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Search Symbol (Half-width) Description of Search Symbols
Space "AND" indicates the intertwining of key terms used in a search
Double Quotation Marks ("") ( " " ) Double quotation marks indicate the beginning and end of a phrase, and the search will only include terms that appear in the same order of those within the quotations. Example: "image process" : " image process "
? Indicates a variable letter. Entering two ? will indicate two variable letters, and so on. Example: "Appl?", search results will yield apple, apply… e , appl y … ( (often used to English word searches) )
* Indicates an unlimited number of variable letters to follow, from 1~n. Example: Enter "appl*", search results will yield apple, apples, apply, applied, application…(often used in English word searches) e , appl es , appl y , appl ied , appl ication … ( (often used to English word searches) )
AND、OR、NOT

Boolean logic combinations of key words is a skill used to expand or refine search parameters.
(1) AND (1) AND: Refines search parameters
(2) OR (2) OR: Expands search parameters (3) NOT: Excludes irrelevant parameters

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DOI stands for Digital Object Identifier ( D igital O bject I dentifier ) ,
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.

Using DOI as a persistent link

To create a persistent link, add「http://dx.doi.org/」 「 http://dx.doi.org/ 」 before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.

Cite a document with DOI

When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.

DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registrationdoi.airiti.com ) 。

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ACI:

Data Source: Academic Citation Index (ACI)
As Taiwan's largest Citation Index, we currently have on record all Humanities, and Sociology journals that were published in Taiwan. The number of periodicals that are published on a regular basis total around 400 different types. If periodicals that were added to the collection but then halted are counted as well, the number of periodicals total over 500 types. Every year we announce the recorded periodicals' impact factor, etc. to the public, and allow scholars utilize our materials to carry out academic research for free.

Impact Factor: The statistic indicating the average number of times a journal's articles published in the past two years have been cited in the counting year.
Formula: (Number of cites in counting year to articles published in the span of two years ) ÷ (Number of articles published in the span of two years)
Example: The impact factor in 2010 (determined in 2011)
In 2009, Journal A published 15 articles, and these 15 articles were cited 20 times in 2010.
In 2008, Journal A published 16 articles, and these 16 articles were cited 30 times in 2010.
→ →2010's Impact Factor = (20+30) ÷ (15+16) = 1.61 =(20+30)÷(15+16)≒1.61

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What is "Preprint"?

In order to provide readers the forefront academic information, after articles are accepted to publish in the journal, we publish them in network before they're printed. Those "on-line first articles" are called the "preprint articles". The preprint articles do not have volume No., page No., publication date, but can be identified by the DOI number. 「 http://dx.doi.org/ 」 Link to the latest version of the article.

How to cite Preprint Articles?

Please use the online publication date and the DOI number of the preprint article to cite the literature.

Cited example (may vary with different formats you cited):

Author name. Article name. Journal name. YYYY/MM/DD online publish in advance.

doi:DOI Number

Abstract

Abstract

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Chinese/English Abstract :

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Times Cited :

1002-137X, Monthly Periodical,Regular Release

Index Collection: : PKU-北大 , CSTPCD

Title Changes List
All Volumes
Basic Information

Language : Simplified Chinese

Available From: : 2000年 01 期

Engineering> Electrical Engineering

Publisher

重庆西南信息有限公司(原科技部西南信息中心)

中國大陸:重庆

重庆西南信息有限公司(原科技部西南信息中心) Publishing 』

重庆西南信息有限公司(原科技部西南信息中心)
2015年 01期
Total7Pages
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41

一种策略驱动的BPEL流程异常处理框架

王权于中国地质大学(武汉)网络教育学院 武汉430074王权于吕国斌应时周峰中国地质大学(武汉)网络教育学院 武汉430074武汉大学软件工程国家重点实验室 武汉430072

BPEL流程异常处理策略框架软件与数据库技术BPEL processesException handlingPDLFrameworkSoftware & Database Technology

Abstract Track Track

42

基于相识度的恶意代码检测

杜楠华中科技大学计算机与科学技术学院 武汉430074杜楠韩兰胜付才张忠科刘铭

相识度相似行为特征恶意代码矩阵软件与数据库技术Acquaintance degreeSimilarityBehavior characteristicsMalware codeMatrixSoftware & Database Technology

Abstract Track Track

43

基于场景的联锁软件形式化模型生成方法

董昱兰州交通大学自动化与电气工程学院 兰州730070董昱高雪娟

计算机联锁软件事件确定有限自动机顺序图场景分析软件与数据库技术Computer interlocking softwareETDFASequence diagramScenario analysisSoftware & Database Technology

Abstract Track Track

44

基于本体的构件化软件演化信息获取及度量研究

钟林辉江西师范大学计算机信息工程学院 南昌330022钟林辉宗洪雁

构件化软件软件演化本体演化度量软件与数据库技术Component-based softwareSoftware evolutionOntologySoftware evolution measurementSoftware & Database Technology

Abstract Track Track

45

室内概率阈值反向最近邻查询

王丽南京航空航天大学计算机科学与技术学院 南京210016王丽秦小麟许建秋

室内空间反向最近邻设备可达图模型查询处理软件与数据库技术Indoor spaceReverse nearest neighborDevice reachable graph modelQuery processingSoftware & Database Technology

Abstract Track Track

46

M-相点数据索引SPindex

陈瑛广州商学院计算机系 广州511363陈瑛陈钊滢叶小平广州商学院计算机系 广州511363华南师范大学计算机学院 广州510631

相平面与M-相点MROB数据结构SPindex仿真评估软件与数据库技术Phase plane and M-phase pointsData structure of MROBSPindexSimulation and evaluationSoftware & Database Technology

Abstract Track Track

47

情感不确定词句的分类方法比较研究

李飏同济大学计算机科学与技术系 上海201804李飏苗夺谦张志飞同济大学计算机科学与技术系 上海201804同济大学嵌入式系统与服务计算教育部重点实验室 上海201804

情感分析不确定性监督学习支持向量机人工智能Sentimental analysisUncertaintySupervised learningSVMArtificial Intelligence

Abstract Track Track

48

具有属性析取扩展特征的内逆P-信息智能挖掘

路英山东大学数学与系统科学学院 济南250100 山东英才学院经济管理学院 济南250104路英李备友史开泉山东大学数学与系统科学学院 济南250100 山东英才学院经济管理学院 济南250104山东大学数学与系统科学学院 济南250100 齐鲁工业大学财政与金融学院 济南250012山东大学数学与系统科学学院 济南250100

逆P-集合逆P-推理扩展定理智能挖掘挖掘定理应用人工智能Inverse P-setsInverse P-resoningExpansion theoremIntelligent miningMining theoremApplicationArtificial Intelligence

Abstract Track Track

49

一种基于ILP和ASP的学习B语言描述的动作模型方法

刘振东南大学计算机科学与工程学院 南京211189刘振张志政

动作模型学习动作语言B归纳逻辑程序设计回答集逻辑程序设计人工智能Action model learningAction language BInductive logic programmingAnswer set programmingArtificial Intelligence

Abstract Track Track

50

面向用户查询意图的句子相似度分层计算

李景玉北京信息科技大学智能处理信息研究所 北京100192李景玉张仰森陈若愚

句子相似度计算语义一致编辑距离关键词特征用户查询意图人工智能Sentence similarity computationSemantic conformityEdit distanceKeyword featureUser query intentionArtificial Intelligence

Abstract Track Track

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2015年 01期
Total 7 Pages

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