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提高准确性:一种自动测量企鹅体重、行进方向和射频识别(RFID)的新设计和算法。

Increasing Accuracy: A New Design and Algorithm for Automatically Measuring Weights, Travel Direction and Radio Frequency Identification (RFID) of Penguins.

机构信息

British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge, CB30ET, United Kingdom.

Department of Physics, Yeshiva University, 500 W 185th Street, New York, NY, 10033, United States of America.

出版信息

PLoS One. 2015 Apr 20;10(4):e0126292. doi: 10.1371/journal.pone.0126292. eCollection 2015.

Abstract

A fully automated weighbridge using a new algorithm and mechanics integrated with a Radio Frequency Identification System is described. It is currently in use collecting data on Macaroni penguins (Eudyptes chrysolophus) at Bird Island, South Georgia. The technology allows researchers to collect very large, highly accurate datasets of both penguin weight and direction of their travel into or out of a breeding colony, providing important contributory information to help understand penguin breeding success, reproductive output and availability of prey. Reliable discrimination between single and multiple penguin crossings is demonstrated. Passive radio frequency tags implanted into penguins allow researchers to match weight and trip direction to individual birds. Low unit and operation costs, low maintenance needs, simple operator requirements and accurate time stamping of every record are all important features of this type of weighbridge, as is its proven ability to operate 24 hours a day throughout a breeding season, regardless of temperature or weather conditions. Users are able to define required levels of accuracy by adjusting filters and raw data are automatically recorded and stored allowing for a range of processing options. This paper presents the underlying principles, design specification and system description, provides evidence of the weighbridge's accurate performance and demonstrates how its design is a significant improvement on existing systems.

摘要

一种全新的自动化地磅,集成了新算法和机械原理以及射频识别系统,目前正在南乔治亚的伯德岛用于收集麦哲伦企鹅(Eudyptes chrysolophus)的数据。该技术使研究人员能够收集大量非常精确的企鹅体重数据和它们进出繁殖群的行进方向数据,为帮助了解企鹅繁殖成功率、繁殖输出和猎物可利用性提供了重要的辅助信息。该技术能够可靠地区分单个和多个企鹅穿越地磅的情况。植入企鹅体内的被动射频标签可以使研究人员将体重和行程方向与单个鸟类匹配起来。这种地磅的重要特点包括单位和运营成本低、维护需求低、操作要求简单以及每个记录的准确时间戳,此外,它还能够在繁殖季节的每天 24 小时内运行,不受温度或天气条件的影响。用户可以通过调整过滤器来定义所需的精度水平,原始数据会自动记录和存储,从而提供了多种处理选项。本文介绍了其基本原理、设计规范和系统描述,提供了地磅准确性能的证据,并展示了其设计如何显著改进了现有系统。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b456/4404094/f229ec1099c1/pone.0126292.g001.jpg

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