This paper describes a graphicaluser-interface for database-oriented knowledge discovery systems, DBLEARN, which has been developed for extracting knowledge rules from relational databases. The interface, designed us...
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This paper describes a graphicaluser-interface for database-oriented knowledge discovery systems, DBLEARN, which has been developed for extracting knowledge rules from relational databases. The interface, designed using a query-by-example approach, provides a graphical means of specifying knowledge-discovery tasks. The interface supplies a graphical browsing facility to help users to perceive the nature of the target database structure. In order to guide users' task specification, a cooperative, menu-based guidance facility has been integrated into the interface. The interface also supplies a graphical interactive adjusting facility for helping users to refine the task specification to improve the quality of learned knowledge rules. Copyright (C) 1996 Elsevier Science Ltd
This paper is concerned with the design and implementation of an integrated software package for the optimisation of general multipurpose batch and semi-continuous plants. In particular, we describe a sophisticated gr...
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This paper is concerned with the design and implementation of an integrated software package for the optimisation of general multipurpose batch and semi-continuous plants. In particular, we describe a sophisticated graphicaluser interface that supports the rapid specification of scheduling, planning, design and retrofit problems in an error-free manner. These problems are posed graphically and solved under a unified framework based on the state-task network process representation and a general characterisation of all production resources, such as processing and storage equipment, utilities and manpower. This representation facilitates the specification of processing recipes of arbitrary complexity, involving material recyles, shared intermediates, batch splitting and mixing and multiple routes to the same end-product. The architecture employed shields the users from the complex mathematical. models and solution procedures that are employed, freeing lip their time for problem specification and results analysis.
In 2013, the Qt Project announced a move away from Google's V8 JavaScript engine to their own internal V4 JavaScript engine. Despite this, even today Qt still contains a V8 interpretation layer and V8 code in othe...
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ISBN:
(纸本)9781728125305
In 2013, the Qt Project announced a move away from Google's V8 JavaScript engine to their own internal V4 JavaScript engine. Despite this, even today Qt still contains a V8 interpretation layer and V8 code in other parts of Qt. This paper aims to investigate why the decision to change interpreters was made and also to evaluate the aspects of Qt interpreted by V4 and what is interpreted by V8. With this defined, differences in secure coding techniques between these systems is examined and highlighted and why these techniques are important in the Qt environment.
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