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This paper focus on the technique of learning the knowledge on the design quality and manufacture quality. The characteristic of quality control are illustrated, such as status, process, structure etc, and a lot of feature of the quality control information which consist of geometrical structure model, manufacture technique, detect, fault diagnose and data analysis were presented. Then an approach...
The Core Scientific MetaData model (CSMD) is used by large scientific facilities to catalogue scientific data. The current version provides support to experimental scientists to access their raw data, facility managers for accounting for facility usage and other scientists who wish to re-use raw experimental data. Much of the value in scientific data is provided not only in the raw data but through...
Metadata is the command center in the process of data warehousing,and which is very helpful to data ETL (Extraction, Transformation and Loading), data storage management,data analysis and data mining.CWM (Common Warehouse Meta-model) is an open industry metadata standard,and which is widely used currently,public meta-models and its rules defined in CWM can properly support data transformation and...
The potential impact of model-driven engineering is considerable, and far extends beyond the initial development and delivery of a system. The automatic generation of systems from abstract models also facilitates evolution: the definitive description of structure and behaviour remains accessible, and changes are more easily planned and accommodated. Within the domain of information systems, this is...
Teachers play an important role in the education of universities. The quality of teachers stands for the level and quality of education in a certain degree. Most of current statistics and analyzing systems can't meet the demand of universities. In this paper, a university teacher information analyzing system based on MDA is proposed. Compared with the traditional software development, we firstly define...
Cyberworlds in the era of 'cloud' computing are being created on the Web where data and its dependencies are constantly changing and evolving. The problem of combinatorial explosion in system development inevitably arises when dealing with cyberworlds. To solve the problem, we have developed a data processing system called the Cellular Data System (CDS), based on the Incrementally Modular Abstraction...
Simulation analysis data proliferate in the process of product collaborative simulation, therefore, capability to access and manage the simulation analysis data is critical for the collaborative simulation. In order to achieving the integrality, coherence and traceability of simulation data, this paper proposed a management model of multi-dimensional simulation data of complicated product, which describes...
We demonstrate the application of a Model-Driven Software Development (MDSD) methodology using the example of an analysis framework designed for a data logging device in the field of vehicle testing. This mobile device is capable of recording the data traffic of automotive-specific bus systems like Controller Area Network (CAN), Local Interconnect Network (LIN), FlexRay and Media Orientied Systems...
Poor data in information systems impede the quality of decision-making in many modern organizations. Manual business process activities and application services are never executed flawlessly which results in steadily deteriorating data accuracy, the further away from the source the data gets, the poorer its accuracy becomes. This paper proposes an architecture analysis method based on Bayesian Networks...
Large-scale information systems must be populated with large-scale live data to ensure the testing & simulation effectiveness. The paper presents ISDGen, an integrated tool that supports automated simulation data generation for object-oriented software systems. It uses initiation analyzer to build statistical properties into software analysis/design models, which are then transformed into program...
Data warehouses integrate several operational sources to provide a multidimensional analysis of data, thus improving the decision making process. Therefore, an in-depth analysis of these data sources is crucial for data warehouse development. Traditionally, this analysis has been based on a set of informal guidelines or heuristics to support the manually discovery of multidimensional elements on a...
In this paper, we describe the Collaborative Panel Administrator, a collaboration framework designed to manage the lifecycle of virtual teams of domain experts working in collaborative gaming and modeling. A unique feature of the CPA is the way it is guided by sound experimental research design so that information collected from panelists can be vetted, and knowledge built from this information can...
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