对《中图法》(第四版)类目注释的系统认识

本文从语言特点、编排体例及内容特点出发,对《中图法》(第四版)类目注释进行了系统的认识,并就此提出了自己的一些看法。     

智能喷水灭火装置不同布置方式技术分析

在考虑喷水强度和喷水均匀性的基础上,文章针对智能喷水灭火装置的特性并综合国内一些工程实践经验,对智能喷水灭火装置的主要几种布置形式做出了技术分析比较,指出对于狭长型建筑物应采取单排布置形式,在多行列布置时宜被首选应用.     

中国古典园林与戏曲舞台空间布景的共通性

优秀的传统文化是一个民族劳动人民智慧的结晶。随着全球经济一体化的发展，中国传统文化受到西方文化的猛烈冲击，因此以中国古典园林和戏曲艺术的研究为代表的优秀传统文化的研究对中国现代文化发展有着深远意义。笔者通过查阅国内现有的关于古典园林和戏曲舞台空间布景的研究，发现该领域的研究并不丰富。通过对二者空间布局的层次、置陈布势的常用手法和艺术性进行共通性研究，希望对古典园林和戏曲保护提供参考和指导。     

基于径向基神经网络的非寿险公司财务预警研究

选取我国保险行业中40家非寿险公司2006~2008年的混合非平衡面板数据作为研究样本，采用径向基神经网络模型从偿付能力、盈利能力、成长能力三个角度对非寿险公司财务预警进行研究。实证表明，此模型可以为管理层的财务预警提供更有有效的信息，并且在我国保险业具有样本量小，有效数据少的情况下，有着良好的运用前景。     

三维可视化平台下建模分析以及数据的交换——以广州大学为例

使用了三维GIS技术对区域建筑进行虚拟,首先采用ArcGIS to SketchUP6Plugin插件将具有空间参考坐标的广州大学建筑楼的地理数据导入SketchUP,在其中建立带有贴图的精细的广州大学建筑三维模型,最后将三维模型导回Arcscene中进行三维显示及分析。     

青海省农作物品种管理数据库系统的建立及应用技术研究

青海省首次建成并使用的“青海省农作物品种管理数据库系统”是促进全省品种管理、合理推广应用优良品种，为社会提供品种咨询服务业务的信息系统工程，对发展农业生产，提高良种覆盖率具有很高的实用价值和理论意义。     

智慧养猪中猪只个体识别技术的选择

智慧养猪已成为生猪产业发展的新趋势,其核心主要聚焦于智能环控、智能饲喂和对猪群的视频监控等技术的应用。大数据采集是实现智能化的前提,因此,通过射频识别（RFID）技术建立猪只大数据是实现智慧养猪的基础。通过正确的猪只个体识别技术的选型,在不同生命周期给猪只选配合适的电子耳标,给猪只建立精准的身份证明。在不同阶段的数据采集场景中,通过识别电子耳标产生真实数据的关联,准确掌握每一头猪从出生到屠宰再到消费市场终端之间的信息,从而确保了动物健康养殖、疫病控制和食品安全,真正意义上实现智慧养猪。     

Research On Flying Animation System Driven by Data

Larger quantities of data about flight performance and flight condition are recorded by flight data recorder (FDR) during the aircraft's flying. It is an importance task to make 3D flying animation from the data on the process of flight data. The design ideas and realizing methods about the software of flying animation system driven by the data from relation database are presented.     

Effects of arrangement of surge-rootirrigation emitters on growth,yield andwater use efficiency of apple trees

Six-year old apple trees were selected for field experiment. The objective of this study was to obtain the reasonable arrangement of surge-root irrigation emitters in apple orchards. There were three factors: the buried depth H( 25,40,55 cm),the horizontal distance L( 30,40,60 cm) between the emitters and the trunk of the experimental tree,and the number of the irrigation emitters N( 1,2,4). The effect of the arrangement of surge-root irrigation emitters on the growth,yield and irrigation water use efficiency( IWUE) of apple trees were studied in Northern Shaanxi where the irrigation quota takes 60%-75% of the field water capacity. The results showed that the arrangement of emitters for surge-root irrigation had a significant effect on apple tree yield and IWUE,especially,the yield and IWUE reached 28 388. 17 kg/hm2 and 16. 83 kg/m3 in treatment T3,respectively. At the same L and N levels( T1,T2,and T3),the yield and IWUE in treatment T3 were the highest,and the yields in treatments T1 and T2 were decreased by 26.22% and 31.48%,while IWUE is reduced by14.02% and 18.12% compared with T3,respectively. At the same H and N levels( T3,T4,and T5),the yield and IWUE of apple trees were decreased with increasing L level. Especially,when L was 30 cm( T3),the yield and IWUE were the highest. The same L and H levels( T3,T6,and T7) could promote the growth of apple trees when N was 2( T3). Compared with treatment T3,it was found that the increment of new shoots was decreased by 8.07%-18.71%,and the fruit diameter was decreased by 5.41%-9.11%. Therefore,two emitters should be arranged symmetrically on both sides of an apple tree,each was buried at a 40 cm depth and 30 cm away from the trunk of the tree to effectively improve the yield and IWUE of the apple tree in mountainous areas in Northern Shaanxi.     

A model of decision-making and information flows for information-intensive agriculture

This paper describes the development of a systems based model to characterise farmers’ decision-making process in information-intensive practices, and its evaluation in the context of Precision Agriculture (PA). A participative methodology was developed in which farm managers decomposed their process of decision-making into brief decision statements along with associated information requirements. The methodology was first developed on a university research farm in Denmark and further revised during testing on a number of research and commercial farms in Indiana, USA. Twenty-one decision-analysis factors were identified to characterise a farm manager’s decision-making process. Then, a general data flow diagram (DFD) was constructed that describes the information flows “from data to decision”. Illustrative examples of the model in the form of DFDs are presented for a strategic, a tactical and an operational decision. The model was validated for a range of decisions related to operations by three university farm managers and by five commercial farmers practicing PA for cereal, corn and soybean production in Denmark and in Indiana, USA.