the large number of applications manages time varying data. existing databasetechnology seldom supports temporal database, tdb, according to time aspects.these intrinsic temporal database applications rely on such database which storesand retrieves time referenced data. moreover, applications need to be managed oncommon data items access simultaneously and to be precluded from inconsistencyas s...

This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...

precipitation plays an important role in the global energy and water cycle. special interest in long-term precipitation analyses arises from the need to assess climate change and its impacts on all spatial scales. based on this demand national and international organization initiated and support many research and monitoring programs. there are a lot of centers developing gridded precipitation d...

Effective querying and managing of temporal databases represent an unanswered challenge to the modern research community. In this paper, we introduce a temporal preprocessor that can be used to aid in creation of temporal applications and for testing various methods and approaches in temporal databases implementations. We outline our proposal, current results and directions for further research...

Temporal and spatio-temporal aggregations are important but costly operations for applications that maintain time-evolving data (data warehouses, temporal databases, etc.). In this paper we examine the problem of computing such aggregates over data streams. The aggregates are maintained using multiple levels of temporal granularities: older data is aggregated using coarser granularities while m...

More and more organisations everyday are now storing achieves of data to help them make important business decisions. The Commercial Database Management Systems (DBMS) that are available in the I.T. market do not provide any significant and useful methods of storing and manipulate such data. Whilst there has been research into the subject of Temporal Databases, there is a lack of commercial too...