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In order to establish and analyze the categories and application status of energy-saving products of building envelope in northern China, especially in severe cold and cold climate zones, the categories and statistic data of building envelope in northern China is gained in the classes of wall, door and window, through the way of referencing from the relevant literatures and data, investigating and visiting companies. The comparison and analysis of the date shows that the building envelop in northern China can basically meet the design requirement of heat preservation and energy-saving in severe cold and cold climate zones. Traditional products of building envelop are suitable for the multiple requirements and energy-saving need of modern architecture. Further research and development of new materials and technologies is needed but the restrain and lack of standardization in existing market should also be taken into consideration. The categories and statistic data in this paper play a reference role to other scholars and designers for researching the building envelop in severe cold and cold climate zones.

In this paper, an application of the hybrid intelligent control algorithm to semi-active control of the magnetorheological (MR) damper is presented for engineering structures. The control signal is optimized directly by the µGA approach to obtain the numerical relation between the control signal and the system output. This relation is then stored in the weight value of a trained artificial neural network, which can be available for another structure subjected to other seismic inputs. The results of a numerical example indicate that the semi-active control of the MR damper based on the hybrid algorithm can efficiently reduce the structural responses induced by an earthquake. Copyright © 2007 John Wiley & Sons, Ltd.

Intelligentized distributed system is advanced mode of network operation in agile manufacturing system. In intelligent agile manufacturing, Architecture of knowledge base directly influences intelligent level of manufacture. Application knowledge and reorganization are two sides of implement intelligent application. When application knowledge don't meet needs of application, starting reorganization knowledge base architecture will get new application knowledge. This is second level knowledge base(shallow knowledge and depth knowledge) architecture. Research of knowledge base in agile manufacturing will provide implemented knowledge architecture for intelligent agile manufacturing system and enable whole system high knowledge.