By supplementing these large scale civil engineering systems with appropriate sensors, actuators and a supervisory control and data acquisition communication infrastructure, systems engineering ideas can be applied to improve their overall utility.
This should be done in a scalable and extensible framework for data acquisition, independent of conditions such as network infrastructures, operating system or data exchange protocols.
The developments in Geographic Information Science (GIScience) such as interoperable and web-based Spatial Data Infrastructures (SDI) or highly accurate geospatial data acquisition techniques provide novel means to analyze and visualize the spatial dimension of several public health domains [ 1].
Our most recent efficiency savings initiative is the introduction of a new SCADA (supervisory control and data acquisition) industrial control system for remotely monitoring and managing gas infrastructure via mobile networks and the internet.
Campaigners argue that the bill contains new and unprecedented powers for the UK to require overseas companies to comply with interception warrants and communications data acquisition requests and build interception capabilities into their products and infrastructure.
Thus, we establish a new paradigm for mosquito surveillance that takes advantage of the existing global mobile network infrastructure, to enable continuous and large-scale data acquisition in resource-constrained areas.
The Center for Digital Scholarship will provide services, such as project consultations, data acquisition and conversion, workshops in tools and techniques, and core technical infrastructure.
Critical infrastructure is increasingly controlled by Scada, or supervisory control and data acquisition systems.
A programme has begun on MAST to replace its ageing CAMAC and VME based data acquisition systems with new modern hardware which, together with several improvements in the supporting infrastructure, will provide support for faster data acquisition rates, longer-pulse operation, faster data access and higher reliability.
Infrastructure components discussed include the field measurements, data sampling considerations and recommendations, data acquisition and supervisory control and data acquisition (SCADA), telecommunications, resilient system design, and long-term archiving of results and inputs.
