A Study on the Mathematical Models for Two Dimensional Guillotine Cullting-stock

Based on the analysis and study on some existed models for two-dimensional Guillotine Cutting-Stock problem, it is pointed out that some kinds of the models may miss some good cutting patterns,and some may result in inadequate solutions because of only considering the patterns with the smallest waste. A kind of revised two-dimensional cutting-stock models are developed,which transform the two-dimensional problem into the one-dimensional one using the dimension-decreasing heuristic method and whose initial patterns are considered comprehensively. In this kind of models, not only the least waste,but also the other constraints,such as the demands and the relative area of the order plates are considered.     

Load dynamic matching of supply and demand side based on the utilization of urban sewage heat energy

Flowing dynamic characteristics and its temperature dynamic characteristics of a three-level sewage pipe network in Chongqing were analyzed. A mall's building whole year load was simulated. In the adverse condition of wastewater flow, the market construction peak discharge heat was compared with the sewage heat load, the balance between the most adverse flow and the building demand was found. Explored supply and demand matching method between urban sewage and city building load in flow adverse condition to take full advantage of the urban sewage cold and hot resources. the composite system was adeptcd to make up the most unfavorable flow time of sewage average heat load and the construction load difference; it also puts forward principle of load sharing and control strategy aimed at compound system.     

Parsimonious Covering Probability Model for Turbogenerator Vibration Faulty Diagnosis

The turbogenerator vibration faults have the character of variety. Many faults often occur synchronously. This paper introduces a diagnosing model based on parsimonious covering theory and probability. A model for turtogenerator's fault diagnosis is proposed. The availability of this method is proved by two fault diagnosis examples of turbogenerator. The results show that the model proposed can be used for multi_fault diagnosis together. It may make up shortage for some of expert systems and neural networks in some aspect. From the practice,this model has higher reliability and practicability.     

利用多种抗源选育小麦远丰139的研究

为了选育持久抗耐多种病害的小麦核心抗病种质,以奥地利黑麦、中间偃麦草和野生二粒小麦为抗源,采用单交、复合杂交、回交、阶梯式杂交等多种组配方式,将基因逐步累加、聚合到一起。选育中以不丢失抗性基因为前提,以抗旱耐寒为适应性选择的基本标准。育成的小麦新品系远丰139半冬性,耐寒、抗旱,株型结构好,产量高,品质好。经西北农林科技大学植保系鉴定对条锈病免疫,对白粉病和叶枯病高抗,中抗赤霉病。经农业部谷物品质检测中心分析,品质达到国标精制级面条用小麦粉标准。2005年陕西省区试较对照小偃22增产5.6%。     

玉米人工合成群体产量相关性状选择潜势及杂种优势模式分析

采用NCⅡ遗传交配设计 ,以分属于不同杂种优势群的 6个自交系做测验种 ,与 6个合成群体组配成 36个组合。结果表明 :单株产量的GCA以LBM最高 ,其次为WBM ,从株型、穗型性状的SCA分析合成群体与自交系组成了 9个优良杂种优势模式。单株产量最高的组合为HZ85×WBM ,其均值为 10 8 75g。通过对优良杂优模式内的变异参数估计 ,在群体内有丰富的变异个体 ,具有很强的选择潜势。组合内个体产量分布以及出现的频率对选系和轮回选择具有明确的指导意义。人工合成群体具有丰富的遗传变异 ,分属于不同的杂种优势类群 ,具有多元种质的特性。作为选系和轮回选择群体 ,具有明显的选择潜势     

小麦叶片RuBP羧化酶活性对湿害逆境的响应能力及亲本效应分析

用＾１４Ｃ同位素示踪法研究了６个小麦品种叶片的ＲｕＢＰ羧化酶活性对孕穗期湿害逆境的响应能力及其产量性状表现；用完全双列杂交法测定了９个小麦亲本耐湿性的配合力。结果表明：在孕穗期湿害逆境下，不同品种间的ＲｕＢＰ羧化酶活性下降程度存在明显差异，这种差异与主茎绿色叶片数和产量性状的变化相一致，配合力分析结果表明，亲本之间一般配合力差异达极显著水平，组合间特殊配合力效应存在显著差异，说明小麦品种的耐湿性受     

福建省甘薯种质资源鉴定与评价

征集甄别保存甘薯种质资源606份,编写出品种目录,拍摄了彩色图谱册;摸索出适合福建省气候特点的田间种植、薯块贮藏、老蔓越冬和茎尖脱毒试管苗4种方法相结合的安全保存方法;首次在相同条件下同时完成了对保存的品种资源抗蔓割病、薯瘟病的鉴定,8种主要营养成份的分析及鲜薯与薯干产量的测定,筛选出抗蔓割病资源212份、抗薯瘟病资源109份、高干率资源14份、高淀粉资源12份、高水溶性糖资源13份、高粗蛋白资源13份、高粗脂肪资源12份、低粗纤维资源12份、高维生素C资源12份、高胡萝卜素资源12份,初步摸清了这些品种的分布情况;应用Borlanddel-phi7.0为设计集成环境和通用SQL方式查询程序模块创建了资源数据库;建立了107份骨干资源圃。     

轴流定桨式水轮机抬机事故分析及防止措施

对小型水电站轴流定桨式水轮发电机组的抬机现象进行了分类，从理论上分析了造成抬机现象的原因，并结合试验研究和现场处理经验，提出了防止抬机事故的几项措施。     

数据融合技术在温室温度检测中的应用

根据温室环境中空间大,温度场分布受到各种参数影响大等特点,提出了采用数据融合方法来处理温室中采集到的传感器数据,采用分布图法剔除疏失误差,采用基于均值的分批估计的融合方法对采集的数据进行处理,提高了温度采集的精度,同时有效地消除了由于传感器失效引起的误差。     

日本稻谷干燥机械化发展研究

日本稻谷干燥机械化程度已达到95%以上.在日本,水稻收割后实施产地及时烘干贮藏,大米品质好,米价高出我国10倍.我国稻谷干燥机械化程度低,干燥机械普及率低,直接影响稻谷生产效益和在国际市场的竞争力.借鉴日本成功的稻谷干燥机械化发展经验,推广和普及稻谷干燥设备,是我国农业生产中亟待解决的问题.