consistency, is vital in the context of Database Management Systems (DBMS) and the ACID (Atomicity, Consistency, Isolation, Durability) properties of transactions. The issue arises when CSPs cannot securely guarantee clients the accuracy and completeness of data in response to their queries [18]. ...
Cloud computing is the most recent smart city advancement, made possible by the increasing volume of heterogeneous data produced by apps. More storage capacity and processing power are required to process this volume of data. Data analytics is used to examine various datasets, both structured and u...
Given the advances in satellite altimetry and multibeam bathymetry,benthic terrain classification based on digital bathymetric models(DBMs)has been widely used for the mapping of benthic topographies.For instance,cobaltrich crusts(CRCs)are important mineral resources found on seamounts and guyots in the...
Instead, right-mouse on the Relational Model in the Tree/Navigator (also available for Logical Models of course.) Right click on your relational model in the diagram, not the relational model tree node or the tables node Now move your tables over, select the classifi...
A Classification of Skew Effects in Parallel Database Systems Holger Märtens Universität Leipzig, Institut für Informatik Postfach 920, D–04009 Leipzig, Germany maertens@informatik.uni-leipzig.de Abstract. Skew effects are a serious problem in parallel database systems, but the relationship ...
Intelligent use of the many diverse forms of data available on the Internet requires new tools for managing and manipulating heterogeneous forms of informa
It manages the data and performs all the functions that a typical DBMS package does. In fact, in most DSS a commercial DBMS or RDBMS package is used to perform this task. The Query Control – this is a tailored element to handle the query requirements of DSS. It may connect the data...
Collective, Hierarchical Clustering from Distributed, Heterogeneous Data This paper presents the Collective Hierarchical Clustering (CHC) algorithm for analyzing distributed, heterogeneous data. This algorithm first generates local cluster models and then combines them to generate the global cluster model of ...
Programmable interconnect Reconfigurable logic applications Evolvable hardware Very large scale integration design 3D integrated circuits Analog and mixed-signal circuits Data conversion Clock generation and timing Analog and mixed-signal circuit optimization Radio frequency and wireless circuits Wireline communicat...
Convolutional neural network (CNN) is a type of feed-forward artificial neural network. Its individual neurons are tiled in such a way that they respond to overlapping regions in the visual field [28]. CNN and its variations are widely used models for image and video recognition [29, 30]....