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The value of structural health information is the expected utility gain of a built environment system by information provided by structural health monitoring (SHM).The quantification of the value of structural health information is based on decision analysis adapted to built environment engineering.
The Illinois Structural Health Monitoring Project was founded in 2002 when Professor Bill F. Spencer, director of the Smart Structures Technology Laboratory, and Professor Gul Agha, director of the Open Systems Laboratory, began a collaborative effort between the two laboratories at the University of Illinois at Urbana–Champaign.
Bridges in Hong Kong. The Wind and Structural Health Monitoring System is a sophisticated bridge monitoring system, costing US$1.3 million, used by the Hong Kong Highways Department to ensure road user comfort and safety of the Tsing Ma, Ting Kau, Kap Shui Mun and Stonecutters bridges. [10]
HRHIS is a human resource for health information system for management of human resources for health developed by University of Dar es Salaam college of information and communication technology, Department of Computer Science and Engineering, for Ministry of Health and Social Welfare (Tanzania) and funded by the Japan International Cooperation ...
DB Lytix – 800+ in-database models; EViews – for econometric analysis; FAME (database) – a system for managing time-series databases; GAUSS – programming language for statistics; Genedata – software for integration and interpretation of experimental data in the life science R&D; GenStat – general statistics package
BIM & 3D modeling software applied for civil & structural engineering RFEM: 3D structural analysis & design software SDC Verifier: Structural verification and code-checking according to different industrial standards SimScale: Multiphysics simulation (CFD, FEA, Thermal Analysis) applied for structural and civil engineering SketchUp
JasperReports is an open source reporting library that can be embedded into any Java application. Features include: Scriptlets may accompany the report definition, [3] which the report definition can invoke at any point to perform additional processing.
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]