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Today, in an Industry 4.0 factory, machines are connected as a collaborative community. Such evolution requires the utilization of advance prediction tools so that data can be systematically processed into information that can explain the uncertainties and thereby make more " informed " decisions. Cyber-Physical System based manufacturing and service(More)
Finding a least-cost-path in a raster data format is a useful function in geographical information systems. However, existing algorithms are often inadequate for practical roadway planning. This paper improves conventional algorithms by including the considerations of spatial distances, anisotropic costs and the presence of bridges and tunnels in the paths.(More)
In today's global competitive marketplace, there is intense pressure for manufacturing industries to continuously reduce and eliminate costly, unscheduled downtime and unexpected breakdowns. With the advent of Internet and tether-free technologies, companies necessitate dramatic changes in transforming traditional ''fail and fix (FAF)'' maintenance(More)
(2009) Empirical analysis of support vector machine ensemble classifiers. Abstract Ensemble classification – combining the results of a set of base learners – has received much attention in the machine learning community and has demonstrated promising capabilities in improving classification accuracy. Compared with neural network or decision tree ensembles,(More)
Bearing failure is one of the foremost causes of breakdowns in rotating machinery and such failure can be catastrophic, resulting in costly downtime. One of the key issues in bearing prognostics is to detect the defect at its incipient stage and alert the operator before it develops into a catastrophic failure. Signal de-noising and extraction of the weak(More)
We present the design of a minimal interface to access digital information using glass bottles as "containers" and "controls". The project illustrates our attempt to explore the transparency of an interface that weaves itself into the fabric of everyday life, and exploits the emotional aspects of glass bottles that are both tangible and visual. This paper(More)