In this paper, we apply the recursive genetic programming (RGP) approach to the cognition of a system, and then proceed to the detecting procedure for structural changes in the system whose components are of long memo...In this paper, we apply the recursive genetic programming (RGP) approach to the cognition of a system, and then proceed to the detecting procedure for structural changes in the system whose components are of long memory. This approach is adaptive and model-free, which can simulate the individual activities of the system's participants, therefore, it has strong ability to recognize the operating mechanism of the system. Based on the previous cognition about the system, a testing statistic is developed for the detection of structural changes in the system. Furthermore, an example is presented to illustrate the validity and practical value of the proposed.展开更多
A novel slow-down set waveform is proposed to improve the set performance and a 1 kb phase change random access memory chip fabricated with a 13nm CMOS technology is implemented to investigate the set performance by d...A novel slow-down set waveform is proposed to improve the set performance and a 1 kb phase change random access memory chip fabricated with a 13nm CMOS technology is implemented to investigate the set performance by different set programming strategies based on this new set pulse. The amplitude difference （I1 - I2） of the set pulse is proved to be a crucial parameter for set programming. We observe and analyze the cell characteristics with different I1 - I2 by means of thermal simulations and high-resolution transmission electron microscopy, which reveal that an incomplete set programming will occur when the proposed slow-down pulse is set with an improperly high I1 - I2. This will lead to an amorphous residue in the active region. We also discuss the programming method to avoid the set performance degradations.展开更多
In order to improve the accuracy of prediction when using the empirical orthogonal function （EOF） method, this paper describes a novel approach for two-dimensional （2D） EOF analysis based on extrapolating both the...In order to improve the accuracy of prediction when using the empirical orthogonal function （EOF） method, this paper describes a novel approach for two-dimensional （2D） EOF analysis based on extrapolating both the spatial and temporal EOF components for long-term prediction of coastal morphological changes. The approach was investigated with data obtained from a process-based numerical model, COAST2D, which was applied to an idealized study site with a group of shore-parallel breakwaters. The progressive behavior of the spatial and temporal EOF components, related to bathymetric changes over a training period, was demonstrated, and EOF components were extrapolated with combined linear and exponential functions for long-term prediction. The extrapolated EOF components were then used to reconstruct bathymetric changes. The comparison of the reconstructed bathymetric changes with the modeled results from the COAST2D model illustrates that the presented approach can be effective for long-term prediction of coastal morphological changes, and extrapolating both the spatial and temporal EOF components yields better results than extrapolating only the temporal EOF component.展开更多
大洋性鱿鱼是海洋中重要的经济类群,在海洋生态系统中扮演着重要的角色。通过Web of Science核心合集获取的文献数据,利用文献计量学与CiteSpace软件的共现分析、聚类分析与突变检测等分析方法,对该主题1991—2021年的年度发文量分布、...大洋性鱿鱼是海洋中重要的经济类群,在海洋生态系统中扮演着重要的角色。通过Web of Science核心合集获取的文献数据,利用文献计量学与CiteSpace软件的共现分析、聚类分析与突变检测等分析方法,对该主题1991—2021年的年度发文量分布、作者及研究机构组成与合作、研究主题演变及热点展示等方面进行了分析。结果显示,研究文献的年度分布总体呈现动态递增趋势;主要作者间合作密切,形成分别以中国上海海洋大学CHEN X J(陈新军)等、美国缅因大学CHEN Y(陈勇)等、西班牙海洋研究所PIERCE G J等以及葡萄牙生物资源研究所PEREIRA J等为核心的4个合作关系密切的作者群,并形成稳定的合作关系;主要研究机构中,英国南极调查局、法国海洋开发研究院、美国国家海洋和大气管理局、阿伯丁大学、西班牙海洋研究所、戴尔豪斯大学等机构的国际合作能力较强;主要研究国家或地区方面,美国、德国、日本、中国内地、英格兰等为该主题的主要研究力量。当前该主题的研究热点共分为5个方面:1)气候变化对大洋性鱿鱼资源种群动态的影响;2)基于生态系统的鱿鱼渔业管理策略研究;3)气候变化对大洋性鱿鱼的生活史影响;4)气候变化对大洋性鱿鱼栖息地影响;5)气候变化对大洋性鱿鱼海洋环境适应性及其生物多样性的影响。展开更多
文摘In this paper, we apply the recursive genetic programming (RGP) approach to the cognition of a system, and then proceed to the detecting procedure for structural changes in the system whose components are of long memory. This approach is adaptive and model-free, which can simulate the individual activities of the system's participants, therefore, it has strong ability to recognize the operating mechanism of the system. Based on the previous cognition about the system, a testing statistic is developed for the detection of structural changes in the system. Furthermore, an example is presented to illustrate the validity and practical value of the proposed.
基金Supported by the Strategic Priority Research Program of Chinese Academy of Sciences under Grant No XDA09020402the National Key Basic Research Program of China under Grant Nos 2013CBA01900,2010CB934300,2011CBA00607,and 2011CB932804+2 种基金the National Integrate Circuit Research Program of China under Grant No 2009ZX02023-003the National Natural Science Foundation of China under Grant Nos 61176122,61106001,61261160500,and 61376006the Science and Technology Council of Shanghai under Grant Nos 12nm0503701,13DZ2295700,12QA1403900,and 13ZR1447200
文摘A novel slow-down set waveform is proposed to improve the set performance and a 1 kb phase change random access memory chip fabricated with a 13nm CMOS technology is implemented to investigate the set performance by different set programming strategies based on this new set pulse. The amplitude difference （I1 - I2） of the set pulse is proved to be a crucial parameter for set programming. We observe and analyze the cell characteristics with different I1 - I2 by means of thermal simulations and high-resolution transmission electron microscopy, which reveal that an incomplete set programming will occur when the proposed slow-down pulse is set with an improperly high I1 - I2. This will lead to an amorphous residue in the active region. We also discuss the programming method to avoid the set performance degradations.
基金the School of Engineering at Cardiff University for providing the financial support of a Ph D studentship to accomplish the research
文摘In order to improve the accuracy of prediction when using the empirical orthogonal function （EOF） method, this paper describes a novel approach for two-dimensional （2D） EOF analysis based on extrapolating both the spatial and temporal EOF components for long-term prediction of coastal morphological changes. The approach was investigated with data obtained from a process-based numerical model, COAST2D, which was applied to an idealized study site with a group of shore-parallel breakwaters. The progressive behavior of the spatial and temporal EOF components, related to bathymetric changes over a training period, was demonstrated, and EOF components were extrapolated with combined linear and exponential functions for long-term prediction. The extrapolated EOF components were then used to reconstruct bathymetric changes. The comparison of the reconstructed bathymetric changes with the modeled results from the COAST2D model illustrates that the presented approach can be effective for long-term prediction of coastal morphological changes, and extrapolating both the spatial and temporal EOF components yields better results than extrapolating only the temporal EOF component.
文摘大洋性鱿鱼是海洋中重要的经济类群,在海洋生态系统中扮演着重要的角色。通过Web of Science核心合集获取的文献数据,利用文献计量学与CiteSpace软件的共现分析、聚类分析与突变检测等分析方法,对该主题1991—2021年的年度发文量分布、作者及研究机构组成与合作、研究主题演变及热点展示等方面进行了分析。结果显示,研究文献的年度分布总体呈现动态递增趋势;主要作者间合作密切,形成分别以中国上海海洋大学CHEN X J(陈新军)等、美国缅因大学CHEN Y(陈勇)等、西班牙海洋研究所PIERCE G J等以及葡萄牙生物资源研究所PEREIRA J等为核心的4个合作关系密切的作者群,并形成稳定的合作关系;主要研究机构中,英国南极调查局、法国海洋开发研究院、美国国家海洋和大气管理局、阿伯丁大学、西班牙海洋研究所、戴尔豪斯大学等机构的国际合作能力较强;主要研究国家或地区方面,美国、德国、日本、中国内地、英格兰等为该主题的主要研究力量。当前该主题的研究热点共分为5个方面:1)气候变化对大洋性鱿鱼资源种群动态的影响;2)基于生态系统的鱿鱼渔业管理策略研究;3)气候变化对大洋性鱿鱼的生活史影响;4)气候变化对大洋性鱿鱼栖息地影响;5)气候变化对大洋性鱿鱼海洋环境适应性及其生物多样性的影响。
