Big data analytics for manufacturing internet of things: opportunities, challenges and enabling technologies

Abstract

The recent advances in information and communication technology (ICT) have promoted the evolution of conventional computer-aided manufacturing industry to smart datadriven manufacturing.

Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions

“…Currently, 23 billion IoT devices are connected worldwide. By the end of 2020, it will further rise and reach up to 30 billion, and by the end of 2025, it will reach over 60 billion [11]. e security challenges for IoT are mention below.…”

Unmanned aerial vehicle for internet of everything: Opportunities and challenges

“…In detail, we describe the three expectations as follows. [13], which are necessary to serve different intelligent applications. With the distributed computing facilities, IoE's intelligence can be categorized into local intelligence, edge intelligence, and cloud intelligence, implying that computing facilities with the corresponding intelligent algorithms are deployed at local side (i.e., at terminal nodes), edge side and remote clouds, respectively.…”

“…It is a necessity to orchestrate various computing resources and schedule different computing tasks at local side, edge side, and cloud side in order to enable a ubiquitous computing capability On top of distributed computing facilities, big data processing schemes and intelligent algorithms can be executed to enable everything intelligence. In particular, big data analytics on IoE data can process massive IoE data and conduct descriptive, diagnostic and predictive analysis [13], [42]. Intelligent algorithms can further extract valuable information on big data so as to make predictive and prescriptive decisions [43], [44].…”

“…The breakthrough of artificial intelligence (AI) technologies integrating with massive IoT data brings the opportunities in realizing intelligent applications including intelligent recognition, intelligent management and intelligent decision [11]. As a result, conventional IoT has been evolved into IoE that supports intelligent connection of things, thereby enabling smart applications, such as smart meter [12], smart grid, smart manufacturing [13], smart agriculture, intelligent traffic scheduling [14]. In this regard, the existing wireless communication networks (including WSN, LPWAN and 5G cellular networks) can help to realize the scalability of IoE.…”

The Formation of Production Relations in the Context of the Digital Economy Establishment in the Russian Federation

“…Даи, Х. Вонга, Ж. Ху, Дж. Вана, M. Имрана [37] представлен обзор аналитики больших данных при производстве интернета вещей (MIoT). Делается вывод, что аналитика больших производственных данных может привести к трудностям в исследованиях из-за разнородных типов данных, огромного объема и скорости производства данных в реальном времени, что не отменяет возможности центральной роли сетевых структур в международном распространении результативных эффектов в различных проявлениях [38].…”