考虑最短距离作业的港口拖轮作业调度优化

为了合理调度拖轮作业,有效提高拖轮的利用率,减少船舶等待时间,针对拖轮作业特点,用多处理器任务调度理论分析了拖轮作业调度问题.在考虑拖轮最短距离作业的前提下,以最小化最大完工时间为优化目标建立了拖轮作业调度模型.采用演化策略算法对拖轮作业调度问题进行优化,提出了一种基于轮盘赌概率分配的编、解码方法,并设计了三点交叉互换的重组算子和个体基因交叉互换的变异算子.算例结果表明:用演化策略算法的优化结果优于仿真结果和粒子群算法的计算结果.采用实数编码时,通过优化算法得到的最大完工时间最小值为356 min,比仿真结果减少了117 min;而采用整数编码时,最大完工时间最小值为369 min,比仿真结果减少了104 min.验证了最短距离作业原则的有效性.     

飞艇在执行多样化军事任务中的作用

介绍了飞艇的优势及其研发动态,阐述了面向多样化军事任务需求赋予飞艇的新用途:实现门到门的运输,可用于支援后勤运输指挥站或指挥中继,用来全天候监视搜索和战场通讯保障等.飞艇的应用有可能在短期内解决大部队、重装备远距离的快速投送难题.     

高职应用英语学生分层教学的实践与研究

现代教育崇尚以学习者为中心的教学模式。然而,由水平参差不齐的学生构成的班级教学仍然使我们的教学难以满足所有学生的需要。本实验的目的在于研究分层教学能否满足学生的要求,增强学生的学习动机,提高学习成绩。实验的结果是实施分层教学三个月后,学生学习商务英语的动机有所增强,学生的英语成绩有所提高。本文运用影响动机的因素以及第二语言习得的条件进行讨论实验的结果。     

海外撤侨应急运输特点分析

以利比亚撤侨为切入点,探析了海外撤侨应急运输的特点规律,提出把撤侨应急运输纳入军交运输职能范畴具有代表政府行为、反应迅速、执行任务可靠性高等比较优势。我军今后应紧密配合国家的外交政策,积极参与到国家海外撤侨应急机制建设中来。     

The Application of RFID Technologies in Construction

RFID technologies have advanced greatly and deployed successfully in many industry sectors in recent years. Construction industry could benefit from the applications of RFID technologies but as yet has not found sufficient application areas. This project gives a comprehensive awareness of the RFID technologies, which focus on the investigation on the UK construction industry. The current status of RFID in construction and its potentials are specified in the analysis of questionnaires and case studies. Finally, basing on the investigations, some further tasks in developing RFID technologies are carried, including some recommendations, for the construction industry.     

Measuring risk aversion to guide transportation policy: Contexts,incentives, and respondents

Road pricing may provide a solution to increasing traffic congestion in metropolitan areas. Route, departure time and travel mode choices depend on risk attitudes as commuters perceive the options as having uncertain effects on travel times. We propose that Experimental Economics methods can deliver data that uses real consequences and where the context can be varied by the researcher. The approach relies on the controlled manipulation of contexts, similar to what is done in the Stated Choice approach, but builds in actual consequences, similar to the Revealed Preference approach. This paper investigates some of the trade-offs between the cost of conducting Experimental Economics studies and the behavioral responses elicited. In particular, we compare responses to traditional lottery choice tasks to the route choice tasks in simulated driving environments. We also compare students (a low cost convenient participant pool) to field participants recruited from the driving population. While we see initial differences across our treatment groups, we find that their risk taking behavior converge with minimal repetition.     

Multiple mental tasks classification based on nonlinear parameter of mean period using support vector machines

Mental tusk classification is one of the most important problems in Brain-computer interface. This paper studies the classification of five-class mental tusks. The nonlinear parameter of mean period obtained from frequency domain information was used as features for classification implemented by using the method of SVM （support vector machines）. The averaged classification accuracy of 85. 6% over 7 subjects was achieved for 2-second EEG segments. And the results for EEG segments of 0.5s and 5.0s compared favorably to those of Garrett＇s. The results indicate that the parameter of mean period represents mental tusks well for classification, Furthermore, the method of mean period is less computationally demanding, which indicates its potential use for online BCI systems.     

城市轨道交通乘务夜早任务搭配模型研究

乘务夜早任务连乘是我国城市轨道交通(以下简为"城轨")乘务普遍采用的轮转策略。编制良好的乘务夜早任务搭配方案可保证乘务员工作的均衡性和安全性。根据城轨乘务夜早任务连乘需求,建立了相应的最优分配模型(NMC模型),设计了夜早连乘任务综合费用函数,并结合传统的匈牙利算法对NMC模型进行了求解。以某地铁线路为例,进行了算例分析。结果表明,NMC模型所编制的夜早连乘方案能够满足现场需求,可提高乘务夜早任务搭配的效率。     

甩箱模式下考虑多箱型任务组合的集卡调度优化

针对甩箱模式下港口堆场与内陆腹地间多箱型任务组合的集卡调度问题，本文根据运输过程中集卡剩余箱位随集卡执行任务动态变化的特点，考虑不同箱型任务需求与集卡当前状态的匹配，以集卡的启用、行驶及等待过程的成本最小化为目标，建立混合整数规划模型。并根据模型特点设计基于不可行弧过滤策略的蚁群算法，以提升算法性能。利用Solomon标准数据集 随机生成任务类型比例和规模大小不同的算例进行数值试验，试验结果证明了模型的正确性与算法的稳定性和有效性，进而对比了甩箱模式与传统模式下的总成本。结果表明：相较于传统模式，甩箱模式下集卡的运输总成本平均减少了45.10%；当任务规模越大时，两种模式之间的成本差距越大，显示了甩箱模式与港口多箱型集疏运任务运输作业结合的显著优势。     

三种任务类型对大学生英语写作的影响

本文以写作产出模式为基础,以广西师范大学非英语专业的学生为研究对象,研究根据同一题材编写的三种不同写作任务类型（个人写作任务、话题写作任务、概要写作任务）对非英语专业学习者在英语写作产出的准确度和复杂度上的影响。结果表明：任务类型显著影响三项写作任务语言产出的准确度和复杂度。个人任务准确度显著高于话题任务和概要任务;概要任务复杂度显著高于个人任务和话题任务。最后本文讨论了研究结果对促进写作教学的现实意义。