scholarly journals PostGIS-Based Heterogeneous Sensor Database Framework for the Sensor Observation Service

2012 ◽  
Vol 8 ◽  
pp. 55-72
Author(s):  
Ikechukwu Maduako

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. Massive work load in large raster downloads from flat-file raster data sources each time a request is made and huge integration and geo-processing work load on the service middleware which could actually be better leveraged at the database level. In this paper, we propose and present a heterogeneous sensor database framework or model for integration, geo-processing and spatial analysis of remote and in-situ sensor observations at the database level.  And how this can be integrated in the Sensor Observation Service, SOS to reduce communication and massive workload on the Geospatial Web Services and as well make query request from the user end a lot more flexible.

1993 ◽  
Author(s):  
D. E. Kranbuehl ◽  
S. Hart ◽  
Y. Wang ◽  
D. F. Schwartz

Author(s):  
Aleksandra Radulovic ◽  
Dubravka Sladic ◽  
Miro Govedarica ◽  
Dragana Popovic ◽  
Jovana Radovic

Materials ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2173
Author(s):  
Mareike Thiedeitz ◽  
Inka Dressler ◽  
Thomas Kränkel ◽  
Christoph Gehlen ◽  
Dirk Lowke

Cementitious pastes are multiphase suspensions that are rheologically characterized by viscosity and yield stress. They tend to flocculate during rest due to attractive interparticle forces, and desagglomerate when shear is induced. The shear history, e.g., mixing energy and time, determines the apparent state of flocculation and accordingly the particle size distribution of the cement in the suspension, which itself affects suspension’s plastic viscosity and yield stress. Thus, it is crucial to understand the effect of the mixing procedure of cementitious suspensions before starting rheological measurements. However, the measurement of the in-situ particle agglomeration status is difficult, due to rapidly changing particle network structuration. The focused beam reflectance measurement (FBRM) technique offers an opportunity for the in-situ investigation of the chord length distribution. This enables to detect the state of flocculation of the particles during shear. Cementitious pastes differing in their solid fraction and superplasticizer content were analyzed after various pre-shear histories, i.e., mixing times. Yield stress and viscosity were measured in a parallel-plate-rheometer and related to in-situ measurements of the chord length distribution with the FBRM-probe to characterize the agglomeration status. With increasing mixing time agglomerates were increasingly broken up in dependence of pre-shear: After 300 s of pre-shear the agglomerate sizes decreased by 10 µm to 15 µm compared to a 30 s pre-shear. At the same time dynamic yield stress and viscosity decreased up to 30% until a state of equilibrium was almost reached. The investigations show a correlation between mean chord length and the corresponding rheological parameters affected by the duration of pre-shear.


Author(s):  
Krishnan Balasubramaniam ◽  
V. Vimal ◽  
Gary Boudreaux ◽  
R. Daniel Costley ◽  
Clinton Menezes ◽  
...  
Keyword(s):  

2011 ◽  
Vol 308-310 ◽  
pp. 2328-2333
Author(s):  
Li Fu Li

The thermal control indicators CAE methods of Space optical remote sensor are analyzed in the presented work. We sat up a thermal optical analysis model for space optical remote sensor. By assuming fully covered by in-orbit temperature load, and using the finite element method for thermal deformation analysis, we obtained the optical remote sensor surface deformation and displacement under various thermal loading. Using ZERNIKE polynomial, wave was fitted to obtain ZERNIKE polynomial coefficients which were incorporated into the optical system design. Using CODE V optical calculation software, heat-ray machines under elastic deformation of the system point spread function, transfer function (MTF), wave front differential (WFE) etc. were calculated. Image quality changes of remote sensors are discussed in variety assumed cases such as temperature loads of quality change. By repeated iteration, critical value of temperature fields meeting the design requirements are obtained for the optical system. Optical indicators were converged to the temperature field indicator, then reasonable indicators of thermal control for remote sensors were obtained. For the thermal control design, this method provided a reliable basis for design.


Author(s):  
Elias Z. K. Ioup ◽  
John T. Sample

Granularity is often ignored when designing geospatial Web services. Choices relating to granularity affect service interfaces, data storage and organization, and XML format design. This chapter highlights the importance of analyzing usage and performance requirements when deciding on granularity choices in the design of geospatial Web services. Often, instead of making design decisions based on these requirements, geospatial services are implemented using default, commonly used techniques which may reduce performance, increase complexity, or fail to fully meet user needs. This chapter discusses the importance of granularity in designing and implementing geospatial Web services and provides common examples that highlight the different approaches to granularity which are available.


2017 ◽  
Vol 51 (4) ◽  
pp. 6-11
Author(s):  
Dallas J. Meggitt ◽  
Michèle Bullock

AbstractForward-deployed and remote sensor systems all require persistent, autonomous, reliable in situ sources of energy. There are several different classes of forward-deployed systems, each of which typically has a different range of energy requirements. Some of these systems are buoys; others are bottom-laid. Several such systems are being developed for a variety of scientific and military applications, including, for example, (1) remote systems with a single or small number of sensors; (2) networked scientific sensor systems (Undersea Distributed Networks); (3) low-power, forward-deployed surveillance systems with many sensors; and (4) forward-deployed communications relay systems. Energy requirements for these systems depend on several factors, including overall energy requirements, mission duration, duty cycle, observability, and fixed or mobile system. Many previous and current forward-deployed systems have depended on batteries for energy, but batteries are limited in the amount of energy they can store unless they can be recharged or replaced. Some previous systems have used diesel, sometimes in combination with solar panels and battery backups, but solar panels degrade and lose efficiency with salt encrustation, corrosion, and bird excrement. Recent developments in reliable, scalable wave energy technology, together with relatively efficient energy storage technologies, offer the opportunity for application of these technologies for providing autonomous power to remote sensor systems. This paper describes several remote sensor systems, reviews and summarizes energy requirements for these systems, and provides in situ wave energy system concepts to meet these requirements. The paper focuses on wave energy as being closest to practical implementation of current renewable energy technologies.


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