Meimanat Soleimanifar

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This paper describes the implementation of an indoor positioning architecture based on radio frequency profiling using received signal strength (RSS) measurements for localizing and tracking resources in construction-related applications. The profiling-based approach is coupled with commonly used noise filtering algorithms in order to cope with the(More)
Background: As offsite prefabrication and modular construction continue to gain momentum into the future, material supply chain becomes increasingly complex for modern construction projects. Pre-engineered material supply presents itself as a driver for planning crew installation operations on site that involve skilled labor and heavy equipment. Methods:(More)
Iterative learning control methods are represented as powerful tools to control dynamics nowadays. Our new controller based on particular case of iterative learning control is radically different from the presented conventional method, which attempts to stabilize a class of nonlinear systems by satisfying the conditions of Lyapunov Stability Theorem. Since(More)
This paper introduces a cost-effective and robust positioning architecture that relies on wireless sensor networks (WSNs) for construction resources localization. The architecture determines the location of mobile sensor nodes by evaluating radio signal strengths (RSS) received by stationary sensor nodes. Only a limited quantity of reference points with(More)
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