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The Open Geospatial Consortium and Location Service Standards
Published in Hassan A. Karimi, Advanced Location-Based Technologies and Services, 2016
Access to sensors for real-time data is an increasing requirement in location services. Since 2000, the OGC has worked on defining a suite of standards for describing, tasking, and accessing sensors that are accessible via some network. The OGC Sensor Observation Service (SOS) standard defines an interface and operations that when implemented enable access to observations from sensors and sensor systems in a standard way that is consistent for all sensor systems including remote, in situ, fixed, and mobile sensors. SOS leverages the Observation and Measurements (O&M) specification for modeling sensor observations and the SensorML specification for modeling sensors and sensor systems.
Developing and Testing of Software for Wireless Sensor Networks
Published in Richard Zurawski, Networked Embedded Systems, 2017
Jan Blumenthal, Frank Golatowski, Ralf Behnke, Steffen Pruter, Dirk Timmermann
The sensor observation service (SOS) defines a standard and consistent interface to access data. The SOS communicates via a handshake protocol between a client and an observation repository. The observation repository is a database anywhere in the network to collect measurement data which can be accessed by any clients.
Multi-scale hydrological system-of-systems realized through WHOS: the brokering framework
Published in International Journal of Digital Earth, 2022
Enrico Boldrini, Stefano Nativi, Silvano Pecora, Igor Chernov, Paolo Mazzetti
Interfaces providing both discovery and access functionalities: OGC SOS (OGC 2012): The OGC Sensor Observing Service (SOS) interface provides sensor data discovery and access functionalities, including querying observations, sensor metadata, as well as representations of observed features. The data model supported by WHOS SOS are OGC Observations & Measurements (O&M) and OGC WaterML 2 (WML).DAB API (ESSI-Lab 2016): this JSON-based REST API interface provides discovery and access functionalities easing the development of web portals and custom user tools. It includes specific operations for timeseries, based on a JSON encoding of O&M.
The effect of an individual's education level on their systems skills in the system of systems domain
Published in Journal of Management Analytics, 2020
Niamat Ullah Ibne Hossain, Morteza Nagahi, Raed Jaradat, Erin Stirgus, Charles B. Keating
These current gaps might impact the education process and its learning outcomes in the U.S. and therefore, many organizations, including the National Science Foundation (NSF) and the U.S. military fund researches that focus on how to produce more holistic thinking engineers. Since SoS problem domains have a combination of both technical and non-technical aspects, it is essential to have holistic engineers who are capable of navigating the technical and non-technical dimensions of SoS problems. SoS problem domains have a combination of both technical (technology-based) and non-technical (culture, human/social, policy, politics, power,) aspects (Checkland & Scholes, 1999b; Clegg, 2000; Jaradat et al., 2020; Keating et al., 2003; Nagahi et al., 2020b; Nagahi, Hossain, & Jaradat, 2019a; Senge, 2004). Appreciation of a holistic frame of reference is necessary for the development of rigorous solutions to more effectively address complex multidimensional problems (Checkland, 1999a; Clark et al., 2017; Nagahi et al., 2020a; Nagahi, Hossain, Jaradat, & Grogan, 2019b).
Coupling sensor observation services and web processing services for online geoprocessing in water dam monitoring
Published in International Journal of Digital Earth, 2018
C. Stasch, B. Pross, B. Gräler, C. Malewski, C. Förster, S. Jirka
To standardize Web-based discovery, access and tasking of different kinds of environmental sensors and to ease their integration in spatial data infrastructures, the OGC has introduced the Sensor Web Enablement initiative (Botts et al. 2007; Bröring et al. 2011). The SOS is the most widely used Sensor Web standard and defines a Web Service interface for managing observation data and sensor metadata (Tamayo et al. 2011; Bröring, Stasch, and Echterhoff 2012). It provides information about the observations offered in its service capabilities, for example, spatio-temporal extent, and offers additional operations for sensor metadata (DescribeSensor) and observation retrieval (GetObservation). New sensors and observations can be inserted using a transactional interface. For modelling and encoding the data, the SOS relies upon the Observation & Measurements (O&M) standard that defines common models and encodings for observation data (Cox 2007, 2011) and the Sensor Model Language (SensorML) standard for sensor metadata (Botts and Robin 2014).