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Journal articles on the topic 'Internet early warning system'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 February 2022

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1

Hesse, Malte, and Norbert Pohlmann. "European internet early warning system." International Journal of Electronic Security and Digital Forensics 2, no. 1 (2009): 1. http://dx.doi.org/10.1504/ijesdf.2009.023871.

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2

Cui, Zhen Ping, and Shu Yan. "The SMS Backhaul of WSN Monitor System in Landslide." Applied Mechanics and Materials 130-134 (October 2011): 4189–93. http://dx.doi.org/10.4028/www.scientific.net/amm.130-134.4189.

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Landslide is one of the most serious natural disasters, forecast and early warnings are important. The SMS backhaul of WSN monitor system is discussed in this paper. After analyzing the transmission system of WSN at present, this paper intend to combine GPRS-Internet, SMS-PP and SMS-CB to pass early warning back to inhabitants, so as to further ensure the reliability and instantaneity. In order to send early warning to every person in landslide zone, several situations are considered. With the real-time monitoring system and extensive early warning backhaul, the damages and losses would be red

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3

Debauche, Olivier, Meryem Elmoulat, Saïd Mahmoudi, et al. "Towards Landslides Early Warning System With Fog - Edge Computing And Artificial Intelligence**." Journal of Ubiquitous Systems and Pervasive Networks 15, no. 02 (2021): 11–17. http://dx.doi.org/10.5383/juspn.15.02.002.

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Landslides are phenomena that cause significant human and economic losses. Researchers have investigated the prediction of high landslides susceptibility with various methodologies based upon statistical and mathematical models, in addition to artificial intelligence tools. These methodologies allow to determine the areas that could present a serious risk of landslides. Monitoring these risky areas is particularly important for developing an Early Warning Systems (EWS). As matter of fact, the variety of landslides’ types make their monitoring a sophisticated task to accomplish. Indeed, each la

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Zeng, Chen Ping. "Mountain Torrent Disaster Monitoring and Early-Warning System Based on Internet of Things." Applied Mechanics and Materials 484-485 (January 2014): 577–80. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.577.

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As a wisdom water conservancy, mountain torrent disaster monitoring and early-warning system is an especially information part of flood prevention and drought resisting information support, and plays a very important role in the flood prevention and drought resisting in the water conservancy industry. The integration of mountain torrent disaster monitoring and early-warning system in water conservancy with the internet of things and the establishment of intelligent things networking system based on automation and control provide decision-making supports for flood prevention and mountain torren

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5

Hafizh Cahaya Putra, Vito, Mokhamad Hendayu, and Purnomo Yustianto. "Early Warning System and Monitoring of River Water Quality Based on Internet of Things." Devotion : Journal of Community Service 3, no. 1 (2021): 42–58. http://dx.doi.org/10.36418/dev.v3i1.89.

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River conditions in Bandung City are currently in critical condition. This study aims to create an early warning system and monitoring of river water quality based on the Internet of Things in the hope that early warnings sent through the telegram application belonging to the Bandung City DLHK officer and the Twitter social media website, can inform the Bandung City DLHK officer that a river is in a polluted condition and the officer can immediately go to the location of river water to carry out mitigation, and give warnings to the community. The research method used using the waterfall method

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6

Lesjak, Martin. "Automatic early warning systems for the environment." Nuclear Technology and Radiation Protection 18, no. 2 (2003): 44–50. http://dx.doi.org/10.2298/ntrp0302044l.

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Computerized, continuous monitoring environmental early warning systems are complex networks that merge measurements with the information technology. Accuracy, consistency, reliability and data quality are their most important features. Several effects may disturb their characteristics: hostile environment, unreliable communications, poor quality of equipment nonqualified users or service personnel. According to our experiences, a number of measures should be taken to enhance system performances and to maintain them at the desired level. In the paper, we are presenting an analysis of system re

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Duffy, Gavan, Ted Robert Gurr, Philip A. Schrodt, Gottfried Mayer-Kress, and Peter Brecke. "An Early Warning System for the United Nations: Internet or Not?" Mershon International Studies Review 39, no. 2 (1995): 315. http://dx.doi.org/10.2307/222772.

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Gunawan, G., B. B. Nasution, M. Zarlis, Marliana Sari, AR Lubis, and Solikhun. "Design of Earthquake Early Warning System Based on Internet of Thing." Journal of Physics: Conference Series 1830, no. 1 (2021): 012010. http://dx.doi.org/10.1088/1742-6596/1830/1/012010.

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9

Hong, Ru Xia. "Research on Application of Internet of Things on Intelligent Traffic Safety early Warning." Applied Mechanics and Materials 263-266 (December 2012): 2890–94. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2890.

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In order to avoid potential traffic dangers, as well as to prevent the occurrence of traffic accidents, this paper manages to build a traffic safety early warning system by using Technology of Internet of Things. First, this paper has a general review of related researches. Then, it analyzes basic structures of intelligent traffic safety early warning systems based on Technology of Internet of Things, and establishes data collection and calculation model for traffic flow, following with analysis of traffic safety early warning and responding technologies. Finally, this paper conducts a simulat

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10

Satria, Dedi, Syaifuddin Yana, Rizal Munadi, and Saumi Syahreza. "FLOOD EARLY WARNING INFORMATION SYSTEM FOR MULTILOCATION BASED ANDROID." International Journal of Engineering Technologies and Management Research 5, no. 8 (2020): 47–53. http://dx.doi.org/10.29121/ijetmr.v5.i8.2018.279.

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Development of flood early warning technology has grown rapidly. The technology has led to improvements in terms of communication and information technology. The use of the Internet of Things model (IOTs) has provided significant development to the development of early warning information systems. In this article is the development of a prototype model of flood monitoring information systems using Android has been designed by combining ultrasonic sensors as a water level detector, rain sensor, temperature sensor and moisture sensor. Arduino Uno Microcontroller Module used as sensor data proces

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Yoeseph, Nanang Maulana, Arif Purwo Nugroho, Andri Adi Nugroho, and Agung Eko Saputro. "Sistem Peringatan Dini Banjir Sungai Bengawan Solo Menggunakan Teknologi Internet Of Things (IoT)." Indonesian Journal of Applied Informatics 2, no. 2 (2018): 99. http://dx.doi.org/10.20961/ijai.v2i2.23836.

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<em>Flood disaster is a natural disaster that causes many losses, both soul and meteriil. Bengawan Solo River is one of the rivers that every year experiencing flood disaster. To improve preparedness for flooding in solo bengawan river, a flood early warning system was created using the Internet of Things (IoT) technology. This system consists of a water level detector, using ultrasonic sensors and arduino uno, and iot servers. Information about the water level of the bengawan solo river can be accessed by users through the website and android. Users will get river water level infromatio

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Šarak, Enes, Miloš Dobrojević, and Simon Sedmak. "IoT based early warning system for torrential floods." FME Transactions 48, no. 3 (2020): 511–15. http://dx.doi.org/10.5937/fme2003511s.

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13

Wang, Jun, Yongfeng Fu, and Xiaokang Yang. "An integrated system for building structural health monitoring and early warning based on an Internet of things approach." International Journal of Distributed Sensor Networks 13, no. 1 (2017): 155014771668910. http://dx.doi.org/10.1177/1550147716689101.

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The intelligent security monitoring of buildings and their surroundings has become increasingly crucial as the number of high-rise buildings increases. Building structural health monitoring and early warning technology are key components of building safety, the implementation of which remains challenging, and the Internet of things approach provides a new technical measure for addressing this challenge. This article presents a novel integrated information system that combines Internet of things, building information management, early warning system, and cloud services. Specifically, the system

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14

Wu, Hao, and Da Wen Peng. "Research of the Forecast and Early Warning System for Bridges." Advanced Materials Research 243-249 (May 2011): 1978–83. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.1978.

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Firstly, the paper elaborates the general idea of the design of bridge forecasting and early-warning system. Based on the Compact RIO data acquisition terminal, the data acquisition system is established with data transforming through Industrial Ethernet and Internet. Finally, a remote safety evaluation center is developed with B/S frame, to process and analyze the collected data with the purpose of evaluating and forecasting the safety condition of the bridge. The application proposed by the paper can bring certain foresights in solving the bridge safety problems.

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Cao, Shukuan, and Yanbiao Huang. "Design of Expressway Safety Early Warning System Based on Internet of Things." IOP Conference Series: Materials Science and Engineering 688 (December 6, 2019): 044005. http://dx.doi.org/10.1088/1757-899x/688/4/044005.

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Zambrano, A. M., I. Perez, C. Palau, and M. Esteve. "Technologies of Internet of Things applied to an Earthquake Early Warning System." Future Generation Computer Systems 75 (October 2017): 206–15. http://dx.doi.org/10.1016/j.future.2016.10.009.

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17

Hertanto, D. B., R. Asnawi, and F. Surwi. "Early Warning System Prototype of Train Arrival Based on Internet of Things." Journal of Physics: Conference Series 1737, no. 1 (2021): 012040. http://dx.doi.org/10.1088/1742-6596/1737/1/012040.

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18

Yuan, Hong, Hong Mei Zhong, and De Jun Lai. "One Environmental Monitoring early-Warning System Research by RIA Technology." Applied Mechanics and Materials 295-298 (February 2013): 888–92. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.888.

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The paper discusses the environmental monitoring methods and the existing problems, and then pointed out four aspects in need of improvement: environmental monitoring network needs to be improve; data analysis need to be further; environmental quality comprehensive analysis capability need to strengthen; monitoring instrument needs to be updated. And using the Internet of things technology, combined with the technology of RIA, WebGIS, in Flex Viewer open source framework, adopted the open design, discusses a suitable environment real time monitoring and early-warning of the combination of hard

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19

Shi, Ming Wang, and Yan Zhou. "WebGIS Intelligent Diagnosis and Forecasting System of Plant Diseases." Key Engineering Materials 480-481 (June 2011): 1603–6. http://dx.doi.org/10.4028/www.scientific.net/kem.480-481.1603.

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With the computer and the rapid development of information technology, The plant disease intelligence diagnosis and the plant disease early warning network is possible. In this paper, relying on the Internet, the realization of intelligent online plant disease diagnosis, early warning, prevention and other information query and forecasting capabilities. The database base on Internet-based wide area network environment and the help of webGIS technology, including diagnostic module, check module and the prediction module. The intelligent prognosis is tested to the extent and happening of plant d

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20

Cao, Shuxu. "Research on Mobile Communication Technology in the Internet+ Era." Probe - Media and Communication Studies 3, no. 1 (2021): 9. http://dx.doi.org/10.18686/mcs.v3i1.1378.

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<p>With the continuous development of science and technology, although artificial intelligence has become the norm, if artificial intelligence science and technology are applied to mobile communications, it will be a huge technological leap. Some companies use artificial intelligence to analyze their faults and early warnings, so that they can effectively communicate between communications. This kind of contact method mainly relies on the analysis of personnel, and finds out the cause of the fault through network positioning, so as to realize the connection between the networks and the e

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21

Gamperl, Moritz, John Singer, and Kurosch Thuro. "Internet of Things Geosensor Network for Cost-Effective Landslide Early Warning Systems." Sensors 21, no. 8 (2021): 2609. http://dx.doi.org/10.3390/s21082609.

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Worldwide, cities with mountainous areas struggle with an increasing landslide risk as a consequence of global warming and population growth, especially in low-income informal settlements. Landslide Early Warning Systems (LEWS) are an effective measure to quickly reduce these risks until long-term risk mitigation measures can be realized. To date however, LEWS have only rarely been implemented in informal settlements due to their high costs and complex operation. Based on modern Internet of Things (IoT) technologies such as micro-electro-mechanical systems (MEMS) sensors and the LoRa (Long Ran

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22

Kong, Xiang Feng. "Monitoring System Design for Ships Network." Advanced Materials Research 846-847 (November 2013): 1542–45. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1542.

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This paper designs a Vessel Remote Video Monitoring System based on internet protocol. The system uses positioning and network transmission technology to transmit real-time images of ships offshore to the server, to set up the client and visual monitoring ends. Ships monitoring personnel enter WEB monitoring platform with different permissions, to monitor and process ships image data through the network view, scheduling, monitoring terminals and other system modules. It also adds density ratio-based automatic alarm module to realize the intelligent early warning of offshore Ships density. Expe

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23

Li, Jian, Chuan Kun Li, Kun Li, and Ying Liu. "Design of Landslide Monitoring and Early Warning System Based on Internet of Things." Applied Mechanics and Materials 511-512 (February 2014): 197–201. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.197.

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This paper designed a kind of efficient IOT transmission platform based on wireless sensor network and GPRS network. Using the multi-mode sensor nodes composed of temperature-humidity senor and acceleration sensor, realize the effective detection of geological disaster, such as landslide and debris flow. After experimental verification, the IOT platform based on the two levels of network structures, can effectively transmit the monitoring point's information, such as the surface humidity, tilt angle and displacement. The system has long transmission distance and low power consumption.The syste

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24

Liu, Sheng Rui. "Design and Implementation of the Highway Traffic Safety Early Warning Information Service System." Applied Mechanics and Materials 727-728 (January 2015): 717–20. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.717.

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This paper is aimed to establish to car networking as the foundation, a new traffic information service system in large data environment, the system is built based on vehicle network, meaning lies in providing the expressway traffic safety early-warning information services, further improve the quality of service of freeway traffic warning information and intelligence level. In this system, also conducted a small scale experimental validation, test showed that the effect of new application of traffic information service system is good. The system helps to ensure transportation safety and effic

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Ma, Guo Jun. "The Internet of Things Based the Framework of Gannan Yak Disease Early Warning System Design." Advanced Materials Research 926-930 (May 2014): 2276–79. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2276.

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In view of the Gannan Tibetan yak breeding situation, proposed the Gannan yak disease early warning system based on Internet of things technology, from the model base management, information management, assessment prediction of disease,disease alarm four aspects of the design of the system framework.

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Huang, Guo Jian, Dong Hui Wang, Xin Hua Wang, and Zhen Yu He. "Study on Crane Structural Health Monitoring and Early Warning Expert System." Advanced Materials Research 774-776 (September 2013): 1586–90. http://dx.doi.org/10.4028/www.scientific.net/amr.774-776.1586.

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Based on current research basis at home and abroad, in order to improve the level of safety technology and safeguard work efficiency, Internet of Things is brought into crane structural health monitoring. Crane structural health risk level evaluation criteria and structural health warning technology expert system are the two key aspects of the project. The mechanical properties of Q235 were studied and theoretical calculations were done by the technologies of ANSYS and ADAMS, finally the threshold was determined. Signals are collected by FBG sensors and transmitted to a demodulator, and then u

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Chengfang, H., X. Xiao, S. Dingtao, C. Bo, and W. Xiongfei. "STUDY OF WATER POLLUTION EARLY WARNING FRAMEWORK BASED ON INTERNET OF THINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 335–38. http://dx.doi.org/10.5194/isprsarchives-xli-b8-335-2016.

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In recent years, with the increasing world environmental pollution happening, sudden water pollution incident has become more and more frequently in China. It has posed a serious threat to water safety of the people living in the water source area. Conventional water pollution monitoring method is manual periodic testing, it maybe miss the best time to find that pollution incident. This paper proposes a water pollution warning framework to change this state. On the basis of the Internet of things, we uses automatic water quality monitoring technology to realize monitoring. We calculate the mon

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Chengfang, H., X. Xiao, S. Dingtao, C. Bo, and W. Xiongfei. "STUDY OF WATER POLLUTION EARLY WARNING FRAMEWORK BASED ON INTERNET OF THINGS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 335–38. http://dx.doi.org/10.5194/isprs-archives-xli-b8-335-2016.

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In recent years, with the increasing world environmental pollution happening, sudden water pollution incident has become more and more frequently in China. It has posed a serious threat to water safety of the people living in the water source area. Conventional water pollution monitoring method is manual periodic testing, it maybe miss the best time to find that pollution incident. This paper proposes a water pollution warning framework to change this state. On the basis of the Internet of things, we uses automatic water quality monitoring technology to realize monitoring. We calculate the mon

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Wisnu Alfiansyah, Muhamad, I. Gede Putu Wirarama Wedashwara W, and Ahmad Zafrullah Mardiansyah. "Implementasi IoT Untuk Early Warning System(EWS) Pada Tambak Udang Vaname." Journal of Computer Science and Informatics Engineering (J-Cosine) 5, no. 1 (2021): 20–19. http://dx.doi.org/10.29303/jcosine.v5i1.351.

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Vaname shrimp is a type of aquaculture that has a high economic value and has relatively fast growth. Good water quality is key in the cultivation of vaname shrimp on ponds. However, monitoring of pond water conditions is still done manually and not done intensively. Internet of Things (IoT) and Early Warning System (EWS) as the latest technology can be a solution in periodic pond monitoring activities and give early warning to farm owners. Double Exponential Smoothing Holt is one method for forecasting in time series. In this study, the system predicts the potential for endangering the pond c

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Mao, Yi, Lei Zhang, and Xin Wu. "Perception Analysis and Early Warning of Home-Based Care Health Information Based on the Internet of Things." Complexity 2021 (February 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/6634575.

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Aiming at the problem of insufficient health monitoring of the elderly in the existing home care system, this paper designs a health information analysis and early warning system based on the Internet of Things (IoT) technology, which can monitor the physiological data of the elderly in real time. It also can be based on the elderly real-time monitoring data, physical examination data, and other types of health data, which can be used to predict diseases, so as to achieve “early detection and early treatment” of diseases. First, analyse and design the architecture and content of the home care

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Haris Rismayana, Aris, Castaka Agus Sugianto, and Ida Bagus Budiyanto. "Prototyping of Flooding Early Warning System using Internet of Things Technology and Social Media." MATEC Web of Conferences 197 (2018): 16003. http://dx.doi.org/10.1051/matecconf/201819716003.

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When the rainy season arrives, flooding is a common phenomenon. Almost every street, housing, village, river, even in the city center, wherever floods can occur. One effort to prevent the flooding is to create a floodgate on reservoirs or dams that are used to control the water distribution. The water level at this dam must be checked frequently to anticipate if the water level is at a dangerous level. The inspection of water levels will be very difficult if it must be conducted by humans who must be available in the field at any time. This research aims to create a prototype system that can r

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Fang, Shifeng, Lida Xu, Yunqiang Zhu, et al. "An integrated information system for snowmelt flood early-warning based on internet of things." Information Systems Frontiers 17, no. 2 (2013): 321–35. http://dx.doi.org/10.1007/s10796-013-9466-1.

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Wang, Liangliang, Lianqin Jia, Jiamin Wang, and Qian Zhou. "The Early-Warning and Inspection System For Intelligent Greenhouse Based on Internet of Things." Journal of Physics: Conference Series 1757, no. 1 (2021): 012151. http://dx.doi.org/10.1088/1742-6596/1757/1/012151.

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Yan, Li, Guo Wei Wang, and Shui Fang Wu. "Facilities Vegetables Monitoring and Control System Design Based on WCF and Internet of Things." Advanced Materials Research 945-949 (June 2014): 2637–40. http://dx.doi.org/10.4028/www.scientific.net/amr.945-949.2637.

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The production of facilities vegetable affected significantly by environmental factors, therefore it require real-time monitoring information of light, air temperature and humidity, soil temperature and humidity, and timely early warning and controlling, to prevent irreparable damage. This study achieved real-time monitoring and timely warning of environmental factors, and optimal control of pumps and roller blinds in the Facility vegetable. We have adopted Internet of Things technology and WCF communication interface, the system through C # language and the SQL Server database to prepare. The

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Hsieh, Shu Ming, Ssu An Lo, Chiun Chieh Hsu, and Da Ren Chen. "Applying Web Mining Techniques for Constructing Webometrics Ranking early Warning System." Advanced Materials Research 532-533 (June 2012): 767–71. http://dx.doi.org/10.4028/www.scientific.net/amr.532-533.767.

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The management of university web sites is becoming more critical than before due to the rapid growth of the population dependent on the world wide web as the most important (if not the only) information source. A university can spread its research outcomes and education achievements through its web site, and consequently gain visibility and influence from the web population. Webometrics Ranking of World Universities (WR) proposed by Centre for Scientific Information and Documentation (CINDOC-CSIC), which ranks the university web sites, has obtained much attention recently. The rankings of WR a

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Sujadi, Harun, Dony Susandi, and Wildan Rohmanudin. "PEMANFAATAN INTERNET OF THINGS DALAM SISTEM PERINGATAN DINI PADA SMART VILLAGE." Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) 3, no. 1 (2020): 29–37. http://dx.doi.org/10.32672/jnkti.v3i1.1989.

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Smart village merupakan sebuah ekosistem yang melibatkan pemerintahan, industri, akademisi ataupun masyarakat untuk mejadikan desa lebih baik. Konsep smart village diharapkan mampu membuat masyarakat desa dapat mengetahui permasalahan disekitar daerahnya. Dalam 10 tahun terakhir ini permasalahan yang timbul dan mengalami peningkatan yaitu pada sektor bencana, selain itu permasalahan yang timbul adalah kriminalitas, bahwa pada tahun 2018 indexs kejahatan diindonesia mencapai peringkat 68 dari 147 negara. Dalam hal ini Indonesia khususnya didaerah pedesaan perlu adanya sebuah sistem yang dapat m

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Bednarczyk, Zbigniew. "Landslide Geohazard Monitoring, Early Warning and Stabilization Control Methods." Studia Geotechnica et Mechanica 36, no. 1 (2014): 3–13. http://dx.doi.org/10.2478/sgem-2014-0001.

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Abstract This paper is a presentation of landslide monitoring, early warning and remediation methods recommended for the Polish Carpathians. Instrumentation included standard and automatic on-line measurements with the real-time transfer of data to an Internet web server. The research was funded through EU Innovative Economy Programme and also by the SOPO Landslide Counteraction Project. The landslides investigated were characterized by relatively low rates of the displacements. These ranged from a few millimetres to several centimetres per year. Colluviums of clayey flysch deposits were of a

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Gunawan, G., A. Rahman, B. Purwo Seputro, and M. Elsera. "Design of Early Warning System Flood and Landslide Mitigation Sensor Based on Internet of Thing." Journal of Physics: Conference Series 1361 (November 2019): 012062. http://dx.doi.org/10.1088/1742-6596/1361/1/012062.

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Wang, Liang, Fei Xue, Bai Sheng Nie, and Chun Liang Wang. "Study on Safety Expert System Based on Internet of Things." Advanced Materials Research 962-965 (June 2014): 2716–20. http://dx.doi.org/10.4028/www.scientific.net/amr.962-965.2716.

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In order to realize instant and accurate safety monitoring and early warning of key segments of coal mines, the development, structure and characteristics of "Internet of Things" (IOT) were discussed, which indicated that EPC Global and Ubiquitous ID (UID) systems are the most prevalent two models and Both contain “acquisition, transmission, processing and feedback of information”. After that, the physical model of safety expert system (SES) was established based on IOT, and the information acquisition segment was also introduced, which functioned as the core in the whole system. SES was thus

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Li, Xiaoyan. "Improved Nearest Neighbor Propagation Algorithm Based on Internet of Things Technology in Financial Management Early Warning." Mobile Information Systems 2021 (July 28, 2021): 1–11. http://dx.doi.org/10.1155/2021/5935157.

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In recent years, the increasing degree of economic globalization has provided a broader platform for the development of enterprises, but it also made enterprises bear more and more pressure of market competition. This paper mainly studies the application of improved nearest neighbor propagation algorithm based on Internet of Things technology in financial management early warning. This paper selects the mixed unbalanced panel data of 40 companies from 2006 to 2008 as the overall research sample. After eliminating the outliers and the samples of companies without data for two consecutive years,

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Sui, Li Ying, Zhi Hong Chen, Wei Li, and Li Xun Wang. "Study on Monitoring and Safety Early Warning Technology of Bridge Health Based on Internet of Things Technology." Applied Mechanics and Materials 556-562 (May 2014): 5994–98. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5994.

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Based on the technology concept and application of IOT, the technology of IOT is applied to the monitoring and safety early warning of bridge health to improve the level and efficiency of the operation and management in safety of bridge. The article discusses the key issues involved in the application, from the selection and optimized layout of sensors, the acquisition and transmission of monitoring data, the architecture and function of the bridge health monitoring system, safety early warning model research of bridge etc. And the article provides scientific basis for decision making in the s

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Xie, Wenxiu, Ruoyao Ding, Jun Yan, and Yingying Qu. "A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management." Wireless Communications and Mobile Computing 2018 (June 6, 2018): 1–14. http://dx.doi.org/10.1155/2018/9163160.

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With increasing demand for preventive management of chronic diseases in real time by using the Internet, interest in developing a convenient device on health management and monitoring has intensified. Unlike other chronic diseases, diabetes particularly type 2 is a lifelong chronic disease and usually requires daily health management by patients themselves. This study is to develop a mobile-based diabetes question-answering (Q&A) and early warning system named Dia-AID, assisting diabetes patients and populations at high risk. The Dia-AID system consists of three modules: a large-scale mult

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Munir, Muhammad Miftahul, Rahmat Awaludin Salam, Eko Widiatmoko, et al. "Web-Based Surface Level Measuring System Employing Ultrasonic Sensors and GSM/GPRS-Based Communication." Applied Mechanics and Materials 771 (July 2015): 92–95. http://dx.doi.org/10.4028/www.scientific.net/amm.771.92.

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Water surface level should get special attention as water can cause disasters such as flood when its surface exceeds a certain level. A real time early warning system to monitor water surface level is necessary for avoiding severe effects of flood to human life. A web-based water level measuring system using an ultrasonic sensor can be an alternative choice for developing the early warning system. It is known that the system has advantages in the installation and maintenance compared to other systems. This paper discusses the design of a water level measuring system integrated with an internet

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Shaikh, Farhan. "Earthquake Detection System using Wireless Sensor Network." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1477–80. http://dx.doi.org/10.22214/ijraset.2021.36588.

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Internet Technology bring methods to help detection of earthquake management to collect the data or monitor the condition in real time to analyse the collected data. The Internet of things (IOT) is the network of computed physical objects which enables these things to connect, collect and exchange data. The signal from each sensor which senses the waves and transmitter transfers the alert signal to the cloud. The cloud which will generates alert message transfers the warning to smart phones. Thus, early alert message is received by the people in terms of location, time and other parameters. Th

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Shang, Wei, Hsinchun Chen, and Christine Livoti. "Adverse drug reaction early warning using user search data." Online Information Review 41, no. 4 (2017): 524–36. http://dx.doi.org/10.1108/oir-10-2015-0341.

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Purpose The purpose of this paper is to propose a framework to detect adverse drug reactions (ADRs) using internet user search data, so that ADR events can be identified early. Empirical investigation of Avandia, a type II diabetes treatment, is conducted to illustrate how to implement the proposed framework. Design/methodology/approach Typical ADR identification measures and time series processing techniques are used in the proposed framework. Google Trends Data are employed to represent user searches. The baseline model is a disproportionality analysis using official drug reaction reporting

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Xie, Lu Sheng, Xiao Yu Chen, and Yu Zi Lin. "Bus Safety Regulatory System Design Based on Internet of Vehicles Technology." Applied Mechanics and Materials 694 (November 2014): 114–17. http://dx.doi.org/10.4028/www.scientific.net/amm.694.114.

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To provide a reliable system for bus safety regulation, an intelligent bus safety regulatory system based on Internet of Vehicles technology was presented in this paper. By intelligent vehicle terminal and data acquisition sensor platform on the bus, all kinds of sensor data in the bus can be gathered and transferred in high-speed mobile environment. They include interior surveillance video images, bus speed, the number of people getting on or off, and the location of the bus, etc. The number of people aboard bus, getting on or off, vehicle location, the speed of buses and other conditions of

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Nguyen, Hong T., Trung Q. Duong, Liem D. Nguyen, et al. "Development of a Spatial Decision Support System for Real-Time Flood Early Warning in the Vu Gia-Thu Bon River Basin, Quang Nam Province, Vietnam." Sensors 20, no. 6 (2020): 1667. http://dx.doi.org/10.3390/s20061667.

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Vu Gia-Thu Bon (VGTB) river basin is an area where flash flood and heavy flood events occur frequently, negatively impacting the local community and socio-economic development of Quang Nam Province. In recent years, structural and non–structural solutions have been implemented to mitigate damages due to floods. However, under the impact of climate change, natural disasters continue to happen unpredictably day by day. It is, therefore, necessary to develop a spatial decision support system for real-time flood warnings in the VGTB river basin, which will support in ensuring the area’s socio-econ

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Mai, Yi Ting, Jeng Yueng Chen, Yi Kuan Liu, Wen Yi Lee, Guan Ting Wu, and Ming Yuan Li. "Intelligent Vehicular Warning System for VANET." Applied Mechanics and Materials 145 (December 2011): 164–68. http://dx.doi.org/10.4028/www.scientific.net/amm.145.164.

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The vehicular ad hoc network (VANET) has made significant progress in recent years, attracting a lot of interest from academia and the industry. VANET involves vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications based on a wireless network. V2I refers to the communication between vehicles and infrastructure of roadside unit (RSU), e.g., a base station and access point (AP) connected to the Internet. V2V refers to the direct or multi-hop communications among vehicles in VANET. V2V is efficient and cost effective owing to its short range bandwidth advantage and its ad hoc

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Park, Sungyong, Hyuntaek Lim, Bibek Tamang, et al. "A Study on the Slope Failure Monitoring of a Model Slope by the Application of a Displacement Sensor." Journal of Sensors 2019 (December 21, 2019): 1–9. http://dx.doi.org/10.1155/2019/7570517.

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Many causalities and economic losses are caused by natural disasters, such as landslides and slope failures, every year. This suggests that there is a need for an early warning system to mitigate casualties and economic losses. Most of the studies on early warning systems have been carried out by predicting landslide-prone areas, but studies related to the prediction of landslide occurrence time points by the real-time monitoring of slope displacement are still insufficient. In this study, a displacement sensor and an Internet of Things (IoT) monitoring system were combined together, to monito

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Liu, Jingjing, Guangyuan Shi, Jing Zhou, and Qiumei Yao. "Prediction of College Students’ Psychological Crisis Based on Data Mining." Mobile Information Systems 2021 (May 17, 2021): 1–7. http://dx.doi.org/10.1155/2021/9979770.

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The development of a college students’ psychological management system has become an essential indicator to monitor and prevent the psychological crisis. University student management databases accumulate massive data, but the conventional data processing tasks are restricted to simple statistical analysis, storage, and query management. This paper discusses the application of big data technology for the current psychological management system by investigating psychological crisis screening indicators. Data mining techniques are used to realize the dynamic management of psychological early war

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