A Remote-Video Artificial Stream System for the Ecological Research and Education Center, University of Kentucky

肯塔基大学生态研究与教育中心的远程视频人工流系统

基本信息

  • 批准号:
    1723102
  • 负责人:
  • 金额:
    $ 41.46万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-08-15 至 2019-07-31
  • 项目状态:
    已结题

项目摘要

Rapidly advancing technology has made important scientific issues and questions that were previously out of reach accessible to contemporary research. The ability to visualize, measure, and test the understanding of the movements and spatial distributions of animals in real time and space is especially important at a time of rapid environmental change, with altered habitats and seasonal patterns and important consequences for organisms and ecosystems. Performing experiments that mimic natural conditions and interactions with built-in repetition can demonstrate patterns and evaluate predictions to a very high standard of scientific rigor. This new stream system will allow this level of repetition in multiple stream channels to document the behavior of stream organisms like fish, crayfish, snakes and their food very precisely. The behavior and distributions of these and other stream organisms determines whether certain populations that may be important for ecosystem function or recreational use will survive or perhaps spread beyond their present limits and displace native species. Knowing how these organisms fare when faced with natural and human-caused disturbances like floods, droughts, chemical pollutants, and sedimentation requires just this kind of facility to obtain clear answers. This work involves a close connection with students in local schools, who in some cases will be able to participate directly in these studies or can watch behavior of animals in the stream system from their classrooms. This project builds on the emergence of the Ecological Research and Education Center (EREC) field station at the University of Kentucky (see http://darwin.uky.edu/~erec/) by incorporating enhanced analytical capabilities through the construction of a new facility. The goals are to accelerate the development of research programs already associated with the station and its field research area ERF (= Ecological Research Facility) and to attract additional productive researchers and strengthen links with other universities, colleges, and K-12 schools in the region. An artificial stream system will be constructed with remote-controlled video that will be flexible enough to accommodate a diversity of questions and focal organisms and will allow control over physical conditions essential to mimicking the corresponding natural environments. The system will have enough independent streams to allow two or even three studies to run simultaneously at modest levels of replication or one study at high replication. The video tracking, controlled for position and zoom from off-site, can transmit high-resolution video from one or all 10 cameras to a single video screen for real-time day/night observation, storage, and analysis. A computer linked to the system by an underground fiber-optic cable will enable visualization of behavior in the streams in real time, store the large amount of data generated, and facilitate data analysis and sharing with collaborators, schools, and other researchers. This combination of capabilities will allow rapid advances in our understanding of the under-studied animals and ecosystems of streams, a high priority in Kentucky's stream-rich landscapes.
快速发展的技术使重要的科学问题和以前无法触及的当代研究。在环境迅速变化、生境和季节模式发生变化、对生物体和生态系统产生重要影响的时候,对动物在真实的时间和空间中的运动和空间分布进行可视化、测量和测试的能力尤其重要。进行模拟自然条件和具有内置重复的相互作用的实验可以展示模式并以非常高的科学严谨性标准评估预测。这个新的河流系统将允许在多个河流通道中进行这种水平的重复,以非常精确地记录鱼类,小龙虾,蛇等河流生物及其食物的行为。这些和其他溪流生物的行为和分布决定了某些对生态系统功能或娱乐用途可能很重要的种群是否会生存下来,或者可能会超出其目前的限制并取代本地物种。要了解这些生物在面临自然和人为干扰(如洪水、干旱、化学污染物和沉积物)时的表现,就需要这种设施来获得明确的答案。这项工作涉及与当地学校的学生密切联系,在某些情况下,他们将能够直接参与这些研究,或者可以从教室观看溪流系统中动物的行为。该项目以肯塔基州大学生态研究和教育中心(EREC)野外站的出现为基础(见http://darwin.uky.edu/EREC/),通过建造一个新的设施来提高分析能力。其目标是加速与空间站及其实地研究领域ERF(=生态研究设施)相关的研究计划的发展,吸引更多的生产性研究人员,并加强与该地区其他大学,学院和K-12学校的联系。将建造一个带有遥控视频的人工溪流系统,该系统将足够灵活,以适应各种问题和焦点生物,并将允许控制模仿相应自然环境所必需的物理条件。该系统将有足够的独立流,以允许两个甚至三个研究同时运行在中等水平的复制或一个研究在高复制。视频跟踪,控制位置和缩放从场外,可以传输高分辨率的视频从一个或所有10个摄像头到一个视频屏幕的实时日/夜观察,存储和分析。通过地下光纤电缆连接到该系统的计算机将能够在真实的时间内可视化流中的行为,存储生成的大量数据,并促进数据分析和与合作者,学校和其他研究人员共享。这种能力的结合将使我们对研究不足的动物和河流生态系统的理解迅速进步,这是肯塔基州河流丰富的景观中的一个高度优先事项。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Philip Crowley其他文献

Tackling climate change: the pivotal role of clinicians
应对气候变化:临床医生的关键作用
  • DOI:
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jeffrey Braithwaite;Anuradha Pichumani;Philip Crowley
  • 通讯作者:
    Philip Crowley

Philip Crowley的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Philip Crowley', 18)}}的其他基金

Field Station Planning for the Ecological Research and Education Center, University of Kentucky
肯塔基大学生态研究与教育中心实地站规划
  • 批准号:
    1418729
  • 财政年份:
    2014
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Dissertation Research: Examining the Effects of Large Scale Migration on Local Population and Community Dynamics in Larval Odonates
论文研究:研究大规模迁徙对幼虫当地种群和群落动态的影响
  • 批准号:
    0206549
  • 财政年份:
    2002
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Dissertation Research: Key Traits Underlying Invasion Success: A Comparison of Gambusia Species
论文研究:入侵成功的关键特征:甘布西亚物种的比较
  • 批准号:
    0206542
  • 财政年份:
    2002
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Omnivory and Conditional Life-Histories in a Freshwater Community
淡水群落中的杂食性和条件性生活史
  • 批准号:
    9411161
  • 财政年份:
    1994
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Graduate Training in evolutionary ecology at the University of Kentucky
肯塔基大学进化生态学研究生培训
  • 批准号:
    9355093
  • 财政年份:
    1994
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Continuing Grant
U.S.-U.K. Cooperative Research: Population Dynamics and Ecological Stability
美英合作研究:人口动态与生态稳定性
  • 批准号:
    9014938
  • 财政年份:
    1991
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Undergraduate research Experience in Aquatic Ecology at the University of Kentucky
肯塔基大学水生生态学本科研究经历
  • 批准号:
    8901163
  • 财政年份:
    1989
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Continuing Grant
REU: Undergraduate Research Experiences in Aquatic Ecology at the University of Kentucky
REU:肯塔基大学水生生态学本科生研究经验
  • 批准号:
    8804517
  • 财政年份:
    1988
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Collaborative Research: Direct and Indirect Effects of Fish Predation on the Freshwater Littoral Benthos.
合作研究:鱼类捕食对淡水沿岸底栖动物的直接和间接影响。
  • 批准号:
    8706581
  • 财政年份:
    1987
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Collaborative Research on the Coexistence of Littoral Odonata
滨海蜻蜓动物共存的合作研究
  • 批准号:
    8400377
  • 财政年份:
    1984
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant

相似海外基金

I-Corps: Centralized, Cloud-Based, Artificial Intelligence (AI) Video Analysis for Enhanced Intubation Documentation and Continuous Quality Control
I-Corps:基于云的集中式人工智能 (AI) 视频分析,用于增强插管记录和持续质量控制
  • 批准号:
    2405662
  • 财政年份:
    2024
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
I-Corps: Privacy-Responsive Artificial Intelligence-Based Solution for Smart Video Surveillance
I-Corps:基于隐私敏感的人工智能的智能视频监控解决方案
  • 批准号:
    2323757
  • 财政年份:
    2023
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Artificial Intelligence Applied to Video and Speech for Objectively Evaluating Social Interaction and Depression in Mild Cognitive Impairment
人工智能应用于视频和语音,客观评估轻度认知障碍患者的社交互动和抑郁情况
  • 批准号:
    10810965
  • 财政年份:
    2023
  • 资助金额:
    $ 41.46万
  • 项目类别:
Interpretation of animal behaviours using novel video processing techniques in Artificial Intelligence
使用人工智能中的新型视频处理技术解释动物行为
  • 批准号:
    2750918
  • 财政年份:
    2022
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Studentship
Collaborative Research: Using Artificial Intelligence to Transform Online Video Lectures into Effective and Inclusive Agent-Based Presentations
协作研究:利用人工智能将在线视频讲座转变为有效且包容的基于代理的演示
  • 批准号:
    2201019
  • 财政年份:
    2022
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Collaborative Research: Using Artificial Intelligence to Transform Online Video Lectures into Effective and Inclusive Agent-Based Presentations
协作研究:利用人工智能将在线视频讲座转变为有效且包容的基于代理的演示
  • 批准号:
    2201020
  • 财政年份:
    2022
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Standard Grant
Development of video analysis based artificial intelligence for hemifacial spasm care
基于视频分析的人工智能开发用于面肌痉挛护理
  • 批准号:
    21K16623
  • 财政年份:
    2021
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Secure AID-GI - Artificial Intelligence-supported Diagnostics of Gastrointestinal diseases with video capsule endoscopy
Secure AID-GI - 利用视频胶囊内窥镜进行人工智能支持的胃肠道疾病诊断
  • 批准号:
    73648
  • 财政年份:
    2020
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Feasibility Studies
Design and Implementation of a General Video Game Playing Artificial Intelligence
通用视频游戏人工智能的设计与实现
  • 批准号:
    550424-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 41.46万
  • 项目类别:
    University Undergraduate Student Research Awards
AID-GI – Artificial Intelligence-supported Diagnostics of Gastrointestinal diseases with video capsule endoscopy
AID-GI — 人工智能支持的视频胶囊内窥镜胃肠道疾病诊断
  • 批准号:
    104633
  • 财政年份:
    2019
  • 资助金额:
    $ 41.46万
  • 项目类别:
    Collaborative R&D
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了