基于隐马尔科夫模型的VLCC目的港预测

超大型油船(very large crude carrier,VLCC)目的港预测对海运原油流向预测以及货源地未来运力估计具有重要作用。针对VLCC的AIS目的港信息存在缺失、更新不及时、不准确等现象,提出一种基于隐马尔科夫模型的VLCC目的港预测方法。分析船舶AIS轨迹数据,得到油船历史停靠港口序列;根据VLCC轨迹提取习惯航路,以航路中的交叉点为依据设置观测线;利用船舶航行轨迹数据判断船舶是否经过观测线以及经过观测线的方向,对不同方向分别计算船舶在挂靠港间的转移概率矩阵和船舶挂靠港与观测线间的输出概率矩阵,建立VLCC目的港预测模型并进行预测。研究结果表明：在大多数情况下VLCC目的港预测的准确率可以达到70%以上;航线越固定、运行越规律的船舶,预测准确率越高;船舶越靠近目的港,预测越准确;重载状态下的船舶目的港预测更准确。     

一种在轨海上多运动舰船目标检测和跟踪方法

传统遥感卫星图像处理采用在地面进行目标检测和跟踪处理的模式,卫星将拍摄到的图像数据下传至地面数据处理中心,由地面数据处理系统对接收到的遥感图像数据进行目标检测和跟踪。然而,随着遥感图像分辨率的不断提高,需要下传的数据量增大,导致星地数据传输的时间大大增加,最终造成目标检测和跟踪的时效性降低。针对上述问题,提出一种基于多特征量判别的Canny边缘检测和联合概率数据关联的在轨海上多运动舰船目标检测和跟踪方法。将该方法利用中国科学院微小卫星创新研究院的高分微纳卫星实测数据在模拟星载的嵌入式开发平台上进行验证,结果表明该方法能够在轨对海上多运动舰船目标进行快速、准确的检测和跟踪。     

数据库营销及其在旅游企业的应用

随着旅游市场竞争的不断加剧,旅游企业必须有强大的营销手段才能生存和发展。介绍了数据库营销的概况和数据挖掘的常用技术,讨论了旅游企业实施数据库营销的必要性及应注意的问题。     

Understanding the track and field sprint start through a functional analysis of the external force features which contribute to higher levels of block phase performance

This study aimed to identify the continuous ground reaction force (GRF) features which contribute to higher levels of block phase performance. Twenty-three sprint-trained athletes completed starts from their preferred settings during which GRFs were recorded separately under each block. Continuous features of the magnitude and direction of the resultant GRF signals which explained 90% of the variation between the sprinters were identified. Each sprinter’s coefficient score for these continuous features was then input to a linear regression model to predict block phase performance (normalised external power). Four significant (p < 0.05) predictor features associated with GRF magnitude were identified; there were none associated with GRF direction. A feature associated with greater rear block GRF magnitudes from the onset of the push was the most important predictor (β = 1.185), followed by greater front block GRF magnitudes for the final three-quarters of the push (β = 0.791). Features which included a later rear block exit (β = 0.254) and greater front leg GRF magnitudes during the mid-push phase (β = 0.224) were also significant predictors. Sprint practitioners are encouraged, where possible, to consider the continuous magnitude of the GRFs produced throughout the block phase in addition to selected discrete values.     

Comfort assessment of running footwear: Does assessment type affect inter-session reliability?

Assessing comfort of running footwear reliably is challenging. The purpose of this study was to compare the intra-rater reliability between different assessment types, to calculate intra-individual reliability scores and to evaluate the effect of rater selection based on individual reliability scores on group level reliability. Three assessment types: ranking, Visual Analogue Scale (VAS), and Likert Scale (LS) were provided twice in six separate sessions among 30 participants, who assessed comfort of five shoes after treadmill running. Spearman's rho provided an evaluation of inter-session relative reliability and typical error as a measure of absolute reliability for each assessment type. Ranking (r?=?0.70, 95% confidence interval [CI] 0.61–0.78) yielded the highest relative reliability for overall comfort, followed by VAS (r?=?0.67, 95% CI 0.56–0.75) and LS (r?=?0.63, 95% CI 0.52–0.72), with large-scale overlaps of CIs between assessment types. The same order of assessment types was found for the percentage of reliable raters (r?≥?0.7) with 60% in ranking scale, 47% in VAS and 37% in LS. Forming subgroups corresponding to the intra-individual reliability substantially increased group level reliabilities. Based on measures of relative reliability, an extreme reduction in resolution as provided by the ranking from pairwise comparisons seems to be a valuable tool in footwear comfort assessments if assessment time is of minor importance. No preference can be provided for the two investigated rating scales. Besides the assessment type, a selection of the best raters in additional reliability checks seems to be a prerequisite for further comfort-related studies.     

科学数据共享FAIR原则:背景、内容及实践

[目的/意义]FAIR原则已经成为科学数据管理的国际准则,研究该原则的理念内涵将有助于我国科学数据管理工作的布局与实践。[方法/过程]基于文献调研和网络调研,首先从时代特性角度分析了FAIR原则的产生背景;然后透过关键语词详细解析了可发现、可访问、可互操作、可重用4项子原则的具体内容;最后从学术会议、研究成果、科学计划、数据出版四个方面介绍了FAIR原则的研究与实践进展。[结果/结论]文章认为,数据资源持续积累、科学研究范式变革、数据共享全球行动为FAIR原则产生奠定了背景,4项子原则及其15条具体原则层层递进,共同描绘了FAIR体系。未来的科学数据共享系统将朝着融合化、智能化、生态化方向发展。     

基于 GML 的多源异构数据交换技术研究

以滇池（湖泊）流域生态建设与生态文化数字化信息系统开发为背景,在研究多源异构数据交换关键技术的基础上,利用标准的 GML 数据格式对 SHP 和 MIF 两种不同格式的空间数据进行集成应用,解决了传统地理信息系统存在交互性差的问题,从而实现对空间数据的互操作。实验验证表明,GML 空间数据格式能准确表达两种异构数据的集成结果,从而确定 MIF 和 SHP 两种数据格式成功集成到 GML 框架。     

数据场体视化方法综述

数据场体视化使人们可以从一幅图象里感受到数据整体的信息．本文研究了大量体视化方面文献后,总结了体视化的研究方法,并提出了当前的研究热点及今后的研究方向．     

我国区域技术创新能力及其经济效应实证分析

采用＂纵向拉开档次法＂,对2009年中国八大经济综合区的技术创新能力进行了综合测度,结果表明我国技术创新能力整体水平偏低,区域间的差异也比较大。在此基础上,利用面板数据模型分别分析了八大区域间以及东部沿海区域和大西北区域内部各省域技术创新的经济效应,进而提出了相关的政策建议。