Collaborative Research: IDBR: VoxNet--A Deployable Bioacoustic Sensor Network

合作研究：IDBR：VoxNet——可部署的生物声学传感器网络

• 批准号: 0754247
• 负责人: Daniel Blumstein
• 金额: $ 42.26万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-03-15 至 2012-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0754247&HistoricalAwards=false
• 关键词: Collaborative; Research; IDBR; VoxNet; Deployable

This award supports a collaborative effort between the PIs and investigators at the University of Arizona and Massachusetts Institute of Technology to design and develop instrumentation for wildlife biologists to inventory animals by detecting, recording, and analyzing their sounds. The system will also allow for field biologists to ask questions about the temporal and spatial dynamics of acoustic communication. Many species produce sounds, and by identifying and localizing them, we can census biodiversity and study the natural dynamics of communication. Typically, these will be vocal sounds, such as bird song, or mammal or frog calls, but in theory, the equipment and algorithms can be used for other sorts of sounds (such as the stridulations of cricket wings). To do so, we must build robust hardware and easy to use software that field biologists can and will use. While there has been the development of ?proof-of-concept? tools and algorithms for many of the components of a usable system, there is no reliable, robust, and easy-to-use system that will permit field biologists to easily census acoustic animals. To do so, a platform called VoxNet will be developed. VoxNet is an integrated software and hardware package which will be a quantum leap forward beyond existing technology in for main areas: software, near-real time event recognition, energy efficiency, and a much longer communication range. VoxNet will be a new, highly integrated, deployable acoustic sensor node with a lower unit cost, and lower energy cost than any existing system. VoxNet will include a highly optimized system software and driver to reduce energy costs through duty cycling. In addition, new 2D/3D algorithms to localize the source of the sound will be developed. These new algorithms will run in near-real-time on a distributed network of VoxNet nodes, enabling users to detect and identify vocalizing animals while in the field. A powerful and easy-to-use software environment based on the WaveScope programming model and the XStream distributed stream processing system (technology partially developed under NSF support at MIT) will be developed. Finally, the system will be tested in the field to both census birds and identify individually alarm calling marmots. The development of tools for field biologists to use will create new ways to census biodiversity, and ask here-to-for impossible or difficult-to-ask questions about the spatial and temporal dynamics of vocal displays. When deployed, we expect these tools to generate novel and important discoveries. The dissemination of these tools will enhance research productivity in behavior, ecology and evolutionary biology. And, these tools will create novel ways to census, conserve, and manage biodiversity. The process of developing these tools will create integrative educational opportunities for undergraduates and graduate students.

该奖项支持亚利桑那大学和马萨诸塞州技术学院的PIS与研究人员之间的合作努力，以设计和开发野生动植物生物学家的仪器，以通过检测，记录和分析声音来库存动物。 该系统还将允许现场生物学家询问有关声学交流的时间和空间动态的问题。 许多物种会产生声音，并通过识别和本地化，我们可以批准生物多样性并研究交流的自然动态。 通常，这些将是声音的声音，例如鸟歌，哺乳动物或青蛙呼唤，但是从理论上讲，设备和算法可用于其他类型的声音（例如板球翅膀的扭曲）。为此，我们必须构建强大的硬件和易于使用现场生物学家可以并且将使用的软件。 尽管有概念证明的发展？可用系统的许多组件的工具和算法，没有可靠，健壮且易于使用的系统，可以使现场生物学家轻松地人口普查。 为此，将开发一个称为Voxnet的平台。 Voxnet是一个集成的软件和硬件软件包，将是主要领域现有技术的量子飞跃：软件，近乎实时的时间事件识别，能源效率和更长的通信范围。 Voxnet将是一种新的，高度集成的可部署声传感器节点，其单位成本较低，而能源成本则比任何现有系统都低。 Voxnet将包括一个高度优化的系统软件和驱动程序，以通过占用骑行来降低能源成本。此外，将开发出新的2D/3D算法来定位声音源。这些新算法将在近似时间的voxnet节点网络上运行，从而使用户能够在现场检测和识别发声动物。将开发一个基于WaveScope编程模型和XStream分布式流处理系统（MIT的NSF支持下部分开发的技术）的功能强大且易于使用的软件环境。 最后，该系统将在现场测试，以识别人口普查鸟类，并确定单独的警报称呼marmots。 开发现场生物学家使用的工具将创建新的方式来人口普查生物多样性，并在此处询问有关声乐显示的时空动态的不可能或难以掩盖的问题。部署后，我们希望这些工具能产生新颖而重要的发现。这些工具的传播将提高行为，生态学和进化生物学的研究生产力。 而且，这些工具将创建新颖的方式来人口普查，保护和管理生物多样性。开发这些工具的过程将为大学生和研究生创造综合的教育机会。