基于移动趋势的轨迹隐私保护研究综述

移动设备的普及为基于位置的服务应用带来新的发展机遇,但在使用LBS时造成的轨迹隐私泄露问题成为LBS普及的隐患.轨迹泛化法是一种轨迹隐私保护技术,在保护轨迹隐私的同时还可提高服务质量.基于组的轨迹隐私保护技术特点,对不考虑移动趋势的轨迹泛化法进行分析,总结基于移动趋势的轨迹隐私保护方法并对未来研究方向进行展望.     

What makes learners a good fit for hybrid learning? Learning competences as predictors of experience and satisfaction in hybrid learning space

Compared with fully face-to-face or online learning environments, implementation of hybrid learning spaces is costly given the spaces making all learning options available for learners. Therefore, decisions on investments in hybrid learning are critical for institutions. Satisfaction and experience of learners is one of the important indicators for assessing the cost-effectiveness of learning space implementation; thus, predictions of learners' satisfaction and experience can inform institutions' decision making on learning space investments. Moreover, learning competences are found correlated with learners' satisfaction and experience in general and e-learning settings. Therefore, the present study aimed at exploring predictive learning competences for hybrid learners' experience and satisfaction. A hybrid learning space was built upon a proposed model at Shanghai Open University. 211 students’ learning competences and their satisfaction and experience in the hybrid learning space were examined. The results showed that except cognitive engagement competence, most predictive competences were not significantly associated with hybrid learners' satisfaction and experience. The findings indicated that since hybrid learning keeps all options available, to experience satisfying learning, students need not have certain competences but cognitive engagement competence, which is correlated with learners' cognitive ability to figure out the right mix of learning options.     

地质超前预报系统在栋梁坡隧道施工中的应用

基于地震反射波法超前预测系统的原理及主要技术手段,以栋梁坡隧道工程为实例,针对隧道复杂的地质条件,施工过程中将超前地质预报和地质素描调查相结合,先对隧道全段范围内地形、地层岩性等进行全面核查,然后结合核查结果运用地震反射波法预报掌子面前方的节理裂隙发育情况,围岩完整性等地质信息.开挖后验证情况与预测结果基本一致,为后续...     

河西地区内陆河流域地表水资源及动态趋势分析

河西地区是甘肃省主要经济地区之一，是国家下世纪初大规模开发大西北的纽带与依托。河西地区未来的经济发展规模，在很大的程度上取决于本地区水资源的承载能力。本文对河西地区内陆河流域天然地表水资源进行了计算和评价；对天然地表径流的变化特征进行了分析；并对河西地区>河西地区、内陆河流域、地表水资源、变化特征、动态过程、趋势预测     

基于SPOT VEGETATION数据的中国植被覆盖时空变化分析

本文基于1998年-2007年中国地区长时间序列SPOT_Vegetation植被指数数据集,应用RS与GIS技术,采用最大值合成、一元线性回归变化斜率法和Mann-Kendall非参数检验法对中国各大自然区划(3个大类、7个中类)的植被覆盖状况做了时空变化分析。结果表明:基于SPOT_Vegetation植被指数数据可以很好的在宏观上监测中国的植被覆盖时空变化,1998年-2007年,中国整体上植被活动在增强,并向好的方向改善,特别是东部季风区域中华中、华南湿润亚热带地区,东北湿润、半湿润温带地区和华北湿润、半湿润暖温带地区植被覆盖显著上升。但局部在却在恶化,西北干旱区域特别是内蒙古中西地区产生严重的恶化。近1/3国土面积植被覆盖基本不变。且斜率变化法和Mann-Kendall非参数检验法可以相互印证,对中国的植被覆盖状况,时空变化有着基本一致的判断。     

对我国90年代年度地震预报的评估

采用R评分方法 ,对中国地震局 1 990到 1 998年的年度地震预报进行了统计和评估 .随机猜测预报R为 0 ,完全准确预报R为 1 .我国 90年代的年度预报R评分平均为 0 .1 84.如果把地震局实际预报与选取最大背景概率地区预报相结合 ,可以使R评分提高到 0 .336 .统计表明 ,中国年度地震预报对 5级以上地震的预报水平还不高 ,特别是在人烟稀少、台站缺乏的高地震背景概率区 ,预报效果较低 ;但在人口密集、经济发达的重点监测地区 ,中国地震局年度预报高于随机预报 ,实际预报取得了一定效果 .     

一个新的大样本ENSO集合预报系统的发展与检验

详细介绍了一个新的大样本集合预报系统. 为了减小ENSO(厄尔尼诺-南方涛动)预报中的预报不确定性,该集合预报系统首先基于一个中等复杂程度的耦合模式,利用集合卡尔曼滤波资料同化方法同化有效的海洋观测资料为集合预报系统提供集合初始场;同时,一个发展的用于12个月预报的一阶线性马尔可夫(Markov)随机误差模式被嵌套到集合预报系统中来模拟模式不确定性. 基于1992年11月~2008年10月100个样本的集合回报试验,从确定性预报技巧和概率预报技巧2个方面对集合预报系统的预报水平进行了检验. 该集合预报方法能够很有效地将传统的确定性预报扩展到概率预报领域,且检验结果表明,预报样本均值的预报水平要优于单一的确定性预报. 对于概率预报而言,集合预报样本能够很好地跟随观测的变化,并且能够提供单纯确定性预报所不能够提供的额外信息.     

Prediction of stress levels in the workplace using surrounding stress

Occupational stress has a significant adverse effect on workers’ well-being, productivity, and performance and is becoming a major concern for both individual companies and the overall economy. To reduce negative consequences, early detection of stress is a key factor. In response several stress prediction methods have been proposed, whose primary aim is to analyse physiological and behavioural data. However, evidence suggests that solutions based on physiological and behavioural data alone might be challenging when implemented in real-world settings. These solutions are sensitive to data problems arising from losses in signal quality or alterations in body responses, which are common in everyday activities. The contagious nature of stress and its sensitivity to the surroundings can be used to improve these methods. In this study, we sought to investigate automatic stress prediction using both surrounding stress data, which we define as close colleagues’ stress levels and the stress level history of the individuals. We introduce a real-life, unconstrained study conducted with 30 workers monitored over 8 weeks. Furthermore, we propose a method to investigate the effect of stress levels of close colleagues on the prediction of an individual’s stress levels. Our method is also validated on an external, independent dataset. Our results show that surrounding stress can be used to improve stress prediction in the workplace, where we achieve 80% of F-score in predicting individuals’ stress levels from the surrounding stress data in a multiclass stress classification.     

黄河流域水-能源-粮食耦合机理及协调发展时空演变

黄河流域面临的水、能源和粮食问题非常突出,研究黄河流域水-能源-粮食耦合协调发展有助于推动黄河流域的生态保护和高质量发展.本文首先分析黄河流域水-能源-粮食耦合协调发展机理,构建相应的耦合协调发展评价指标体系;在此基础上,运用耦合协调度模型测算了2008-2018年黄河流域水-能源-粮食耦合协调发展状况,并分析其时间和...     

中国智能网联汽车产业人才需求预测研究

为科学预测智能网联汽车（ICV）人才需求,采用定性与定量研究相结合的方法,确定ICV产业人才的结构,明确以研发技术人才为预测对象,构建分层级多指标的ICV人才需求预测模型,基于情景分析,得出未来5年ICV产业人才的需求量,并分析ICV产业不同类型研发技术人才以及不同业务模块人才的需求差异。