基于结构化模型驱动的稳控装置动作模拟仿真方法

提出了一种基于结构化模型驱动的稳控装置动作模拟仿真方法.通过对稳控装置模型的结构化,将其稳控策略组织为四元表形式(即故障、运行方式、潮流水平和控制策略),并将其控制策略分解为控制方式、控制量、控制量实施原则、控制对象队列和约束5个基本元素,在此基础上归纳出直接型、顺序型、循环型和最优型四种基本的控制策略结构化模型.进一...     

毕业生如何尽快实现心理断乳

近来,不时听到毕业生抱怨工作后遭遇到不公平待遇,例如与老员工同工不同酬、超负荷工作、打杂跑腿的琐碎事务缠身等.有些研究生进入科研单位工作后抱怨升职慢、工作职责多、终日为学术带头人打工等.     

Flame spread over the surface of thermal insulation materials in different environments

Experiments were conducted in a plateau area in Lhasa and a plain area in Hefei China to investigate the flame spread characteristics on thermal insulation materials under different environmental conditions (pressure and oxygen concentration).Molded polystyrene foam (EPS) and extruded polystyrene foam (XPS) samples were placed horizontally on a small-scale flame spread experimental bench.Changes in the average length of the pool fire,flame spread speed,average flame height,and length of preheating zone were used to determine the effect of the plateau and plain environments on flame spread characteristics.These parameters were all larger in Hefei than in Lhasa,which indicates the fire hazard in Hefei will be higher than that in Lhasa if insulation materials of the same size are used.     

毕节地区农业科学研究所图书资料室的现状及发展对策

分析了毕节地区农业科学研究所图书资料室的现状和存在的问题,从图书资料室的馆藏文献、网络化、数据库、服务体系及人才队伍建设等方面提出了发展对策。     

浅谈高校图书馆管理的改进

从整体思路、部门设置和管理方式3个方面论述了当前高校图书馆管理方式改进的必要性,其目的是不断提高图书馆的服务水平和服务质量,同时不断降低图书馆的运营成本。     

交通工程成本控制与管理的研究

交通工程施工企业合理制定加强成本控制的方案和措施,建立和完善成本控制体系,提高成本控制的有效性,抓好招标、施工、竣工验收阶段的各环节,完善成本控制核算制度,努力降低成本,才能提高企业的效益.     

美汉草（Meehania fargesii Levl）生物量分配分析

调查阔叶红松林林下早春开花植物美汉草(Meehania fargesii Levl)各个器官生物量分配变化情况.结果表明:在整个生长季节中,美汉草各器官生物量总体上呈现先增加后减少的趋势,5月初~7月初,根生长速率先快后慢,茎叶生长速率先慢后快,7月中旬以后各器官生物量逐渐减少;美汉草有性生殖的生殖分配占总生物量的比例较小(4%~6%);根冠比在5~6月不断上升,6~7月迅速下降,7月以后保持稳定;根和茎叶生物量分别与总生物量呈显著的线性正相关关系.分析显示:为了适应阔叶红松林林下的光照变化,在林分郁闭前,能量主要分配给地下部分;林分郁闭后,茎叶生长占主导.美汉草主要以营养繁殖为主,第2年的地下根状茎来自第1年地上茎的繁殖方式及生物量分配策略,可能是美汉草成为林下优势草本的重要原因.     

《特种建筑材料》双语教学的探索与实践

就《特种建筑材料》采用双语教学的教材、课件、教学形式、作业、考试等问题进行了探讨,并对《特种建筑材料》开展双语教学一年多来的成效进行了分析,希望对其他课程的双语教学开设有一定借鉴作用。     

种群多样度的改进

对几种常见多样度的提法做了比较,提出了种群多样度的另一种定义,在很大程度上改善了以往多样度定义的缺陷,为种群多样性的判断提供了有力的依据.     

An Efficient Multidimensional Fusion Algorithm for IoT Data Based on Partitioning

The Internet of Things (IoT) implies a worldwide network of interconnected objects uniquely addressable, via standard communication protocols. The prevalence of IoT is bound to generate large amounts of multisource, heterogeneous, dynamic, and sparse data. However, IoT offers inconsequential practical benefits without the ability to integrate, fuse, and glean useful information from such massive amounts of data. Accordingly, preparing us for the imminent invasion of things, a tool called data fusion can be used to manipulate and manage such data in order to improve process efficiency and provide advanced intelligence. In order to determine an acceptable quality of intelligence, diverse and voluminous data have to be combined and fused. Therefore, it is imperative to improve the computational efficiency for fusing and mining multidimensional data. In this paper, we propose an efficient multidimensional fusion algorithm for IoT data based on partitioning. The basic concept involves the partitioning of dimensions (attributes), i.e., a big data set with higher dimensions can be transformed into certain number of relatively smaller data subsets that can be easily processed. Then, based on the partitioning of dimensions, the discernible matrixes of all data subsets in rough set theory are computed to obtain their core attribute sets. Furthermore, a global core attribute set can be determined. Finally, the attribute reduction and rule extraction methods are used to obtain the fusion results. By means of proving a few theorems and simulation, the correctness and effectiveness of this algorithm is illustrated.