计算机实验教学改革初探

本文分析了计算机实验教学现状,并提出了若干计算机实验教学改革的建议,以期提高计算机实验教学的质量,全面提高学生的计算机应用能力.     

实验课协同化管理系统

根据社会就业形势,各个学校都加强了对实验课程教学的力度,实验课越来越成为教学环节中的重要内容.如何使实验课教学更规范,更生动活泼,有效降低实验课的管理成本,提高实验课的教学效果,增加学生的学习热情,这些都是本课题研究的内容.     

以实验教学深化《数据结构》理论教学

《数据结构》课程是计算机专业的一门主干课程,针对学生在学习数据结构课程中存在的一些问题进行分析,并提出解决方法,强调用理论知识指导实验,用实验强化理论,同时指出在设计实验题目时应由浅入深,便于增强学生学习的积极性。     

高校开放式实验教学的制约因素及对策研究

实行开放式实验教学是当前高校实验教学改革的必然趋势,是加强实践教育、培养学生综合创新、设计能力的有效途径。针对高校实验教学的现状,分析影响高校推广开放式实验教学的制约因素,探讨加快推进开放式实验教学改革的对策。     

计算机图形学教学实验辅助系统设计与实现

计算机图形学教学实验辅助系统是一种基于多媒体网络的新的教学辅助工具,它给传统的教学方式注入了新的活力,避免教师在制作课件上浪费时间,大大激发了学生参与教学活动的积极性,从某种程度上,极大地提高了教学效率与学习兴趣。     

Evaluation of AMSR-E soil moisture results using the in-situ data over the Little River Experimental Watershed, Georgia

An operational global soil moisture data product is currently generated from the observations of the Advanced Microwave Scanning Radiometer (AMSR-E) aboard NASA's Aqua satellite using the retrieval procedure described in Njoku and Chan [Njoku, E.G. and Chan, S.K., 2006. Vegetation and surface roughness effects on AMSR-E land observations, remote sensing environment, 100(2), 190-199]. We have generated another soil moisture dataset from the same AMSR-E observed brightness temperature data using the Land Surface Microwave Emission Model (LSMEM) adopting a different estimation method. This paper focuses on a comparison study of soil moisture estimates from the above two methods. The soil moisture data from current AMSR-E product and LSMEM are compared with the in-situ measured soil moisture datasets over the Little River Experimental Watershed (LREW), Georgia, USA for the year 2003. The comparison study was carried out separately for the AMSR-E daytime and night time overpasses. The LSMEM method performed better than the current operational AMSR-E retrieval algorithm in this study. The differences between the AMSR-E and LSMEM results are mostly due to differences in various simplifications and assumptions made for variables in the radiative transfer equations and the soil and vegetation based physical models and the accuracy of the input surface temperature datasets for the LSMEM forward model approach. This study confirms that remote sensing data have the potential to provide useful hydrologic information, but the accuracy of the geophysical parameters could vary depending on the estimation methods. It cannot be concluded from this study whether the soil moisture estimation by the LSMEM approach will perform better in other geographic, climatic or topographic conditions. Nevertheless, this study sheds light on the effects of different approaches for the estimation of geophysical parameters, which may be useful for current and future satellite missions.     

Walrasian Equilibrium: Hardness,Approximations and Tractable Instances

We study the complexity issues for Walrasian equilibrium in a special case of combinatorial auction, called single-minded auction, in which every participant is interested in only one subset of commodities. Chen et al. (J. Comput. Syst. Sci. 69(4): 675–687, 2004) showed that it is NP-hard to decide the existence of a Walrasian equilibrium for a single-minded auction and proposed a notion of approximate Walrasian equilibrium called relaxed Walrasian equilibrium. We show that every single-minded auction has a relaxed Walrasian equilibrium that satisfies at least two-thirds of the participants, proving a conjecture posed in Chen et al. (J. Comput. Syst. Sci. 69(4): 675–687, 2004). Motivated by practical considerations, we introduce another concept of approximate Walrasian equilibrium called weak Walrasian equilibrium. We show NP-completeness and hardness of approximation results for weak Walrasian equilibria. In search of positive results, we restrict our attention to the tollbooth problem (Guruswami et al. in Proceedings of the Symposium on Discrete Algorithms (SODA), pp. 1164–1173, 2005), where every participant is interested in a single path in some underlying graph. We give a polynomial time algorithm to determine the existence of a Walrasian equilibrium and compute one (if it exists), when the graph is a tree. However, the problem is still NP-hard for general graphs.     

改进的猴王遗传算法求解组合拍卖最优竞胜标

应用遗传算法求解第一价格封闭组合拍卖问题,编码及约束条件复杂,在交叉和变异的过程中容易产生大量不可行解,并且在选择和精英保留中,一些局部最优点(早熟点)对应的个体容易被大量复制,使群体多样性下降。该文就以上的问题,改进了原有遗传算法求解组合拍卖最优竞胜标的方法,并采用了猴王遗传算法的精英保留策略。实际计算证明本算法编码方式自然并且直观表达了个体和标的的关系。在交叉和变异算子中,产生不可行解的数量下降,更积极的保存了上一代进化的部分成果。而改进猴王遗传算法的精英保留策略,使算法能够以高概率跳出早熟,达到算法速度与准确的平衡。     

《ASP.NET技术及应用》课程教学与实践

结合笔者教学中的经验和体会,从教学内容、教学方法、实践教学、考核方式等几方面总结了如何更好的开展ASP.NET课程的教学,以达到提高课程教学质量的目的。     

用于油库监测的光纤Bragg光栅传感器实验研究

通过对三种光纤Bragg光栅传感器的实验研究,得出实验数据并进行分析,表明光纤光栅传感器用于油库状态参数监测是可行的。该文介绍了分布式监测技术领域的一种新型技术——光纤Bragg光栅监测网络技术,指出了其相对传统技术所具有的独特优越性。最后,提出了一种基于光纤Bragg光栅传感技术的油库监测网络。