查询词典 multi-wire

Based on our former work on agent BDI logic, multi-agent cooperation logics and multi-agent cooperative problem solving process modeling, as well as the work of Baral et al. on non-monotonic temporal logics, strong and weak exceptions were introduced to Alternating-time Temporal Logic that was the primogenitor of multi-agent cooperation logics. As a result, non-monotonic alternating-time temporal logic was developed, and its syntax and semantics were proposed.

在前期关于Agent BDI逻辑、多Agent合作逻辑、多Agent合作问题求解过程建模等研究工作的基础上，借鉴Baral等人开发非单调线性时态逻辑N-LTL的技术，利用强弱例外对多Agent合作逻辑的开创性工作交互时态逻辑进行拓展，建立非单调交互时态逻辑NATL，给出其语法和语义。

Aiming at complicated computing and difficulty of being realized when extending single sensor PHD filtering to the multi-sensor case by means of probability generating function, a multi-sensor multi-target sequential particle-PHD tracking algorithm is proposed based on the thought of sequential filtering for a centralized fusion system. The algorithm chooses the importance density function with regard to every sensor, and updates sample particle of every sensor layer by layer.

当采用概率母函数将单传感器PHD滤波推广到多传感器情形时，针对计算繁琐，难于实现的问题，本文基于集中式融合系统的有序滤波思想，提出多传感器、多目标有序粒子PHD跟踪算法，该算法通过选取与各传感器相关的重要性密度函数，层层更新各传感器的采样粒子，达到多传感器多目标有序PHD跟踪。

Then the spatial index is constructed which includes not only the external approximate expression but also interior approximate expression of spatial object and is extended from tranditional index only with external approximate expression. The index structures of MR-tree and MRD-tree based on multi-approximate expression are set up with the prototype index of R-tree, and the relevant algorithms about the index of insertion, deletion and search are provided. Then, the efficiencies of constructing index based on the multi-approximate expression and window range query are analysised and compared. In addition, the several algorithms and efficiency of soving the maximum enclosed circle and maximum enclosed rectangle are discussed and analyzed during constructing index based on multi-approximate expression.

首先，论文讨论了空间数据的特点、空间数据库的关键技术以及空间对象间的拓扑、距离以及方向关系，分析了空间对象的外部和内部近似表达，然后将传统索引中只利用空间对象的外部近似扩展为既有空间对象的外部近似又有空间对象的内部近似，即以空间对象的多重近似来构建索引，并以R-tree为索引原型构建基于多重近似的MR-tree和MRD-tree索引结构，然后给出了相关索引的插入、删除及查找算法，并通过实验比较分析了基于多重近似索引与基于外部近似索引的构建效率及窗口范围查询效率。

A standard expected value model for multi-objective multi-stage transmission planning is presented to realize the transmission optimal planning with the control of line overloading risks. In this model, a constraint of overloading risks is built with expected value and standard deviation of random line active power and two objectives are given as expected value of the average power loss and discount value of the investment cost. By modeling uncertain informations with probability theory, the probabilistic DC power flow is adopted for the correlated calculations among random variables in the planning model.4 A novel multi-objective transmission planning approach that considers transmission investment profit is proposed. Requests for transmission investment profit and social welfare are involved in the proposed planning approach.

以方案总投资费用贴现值和平均网损期望值为目标函数，建立多目标多阶段输电网规划的期望值模型，以线路有功潮流过负荷随机变量的期望值和标准差构建过负荷风险约束，考虑了风险发生概率和严重程度两方面的特征，通过对不确定性信息的概率建模，利用概率直流潮流进行各随机变量的相关计算，实现了控制过负荷风险条件下的输电网优化规划。4提出考虑输电投资收益的多目标输电网规划方法，综合考虑市场参与者对输电投资收益和社会总福利的要求加热管及其对输电网规划的影响。

For multi-dimensional data visualization technique for data mining, multi-dimensional data is switched into two-dimensional graphics display through parallel coordinate, partitioning section of rotundity, multi-dimensional zoom.

用于数据挖掘的多维数据可视化技术，将多维数据通过平行坐标、圆形分段或多维缩放变换以二维图形显示。

The traditional query tree optimization methods,parallel database optimization methods based on left linear trees and right linear trees,bushy trees,and operation of the forest,have their own pros and cons,they have been more in-depth and maturity of the study.The query optimization method based on multiple weighted tree has studied its model of parallel query plan,its complexity model of parallel query plan and query optimization algorithms.The semantic query method transforms an inquiry into one or several semantic equivalence inquiries then has to find and implement a strategy to achieve a better query.Agent-based parallel database query optimization using Multi-Agent technology to automatically search the integrity constraint conditions which are related to the determined query,there for,the efficiency between several relations' joins has been greatly improved.The parallel optimization algorithm,based on genetic algorithm which is suitable for multi-joins of cluster environment,has deeply studied the relations storage options,multi-joins query optimization and query processing and other key technologies based on cluster parallel database.

传统的查询树优化方法，即基于左线性树、右线性树、浓密树、操作森林的并行数据库查询优化方法，各有优劣，对其的研究比较深入、成熟；基于多重加权树的查询优化方法，研究了其并行查询计划模型、并行查询计划的复杂性模型和查询优化算法；语义查询优化方法将一个查询变换成一个或数个语义等价的查询，进而寻找并执行这些等价查询中具有较好实现策略的一个；基于Agent的并行数据库查询优化采用Multi-Agent技术自动查找与给定查询有关的完整性约束条件，使得多个关系间连接操作的效率得到很大的提高；基于遗传算法的并行优化算法，深入研究了基于机群并行数据库中关系存储的选择、多连接查询优化和查询处理等关键技术。

Based on the above studies, a level set algorithm 4.1 for topology optimization with general objective functions, multi-constraints, multi-materials and multi-load cases is proposed.

在优化过程中，这种方法依靠材料界面运动不断地融合、分裂、生成和消除内部的孔，来改变结构中材料界面的拓扑和形状，获得最优解。

On this basis, taking into account the diversity of user interest as well as the synonymity and semantic correlation of word expression, the paper further proposed a method for user multi-interest modeling based on semantic similar network, which uses SSN to expand user feature words with its synonyms and correlative words on the knowledge level, and divides user interest into multi-categories, thus to establish a multi-interest user model.

在此基础上，考虑到用户兴趣的多样性及词语表达的同义性和语义相关性问题，本文进一步提出一种基于语义相似网络的用户多兴趣建模方法，该方法使用SSN对用户兴趣特征词进行知识层面上的扩展，联想出同义词和相关词，并将用户兴趣细分为多个类别，建立起多兴趣的用户模型。

One of the more recent areas of investigation in multi-scale analysis has been the emerging theory of multi-scale representations of signals and the development of multi-scale signal processing algorithms.

其中在多尺度分析方面，多尺度信号表示和多尺度信号处理算法的研究日益成为国内外的研究热点。

For solving Multi-objective and multi-restriction optimization problem , this paper used non-dominated ranking method, elitist preserve strategy, niche approaches, and presented an individual vector module adaptive function as wash out rule, then an improved Pareto multi-objective optimization with genetic algorithm was found.

为解决含多个目标和多约束的优化问题，本文结合了非支配排序思想、精英保留策略，小生境技术，并对传统的小生境技术中基于个体适应度的淘汰技术进行改进，提出了一种向量模适应度函数来作为淘汰准则，得到一种改进的Pareto遗传多目标优化算法。

Vishnu entered a dark fourth dimensional dream that did not support his field or continued life.

毗瑟挐进入了一个第四密度的黑暗梦想，那里并不支持他的能量场或继续生命。

Leaders and decision-making persons use it to collect the data, including the information of unit work, handing in fee, oweing fee, prepaying fee,changing and afterpaying and account transfering of joining-insurance employee, and account paying of all kinds of insurances from hospitalization insurance institutions.The collected data is picked up, organized, switched and showed to user.

该子系统主要面向各级领导、决策分析人员；从各个医疗保险经办机构和定点医疗机构采集数据，包括在各个医疗保险经办机构处理的单位办公信息，单位缴费、欠费、预缴费信息，参保职工变更信息，参保职工增减变动信息，参保职工补缴信息，参保职工帐户划拨信息：包括各定点医疗机构处理的各险种帐户支出信息，各险种的统筹金支付信息等；将采集的数据提取，组织和转换，然后展示给用户。