旅游地品牌特征塑造初探--以香格里拉旅游品牌为例

香格里拉是一个公共品牌，是系列旅游产品的组合，香格里拉品牌具有鲜明的特征，其特征通过品牌的个性和定位体现，品牌的个性是通过文化性和奇特性表现，信念性是品牌的定位，具体分析了香格里拉品牌的资源本体的脆弱性，旅游产品开发层次较低，品牌崇信度不确定性和品牌定位不准等问题，最后对香格里拉品牌特征的塑造，提出了建议；树立品牌意识，加强品牌管理；加强品牌定位－突出个性，构筑品牌的保护圈，实现品牌特征的接触点。     

成人英语学习动机行为调查与教学对策研究

动机是激励人们行动的心理动因.英语学习动机是推动英语学习的内部动因,成人英语学习动机是复杂的.了解他们的英语学习动机特点有利于教师改进教学手段和策略,激发与培养其学习的主动性和积极性,发挥其学习潜能,从而提高英语学习的效果.运用定量研究的方法,在年轻干部学员中进行学习动机调查,分析了其学习动机的特点,并提出成人英语教学的对策.     

Numerical and Experimental Analysis of A Ducted Propeller Designed by A Fully Automated Optimization Process Under Open Water Condition

A fully automated optimization process is provided for the design of ducted propellers under open water conditions, including 3D geometry modeling, meshing, optimization algorithm and CFD analysis techniques. The developed process allows the direct integration of a RANSE solver in the design stage. A practical ducted propeller design case study is carried out for validation. Numerical simulations and open water tests are fulfilled and proved that the optimum ducted propeller improves hydrodynamic performance as predicted.     

多匹配策略融合的无人机影像匹配方法

针对AKAZE算法在无人机影像匹配过程中存在的匹配精度低和稳定性较差问题,本文提出一种基于多匹配策略融合的改进影像匹配方法。该方法首先对影像降采样并利用AKAZE算法检测多尺度特征。然后采用一种稳定的RootSIFT描述符进行特征描述。其次,融合最近邻距离比值、双向匹配和余弦相似度约束匹配策略进行特征匹配以降低误匹配率。最后,采用随机抽样一致性(RANSAC)算法确定最终的特征对应关系,并求得几何变换模型。实验结果表明,该方法在获得更多正确匹配点对的同时具有较高的匹配正确率和精度,能够更好适用于无人机影像匹配。     

基于图分割的可变比例尺地图分幅回溯算法

总结了地图分幅需遵循的原则,并针对地图集中可变比例尺的分幅,将其定义为基于约束条件的图分割问题,用最小生成树(minimum spanning tree,MST)将制图区域关联起来,基于回溯算法对MST裁剪实现地图集的分幅。实验结果表明,所提出的方法能较好顾及地图集分幅的相关原则,满足地图集制作的要求。同时,利用该方法设计的地图集分幅工具已成功应用于《武汉市汉阳地区地名图集》等的制作,有效提高了地图设计人员的工作效率。     

基于最优加权组合的甘肃金川矿14行风井变形预测

金川14行风井直接关系到矿山的安全生产。本文建立了3种单一预测模型,并根据最优加权组合原理得到了最优加权组合预测模型。最优加权组合预测模型包含了单一模型的有效信息,提高了变形的预测精度。最优加权组合预测模型的模型精度与权重分配与单一模型的选取有关。作为一种短期预测模型,得出金川14行风井在近两个半年会保持稳态变形,不会出现大的突变。     

后金融危机时期我国大型勘察设计企业的发展战略研究

2007年爆发的金融危机,给我国勘察设计企业带来了深刻的影响和变革。在后金融危机时代到来之际,大型勘察设计企业作为行业的龙头力量,应该吸取经验和教训,在发展方向上进行深入研究,积极进行战略调整,通过资源整合、优化产业结构等多种方式实施企业的发展转型,增强企业的综合竞争实力和生存能力,使企业能够抵御各种经济风险,实现基业长青、可持续发展的根本目的。     

张掖市湿地资源调查与保护对策

在对张掖市湿地资源进行全面调查的基础上,分析了湿地资源的特点以及存在的问题,并提出提高全社会湿地保护意识,加强湿地保护法规体系建设,逐步完善湿地自然保护和监测体系,强化湿地保护管理科技支撑,建立健全各级湿地保护管理机构,坚持保护与开发协调发展等对策。     

Evaluation of Three Harvest Control Rules for Bigeye Tuna（Thunnus obesus） Fisheries in the Indian Ocean

The stock of Bigeye tuna（Thunnus obesus） in the Indian Ocean supports an important international fishery and is considered to be fully exploited. The responsible management agency, the Indian Ocean Tuna Commission（IOTC）, does not have an explicit management decision-making framework in place to prevent over-fishing. In this study, we evaluated three harvest control rules, i） constant fishing mortality（CF）, from 0.2 to 0.6, ii） constant catch（CC）, from 60000 to 140000 t, and iii） constant escapement（CE）, from 0.3 to 0.7. The population dynamics simulated by the operating model was based on the most recent stock assessment using Stock Synthesis version Ⅲ（SS3）. Three simulation scenarios（low, medium and high productivity） were designed to cover possible uncertainty in the stock assessment and biological parameters. Performances of three harvest control rules were compared on the basis of three management objectives（over 3, 10 and 25 years）： i） the probability of maintaining spawning stock biomass above a level that can sustain maximum sustainable yield（MSY） on average, ii） the probability of achieving average catches between 0.8 MSY and 1.0 MSY, and iii） inter-annual variability in catches. The constant escapement strategy（CE=0.5）, constant fishing mortality strategy（F=0.4） and constant catch（CC=80000） were the most rational among the respective management scenarios. It is concluded that the short-term annual catch is suggested at 80000 t, and the potential total allowable catch for a stable yield could be set at 120000 t once the stock had recovered successfully. All the strategies considered in this study to achieve a ‘tolerable＇ balance between resource conservation and utilization have been based around the management objectives of the IOTC.     

Evaluation of three harvest control rules for Bigeye Tuna (Thunnus obesus) fisheries in the Indian Ocean

The stock of Bigeye tuna(Thunnus obesus) in the Indian Ocean supports an important international fishery and is considered to be fully exploited. The responsible management agency, the Indian Ocean Tuna Commission(IOTC), does not have an explicit management decision-making framework in place to prevent over-fishing. In this study, we evaluated three harvest control rules, i) constant fishing mortality(CF), from 0.2 to 0.6, ii) constant catch(CC), from 60000 to 140000 t, and iii) constant escapement(CE), from 0.3 to 0.7. The population dynamics simulated by the operating model was based on the most recent stock assessment using Stock Synthesis version Ⅲ(SS3). Three simulation scenarios(low, medium and high productivity) were designed to cover possible uncertainty in the stock assessment and biological parameters. Performances of three harvest control rules were compared on the basis of three management objectives(over 3, 10 and 25 years): i) the probability of maintaining spawning stock biomass above a level that can sustain maximum sustainable yield(MSY) on average, ii) the probability of achieving average catches between 0.8 MSY and 1.0 MSY, and iii) inter-annual variability in catches. The constant escapement strategy(CE=0.5), constant fishing mortality strategy(F=0.4) and constant catch(CC=80000) were the most rational among the respective management scenarios. It is concluded that the short-term annual catch is suggested at 80000 t, and the potential total allowable catch for a stable yield could be set at 120000 t once the stock had recovered successfully. All the strategies considered in this study to achieve a ‘tolerable' balance between resource conservation and utilization have been based around the management objectives of the IOTC.