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Application and evaluation of layering shear method in LADCP data processing

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Acta Oceanologica Sinica 2023年第12期42卷 9-21页

作者： Zijian Cui Chujin Liang Binbin Guo feilong lin Yong Mu Ocean College Zhejiang UniversityZhoushan 316021China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China School of Marine Sciences Nanjing University of Information Science&TechnologyNanjing 210044China National Engineering Research Center of Gas Hydrate Exploration and Development Guangzhou Marine Geological SurveyGuangzhou 510760China

The current velocity observation of LADCP(Lowered Acoustic Doppler Current Profiler)has the advantages of a large vertical range of observation and high operability compared with traditional current measurement methods,and is being widely used in the field of ocean *** and inverse methods are now commonly used by the international marine community to process LADCP data and calculate ocean current *** two methods have their advantages and *** shear method calculates the value of current shear more accurately,while the accuracy in an absolute value of the current is *** inverse method calculates the absolute value of the current velocity more accurately,but the current shear is less *** on the shear method,this paper proposes a layering shear method to calculate the current velocity profile by“layering averaging”,and proposes corresponding current calculation methods according to the different types of problems in several field observation data from the western Pacific,forming an independent LADCP data processing *** comparison results have shown that the layering shear method can achieve the same effect as the inverse method in the calculation of the absolute value of current velocity,while retaining the advantages of the shear method in the calculation of a value of the current shear.

关键词： LADCP data processing layering shear method Western Pacific

Rating-protocol optimization for blockchain-enabled hybrid energy trading in smart grids

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Science China(Information Sciences) 2023年第5期66卷 297-298页

作者： Zheng BAO Changbing TANG feilong lin Zhonglong ZHENG Xinghuo YU College of Mathematics and Computer Science Zhejiang Normal University College of Physics and Electronics Information Engineering Zhejiang Normal University School of Engineering RMIT University

Dear editor,Smart grids, with renewable energy technologies, provide an innovative approach for mitigating the energy crisis caused by the shortage of fossil fuel resources. However, the existing smart grids are confronted with several challenges [1, 2].Specially, the decentralization of resources and the inflexible trading patterns call for a secure infrastructure and an efficient energy management mechanism, respectively.

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Observed characteristics of flow,water mass,and turbulent mixing in the Preparis Channel

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Acta Oceanologica Sinica 2023年第2期42卷 83-93页

作者： Ruijie Ye Feng Zhou Xiao Ma Dingyong Zeng feilong lin Hongliang Li Chenggang Liu Soe Moe Lwin Hlaing Swe Win Soe Pyae Aung State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou310012China School of Oceanography Shanghai Jiao Tong UniversityShanghai200030China Geology Department Dagon UniversityYangon11422Myanmar National Analytical Laboratory Department of Research Innovation Ministry of EducationYangon11061Myanmar Port and Harbour Engineering Department Myanmar Maritime UniversityYangon11293Myanmar

Preparis Channel is the very important exchange path of energy and materials between the northern Bay of Bengal and Andaman Sea(AS).A set of hydrographic measurements,a microstructure profiler,and a deep mooring were used to determine the characteristics of water masses,turbulent mixing,and flows in the Preparis *** unprecedented short-term mooring data reveal that a deep current in the deep narrow passage(below 400 m)of the Preparis Channel flows toward the Bay of Bengal(BoB)with a mean along-stream velocity of 25.26 cm/s at depth of 540 m;above the deep current,there are a relatively weak current flows toward the AS with a mean along-stream velocity of 15.46 cm/s between 500 m and 520 m,and another weak current flows toward the BoB between 430 m and 500 ***,a sandwiched vertical structure of deep currents(below 400 m)is present in the Preparis *** volume transport below 400 m is 0.06 Sv(1 Sv=106 m^(3)/s)from the AS to the *** the upper layer(shallower than 300 m),the sea water of the AS is relatively warmer and fresher than that in the BoB,indicating a strong exchange through the *** profiler observations reveal that the turbulent diffusivity in the upper layer of the Preparis Channel reaches O(10−4 m^(2)/s),one order larger than that in the interior of the BoB and over the continental slope of the northern *** speculate that energetic high-mode internal tides in the Preparis Channel contribute to elevated turbulent *** addition,a local“hotspot”of turbidity is identified at the deep mooring site,at depth of about 100 m,which corresponds to the location of elevated turbulent mixing in the Preparis Channel.

关键词： deep flow turbulent mixing water mass Preparis Channel

Overhead-free Noise-tolerant Federated Learning: A New Baseline

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Machine Intelligence Research 2024年第3期21卷 526-537页

作者： Shiyi lin Deming Zhai feilong Zhang Junjun Jiang Xianming Liu Xiangyang Ji Department of Computer Science and Technology Harbin Institute of TechnologyHarbin150000China Department of Automation Tsinghua UniversityBeijing100084China

Federated learning (FL) is a promising decentralized machine learning approach that enables multiple distributed clients to train a model jointly while keeping their data private. However, in real-world scenarios, the supervised training data stored in local clients inevitably suffer from imperfect annotations, resulting in subjective, inconsistent and biased labels. These noisy labels can harm the collaborative aggregation process of FL by inducing inconsistent decision boundaries. Unfortunately, few attempts have been made towards noise-tolerant federated learning, with most of them relying on the strategy of transmitting overhead messages to assist noisy labels detection and correction, which increases the communication burden as well as privacy risks. In this paper, we propose a simple yet effective method for noise-tolerant FL based on the well-established co-training framework. Our method leverages the inherent discrepancy in the learning ability of the local and global models in FL, which can be regarded as two complementary views. By iteratively exchanging samples with their high confident predictions, the two models “teach each other” to suppress the influence of noisy labels. The proposed scheme enjoys the benefit of overhead cost-free and can serve as a robust and efficient baseline for noise-tolerant federated learning. Experimental results demonstrate that our method outperforms existing approaches, highlighting the superiority of our method.

关键词： Federated learning noise-label learning privacy-preserving machine learning edge intelligence distributed machine learning

Epipelagic mesozooplankton communities in the northeastern Indian Ocean off Myanmar during the winter monsoon

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Acta Oceanologica Sinica 2023年第6期42卷 57-69页

作者： Ping Du Dingyong Zeng feilong lin Sanda Naing Zhibing Jiang Jingjing Zhang Di Tian Qinghe Liu Yuanli Zhu Soe Moe Lwin Wenqi Ye Chenggang Liu Lu Shou Feng Zhou Key Laboratory of Marine Ecosystem Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of OceanographyMinistry of Natural ResourcesHangzhou 310012China Port and Harbour Engineering Department Myanmar Maritime UniversityYangon 11293Myanmar Geology Department Dagon UniversityYangon 11422Myanmar

The northern Andaman Sea off Myanmar is one of the relatively high productive regions in the Indian *** abundance,biomass and species composition of mesozooplankton and their relationships with environmental variables in the epipelagic zone(~200 m)were studied for the first time during the Sino-Myanmar joint cruise(February 2020).The mean abundance and biomass of mesozooplankton were(1916.7±1192.9)ind./m3and(17.8±7.9)mg/m3,respectively.A total of 213 species(taxa)were identified from all *** omnivorous Cyclopoida Oncaea venusta and Oithona *** the top two dominant *** mesozooplankton communities were determined via cluster analysis:the open ocean in the Andaman Sea and the Bay of Bengal(Group A),the transition zone across the Preparis Channel(Group B),and nearshore water off the Ayeyarwady Delta and along the Tanintharyi Coast(Group C).Variation partitioning analysis revealed that the interaction of physical and biological factors explained 98.8%of mesozooplankton community spatial variation,and redundancy analysis revealed that column mean chlorophyll a concentration(CMCHLA)was the most important explanatory variable(43.1%).The abundance and biomass were significantly higher in Group C,the same as CMCHLA and column mean temperature(CMT)and in contrast to salinity,and CMT was the dominant *** taxon spatial variations were controlled by CMCHLA,salinity and *** study suggested that mesozooplankton spatial variation was mainly regulated by physical processes through their effects on *** physical processes were simultaneously affected by heat loss differences,freshwater influx,eddies and depth.

关键词： mesozooplankton Myanmar epipelagic zone physical processes water column mean chlorophyll a

The influence of background waves on internal solitary waves after the transit of Typhoon Neast in the northern South China Sea

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Acta Oceanologica Sinica 2014年第12期33卷 40-47页

作者： lin feilong HOU Yijun LIU Ze HU Po FANG Yong DUAN Yongliang Institute of Oceanology Chinese Academy of Sciences Key Laboratory of Ocean Circulation and Waves (KLOCAW) Chinese Academy of Sciences University of Chinese Academy of Sciences Center for Ocean and Climate Research First Institute of Oceanography State Oceanic Administration

On the basis of the time series observations from a temperature chain and an acoustic Doppler current profiler on the continental shelf of the northern South China Sea, a sequence of internal solitary waves （ISWs） and background waves （BWs, including internal tides and near-inertial waves） on the continental shelf were captured simultaneously after the transit of Typhoon Neast in October 2011. These measurementsprovided a unique opportunity to explore the influence of BWs on the ISWs. The BWs appeared a conversion on the current strength and vertical mode structure during the observational period. The BWs were dominated by weak and mode-one waves before October 2 and then turned to strong and high-mode waves after that time. Meanwhile, the ISWs displayed different wave structures before and after October 2, which was closely related to BWs＇ changes. According to the current profiles of BWs, the high-mode wave structure with strong current could significantly strengthen the vertical shear of ISWs in the near-surface layer and promote the breaking of ISWs, and thus it may play an important role in affecting the background current condition.

关键词： internal solitary wave shear instability near-inertial waves internal tides

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南海北部的春季流场季节内变异个例分析

海洋学报 2023年第12期45卷 1-12页

作者：刘雪梁楚进蔺飞龙南京信息工程大学海洋科学学院江苏南京210044 自然资源部第二海洋研究所卫星海洋环境动力学国家重点实验室浙江杭州310012

在南海北部,与中尺度涡相关的季节内变异特征十分显著,通过比较不同时期流场的季节内变异特征,有助于揭示不同动力不稳定中尺度涡对季节内活动的影响。本文以南海北部2009年春季和2020年春季为例,分析了两个时期中尺度涡的动力不稳定性... 详细信息

在南海北部,与中尺度涡相关的季节内变异特征十分显著,通过比较不同时期流场的季节内变异特征,有助于揭示不同动力不稳定中尺度涡对季节内活动的影响。本文以南海北部2009年春季和2020年春季为例,分析了两个时期中尺度涡的动力不稳定性,从而探究季节内变异特征。基于潜标实测流速数据,本文进行了动能谱分析,结果显示这两个时期的流场季节内变异具有相似特征,显著周期分别为10-60 d和30-90 d。季节内信号主要出现在200 m以上的上表层水域,其中30-90 d的季节内流是对应观测期间的主要季节内成分。滞后回归分析和动力不稳定性的计算表明,2009年春季的季节内变异受移动快但强度弱的表层中尺度涡影响,动力不稳定性由斜压不稳定和正压不稳定共同调制;而2020年春季的季节内变异是受强斜压性的中尺度涡影响,通过流速垂向切变增强,从而较快地触发流场季节内变异的发生。本文研究结果有助于深入了解中尺度涡对南海北部季节内活动的影响机制,为海洋动力学和气候研究提供了重要的参考和理论基础。

关键词：南海北部流场季节内变异中尺度涡海洋动力不稳定

自由投放式声学多普勒海流剖面观测及数据处理

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海洋学报 2023年第4期45卷 144-153页

作者：牟勇梁楚进蔺飞龙崔子健自然资源部第二海洋研究所卫星海洋环境动力学国家重点实验室浙江杭州310012 南京信息工程大学海洋科学学院江苏南京210044 浙江大学海洋学院浙江杭州310058

自由投放式声学多普勒海流剖面(FADCP)观测以“自由落体”方式进行采样,其不依赖于测船钢缆牵引即可对全深度海流进行观测,观测稳定性较下放式声学多普勒海流剖面(LADCP)大幅提升,有效减少了观测值之中的不规则运动。2021年4月与9月在... 详细信息

自由投放式声学多普勒海流剖面(FADCP)观测以“自由落体”方式进行采样,其不依赖于测船钢缆牵引即可对全深度海流进行观测,观测稳定性较下放式声学多普勒海流剖面(LADCP)大幅提升,有效减少了观测值之中的不规则运动。2021年4月与9月在南海西沙海域开展的FADCP观测实验获得了两个断面包含16个站的海流及CTD资料。基于静置期间的真实底流观测,各站全深度的海流剖面采用剪切法获得,潜标附近站位剖面与潜标观测剖面相比,平均流速偏差为3cm/s。观测断面捕捉到了西沙海域两个时期的气旋涡,其垂直结构比HYCOM模拟更精细,表层流与绝对地转流契合。研究表明,FADCP对测船要求低、数据质量高,其后处理简便且结果良好,但无法对特定水层实施补充观测。

关键词：自由投放式声学多普勒海流剖面 LADCP 剪切法

The Multi-Agent Modeling and Calculated Analysis of Shop Logistics Scheduling in the Manufacturing Enterprises

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武汉理工大学学报 2006年第S1期28卷 376-380页

作者： CHEN Yong,lin feilong,WANG Xiao,TANG Kefeng (College of Mechanical & Electrical Engineering,Zhejiang University of Technology,Hangzhou 310032,China) College of Mechanical & Electrical Engineering Zhejiang University of TechnologyHangzhou 310032China

In this paper,the multi-agent model about shop logistics is set up. This model has 8 agents: raw materials stock agent,process agent,testing agent,transition agent,production information agent,scheduling agent,process agent and stock agent. The scheduling agent has three subagents: manager agent (MA),resource agent (RA) and part agent (PA). MA,PA and RA are communicating equally that guarantees agility of the whole MAS system. The part tasks pass between MA,RA and PA as an integer,which can guarantee the consistency of the data. We use a detailed example about shop logistics scheduling in a semiconductor company to explain the principle. In this example,we use two scheduling strategies: FCFS and SPT. The result data indicates that the average flow time and lingering ratio are changed using different strategy. It is proves that the multi-agent scheduling is useful.

关键词： modeling multi-agent scheduling shop logistics