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.     

基于灰色聚类分析的我国农产品冷链物流水平综合评价

农产品冷链物流的合理评价对政府制定政策有重要参考价值。本文从基础设施、需求水平、运作水平和信息化水平四个维度建立了冷链物流评价指标体系,用熵值法确定指标权重,用基于中心点的灰色聚类评价模型对我国31个省、直辖市与自治区（港澳台除外）进行了实证研究。结果表明：对于农产品冷链物流发展水平,我国东部地区的10个省级行政区以及东北地区的1个省份均处于“优”、“良”发展水平;中部地区的4省份、西部地区的6省份以及东北地区的2省份处于“中”等发展水平;中部地区的2省份以及西部地区的6省份处于“差”的发展水平。     

模糊聚类在河南省小麦气候生态区划中的应用

对影响小麦分蘖成筛、穗粒数、千粒重 １２个气候要素，有代表性的８个地点进行模糊聚类分析，当选取λ值为０．８５７时，交小麦气候生态聚为四个类区，即豫南、豫北、豫中北、豫中南；并对各气候生态区的小麦品种布局原则，生育特点及进一步提高产量的关键措施作了概述。     

Cotton Image Segmentation Algorithm Based on Fusion Method of Markov Random Field and Quantum Particle Swarm Cluster

[Objective] The aim of this study was to improve the cotton image segmentation accuracy in a picking robot image processing system. [Method] An image segmentation algorithm based on a fusion method of Markov random field and quantum particle swarm optimization clustering was proposed. The process of the proposed algorithm is as follows: first, transform the RGB (red, green, blue) images into grayscale; second, use it to segment these images; finally, the threshold of the connected area is set on the basis of the segmented image to obtain the target area. Then, the cotton front image and the cotton side image are selected from the images collected from different angles. The segmentation experiment was carried out by using this algorithm, and compared with the Otsu algorithm, the fuzzy C-means algorithm, the quantum particle swarm image segmentation algorithm and the Markov random field image segmentation algorithm. [Result] The results showed that the segmentation accuracy and peak signal to noise ratio of the proposed algorithm were 98.94% and 77.48 dB. When compared with the Otsu algorithm, fuzzy C-means algorithm, quantum particle swarm optimization algorithm and Markov random field algorithm, the average segmentation accuracy and peak signal to noise ratio of the proposed algorithm increased by 2.47%–4.56%, and 9.81–13.11 dB, respectively. [Conclusion] The proposed algorithm had higher segmentation accuracy and higher peak signal to noise ratio than the other algorithms tested.     

基于秩相关和聚类分析的小麦品质分析

探讨小麦品质之间的差异,以期为培育小麦品质和小麦加工提供理论支持。以23个小麦品种为实验材料,用相关分析、聚类分析等对小麦品质进行分析,测得小麦质量、蛋白质含量、稳定时间等8项品质指标,研究8个品质指标之间的相互关系,并且对23个品种进行聚类分析。结果表明,面团稳定时间变异系数最大,其值为60%;通过秩相关处理后进行相关分析,更能够反映参数之间的相关性,蛋白质含量与湿面筋相关系数为0.8,拉伸阻力与稳定时间的相关系数为0.85,延展性与湿面筋相关系数为0.68,稳定时间与沉降值相关系数为0.67;小麦品种聚类后分为5类,品种15为第1类,品种14为第2类,品种1、9、16、10为第3类,品种2、8、5、21、17、18为第4类,其他品种为第5类。     

Research Advance on Rockburst Theory and Its Engineering Application in Collieries

This paper summarizes and describes the progress in coal rockmass outburst theory in resent decades both at home and abroad,discusses the tendency of mechanism of rockburst,and gives a fullier review about the presently adopted prediction methods and preventive measures,simultaneously looks into the prospective development on the study of prediction and preventive measures and its practical applications.     

基于模糊数学与神经网络的农业产业集群评价研究

针对目前农业产业集群评价研究现状较少状况,尝试运用模糊数学方法对指标数据运用隶属度函数处理,以一级模糊综合评价向量作为神经网络评价模型的输入,再运用神经网络模型对农业产业集群进行评价,神经网络的非线性处理能力使农业产业集群评价更加科学化,并以连云港农业产业集群评价为例给出了实证研究。     

Research on QoS Strategy of Web Server Cluster Application Based on Request Classification and Request Admission Control

The increase of requests often results in performance degradation of the web server cluster. The quality of service (QoS) expected by users can't be guaranteed. This is the problem that service-level web server cluster must cope with. In this paper, two strategies are proposed including classification of the user requests and request admission control, the different quality of service can be reached and the QoS of service-level users is guaranteed. The simulation experiments proved, the load balance of the system is improved and average response time of the system is decreased.     

基于熵权法的中国玉米产业系统安全度的模糊估算与分析

为了对中国玉米产业安全进行动态评价与变化趋势分析,采用基于熵权法和模糊综合评价法建立玉米产业系统安全综合评价模型,利用历史及预测数据对1999—2017 年玉米系统安全度进行估算,据此对中国玉米产业系统安全状态进行总体评价。结果表明：近年来中国玉米产业安全形势不容乐观,2007—2017 年中国玉米产业的安全状态波动加剧,玉米及其副产品进口量大幅增加,进口依赖性增强,国际资本对中国玉米产业股权控制加强则是影响玉米安全的主要因素。据此提出积极应对玉米产业外资进入、降低玉米进口国别依存度、努力掌握玉米贸易定价权等对策。     

油菜含油量研究及高油分育种

提高油菜种子含油量，选育高油分品种是油菜生产和科技发展的方向，贵州农学院油料研究室的研究表明：含油量的变异远小于种子产量的变异；于代尤其是F1代与母本会油量至高度正相关；黄籽油菜比黑籽含油正高；同时育成了“黄白一号”“黄油89-4“贵油Dhy”等高含油量品种（系）。选育油菜高含油量品种的主要途径是：甘兰型油菜在杂交育种中要选用高含油量的亲本，尤其是母本；白菜型油菜可进行正向混合选择；在选择过程用黄将作指示性状进行连续选择。     

热带农产品质量安全预警信息研究思考

热带农产品生产是推动中国热带地区（热区）农村经济发展的重要支柱。热带农产品质量安全问题已成为制约中国热区经济发展的主要问题之一,质量安全预警信息研究作为保证热带农产品质量安全、维护消费者权益的重要手段和措施,对热带农业发展意义重大。此文分析了热带农产品质量安全预警信息研究的必要性和现状,提出了进一步加强研究的建议。     

基于AHP与Fuzzy在供应商绩效评估中的应用

对供应商的绩效进行评估,是建立一个有效供应链至关重要的环节,它不仅有利于选择合适的供应商,同时也起到了让供应商企业自身发现问题,并不断提高的作用。在实际问题中,对供应商的绩效进行评估时,数据经常具有模糊性,并且很多因素权重难以度量,使得整个评估工作变得主观化,导致评估结果不理想,不能真正反应供应商的绩效水平。采用层次分析法与模糊理论对影响供应商绩效的因素进行分析,得出了一种有效的对供应商绩效进行评估的方案。     

绿色农业产业集群评价指标体系及应用研究 ――以陕西省渭北绿色果品产业集群为例

在提出绿色农业产业集群的概念的基础上，以陕西省渭北的绿色果品产业集群为研究对象，为其设计科学合理的指标体系。同时，根据设计的指标体系，利用非货币评价方法和层次分析法分别对该集群在2001－2005年所产生的集群效应进行综合评价。这种方法旨在通过对绿色农业产业集群的评价，客观认识整个集群的发展现状和发展过程中存在的问题，全面了解整个集群的可持续发展能力，从而为政府部门制定该集群的可持续发展战略和规划提供客观依据，使集群产业链上的企业了解自身的宏观发展环境，以便及时调整自身的发展战略和长期的营销策略     

谷物和种子介电特性的研究及应用进展

为了更好地研究农业物料介电特性,总结了国内在应用介电特性测量谷物的含水率、种子的介电分选,以及种子电致生物效应等方面的研究进展。     

Research and implementation on handwritten numeralrecognition technique based on fuzzy mode

Based on simulation and numeral recognition of the 24-bit bmp images of postal codes obtained by CCD transducer, a binarization method based on coloring matter is proposed, which is employed to extract the binary image of the frame line of postal code and the binary image of the mail character separately. The procedure of image processing is analyzed, which includes detecting and separating borderlines of postal code frames, image binarization, smoothing noise-removal, slant rectification, extraction of postal code numerals, position normalization processing, subdivision of digital image, feature extraction of character recognition, and so on. The pretreatment process of image recognition is described. Then, character feature extraction is conducted for pretreated images, while the angle correctness for postal code frames and characters is performed. Finally, the recognition result is determined. In this method, the difficulty of separating frame line from postal code character line is eliminated. In order to improve recognition rate, the combination of many methods of handwritten numeral is used, resulting in improved recognition rate of postal codes. The experiment shows that this method can obtain higher recognition rate, providing reference for the separation technique in postal system.     

文冠果不同群体果实和种子性状综合评价研究

通过文冠果不同群体的果实数量和质量性状以及相应的种仁含油和脂肪酸成分含量调查,研究文冠果的群体差异。结果表明,不同文冠果群体在成熟果数量、干果重与相应的种子数和千粒重等性状上变异较大,其中7#群体表现较好,其相应值分别(8.9±0.4)个、(39.40±0.8) g、(23.5±0.5)粒和(809.1±9.5) g。不同群体的脂肪酸含量和种仁油脂肪酸化学成分含量分析亦存在差异,其中7#群体的含油量和脂肪酸成分结构中碳数≤18的脂肪酸的相对含量最高,分别为(59.27±0.42)%和87.75%。