梯形图与指令表互换算法的研究

梯形图和指令表之间互换算法的研究是PLC发展的一项关键技术,目前采用的互换算法是通过AOV图实现二者之间的转换,但是该算法效率不高.研究提出了基于森林和二叉树实现梯形图与指令表相互转换的一种新算法,该转换算法将梯形图映射成森林,然后由森林建立对应的二叉树来表示其逻辑关系,通过遍历二叉树来实现PLC梯形图与指令表的互换.该算法简单快速,其正确性和可行性在PLC的编程软件平台上得到了验证.     

Characteristics of oxygen consumption of coal at programmed temperatures

Oxygen consumption is an important index of coal oxidation.In order to explore the coal-oxygen reaction,we developed an experimental system of coal spontaneous combustion and tested oxygen consumption of differently ranked coals at programmed temperatures.The size of coal samples ranged from 0.18~0.42 mm and the system heat-rate was 0.8℃/min.The results show that,for high ranked coals,oxygen consumption rises with coal temperature as a piecewise non-linear process.The critical coal temperature is about 50%.Below this temperature,oxygen consumption decreases with rising coal temperatures and reached a minimum at 50℃,approximately.Subsequently,it begins to increase and the rate of growth clearly increased with temperature.For low ranked coals,this characteristic is inconspicuous or even non-existent.The difference in oxygen consumption at the same temperatures varies for differently ranked coals.The results show the difference in oxygen consumption of the coals tested in our study reached 78.6% at 100 ℃.Based on the theory of coal-oxygen reaction,these phenomena were analyzed from the point of view of physical and chemical characteristics,as well as the appearance of the coal-oxygen complex.From theoretical analyses and our experiments,we conclude that the oxygen consumption at programmed temperatures reflects the oxidation ability of coals perfectly.     

Equilibrium and kinetics of adsorption of Ca（ II ） ions onto KCTS and HKCTS

The adsorption of Ca(Ⅱ) ions from aqueous solution by chitosan α-ketoglutaric acid(KCTS) and hydroxamated chitosan α-ketoglutaric acid(HKCTS) was studied in a batch adsorption system.The Langmuir and Freundlich adsorption models were applied to describing the equilibrium isotherms,and isotherm constants were determined.The kinetics of the adsorption with respect to the initial Ca(Ⅱ) ions concentration,temperature and pH was investigated.The pseudo-first-order and second-order kinetic models were used to des...     

镧对WO3/ZrO2固体超强酸酸强度和结构的影响

通过共沉淀法制备了合适酸强度,比表面积为175.284 3 m2.g-1,最可几孔径在5.99 nm,负载镧的WO3/ZrO2固体超强酸催化剂。用Hammett指示剂法、XRD、N2等温吸附/脱附、DTA等方法考察了负载稀土镧后对催化剂的酸强度、比表面积、孔结构和热稳定性的影响。结果发现：La能均匀掺入WO3/ZrO2固体超强酸中,且适当加入稀土元素镧不但可以提高其酸强度,而且可以稳定结构、增加比表面积。     

吉林省廉租住房管理研究

从吉林省廉租住房制度存在的问题入手,针对廉租住房制度存在的问题提出廉租住房建设的对策设计方法。希望通过对吉林省廉租住房研究,能够对其他老工业基地的廉租住房建设提供有益的借鉴作用。     

卷取温度对X80管线钢析出行为与性能的影响

观察了不同卷取温度下X80管线钢中析出物的情况,并结合其组织性能对比可知：在实验情况下,480℃卷取时,有大量细小弥散的Nb、V的碳氮化物析出物,起到了较好的析出强化作用.     

Multi-label dimensionality reduction based on semi-supervised discriminant analysis

Multi-label data with high dimensionality often occurs, which will produce large time and energy overheads when directly used in classification tasks. To solve this problem, a novel algorithm called multi-label dimensionality reduction via semi-supervised discriminant analysis (MSDA) was proposed. It was expected to derive an objective discriminant function as smooth as possible on the data manifold by multi-label learning and semi-supervised learning. By virtue of the latent imformation, which was provided by the graph weighted matrix of sample attributes and the similarity correlation matrix of partial sample labels, MSDA readily made the separability between different classes achieve maximization and estimated the intrinsic geometric structure in the lower manifold space by employing unlabeled data. Extensive experimental results on several real multi-label datasets show that after dimensionality reduction using MSDA, the average classification accuracy is about 9.71% higher than that of other algorithms, and several evaluation metrices like Hamming-loss are also superior to those of other dimensionality reduction methods.     

基于PDCA循环工作法实施科学化管装

针对当前我军科学化管装的现状,本文从提高科学化管装的水平入手,综合运用PDCA循环工作法的相关原理,结合当前的实际,就如何提高科学化管装水平进行了探索性的思考,并提出了相关的改进措施。     

基于神经网络的数字验证码识别研究

验证码是网络上普遍采用的一种用于真人交互证明的有效方法.对验证码识别的研究有助于解决硬人工智能问题,促进人工智能领域的进步.现有的研究多是针对一种验证码,通过多种方法进行识别.这类方法对先验知识的依赖很大,识别方法对其他验证码不一定有效,或者需要大量调整来适应新的验证码.为了研究验证码识别算法的适应性问题,通过选取多个具有代表性的网站的验证码图像,基于分割法和Hopfield神经网络进行分析和试验,取得了较好的试验结果.试验结果表明:利用字符图像灰度信息和Hopfield网络可以有效的对可分割的验证码进行分类识别,算法有一定的适应性,并且仅需字符图像的灰度信息既可适应新的验证码,对先验知识的依赖少.     

活性炭吸附法脱除茶叶提取液中咖啡因的工艺研究

探讨了活性炭吸附脱除茶叶提取液中咖啡因的最佳工艺条件.结果表明,吸附时间2 h,活性炭用量0.125 g/mL,温度40℃,质量浓度45 g/L为活性炭吸附咖啡因的最佳工艺条件,茶多酚与咖啡因的质量比由原来的6.9增至64.8,且活性炭可以重复使用,在整个实验过程中无需使用有机溶剂和昂贵的设备.