- 标题
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- 关键词
- 实验方案
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[IEEE 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) - St. Petersburg and Moscow, Russia (2020.1.27-2020.1.30)] 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) - Electrically Controlled Spectral Slit for Optical Spectrometers
摘要： This paper presents a signi?cant change in current electric power grid response and recovery schemes by developing a framework for proactive recovery of electric power assets with the primary objective of resiliency enhancement. Within the proposed framework, which can potentially present the next generation decision-making tool for proactive recovery, several coordinated models will be developed including: 1) the outage models to indicate the impact of hurricanes on power system components; 2) a stochastic pre-hurricane crew mobilization model for managing resources before the event; and 3) a deterministic post-hurricane recovery model for managing resources after the event. Proposed models will be extended to ensure applicability to a variety of electric power grids with different technologies and regulatory issues. The theoretical and practical implications of the developed models will push the research frontier of proactive response and recovery schemes in electric power grids, while its ?exibility will support application to a variety of infrastructures, in response to a wide range of extreme weather events and natural disasters.
关键词： recovery,smart grid,restoration,Natural disaster,resiliency
更新于2025-09-23 15:19:57
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[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Enabling ultrathin III-V solar cells using dual photonic crystals
摘要： This paper presents a significant change in current electric power grid response and recovery schemes by developing a framework for proactive recovery of electric power assets with the primary objective of resiliency enhancement. Within the proposed framework, which can potentially present the next generation decision-making tool for proactive recovery, several coordinated models will be developed including: 1) the outage models to indicate the impact of hurricanes on power system components; 2) a stochastic pre-hurricane crew mobilization model for managing resources before the event; and 3) a deterministic post-hurricane recovery model for managing resources after the event. Proposed models will be extended to ensure applicability to a variety of electric power grids with different technologies and regulatory issues. The theoretical and practical implications of the developed models will push the research frontier of proactive response and recovery schemes in electric power grids, while its flexibility will support application to a variety of infrastructures, in response to a wide range of extreme weather events and natural disasters.
关键词： resiliency,smart grid,recovery,restoration,Natural disaster
更新于2025-09-19 17:13:59
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[IEEE 2019 Winter Simulation Conference (WSC) - National Harbor, MD, USA (2019.12.8-2019.12.11)] 2019 Winter Simulation Conference (WSC) - On the Consequences of Un-Modeled Dynamics to the Optimality of Schedules in Clustered Photolithography Tools
摘要： This paper presents a signi?cant change in current electric power grid response and recovery schemes by developing a framework for proactive recovery of electric power assets with the primary objective of resiliency enhancement. Within the proposed framework, which can potentially present the next generation decision-making tool for proactive recovery, several coordinated models will be developed including: 1) the outage models to indicate the impact of hurricanes on power system components; 2) a stochastic pre-hurricane crew mobilization model for managing resources before the event; and 3) a deterministic post-hurricane recovery model for managing resources after the event. Proposed models will be extended to ensure applicability to a variety of electric power grids with different technologies and regulatory issues. The theoretical and practical implications of the developed models will push the research frontier of proactive response and recovery schemes in electric power grids, while its ?exibility will support application to a variety of infrastructures, in response to a wide range of extreme weather events and natural disasters.
关键词： recovery,smart grid,restoration,Natural disaster,resiliency
更新于2025-09-19 17:13:59
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Design of Simulation Training System for Remote Sensing Large Data Processing of Natural Disasters
摘要： Satellite monitoring is an important means of monitoring forest fire, it has the characteristics of aging fast, wide monitoring range. However, on the one hand,the operation of ground receiving equipment is so complex that can be only mastered by powerful training. On the other hand, the equipment is too expensive to meet so many trainers’ requirement of actual operation. The simulation training system can solve this problem preferable. The system utilizes the virtual simulation technology to simulate the satellite monitoring in forest fire and complies with satellite orbiting around the earth, HD video capturing,image receiving, image storing,image decoding, fire identifing,fire alarm and so on.Combined with particle animation, skeletal animation and other technologies,it can achieve both static and dynamic, immersive effect.
关键词： big data,Natural disaster,3D training,VR,satellite monitoring
更新于2025-09-04 15:30:14
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[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Determination of Degree of Damage on Building Roofs Due to Wind Disaster from Close Range Remote Sensing Images Using Texture Wavelet Analysis
摘要： In the current era of increasing natural disasters, especially wind disasters such as tropical cyclones, tornadoes, thunder storms etc., the need for a rapid damage assessment and mitigation action became inevitable. Detecting damages on a wider perspective using remote sensing images makes the damage investigation much faster. The current work introduces the technology of texture-wavelet analysis for detection of roof damages due to cyclones and tornadoes from close range remote sensing imageries. Degree of Damage (DoD) is quantified by calculating the percentage of damaged portion of the building roofs. A positive correlation factor ranging from 0.75 to 0.80 for remote imagery with respect to the visually measured data as well as field investigation data validates the accuracy of the method. Thus depending on severity measured from the percentage area of damage determined, emergency aid and medication can be prioritized thereby aiding disaster mitigation process.
关键词： Degree of Damage,Remote Sensing Images,Natural Disaster,Texture-Wavelet analysis,Correlation Factor
更新于2025-09-04 15:30:14