In this paper, we propose a novel scheme for the design of grouping of radio-frequency identification (RFID) tags, based on the Chinese remainder theorem (CRT). Grouping allows verifying the integrity of a collection of objects without the requirement for accessing external systems, and can be extended to identify missing objects. Motivated by the redundancy property of the Chinese remainder re...

The visibility of a target can be strongly suppressed by metacontrast masking. Still, some features of the target can be perceived within the mask. Usually, these rare cases of feature mis-localizations are assumed to reflect errors of the visual system. To the contrary, I will show that feature "mis-localizations" in metacontrast masking follow rules of motion grouping and, hence, should be vi...

In this paper we propose a method for grouping and summarizing large sets of association rules according to the items contained in each rule. We use hierarchical clustering to partition the initial rule set into thematically coherent subsets. This enables the summarization of the rule set by adequately choosing a representative rule for each subset, and helps in the interactive exploration of t...

Many games and simulations utilize modularized low-level code to move characters about in an environment. This requires extensive technical skill to translate basic high-level actions, as well as extensive time to write code, which includes very detailed instructions on what and when actions will occur across all agents. Other options exist such as mocap files; however, most are not highly dyna...

Every grouping of people develops its own culture with formal and informal rules, norms of behavior, ways of operating and sanctions against those who fail to understand or conform. An individual cannot easily replace a familiar culture or values with those of a new community—he or she is more likely to selectively adapt or modify features of a new group that seem attractive or useful.—Gilly Sa...

The development of software systems is intensive person-oriented process. Therefore it is essential to use previous experience and knowledge. The extension of reuse through analogy is analysed in this paper. The proposed grouping of analogical methods, rules, etc., relies on their adaptability to application software development. The emphasis here is on analogue as a criterion to safeguard the ...

Data mining term is mainly used for the specific set of six activities namely Classification, Estimation, Prediction, Affinity grouping or Association rules, Clustering, Description and Visualization. The first three tasks classification, estimation and prediction are all examples of directed data mining or supervised learning. Decision Tree (DT) is one of the most popular choices for learning ...

The missions for the police and fire fighters are to protect for public safety and to fight and prevent from fires, respectively. In this dynamic environment, however, there are many potential dangers and uncertain factors that can’t be predicted. In order to improve the total performance, some rules extracted from criminal and fire-fighting records are needed. The purpose of this paper is to m...

The introduction of data mining methods in the banking area due to the nature and sensitivity of bank data can already be considered of great assistance to banks as to prediction, forecasting and decision support. Concerning decision making, it is very important a bank to have the knowledge of (a) customer profitability and customers’ grouping according to this parameter and (b) association rul...

This study analyzed the effects of two heterogeneous cooperative groupings’ blended learning on programming design learning achievements and attitudes. To achieve the above objective, this study used a quasi-experimental design to conduct the experiment. Additionally, the research instruments used in this study included: Thinking Styles Inventory, cognitive style scale, programming design learn...