肘部支撑在视频显示终端作业过程中对背部和右手表面肌电影响的Meta分析

本文主要探讨肘部支撑在视频显示终端作业过程中对背部和右手表面肌电的影响。采用Meta分析方法对以往研究资料进行筛检及汇总分析。结果发现：左右侧斜方肌的最大自主收缩百分比（MVC％）分别下降了0．83％（95％CI-1．00％--0．66％）和0．61％（95％CI-0．78％～-0．43％）,对于右手食指伸指肌而言,其影响并不具有显著性。可以认为肘部支撑是一种比较简单而且有效的预防措施。     

Predicting occurrence of juvenile shark habitat to improve conservation planning

Fishing and habitat degradation have increased the extinction risk of sharks, and conservation strategies recognize that survival of juveniles is critical for the effective management of shark populations. Despite the rapid expansion of marine protected areas (MPAs) globally, the paucity of shark‐monitoring data on large scales (100s–1000s km) means that the effectiveness of MPAs in halting shark declines remains unclear. Using data collected by baited remote underwater video systems (BRUVS) in northwestern Australia, we developed generalized linear models to elucidate the ecological drivers of habitat suitability for juvenile sharks. We assessed occurrence patterns at the order and species levels. We included all juvenile sharks sampled and the 3 most abundant species sampled separately (grey reef [Carcharhinus amblyrhynchos], sandbar [Carcharhinus plumbeus], and whitetip reef sharks [Triaenodon obesus]). We predicted the occurrence of juvenile sharks across 490,515 km² of coastal waters and quantified the representation of highly suitable habitats within MPAs. Our species‐level models had higher accuracy (? ≥ 0.69) and deviance explained (≥48%) than our order‐level model (? = 0.36 and deviance explained of 10%). Maps of predicted occurrence revealed different species‐specific patterns of highly suitable habitat. These differences likely reflect different physiological or resource requirements between individual species and validate concerns over the utility of conservation targets based on aggregate species groups as opposed to a species‐focused approach. Highly suitable habitats were poorly represented in MPAs with the most restrictions on extractive activities. This spatial mismatch possibly indicates a lack of explicit conservation targets and information on species distribution during the planning process. Non‐extractive BRUVS provided a useful platform for building the suitability models across large scales to assist conservation planning across multiple maritime jurisdictions, and our approach provides a simple for method for testing the effectiveness of MPAs.     

RUNOFF PREDICTION USING REMOTE SENSING IMAGERY1

ABSTRACT: Percent imperviousness is an important parameter in modeling the urban rainfall-runoff process and is usually determined using manual methods such as random sampling or conventional accounting methods. In this study two computerized methods are used for estimating the percent imperviousness of urban watersheds using high altitude remote sensing imagery. These methods include the Laser Image Processing Scanner and the Video-Tape Camera system. Imperviousness is directly estimated in the former method while in the latter it is estimated as a function of the statistics of the responses on emulsions of the imagery. The percent imperviousness computed by utilizing remote sensing imagery was used with the conceptual models of rainfall-runoff models. The models were applied to four urban watersheds and the runoff prediction results indicate that imperviousness determined by using remote sensing imagery was as accurate as that obtained by the manual methods, and that the use of remote sensing imagery requires significantly less time and money.     

基于SDSL传输技术的煤矿多媒体救灾系统研究

介绍一种新型的SDSL(对称性数字用户环路)数据传输技术,该技术采用对称数字用户线点对点宽带传输数字信号,在利用一对电话线进行双向对称数字信号传输时,最大传输速率可达到1.5Mb/s。应用SDSL传输技术研制出煤矿多媒体救灾系统,详细阐述煤矿多媒体救灾系统的构成、功能及特点等,该系统能够实现井下灾区多媒体信息的实时传输,解决在矿山救灾的特殊环境条件下实现灾区图像\语音实时传输到井下救援基地、地面指挥中心及国家矿山救援指挥中心的难题。     

高速公路紧急事件处置现场视频无线传输系统的研究

从高速公路交通事故紧急处置和应急救援的角度出发,在对高速公路交通事故过程、影响因素、紧急处置与救援特点及其信息需求分析的基础上,指出高速公路现有的有线监控系统、CDMA,GPRS系统均无法满足高速公路交通事故紧急处置和应急救援中对视频实时传输的需要。给出了笔者研发的适用于高速公路应急救援现场的基于WLAN的无线视频实时传输系统的基本原理与功能。     

基于视频分析的空管员违规行为识别方法*

为利用视频数据对空管员违规行为进行智能化分析,降低不安全事件发生率,提出2阶段的违规行为识别模型（AR-ResNeXt）,基于实地调研构建空管员视频数据集,利用最小化动态多实例学习损失函数和中心损失函数,获得违规行为检测的判别特征表示,结合异常回归网络和ResNeXt网络,完成对空管员违规行为的时序区间检测与动作分类。研究结果表明:AR-ResNeXt模型在自制数据集中,其帧级AUC达到82.9%,分类准确率达到87.8%,可准确识别空管员发生违规行为的时序区间并进行分类,研究结果可为保障空中交通安全奠定基础。     

一种基于CAVE的交互式全景视频显示方法

为了实现全景视频的沉浸式显示,开发了一个基于CAVE的交互式全景视频显示系统．本系统成功地实现了pgr全景视频文件在CAVE上的播放．首先,将全景视频中的每一帧全景图像映射到一个虚拟球面上;其次,使用五个虚拟相机对该球面的四面及顶面进行拍摄,调整各相机的参数使所得各幅图像覆盖整个球面区域,并能够无缝拼接;最后,将所得五幅图像分别投影到CAVE系统中各投影幕中;另外,实现通过鼠标、手柄等输入设备调整CAVE中各投影幕的画面．     

海上石油平台无线视频监控系统的建立

介绍了埕岛油田无线视频监控系统,提出了在自然环境恶劣的条件下实施无线视频监控系统的必要性和给安全生产带来的益处,并对分步式无线视频监控系统的特点进行了阐述.     

Combined use of eDNA metabarcoding and video surveillance for the assessment of fish biodiversity

Monitoring communities of fish is important for the management and sustainability of fisheries and marine ecosystems. Baited remote underwater video systems (BRUVs) are among the most effective nondestructive techniques for sampling bony fishes and elasmobranchs (sharks, rays, and skates). However, BRUVs sample visually conspicuous biota; hence, some taxa are undersampled or not recorded at all. We compared the diversity of fishes characterized using BRUVs with diversity detected via environmental DNA (eDNA) metabarcoding. We sampled seawater and captured BRUVs imagery at 48 locales that included reef and seagrass beds inside and outside a marine reserve (Jurien Bay in Western Australia). Eighty-two fish genera from 13 orders were detected, and the community of fishes described using eDNA and BRUVs combined yielded >30% more generic richness than when either method was used alone. Rather than detecting a homogenous genetic signature, the eDNA assemblages mirrored the BRUVs’ spatial explicitness; differentiation of taxa between seagrass and reef was clear despite the relatively small geographical scale of the study site (∼35 km²). Taxa that were not sampled by one approach, due to limitations and biases intrinsic to the method, were often detected with the other. Therefore, using BRUVs and eDNA in concert provides a more holistic view of vertebrate marine communities across habitats. Both methods are noninvasive, which enhances their potential for widespread implementation in the surveillance of marine ecosystems.