Prapa Rattadilok

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This paper investigates an emerging class of search algorithms , in which high-level domain independent heuristics, called hyper-heuristics, iteratively select and execute a set of application specific but simple search moves, called low-level heuristics, working toward achieving improved or even optimal solutions. Parallel architectures have been designed(More)
The paper proposes a generic approach to building inferential measurement systems. The large amount of data needed to be acquired and processed by such systems necessitates the use of machine learning techniques. In this study, an inferential measurement system aimed at enhancing situation awareness has been developed and tested on simulated traffic(More)
This version may not include final proof corrections and does not include published layout or pagination. Anomaly monitoring framework based on intelligent data analysis. Available from OpenAIR@RGU. are protected by copyright and intellectual property law. If you believe that any material held in 'OpenAIR@RGU' infringes copyright, please contact(More)
An adaptive multi-tiered framework, which can be utilised for designing a context-aware cyber physical system is proposed in the paper and is applied within the context of providing data availability by monitoring electromagnetic interference. The adaptability is achieved through the combined use of statistical analysis and computational intelligence(More)
The need to assess internet performance from the user's perspective grows, as does the interest in deployment of Large-Scale Measurement Platforms (LMAPs). The potential of these platforms as a real-time network diagnostic tool is limited by the volume, velocity and variety of the data they generated. Fusing this data from multiple sources and generating a(More)