Schema-Independent Scientific Data Cataloging Framework

Modern scientific experiments generate vast volumes of data which are hard to keep track of. Consequently, scientists find it difficult to reuse and share these data sets. We address this problem by developing a schema-independent data cataloging framework for efficient management of scientific data. The proposed solution consists of an agent which automatically identifies new data products and extract metadata from them, as well as a server which indexes the metadata using a NoSQL database and provides a REST API for querying, sharing, and reusing the data sets. The novelty of our solution lies in the pluggable metadata extraction logic, extensible data product generation monitors, use of a NoSQL database, and the ability to dynamically add new metadata fields. The use of Apache Solr as the backend database enables the proposed solution to index and search data products much fatser than a solution based on relational databases. For example, our Apache Solr based implementation can resolve full text, sub-string, prefix, and suffix queries 91% - 99% faster than a MySQL-based implementation.IEEE IEEE Sri Lanka Section Robotics and Automation Section Chapter, IEEE Sri Lanka Sectio

Schema-independent scientific data cataloging framework

Modern scientific experiments generate vast volumes of data which are hard to keep track of. Consequently, scientists find it difficult to reuse and share these data sets. We address this problem by developing a schema-independent data cataloging framework for efficient management of scientific data. The proposed solution consists of an agent which automatically identifies new data products and extract metadata from them, as well as a server which indexes the metadata using a NoSQL database and provides a REST API for querying, sharing, and reusing the data sets. The novelty of our solution lies in the pluggable metadata extraction logic, extensible data product generation monitors, use of a NoSQL database, and the ability to dynamically add new metadata fields. The use of Apache Solr as the backend database enables the proposed solution to index and search data products much fatser than a solution based on relational databases. For example, our Apache Solr based implementation can resolve full text, sub-string, prefix, and suffix queries 91% - 99% faster than a MySQL-based implementation

Validation of compact models of microcantilever actuators for RF-MEMS application

Electromechanical behavior of microcantilever specimens for in-plane and out-of-plane bending tests, currently designed by industry for Radio-Frequency application, are here analyzed. Main features of these two layouts are discussed. In particular, a comprehensive experimental validation of 2D and 3D numerical models implemented to predict the coupled electromechanical behavior of these microsystems is performed. Effectiveness of plane models to predict pull-in, in presence of geometric non-linearity, due to large tip displacement and initial curvature of microbeam, is investigated. Three dimensional models are then used to investigate the local effects of the electric field and the limits of the two dimensional approach. In addition, this paper investigates the effectiveness of 2D models to be used as compact numerical tools in substitution of some known Model Order Reduction techniques, which unfortunately are unsuitable to predict simultaneously the effects of both the electromechanical and geometric non-linearitie