采用根滤去污工艺的污水净化植物补救系统决策支持软件

为了开发利用植物去除因吸收污染水而产生的重金属的商业化根滤系统和植物去污补救工艺,研究开发了微型计算机软件,以便为该系统的设计与运行提供参考。建立了一个基于Michaelis-Menton方程的工艺模型,可以定量确定在根滤系统中的植物积累和去除毒素物质的能力。采用一系列的算法处理信息并编入一个根滤设施的系统模型内。该系统模型将植物补救系统的物理元件——植物苗圃、根过滤系统、水的前处理与后处理、植物生物质的产后处理等与系统设计的工程方面包括工艺、运行、设施和系统集成结合起来。该软件内含的工程经济分析工具可用于分析主要设计变量对系统效率的影响     

论决策支持系统在我国节水灌溉中的应用

本文根据节水灌溉的特点论述了DSS在节水灌溉中应用的必要性,综合分析了国内节水灌溉DSS应用的现状、存在的问题及未来的发展战略。     

基于决策支持的棉库管理系统设计与实现

根据棉库管理的业务需要,规划设计了基于决策支持的棉库管理系统平台总体框架。阐述了系统的平台架构及组成,分析了系统软件组成结构、系统开发工具及技术的选择、人机对话系统设计等系统的实现。     

Challenges in developing and implementing a decision support systems (ETÇAP) in forest management planning: a case study in Honaz and Ibradı, Turkey

Decision support systems (DSSs) are indispensable tools in preparing a forest management plan for a better combination of multiple forest values. This study attempted to develop and explain a stand-based forest management DSS (Ecosystem-based multiple-use forest planning [ETÇAP]) comprising a traditional simulation, linear programming (LP), metaheuristics and geographic information system. The model consists of five submodels; traditional management approach to handle inventory data, an empirical growth and yield model, a simulation to conceptualize management actions, a LP technique to optimize resource allocation and a simulated annealing approach to directly create a spatially feasible harvest schedule. The ETÇAP model has been implemented in a comparative two case study areas; Denizli–Honaz and Akseki–Ibrad?. Both simulation and optimization models outperformed to the traditional management plan. The periodical change of growing stock, allowable cuts, carbon sequestration and water production are used as performance indicators. The results showed that more amount of wood could be harvested over time compared to traditional level of harvesting. It could be concluded that various management strategies allowed managers to stimulate more decision options for better outputs through intertemporal trade-offs of management interventions as the model provided tools to quantify forest dynamics over time and space. Challenges exist to establish the functional relationships between forest structure and values for better quantification and integration into the management plans.     

Partial discharge pattern recognition based on S transform and two-directional 2DPCA

A new feature extraction method is proposed to recognize different types of partial discharge (PD) signals. Firstly,four typical categories of PD artificial defect models are made and S transform (ST) is employed to obtain a time-frequency representation of the recorded UHF signals. Then,two-directional two-dimensional principal component analysis ((2D) 2PCA) is applied to compress the ST amplitude (STA) matrix to extract features. Finally,support vector machine (SVM) combined with particle swarm optimization (PSO) algorithm is introduced to accomplish the recognition of experimental samples. Classification results demonstrate that the average recognition rate of (10,5) combination is the highest while the one of (5,5) combination is the lowest among four kinds of feature dimension combinations. Moreover,PSO can obviously improve the classification performance of SVM. Specifically,all the average recognition rates of PSO-SVM are higher than 94.43%and the maximum value comes to 97.67%. Therefore,the feature sets extracted by ST and (2D) 2PCA can not only achieve dramatic dimension reduction,but also retain the major information of original data. It is proved that the proposed algorithm can obtain ideal results in PD pattern recognition.     

金融支持·农户行为与农地流转

农户可获得的金融支持情况对农户流转行为及农地流转规模具有重要影响.基于陕西省农户获得金融支持情况,采用多元Logit模型和Tobit模型对样本数据进行计量分析,结果表明农户是否获得农业贷款、是否获得农业补贴、过去3年是否有借款、是否从正规机构借款以及借款的难易程度等金融支持变量对农户流转行为和流转规模有显著的影响.根据研究结论,从财政金融、政策性金融、银行金融和金融产品创新等方面提出了相关建议,并对土地流转的非粮化与国家粮食安全问题进行了进一步讨论.     

面向过程挖掘的C4．5在营销决策支持系统中的应用

产品营销过程中,企业需从目标市场中判断高、中、低档产品,哪类更适合其市场需求,以此可使在复杂的市场环境下及时调整产品结构,适应市场需求变化。本文采用数据挖掘C4．5算法,将原有的硒数据经处理后,导入到数据仓库中形成结构化数据,采用过程挖掘的方法对挖掘结果进行分析和评估,充分发挥决策支持系统的辅助决策作用。     

基于红外光声光谱的农作物秸秆导热系数定量分析

选用我国华北地区具有代表性的小麦、玉米、水稻秸秆样品,对比研究了偏最小二乘(PLSR)和高斯核支持向量机(RBF-SVR)分别构建单一和混合种类秸秆全波段定量分析模型的效果,探讨了红外光声光谱耦合化学计量学方法构建我国主要粮食作物秸秆导热系数定量分析模型的可行性。研究发现,小麦秸秆和水稻秸秆导热系数RBF-SVR非线性模型,以及玉米秸秆、混合种类秸秆的PLSR线性模型效果较优。进一步应用蚁群算法与上述最优建模方法相结合,构建了更加优化的小麦秸秆、玉米秸秆、水稻秸秆和混合秸秆导热系数模型,验证决定系数(R_p~2)分别为0.77、0.83、0.96和0.79,验证均方差(RMSEP)分别为0.007 8、0.015、0.005 9、0.014 W/(m·K),验证相对分析误差(RPD)分别为2.81、2.41、7.39和2.15。研究结果表明,红外光声光谱技术结合先进适用的化学计量学方法可实现我国主要粮食作物秸秆导热系数的快速定量分析,但混合秸秆模型预测精度仍需进一步提升。     

集成云架构在横沙渔港信息化建设中的应用

渔业信息化大大提高了渔业生产、销售、质量跟踪等过程的效率。为了进一步提高渔港企业的生产效率,本文提出了一种基于云计算的渔业信息系统集成架构。本文从基础架构、平台与数据集成、软件应用服务三个方面阐述了渔业信息系统的集成与部署。经过实践证明,应用该架构可以提高渔业信息系统的效率、可用性和灵活性,减少维护成本。     

位山灌区渠系优化配水决策支持系

根据位山灌区位于黄河下游、引水含沙量高、测流断面变化大的特点，编制了位山灌区渠系优化配水决策支持系统，主要内容包括来水管理、需水管理、水情资料管理、实际配水统计、配水方案拟定和系统设置等，创新性地进行了多站水量平差计算。