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县域农村居民点整理优先度分析——以哈尔滨市阿城区为例 被引量:5
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作者 汤永玲 陶军德 徐金哲 《安徽农业科学》 CAS 北大核心 2010年第30期17294-17296,共3页
以2008年黑龙江省哈尔滨市阿城区土地利用现状数据为依据,选取14个与农村居民点整理优先度评价的相关指标,利用SPSS软件对阿城区15个乡镇农村居民点整理的优先度进行了评价与排序,分析发现影响阿城区农村居民点整理优先度有整理后产出... 以2008年黑龙江省哈尔滨市阿城区土地利用现状数据为依据,选取14个与农村居民点整理优先度评价的相关指标,利用SPSS软件对阿城区15个乡镇农村居民点整理的优先度进行了评价与排序,分析发现影响阿城区农村居民点整理优先度有整理后产出收益、整理可行性的客观条件和居民主观意愿因素3个主成分。 展开更多
关键词 农村居民点整理 优先度分析 主成分分析 哈尔滨市
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农村居民点整理优先度分析——以河北省辛集市为例 被引量:8
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作者 邸少楠 许月明 《农业科技管理》 2010年第1期44-47,58,共5页
文章采用主成分分析法,选取10个评价指标,利用SPSS软件对辛集市15个乡镇农村居民点整理的优先度进行了排序,分析发现影响辛集市农村居民点整理优先度有三个主成分,即整理后的土地预期产值、整理的经济可行性条件和整理的意愿环境,并且... 文章采用主成分分析法,选取10个评价指标,利用SPSS软件对辛集市15个乡镇农村居民点整理的优先度进行了排序,分析发现影响辛集市农村居民点整理优先度有三个主成分,即整理后的土地预期产值、整理的经济可行性条件和整理的意愿环境,并且明确了各个乡镇在3个主成分上的优势和劣势。 展开更多
关键词 农村居民点整理 优先度分析 主成分分析
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基于优先度的战时维修保障力量抽调方法 被引量:3
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作者 李想 绳慧 杨英杰 《兵工自动化》 2011年第9期31-34,共4页
针对难以用传统方法准确分析维修保障力量抽调优先度的问题,提出利用蒙特卡罗模拟的方法确定各维修保障力量抽调对象的优先度。分析战时影响维修保障力量抽调方案确定的因素,介绍了维修保障力量抽调对象优先度评价指标,对战时维修保障... 针对难以用传统方法准确分析维修保障力量抽调优先度的问题,提出利用蒙特卡罗模拟的方法确定各维修保障力量抽调对象的优先度。分析战时影响维修保障力量抽调方案确定的因素,介绍了维修保障力量抽调对象优先度评价指标,对战时维修保障力量的抽调问题进行数学描述,建立基于优先度的维修保障力量抽调模型。实例计算分析结果表明:该方法客观、准确、有效,可为战时保障力量抽调决策提供理论指导。 展开更多
关键词 维修保障力量 抽调 优先度分析
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四足机器人工程特性冲突消解方法
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作者 路可欣 秦建军 高磊 《工业工程》 北大核心 2020年第3期91-98,共8页
针对机器人在设计中存在的工程特性冲突问题,提出了质量屋、发明问题解决原理(theory of the solution of inventive problems,TRIZ)与定量优先度分析的集成方法。利用质量屋对野外非结构化地形中的需求进行分析,发掘负相关工程特性,基... 针对机器人在设计中存在的工程特性冲突问题,提出了质量屋、发明问题解决原理(theory of the solution of inventive problems,TRIZ)与定量优先度分析的集成方法。利用质量屋对野外非结构化地形中的需求进行分析,发掘负相关工程特性,基于定量优先度分析法对创新方案进行遴选,运用发明问题解决原理进行工程特性冲突消解,设计出满足要求的结构创新方案。以液压四足机器人为例,验证了方法的实用性与可行性,为消解工程特性冲突提供了新思路。 展开更多
关键词 TRIZ理论 工程特性冲突 定量优先度分析 质量屋 液压四足机器人
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Long-release-interval-first real-time scheduling algorithm and its schedulability test
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作者 沈卓炜 汪芸 《Journal of Southeast University(English Edition)》 EI CAS 2006年第4期484-489,共6页
To fulfill the requirements for hybrid real-time system scheduling, a long-release-interval-first (LRIF) real-time scheduling algorithm is proposed. The algorithm adopts both the fixed priority and the dynamic prior... To fulfill the requirements for hybrid real-time system scheduling, a long-release-interval-first (LRIF) real-time scheduling algorithm is proposed. The algorithm adopts both the fixed priority and the dynamic priority to assign priorities for tasks. By assigning higher priorities to the aperiodic soft real-time jobs with longer release intervals, it guarantees the executions for periodic hard real-time tasks and further probabilistically guarantees the executions for aperiodic soft real-time tasks. The schedulability test approach for the LRIF algorithm is presented. The implementation issues of the LRIF algorithm are also discussed. Simulation result shows that LRIF obtains better schedulable performance than the maximum urgency first (MUF) algorithm, the earliest deadline first (EDF) algorithm and EDF for hybrid tasks. LRIF has great capability to schedule both periodic hard real-time and aperiodic soft real-time tasks. 展开更多
关键词 real-time scheduling schedulability test earliest deadline first maximum urgency first long release interval first
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Graph-Theoretic Approach to Network Analysis
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作者 Nabil Hassan 《Computer Technology and Application》 2013年第12期625-634,共10页
Networks are a class of general systems represented by becomes a weighted graph visualizing the constraints imposed their UC-structure. Suppressing the nature of elements the network by interconnections rather than th... Networks are a class of general systems represented by becomes a weighted graph visualizing the constraints imposed their UC-structure. Suppressing the nature of elements the network by interconnections rather than the elements themselves. These constraints follow generalized Kirchhoff's laws derived from physical constraints. Once we have a graph; then the working environment becomes the graph-theory. An algorithm derived from graph theory is developed within the paper in order to analyze general networks. The algorithm is based on computing all the spanning trees in the graph G with an associated weight. This weight is the product ofadmittance's of the edges forming the spanning tree. In the first phase this algorithm computes a depth first spanning tree together with its cotree. Both are used as parents for controlled generation of off-springs. The control is represented in selecting the off-springs that were not generated previously. While the generation of off-springs, is based on replacement of one or more tree edges by cycle edges corresponding to cotree edges. The algorithm can generate a frequency domain analysis of the network. 展开更多
关键词 UC-structure NETWORK spanning tree depth-first search spanning trees generation algorithm.
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