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深度强化学习优化物联网传感器数据分析 被引量:1
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作者 何伶俐 《无线互联科技》 2023年第16期8-11,共4页
物联网通过收集不同来源的数据,运用机器学习和深度学习算法来支持智能城市应用程序。然而,传感器收集的数据通常可能存在噪声、冗余或空数据,影响算法性能。为解决此问题,文章提出了一种基于深度强化学习的框架,用于优化物联网传感器... 物联网通过收集不同来源的数据,运用机器学习和深度学习算法来支持智能城市应用程序。然而,传感器收集的数据通常可能存在噪声、冗余或空数据,影响算法性能。为解决此问题,文章提出了一种基于深度强化学习的框架,用于优化物联网传感器数据分析。该框架使用深度Q网络代理来进行传感器数据清理,并将数据分为3类:空、垃圾和正常。实验结果表明,该框架优于基于时间序列的完全连接神经网络方案,准确率约为96%。通过使用深度强化学习进行物联网传感器数据清理,本研究可以有效消除不相关和有害数据,提高应用程序性能。 展开更多
关键词 物联网 深度强化学习 传感器数据分析 数据清理
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健康的机器
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作者 Mark T.Hoske 《软件》 2006年第6期20-25,共6页
如果您的机器没有告诉您它们的感受,您就可能因计划之外的停工和不需要的维护而浪费金钱。因此,请使用诊断和分析工具来帮助设备保持良好状态和最佳工作性能。
关键词 预测性维护 分析传感器数据 不仅仅是数据收集和监控 机器健康的未来
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Study on the Correlation Between Chlorophyll Maximum and Remote Sensing Data 被引量:1
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作者 XIU Peng LIU Yuguang 《Journal of Ocean University of China》 SCIE CAS 2006年第3期213-218,共6页
Based on the in situ optical measurements in the Bohai Sea of China, which belongs to a typical case-2 water area, we studied the characteristics of DCM (deep chlorophyll maximum) such as its spatial distribution, ver... Based on the in situ optical measurements in the Bohai Sea of China, which belongs to a typical case-2 water area, we studied the characteristics of DCM (deep chlorophyll maximum) such as its spatial distribution, vertical profile, etc. We found that when the depth of the chlorophyll maximum is comparatively small, even in turbid coastal water regions, there is always a good correlation between the concentrations of chlorophyll maximum and the satellite-received signals in blue-green spectral bands; the correlation is even better than that between the surface chlorophyll concentrations and the satellite-received signals. The strong correlation existing even in turbid coastal water regions indicates that an ocean color model to retrieve the concentration of DCM can be constructed for coastal waters if a comprehensive knowledge of the vertical distribution of chlorophyll concentration in the Bohai Sea of China is available. 展开更多
关键词 ocean color remote sensing model deep chlorophyll maximum case-2 water
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Unprecedented Retreat in a 50-Year Observational Record for Petermann Glacier, North Greenland 被引量:1
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作者 Ola M. JOHANNESSEN Mohamed BABIKER Martin W. MILES 《Atmospheric and Oceanic Science Letters》 CSCD 2013年第5期259-265,共7页
Petermann Glacier is a marine-terminating outlet glacier that had a 70 km-long floating ice tongue prior to a ~ 270 km2 calving event that was observed from satellite sensors in August 2010,shortening the ice tongue ... Petermann Glacier is a marine-terminating outlet glacier that had a 70 km-long floating ice tongue prior to a ~ 270 km2 calving event that was observed from satellite sensors in August 2010,shortening the ice tongue by ~ 27 km.Further,in July 2012,another 10 km was lost through calving.In order to understand these events in perspective,here the authors perform a long-term data analysis of Petermann Glacier calving-front variability and ice velocity for each year in the 1990s-2000s,supplemented by available observations from the previous three decades.Five major (on the order of 100 krm2) calving events are identified,with ~ 153 km2 calved from 1959 to 1961,~ 168 km2 in 1991,~ 71 km2 in 2001,~ 270 km2 in 2010,and ~ 130 km2 in 2012-as well as ~ 31 k m2 calved in 2008.The increased frequency of major calving events in recent years has left the front terminus position retreated nearly 25 km beyond the range of observed in previous decades.In contrast,stable ice-dynamics are suggested from ice-velocity measurements made each year between 1993-2012,which are on average 1063 m yr-1,with limited interannual variability and no significant trend; moreover,there is no apparent relationship between ice-velocity variability and calving events.The degree to which the massive calving events in 2010 and 2012 represent natural episodic variability or a response to atmospheric and/or oceanic changes remains speculative; however,melt-induced weakening of the floating ice tongue in recent years is strongly suggested. 展开更多
关键词 GREENLAND outlet glaciers iceberg calving satellite remote sensing
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