scholarly journals Big Data, Scientific Programming, and Its Role in Internet of Industrial Things: A Decision Support System

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Ju Li ◽  
Muhammad Nazir Jan ◽  
Mohammad Faisal
Keyword(s):  
Big Data ◽  
Decision Support ◽  
Internet Of Things ◽  
Decision Support System ◽  
Support System ◽  
The Internet ◽  
Industrial Internet Of Things ◽  
Challenging Issue ◽  
Industrial Internet ◽  
The Internet Of Things

Big data is a challenging issue as its volume, shape, and size need to be modified in order to extract important information for a specific purpose. The amount of data is rising with the passage of time. This increase in volume can be a challenging issue to analyze the data for smooth industry and the Internet of things. Several tools, techniques, and mechanisms are available to support the handling and management process of such data. Decision support systems can be one of the important techniques which can support big data in order to make decisions on time. The proposed study presents a decision support system to deal with big data and scientific programming for the Industrial Internet of Things. The study has used the tool of SuperDecisions to plot the hierarchy of situations of big data and scientific programming and to select the best alternative among the available.

Industrial Internet of Things 4.0

2021 ◽  
pp. 172-191
Author(s):  
Vishwas D. B. ◽  
Gowtham M. ◽  
Gururaj H. L. ◽  
Sam Goundar
Keyword(s):  
Internet Of Things ◽  
Ubiquitous Computing ◽  
Industry 4.0 ◽  
Economies Of Scale ◽  
The Internet ◽  
Scientific Policy ◽  
Industrial Internet Of Things ◽  
Reference Guide ◽  
Industrial Internet ◽  
The Internet Of Things

In the era of mechanical digitalization, organizations are progressively putting resources into apparatuses and arrangements that permit their procedures, machines, workers, and even the products themselves to be incorporated into a solitary coordinated system for information assortment, information examination, the assessment of organization advancement, and execution improvement. This chapter presents a reference guide and review for propelling an Industry 4.0 venture from plan to execution, according to base on the economic and scientific policy of European parliament, applying increasingly effective creation forms, and accomplishing better profitability and economies of scale may likewise bring about expanded financial manageability. This chapter present the contextual analysis of a few Industry 4.0 applications. Authors give suggestions coordinating the progression of Industry 4.0. This section briefly portrays the advancement of IIoT 4.0. The change of ubiquitous computing through the internet of things has numerous difficulties related with it.

scholarly journals PROSPECTS FOR THE DEVELOPMENT OF THE INTERNET OF THINGS MARKET IN THE REPUBLIC OF BELARUS

2018 ◽  
pp. 49-62
Author(s):  
Yu. MELESHKO
Keyword(s):  
Internet Of Things ◽  
Industrial Sector ◽  
Economic Consequences ◽  
The Internet ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
The Republic ◽  
Use Of The Internet ◽  
The Internet Of Things ◽  
Development Prospects

The article considers the problems of the development of the industrial Internet of things in the Republic of Belarus as one of the system-forming technologies in the industrial sector. Based on the analysis of terminological features of the Internet of things, the concept and main characteristics of the industrial Internet of things are revealed. The economic consequences of using this technology in industrial production are shown. The formation and development of the Internet market of things in the Republic of Belarus in the context of its infrastructure component, spheres of use, main producers and consumers is considered. The factors preventing the wider use of the Internet of things in the industry of Belarus, and the development prospects of the market under consideration are revealed.

scholarly journals Cyber-physical systems of the industrial Internet of things

2021 ◽  
Vol 16 (92) ◽  
pp. 72-81
Author(s):  
Emil A. Gumerov ◽  
◽  
Tamara V. Alekseeva ◽  
Keyword(s):  
Information Security ◽  
Internet Of Things ◽  
Industrial Application ◽  
Cyber Physical Systems ◽  
The Internet ◽  
Cyber Physical System ◽  
Industrial Internet Of Things ◽  
Physical Systems ◽  
Industrial Internet ◽  
The Internet Of Things

Cyber-physical systems are a means of effectively managing industrial applications of the Internet of things. Physical layer cyber-physical system implements the control devices of the industrial Internet of things and intelligent algorithms digital system level provide management and information security applications. Effective management and information security determine the success of the industrial Internet of things, so the research topic is relevant. The purpose of this article is to develop an optimal architecture of a cyber-physical system based on the principles of data processing at the place of their occurrence and the application of a control action at the place of the problem occurrence. The authors were faced with the task of exploring all the possibilities associated with the application of the proposed principles and developing an optimal application architecture for the industrial Internet of things. In the study proposed the concept of intelligent application of industrial Internet of things, which enables processing of continuously generated data in their source and provides application control action to the location of the problem. The proposed solution: a) increases the information security of the industrial application of the Internet of things (data is not transmitted over the network) and b) prevents an attack on the software of the Industrial application of the Internet of things. The solution can be used by developers of industrial IoT systems to effectively launch and implement projects

The Role of Robotics Technology and Internet of Things for Industry 4.0 Realization

2021 ◽  
Vol 10 (2) ◽  
pp. 1331-1339
Keyword(s):  
Internet Of Things ◽  
Industrial Robots ◽  
Robotic Systems ◽  
The Internet ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Key Drivers ◽  
The Internet Of Things ◽  
And Robotics

Robotic systems can already proactively monitor and adapt to changes in a production line. Nowadays, internet of things and robotic systems are key drivers of technological innovation trends.Majorcompanies are now making investments in machine learning-powered approaches to improve in principle all aspects of manufacturing. Connecteddevices, sensors, and similar advancements allow people and companies to do things they wouldn't even dream of in earlier eras.For realizing it time series feature extraction approach is selected.Industrial internet of things solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, the industrial internet of things has significantly improved reliability, production, and customer satisfaction. The internet of things and robotics arecoming together to create the internet of robotic things. Industrial internet of thingis a subset of industry4.0. Itcan encourage smartness at a bigger level in industrial robots.

scholarly journals Toward Smart Traceability for Digital Sensors and the Industrial Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2019
Author(s):  
Sascha Eichstädt ◽  
Maximilian Gruber ◽  
Anupam Prasad Vedurmudi ◽  
Benedikt Seeger ◽  
Thomas Bruns ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Quality ◽  
Processing System ◽  
Smart Sensors ◽  
The Internet ◽  
Measurement Instruments ◽  
Industrial Internet Of Things ◽  
Digital Output ◽  
Industrial Internet ◽  
The Internet Of Things

The Internet of Things (IoT) is characterized by a large number of interconnected devices or assets. Measurement instruments in the IoT are typically digital in the sense that their indications are available only as digital output. Moreover, a growing number of IoT sensors contain a built-in pre-processing system, e.g., for compensating unwanted effects. This paper considers the application of metrological principles to such so-called “smart sensors” in the IoT. It addresses the calibration of digital sensors, mathematical and semantic approaches, the communication of data quality and the meaning of traceability for the IoT in general.

scholarly journals Application of Internet of Things in Industry 4.0

2021 ◽  
Vol 5 (2) ◽  
pp. 49-58
Author(s):  
Kremena Marinova-Kostova ◽  
Ivaylo Kostov
Keyword(s):  
Internet Of Things ◽  
Industrial Production ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Digital Transformation ◽  
The Internet ◽  
Industrial Internet Of Things ◽  
Industrial Enterprises ◽  
Industrial Internet ◽  
The Internet Of Things

Introduction. Industry 4.0 is a concept that is considered a new phase in the Industrial Revolution, closely related to the application of information technologies and the digital transformation of manufacturing. The main purpose is to be created a more holistic and more connected ecosystem, focused on supply chain management in industrial companies. Implementation of solutions in Industry 4.0 is mostly related to the concept of the Internet of Things (IoT). Mass deployment of this type of technology in industrial enterprises is the basis of the so-called Industrial Internet of Things (IIoT). Achieving interoperability in the IIoT requires the combination of two technologies: the Internet of Things and the Internet of People. Aim and tasks. This article describes the implementation of the concept of the Internet of Things in industrial enterprises, as a key technology factor for developing Industry 4.0. Results. A brief overview of the evolution of industrial production - from the beginning of the Industrial Revolution to the emergence of Industry 4.0 is made. The main principles for implementing Industry 4.0 solutions ensure that the entire production process is computerized. Industry 4.0 solutions are mostly associated with the concept of the Internet of Things (IoT) whose definition and essence are obtained in this article. Based on the various concepts of the IoT are presented solutions that can be used in the industry, namely: in consumer devices in technology used in public organizations in infrastructure applications in industrial applications, also called the Industrial Internet of Things (IIoT). Therefore, we can say that there is a significant potential for improving production processes as regards: optimization of operations, forecasting equipment support, inventory optimization, improving workers' security, shipping chain optimization, etc. Conclusions. The application of the Internet of Things in enterprises is an important and decisive step in the process of their digital transformation and transition to Industry 4.0. The interaction between humans and machines, carried out through Internet technologies, leads to the emergence of the Internet of Everything, which will be a basic concept in industrial production in the coming years. However, the role of man in the production process should not be completely eliminated, but solutions should be sought that support and intellectualize his work.

scholarly journals IoT and Its Impact on the Electronics Market: A Powerful Decision Support System for Helping Customers in Choosing the Best Product

Symmetry ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 611 ◽  
Author(s):  
Mohamed Abdel-Basset ◽  
Mai Mohamed ◽  
Victor Chang ◽  
Florentin Smarandache
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
The Internet ◽  
Smart System ◽  
Conflicting Information ◽  
Marketing Process ◽  
Different Types ◽  
Iot Devices ◽  
The Internet Of Things

Many companies have observed the significant benefits they can get via using internet. Since then, large companies have been able to develop business transactions with customers at anytime, anywhere, and in relation to anything, so that we now need a more comprehensive concept than the internet. This concept is the Internet of Things (IoT). IoT will influence decision making style in various phases of selling, buying and marketing process. Therefore, every individual and company should know precisely what IoT is, and how and why they should incorporate it in their operations. This motivated us to propose a smart system based on IoT to help companies and marketers make a powerful marketing strategy via utilizing obtained data from IoT devices. Not only this, but the proposed system can also solve the problems which face companies and customers in online shopping. Since there are different types of the same product, and also different criteria for purchasing which can be different between individuals, customers will need a decision support system to recommend them with the best selection. This motivates us to also propose a neutrsophic technique to deal with unclear and conflicting information which exists usually in the purchasing process. Therefore, the smart system and neutrosophic technique is considered as a comprehensive system which links between customers, companies, marketers to achieve satisfaction for each of them.

scholarly journals DIGITAL TECHNOLOGIES IN THE CONDITIONS OF DIGITAL ECONOMY FORMATION

2020 ◽  
Vol 1 (19(47)) ◽  
pp. 20-28
Author(s):  
Andrii Semenog
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Internet Of Things ◽  
Big Data Analytics ◽  
Digital Economy ◽  
The Internet ◽  
Measurement Means ◽  
Digital Information ◽  
Industrial Internet ◽  
The Internet Of Things

The article substantiates that the successful development of the digital economy is closely linked to progress in several “frontier technologies”, among which the most important are such software-oriented technologies as Blockchain, the Internet of Things (IoT), Big Data Analytics, Artificial Intelligence (AI), Cloud Computing, Artificial Intelligence (AI). It is determined that together these technologies provide new opportunities for better analysis, processing and use of digital information, which gives new opportunities for companies to improve their efficiency by offering new, more personalized products and services. In general, the article analyzes the leading technologies used in the formation of the digital economy, identifies their essence, types, and methods of practical application. The properties, potential advantages, and risks of blockchain technology are studied. The article gives examples of companies that use blockchain. They represent such areas as finance, data management, energy, government, transport, health. The main components of the Internet of Things are identified. These include means of identification, means of measurement, means of data transmission, means of data processing, performing devices. The hierarchy of the Internet of Things is also given. It consists of personal wearable devices, smart homes, and smart industry (industrial internet). The phases of the “industrial Internet” development are presented. The essence and constituent characteristics of Big Data are determined. Among them: volume, velocity, variety, value, veracity, variability, visualization. It is determined that the key sources of Big Data are information from the Internet; readings of various devices; corporate information. The competitive advantages of companies that use Big Data are given. Also, the advantages and models of using cloud technologies are described. The essence and components of artificial intelligence are determined. An example of its application in the economic activity of companies is presented.

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