This paper presents a method for performance evaluation, ranking and clustering based on the double-frontier view to analyze the complex networks. The model allows us to open the structure of the “black box” and can help to obtain important information about efficient and inefficient points of the system. In this paper, we consider a three-stage network, in respect to the additional desirable a...

IEEE 802.15.4/ZigBee and TinyOS have been playing an important role in leveraging a new generation of largescale networked embedded systems. However, based on previous experience on the implementation and use of the IEEE 802.15.4/ZigBee protocols over TinyOS, several problems (producing loss of synchronization and even network crashes) emerge due to some limitations of TinyOS, namely related to...

Manufacturing organizations seek to effectively integrate diverse service participants and their resources into a synthesized activity and also to make use of available assets efficiently. In pursuit of these goals companies follow a common strategy of implementing what are called “Best Practices” in the supply chains. Our aim is to examine if the best practices proposed for the manufacturing s...

Previous work has high classification accuracy when classifying music genres that are very different [1] (e.g. rock vs. pop, jazz vs. classical), but little machine learning research has been done to classify music by subgenres within a larger genre that describe temporally and stylistically similar music. In this paper, we apply machine learning to classify classical music by time period. To d...

Execution of programs with various data structures often requires dynamic memory management based on garbage collection for better productivity, robustness, and program integrity. In spite of its benefits, garbage collection has not been widely used in embedded real-time systems partly because it often causes unpredictable pause delay. Guaranteeing real-time operations with garbage collection a...

Cache memories have been extensively used to bridge the gap between high speed processors and relatively slow main memories. However, they are a source of predictability problems because of their dynamic and adaptive behavior, and thus need special attention to be used in hard-real time systems. A lot of progress has been achieved in the last ten years to statically predict the worst-case behav...