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1

Maduako, Ikechukwu. "PostGIS-Based Heterogeneous Sensor Database Framework for the Sensor Observation Service." Geoinformatics FCE CTU 8 (October 14, 2012): 55–72. http://dx.doi.org/10.14311/gi.8.4.

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Environmental monitoring and management systems in most cases deal with models and spatial analytics that involve the integration of in-situ and remote sensor observations. In-situ sensor observations and those gathered by remote sensors are usually provided by different databases and services in real-time dynamic services such as the Geo-Web Services. Thus, data have to be pulled from different databases and transferred over the network before they are fused and processed on the service middleware. This process is very massive and unnecessary communication and work load on the service. Massiv
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Lee, Hyuk, Yeon Lee, Weon-Il Chung, and Hae-Young Bae. "Spatial-Sensor Observation Service for Spatial Operation of GeoSensor." Journal of the Korea Society of Computer and Information 16, no. 11 (2011): 35–44. http://dx.doi.org/10.9708/jksci.2011.16.11.035.

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Pradilla, Juan, Carlos Palau, and Manuel Esteve. "SOSLite: Lightweight Sensor Observation Service (SOS)." IEEE Latin America Transactions 13, no. 12 (2015): 3758–64. http://dx.doi.org/10.1109/tla.2015.7404905.

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Wang, Jianmin, and Xiaoqin Yang. "An Automatic Online Disaster Monitoring Network: Network Architecture and a Case Study Monitoring Slope Stability." International Journal of Online Engineering (iJOE) 14, no. 03 (2018): 4. http://dx.doi.org/10.3991/ijoe.v14i03.7669.

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Geosensor networks(GSN) is an important development direction of the disaster monitoring in the future. An online automatic unattended disaster monitoring system can prevent and reduce the geology disaster to protect the safety of life and property. At present, most GSN are independent and usually service for respective community. The observations data of GSN are bigger and complex , and GSN is mostly heterogeneous wireless sensor networks. So this paper proposes a novel GSN disaster monitoring overall architecture, This architecture can seamlessly integrate sensors for long- term, remote, and
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Havlik, Denis, Thomas Bleier, and Gerald Schimak. "Sharing Sensor Data with SensorSA and Cascading Sensor Observation Service." Sensors 9, no. 7 (2009): 5493–502. http://dx.doi.org/10.3390/s90705493.

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Chen, Nengcheng, Liping Di, Genong Yu, and Min Min. "A flexible geospatial sensor observation service for diverse sensor data based on Web service." ISPRS Journal of Photogrammetry and Remote Sensing 64, no. 2 (2009): 234–42. http://dx.doi.org/10.1016/j.isprsjprs.2008.12.001.

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Chung, Chiu Chiao, and Wei Shiang Weng. "Remote Access the ZigBee Sensor Network through the IP Network." Advanced Materials Research 684 (April 2013): 539–42. http://dx.doi.org/10.4028/www.scientific.net/amr.684.539.

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With the wireless communication technology and world-wide Internet, living styles have become more and more convenient and smart, especially, for the application of context-aware systems based in wireless sensor networks. Furthermore, mobile devices provide users timely information browsing and mobile data access. In this study, the ZigBee wireless sensor network combined with sensor data observed Services (Sensor data Observation Service), and PostgreSQL database systems is developed to implement a remote access ZigBee wireless sensor network through an IP Internet browser. This system includ
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Arias Muñoz, C., A. Oggioni, and M. A. Brovelli. "Geospatial web services for limnological data: a case study of sensor observation service for ecological observations." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4 (April 23, 2014): 9–14. http://dx.doi.org/10.5194/isprsannals-ii-4-9-2014.

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The present work aims at designing and implementing a spatial data infrastructure for storing and sharing ecological data through geospatial web services. As case study, we concentrated on limnological data coming from the drainage basin of Lake Maggiore in the Northern of Italy. In order to establish the infrastructure, we started with two basic questions: (1) What type of data is the ecological dataset? (2) Which are the geospatial web services standards most suitable to store and share ecological data? In this paper we describe the possibilities for sharing ecological data using geospatial
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Liu, Ya, Jian Hua Mao, and Xue Feng Liu. "Smart Community Security System Based on Sensor Web." Applied Mechanics and Materials 571-572 (June 2014): 1037–41. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.1037.

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The traditional smart security systems have poor extensity, delayed alarm systems, and cannot be controlled through the remote network. To solve the shortcomings, this article proposed a smart security system based on Sensor Web. The system used Sensor Observation Service to achieve the data transmission and storage in real time. Users can send requests to Sensor Observation Service to get home environment information in real time via Internet. The system also implemented Sensor Event Service, so that users can get home security alarm information in real time by subscribing the events they are
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10

Chung, Huang, Guan, and Jian. "Applying OGC Sensor Web Enablement Standards to Develop a TDR Multi-Functional Measurement Model." Sensors 19, no. 19 (2019): 4070. http://dx.doi.org/10.3390/s19194070.

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Time-domain reflectometry (TDR) is considered as a passive monitoring technique which reveals multi-functions, such as water level, bridge scour, landslide, and suspended sediment concentration (SSC), based on a single TDR device via multiplexing and related algorithms. The current platform for revealing TDR analysis and interpreted observations, however, is complex to access, thus a coherent data model and format for TDR heterogeneous data exchange is useful and necessary. To enhance the interoperability of TDR information, this research aims at standardizing the TDR data based on the Open Ge
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Bhattacharya, D., and M. Painho. "DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI)." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4 (June 3, 2016): 33–39. http://dx.doi.org/10.5194/isprsannals-iii-4-33-2016.

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Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. It is about research to harness the sensed environment by utilizing domain specific sensor data to create a generalized sensor webframework. The challenges being semantic enablement for Spatial Data Infrastructures, and connecting the interfaces of SDI with interfaces of Sensor Web. The proposed research plan is to Identify sensor data sources, Setup an open source SDI, Match the APIs
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Bhattacharya, D., and M. Painho. "DESIGN FOR CONNECTING SPATIAL DATA INFRASTRUCTURES WITH SENSOR WEB (SENSDI)." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4 (June 3, 2016): 33–39. http://dx.doi.org/10.5194/isprs-annals-iii-4-33-2016.

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Integrating Sensor Web With Spatial Data Infrastructures (SENSDI) aims to extend SDIs with sensor web enablement, converging geospatial and built infrastructure, and implement test cases with sensor data and SDI. It is about research to harness the sensed environment by utilizing domain specific sensor data to create a generalized sensor webframework. The challenges being semantic enablement for Spatial Data Infrastructures, and connecting the interfaces of SDI with interfaces of Sensor Web. The proposed research plan is to Identify sensor data sources, Setup an open source SDI, Match the APIs
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13

Neng-cheng~, CHEN. "Sensor Observation Service Registry and Search Based on Catalogue Service for Web." National Remote Sensing Bulletin, no. 3 (2008): 411–19. http://dx.doi.org/10.11834/jrs.20080356.

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14

Pradilla, Juan, Manuel Esteve, and Carlos Palau. "SOSFul: Sensor Observation Service (SOS) for Internet of Things (IoT)." IEEE Latin America Transactions 16, no. 4 (2018): 1276–83. http://dx.doi.org/10.1109/tla.2018.8362168.

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15

Lee, Yong Jin, Jarrod Trevathan, Ian Atkinson, and Wayne Read. "The Integration, Analysis and Visualization of Sensor Data from Dispersed Wireless Sensor Network Systems Using the SWE Framework." Journal of Telecommunications and Information Technology, no. 4 (December 30, 2015): 86–97. http://dx.doi.org/10.26636/jtit.2015.4.990.

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Wireless Sensor Networks (WSNs) have been used in numerous applications to remotely gather real-time data on important environmental parameters. There are several projects where WSNs are deployed in different locations and operate independently. Each deployment has its own models, encodings, and services for sensor data, and are integrated with different types of visualization/analysis tools based on individual project requirements. This makes it difficult to reuse these services for other WSN applications. A user/system is impeded by having to learn the models, encodings, and services of each
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Ryan, Wendy A., Nolan J. Doesken, and Steven R. Fassnacht. "Evaluation of Ultrasonic Snow Depth Sensors for U.S. Snow Measurements." Journal of Atmospheric and Oceanic Technology 25, no. 5 (2008): 667–84. http://dx.doi.org/10.1175/2007jtecha947.1.

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Abstract Ultrasonic snow depth sensors are examined as a low cost, automated method to perform traditional snow measurements. In collaboration with the National Weather Service, nine sites across the United States were equipped with two manufacturers of ultrasonic depth sensors: the Campbell Scientific SR-50 and the Judd Communications sensor. Following standard observing protocol, manual measurements of 6-h snowfall and total snow depth on ground were also gathered. Results show that the sensors report the depth of snow directly beneath on average within ±1 cm of manual observations. However,
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17

Strigaro, Daniele, Massimiliano Cannata, and Milan Antonovic. "Boosting a Weather Monitoring System in Low Income Economies Using Open and Non-Conventional Systems: Data Quality Analysis." Sensors 19, no. 5 (2019): 1185. http://dx.doi.org/10.3390/s19051185.

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In low-income and developing countries, inadequate weather monitoring systems adversely affect the capacity of managing natural resources and related risks. Low-cost and IoT devices combined with a large diffusion of mobile connection and open technologies offer a possible solution to this problem. This research quantitatively evaluates the data quality of a non-conventional, low-cost and fully open system. The proposed novel solution was tested for a duration of 8 months, and the collected observations were compared with a nearby authoritative weather station. The experimental weather station
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18

Ribeiro, Alexandra, Vitor Sousa, and Alberto Cardoso. "GIS Web-based Platform for Experimentation Using Environmental Geosensors." International Journal of Online Engineering (iJOE) 12, no. 04 (2016): 68. http://dx.doi.org/10.3991/ijoe.v12i04.5261.

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This work describes a GIS web-based open source platform for wireless in situ geosensor data visualization and distributed geoprocessing. Emphasis is put on: i) visualization of sensor measurements and sensor location on a map; ii) geoprocessing of these data; iii) and, visualization of geoprocessing results on a map. The platform combines the Open Geospatial Consortium (OGC) Sensor Web Enablement (SWE) standards, in particular the Sensor Observation Service (SOS), and the OGC Web Processing Service (WPS). Several results are presented using different methods of spatial interpolation of air te
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Chaturvedi, Kanishk, and Thomas Kolbe. "Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities." Sensors 19, no. 3 (2019): 562. http://dx.doi.org/10.3390/s19030562.

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Typically, smart city projects involve complex distributed systems having multiple stakeholders and diverse applications. These applications involve a multitude of sensor and IoT platforms for managing different types of timeseries observations. In many scenarios, timeseries data is the result of specific simulations and is stored in databases and even simple files. To make well-informed decisions, it is essential to have a proper data integration strategy, which must allow working with heterogeneous data sources and platforms in interoperable ways. In this paper, we present a new lightweight
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20

Chinnachodteeranun, Rassarin, and Kiyoshi Honda. "Sensor Observation Service API for Providing Gridded Climate Data to Agricultural Applications." Future Internet 8, no. 3 (2016): 40. http://dx.doi.org/10.3390/fi8030040.

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21

NINSAWAT, Sarawut, Venkatesh RAGHAVAN, and Shinji MASUMOTO. "INTEGRATION OF WEB PROCESSING SERVICE AND SENSOR OBSERVATION SERVICE FOR DISTRIBUTED GEOPROCESSING USING REAL-TIME DATA." GEOINFORMATICS 19, no. 3 (2008): 171–79. http://dx.doi.org/10.6010/geoinformatics.19.171.

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22

Irmansyah, Muhammad, Efrizon Efrizon, Era Madona, and Anggara N. "Monitoring on Portable Baby Incubator Based on Microcontroller and Notification Using Short Message Service (SMS)." Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics 3, no. 4 (2021): 140–47. http://dx.doi.org/10.35882/ijeeemi.v3i4.3.

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Portable incubator was one solution to help the premature baby. In general, the baby in the incubator is monitored by the observer manually. This research aimed to apply a microcontroller, temperature sensor, weight sensor, heart rate sensor, and GSM module to monitor and notify the premature babies' condition in portable incubators. The observation can be done by reading the display on LCD and SMS. The hardware used consists of a DS18B20 sensor, Load Cell, Pulse Heart Rate Sensor, Buzzer, LCD, and SIM800L Module. The results showed that the Pulse sensor and DS18B20 sensor could measure and de
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23

Yu, Yang, Huiping Xu, and Changwei Xu. "A Sensor Control Model for Cabled Seafloor Observatories in the East China Sea." Sensors 18, no. 9 (2018): 3027. http://dx.doi.org/10.3390/s18093027.

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Seafloor observatories enable real-time, continuous and long-term observations that promise major breakthroughs in ocean sciences. The effort to dynamically control in situ sensor systems performing individual and cooperative observation tasks is both a challenge and a guarantee for the stable operations of functional observatories. However, current sensor control systems for seafloor observatories are application-oriented and focus on specific engineering requirements rather than general model research. In this paper, a sensor control model was proposed to provide a theoretical specification
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Witayangkurn, A., M. Nagai, K. Honda, M. Dailey, and R. Shibasaki. "REAL-TIME MONITORING SYSTEM USING UNMANNED AERIAL VEHICLE INTEGRATED WITH SENSOR OBSERVATION SERVICE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII-1/C22 (September 6, 2012): 107–12. http://dx.doi.org/10.5194/isprsarchives-xxxviii-1-c22-107-2011.

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25

Tamayo, Alain, Joaquín Huerta, Carlos Granell, Laura Díaz, and Ricardo Quirós. "gvSOS: A New Client for the OGC® Sensor Observation Service Interface Standard." Transactions in GIS 13 (June 2009): 47–61. http://dx.doi.org/10.1111/j.1467-9671.2009.01160.x.

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Devaraju, Anusuriya, Simon Jirka, Ralf Kunkel, and Juergen Sorg. "Q-SOS—A Sensor Observation Service for Accessing Quality Descriptions of Environmental Data." ISPRS International Journal of Geo-Information 4, no. 3 (2015): 1346–65. http://dx.doi.org/10.3390/ijgi4031346.

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Nikulchev, Evgeny, Alexander Gusev, Nurziya Gazanova, et al. "Engagement Assessment for the Educational Web-Service Based on Largest Lyapunov Exponent Calculation for User Reaction Time Series." Education Sciences 13, no. 2 (2023): 141. http://dx.doi.org/10.3390/educsci13020141.

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Contemporary digital platforms provide a large number of web services for learning and professional growth. In most cases, educational web services only control access when connecting to resources and platforms. However, for educational and similar resources (internet surveys, online research), which are characterized by interactive interaction with the platform, it is important to assess user engagement in the learning process. A fairly large body of research is devoted to assessing learner engagement based on automatic, semi-automatic, and manual methods. Those methods include self-observati
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Huang, Chih-Yuan, and Steve Liang. "A sensor data mediator bridging the OGC Sensor Observation Service (SOS) and the OASIS Open Data Protocol (OData)." Annals of GIS 20, no. 4 (2014): 279–93. http://dx.doi.org/10.1080/19475683.2014.942795.

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Fuchs, E. M., E. Stein, G. Strunz, C. Strobl, and C. Frey. "Fire Monitoring - The use of medium resolution satellites (AVHRR, MODIS, TET) for long time series processing and the implementation in User Driven Applications and Services." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 797–804. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-797-2015.

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This paper introduces fire monitoring works of two different projects, namely TIMELINE (TIMe Series Processing of Medium Resolution Earth Observation Data assessing Long –Term Dynamics In our Natural Environment) and PHAROS (Project on a Multi-Hazard Open Platform for Satellite Based Downstream Services). It describes the evolution from algorithm development from in applied research to the implementation in user driven applications and systems. Concerning TIMELINE, the focus of the work lies on hot spot detection. A detailed description of the choice of a suitable algorithm (round robin approa
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Jirka, Simon, Arne Bröring, Peter Kjeld, Jon Maidens, and Andreas Wytzisk. "A Lightweight Approach for the Sensor Observation Service to Share Environmental Data across Europe." Transactions in GIS 16, no. 3 (2012): 293–312. http://dx.doi.org/10.1111/j.1467-9671.2012.01324.x.

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Cannata, Antonovic, Strigaro, and Cardoso. "Performance Testing of istSOS Under High Load Scenarios." ISPRS International Journal of Geo-Information 8, no. 11 (2019): 467. http://dx.doi.org/10.3390/ijgi8110467.

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In the last 20 years, a mainstream in Earth information and decision making has been drawn by the vision of the digital earth that calls for 3D representation, interoperability and modelling. In this context, the time dimension is essential but despite its importance, not many open standards and implementations are available. The Sensor Observation Service from the Open Geospatial Consortium is one of them and was specifically designed to collect, store and share timeseries of observations from sensors. To better understand the performance and limitation of one software implementation of this
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Yu, Yang, Huiping Xu, and Changwei Xu. "A Sensor Web Prototype for Cabled Seafloor Observatories in the East China Sea." Journal of Marine Science and Engineering 7, no. 11 (2019): 414. http://dx.doi.org/10.3390/jmse7110414.

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Seafloor observatories enable continuous power supply and real-time bidirectional data transmission, which marks a new way for marine environment monitoring. As in situ observation produces massive data in a constant way, the research involved with data acquisition, data transmission, data analysis, and user-oriented data application is vital to the close-loop operations of seafloor observatories. In this paper, we design and implement a sensor web prototype (ESOSW) to resolve seafloor observatory information processing in a plug-and-play way. A sensor web architecture is first introduced, whi
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Pu, Fangling, Zhili Wang, Chong Du, Wenchao Zhang, and Nengcheng Chen. "Semantic integration of wireless sensor networks into open geospatial consortium sensor observation service to access and share environmental monitoring systems." IET Software 10, no. 2 (2016): 45–53. http://dx.doi.org/10.1049/iet-sen.2014.0141.

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Achmad, Muhamad Iradat, and Muhamad Iqbal Achmad. "Desain Sistem Peringatan Dini Bencana Kebakaran Hutan Berbasis Jaringan Sensor dan Short Message Service (SMS)." Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton 9, no. 1 (2023): 21–31. http://dx.doi.org/10.35326/pencerah.v9i1.2827.

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Forest fires in a number of areas in Indonesia have become more frequent in recent years. This incident raises many problems in various areas of life. The Indonesian government has and continues to make preventive and curative efforts to minimize the occurrence of forest fires and the losses that occur. In line with the government's efforts, this paper proposes the design of a forest fire early warning system based on a sensor network and Short Message Service (SMS). This system consists of a subsystem on the forest side and a subsystem on the observation office side. The subsystem in the fore
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Hilbring, Désirée, Anastasia Moumtzidou, Jürgen Moßgraber, and Stefanos Vrochidis. "Semantically Enriching an Open Source Sensor Observation Service Implementation for Accessing Heterogeneous Environmental Data Sources." Transactions in GIS 18, no. 4 (2013): 480–95. http://dx.doi.org/10.1111/tgis.12055.

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Tao, Liang, Dongjian Zheng, Xin Wu, et al. "Stress Estimation of Concrete Dams in Service Based on Deformation Data Using SIE–APSO–CNN–LSTM." Water 15, no. 1 (2022): 59. http://dx.doi.org/10.3390/w15010059.

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The stress behavior of key parts of concrete dams is related to the safe operation of the dam. However, the stress sensors in concrete are susceptible to aging and failure with increasing service life. Estimating the structural stress under sensor failure or data loss scenarios for concrete dams in service is essential and complex. This study presents a stress estimation method driven by the observation data. Firstly, a one-to-one correspondence exists between dam deformation reflecting the load effect and structural stress. Estimating the structural stress by simulating load effects with dam
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Hu, Rui, Bruno Michel, Dario Russo, et al. "An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care." Future Internet 13, no. 1 (2020): 6. http://dx.doi.org/10.3390/fi13010006.

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Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data through an environmental sensor package, including binary motion, contact, pressure, and proximity sensors, installed at households of elderly people. Its aim is to keep the caregivers informed of subjects’ health-status progressive trajectory, and alert them of health-related anomalies to enable objective on-demand healthcare service delivery at scale.
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Kugler, Zsofia, Son Nghiem, and G. Brakenridge. "L-Band Passive Microwave Data from SMOS for River Gauging Observations in Tropical Climates." Remote Sensing 11, no. 7 (2019): 835. http://dx.doi.org/10.3390/rs11070835.

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The Global Flood Detection Systems (GFDS) currently operated at the European Commission’s Joint Research Centre (JRC) is a satellite-based observation system that provides daily stream flow measurements of global rivers. The system was initially established using NASA Advanced Microwave Scanning Radiometer—Earth Observing System (AMSR-E) Ka-band passive microwave satellite data. Since its initiation in 2006, the methodology and the GFDS database have been further adapted for data acquired by the Tropical Rainfall Measuring Mission (TRMM) GOES Precipitation Index (GPI), the AMSR2 sensor onboard
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Irshad, Tayyaba, Rafi-us Shan, Raja Wasim Ahmad, Abbas Khalid, and Siti Hafizah Ab Hamid. "MULTI-RAT BASED ADAPTIVE QUALITY OF SERVICE (QOS) MANAGEMENT IN WBAN." Malaysian Journal of Computer Science 33, no. 4 (2020): 252–69. http://dx.doi.org/10.22452/mjcs.vol33no4.1.

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Wireless body area network (WBAN), a sub-branch of wireless sensor networks (WSN), helps continuous monitoring of various conditions and states of a human body. It has vast application areas, including self-care, battlefield, health, sports, assisted living, and entertainment. In WBAN, sensors (e.g., ECG, EEG, EMG, and temperature) may transmit sensed information of the subject under observation to a personal server which directs it to the main server for the analysis. The requirement of an application in terms of reliability and delay varies depending on the situation and environment. For ins
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Appel, Florian, Franziska Koch, Anja Rösel, et al. "Advances in Snow Hydrology Using a Combined Approach of GNSS In Situ Stations, Hydrological Modelling and Earth Observation—A Case Study in Canada." Geosciences 9, no. 1 (2019): 44. http://dx.doi.org/10.3390/geosciences9010044.

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The availability of in situ snow water equivalent (SWE), snowmelt and run-off measurements is still very limited especially in remote areas as the density of operational stations and field observations is often scarce and usually costly, labour-intense and/or risky. With remote sensing products, spatially distributed information on snow is potentially available, but often lacks the required spatial or temporal requirements for hydrological applications. For the assurance of a high spatial and temporal resolution, however, it is often necessary to combine several methods like Earth Observation
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Moodley, Deshendran, Ingo Simonis, and Jules Raymond Tapamo. "An Architecture for Managing Knowledge and System Dynamism in the Worldwide Sensor Web." International Journal on Semantic Web and Information Systems 8, no. 1 (2012): 64–88. http://dx.doi.org/10.4018/jswis.2012010104.

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Sensor Web researchers are currently investigating middleware to aid in the dynamic discovery, integration and analysis of vast quantities of both high and low quality, but distributed and heterogeneous earth observation data. Key challenges being investigated include dynamic data integration and analysis, service discovery and semantic interoperability. However, few efforts deal with managing knowledge and system dynamism. Two emerging technologies that have shown promise in dealing with these issues are ontologies and software agents. This paper presents an integrated ontology driven agent b
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Avi, Arunav Mallik, Md Sohel Rana, Mustakim Billah Bedar, and Md Asif Talukder. "An android application and speech recognition-based IoT-enabled deployment using NodeMCU for elderly individuals." Bulletin of Electrical Engineering and Informatics 12, no. 5 (2023): 2763–76. http://dx.doi.org/10.11591/eei.v12i5.5062.

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The internet of things (IoT) is the trendiest technology in the computing, Embedded and modern control systems industries. An efficient IoT-enabled home automation technique that allows users to remotely control home appliances and observe sensor data from a long distance via internet connectivity. This study identifies a smart approach to assisting any user, particularly elderly individuals, to control home appliances and monitor home weather conditions using an Android application and voice command using speech recognition. Multiple specialized microcontrollers, especially NodeMCU and other
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Habibi, Roya, and Ali Asghar Alesheikh. "Managing coverage holes in IoT monitoring sensor networks." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-103-2019.

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<p><strong>Abstract.</strong> Coinciding with the development of sensor networks, communication technologies and also emerging the Internet of Things (IoT), the way was smoothed for the improvement of environmental observation tasks. The basic considered architecture for IoT is a 3-layer architecture including application, network, and perception layers respectively. The lowest layer is tasked with sensing the physical world. In environmental observation and monitoring, in-situ sensing and remote sensing generally do this duty. If the variability of the phenomenon in space an
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Sorg, Juergen, and Ralf Kunkel. "Conception and Implementation of an OGC-Compliant Sensor Observation Service for a Standardized Access to Raster Data." ISPRS International Journal of Geo-Information 4, no. 3 (2015): 1076–96. http://dx.doi.org/10.3390/ijgi4031076.

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Chen, Nengcheng, Xu Chen, Ke Wang, and Xiaoguang Niu. "Progress and challenges in the architecture and service pattern of Earth Observation Sensor Web for Digital Earth." International Journal of Digital Earth 7, no. 12 (2013): 935–51. http://dx.doi.org/10.1080/17538947.2013.834385.

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Liu, Zhen, Bingyan Cui, Qifeng Yang, and Xingyu Gu. "Sensor-Based Structural Health Monitoring of Asphalt Pavements with Semi-Rigid Bases Combining Accelerated Pavement Testing and a Falling Weight Deflectometer Test." Sensors 24, no. 3 (2024): 994. http://dx.doi.org/10.3390/s24030994.

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The Structural Health Monitoring (SHM) of pavement infrastructures holds paramount significance in the assessment and prognostication of the remaining service life of roadways. In response to this imperative, a methodology for surveilling the surface and internal mechanical responses of pavements was devised through the amalgamation of Accelerated Pavement Testing (APT) and Falling Weight Deflectometer (FWD) examinations. An experimental road segment, characterized by a conventional asphalt pavement structure with semi-rigid bases, was meticulously established in Jiangsu, China. Considering ni
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Boon, John D. "Reducing Wave-Induced Microwave Water-Level Measurement Error with a Least Squares–Designed Digital Filter*." Journal of Atmospheric and Oceanic Technology 31, no. 2 (2014): 491–502. http://dx.doi.org/10.1175/jtech-d-13-00160.1.

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Abstract A microwave water-level sensor, the Design Analysis model H-3611i, will soon enter service at tide stations operated by the National Oceanic and Atmospheric Administration’s Center for Operational Oceanographic Products and Services (CO-OPS) as part of the National Water Level Observation Network. CO-OPS tests include a multisensor deployment at the U.S. Army Corps of Engineers Field Research Facility at Duck, North Carolina, to evaluate microwave water-level measurement error over a wide range of Atlantic Ocean sea states. In situ precision and accuracy of processed (6-min average) w
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Kooistra, Lammert, Aldo Bergsma, Beatus Chuma, and Sytze De Bruin. "Development of a Dynamic Web Mapping Service for Vegetation Productivity Using Earth Observation and in situ Sensors in a Sensor Web Based Approach." Sensors 9, no. 4 (2009): 2371–88. http://dx.doi.org/10.3390/s90402371.

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Ahmed, Abdelmuttlib Ibrahim Abdalla, Siti Hafizah Ab Hamid, Abdullah Gani, Ahmed Abdelaziz, and Mohammed Abaker. "Formal Analysis of Trust and Reputation for Service Composition in IoT." Sensors 23, no. 6 (2023): 3192. http://dx.doi.org/10.3390/s23063192.

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The exponential growth in the number of smart devices connected to the Internet of Things (IoT) that are associated with various IoT-based smart applications and services, raises interoperability challenges. Service-oriented architecture for IoT (SOA-IoT) solutions has been introduced to deal with these interoperability challenges by integrating web services into sensor networks via IoT-optimized gateways to fill the gap between devices, networks, and access terminals. The main aim of service composition is to transform user requirements into a composite service execution. Different methods ha
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Sahri, Khaldoune, Maria Pietrzak-David, Lotfi Baghli, and Abdelaziz Kheloui. "Real time emulator for parallel connected dual-PMSM sensorless control." International Journal of Power Electronics and Drive Systems (IJPEDS) 12, no. 3 (2021): 1390. http://dx.doi.org/10.11591/ijpeds.v12.i3.pp1390-1404.

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<p>This paper presents a real-time emulator of a dual permanent magnet synchronous motor (PMSM) drive implemented on a field-programmable gate array (FPGA) board for supervision and observation purposes. In order to increase the reliability of the drive, a sensorless speed control method is proposed. This method allows replacing the physical sensor while guaranteeing a satisfactory operation even in faulty conditions. The novelty of the proposed approach consists of an FPGA implementation of an emulator to control the actual system. Hence, this emulator operates in real-time with actual
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