用人工智能原理实现大学课程表编排的探索

利用人工智能的原理，对解决大学课程表编排的有效方法进行了探索，对利用领域知识提高编排速度及减少死锁次数提出了切实可行的方法。     

Rough set-based feature selection method

A new feature selection method is proposed based on the discern matrix in rough set in this paper. The main idea of this method is that the most effective feature, if used for classification, can distinguish the most number of samples belonging to different classes. Experiments are performed using this method to select relevant features for artificial datasets and real-world datasets. Results show that the selection method proposed can correctly select all the relevant features of artificial datasets and drastically reduce the number of features at the same time. In addition, when this method is used for the selection of classification features of real-world underwater targets,the number of classification features after selection drops to 20% of the original feature set, and the classification accuracy increases about 6% using dataset after feature selection.     

Improving reflectance estimation by BRDF-consistent region clustering

Previous studies in reflectance estimation generally require prior segmentation of an image into regions of uniform reflectance. Due to the measurement noise and limited sampling of the BRDF (bi-directional reflectance function) directions, such estimated results of reflectance are not accurate. In this paper, we propose a novel method for reducing uncertainty in reflectance estimates by merging image regions which have consistent reflectance observations. Each image region acts as a reflectance subspace, so merging of the image regions can result in subspace reduction. We propose a Bayesian segmentation framework to decrease the reflectance uncertainty by using novel merging criteria. Finally, a maximum likelihood reflectance estimation is made for each resulting image region. Experimental results verify the feasibility and superiority of this reflectance-oriented region merging method.     

An Efficient Secure Real-Time Concurrency Control Protocol

0 IntroductionThe real-ti me database system(RTDBS) is usually ap-pliedto the safety-critical applications .Inthese applica-tions,besides the ti ming constraints ,it is essential to preventunlawful information flows between different transactions .The traditional real-ti me concurrency protocols such as two-phase locking high priority (2PL-HP)[1], priority ceiling(PC)[2], OPT-WAIT[3], OPT-SACRIFICE[4], etc ., con-centrate on how to mini mize the missing deadlines ratio oftransactio…     

聚酰胺对水溶液中2，4-二硝基苯酚的吸附行为

研究了聚酰胺树脂吸附水溶液中2，4-二硝基苯酚的性能、条件及其影响因素.结果表明：聚酰胺树脂对2，4-二硝基苯酚具有较强的吸附能力，pH值是影响吸附的主要因素；吸附初段具有较快的动力学速度，中段速率与浓度符合二级反应动力学；吸附过程符合Flundlich 吸附等温式；用1% 氨水溶液可快速完全解吸；吸附过程属于一种基于氢键和范德华力的物理吸附范畴.     

有界洞型区域内半线性椭圆方程组的正解

利用不动点定理 ,证明了几种半线性椭圆型方程组在洞型区域内正解的存在性与不存在性以及唯一性 ,并给出两个应用实例     

966F装载机变速箱故障浅析

变速箱故障是966F装载机多发故障，文章对造成故障的因素进行了分析，并提出解决办法。     

植物根系提高土壤抗侵蚀能力的初步研究

以长江中上游几种常见的水土保持林为对象，就植物根系对土壤结构的影响进行了初步研究，结果表明：林木根系通过径级≤1mm须根的作用，可以提高土壤的抗侵蚀能力，其原因在于死根提供有机质、活根提供分泌物作为土粒团聚的胶结剂，配合须根的穿插和缠结，促进了土粒的团聚，从而增强了土壤抗分散、悬浮的能力。     

水利水电施工中应用PERT的完工概率问题

分析了施工进度计划中当出现多条（期望）关键路线及次关键路线和关键路线相接近时应用PERT存在的一些问题，指出了在计算完工概率时应用PERT的局限性；将多条（期望）关键路线及次关键路线和关键路线相接近的情况分为相关和非相关两种情形分别讨论，提出相应的完工概率的计算方法。