Microwave Sintering of Magnetite Concentrates

A basic research about microwave sintering of three kinds of concentrate has been investigated.Three parameters are included: microwave heating time,carbon addition in sample,variable basicity(CaO/SiO_2).As the microwave heating time increased,the temperature of magnetite concentrates increased too,once the temperature reached a point,the temperature change slowed down.With the same microwave heating condition,to add carbon powder will decrease the heating temperature of sample.In the condition of that the basicity is 2.5,the heating time is 20 min,and the microwave output power is 1 000 W,the sinter product with hole can be got,but the density is lower compared with the regular sinter product,and the reason needs a further research.     

Partition Algorithm of Power Network Based on the Optimum Clustering Principle

The paper construct the specimen of multi-dimensional space based on the definition of clustering, calculate the generator control sensitive to load and the Eulerian distance, partition the power system by the shortest distance method of clustering analysis. After the range of area num-ber is determined, the optimal area number and its validity is decided by Shannon function of entropy and Sugeno-Yasukaw rule. A case of IEEE 39-bus system is presented to verify the method.     

绵麦系列小麦品种（系）的农艺性状和品质性状分析

为利用好小麦资源材料,对19份绵麦系列小麦品种（系）的农艺性状和品质性状等15个性状进行分析。结果表明,农艺性状与品质性状间有着复杂的相关关系,有13对性状表现为显著或极显著相关,有23对性状表现为显著或极显著偏相关。产量与8个农艺性状的关联系数的序次为：基本苗>千粒重>穗粒数>容重>株高>最高苗>生育期>有效穗;产量与6个品质性状的关联系数的序次为：稳定时间>最大阻力>籽粒蛋白>面积>吸水率>湿面筋;蛋白质与9个农艺性状的关联系数的序次为：最高苗>有效穗>基本苗>穗粒数>产量>容重>千粒重>株高>生育期;稳定时间与9个农艺性状的关联系数的序次为：容重>最高苗>产量>生育期>有效穗>千粒重>株高>基本苗>穗粒数;面积与9个农艺性状的关联系数的序次为：基本苗>穗粒数>千粒重>产量>株高>最高苗>有效穗>生育期>容重。供试材料从农艺性状和品质性状可被聚为三类,第Ⅰ_2、Ⅰ_3、Ⅰ₄类育种时可以作为高产材料加以应用,同时Ⅰ₃和Ⅰ₄类群育种时可以作矮杆材料加以运用;Ⅰ₁和Ⅰ₄类群育种时可以作为优质品质材料加以运用。第Ⅱ类育种时可从粒重方面加以应用;第Ⅲ类从优质矮杆材料加以应用。     

Study on Reasonable Burden Structure of Smelting Vanadium Titaniferreus Magnetite in Blast Furnace

Under the condition of imitating the smelting process.the investigation has been carried out to the properties of melt dropping behaviours and reduction for several kinds of vanadium titaniferrous magnetites,such as sinter,pellet and lump ores;and especially the relation between the mineral constitute basicity of ores and its high temperature metallurgical quality is studied with its influence on the reduction process at the low and high temperature zones and the titanium reduction. So the reasonable burden mixture of smelting vanadium titaniferrous magnetites is high basicity sinter and acidity pellet. However,with the existing conditions of the steel plant.it is essential to improve the basicity of the sinter.     

谱聚类在给水管网分区优化中的应用

利用图划分技术和图论算法实现给水管网分区。根据给水管网分析,确定分区数量,建立权重邻接矩阵并计算图拉普拉斯矩阵及其特征向量,通过多路图划分对隐藏在特征向量中的聚类信息进行数据挖掘,采用遗传算法和K均值方法实现最佳节点聚类。利用PageRank和最短路径算法确定水表和阀门位置,最终实现给水管网优化分区。实际给水管网模型分区实例表明所提方法在给水管网分区的有效性。     

Segmentation of Color Image Based on Feature Divergence and Fuzzy Theory

In order to improve general adaptive capability of algorithm,the new color image segmentation algorithm based on feature divergence and fuzzy theory(FDCIS) is proposed.The algorithm introduces feature divergence and fuzzy dissimilarity function into calculation in order to measure the dissimilarity of feature vector,clusters data by means of feature divergence,and accomplishes the merge of image region.The experimental results demonstrate that the color image segmentation result of the proposed approach reduce calculation on large sample of color image,simply and effectively solve over-segmentation of color image,avoid the dependence of the algorithm on initial condition,and hold favorable consistency in terms of human perception.     

Intelligent Extracting Method for Feature Mode of Electric Days Load

Generally there have a number of bad data in the electric load data and it affects the precision of load forecasting,so it is necessary for extracting the feature mode of days load data,then cleaning the load data before it is used to forecasting electric load or performing power system analysis.Inspired by soft clustering thought,a intelligent feature mode of days load data extracting method is proposed based on the mutual offset of fuzzy c-means clustering arithmetic and Kohonen self organization feature map neural network.With the merits of not only high extracting precision and convergent speed but also dynamic calculation capability,the method proposed can supply load forecasting or system analysis procedure with due data.Test results using actual data of Chengqu power supply bureau in Chongqing demonstrate the effectivity and feasibility of the method.     

长江下游水体微生物群落代谢多样性及影响因素研究

研究旨在对长江下游微生物群落代谢多样性以及环境因子对它的影响进行分析,以期为长江下游地区生态环境的改善及修复做参考。通过Biolog-ECO技术分析了长江下游各江段水体微生物代谢多样性,探究各江段水质理化因子变化与微生物群落代谢多样性的关系。研究发现长江下游水质指标除TP、TN外,其他指标均符合Ⅱ类以上标准;微生物群落的整体代谢能力南京江段最强;微生物群落丰富度指数在南京江段最高;多样性指数与均匀度指数由高到低排列顺序为安庆江段、南京江段、靖江江段、铜陵江段、芜湖江段;RDA分析表明,水体理化因子TP、Pb对长江微生物代谢六大类碳源呈现正相关关系。综合水质指标和各江段微生物代谢多样性分析,长江下游水体安庆江段和南京江段的富营养化程度较高,TP、Pb对长江下游水体微生物群落代谢多样性具有促进作用。     

菜薹硝酸盐积累与品种、营养品质之间的关系

为获得3种不同颜色菜薹的硝酸盐积累和营养品质间的关系,以绿菜薹(菜心)、白菜薹和红菜薹为试验材料,采用水肥一体化种植和对菜薹的营养品质测定相关方法对不同颜色菜薹的硝酸盐积累与维生素C、可溶性固形物等营养品质间的关系进行研究。结果表明:绿、白和红菜薹不同品种间硝酸盐含量差异显著。硝酸盐聚类分析将44个菜薹品种划分为硝酸盐含量高和低的2个类群:硝酸盐含量高的类群(33个品种)中包括绿菜薹33个品种中的31个品种和白菜薹5个品种中的2个品种;硝酸盐含量低的类群(11个品种)包含2个绿菜薹品种和3个白菜薹品种,另6个红菜薹品种均属于硝酸盐含量低品种。菜薹硝酸盐积累与其营养指标密切相关,根据硝酸盐含量和营养品质指标(包括维生素C、还原糖、可溶性固体物质和蛋白质含量)的聚类分析结果分为3类:第1类包含32个绿菜薹品种和2个白菜薹品种,为高硝酸盐含量和营养品质指数低的品种;第2类包含6个红菜薹品种和2个白菜薹品种,为低硝酸盐含量和营养品质较高的品种;第3类包含1个绿菜薹和1个白菜薹品种,硝酸盐含量低且营养品质佳的品种。PCA分析表明,硝酸盐积累与各营养指标存在差异,且相关性分析也证实硝酸盐与营养指标存在显著相关。菜薹硝酸盐与营养品质分类和相关性分析为筛选和选育低硝酸盐高品质品种奠定基础。     

甜荞农艺性状与产量关系的多重分析

为确定构成甜荞产量的主要因子,为甜荞种质评价与创新提供理论依据。以34份甜荞品种为材料,研究分析甜荞农艺性状与产量的变异特征,进行相关分析、通径分析、主成分分析及多元线性回归分析。结果表明,甜荞农艺性状和产量的变异系数达13.3%~44.0%;产量与株高、单株粒数、单株粒重呈极显著正相关,与主茎节数和分枝数呈显著正相关,而与第一节间长和千粒重呈不显著的正相关。因此得出,单株粒重、主茎节数、单株粒数、分枝数是构成产量的主要因子。     

A Class of Hypergraphs with the Best Connectivity

A jumping sequence is proposed,so that a class of r-uniform hypergraphs with nvenices and n edges is constructed. Then by analysing the connectivity of its two-section (graph),this class of hypergraphs is proved to have the best connectivity. The class of hypergraphs can beused to desisn the optimal fault-tolerant multibus computer systems.     

费约果花芽石蜡切片技术的改良

为获得用石蜡切片方法观察费约果花芽形成和分化的整个过程的最优条件,选择了3 个不同发育时期的花芽进行石蜡切片技术研究。以常规石蜡切片方法为基础,在固定、软化、脱水、透明、包埋以及染色等具体方法上进行了适合费约果花芽特点的改良。结果表明：对材料进行24 h 盐酸水溶液浸泡法进行软化后,采用优化后的一系列脱水、透明等步骤进行制片操作,可以得到连续的、完整的蜡带;最终获得切片通过显微观察,可见材料内部结构完整、染色清晰。优化后的石蜡切片技术,避免了常规制片过程中出现浸蜡不彻底、组织变硬变脆、蜡带不连续、内部结构不完整等问题。该研究为费约果石蜡切片技术提供了一套具体的操作步骤,同时也为与费约果花芽结构相似树种的研究提供技术参考。     

A fast image segmentation algorithm with local C V active contour model

For the typical C V Algorithm, there exists the weakness of requiring multi iterative operations and long time computation to deal with large size image. Based on the analysis upon the relationship between the image size and the initialized approaching image with the number of iterations and computing time to obtain the stead results, an improved local C V image divisional algorithm based on the segmentation of threshold value and the connected domain labeled algorithm to deal with large size image is proposed. The OTSU method is used to divide the threshold value of image to reach the goal of label and local segmentation of image through the fast non recursion algorithm of connected domains. The segmented pieces and the result of its segmentation are used as the initialized approaching image of the C V algorithm model. Compared with the classical C V algorithm, the analysis and simulated result indicates that the improved C V algorithm reaches the steady solution quickly with fewer times of iterations. The proposed method can handle large size image with profound contour details quickly and effectively.     

长江镇江和畅洲水域鱼类群落组成及环境影响因子

为了解长江镇江段和畅洲鱼类群落组成现状及其与水环境因子的相关性,本研究于2016年11月—2017年10月在长江镇江和畅洲水域进行周年调查,运用冗余分析法(RDA)分析鱼类群落组成与环境因子的相关关系。结果显示,共采集鉴定鱼类79种,隶属于9目17科57属,其中鲤形目鱼类占据绝对优势。部分水环境因子如正磷酸盐、水温、水深对鱼类群落组成具有显著影响(P<0.05),草鱼、鲫与正磷酸盐浓度相关性最大,鳡、贝氏䱗与水深的相关性最大,蒙古鲌、青鱼与水温的相关性最大。潮汐也是影响鱼类群落组成的关键因子,总体上表现为大潮期的渔获物种数和渔获尾数较多,但差异不显著。研究结果补充了长江下游段鱼类的基础数据,对该流域渔业资源评估与保护提供了科学依据。     

土壤容重对棉铃虫卵发生的影响

棉铃虫卵量的多少直接决定着危害棉花的幼虫的数量,而在新疆以二代幼虫危害最为严重。不同棉区的气候和土壤类型有差异,而土壤是棉铃虫幼虫入土和化蛹的重要媒介,因此弄清土壤对虫卵产生的作用有着理论和现实的意义。此文通过对南疆（麦盖提县）和北疆（沙湾县）两个植保站的多年虫情资料和全疆30个农业气象试验站的实测数据进行回归分析、通径分析和聚类分析,得出影响南疆麦盖提县虫卵的因子较多,其中土壤容重对其虫卵的发生直接作用较小（-0.025）,指示作用较小,而影响北疆沙湾县虫卵的因子较少,土壤容重对其虫卵的发生直接作用较大（-0.294）,指示作用相对较大。降水对虫卵的影响在南、北疆也不相同。土壤容重对虫卵的影响是负作用,对虫卵的发生起到一定的指示作用。因此,可能运用不同地区的土壤容重,并结合相关的气候和生物因子,可以对棉铃虫卵的发生程度起到一定的指示作用。     

Using colour image analysis for quantitative assessment of powdery mildew on cucumber

Summary Visual assessment, black & white image analysis and colour image analysis of the severity of powdery mildew (Sphaerotheca fuliginea) infection on leaves of cucumber (Cucumis sativus) were compared. The extent of infection with powdery mildew was expressed as the number of spores per cm². Statistical treatment of the data showed colour image analysis to be superior to the other two methods of evaluation. Major veins, light reflections and variations in the colour of leaves can degrade the accuracy of colour image analysis somewhat. These problems are, however, surmountable. Colour image analysis qualifies as a valuable new tool for accurate, objective, reproducible and detailed quantitative assessment of disease on leaves of plants.Abbreviations H hue - I intensity - IA image analysis - PM powdery mildew - S saturation     

A compensation method of human visual system based-on NR-IQA

Visual contrast resolution is lower in the low-light level. A compensation method for low-light image based on no-reference image quality assessment(NR-IQA in short) is presented. A mathematical model for extracting vision evaluation parameters is built. The best image quality assessment function is achieved to assess the quality of compensated image. The third step was to get the relationship between the assessment function and the corresponding compensation factors. The method of automatic optimization can be used to quickly acquire the optimal quality from an be taken from scotopic vision, especially image applied to the compensation of video image sequences rapidly.     

Using Digital Image Analysis to Describe Canopies of Winter Oilseed Rape (Brassica napus L.) during Vegetative Developmental Stages

In our experiment digital image processing is used to predict characteristics in a winter oilseed rape canopy. A large series of images was taken in 2002–2003 in close intervals from a measuring area of 1 m². These images were automatically evaluated by a self‐written computer program analysing the red/green/blue colour channels of each pixel. The number of determined green pixels was then related to the total pixel count of the image. Image evaluation helped to determine canopy structure by digital image analysis subjected to several applications, i.e. soil coverage, leaf area index (LAI), dynamics of plant number during vegetative developmental stages including entire winter season. Furthermore, number of plants per m² and position of each plant were determined by image analysis. Results show that all parameters are dynamic during the vegetative developmental stages (germination–beginning of flowering) mainly depending on temperature. During the vegetative developmental stages number of plants varied. Emergence lasted 30 days resulting in large differences in growth and development of individual plants. During winter number of plants decreased due to longer phases of frost. Plant growth indicated by dynamics of LAI alternated with phases of cessation due to low temperatures above zero or frost. Reductions in soil coverage and LAI clearly started at daily mean temperatures below 5 °C. After the analysis, differences in LAI as well as changes in number of plants during the early phase crop development can serve (i) as input parameters to growth models, (ii) to improve canopy reflectance measurements by separating spectral signatures of soil and canopy and (iii) to determine and explain heterogeneities within the canopy.