIV-infected persons and provision of treatment and behavioral intervention. This paper proposes a HIV digital vaccine strategy based on blockchain technology. In the proposed strategy, a decentralized surveillance network is jointly constructed using HIV high-risk individuals as application nodes and accredited testing agencies as authentication nodes. Following testing at the authentication nodes, the results are uploaded to the blockchain, which results in HIV high-risk individuals being able to determine the HIV infection status of each other in a convenient, anonymous, and credible manner. This reduces the occurrence of high-risk sexual behavior and effectively protects susceptible populations. The proposed strategy is a promising solution to prevent the spread of HIV. The performance of the decentralized surveillance network may lead to the restructuring of current government-funded infectious disease prevention and control modes that are centered on centers for disease control and prevention and hospitals to introduce revolutionary changes in public health systems globally.

Money Code Space

2020 ◽  
Author(s):  
Jack Parkin
Keyword(s):  
Open Source Software ◽  
Global Economy ◽  
Research Problem ◽  
Blockchain Technology ◽  
Distributed Ledger ◽  
Start Up ◽  
Challenging Research ◽  
Digital Politics ◽  
Financial Transactions ◽  
And Control

Newly emerging cryptocurrencies and blockchain technology present a challenging research problem in the field of digital politics and economics. Bitcoin—the first widely implemented cryptocurrency and blockchain architecture—seemingly separates itself from the existing territorial boundedness of nation-state money via a process of algorithmic decentralisation. Proponents declare that the utilisation of cryptography to advance financial transactions will disrupt the modern centralised structures by which capitalist economies are currently organised: corporations, governments, commercial banks, and central banks. Allegedly, software can create a more stable and democratic global economy; a world free from hierarchy and control. In Money Code Space, Jack Parkin debunks these utopian claims by approaching distributed ledger technologies as a spatial and social problem where power forms unevenly across their networks. First-hand accounts of online communities, open-source software governance, infrastructural hardware operations, and Silicon Valley start-up culture are used to ground understandings of cryptocurrencies in the “real world.” Consequently, Parkin demonstrates how Bitcoin and other blockchains are produced across a multitude of tessellated spaces from which certain stakeholders exercise considerable amounts of power over their networks. While money, code, and space are certainly transformed by distributed ledgers, algorithmic decentralisation is rendered inherently paradoxical because it is predicated upon centralised actors, practices, and forces.

scholarly journals Tuberculosis in Epidemic Prevention and Control Based on Big Data Technology

2021 ◽  
Vol 1881 (4) ◽  
pp. 042036
Author(s):  
Jiao Tan ◽  
Yonghong Ma ◽  
Ke Men ◽  
Jing Lei ◽  
Hairui Zhang ◽  
...  
Keyword(s):  
Big Data ◽  
Prevention And Control ◽  
And Control ◽  
Big Data Technology

scholarly journals Blockchain Disrupting Fintech and the Banking System

Proceedings ◽  
2021 ◽  
Vol 74 (1) ◽  
pp. 24
Author(s):  
Eduard Alexandru Stoica ◽  
Daria Maria Sitea
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Big Data ◽  
Financial Institutions ◽  
New World ◽  
Great Part ◽  
Banking System ◽  
Daily Activities ◽  
Blockchain Technology ◽  
Almost All

Nowadays society is profoundly changed by technology, velocity and productivity. While individuals are not yet prepared for holographic connection with banks or financial institutions, other innovative technologies have been adopted. Lately, a new world has been launched, personalized and adapted to reality. It has emerged and started to govern almost all daily activities due to the five key elements that are foundations of the technology: machine to machine (M2M), internet of things (IoT), big data, machine learning and artificial intelligence (AI). Competitive innovations are now on the market, helping with the connection between investors and borrowers—notably crowdfunding and peer-to-peer lending. Blockchain technology is now enjoying great popularity. Thus, a great part of the focus of this research paper is on Elrond. The outcomes highlight the relevance of technology in digital finance.

Off-office audit of natural resource assets and water pollution: a quasi-natural experiment in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Xiaowei Ma ◽  
Muhammad Shahbaz ◽  
Malin Song
Keyword(s):  
Water Pollution ◽  
Big Data ◽  
Water Resources ◽  
Natural Resource ◽  
Prevention And Control ◽  
Industrial Structure ◽  
Dynamic Effect ◽  
Content Type ◽  
Audit System ◽  
And Control

PurposeThe purpose of this paper is to analyze the impact of the off-office audit of natural resource assets on the prevention and control of water pollution against a background of big data using a differences-in-differences model.Design/methodology/approachThis study constructs a differences-in-differences model to evaluate the policy effects of off-office audit based on panel data from 11 cities in Anhui Province, China, from 2011 to 2017, and analyzes the dynamic effect of the audit and intermediary effect of industrial structure.FindingsThe implementation of the audit system can effectively reduce water pollution. Dynamic effect analysis showed that the audit policy can not only improve the quality of water resources but can also have a cumulative effect over time. That is, the prevention and control effect on water pollution is getting stronger and stronger. The results of the robustness test verified the effectiveness of water pollution prevention and control. However, the results of the influence mechanism analysis showed that the mediating effect of the industrial structure was not obvious in the short term.Practical implicationsThese findings shed light on the effect of the off-office audit of natural resource assets on the prevention and control of water pollution, and provide a theoretical basis for the formulation of relevant environmental policies. Furthermore, these findings show that the implementation of the audit system can effectively reduce water pollution, which has practical significance for the sustainable development of China's economy against the background of big data.Originality/valueThis study quantitatively analyzes the policy effect of off-office auditing from the perspective of water resources based on a big data background, which differs from the existing research that mainly focuses on basic theoretical analysis.

scholarly journals RESEARCH ON REMOTE OPERATING SYSTEM OF PICKING ROBOT BASED ON BIG DATA AND WIFI

2021 ◽  
pp. 447-456
Author(s):  
Beibei Sun
Keyword(s):  
Operating System ◽  
Big Data ◽  
Remote Monitoring ◽  
Agricultural Production ◽  
Recognition System ◽  
Main Mode ◽  
Agricultural Robots ◽  
Remote Monitoring System ◽  
Modern Agriculture ◽  
And Control

Agricultural mechanization has become the main mode of agricultural production and represents the development direction of modern agriculture. The amount of data generated in the agricultural production process is extremely huge, so it is necessary to introduce the concept and analysis method of big data. Combining agricultural robots with big data can improve the performance and application effect of robots. This paper combines big data, WLAN technology and robot technology to realize man-machine remote cooperation platform. This gives full play to the advantages that people are good at object recognition and robots are good at execution, and improves the fruit picking efficiency. The target fruit positioning and recognition system aided by machine vision is adopted to realize the accurate positioning of the fruit to be picked. Design of LFM control signal fitting based on big data clustering. In order to verify the feasibility of the scheme, taking the tomato picking robot as an example, the communication error and control accuracy using big data and WIFI (Wireless Fidelity) technology were tested, and the positioning and navigation efficiency with and without remote monitoring system was compared. Test results show that using big data and WIFI remote monitoring technology can effectively improve the efficiency and accuracy of positioning and navigation of remote operating system, which is of great significance for the design of automatic control system of picking robot.

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