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	Probabilistic Automata-Based Method for Enhancing Performance of Deep Reinforcement Learning Systems 期刊论文 OAI收割 IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 11, 页码: 2327-2339 作者: Min Yang; Guanjun Liu; Ziyuan Zhou; Jiacun Wang \| 收藏 \| 浏览/下载：4/0 \| 提交时间：2024/10/09 Deep reinforcement learning (DRL) performance improvement framework probabilistic automata real-time monitoring the key probabilistic decision-making units (PDMU)-action pair
	The Kunming-Montreal Global Biodiversity Framework: what it does and does not do, and how to improve it 期刊论文 OAI收割 FRONTIERS IN ENVIRONMENTAL SCIENCE, 2023, 卷号: 11, 页码: 1281536 作者: Hughes,Alice C.; Grumbine,R. Edward \| 收藏 \| 浏览/下载：8/0 \| 提交时间：2024/07/10 convention on biological diversity monitoring framework diversity indicators science-policy interface conservation evidence
	Challenges and possible solutions to creating an achievable and effective Post-2020 Global Biodiversity Framework 期刊论文 OAI收割 ECOSYSTEM HEALTH AND SUSTAINABILITY, 2022, 卷号: 8, 期号: 1 作者: Hughes, Alice; Shen, Xiaoli; Corlett, Richard; Li, Lin; Luo, Maofang \| 收藏 \| 浏览/下载：12/0 \| 提交时间：2024/03/07 Convention on Biological Diversity Aichi Targets monitoring framework sustainable development
	Improved ecological monitoring for urban ecosystem protection in China 期刊论文 OAI收割 ECOLOGICAL INDICATORS, 2021, 卷号: 120, 页码: _ 作者: Wang, Min; Jiang, Bo; Alatalo, Juha M.; Bai, Yang; Wang, Qing \| 收藏 \| 浏览/下载：52/0 \| 提交时间：2020/12/31 Ecological monitoring Science-policy framework Standards Shanghai Metropolitan parks
	An Integrated System for Regional Environmental Monitoring and Management Based on Internet of Things SCI/SSCI论文 OAI收割 2014 Fang S. F.; Xu L. D.; Zhu Y. Q.; Ahati J.; Pei H.; Yan J. W.; Liu Z. H. 收藏 \| 浏览/下载：43/0 \| 提交时间：2014/12/24 Big data climate change cloud computing enterprise systems environmental monitoring and management e-Science geoinformatics industrial informatics Internet of Things (IoT) system integration information-systems service workflow design architecture framework mobile iot
	Variations of nitrogen transport in the mainstream of the Yellow River, China SCI/SSCI论文 OAI收割 2013 Wang Z. M.; Song X. F.; Li G. M.; Zhang J. F.; Yu G. R.; Sun X. M. 收藏 \| 浏览/下载：173/0 \| 提交时间：2014/12/24 Yellow River nitrogen flux monitoring Bohai Sea China principal component analysis modeling framework export pollution basin contamination inputs plain
	The new approach for infrared target tracking based on the particle filter algorithm (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China 作者: Sun H.; Han H.-X.; Sun H. 收藏 \| 浏览/下载：60/0 \| 提交时间：2013/03/25 Target tracking on the complex background in the infrared image sequence is hot research field. It provides the important basis in some fields such as video monitoring precision and video compression human-computer interaction. As a typical algorithms in the target tracking framework based on filtering and data connection the particle filter with non-parameter estimation characteristic have ability to deal with nonlinear and non-Gaussian problems so it were widely used. There are various forms of density in the particle filter algorithm to make it valid when target occlusion occurred or recover tracking back from failure in track procedure but in order to capture the change of the state space it need a certain amount of particles to ensure samples is enough and this number will increase in accompany with dimension and increase exponentially this led to the increased amount of calculation is presented. In this paper particle filter algorithm and the Mean shift will be combined. Aiming at deficiencies of the classic mean shift Tracking algorithm easily trapped into local minima and Unable to get global optimal under the complex background. From these two perspectives that "adaptive multiple information fusion" and "with particle filter framework combining" we expand the classic Mean Shift tracking framework.Based on the previous perspective we proposed an improved Mean Shift infrared target tracking algorithm based on multiple information fusion. In the analysis of the infrared characteristics of target basis Algorithm firstly extracted target gray and edge character and Proposed to guide the above two characteristics by the moving of the target information thus we can get new sports guide grayscale characteristics and motion guide border feature. Then proposes a new adaptive fusion mechanism used these two new information adaptive to integrate into the Mean Shift tracking framework. Finally we designed a kind of automatic target model updating strategy to further improve tracking performance. Experimental results show that this algorithm can compensate shortcoming of the particle filter has too much computation and can effectively overcome the fault that mean shift is easy to fall into local extreme value instead of global maximum value.Last because of the gray and fusion target motion information this approach also inhibit interference from the background ultimately improve the stability and the real-time of the target track. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
	moteplat: a monitoring and control platform for wireless sensor networks 会议论文 OAI收割 5th International Conference on Grid and Cooperative Computing (GCC 2006), Hunan, PEOPLES R CHINA, OCT 21-23, Sun Limin; Sun Yuyan; Shu Jian; He Qingwei \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2011/07/28 TinyOS agent mechanism network performance testing node status information acquisition software architecture software module debugging three-tier application framework wireless sensor network control wireless sensor network monitoring performance evaluati
	moteplat: a monitoring and control platform for wireless sensor networks 会议论文 OAI收割 5th International Conference on Grid and Cooperative Computing (GCC 2006), Hunan, PEOPLES R CHINA, OCT 21-23, Sun Limin; Sun Yuyan; Shu Jian; He Qingwei \| 收藏 \| 浏览/下载：16/0 \| 提交时间：2011/07/28 TinyOS agent mechanism network performance testing node status information acquisition software architecture software module debugging three-tier application framework wireless sensor network control wireless sensor network monitoring performance evaluati