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上海大学学报（英文版）
上海大学学报（英文版）

戴世强

季刊

1007-6417

jpsu_l@staff.shu.edu.cn

021-66135218

200444

上海市宝山区上大路99路上海大学124信箱

上海大学学报（英文版）/Journal Journal of Shanghai University(English Edition)
查看更多>>《Journal of Shanghai University》是在钱伟长校长的大力倡导和支持下于1997年6月创刊的。本刊由上海大学出版社出版，《上海大学学报》(英文版)编委会编辑, 上海大学期刊社发行。本刊设有“Reviews”,“Articles”,“Letters”，“Abstracts of Doctoral Dissertations”等栏目，报道范围涉及自然科学与工程技术的多种领域，主要有“应用数学和力学”，“信息技术”，“机电工程与自动化”，“材料科学与工程”等领域。 本刊重视学术论文的创新性。钱校长在本刊发刊词中把科研成果分为三类：第一类用新理论新方法解决新问题；第二类用新理论新方法解决老问题或用已有理论和方法解决新问题；第三类用已有理论和方法解决老问题。本刊将优先刊登第一类学术论文，也发表一些第二类学术论文，而不采用第三类论文。本刊只刊出未在正式刊物上公开发表过的研究论文。 本刊除刊登上海大学教师和研究生的最新研究成果外，也刊登其它高校及科研院所专家学者们的优秀学术论文，而且在论文的筛选和刊出上一视同仁。本刊尤其欢迎国家自然科学基金课题和国家“八六三”项目的研究论文以及海外留学生的研究论文，也欢迎资深学者的专题综述文章, 本刊也以“Letters”的形式报道学者们的阶段性研究成果。本刊主要向国外发行，向国外近20家文献检索刊物和数据库及近百所大学图书馆按期寄送。到目前为止，本刊已被国际多家重要检索刊物或数据库收录。它们是美国的“工程索引”（EI Page One），英国的“科学文摘”（SA-INSPEC），俄罗斯的“文摘杂志”（РЖ），日本的“科学技术文献速报”（CBST），美国的“剑桥科学文摘”（CSA），美国的“数学评论”（MR），美国的“应用力学评论”（AMR），德国的“数学文摘”（ZBI），美国的“化学文摘”（CA）等的收录期刊。本刊同时被国内4家全文数据库和多家专业文摘刊物收录。欢迎国内外专家学者投稿，有关投稿的具体要求见本刊征稿简则。本刊国内外公开发行, 可通过天津联合征订服务部、北京人天书店征订，也可直接向上海大学期刊社征订。
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    New SST correction method from multi-satellite based on the coefficient of variation

    ZHONG FeiLIU NaLIU YangXU Ling-yu...
    463-466页
    查看更多>>摘要：In remote sensing sea surface temperature(SST),the traditional fusion method is used to compute the dot product of a subjective weight vector with a satellite measurement vector,while the result requires validation by field measurement.However,field measurement that relative to the satellite measurement is very sparse,many information may not be verified.A relative objective weight vector is constructed by using the limited field measurement,which is based on coefficient of variation method.And then it make an application of the data fusion by the weighted average method in the SST data.fuse SST data with the weighted average method.In this way,some posteriori information can be added to the fusion process.The model reduces the dependence on verification,and some of the satellite measurement can be handled without corresponding to the field measurement,and the fusion result matches transfer errors theory.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Overall plan and design of the task management system of ternary optical computer

    SONG KaiJIN Yi
    467-472页
    查看更多>>摘要：In this paper an overall scheme of the task management system of ternary optical computer(TOC)is proposed,and the software architecture chart is given.The function and accomplishment of each module in the system are described in general.In addition,according to the aforementioned scheme a prototype of TOC task management system is implemented,and the feasibility,rationality and completeness of the scheme are verified via running and testing the prototype.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Piecewise linear representation of time series based on mean trend in sliding window

    YUAN Tong-yuWU Shao-chunZHANG JianGU Rong-rong...
    473-478页
    查看更多>>摘要：Seismic data show some important characteristics,such as big volume and strong timeliness.Specific to the time series data of earthquake precursory observations,a piecewise linear representation based on the sliding window mean value (PLR_MTSW)algorithm is proposed.With this algorithm,the mutation points can be identified accurately according to the rate of mean value change,while the main features of time series are maintained well.This algorithm can also smooth the noise and improve the compression accuracy with sliding window.Meanwhile the local extreme points can be identified effectively according to the change of mean value trend within window.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Extraction of novel features for emotion recognition

    LI XiangZHENG YuLI Xin
    479-486页
    查看更多>>摘要：Hilbert-Huang transform method has been widely utilized from its inception because of the superiority in varieties of areas.The Hilbert spectrum thus obtained is able to reflect the distribution of the signal energy in a number of scales accurately.In this paper,a novel feature called ECC is proposed via feature extraction of the Hilbert energy spectrum which describes the distribution of the instantaneous energy.The experimental results conspicuously demonstrate that ECC outperforms the traditional short-term average energy.Combination of the ECC with mel frequency cepstral coefficients (MFCC)delineates the distribution of energy in the time domain and frequency domain,and the features of this group achieve a better recognition effect compared with the feature combination of the short-term average energy,pitch and MFCC.Afterwards,further improvements of ECC are developed.TECC is gained by combining ECC with the teager energy operator,and EFCC is obtained by introducing the instantaneous frequency to the energy.In the experiments,seven status of emotion are selected to be recognized and the highest recognition rate 83.57％ is achieved within the classification accuracy of boredom reaching 100％.The numerical results indicate that the proposed features ECC,TECC and EFCC can improve the performance of speech emotion recognition substantially.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Event temporal relation computation based on machine learning

    WANG DongZHU PingZHU Sha-shaLIU Wei...
    487-492页
    查看更多>>摘要：Temporal relation computation is one of the tasks of the extraction of temporal arguments from event,and it is also the ultimate goal of temporal information processing.However,temporal relation computation based on machine learning requires a lot of hand-marked work,and exploring more features from discourse.A method of two-stage machine learning based on temporal relation computation(TSMLTRC)is proposed in this paper for the shortcomings of current temporal relation computation between two events.The first stage is to get the main temporal attributes of event based on classification learning.The second stage is to compute the event temporal relation in the discourse through employing the result of the first stage as the basic features,and also employing some new linguistic characteristics.Experiments show that,compared with the artificial golden rule,the computational efficiency in the first stage is much higher,and the F1-Score of event temporal relation which is computed through combining multi-features may be increased at 85.8％ in the second stage.
      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普

    Information for Authors

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      原文链接:
    • NETL
    • NSTL
    • 万方数据
    • 维普