The evaluation of mobile crowdsourcing activities and reports require a viable large volume data. These data are gathered in real-time from number paid or unpaid volunteers over period. A high quality smartphones devices is pivotal to the accuracy validity results. Therefore, there need for robust scalable database structure that can effectively manage store volumes collected various wit...

The COMET DBMS (component-based embedded real-time database management system) is an experimental database platform. COMET is intended for resourceconstrained embedded vehicle control-systems. The complexity of modern vehicle control systems is rapidly increasing [1], and so is also the amount of data that needs to be handled and maintained. Thus, a need has emerged for a structured way of hand...

A prototype video database management system, which we call BilVideo, is presented. BilVideo provides an integrated support for queries on spatio-temporal, semantic and low-level features (color, shape, and texture) on video data. BilVideo does not target a specific application, and thus, it can be used to support any application with video data. An example application, news archives search sys...

We develop a Web-based video database management system, named BilVideo, providing an integrated support for both spatio-temporal and semantic (keyword, event/activity and category-based) queries on video data. In this paper, we introduce the architecture of BilVideo and its SQL-like textual video query language that has the capability to handle a broad range of spatio-temporal queries, which m...

A parallel database management system (DBMS) called Kappa is developed in order to provide e cient database management facilities for knowledge information processing applications. The data model of Kappa is based on a nested relational model to treat complex structured data e ciently. The system is written in KL1, and works on parallel and/or distributed environments of conventional machines w...