scholarly journals Technology of Internet of Things Responding to Natural Disasters

2021 ◽  
pp. 172000
Author(s):  
Shu-Wen Chen ◽  
Jia-Qi Shao ◽  
Hui-Sheng Zhu
Keyword(s):  
Internet Of Things ◽  
Natural Disasters

Remote Update on Flash-Based Hydrologic Remote Terminal through GPRS Technology

2013 ◽  
Vol 846-847 ◽  
pp. 1711-1715 ◽  
Author(s):  
Wen Jie Ji ◽  
Xiao Qiong Li ◽  
Jing Yang Chen
Keyword(s):  
Internet Of Things ◽  
Natural Disasters ◽  
Real Time ◽  
Complex Terrain ◽  
Warning System ◽  
The Internet ◽  
The Real ◽  
Remote Terminal ◽  
Safety And Reliability ◽  
The Internet Of Things

Mountain torrent is one of major natural disasters for humans. With the development of the Internet of things, the instrumented terminals, through which the host PC could obtain the real-time water and rainfall information and could alert to a coming disaster, have been widely applied to mountain torrent warning system. In order to ensure the effectiveness of network alerting, the program in the terminals need to be updated for some specific situations, but large quantities of terminals are usually built in complex terrain and fragmented geographically, so that it is difficult and expensive to update or repair the programs. In this paper, a method of remote update, realized on the BAM-4300 hydrologic remote terminal to update the complex programs via GPRS modules, was highly reliable. Experiments show that this method is of safety and reliability, and cumbersome processes of onsite update and maintenance could be avoided.

scholarly journals On-Demand Satellite Payload Execution Strategy for Natural Disasters Monitoring Using LoRa: Observation Requirements and Optimum Medium Access Layer Mechanisms

2021 ◽  
Vol 13 (19) ◽  
pp. 4014
Author(s):  
Lara Fernandez ◽  
Joan Adria Ruiz-de-Azua ◽  
Anna Calveras ◽  
Adriano Camps
Keyword(s):  
Internet Of Things ◽  
Natural Disasters ◽  
Mac Protocols ◽  
Economic Losses ◽  
Monitoring Systems ◽  
Medium Access ◽  
Packet Losses ◽  
On Demand ◽  
Execution Strategy

Natural disasters and catastrophes are responsible for numerous casualties and important economic losses. They can be monitored either with in-situ or spaceborne instruments. However, these monitoring systems are not optimal for an early detection and constant monitoring. An optimisation of these systems could benefit from networks of Internet of Things (IoT) sensors on the Earth’s surface, capable of automatically triggering on-demand executions of the spaceborne instruments. However, having a vast amount of sensors communicating at once with one satellite in view also poses a challenge in terms of the medium access layer (MAC), since, due to packet collisions, packet losses can occur. As part of this study, the monitoring requirements for an ideal spatial nodes density and measurement update frequencies of those sensors are provided. In addition, a study is performed to compare different MAC protocols, and to assess the sensors density that can be achieved with each of these protocols, using the LoRa technology, and concluding the feasibility of the monitoring requirements identified.

Early flood detection and rescue using bioinformatic devices, internet of things (IOT) and Android application

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rijwan Khan ◽  
Mohammad Shabaz ◽  
Sarfaraj Hussain ◽  
Faraz Ahmad ◽  
Pranav Mishra
Keyword(s):  
Internet Of Things ◽  
Natural Disasters ◽  
Research Study ◽  
Human Life ◽  
Android Application ◽  
Human Capabilities ◽  
Content Type ◽  
Android App ◽  
Flood Detection ◽  
The Impact

Purpose The impact of natural disasters on human life, the environment and the flora and fauna can be contained to large extent by intelligent human intervention. This study introduces the human capabilities which can be extended considerably with technology. Internet of things have always provided opportunities for predicting and managing manmade/natural disasters. The extreme reason for causing soil erosions, landslides, cloud bursts, floods, etc., are due to excessive rainfall. However, the flood is one of the most happening natural disasters, following Bihar to be the most affected region due to floods. Lots of lives and properties were lost and damaged. Design/methodology/approach This implemented researchers to introduce an advanced solution for such calamities. Expectations were developed that it would signalize authority as early as possible so that advanced measures are taken before the effect. The lack of sensing or alarming technology in India pushed researchers to develop a model using the Android app that basically detected the upcoming flood and other calamities. Findings Most importantly the entire model was programmed with IoT and its techniques so that the response is quicker and more accurate. Originality/value This research study is original.

scholarly journals Sistem Monitoring Tanah Longsor Berbasis Internet of Things dan Geographic Information System

2019 ◽  
Vol 3 (02) ◽  
pp. 70-77
Author(s):  
Roni Wahyu Putra ◽  
Haris Suryamen
Keyword(s):  
Information System ◽  
Soil Moisture ◽  
Geographic Information System ◽  
Internet Of Things ◽  
Natural Disasters ◽  
Success Rate ◽  
Rainy Season ◽  
Sensor Data ◽  
Material Loss ◽  
Loss Of Life

Landslide is one of the natural disasters that happens quite often in many parts of Indonesia. Landslide brings negative aspects to people because it causes material loss and loss of life. Landslides generally occur in the rainy season with high rainfall. In this research, a system is made to predict the chance of landslide to happen by measuring the level of rainfall, soil moisture, and soil displacement, and send the sensor data and position of a landslide to the database. According to this research, the system can predict the chance for the landslide to happen and give a warning with a 100% success rate.

scholarly journals Development of smart farming - a detailed study

2018 ◽  
Vol 7 (2.4) ◽  
pp. 56 ◽  
Author(s):  
C M. Chidambaranathan ◽  
S.S. Handa ◽  
M.V. Ramanamurthy
Keyword(s):  
Internet Of Things ◽  
Natural Disasters ◽  
Industrial Development ◽  
Smart Farming ◽  
Agriculture Development

Agriculture is the backbone of every country. The country’s development is not due to Industrial development alone, but also due to the agriculture development. The Country like India depends upon the 70 percent of the agriculture. In the recent year’s agriculture productions got down due to the natural disasters like flood, famine and etc., hence the country should implement the latest technology to overcome the problems in agriculture. Recently Internet of Things (IoT) is the latest technology used in all the fields. By 2020, IoT would be effectively implemented in every field. In agriculture, Smart Farming which is involves connecting sensors and internet to collect various parameters like temperature, humidity, moisture and etc., and share with the farmers periodically. It is the latest technology which improves the agriculture as well as country economy. In this paper we will discuss the various methods of smart farming.

scholarly journals Decision Making in the Context of Natural Disasters Based on a Geographic Information System and the Internet of Things (IoT)

2021 ◽  
Author(s):  
Aissa Bensattalah ◽  
Rachid Chalal ◽  
Tahar Hassaine Daouadji ◽  
Tayeb Bensattalah
Keyword(s):  
Decision Making ◽  
Information System ◽  
Geographic Information System ◽  
Internet Of Things ◽  
Natural Disasters ◽  
Geographic Information ◽  
Decision Makers ◽  
The Internet ◽  
Structure Interaction ◽  
The Internet Of Things

Decisions within the company, managers in countries or regions are made by one or more groups of decision-makers. The management of natural disasters involves several specialized decision-makers (experts, firefighters, police officers, drivers,). The aim of the chapter is to improve decision making in the context of natural disasters situation. Zero risk in the world does not exist due to natural phenomena that occur randomly and appear suddenly. It is essential to manage the risks in the situation of natural disasters and also to confront the influence of natural disasters on the phenomenon of Soil-Structure Interaction. For this, this chapter presents a conceptual architecture of a knowledge base to manage the risks of natural disasters remotely by a Geographic Information system (GIS) and embedded systems. This architecture is based on the integration of data via different sources of information (GIS, satellites, electronic sensors and comments from experts). To properly manage this information, this chapter uses the ontology of Soil-Structure Interaction With Agents External (OSSIWAE) in the context of the Internet of Things (IoT). A case study is conducted on a prototype of a model for building a structure three-story for testing the usability of the proposed architecture.

When Mother Earth Rises Up

2013 ◽  
Vol 44 (4) ◽  
pp. 271-277 ◽  
Author(s):  
Simona Sacchi ◽  
Paolo Riva ◽  
Marco Brambilla
Keyword(s):  
Free Will ◽  
Natural Disasters ◽  
Natural Disaster ◽  
Mental States ◽  
Disaster Victims ◽  
Willingness To Help ◽  
Mother Earth

Anthropomorphization is the tendency to ascribe humanlike features and mental states, such as free will and consciousness, to nonhuman beings or inanimate agents. Two studies investigated the consequences of the anthropomorphization of nature on people’s willingness to help victims of natural disasters. Study 1 (N = 96) showed that the humanization of nature correlated negatively with willingness to help natural disaster victims. Study 2 (N = 52) tested for causality, showing that the anthropomorphization of nature reduced participants’ intentions to help the victims. Overall, our findings suggest that humanizing nature undermines the tendency to support victims of natural disasters.

RFID Protocol Design, Optimization, and Security for the Internet of Things

2017 ◽  
Author(s):  
Alex X. Liu ◽  
Muhammad Shahzad ◽  
Xiulong Liu ◽  
Keqiu Li
Keyword(s):  
Internet Of Things ◽  
Design Optimization ◽  
Protocol Design ◽  
The Internet ◽  
The Internet Of Things ◽  
Rfid Protocol
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