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| 1 | Clustering Structure Analysis in Time-Series Data With Density-Based Clusterability Measure显示文摘Clustering is used to gain an intuition of the struc tures in the data.Most of the current clustering algorithms pro duce a clustering structure even on data that do not possess such structure.In these cases,the algorithms force a structure in the data instead of discovering one.To avoid false structures in the relations of data,a novel clusterability assessment method called density-based clusterability measure is proposed in this paper.I measures the prominence of clustering structure in the data to evaluate whether a cluster analysis could produce a meaningfu insight to the relationships in the data.This is especially useful in time-series data since visualizing the structure in time-series data is hard.The performance of the clusterability measure is evalu ated against several synthetic data sets and time-series data sets which illustrate that the density-based clusterability measure can successfully indicate clustering structure of time-series data. | Juho Jokinen Tomi Raty Timo Lintonen | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，6： | 6 |
| 2 | Two-Order Approximate and Large Stepsize Numerical Direction Based on the Quadratic Hypothesis and Fitting Method显示文摘Many effective optimization algorithms require partial derivatives of objective functions, while some optimization problems' objective functions have no derivatives. According to former research studies, some search directions are obtained using the quadratic hypothesis of objective functions. Based on derivatives, quadratic function assumptions, and directional derivatives, the computational formulas of numerical first-order partial derivatives, second-order partial derivatives, and numerical second-order mixed partial derivatives were constructed. Based on the coordinate transformation relation, a set of orthogonal vectors in the fixed coordinate system was established according to the optimization direction. A numerical algorithm was proposed, taking the second order approximation direction as an example. A large stepsize numerical algorithm based on coordinate transformation was proposed. Several algorithms were validated by an unconstrained optimization of the two-dimensional Rosenbrock objective function. The numerical second order approximation direction with the numerical mixed partial derivatives showed good results. Its calculated amount is 0.2843% of that of without second-order mixed partial derivative. In the process of rotating the local coordinate system 360°, because the objective function is more complex than the quadratic function, if the numerical direction derivative is used instead of the analytic partial derivative, the optimization direction varies with a range of 103.05°. Because theoretical error is in the numerical negative gradient direction, the calculation with the coordinate transformation is 94.71% less than the calculation without coordinate transformation. If there is no theoretical error in the numerical negative gradient direction or in the large-stepsize numerical optimization algorithm based on the coordinate transformation, the sawtooth phenomenon occurs. When each numerical mixed partial derivative takes more than one point, the optimization results cannot be improved. The numerical direction based on the quadratic hypothesis only requires the objective function to be obtained, but does not require derivability and does not take into account truncation error and rounding error. Thus, the application scopes of many optimization methods are extended. | Xiaoli Yin Chunming Li Yuan Zhang | 2020 | IEEE/CAA Journal of Automatica Sinica2020，7，3： | 3 |
| 3 | Guided Crowd Evacuation:Approaches and Challenges显示文摘Evacuation leaders and/or equipment provide route and exit information for people and guide them to the expected destinations, which could make crowd evacuation more efficient in case of emergency. The purpose of this paper is to provide an overview of recent advances in guided crowd evacuation. Different guided crowd evacuation approaches are classified according to guidance approaches and technologies. A comprehensive analysis and comparison of crowd evacuation with static signage, dynamic signage, trained leader, mobile devices, mobile robot and wireless sensor networks are presented based on a single guidance mode perspective. In addition, the different evacuation guidance systems that use high-tech means such as advanced intelligent monitoring techniques, AI techniques, computer technology and intelligent inducing algorithms are reviewed from a system’s perspective. Future researches in the area of crowd evacuation are also discussed. | Min Zhou Hairong Dong Petros A.Ioannou Yanbo Zhao Fei-Yue Wang | 2019 | IEEE/CAA Journal of Automatica Sinica2019，6，5： | 3 |
| 4 | 基于Anylogic的大空间建筑引导员疏散引导研究显示文摘针对大空间建筑公共场所人员疏散问题,以疏散时间为评价指标,以人员密度为影响因素,基于Anylogic仿真平台对不同引导疏散策略进行仿真研究。结合引导员的数量、位置和有效指挥范围,主要研究平分出口等面积分区引导、基于最短路径优化引导,以及结合平分出口等面积分区与最短路径优化的3种静态引导策略,并与无引导的疏散进行对比。仿真结果表明:无引导的疏散效率最低,结合按平分出口的等面积分区与最短路径的引导策略疏散效率最高,基于最短路径的引导策略疏散效率随人数的变化呈现先高后低的特点,按平分出口等面积分区的引导策略疏散效率随人数变化呈现先低后高的趋势。 | 唐健 胡玉玲 王亚慧 | 2021 | 消防科学与技术2021，40，11： | 3 |
| 5 | 我国海上平台EERA现状与发展方向研究显示文摘EERA是发生事故时人员安全撤离的重要手段,随着海洋油气开发进程的加快,海上平台的布局结构与种类更加复杂,对海上平台EERA提出了更高的要求。首先介绍了EERA的概念与重要性,对海上平台与隧道/地铁、建筑行业领域的EERA研究现状进行了系统阐述;继而总结了开展EERA分析的具体流程与相关要求;最后指出随着海上多平台相连形式的出现,平台类型和数量的增多,事故场景复杂化,单平台EERA与多平台的适应性有待进一步考证,需根据具体平台类型、平台连接方式、事故场景等因素,进一步完善优化EERA方案。 | 曹杨 王浩东 王红红 刘涛 雷博雯 杨雅琪 盖文妹 | 2023 | 工业安全与环保2023，49，S02： | 0 |
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