针对当前喷水推进装置存在的问题，主要介绍了一种采用容积式液压泵进行喷射推进的新型喷水推进器的基本原理和结构特点，提出了需要解决的关键技术，并对这种新型喷水推进器的应用作了预测和探索。

The shapes and geometrical parameters of nozzles are key factors for fluidics. The relationship among the reaction thrust, flow rate pressure, diameter do and length L of a cylinder nozzle is analyzed theoretically. The simulation of the flow field characteristics was conducted via the FLUENT computational fuid dynamics package. Effects of the inlet conditions and the nozzle dimensions on the reaction thrust of a water jet were addressed particularly. The reaction thrust experiments were performed on a custom-designed test apparatus. The experimental results reveal that a) the nozzle diameter and the inlet conditions exert great influence on the water jet reaction thrust; and b) for L_<4d0, where the nozzle is treated as a thin plate-orifice, the reaction thrust is independent of nozzle length; for L>4d0, where the nozzle is treated as a long orifice, the reaction thrust can reach maximum under the condition of a certain flow rate. These findings lay a theoretical foundation for the design of nozzles and have significant value, especially for the future development of high-pressure water-jet propulsion technology.

An inexact two-stage chance-constrained linear programming (ITCLP) method is developed for planning waste management systems. The model is derived by incorporating the techniques of twostage and chance-constrained programming within a general interval-optimization framework. It can tackle uncertainties presented as both probability distributions and discrete intervals. Moreover, it can be used for analyzing various policy scenarios that are associated with different levels of economic penalties when the promised policy targets are violated. It can also help examine the reliability of satisfying (or risk of violating) system constraints under uncertainty. The developed method is applied to a case of long-term waste management planning. Interval solutions associated different risk levels of constraint violation are obtained. They can be used for generating decision alternatives and thus help waste managers to identify desired policies under various environmental, economic, and systemreliability constraints.

针对目前在图形用户界面（graphic user interface, GUI）自动化测试方法中存在的手工依赖性和测试缺乏准确性等问题，提出了一种改进的GUI自动化测试算法。该算法包括两种基于事件流图的GUI自动化测试用例生成策略：基于蚁群算法的日常冒烟测试用例生成策略和基于宽度优先搜索生成树的深度回归测试用例生成策略。将这两种策略应用于没有考虑分层的GUI 事件流图模型中，得到标准GUI 的测试用例，然后再进行GUI测试。结合Microsoft UI Automation 框架和Visual Studio 2005 开发平台，对该算法进行了实验研究。研究表明：该算法可以提高GUI测试的自动化程度和准确性。

A more highly automated graphic user interface (GUI) test model, which is based on the event-flow graph, is proposed. In the model, an automation tool is first used to carry out reverse engineering for a GUI test sample so as to obtain the event-flow graph. Then an improved ant colony optimization algorithm and a goal-directed searching approach are adopted to create GUI test sample cases. Moreover, a corresponding prototype system based on Microsoft UI automation framework is developed.