Design and testing of a network of sensors on land surfaces to prevent landslides

Vera, Jhon Edwin; Martinez, Sergio Mora; Cervantes, Rodrigo

doi:10.1109/argencon.2016.7585271

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…Inclinometer (see Figure 4) and extensometer can be used for advance warning, detecting the small changes in the distance between two points. The most common idea [10][11][12][13] for landslide monitoring during the event is to put a lot of nodes on the area of interest; in this way, the signal can be forwarded to the neighbour nodes before the sending nodes probably die [10][11][12][13].…”

Section: Landslidesmentioning

confidence: 99%

The Internet of Things for Natural Risk Management (Inte.Ri.M.)

Beltramo¹,

Cantore²,

Vesce³

et al. 2019

Perspectives on Risk, Assessment and Management Paradigms

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This chapter deals with the development of a management system, which integrates the use of IoT in natural risk detection, revention, and management with economic evaluation of each stage. In the introductory part, recent data are presented that document the importance that natural disasters have for the environment and for the Italian economy. Section 2 presents the Inte.Ri.M. project-the Internet of Things for Natural Risk Management-its purpose, activity plan, and bodies involved. Technical aspects are treated in Section 3 with the choice of hardware and software components and the solutions for collecting and transmitting data. Section 4 is about the economic aspects considering the stages of prevention, intervention, and restoration and the relation between the intensity of human activity and environment to define a range of situations. These scenarios call for different economic methodologies useful to estimate economic implications of each stage in the short, medium, and long term. Section 5 describes the structure of the Inte.Ri.M. management system and the foreseen functionalities. In the conclusion, the critical points are discussed, and the steps for the transposition of the work carried out on the territory are outlined, according to the provisions of the work program.

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Section: Landslidesmentioning

confidence: 99%

The Internet of Things for Natural Risk Management (Inte.Ri.M.)

Beltramo¹,

Cantore²,

Vesce³

et al. 2019

Perspectives on Risk, Assessment and Management Paradigms

View full text Add to dashboard Cite

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People as Sensors: Towards a Human–Machine Cooperation Approach in Monitoring Landslides in the Three Gorges Reservoir Region, China

Cheng

Cheng³

et al. 2018

Cyber-Physical Systems: Architecture, Security and Application

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Modeling Resource Allocation for Energy Efficiency in Data Centers on the Smart Grid

et al. 2020

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Data centers are constantly growing and evolving in number and complexity due to increasing demand for Internet-based services. As a result, energy consumption in data centers has increased significantly in recent years, which has become a critical concern for IT enterprises and governments because of high operational costs and negative environmental impact. Therefore, green solutions are needed to integrate the use of renewable energy with the development of reduction strategies in energy consumption. In this study, we investigated the performance of a system that can simulate a data center constrained by service-level agreements, energy consumption, power generation, and non-exponentially distributed service times. A discrete event simulation, an optimization model, and a forecasting method were integrated into the system's architecture to analyze performance when facing different scenarios with several changes in the system's characteristics. We conducted a survey on energy trading, considering that renewable energy generators were incorporated into the algorithm to determine the interaction between data centers and smart grids. The experimental results demonstrate that the proposed system has great potential in improving energy efficiency under different operating conditions in the data centers.

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Design and testing of a network of sensors on land surfaces to prevent landslides

Cited by 3 publications

References 2 publications

The Internet of Things for Natural Risk Management (Inte.Ri.M.)

The Internet of Things for Natural Risk Management (Inte.Ri.M.)

People as Sensors: Towards a Human–Machine Cooperation Approach in Monitoring Landslides in the Three Gorges Reservoir Region, China

Modeling Resource Allocation for Energy Efficiency in Data Centers on the Smart Grid

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