According to the growth of the Internet technology, there is a need to develop strategies in order to maintain security of system. One of the most effective techniques is Intrusion Detection System (IDS). Clustering which is commonly used to detect possible attacks is one of the branches of unsupervised learning. Fuzzy clustering algorithms play an important role to reduce spurious alarms and I...

recording. On the subject of abscess of the spleen, Kelly and Noble in Gynaecology and Abdominal Surgery say "the formation of abscesses in the spleen in cases of py?3mia is a common occurrence, but such abscesses are usually small, and not recognizable during the life of the patient. Primary abscess iu the spleen is rare. I)ouglas gives a resume of seven cases reported by Kessel Hagen and adds...

E¡ectof barleyand oat cultivarswith di¡erent carbohydrate compositionson the intestinal bacterial communities inweaned piglets Robert Pieper, Rajesh Jha, Brian Rossnagel, Andrew G. Van Kessel, Wolfgang B. Souffrant & Pascal Leterme Research Unit for Nutritional Physiology ‘Oskar Kellner’, Research Institute for the Biology of Farm Animals, Dummerstorf, Germany; Department of Animal and Poultry ...

Technology has been successfully applied in sports, where biomechanical analysis is one of the most important areas used to raise the performance of athletes. In this context, this paper focuses on swim velocity profile identification using Radial Basis Functions Neural Networks (RBF-NN) trained by the Gustafson-Kessel clustering combined with a novel Dynamic Self-adaptive Multiobjective Harmon...

This work proposes how to generate a set of fuzzy rules from a data set using a clustering algorithm, the GKPFCM. If we recommend a number of clusters, the GKPFCM identifies the location and the approximate shape of each cluster. These ones describe the relations among the variables of the data set, and they can be expressed as conditional rules such as "If/Then". The GKPFCM provides membership...

There is a need for more precise information on mental illness among adolescents. To date, studies of the incidence or prevalence of psychiatric morbidity in a community (Kessel, 1960; Srole et al., 1962 ; Taylor and Chave, 1964; Hare and Shaw, 1965) have failed to yield adequate information on its adolescents through not having examined the patterns of morbidity over the teenage years. The com...

In this paper, a methodology for design of fuzzy Kalman filter, using interval type-2 models, in discrete time domain, via spectral decomposition experimental data, is proposed. The adopted consists recursive parametric estimation local state space linear submodels filter tracking and forecasting the dynamics inherited to an version Observer/Kalman Filter Identification (OKID) algorithm. partit...