MEOS海上光电监视系统

主要介绍 MEOS海上光电监视系统的组成方案和系统工作原理、系统总体方案设计思想。同时还讨论了目标特性与作用距离之间的关系 ,给出试验所获得的主要技术指标 ,总结了系统主要技术特点。     

Video and seismic observations of Strombolian eruptions at Erebus volcano,Antarctica

Between 1986 and 1990 the eruptive activity of Erebus volcano was monitored by a video camera with on-screen time code and recorded on video tape. Corresponding seismic and acoustic signals were recorded from a network of 6 geophones and 2 infrasonic microphones. Two hundred Strombolian explosions and three lava flows which were erupted from 7 vents were captured on video. In December 1986 the Strombolian eruptions ejected bombs and ash. In November 1987 large bubble-bursting Strombolian eruptions were observed. The bubbles burst when the bubble walls thinned to ∼ 20 cm. Explosions with bomb flight-times up to 14.5 s were accompanied by seismic signals with our local size estimate, “unified magnitudes” (m_u), up to 2.3. Explosions in pools of lava formed by flows in the Inner Crater were comparatively weak.     

Hydrochemical and bacteriological features of the groundwater: southern border of the Rharb basin (Morocco) / Caractérisation hydrochimique et bactériologique des eaux souterraines: bordure méridionale du bassin du Rharb (Maroc)

Abstract

The western reservoirs represent the principal groundwater system in Morocco. Demographic, industrial and agricultural developments during the last decade have markedly altered groundwater quality. The Mamora coastal aquifer system is among the Atlantic systems which are most heavily threatened by pollution. Agricultural and industrial activities, and rapid urban growth contribute to the pollution of the groundwater. Contamination transport is facilitated by a high permeability of the aquifer formations. In order to assess the actual groundwater quality of the Mamora aquifer and to understand the influence of the factors generating the pollution, an extensive multidisciplinary research programme is in progress, with hydrochemistry and microbiology playing essential roles. The present paper concerns the spatial distribution of physico-chemical parameters in the groundwater, subjected to domestic, industrial and agricultural pollution. Fifty-seven samples were analysed for several parameters (Ca²⁺, Mg²⁺, Na⁺, K⁺, Cl^?, SO₄ ^2?, HCO₃ ^?, NO₃ ^?, pH, electrical conductivity and temperature). The microbiological analysis of 143 samples reveals the presence of four kinds of indicator bacteria in the groundwater resources: faecal Streptococci, faecal coliform, Escherichia coli and Clostridium. The physico-chemical results and bacteriological monitoring show that the nitrate and bacteria concentrations exceed the maximum admissible levels, notably around pumping stations in the sectors of Sidi Taibi, Sidi Ahmed Taleb and Aïn Sbaâ. Contamination is generated by uncontrolled anthropogenic activities and accentuated by the high intrinsic vulnerability of the aquifer system. Several parameters appeared to exceed admissibility standards. Measures are recommended to prevent groundwater pollution in the region.     

国家海域使用动态监视监测管理系统数据传输网络设计

数据传输网络系统是国家海域使用动态监视监测管理系统的重要组成部分,文中简要介绍了国家海域使用动态监视监测管理系统数据传输网络的设计思想,描述了网络拓扑结构、网络管理和网络安全的技术框架。     

CONSTRUCTING,VISUALIZING, AND ANALYZING A DIGITAL FOOTPRINT*

ABSTRACT. Herein, we discuss the desire for new technology, the need for security, and the right to privacy; in doing so, we argue that each of these concerns comprises an important, tripartite debate. To highlight the complexities in this problem, we define our notion of a “digital footprint” and introduce Big Foot—specialized software created for the research described here to facilitate visualization and exploration of the data that comprise Stephen Weaver's personal digital footprint. Using Big Foot we demonstrate how multiple digital personae can be created from the data that constitute one unique digital footprint and provide a methodology for understanding the good and bad impacts that new technologies may have on future societies. One of the primary arguments of this work is that the debate—though not formally recognized—is currently before contemporary society and must receive sufficient attention.     

微空间场景与视频分析相结合的审讯室异常行为检测

行为检测是智能视频分析的研究热点。目前,行为分析主要是基于视频图像空间,而丰富的空间场景信息并未得到有效利用。事实上,个体行为与空间场景紧密关联,不同场景可能具有不同的行为表征。本文以审讯室的典型微空间场景为例,以刑讯逼供行为检测为研究内容,探究空间场景约束下的个体异常行为检测方法。首先,从行为变量的概念出发,解析了刑讯逼供的行为变量和行为类型;其次,分析了刑讯逼供行为变量的视频特征,并设计了相应的行为变量检测模型;再次,通过灭点计算实现了空间场景和视频图像的双向映射关系的解算,并在此基础上设计了顾及空间场景的刑讯逼供行为分级分类检测策略;最后,通过模拟实验对本文方法的可行性进行了分析验证。     

航管二次监视雷达低俯仰角典型假目标的消除对策研究

航管二次监视雷达会出现假目标,尤其是在低俯仰角状态下,会极大地降低其性能。对低俯仰状态下假目标消除进行研究,提出了一种新的假目标识别方法。在对航管二次监视雷达几种典型假目标的原因进行分析基础之上,重点研究了航管二次监视雷达低俯仰角情况下假目标的综合识别方法、反射物列表实时更新、灵敏度时间程序控制以及功率程序控制技术等消除对策。在广汉机场的航管二次雷达系统上进行了验证,出现的假目标均被滤除,效果符合标准。     

Adapt区域数字遥测地震台网数据采集处理软件包

数字遥测地震台网通用数据采集和处理软件包（Ａｄａｐｔ）是一套通用的数字地震采集和处理系统,能够记录实时地动信号,地震事件发生时能报警,快速检测、识别和定位地震事件,自动产生地震月报等。Ａｄａｐｔ采用简体中文Ｗｉｎｄｏｗｓ ＮＴ工作平台,系统最小可以接收４路地震数据,最大可以接收１２８路。介绍了该系统的功能、技术途径以及实际应用。     

Putting health inequities on the map: social epidemiology meets medical/health geography––an ecosocial perspective

To put on the map: according to the Oxford English Dictionary, whatever is so placed occupies “an important or prominent position” and is “of some account or importance.” In this brief commentary, I take the opportunity to reflect on several articles by medical/health geographers and others regarding our Public Health Disparities Geocoding Project and my research, as a social epidemiologist, on the myriad ways racism can harm health. In both cases, my work on these topics has been motivated by my desire, starting a quarter of a century ago, to put health inequities on the map: as a topic of public concern, research, and action. The insightful and informative points and questions raised by the geography-oriented articles underscore the importance of bringing the best of our respective disciplinary insights and expertise to illuminate the profound connections between social justice and public health, between our bodily truths and the body politic, so as to further the goal of embodying equity––in an ecologically sustainable world.     

基于多摄像头监控的人体跌倒检测算法

人口老龄化使得空巢老人数量越来越多。跌倒作为威胁独居老人生命安全的主要因素受到了社会的广泛关注。为保护老人的生命健康不受威胁,本文提出一种基于计算机视觉的两级人体跌倒检测算法。从监控摄像机中采集视频数据,对其做前景提取,通过形态学操作为前景块绘制矩形边界,根据矩形宽高比从中筛选出所有可能是跌倒的行为,这是粗粒度级检测。之后再用统计学方法对第一级检测出的前景块绘制椭圆边界,分析其形态变化,最终检测出跌倒行为,这是细粒度级检测。本文在开源多摄像头跌倒数据集上进行了评估。仿真实验和与当前的先进方法的对比表明本文算法取得了非常好的效果。