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Multi-scale regionalization based mining of spatio-temporal teleconnection patterns between anomalous sea and land climate events

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Journal of Central South University 2017年第10期24卷 2438-2448页

作者： XU Feng SHI Yan deng Min GONG Jian-ya LIU Qi-liang JIN Rui Department of Geo-informatics Central South UniversityChangsha 410083China State Key Laboratory of Information Engineering in Surveying(Mapping&Remote Sensing Wuhan University)Wuhan 430079China Collaborative Innovation Center of Geospatial Technology Wuhan UniversityWuhan 430079China

Climate sequences can be applied to defining sensitive climate zones, and then the mining of spatio-temporal teleconnection patterns is useful for learning from the past and preparing for the future. However, scale-dependency in this kind of pattern is still not well handled by existing work. Therefore, in this study, the multi-scale regionalization is embedded into the spatio-temporal teleconnection pattern mining between anomalous sea and land climatic events. A modified scale-space clustering algorithm is first developed to group climate sequences into multi-scale climate zones. Then, scale variance analysis method is employed to identify climate zones at characteristic scales, indicating the main characteristics of geographical phenomena. Finally, by using the climate zones identified at characteristic scales, a time association rule mining algorithm based on sliding time windows is employed to discover spatio-temporal teleconnection patterns. Experiments on sea surface temperature, sea level pressure, land precipitation and land temperature datasets show that many patterns obtained by the multi-scale approach are coincident with prior knowledge, indicating that this method is effective and reasonable. In addition, some unknown teleconnection patterns discovered from the multi-scale approach can be further used to guide the prediction of land climate.

关键词： climate sequences anomalous climatic events spatio-temporal teleconnection patterns multi-scale regionalization

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Fixed-point blind source separation algorithm based on ICA

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Frontiers of Electrical and Electronic Engineering in China 2008年第3期3卷 343-346页

作者： Hongyan LI Jianfen MA deng’ao LI Huakui WANG College of Information Engineering Taiyuan University of TechnologyTaiyuan 030024China

This paper introduces the fixed-point learning algorithm based on independent component analysis(ICA);the model and process of this algorithm and simulation results are *** was adopted as the estimation rule of *** results of the experiment show that compared with the traditional ICA algorithm based on random grads,this algorithm has advantages such as fast convergence and no necessity for any dynamic parameter,*** algorithm is a highly efficient and reliable method in blind signal separation.

关键词： independent component analysis(ICA) blind source separation fixed-point algorithm

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基于GIS的目平湖泥沙冲淤变化空间定量分析

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中南大学学报（自然科学版） 2007年第5期38卷 1000-1006页

作者：邓吉秋中南大学地学与环境工程学院湖南长沙410083

针对洞庭湖泥沙研究大多基于物理与数学方法的现状,为实现泥沙冲淤变化的空间定位与可视化,基于GIS的空间数据处理与空间分析,提出泥沙冲淤变化空间定量计算与分析的综合方法。其步骤是:通过收集水下地形数据,建立数字高程模型;根据不... 详细信息

针对洞庭湖泥沙研究大多基于物理与数学方法的现状,为实现泥沙冲淤变化的空间定位与可视化,基于GIS的空间数据处理与空间分析,提出泥沙冲淤变化空间定量计算与分析的综合方法。其步骤是:通过收集水下地形数据,建立数字高程模型;根据不同时间的高程模型计算容积及其变化;对冲淤区域进行空间划分,计算各区域冲淤量;总结泥沙冲淤的总体与局部规律。选择西洞庭目平湖,运用该方法,定量计算其库容,分析湖底地形变化情况,对冲淤变化区域进行空间划分,最后分析并总结其冲淤变化规律。研究结果表明:目平湖约85.42%处于淤积状态,少部分处于冲刷状态,北部淤积现象较严重,泥沙淤积由北向南、由西向东减少。

关键词：泥沙冲淤空间定量分析 GIS 目平湖洞庭湖

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Parameter Identification of Magic Formula Tire Model Based on Fibonacci Tree Optimization Algorithm

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Journal of Shanghai Jiaotong university(Science) 2021年第5期26卷 647-657页

作者： FENG Shilin ZHAO Youqun deng Huifan WANG Qiuwei CHEN Tingting College of Energy and Power Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China Department of IEOR University of CaliforniaBerkeleyBerkeleyCA 94720USA

The magic formula(MF)tire model is a semi-empirical tire model that can precisely simulate tire *** heuristic optimization algorithm is typically used for parameter identification of the MF tire *** avoid the defect of the traditional heuristic optimization algorithm that can easily fall into the local optimum,a parameter identification method based on the Fibonacci tree optimization(FTO)algorithm is proposed,which is used to identify the parameters of the MF tire *** proposed method establishes the basic structure of the Fibonacci tree alternately through global and local searches and completes optimization *** global search rule in the original FTO was modified to improve its *** results of independent repeated experiments on two typical multimodal function optimizations and the parameter identification results showed that FTO was not sensitive to the initial *** addition,it had a better global optimization performance than genetic algorithm(GA)and particle swarm optimization(PSO).The root mean square error values optimized with FTO were 5.09%,10.22%,and 3.98%less than the GA,and 6.04%,4.47%,and 16.42%less than the PSO in pure lateral and longitudinal forces,and pure aligning torque parameter *** parameter identification method based on FTO was found to be effective.

关键词： magic formula tire model parameter identification Fibonacci tree optimization(FTO)algorithm

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Ab initio studies of the 1,2-rearrangements of alkylidenecarbenes XYC=C: (X, Y = Cl, H, Me and F)

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Chinese Journal of Chemistry 1988年第3期6卷 196-202页

作者： WANG Bing-Ze* deng Cong-Hao, Department of Chemistry, Shandong University, Jinan Department of Chemistry Shandong University Jinan

The 1, 2-rearrangements of alkylidenecarbenes XYC=C: (X, Y=CI, H, Me and F)have been studied by using RHF/STO-3G gradient method. For these systems at the STO-3G level,the shift reactivities are in the order of CI>H>Me>F; the fixed groups with lower shift reactivitiesenhance the reactivities of the shift groups; the shift rule is that the group with a smaller angle formedby its center with C=C bond migrates prior to the others.

关键词： Me and F Ab initio studies of the 1,2-rearrangements of alkylidenecarbenes XYC Cl

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Two-level Robust Measurement Fusion Kalman Filter for Clustering Sensor Networks

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自动化学报 2014年第11期40卷 2585-2594页

作者： ZHANG Peng QI Wen-Juan deng Zi-Li Department of Automation Heilongjiang University Harbin 150080 China Department of Communication and Electronic Engineering Qiqihar University Qiqihar 161000 China

This paper investigates the distributed fusion Kalman filtering over clustering sensor networks. The sensor network is partitioned as clusters by the nearest neighbor rule and each cluster consists of sensing nodes and cluster-head. Using the minimax robust estimation principle, based on the worst-case conservative system with the conservative upper bounds of noise variances, two-level robust measurement fusion Kalman filter is presented for the clustering sensor network systems with uncertain noise variances. It can significantly reduce the communication load and save energy when the number of sensors is very large. A Lyapunov equation approach for the robustness analysis is presented, by which the robustness of the local and fused Kalman filters is proved. The concept of the robust accuracy is presented, and the robust accuracy relations among the local and fused robust Kalman filters are proved. It is proved that the robust accuracy of the two-level weighted measurement fuser is equal to that of the global centralized robust fuser and is higher than those of each local robust filter and each local weighted measurement fuser. A simulation example shows the correctness and effectiveness of the proposed results.

关键词：卡尔曼滤波器传感器网络簇头 Kalman滤波器 Lyapunov方程鲁棒估计观测测量融合

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Robust Sequential Covariance Intersection Fusion Kalman Filtering over Multi-agent Sensor Networks with Measurement Delays and Uncertain Noise Variances

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自动化学报 2014年第11期40卷 2632-2642页

作者： QI Wen-Juan ZHANG Peng deng Zi-Li Department of Automation Heilongjiang University Harbin 150080 China

This paper deals with the problem of designing robust sequential covariance intersection (SCI) fusion Kalman filter for the clustering multi-agent sensor network system with measurement delays and uncertain noise variances. The sensor network is partitioned into clusters by the nearest neighbor rule. Using the minimax robust estimation principle, based on the worst-case conservative sensor network system with conservative upper bounds of noise variances, and applying the unbiased linear minimum variance (ULMV) optimal estimation rule, we present the two-layer SCI fusion robust steady-state Kalman filter which can reduce communication and computation burdens and save energy sources, and guarantee that the actual filtering error variances have a less-conservative upper-bound. A Lyapunov equation method for robustness analysis is proposed, by which the robustness of the local and fused Kalman filters is proved. The concept of the robust accuracy is presented and the robust accuracy relations of the local and fused robust Kalman filters are proved. It is proved that the robust accuracy of the global SCI fuser is higher than those of the local SCI fusers and the robust accuracies of all SCI fusers are higher than that of each local robust Kalman filter. A simulation example for a tracking system verifies the robustness and robust accuracy relations.

关键词： Kalman滤波传感器网络测量不确定噪声方差网络延迟多代理卡尔曼滤波器协方差

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Efficient vulnerability detection based on an optimized rule-checking static analysis technique

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Frontiers of Information Technology & Electronic Engineering 2017年第3期18卷 332-345页

作者： deng CHEN Yan-duo ZHANG Wei WEI Shi-xun WANG Ru-bing HUANG Xiao-lin LI Bin-bin QU Sheng JIANG Hubei Provincial Key Laboratory of Intelligent Robot Wuhan Institute of TechnologyWuhan 430205China Industrial Robot Engineering Center Wuhan Institute of TechnologyWuhan 430205China School of Computer and Information Engineering Henan Normal UniversityXinxiang 453007China School of Computer Science and Telecommunication Engineering Jiangsu UniversityZhenjiang 212013China School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China

Static analysis is an efficient approach for software assurance. It is indicated that its most effective usage is to perform analysis in an interactive way through the software development process, which has a high performance requirement. This paper concentrates on rule-based static analysis tools and proposes an optimized rule-checking algorithm. Our technique improves the performance of static analysis tools by filtering vulnerability rules in terms of characteristic objects before checking source files. Since a source file always contains vulnerabilities of a small part of rules rather than all, our approach may achieve better performance. To investigate our technique's feasibility and effectiveness, we implemented it in an open source static analysis tool called PMD and used it to conduct experiments. Experimental results show that our approach can obtain an average performance promotion of 28.7% compared with the original PMD. While our approach is effective and precise in detecting vulnerabilities, there is no side effect.

关键词： rule-based static analysis Software quality Software validation Performance improvement

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用逼近型3^(1/2)细分方法构造闭三角网格的插值曲面

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计算机辅助设计与图形学学报 2010年第2期22卷 312-317,326页

作者：邓重阳杭州电子科技大学应用数学与工程计算研究所杭州310018 浙江大学CAD＆CG国家重点实验室杭州310058

为了避免用逼近型3^(1/2)细分方法构造插值曲面过程中出现的烦琐运算,利用3细分方法极限点计算公式,提出一种用逼近型3^(1/2)细分方法构造闭三角网格插值曲面的方法.给定待插值的闭三角网格,先用一个新的几何规则与原3^(1/2)细分方法的... 详细信息

为了避免用逼近型3^(1/2)细分方法构造插值曲面过程中出现的烦琐运算,利用3细分方法极限点计算公式,提出一种用逼近型3^(1/2)细分方法构造闭三角网格插值曲面的方法.给定待插值的闭三角网格,先用一个新的几何规则与原3^(1/2)细分方法的拓扑规则细分一次得到一个初始网格,用3^(1/2)细分方法细分该初始网格得到插值曲面;新几何规则根据极限点公式确定,保证了初始网格的极限曲面插值待插值的三角网格.由于初始网格的顶点仅与待插值顶点2邻域内的点相关,所以插值曲面具有良好的局部性,即改变一个待插值点的位置时,只影响插值曲面在其附近的形状.该方法中只有确定初始网格顶点的几何规则与原3细分方法不同,故易于整合到原有的细分系统中.实验结果表明,该方法具有计算简单、有充分的自由度调整插值曲面的形状等特点,使得利用3^(1/2)细分方法构造三角网格的插值曲面变得极其简单.

关键词：细分曲面逼近型细分方法 √3细分方法曲面插值

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CATCAM: a 28 nm constant-time alteration TCAM enabling less than 50 ns update latency

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Science China(Information Sciences) 2024年第4期67卷 345-346页

作者： Chenchen deng Tianzhu XIONG Zhaoshi LI Zhiwei LIU Yao WANG Jianfeng ZHU Jun YANG Shaojun WEI Leibo LIU Beijing National Research Center for Information Science and Technology Tsinghua University National ASIC System Engineering Center School of Integrated CircuitsSoutheast University School of Integrated Circuits Tsinghua University

Ternary content-addressable memory(TCAM) is an indispensable component of lookup tables in switches or ***, it suffers from expensive and inflexible update operations and cannot fulfill the demand for rule updates in switches enabling software-defined networking(SDN). The main reason is that TCAM stores rules from top to bottom in decreasing order of priority for disambiguation. Updating a TCAM is similar to the insertion sort that takes O(n) time,

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