基于图像处理的自动野外救援系统设计     

郭乃天  庞国臣  张安彩  邱建龙 《南京气象学院学报》2019,11(4):490-494

针对野外救援的不及时性,结合人工智能等技术的应用,提出了一种新的自动野外救援系统.人类在野外和海上活动中受困后,除了依靠自身能力和装备进行求生之外,外部的有效及时救援是提高生存几率的关键.自动野外救援系统,由自动报警装置、手动报警装置实现报警,触发整个系统的运行.自动救援装置可以通过定位模块实现定位,通过执行器移动到随身装置附近实现救援,随身装置还可以发出信标导引信号;自动救援装置还可以通过传感器检测信标,通过相位检测技术等计算待救者的坐标并规划路径,实现更精准的定位与救援.  相似文献   

基于镜像图的LRC和CRC偏差结合的人脸识别     

陈铭  周先春  周杰 《南京气象学院学报》2019,11(3):340-345

为了提高人脸识别率及更好地显示人脸特征,本文提出了一种基于镜像图的LRC和CRC偏差结合的人脸识别方法.该方法首先生成一种镜像人脸,再通过融合原始人脸和镜像人脸形成新的混合训练样本,最后利用LRC和CRC偏差结合进行人脸识别.新方法增加了训练样本的数目,克服了由于光照和姿态等外部因素带来的影响.实验结果表明,镜像图与LRC和CRC偏差结合的人脸识别方法提高了人脸识别的准确性.  相似文献   

基于脑电信号评价情绪状态及听觉激励对改善情绪的研究     

王慧  邱义波  骆永乐 《南京气象学院学报》2019,11(2):158-164

如何从脑活动数据中发现具有生物学意义的知识及规律,正成为当今神经信息学理论与实践研究的热点与难点.基于脑电的情绪识别和情绪及其脑机制的关联研究已经成为神经工程和生物医学工程领域的热门课题.本研究基于脑电信号评价情绪状态,尝试借助脑电耳机来监测"毫无头绪"的脑电波,重点开展了听觉激励对改善焦虑情绪状态的实验研究.借助特定中国古风纯音乐产生听觉信号激励,激发出被试者平静放松的情绪状态,从而改善焦虑,发现音乐和情绪之间可能存在的关系.将来在BCI技术研究的基础之上,情绪识别可以进一步满足患有特定疾病（ALS症、脑瘫、脑干中风、脊髓损伤等）的患者人群的某些更高级的需求,即通过脑电分析出其对事物的喜好度,比如音乐的选择,从而设计出更加友善和智能的BCI系统,在医疗康复领域具有很好的应用前景.  相似文献   

Transforming local natural resource conflicts to cooperation in a changing climate: Bangladesh and Nepal lessons     

Parvin Sultana  Paul Michael Thompson  Naya Sharma Paudel  Madan Pariyar  Mujibur Rahman 《Climate Policy》2019,19(6):S94-S106

ABSTRACT

Since the 1990s, climate change impact discourse has highlighted potential for large scale violent conflicts. However, the role of climate stresses on local conflicts over natural resources, the role of policies and adaptation in these conflicts, and opportunities to enhance cooperation have been neglected. These gaps are addressed in this paper using evidence from participatory action research on 79 cases of local collective action over natural resources that experience conflicts in Bangladesh and Nepal. Climate trends and stresses contributed to just under half of these conflict cases. Nine factors that enable greater cooperation and transformation of conflict are identified. Participatory dialogue and negotiation processes, while not sufficient, changed understanding, attitudes and positions of actors. Many of the communities innovated physical measures to overcome natural resource constraints, underlying conflict, and/or institutional reforms. These changes were informed by improving understanding of resource limitations and indigenous knowledge. Learning networks among community organizations encouraged collective action by sharing successes and creating peer pressure. Incentives for cooperation were important. For example, when community organizations formally permitted excluded traditional resource users to access resources, those actors complied with rules and paid towards management costs. However, elites were able to use policy gaps to capture resources with changed characteristics due to climate change. In most of the cases where conflict persisted, power, policy and institutional barriers prevented community-based organizations from taking up potential adaptations and innovations. Policy frameworks recognizing collective action and supporting flexible innovation in governance and adaptation would enable wider transformation of natural resource conflicts into cooperation.

Key policy insights

• Climate stresses, policy gaps and interventions can all worsen local natural resource conflicts.

• Sectoral knowledge and technical approaches to adaptation are open to elite capture and can foster conflicts.

• Many local natural resource conflicts can be resolved but this requires an enabling environment for participatory dialogue, external facilitation, flexible responses to context, and recognition of disadvantaged stakeholder interests.

• Transforming conflict to greater cooperation mostly involves social and institutional changes, so adaptation policies should focus less on physical works and more on enabling factors such as negotiation, local institutions, knowledge, and incentives.

  相似文献   

Personal experience with climate change predicts intentions to act     

《Global Environmental Change》2015

The public's willingness to engage in mitigation actions has not received as much attention as the level of belief in Global Warming (GW), especially on the international stage. Research in Western nations indicates that people systematically misunderstand GW and the actions required for mitigation. Important factors that influence judgments about mitigation actions include personal experiences, beliefs, knowledge, values, and worldviews. We present results of an international survey (25 samples from 24 countries) measuring general intentions to act and willingness to engage in specific actions. Our analysis reveals that endorsement of specific actions is (a) lower than general endorsement of mitigation, (b) accompanied by higher intra-individual variance, and (c) more strongly related to personal experiences with GW. This pattern can be attributed to the compatibility between the proximal construal of specific actions and the nature of the personal experience. Lastly we provide recommendations on how these findings can be used to encourage mitigation action.  相似文献   

Local collective action: Adaptation to coastal erosion in the Monkey River Village,Belize     

《Global Environmental Change》2015

Successful adaptation to environmental change and variability is closely connected with social groups’ ability to act collectively, but many social-ecological challenges exceed local adaptive capacity which necessitate assistance from governmental institutions. Few studies have investigated how local collective action can be used to enrol external support for adaptation. This paper reduces this research gap by analysing a locally driven adaptation process in response to coastal erosion in Monkey River Village, Belize. Drawing on literature on adaptation and political ecology, we examine the different strategies the local residents have used over time to influence government authorities to support them in curbing the coastal erosion. Our findings show that the local mobilisation generated government support for a temporary sea defence and that collective strategies emerge as a response to threats to a place specific way of life. Our case illustrates that it was essential that the villagers could ally with journalists, researchers and local NGOs to make their claims for protection heard by the government. The paper contributes to adaptation research by arguing that local collective action, seen as contestation over rights to protection from environmental change, can be a means for places and communities not prioritised by formal policies to enrol external support for adaptation. Our study supports and adds to the perspective that attention to formal arrangements such as adaptation policy alone has limited explanatory power to understand collective responses to change.  相似文献   

利用Faster R-CNN进行立交桥自动识别与定位     

马京振  陈换新  朱新铭  张付兵 《测绘通报》2021,(3):28-32,86

立交桥结构的自动识别对道路网多尺度建模、空间分析和车辆导航具有重要意义。传统基于矢量数据的立交桥识别方法过分依赖人工设计的特征,对复杂场景的适应性较差。本文提出了一种基于目标检测Faster R-CNN神经网络模型的立交桥识别方法,该方法利用卷积神经网络学习立交桥样本的深层次结构特征,进而实现立交桥的自动识别与准确定位。试验结果表明,该方法对立交桥的识别效果较好,能够在复杂的道路网中准确确定立交桥的位置,避免了人为干预对试验结果不确定性的影响,抗干扰性较强。  相似文献   

卫星+AI时代遥感专业模式识别课程的教学实践与改革     

李二珠  康建荣  张莲蓬 《测绘通报》2021,(2):157-160

在人工智能时代深化遥感产业发展背景下,遥感专业人才培养需要与时俱进,以提高人工智能应用能力。本文针对目前遥感科学与技术专业人工智能核心课程模式识别教学现状及存在的问题,提出面向遥感专业应用导向的模式识别课程建设思路,从教学内容和实践环节两个方面设计了以提高遥感专业学生人工智能应用能力为目的的教学方案。从教学反馈结果来看,本文提出的教学思路不仅激发了学生对模式识别课程学习的兴趣,而且提高了学生应用模式识别方法进行遥感信息解译的能力。  相似文献   

利用测井资料识别层序地层单元技术与方法进展及趋势   总被引：3，自引：1，他引：2  

朱红涛  黄众  刘浩冉  Keyu Liu  刘强虎 《地质科技情报》2011,30(4):29-36

测井曲线包含丰富的地质信息,测井曲线的形态、幅度可以反映出岩性和沉积旋回韵律等地层特征.在综述国内外研究成果的基础上,认为基于测井资料进行层序地层单元划分的方法可以分为定性和定量识别两种,其中,定性方法有自然电位和自然电位镜像法、声波时差与电阻率曲线重叠法、声波时差法、自然电位和视电阻率组合法以及累计地层倾角测井法等;...  相似文献   

地震动力作用触发的斜坡崩滑响应研究现状及展望     

杨旭朝  崔芳鹏 《中国地质灾害与防治学报》2011,22(2):1-13

地震动力作用触发的斜坡崩、滑地质灾害因其巨大的致灾力引起了广泛关注,其研究主要集中在：①地震触发斜坡崩滑灾害特征和影响因素统计学分析,即从典型地震触发的大量斜坡崩滑灾害实例研究入手,从统计学角度分析地震崩滑灾害发育特征同地震参数（地震震级、地震烈度、震源深度、震中距等）和斜坡体特征（坡高、坡角、岩性、构造、水文地质条件等）之间的关系;②地震触发斜坡崩滑灾害的形成机制和动力响应特征研究,即分析地震波产生的拉压和剪切作用对斜坡体的影响及在这种作用下斜坡体发生的破坏和运动过程;③地震作用下斜坡稳定性评价和致灾预测研究,主要是评价、预测方法和技术的类别及特征。基于此阐述了该研究中存在的问题和今后的研究趋势。  相似文献