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In the paper, we propose the concept of the two-stage predictive power adaptation method for embedded devices that uses the weather forecast services and is designed to handle unavailability of network connection.
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Contrary to most of the existing work on vertical handover, in our model, we represent the system using a non birth death Markov chain where a state corresponds to the available networks, including a state to represent the unavailability of any network.
These results reinforce the notion that managing the risk of network unavailability requires a combination of redundant topology, increased flow carrying capacity, and other non-conventional consequence reduction strategies, such as layout homogenization and the deliberate inclusion of weak links for network islanding.
Any bug or problem in the application may be the result of network problems, configurations, unavailability of services, backend data, etc.
This undesirable situation is common in sensor networks where, with the passage of time, a properly deployed and fully connected network experiences network partitioning that result in unavailability of sensed data.
This study therefore developed a fault tree model to assess the data link and data network failure-induced unavailability of a system function used to generate an automated control signal for accident mitigation equipment.
If the stations have been synchronized, the CtS control frame aims to: (i) inform other stations (in the same network) of the unavailability of the receiver to receive information from other stations during a specified duration and (ii) suggest to the transmitter a transmission rate that should be used to transmit the physical data packet.
Also, it is evident that direct transmission has lower capacity (<65% of that of network coding) due to the poorer links and the unavailability of diversity compared with network coding framework.
Although flood forecasting and warning system is a very important non-structural measure in flood-prone river basins, poor raingauge network as well as unavailability of rainfall data in real-time could hinder its accuracy at different lead times.
Further potential benefit from system usage was compromised in this study due to many reasons: unavailability of computers, poor Internet access, and slow network connections frequently prevented subjects from accessing the DDSS.
However, due to the public unavailability of critical pieces of Facebook information, like profiles, network information, an unlimited number of posts and more, the existing techniques do not work efficiently for detecting many spammers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com