Search

The structural integrity and aesthetic quality of concrete structure exposed to open-air area are vulnerable to sunlight, heat, moisture and rains, thus resulting in deposition of deteriogenic biofilms, especially on the floor surfaces. Apart from visual inspection, there is a need for scientific approach to assess and quantify the extent of bio-deposition. Our sample is a floor tile, fully exposed to outdoor environment. The study comprises of two folds: at first stage, we employ statistical image analysis technique to analyse and quantify various bio-depositories on the sample. In the next stage, we subject the sample image to undergo fusion process utilising discrete wavelet transform technique. Subsequently, we try to explore the change in the image quality and quantification aftermath image fusion.

Multisensor data fusion is an emerging technology applied in various engineering applications. It provides significant advantages over single-source data. The use of multiple types of sensors plays an important role in achieving reasonable accuracy and precision. A novel integrated heterogeneous multisensor data fusion approach in structural health monitoring is proposed. The study concerns to find a simple and affordable monitoring strategy for alkali-aggregate reaction (AAR), which is one of the root causes for structural deterioration in concrete.A standard method to accelerate AAR expansion is employed on four samples, which are prepared with different levels of alkali concentrations. Different sensor systems are used at surface and internal levels. Acoustic sensor system, electromechanical system, and optical systems are employed to obtain surface level damage. The internal level of damage is obtained by embedded sensors within the structure. Features extracted from heterogeneous sensors are fed to d...

Implementation of a data fusion system is a complex task. Several of the most critical issues related to the implementation are requirements analysis, sensor selection, architecture selection, algorithm selection, software implementation and testing and evaluation. A number of data fusion frameworks have been developed to serve the purpose. This article reviews the literature on data fusion models, as well as aspects of systems engineering related to multisensory fusion. A novel generic framework is proposed to link data fusion system engineering with algorithm engineering paradigm. A new term called ‘impact factor’ is introduced to designate data fusion performance research findings.