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Nowadays, the development of flexible and interoperable software platforms for industry is an important issue. The CCM model captures two paramount features of such platforms, as it combines component-based middleware (easy composition of new applications and maintainability) and the openness of the CORBA standard. Though there exist an implementation of CCM devoted to real-time systems (CIAO platform),...
In this paper we show some sensor linearizing methods based on feed-forward neural networks (multilayer perceptron). These procedures can be easily programmed into a computer-based data acquisition system. Nevertheless, we show that introducing some simplifications in the neural network architecture, these linearization procedures can also be programmed onto low-cost microcontrollers for embedded...
In modern communication networks the task of synchronizing the system clock of nodes is of growing interest. Especially in sensor networks synchronized applications are of crucial importance, but a global view of the system status can only be examined if the individual data acquisitions are exactly related to each other. This imposes constraints on the implementation that are rarely discussed. The...
This paper introduces a tooth rotation energy estimation (TREE) technique and its implementation on a PIC Microcontroller based distributed machine tool condition monitoring system. The technique uses existing machine signals namely; spindle speed and spindle load for the purpose of data acquisition, analysis and decision making thus avoiding the use of any additional sensors. The paper discusses...
In many digital control applications, data acquisition and process control are time-critical actions, assumed to be instantaneous and strictly periodic. However, aspects related to real-time scheduling algorithms may postpone the task execution and, consequently, delay the data acquisition and process control. We consider the acquired data from sensors as valid if acquired inside a time-interval that...
Measurements of human physiological data allow inferring information on the mental and emotional state of a human. An increasing number of application developers and scientists of different domains want to make use of this additional information on users. To be accepted in practical application, systems of this sort have to be easy to use, should not intrude the user by wires, and it should be easy...
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