The basis of many systems that integrate data from multiple sources is a set of correspondences between source schemata and a target schema. Correspondences express a relationship between sets of source attributes, possibly from multiple sources, and a set of target attributes. Clio is an integration tool that assists users in de ning value correspondences between attributes [1]. In real life s...

Two classifiers implemented as Data Mining Providers are considered. These providers runs as a stand-alone servers or aggregated with Microsoft® SQL Server. One of these classifiers is the Microsoft® Decision Trees algorithm. The other is the Simple Naive Bayes incremental classifier, that supports continuous input attributes, multiple discrete predictable attributes and incremental updating of...

The formation of multi-species feeding flocks (MSFFs) through visual recruitment is considered an important strategy for obtaining food in seabirds and its functionality has been ascribed to enhanced foraging efficiency. Its use has been demonstrated in much of the world's oceans and includes numerous species. However, there is scant information on the temporal stability of the composition and ...

Concerning the population growth and urban development, significant growth in the rate of personal car usage has caused more transportation and thus growth in occupying the street areas for parking vehicles. This has caused much transporting problems and traffic. Hence concerning the parking issue is crucial in traffic and municipal management.The important issue is the suitable place for the p...

Multidimensional databases have been playing a significant role in the database field. However, some cases may need a more flexible model than the rigid structure of a data cube where all cells in each dimension resolultion combination must be filled. Generally, a data cube may be viewed as a multiple partition over a population. We propose a two-level formalism for modeling multiple partitions...

Continuous-media applications require more efficient and flexible support from real-time threads than traditional real-time systems. It includes functionalities such as the dynamic management of thread attributes and the support of multiple thread models. In this paper, we will describe the design and implementation of user-level real-time threads on the RT-Mach micro kernel. Since they are imp...

Recognition of emotional states from other’s actions is one of key capability for smooth social interaction. The present study provides a computational-theory-level analysis on which feature may take a crucial role in recognition of emotional attributes in human actions represented as point-light display. Lead by the previous theoretical works and empirical findings, the velocity and accelerati...

We propose a human action detection framework called “mixture of heterogeneous attribute analyzer”. This framework integrates heterogeneous attributes learned from static and dynamic, local and global video features, to boost the action detection performance. To this end, we first detect and track multiple people by SVM-HOG detector and tracklet generation. Multiple short human tracklets are th...

In previous work we examined a process for cleaning data from a single source. We proposed a framework with three attribute categories— critical, logical, irrelevant— that enables users to interpret the effect of dirty data on operational decisions. To extend the framework to large systems, we suggest adding a fourth category “used” as a set of tags. The metadata on the tags describes the usage...