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101.
J2EE是一种利用Java 2平台来简化多级企业解决方案的开发、部署和管理的体系结构.对实际应用的J2EE分层结构进行了详细分析,给出了一种J2EE架构下的多层应用模式,并详细介绍了该模式下的具体开发方案,重点论述了中间件的设计对于系统开发的意义. 相似文献
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Reduction of greenhouse gas emission and fuel consumption as one of the main goals of automotive industry leading to the development hybrid vehicles. The objective of this paper is to investigate the energy management system and control strategies effect on fuel consumption, air pollution and performance of hybrid vehicles in various driving cycles. In order to simulate the hybrid vehicle, the combined feedback–feedforward architecture of the power-split hybrid electric vehicle based on Toyota Prius configuration is modeled, together with necessary dynamic features of subsystem or components in ADVISOR. Multi input fuzzy logic controller developed for energy management controller to improve the fuel economy of a power-split hybrid electric vehicle with contrast to conventional Toyota Prius Hybrid rule-based controller. Then, effects of battery’s initial state of charge, driving cycles and road grade investigated on hybrid vehicle performance to evaluate fuel consumption and pollution emissions. The simulation results represent the effectiveness and applicability of the proposed control strategy. Also, results indicate that proposed controller is reduced fuel consumption in real and modal driving cycles about 21% and 6% respectively. 相似文献
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Introduction Overrecentyears,withtheemergenceofdis-tributedapplicationsovertheInternet,anewmod-elofcommunicationandcomputation,calledpeer-to-peer(P2P)computing,hasgainedgreatpopu-larity[1-3].Contrarytothetraditionalclient-server model,P2Pcomputingeliminatesthenotionof“server”,andallpeersinP2Psystemcanactas clientsandserversatthesametime.Therefore,thesinglepointoffailureandthebottleneckof“server”encounteredinthetraditionalclient-serv-ermodelcanbeeliminated,andtheperformance andreliabilit… 相似文献
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A driver is one of the main components in a transportation system that influences the effectiveness of any active demand management (ADM) strategies. As such, the understanding on driver behavior and their travel choice is crucial to ensure the successful implementation of ADM strategies in alleviating traffic congestion, especially in city centres. This study aims to investigate the impact of traffic information dissemination via traffic images on driver travel choice and decision. A relationship of driver travel choice with respect to their perceived congestion level is developed by an integrated framework of genetic algorithm–fuzzy logic, being a new attempt in driver behavior modeling. Results show that drivers consider changing their travel choice when the perceived congestion level is medium, in which changing departure time and diverting to alternative roads are two popular choices. If traffic congestion escalates further, drivers are likely to cancel their trip. Shifting to public transport system is the least likely choice for drivers in an auto-dependent city. These findings are important and useful to engineers as they are required to fully understand driver (user) sensitivity to traffic conditions so that relevant active travel demand management strategies could be implemented successfully. In addition, engineers could use the relationships established in this study to predict drivers’ response under various traffic conditions when carrying out modeling and impact studies. 相似文献
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在机车的显示与诊断系统中,使用高分辨率平板显示器已成为一种趋势。本文详细介绍了等离子体显示屏及其驱动系统的工作原理。 相似文献
109.
LIU Xin 《大连铁道学院学报》2007,(4)
在扰动模糊逻辑命题及其算子的基础上,定义了扰动模糊逻辑算子组的概念,讨论了扰动模糊逻辑算子组的性质.从而使经典模糊逻辑的概念及性质得到进一步的推广,同时也揭示了在这种由一维到二维的推广中存在的问题.最后,从代数观点研究了扰动模糊逻辑算子组与经典模糊逻辑算子组之间的同态关系. 相似文献
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