By Fabio Perez Marzullo, Rodrigo Novo Porto (auth.), Roger Lee, Haeng-Kon Kim (eds.)
The function of the seventh IEEE/ACIS foreign convention on machine and data technology (ICIS 2008) and the 2nd IEEE/ACIS foreign Workshop on e-Activity (IWEA 2008) to be hung on may well 14 – sixteen, 2008 in Portland, Oregon, U.S.A. is to assemble scientists, engineers, machine clients, and scholars to percentage their studies and trade new principles and study effects approximately all facets (theory, purposes and instruments) of desktop and knowledge technology; and to debate the sensible demanding situations encountered alongside the best way and the strategies followed to resolve them.
The convention organizers chosen 23 impressive papers from ICIS/IWEA 2008, all of which you'll locate during this quantity of Springer’s experiences in Computational Intelligence.
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IEEE Transactions on Biomedical Engineering 53(12), 2577–2583 (2006) 5. : Wavelet-Based low-Delay ECG Compression Algorithm for Continuous ECG Transmission. IEEE Transactions on Information Technology in Biomedicine 10(1), 77–83 (2006) 6. : On the Use of 2-D Coding Techniques for ECG Signals. IEEE Transactions on Information Technology in Biomedicine 10(4), 809–811 (2006) 7. : An Effective and Efficient Compression Algorithm for ECG Signals with Irregular Periods. IEEE Transactions on Biomedical Engineering 53(6), 1198–1205 (2006) 8.
The radial expansion algorithm is depicted in Figure 4. Input: Homogenous set F with HD(F), RF, and + 1. , RF = RM). 2. Set hypersphere G covering M with radius RG = 2 × RM . 3. , RE = RM). Expand M by using Equation (10). 3 or RM = RG). 4. If RM satisfies stopping conditions, then STOP. Else, go to Step 2. Output: An expanded region E. Fig. 4. The algorithm for the radial expansion The idea of this algorithm is to expand a homogeneous set F as much as possible by using a dichotomous search methodology.
Else, go to Step 2. Output: An expanded region E. Fig. 4. The algorithm for the radial expansion The idea of this algorithm is to expand a homogeneous set F as much as possible by using a dichotomous search methodology. That is, RF is increased by a certain amount denoted as T , called a step-size increase, in each iteration. Thus, one gets: RM = RF + T. (6) A value for T is determined as follows. We first assume that there exists a hypersphere G which covers the homogenous set F . Without loss of generality, let us assume that the radius RG may be computed by: RG = 2 × RF (7) By using RG and RF , we can derive the step-size increase T .