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In the intelligent monitoring of the hypertensive patients, it's necessary to assess their treatment effect and give corresponding diagnostic feedback automatically. This paper proposed a hybrid decision support system (DSS) combining several data mining techniques using an improved weighted majority voting scheme (iWMV). The mass health data of hypertensive patients were used as data source of the...
Elaborating the project status for large-scale software projects is a very important task of the project manager due to the high need of control of such projects. Depending on the strategy used for elaborating the project status, the project manager has more or less information that they can further use in their decision-making process. In this paper we propose a classification of project status accuracy...
A new method for extracting respiratory rate from electrical impedance measured on the arms is presented. The method requires application of only four electrodes to the subject's arms and is suitable to be used in a portable respiratory rate monitor and decision making systems. Set-Membership filtering is used to reduce the effect of motion artifact on the signal.
Forest fires are serious natural disasters around the world, which will devastate forests heavily and cause enormous financial losses. It has great significance for the application research and development of forest fire monitoring, which improve forecast accuracy of forest fire warning, prepare for forest fire prevention, detect fire point in time, and extinguish the fire fast and efficient. The...
Brain dynamics were analyzed during decision making using human electroencephalographic signals. We sought to identify the pattern of brain activity for actions with and without decision-making, while subjects engaged in an instrumental reward based learning task. Event related potentials (ERPs) were analyzed for reference trials (no choice required) and decision trials. To detect brain activity during...
A decision making architecture for intelligent agents is presented in this paper. It allows agents to perform autonomous behavior with respect to its own goals and cooperation with other agents. We focus on computational agents that encapsulate various methods of computational intelligence, such as neural networks, genetic algorithms, and similar methods. The goal of these agents is typically to solve...
A rehabilitation training system based on multi-parameters status monitoring and information fusion is discussed in this paper. The signal processing system is built with MSJP430 series MCU. Soft judgment is carried out based on all kind of information from the force on driving wheel, the speed of driving motor, the stress of patient's sit gesture from sensor array. Specific observation domain is...
This paper makes some improvements on MFCC feature extraction and proposes a quick MFCC algorithm which is used for Real-Time Speaker Recognition System. Based on the quick MFCC algorithm, the paper uses Differential MFCC for feature extraction and Vector Quantization plus GMM model for classification to achieve a better result. It can meet the requirements of real-time system in case of the high...
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