基于多重隐语义表示模型的旅游路线挖掘

针对用户个性化旅游行为过程的挖掘与景点推荐问题,提出多重隐语义旅游路线表示模型(MLSTR-RM).MLSTR-RM考虑不同上下文对用户旅游路线的影响,高效挖掘旅游路线中丰富的隐语义.首先确定模型中不同上下文包含的隐语义信息,然后通过负采样的方式训练模型参数,最后基于MLSTR-RM模型设计个性化景点推荐方法.在真实数据集上的实验表明文中模型的有效性.     

基于MapReduce的动态自适应蚁群算法设计与实现

针对基本蚁群算法( ACO)在处理中等规模旅行商问题( TSP)上消耗时间过长的问题,提出一种基于MapReduce的动态自适应蚁群算法( MDACO)。该算法在信息素更新策略方面动态地调整信息素挥发系数,使蚁群能够自适应地寻找较优的路径结果,而且采用MapReduce计算模型将蚁群算法中循环迭代部分并行化,最终将其部署在Hadoop云计算平台上运行。当TSP节点数为150及以上时,该算法比基本蚁群算法的运行时间平均减少43.2%,路径寻优结果也得到进一步改善。仿真结果表明,该算法在保证问题求解质量以及提高求解速度方面具有优越性。     

“武汉印象”旅游招贴设计中水墨元素的运用

以旅游招贴设计中民族特色的文化式样运用为题,分析了武汉旅游文化特色,提出了使"水"成为旅游者对武汉城市的第一感知,使"水文化"的旅游底色在城市中彰显,让武汉成为名副其实的"知音江城、人文水都"。在此基础上,以中国水墨画中水墨元素的创意构思来源为启示,论述了将中国水墨画中的水墨元素与"武汉印象"旅游招贴结合的可能性与必要性,别具一格地将武汉旅游文化特色淋漓尽致的体现出来。     

诱导信息与路径选择行为对交通流分配的影响

通过建立基于诱导信息的路径选择决策模型,设计仿真实验并采Matlab程序实现,研究结果发现：诱导信息对均衡交通流分配具有显著作用,且随着出行者对诱导信息的信任度增大,作用越大;管理者不论以系统最优还是用户均衡原则发布诱导信息都基本能实现其目标,且当出行者为完全信息型时,还能实现系统最优与用户均衡的协调．     

旅游本体的构建研究

本体是一种促使知识重用、知识共享和建模的模型。本文首先阐述了构建旅游领域本体知识库的必要性,然后利用OWLDL本体描述语言,通过定义本体类及其继承、类属性和关系、属性的约束以及本体实例的创建等步骤,完成了旅游领域本体的构建工作。     

新《旅行社条例》实施背景下的中小旅行社发展策略研究——以江西九江为例

新《旅行社条例》的实施对于旅行社业的发展意义深远、影响重大,文章探讨了新条例对九江旅行社尤其是中小旅行社的影响,以及新形势下九江中小旅行社的生存和发展对策。     

毕业论文指导平台与普通网络方式实现指导的差异

分析毕业论文的指导现状,以及基层远教机构毕业论文指导方式,进而以质量保障为目标,对基层远教机构在毕业论文指导的毕业论文指导平台与普通网络方式实现指导的差异进行比较分析,探寻网络环境下教师对远程学习者毕业指导的引领策略。     

使用Flash8.0制作播放控制甲虫运动器

使用Flash8.0制作一个甲虫运动的例子,可以通过按钮来控制运动。其中巧妙使用了绘图工具箱。通过一个引导层中的路线来控制甲虫运动的轨迹。通过脚本代码,实现各个按钮的控制作用。     

Determining optimal sensor locations in freeway using genetic algorithm-based optimization

Travel time is the most intuitive measure of effectiveness for road users and transportation agency operators. However, travel times derived from speed data measured at fixed point sensors often varies from actual travel time. This is, in part, due to the intentional positioning of sensors to avoid lane changing and/or to inadequate numbers of sensors capturing the dynamic characteristics inherent in freeway traffic flow. This paper presents an approach that optimizes the location of sensors in a freeway to support more accurate estimations of travel times than those obtained from conventionally deployed fixed point sensors. Evaluation results, under varying traffic conditions, including incidents, showed that the proposed approach produced average travel time estimation errors within 10% and performed much better than the conventional approach. Thus, the proposed approach provides a promising tool to support re-positioning of the existing non-intrusive point sensors (e.g., video sensors) or deployment of new sets of point sensors for improving travel time estimation.     

Development of new model of mold oscillator in continuous casting

To develop the hydraulic mold oscillator in continuous casting machine, the guiding mechanism of mold was studied. The main topics of this study were to design the guiding mechanism of mold which oscillates to prevent the sticking and to reduce the friction resistant force between the solidified shell and mold on casting. We studied many guiding types to analyze the features of worldwide mold oscillator and developed the new model of hydraulic mold oscillator. On the basis of the mold oscillating experiment, the capability of guiding system was proofed by the position error measuring system. The experiment was carried out up to 50–500 cpm frequencies and 2–10 mm stroke in the variable waveform and the casting results was analyzed by the oscillation mark of slab surface which was formed unavoidably by oscillation.