电气电子工程师学会(Institute of Electrical and Electronics Engineers),1963年由美国电气工程师协会以及无线电工程师协会合并而成,总部在美国纽约市。

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论文题目: Object Detection in 20 Years: A Survey

论文简介:
目标检测作为计算机视觉中最基本和最具挑战性的问题之一,近年来受到了极大的关注。它在过去二十年的发展可以看作是计算机视觉历史的缩影。如果我们将当今的物体检测视为在深度学习的力量下的技术美学,那么将时光倒流到20年前,我们将见证冷武器时代的智慧。鉴于目标检测技术的技术发展,本文跨越了四分之一世纪的时间(从1990年代到2019年)广泛地审查了400多篇论文。本文涵盖了许多主题,包括历史上的里程碑检测器,检测数据集,度量,检测系统的基本构建块,加速技术以及最新的检测技术水平。本文还回顾了一些重要的检测应用程序,例如行人检测,面部检测,文本检测等,并对它们的挑战以及近年来的技术改进进行了深入分析。

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Real-time transmission line outage detection is difficult because of partial phasor measurement unit (PMU) deployment and varying outage signal strength. Existing detection approaches focus on monitoring PMU-measured nodal algebraic states, i.e., voltage phase angle and magnitude. The success of such approaches, however, is largely predicated on strong outage signals and the presence of PMUs in the outage location's vicinity. To overcome these limitations, a unified framework is proposed in this work by utilizing both nodal voltage information and generator dynamic states, e.g., rotor angular position. The proposed scheme is shown to be faster and more robust to unknown outage locations through the incorporation of generator dynamics. Using the IEEE 39-bus system simulation data, the proposed scheme's properties and performances compared to existing approaches are presented. The new approach could help improve operators' real-time situational awareness by detecting outages faster and providing a breakdown of outage signals for diagnostic purposes, making future power systems more resilient.

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