K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for recognizing a new test, neighborhood classifier, few literatures are reported on. In this paper, we introduce neighborhood rough set model as a uniform framework to understand and implement neighborhood classifiers. T...

A number-conserving cellular automaton (NCCA) is a cellular automaton (CA) such that all states of cells are represented by integers and the total number of its configuration is conserved throughout its computing process. It can be thought as a kind of modelization of the physical conservation law of mass or energy. Although NCCAs with simple rules are studied widely, it is quite difficult to d...

This paper describes a participatory design-oriented study of an ambient assisted living system for monitoring the daily activities of elderly residents. The work presented addresses these questions 1) What daily activities the elderly participants like to be monitored, 2) With whom they would want to share this monitored data and 3) How a monitoring system for the elderly should be designed. F...

It is shown that a symmetrical vortex pair consisting of equal and opposite vortices approaching a plane wall at right angles must approach the wall monotonically in the absence of viscous effects. An approximate calculation is carried out for uniform vortices in which the vortices are assumed to be deformed into ellipses whose axis ratio is determined by the local rate of strain according to t...

The Maxmin Expected Utility decision rule suggests that the decision maker can be characterized by a utility function and a set of prior probabilities, such that the chosen act maximizes the minimal expected utility, where the minimum is taken over the priors in the set. Gilboa and Schmeidler axiomatized the maxmin decision rule in an environment where acts map states of nature into simple lott...

Data mining is the process of extracting patterns from data. A main step in this process is referred to as data classification. In this work, we investigate the use of the Cell-DEVS formalism for classifying data. The cells in a Cell-DEVS based grid are individually very simple but together they can represent complex behavior and are capable of self-organization. Three classifier models are imp...

We investigate a problem whether self-reproduction is possible in a two-dimensional \re-versible" cellular space, and give an aarmative answer. A reversible (or injective) cellular automaton (RCA) is a CA such that every connguration has at most one predecessor. In order to design an RCA we use a framework of partitioned cellular automaton (PCA). A PCA with von Neumann neighborhood is a special...

BACKGROUND There is growing evidence that neighborhood environments are related to depressive mood in the general population. Older adults may be even more vulnerable to neighborhood factors than other adults. The aim of this paper is to review empirical findings on the relationships between neighborhood characteristics and depressive mood among older adults. METHODS A search of the literatur...

We provide two different neighborhood construction techniques for creating exponentially large neighborhoods that are searchable in polynomial time using dynamic programming. We illustrate both of these approaches on very large scale neighborhood search techniques for the traveling salesman problem. Our approaches unify previously known results and offer schemas for generating additional expone...

PURPOSE Test for a causal relationship between neighborhood design and physical activity within the neighborhood by controlling for self-selection. DESIGN Cross-sectional and quasi-longitudinal analyses of residents of selected neighborhoods. SETTING Eight Northern California neighborhoods. SUBJECTS Random sample of 1682 adults stratified by movers (moved within 1 year) and nonmovers (mov...