基于行为驱动的战能感知方程

作战本质上是战能积蓄感知传递转化的过程,战能感知是战能环逻辑起点,对战能环的发起和运转起着关键作用。为通过行为驱动实现装备战能与目标、环境的匹配,在总体战能约束下实现战能感知的最优化,提出了基于行为驱动的战能感知方程。首先定义了作战行为谱和战能环,明确了各对象之间的关系;其次对作战行为进行了特征解析,并进行了形式化表达,提出了作战行为谱的构建方法;然后基于行为驱动构建了战能感知方程,并用于战能感知优化控制;最后用实例对所提方法进行了验证,为作战运用优化提供技术支撑。     

一种新的蜂窝网无线定位位置解算方法

定位算法是无线定位技术研究的核心，其优劣将直接影响整个定位系统的性能。针对蜂窝网无线定位技术的特点，提出了一种基于坐标变换对TOA定位测量数据进行位置解算的方法，该方法通过对测量点的空间坐标变换，避免了位置解算过程中的方程线性化问题，减小了计算复杂度，并能大大提高位置解算的精度。实验结果表明，相对于泰勒级数展开法，有效地提高了系统定位性能。      

Design of child’s safety management system based on ontology using context information of home network

This paper presents a system to alert of dangerous a child situation of a child by applying context information collected from a home network to ontology that is capable of inference. Radio frequency Identification (RFID) and sensors were used for the configuration of a home network, to obtain the raw data to convert into context information. To express the ontology, web ontology language (OWL) was used to provide the inference of context information. Then, simple object access protocol (SOAP) messages were used to notify of the dangerous situations that a child may be involved in via mobile devices. The proposed system consists of Context Manager, Service Manager, and Notification Manager. The child's safety management system can proactively detect the context data of a child on the basis of context awareness. In the experiment, the Jena 2.0 by ontology reasoner and the OSGi(Open Service Gateway initiative) Gateway developed using open source software Knopflerfish 1.3.3 were used to implement the service frame work.      

Research on spatial association rules mining in two direction

In data mining from transaction DB, the relationships between the attributes have been focused, but the relationships between the tuples have not been taken into account. In spatial database, there are relationships between the attributes and the tuples, and most of the associations occur between the tuples, such as adjacent, intersection, overlap and other topological relationships. So the tasks of spatial data association rules mining include mining the relationships between attributes of spatial objects, which are called as vertical direction DM, and the relationships between the tuples, which are called as horizontal direction DM. This paper analyzes the storage models of spatial data, uses for reference the technologies of data mining in transaction DB, defines the spatial data association rule, including vertical direction association rule, horizontal direction association rule and twodirection association rule, discusses the measurement of spatial association rule interestingness, and puts forward the work flows of spatial association rule data mining. During twodirection spatial association rules mining, an algorithm is proposed to get nonspatial itemsets. By virtue of spatial analysis, the spatial relations were transferred into nonspatial associations and the nonspatial itemsets were gotten. Based on the nonspatial itemsets, the Apriori algorithm or other algorithms could be used to get the frequent itemsets and then the spatial association rules come into being. Using spatial DB, the spatial association rules were gotten to validate the algorithm, and the test results show that this algorithm is efficient and can mine the interesting spatial rules.     

具有迁移性质的Ross Macdonald系统的格子Boltzmann方法

用格子Boltzmann方法研究描述疟疾病疟蚊系统的具有迁移性质的Ross Macdonald方程, 先构建Ross-Macdonald方程的格子Boltzmann模型, 再用该模型对疟疾病疟蚊系统进行数值模拟, 并将格子Boltzmann方法与有限差分方法的数值解进行比较. 结果表明, 该方法可用于模拟疟疾病疟蚊系统.     

基于拉格朗日下界求解的炼钢-连铸生产调度方法

为提高炼钢-连铸生产效率,以加权总完工时间、作业等待惩罚总和最小化为目标,基于时间索引建立数学规划模型。在证明原问题、松弛问题、对偶问题三者最优解关系基础上,将机器容量约束松弛到目标函数中,运用次梯度算法求原问题下界,得到各炉次的开始时间序列。为消除松弛解中的有向环,采用融入启发式规则的列表调度,按照机器可用性优先原则,将炉次均衡地指派到各个加工机器上。利用GAMS/Cplex软件对18个调度算例进行测试运算,结果表明以较少的计算代价可以得到令人满意的近优解,因此本文提出的基于拉格朗日下界求解的方法对炼钢-连铸生产调度问题是可行的和有效的。     

基于海绵城市视角下的生态校园建设

生态校园建设的提出,是在微观层面上对海绵城市理论进行的积极探索,通过运用生态适应、低影响开发、弹性设计的建设原则,具体探析实现校园场地如海绵似对雨水进行调蓄管理的"海绵"设施的设计方法,从而实现校园区域内雨洪的自然积存、渗透与净化,有效改善校园及其周边的水生态和水环境。     

架空输电线路的暂态热平衡模拟

在有限元方法的基础上,根据输电线路的温升变化的过程,进行具体的分析,得出影响温升的变量,包括风速、风的偏向角度、导线的电流、周围温度、日光的作用等因素,都对输电线路从暂态到稳态的时间产生重要的影响;结果显示:风速对从变化时刻到达到稳态所需的时间起着至关重要的作用,能够使时间迅速的减少;随着风向角度的增加,达到稳态的时间迅速地减少,直到增大到60°后对时间的影响不大;暂态所需时间对载流量的变化比较敏感,当载流量发生变化时,达到稳态的时间存在巨大的变化;周围的温度以及日光的作用,对此影响几乎可以忽略。     

一种多分类器联合的网络流量分类方法

由于以往的网络流量分类方法是单一的机器学习分类方法,这种方法的总体准确率(Overall Accuracy)提高困难,而且这个问题长期存在着,鉴于此,提出了一种新的网络流量分类的方法,以机器学习分类方法为基础,联合不同分类方法,运用集成学习的思想,使用加权组合权重的方式来实现网络流量的分类;实验表明,新方法提高了总体准确率,比单一的机器学习分类方法更好。     

碱液去皮工艺对牡丹籽出油率的影响研究

以牡丹籽为研究对象,采用碱液去皮,以牡丹籽出油率为考察指标,通过单因素实验考察了碱液种类、碱液浓度、加热时间、加热温度等因素对出油率的影响,并选取主要影响因素进行正交实验;结果表明:碱液去皮各因素对牡丹籽出油率影响从大到小依次为碱液浓度、加热时间、加热温度,最佳工艺条件为氢氧化钠浓度9%、加热时间5 min、加热温度80℃,此时,牡丹籽出油率达到83.61%。