Abstract:Abstract-The wireless communications in a tree canopy is essential for pre-harvesting control of fruit productions.To efficiently communicate between a sensor node and a sink node, channel characteristics in a tree canopy must be well-established. In this paper, propagation channel characteristics at the frequencies of 2.45 and 5.2 GHz have been estimated for designing a wireless communication system in a tree canopy. The proposed solution is based on measured path loss, time-varying signal strength and Angle … Show more
“…The business impact analysis (BIA) (Feital et al 2013) determined how far to go in protecting the functions of the people, information, and equipment in an organization in order to sustain their reliability (Kareem 2015). The quantitative risk model (QRM) (Nohria and Eccles 1992) was used to analyze expected interaction losses over a pre-determined period (Sooksumrarn and Krairiksh 2013). The generalized cost consequence (GCC) (Nohria and Ghoshal 1997;Payne et al 1996) model estimates the total cost of interaction outages as a function of time after an event.…”
Manufacturing organizations have become more complex in recent time as a result of technological advances. Communication among production workers operating in an environment marked by increased organizational complexity may require planning for the economically appropriate selection of network channels/media with enhanced productivity. This paper examines traditional and modern communication channels (media) and their comparative advantages over one another in their adoption in manufacturing organizations. In this framework, six media (human messengers, mobile-phones, intranet, fixed-internet, mobile-internet, and private branch exchange [PBX] phone systems) were subjected to analyses using five identified network patterns (all-channel, chain, Y, wheel, and circle) of interactions in manufacturing organizations. Costs, benefits, and the utility of the channels were integrated into the model and utilized to determine the most sustainable media that could enhance productivity in industry. The developed model was implemented using expert data/information collected from the plastic production industry. The results of an availability assessment showed that the enhancement of productivity could be fully achieved by utilizing mobile phones and internet networks, but when considering overall utility, only mobile phones could bring about the desired productivity with 0.59 probability. The findings suggest that the system developed is robust in revealing how productivity might be affected by means of communication among industrial workers.
“…The business impact analysis (BIA) (Feital et al 2013) determined how far to go in protecting the functions of the people, information, and equipment in an organization in order to sustain their reliability (Kareem 2015). The quantitative risk model (QRM) (Nohria and Eccles 1992) was used to analyze expected interaction losses over a pre-determined period (Sooksumrarn and Krairiksh 2013). The generalized cost consequence (GCC) (Nohria and Ghoshal 1997;Payne et al 1996) model estimates the total cost of interaction outages as a function of time after an event.…”
Manufacturing organizations have become more complex in recent time as a result of technological advances. Communication among production workers operating in an environment marked by increased organizational complexity may require planning for the economically appropriate selection of network channels/media with enhanced productivity. This paper examines traditional and modern communication channels (media) and their comparative advantages over one another in their adoption in manufacturing organizations. In this framework, six media (human messengers, mobile-phones, intranet, fixed-internet, mobile-internet, and private branch exchange [PBX] phone systems) were subjected to analyses using five identified network patterns (all-channel, chain, Y, wheel, and circle) of interactions in manufacturing organizations. Costs, benefits, and the utility of the channels were integrated into the model and utilized to determine the most sustainable media that could enhance productivity in industry. The developed model was implemented using expert data/information collected from the plastic production industry. The results of an availability assessment showed that the enhancement of productivity could be fully achieved by utilizing mobile phones and internet networks, but when considering overall utility, only mobile phones could bring about the desired productivity with 0.59 probability. The findings suggest that the system developed is robust in revealing how productivity might be affected by means of communication among industrial workers.
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