The Tornado Model: Uncertainty Model for Continuously Changing Data

Abstract

Abstract.To support emerging database applications that deal with continuously changing (or moving) data objects (CCDO), such as vehicles, RFIDs, and multi-stimuli sensors, one requires an efficient data management system that can store, update, and retrieve large sets of CCDOs. Although actual CCDOs can continuously change over time, computer systems cannot deal with continuously occurring infinitesimal changes. Thus, in the data management system, each object's spatiotemporal values are associated with a certain degree of uncertainty at virtually every point in time, and the queries are mostly processed over estimates characterizing the uncertainty. The smaller the uncertainty is, the better the query performance becomes. The paper proposes a sophisticated asymmetric uncertainty model, called the Tornado Model, which can effectively represent, process, and minimize the data uncertainty for a wide variety of CCDO database applications.

A new knowledge management model for the conservation of historical sites

“…Therefore, for better management, the tacit data which is mainly tourist's attributes and behavior will be gathered in a spatiotemporal database and used in the Tornado Uncertainty Model (Yu et al 2007).…”

“…According to Yu et al (2007), the Tornado Model can be used when we have data that is continuously changing and we need a data management system that can store data, update it along the way and retrieve the large sets of this continuous changing or moving data objects (CCDOs). For each of these CCDO states will produce a tornado-shape uncertainty region in the space-time, therefore, they call it the Tornado Uncertainty Model (TUM).…”

Modeling Uncertainty in Moving Objects Databases

“…This uncertainty model defines both past and future spatiotemporal uncertainties of any dimensionality. Recently in [29], a non-linear extension of the funnel model named Tornado was presented in [28]. The main idea of the Tornado model is that many moving objects move with momentum.…”

“…The running time of their algorithm is O(nlogn + n/ 3 ). The authors in [1] presented MBR approximations for three uncertainty region models, namely, the Cylinder model [24], the Cone model proposed in [8] and the T ornado model presented in [29]. In [2], the authors proposed the Tilted Minimum Bounding Box approximation for the Truncated Tornado model.…”

“…vehicles) move with a certain acceleration that is bounded by a maximum value. This provides the idea of a 2 nd degree uncertainty model called the Tornado model [29].…”