The advanced technology Internet of Things (IoT) visualizes a worldwide, that is, internally connected, networks of smart physical entities. IoT is a promising technology used in several applications including disaster management. In disaster management, the role of IoT is so important and ubiquitous and could be life-saving. This article describes the role of IoT in disaster management. More precisely, it presents IoT-based disaster management for different kind of disasters with a comparison between some solutions that are available in the market. It shows an implementation of some examples of the application of IoT such as early-warning system for fire detection and earthquake and represents some approaches talking about the application, IoT architecture, and focusing of the study on different disasters. This study could be a good guide to stakeholder about the use of IoT technology to secure their smart cities’ infrastructure and to manage disaster and reduce risks.
Isolated pulmonary valve endocarditis (PVE) is a rare condition. Known risk factors in previous case reports were intravenous drug abuse and congenital heart disease. Epidemiology of PVE has been changing. It is now being reported specially following invasive healthcare-related procedures even in patients with structurally normal heart. Vast majority of patients present with respiratory symptoms and diagnosis of endocarditis may be challenging unless there is high index of suspicion. Various microorganisms had been isolated as aetiological agents; however, is being increasingly isolated. PVE mostly managed conservatively with intravenous antibiotics with option for surgical intervention in specific situations. We present a patient with isolated PVE due to following colonoscopy and polypectomy with predisposing risk factor of alcohol excess, mimicking clinically as pneumonia and radiologically as a neoplastic lesion.
Coverage is a typical problem in wireless sensor networks to fulfil the issued sensing tasks. In general, sensing coverage represents how well an area is monitored by sensors. The quality of a sensor network can be reflected by the levels of coverage and connectivity that it offers. The coverage problem has been studied extensively, especially when combined with connectivity and energy efficiency. Constructing a connected fully covered, and energy efficient sensor network is valuable for real world applications due to the limited resources of sensor nodes. In this paper, we survey recent contributions addressing energyefficient coverage problems in the context of static WASNs, networks in which sensor nodes do not move once they are deployed and present in some detail of the algorithms, assumptions, and results. A comprehensive comparison among these approaches is given from the perspective of design objectives, assumptions, algorithm attributes and related results.
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