考虑天然气混氢的园区综合能源系统电制氢优化配置

电制氢和天然气混氢技术在促进可再生能源消纳、降低系统碳排放量方面具有良好的理论研究和工程应用前景。面向含高比例可再生能源的园区综合能源系统,提出一种计及天然气混氢及跨季节存储的电制氢优化配置方法。首先梳理了含氢园区综合能源系统的运行框架和能量流动关系,建立园区内部能源生产、转换与存储设备的数学模型,其次以设备的年化投资成本、园区综合能源系统的年度运行成本和碳交易成本最优为目标,提出电制氢优化配置模型。最后通过算例分析表明电制氢及天然气混氢技术的引入可提升可再生能源的消纳能力,降低系统的整体经济成本和碳排放量,并分析了电解槽投资成本、混氢体积分数上限以及经济性和低碳性成本权重系数变化对规划运行结果的影响。关键词：园区综合能源系统;电制氢;天然气混氢;碳交易;跨季节储氢;优化配置 中图分类号：TM732     

Weakly supervised temporal action localization with proxy metric modeling

Temporal localization is crucial for action video recognition. Since the manual annotations are expensive and time-consuming in videos, temporal localization with weak video-level labels is challenging but indispensable. In this paper, we propose a weakly-supervised temporal action localization approach in untrimmed videos. To settle this issue, we train the model based on the proxies of each action class. The proxies are used to measure the distances between action segments and different original action features. We use a proxy-based metric to cluster the same actions together and separate actions from backgrounds. Compared with state-of-the-art methods, our method achieved competitive results on the THUMOS14 and ActivityNet1.2 datasets.     

Exploring the tidal effect of urban business district with large-scale human mobility data

Business districts are urban areas that have various functions for gathering people, such as work, consumption, leisure and entertainment. Due to the dynamic nature of business activities, there exists significant tidal effect on the boundary and functionality of business districts. Indeed, effectively analyzing the tidal patterns of business districts can benefit the economic and social development of a city. However, with the implicit and complex nature of business district evolution, it is non-trivial for existing works to support the fine-grained and timely analysis on the tidal effect of business districts. To this end, we propose a data-driven and multi-dimensional framework for dynamic business district analysis. Specifically, we use the large-scale human trajectory data in urban areas to dynamically detect and forecast the boundary changes of business districts in different time periods. Then, we detect and forecast the functional changes in business districts. Experimental results on real-world trajectory data clearly demonstrate the effectiveness of our framework on detecting and predicting the boundary and functionality change of business districts. Moreover, the analysis on practical business districts shows that our method can discover meaningful patterns and provide interesting insights into the dynamics of business districts. For example, the major functions of business districts will significantly change in different time periods in a day and the rate and magnitude of boundaries varies with the functional distribution of business districts.     

Label distribution learning for scene text detection

Recently, segmentation-based scene text detection has drawn a wide research interest due to its flexibility in describing scene text instance of arbitrary shapes such as curved texts. However, existing methods usually need complex post-processing stages to process ambiguous labels, i.e., the labels of the pixels near the text boundary, which may belong to the text or background. In this paper, we present a framework for segmentation-based scene text detection by learning from ambiguous labels. We use the label distribution learning method to process the label ambiguity of text annotation, which achieves a good performance without using additional post-processing stage. Experiments on benchmark datasets demonstrate that our method produces better results than state-of-the-art methods for segmentation-based scene text detection.     

整车道路模拟试验控制技术

结合CIMC整车试验室建设,重点介绍整车道路模拟试验系统控制系统构成、控制技术、工作原理及应用。     

基于MapX的电磁环境态势显示系统研究

现代战争条件下,电子对抗与反对抗日趋激烈,各种电子装备往往采用调制复杂、参数多变的信号形式,导致战场空间的电磁环境信号空前复杂、密集且相互交迭,因此有效地显示战场电磁环境能为指挥员准确把握战场态势和作战主动权打下坚实基础。本文首先介绍了MapX控件的主要特点和功能,然后以电子地图为基础,分析了态势显示系统的组成结构和系统运行流程,其中重点介绍了系统的功能模块设计,并基于MapX控件给出了实现方法,最后以VC为开发平台,研究提出了系统的实现策略。     

动态的网络实时连接控制机制

动态网络连接控制(DNCC)试图根据系统的动态安全状态特征对计算机接入网络的行为进行控制,从而保证接入计算机在网络连接过程中的持续安全性,防止一次性安全认证后接入计算机发生安全状态变化给系统带来的可能破坏.DNCC采取系统安全策略作为计算平台安全状态评价指标,准确地反映了计算平台状态的动态变化特征,克服了目前网络接入控制主流技术中的安全状态保证瞬时性缺点.统计和分析结果表明,DNCC具有良好的性能和实现可行性.     

面向数字媒体技术专业的数字化学习平台建设

数字媒体技术专业通过数字化学习平台,为教师和学生、学生与学生、学生与教学资源间的互动提供了一种新的更有效的交互方式,也让整个教育方式更加高效。结合数字媒体技术专业特点和数字化学习平台应用优势,对数字媒体专业数字化学习平台建设进行系统阐释。     

一种试卷分析及数据挖掘系统的开发

应用统计学和数据挖掘技术,根据学生的试卷成绩进行分析,得出面向试题本身的一般质量统计指标,进行正态分布判断并输出成绩分布图,同时可以根据分析结果给出试卷评语.还可以面向教师出题情况进行分析,判断教师是否有漏题,违纪提分的可能性,并可以对一个班级不同课程,不同班级同一课程进行比较.同时利用数据挖掘技术,对学生成绩进行修补,异常成绩发现,分类,聚类,关联规则挖掘等.文中详细论述了试卷分析中各项技术的意义及实现方法.     

基于DMSP/OLS影像的城市化水平遥感估算方法

提出了一种利用DMSP/OLS夜间稳定灯光影像定量估算区域城市化水平的方法。首先,从美国国防气象卫星计划的线性扫描业务系统(Defense Meteorological Satellite Program/Operational Linescan System,DM-SP/OLS)获取的夜间稳定灯光数据中提取了夜间灯光综合指数(Night Light Compositive Index,NLCI)。然后建立了基于社会经济统计数据的城市化水平指数(Urbanization Level Index,ULI)与NLCI间的统计学模型,并据此对中国大陆地区级尺度的城市化水平进行了估算。结果表明,ULI与NLCI间存在明显的线性关系,NLCI能较好地反映城市化水平,根据该模型得到的其他年份ULI估算值与基于统计数据的ULI实际值具有较强的一致性,故模型具有一定的可靠性和普适性。本文的创新之处在于对前人提出的NLCI公式进行了改进,并提出了公式中最优参数的搜寻算法。