Compression of training sets is a technique for reducing training set size without degrading classification accuracy. By reducing the size of a training set, training will be more efficient in addition to saving storage space. In this paper, an incremental clustering algorithm, the Leader algorithm, is used to reduce the size of a training set by effectively subsampling the training set. Experi...

OBJECTIVE To develop and evaluate a practical formula for the optimum ratio of compressions to ventilations in cardiopulmonary resuscitation (CPR). The optimum value of a variable is that for which a desired result is maximized. Here the desired result is assumed to be either oxygen delivery to peripheral tissues or a combination of oxygen delivery and waste product removal. METHOD Equations ...

This paper presents a new compression method for embedded core-based system-on-a-chip test. In addition to the new compression method, this paper analyzes the three test data compression environment (TDCE) parameters: compression ratio, area overhead and test application time, and explains the impact of the factors which influence these three parameters. The proposed method is based on a new Va...