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41.
浅谈高层建筑火灾扑救 总被引:3,自引:0,他引:3
杨冰峰 《消防技术与产品信息》2002,(11):28-31
前言伴随着我国经济建设的迅速发展 ,高层建筑已在各大城市大量涌现。大量的高层建筑 ,既为城市的经济发展增添了繁荣的氛围 ,同时又给消防安全提出了新的课题。近年来 ,高层建筑所引发的火灾已成为全世界关注的一个难题。据统计 ,1999年全国共发生高层建筑火灾 112 2起 ,而 2 0 0 0年则猛增到 184 32起。因此 ,加强对高层建筑火灾扑救的研究 ,对缔造良好的消防环境 ,确保经济和社会稳定至关重要。本文仅是作者的一些浅见 ,希望能有可取之处与大家分享。18世纪末至 19世纪 ,欧洲和美国的的工业革命带来了生产力的发展与经济的繁荣。这个时期… 相似文献
42.
本文较详细介绍了大化通航建筑的研究过程并针对大化水电站的现状,论证分析了大化水电站升船机改型为船闸的可能性,技术上的优越性和经济上的合理性,是较好的合理化建议文章。 相似文献
43.
Jagath C Rajapakse Choong Leong Tan Xuebin Zheng Susanta Mukhopadhyay Kanyan Yang 《IEEE engineering in medicine and biology magazine》2006,25(2):102-111
Covariance-based methods of exploration of functional connectivity of the brain from functional magnetic resonance imaging (fMRI) experiments, such as principal component analysis (PCA) and structural equation modeling (SEM), require a priori knowledge such as an anatomical model to infer functional connectivity. In this research, a hybrid method, combining independent component analysis (ICA) and SEM, which is capable of deriving functional connectivity in an exploratory manner without the need of a prior model is introduced. The spatial ICA (SICA) derives independent neural systems or sources involved in task-related brain activation, while an automated method based on the SEM finds the structure of the connectivity among the elements in independent neural systems. Unlike second-order approaches used in earlier studies, the task-related neural systems derived from the ICA provide brain connectivity in the complete statistical sense. The use and efficacy of this approach is illustrated on two fMRI datasets obtained from a visual task and a language reading task. 相似文献
44.
广水市位于湖北省东北部,地处大别山与桐柏山交汇处南麓,地跨长江、淮河两大流域,国土面积2647km^2,是湖北省38个山区县市之一。 相似文献
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Hart D. Novosel D. Calero F. Udren E. LiFeng Yang 《Power Delivery, IEEE Transactions on》1996,11(3):1274-1284
This paper describes the testing of a new power system numerical relaying concept. The new technique is applied to distance relaying to offer improved reliability and security of the relay, and improve the speed of relay operation. To validate the algorithm's performance, the scheme was analyzed under a variety of test conditions and compared with conventional relay concepts. This paper presents the results of the testing and shows that the new relaying scheme operated with a high level of security and dependability for all of the test cases. The tests show improvements that the new scheme can offer in comparison to the conventional schemes 相似文献
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The major steps of sewerage rehabilitation include inspection of sewerage, assessment of structural conditions, computation of structural condition grades, and determination of rehabilitation methods and materials. Conventionally, sewerage rehabilitation planning relies on experts with professional background that is tedious and time-consuming. This paper proposes an automation model of planning optimal sewerage rehabilitation strategies for the sewer system by integrating image process, clustering technology, optimization, and visualization display. Firstly, image processing techniques, such as wavelet transformation and co-occurrence features extraction, were employed to extract various characteristics of structural failures from CCTV inspection images. Secondly, a classification neural network was established to automatically interpret the structural conditions by comparing the extracted features with the typical failures in a databank. Then, to achieve optimal rehabilitation efficiency, a genetic algorithm was used to determine appropriate rehabilitation methods and substitution materials for the pipe sections with a risk of mal-function and even collapse. Finally, the result from the automation model can be visualized in a geographic information system in which essential information of the sewer system and sewerage rehabilitation plans are graphically displayed. For demonstration, the automation model of optimal sewerage rehabilitation planning was applied to a sewer system in east Taichung, Chinese Taiwan. 相似文献
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Design of two-level system stabilizers is considered using an optimal reduced-order model whose state variables are torque angles and speeds. The reduced-order model retains their physical meaning and is used to design a two-level linear feedback controller that takes into account the realities and constraints of the electrical power systems. The two-level control strategy is used, and a global control signal is generated from the output variables to minimize the effect of interaction. The effectiveness of this controller is evaluated, and an example, the multimachine system, is given to illustrate the advantages of the proposed method. The responses of the system with the two-level scheme and optimal reduced order scheme are included for comparative analyses 相似文献