2016
DOI: 10.1108/intr-02-2014-0043
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A visualization platform for internet of things in manufacturing applications

Abstract: Purpose – The purpose of this paper is to present a visualization platform to control and monitor wireless sensor networks (WSNs) in manufacturing applications. Design/methodology/approach – To make the platform flexible and versatile, a modular framework is adopted in modeling and visualizing WSNs. The Eclipse programming environment is used to maximize the scalability and adaptability of the platform. A set of the core functional modul… Show more

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Cited by 41 publications
(17 citation statements)
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“…We excluded specialized topics in the field of space science (Metzger 2016), mobile services (Qi et al 2014) and football robots (Bi et al 2017). Among representative works within this cluster, a visualization platform for IoT to control and monitor wireless sensor networks (Bi et al 2016), resource allocation (Pillai and Rao 2016) and resource bundling (Guo et al 2016) are examined. Moreover, strategic issues are discussed (Li et al 2012;Guggenheim 2016).…”
Section: Manufacturingmentioning
confidence: 99%
“…We excluded specialized topics in the field of space science (Metzger 2016), mobile services (Qi et al 2014) and football robots (Bi et al 2017). Among representative works within this cluster, a visualization platform for IoT to control and monitor wireless sensor networks (Bi et al 2016), resource allocation (Pillai and Rao 2016) and resource bundling (Guo et al 2016) are examined. Moreover, strategic issues are discussed (Li et al 2012;Guggenheim 2016).…”
Section: Manufacturingmentioning
confidence: 99%
“…For examples, engage program at the seventh university aimed at increasing the capacity of engineering institutions to retain undergraduate students by facilitating the implementation of three research-based strategies, i.e., (1) improve faculty-student interaction; (2) improve spatial visualization skill; and (3) use everyday examples in engineering teaching, to improve educational experiences [6,32]. FIGURE 1 Evolution of manufacturing system paradigms [12,15,16,36,37] To adapt the rapidly advancement of computer aided technologies; we propose to improve existing disciplineoriented engineering programs at least for some of upperlevel engineering courses. The objective is to develop a new course framework whose constitutive elements are not varied with an increase of computer-aided tools or the diversification of sub-disciplines.…”
Section: Curriculum Of Digital Manufacturingmentioning
confidence: 99%
“…With the IoT, products can be tracked anytime, making it possible to respond to customer behaviour. It is also now possible for products to connect with other products, leading to new analytics and new services for more effective forecasting, process optimisation and customer service experiences [24] [28]. Sensors and embedded technology now enable the transmission of real-time data from wireless networks which will lead to the co-creation of new real-time knowledge among customers and vendors.…”
Section: Areas Of Knowledge Managementmentioning
confidence: 99%