Abstract: When maintenance resources in a manufacturing system are limited, a challenge arises in determining how to allocate these resources among multiple competing maintenance jobs. This work formulates an online prioritization ...

Abstract: Healthcare experts have come to a consensus that effective and safe vaccines are necessary to control the rapid spread of the ongoing COVID-19 pandemic across the globe. Since the traditional vaccine development and ...

Abstract: The paper presents the concept and prototype development of a hierarchically structured knowledge-based system (KBS) for coordinated control of a welding robot and a positioning table. The KBS ...

Abstract: This paper investigates a flank wear estimation technique in turning through wavelet representation of acoustic emission (AE) signals. It is known that the power spectral density of AE signals ...

Abstract: Acoustic emission (AE) signals are emerging as promising means for monitoring machining processes, but understanding their generation is presently a topic of active research; hence techniques to ...

Abstract: Pavement cracking can be considered to be an irreversible step-by-step fracturing process induced by cyclic truck load applications. Hence, pavement crack propagation depends primarily on the accumulated axle loads (ESALs) ...

Abstract: The explosive pace of globalization and the rapid development of information and communications technologies continue to impact the evolution of industrial systems. They have become completely ...

Abstract: Modularization of parts—a fairly recent trend in product development—allows part definitions to be kept in a machine-readable form, making it possible to define a part based on its input ...

Abstract: This paper presents a neural network approach for building Neuroform, a computer system that provides the selection of vertical formwork systems for a given building site. The reasons for choosing a neural network approach ...