检索证明论文
北大核心检索证明
北大核心检索证明
北大核心检索证明是指论文被北京大学核心期刊检索系统收录的证明
文件。
北大核心期刊是高质量学术期刊的代表之一，其收录成为很多
学者和研究机构评价研究成果质量的重要指标。
那么，如何获得北大核心检索证明呢？
首先，提交论文至北大核心期刊进行发表，只有被期刊正式录用并发
表后，才能获得北大核心检索证明。
因此，首先需要找到符合研究方
向的北大核心期刊，认真阅读期刊要求并提交论文。
其次，根据期刊审核意见进行修改，直到论文得到正式录用并发表。
北大核心期刊对稿件质量要求严格，因此需要认真把握每一个细节，
注重论文的逻辑和思路，做到科学、严谨、立论清晰。
在论文撰写过
程中，合理使用国内外的学术文献并注重参考文献格式的规范化，也
是获得北大核心检索证明的重要一步。
最后，获得发表论文的期刊提供的北大核心检索证明文件。
需要注意
的是，北大核心期刊对发表论文的核心杂志要求也很高，因此发表论
文的涵盖范围应该尽量扩大，在期刊选择上要综合考虑期刊的影响力、学术水平以及稿件接受率等指标。
在现如今，学术界的竞争越来越激烈，内外评估机制日益完善，北大核心检索证明已成为标志性地位的证明，对学术研究者和研究机构的学术声誉和学术地位都有极大的推动作用。
当然，在获得北大核心检索证明后，我们更应该继续努力在学术研究领域取得更多的成果。
中科院sci分区检索证明
中科院sci分区检索证明中科院SCI分区是指中国科学院对科技期刊按照其在相关领域的学术影响力和学术质量进行评估，划分成多个等级，并进行公示和检索。
SCI分区是被广泛接受和认可的国际性分区体系，也是国内优秀学术期刊的必要条件之一。
SCI分区的等级主要有四个，依次为一区、二区、三区和四区，其中一区是最高等级，四区是最低等级。
在科研工作中，SCI分区成为了很多科研人员判断期刊学术水平和选择投稿期刊的重要依据之一。
中科院SCI分区的检索证明被认为是学术影响力和权威的象征之一，对于学者和期刊来说都非常重要。
对于学者而言，拥有在一区和二区期刊上发表论文的经验和成就，往往可以获得更多的科研资助和国内外学术交流的机会；而对于期刊来说，能够被评为高等级的SCI分区，不仅能够提高期刊的知名度和影响力，还可以吸引更多的高质量投稿，进而提升期刊的学术水平和发展势头。
如何获得SCI分区检索证明呢？首先，需要首先确定自己所在的期刊是否被纳入了SCI数据库。
在此基础上，期刊需要不断提升学术质量和影响力，扩大期刊的学术影响力和知名度。
此外，期刊还需要积极参加各类学术会议、讲座和研讨会，与同行学者进行学术交流，提高期刊知名度和学术水平。
同时，期刊还可以申请加入国际期刊协会（COPE）等权威组织，借此获得更多的学术支持和资源，提高期刊发展的整体实力。
在申请SCI分区检索证明时，需要提交期刊的基本资料、历年来的投稿情况和发表论文的统计数据等相关信息，同时，还需要提供相应的质量保障措施，例如同行评审制度、学术道德规范和版权保护等。
总的来说，中科院SCI分区检索是一项非常重要的认证体系，对于学者和期刊来说都具有重要的学术意义和实际意义。
在科研工作中，要不断提高自己的学术水平和知名度，积极参与各类学术交流和活动，争取获得更高的SCI分区等级和更多的学术成就。
同时，期刊方面也要不断提升自身的学术质量和发展势头，扩大期刊的学术影响力和知名度，争取更高的SCI分区等级，并吸引更多高质量的投稿。
华电论文检索证明报告模板
论文收录检索证明报告华北电力大学图书馆论文作者: Zhuxiao,Wang; Wang,Zhuxiao论文发表年限: 2012-2015检索数据库: Ei Compendex检索结果 :8篇收录Title:1. An Extension of Distributed Dynamic Description Logics for the Representation of Heterogeneous Mappings2. An architecture description language based on dynamic description logics for self-healing systems3. An architecture description language based on dynamic description logics4. An Architecture Dynamic Modeling Language for Self-Healing Systems5. A Tableau-Based Reasoning Algorithm for Distributed Dynamic Description Logics6.A formal model for attack mutation using dynamic description logics7. Linear cryptanalysis and security tradeoff of block ciphering systems with channel errors8. Research on sentiment analysis in sentence and text levels with priors特此证明!(盖章)检索报告人:年月日附件:收录情况：1. Accession number: 20132016337096Title: An extension of distributed dynamic description logics for the representation of heterogeneous mappingsAuthors: Wang, Zhuxiao1 ; Guo, Jing2 ; Chen, Fei3 ; Wu, Kehe3 ; Wang, Peng4Author affiliation: 1 School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, China2 National Computer Network Emergency Response Technical Team, Coordination Center of China, 100029 Beijing, China3 School of Control and Computer Engineering, North China Electric Power University, 102206 Beijing, China4 Institute of Information Engineering, Chinese Academy of Sciences, 100195 Beijing, China Corresponding author: Wang,Z.(****************.cn)Source title: Journal of SoftwareAbbreviated source title: J. Softw.Volume: 8Issue: 1Issue date: 2013Publication year: 2013Pages: 243-250Language: EnglishISSN: 1796217XDocument type: Journal article (JA)Publisher: Academy Publisher, P.O.Box 40,, OULU, 90571, FinlandAbstract: As a family of dynamic description logics, DDL(X) is constructed by embracing actions into the description logic X, where X represents well-studied description logics ranging from the ALC to the SHOIQ. To efficiently support automated interoperability between ontology-based information systems in distributed environments, we have to design an expressive mapping language to semantically understand resources from remote and heterogeneous systems. Distributed Dynamic Description Logics D3L(X) is a natural generalization of the DDL(X) framework, which is designed to model the distributed dynamically-changing knowledge repositories interconnected by semantic mappings and to accomplish reasoning in distributed, heterogeneous environments. In this paper, we propose an extension of Distributed Dynamic Description Logics D3L(X) and investigate the reasoning mechanisms in D3L(X). © 2013 ACADEMY PUBLISHER.Number of references: 16Main heading: Data descriptionControlled terms: Formal languages - Interoperability - Mapping - Semantics Uncontrolled terms: Distributed Dynamic Description Logics - Distributed reasonings - Dynamic description logic - Semantic mapping - Tableau algorithmClassification code: 716 Telecommunication; Radar, Radio and Television - 717 Optical Communication - 718 Telephone Systems and Related Technologies; Line Communications -723 Computer Software, Data Handling and Applications - 902.1 Engineering Graphics - 903.2 Information DisseminationDOI: 10.4304/jsw.8.1.243-250Database: CompendexCompilation and indexing terms, © 2013 Elsevier Inc.2. Accession number: 20124415623183Title: An architecture description language based on dynamic description logics for self-healing systemsAuthors: Wang, Zhuxiao1 ; Peng, Hui2 ; Guo, Jing3 ; Wu, Kehe4 ; Cui, Wenchao4 ; Wang, Xiaofeng5Author affiliation: 1 School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China2 Education Technology Center, Beijing International Studies University, Beijing 100024, China3 National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China4 School of Control and Computer Engineering, Institute of Electric Information Security Engineering Research Center of Power Information, North China Electric Power University, Beijing 102206, China5 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China Corresponding author: Wang,Z.(****************.cn)Source title: International Journal of Advancements in Computing Technology Abbreviated source title: Intl. J. Adv. Comput. Technolog.Volume: 4Issue: 18Issue date: October 2012Publication year: 2012Pages: 89-96Language: EnglishISSN: 20058039E-ISSN: 22339337Document type: Journal article (JA)Publisher: Advanced Institute of Convergence Information Technology, Myoungbo Bldg 3F,, Bumin-dong 1-ga, Seo-gu, Busan, 602-816, Korea, Republic ofAbstract: As biological systems exhibit adaptation, healing and robustness in the face of changing environmental behavior, this paradigm has actuated research dealing with the concept of self-healing systems, which attempt to heal themselves in the sense of recovering from malicious attacks and rectifying of system faults. The goal of self-healing systems is to provide survivable systems that require high dependability, robustness, adaptability, and availability. Such systems maintain one or more models, whether external or internal, at run time as a basis for identifying problems and resolving them. This article describes an architectural description language, called ADML, which is being developed as a new formal language and/or conceptual model forrepresenting evolving software architectures. The ADML embraces dynamic change as a fundamental consideration, supports a broad class of adaptive changes at the architectural level, and offers a uniform way to represent and reason about both static and dynamic aspects of self-healing systems. Because the ADML is based on the Dynamic Description Logic DDL(SHON (D)), which can represent both dynamic semantics and static semantics under a unified logical framework, architectural ontology entailment for the ADML languages can be reduced to knowledge base satisfiability in DDL(SHON (D)), and dynamic description logic algorithms and implementations can be used to provide reasoning services for ADML. In this article, we present the syntax of ADML, explain its underlying semantics using the Dynamic Description Logic DDL(SHON (D)), and exemplify our approach by applying it to the domain of load balancing a wireless remote-access system; the preliminary results certify the potential of the approach. Number of references: 14Main heading: Data descriptionControlled terms: Formal languages - Knowledge based systems - Knowledge representation - Semantics - Software architectureUncontrolled terms: Architecture description languages - Dynamic adaptations - Dynamic description logic - Knowledge representation and reasoning - Self-healing systemsClassification code: 723 Computer Software, Data Handling and Applications - 903.2 Information DisseminationDOI: 10.4156/ijact.vol4.issue 18.11Database: CompendexCompilation and indexing terms, © 2013 Elsevier Inc.3. Accession number: 20125015790730Title: An architecture description language based on dynamic description logicsAuthors: Wang, Zhuxiao1 ; Peng, Hui2 ; Guo, Jing3 ; Zhang, Ying1 ; Wu, Kehe1 ; Xu, Huan1 ; Wang, Xiaofeng4Author affiliation: 1 School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China2 Education Technology Center, Beijing International Studies University, Beijing 100024, China3 National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing 100029, China4 Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China Corresponding author: Wang,Z.(****************.cn)Source title: IFIP Advances in Information and Communication TechnologyAbbreviated source title: IFIP Advances in Information and Communication Technology Volume: 385 AICTMonograph title: Intelligent Information Processing VI - 7th IFIP TC 12 International Conference, IIP 2012, ProceedingsIssue date: 2012Publication year: 2012Pages: 157-166Language: EnglishISSN: 18684238ISBN-13: 9783642328909Document type: Conference article (CA)Conference name: 7th IFIP International Conference on Intelligent Information Processing, IIP 2012Conference date: October 12, 2012 - October 15, 2012Conference location: Guilin, ChinaConference code: 94249Sponsor: IFIP TC12; Guilin University of Electronic Technology; Chinese Academy of Sciences, Institute of Computing TechnologyPublisher: Springer New York, 233 Spring Street, New York, NY 10013-1578, United States Abstract: ADML is an architectural description language based on Dynamic Description Logic for defining and simulating the behavior of system architecture. ADML is being developed as a new formal language and/or conceptual model for representing the architectures of concurrent and distributed systems, both hardware and software. ADML embraces dynamic change as a fundamental consideration, supports a broad class of adaptive changes at the architectural level, and offers a uniform way to represent and reason about both static and dynamic aspects of systems. Because the ADML is based on the Dynamic Description Logic DDL( (D)), which can represent both dynamic semantics and static semantics under a unified logical framework, architectural ontology entailment for the ADML languages can be reduced to knowledge base satisfiability in DDL( (D)), and dynamic description logic algorithms and implementations can be used to provide reasoning services for ADML. In this article, we present the syntax of ADML, explain its underlying semantics using the Dynamic Description Logic DDL( (D)), and describe the core architecture description features of ADML. © 2012 IFIP International Federation for Information Processing.Number of references: 14Main heading: Data descriptionControlled terms: Formal languages - Knowledge based systems - Knowledge representation - Semantics - Software architectureUncontrolled terms: Architectural description languages - Architectural levels - Architecture description - Architecture description languages - Conceptual model - Distributed systems - Dynamic adaptations - Dynamic changes - Dynamic description logic - Dynamic semantic - Hardware and software - Knowledge base - Knowledge representation and reasoning - Logical frameworks - ON dynamics - Satisfiability - Static and dynamic - Static semantics - System architecturesClassification code: 723 Computer Software, Data Handling and Applications - 903.2 Information DisseminationDOI: 10.1007/978-3-642-32891-6_21Database: CompendexCompilation and indexing terms, © 2013 Elsevier Inc.4. Accession number: 20121214883239Title: An architecture dynamic modeling language for self-healing systemsAuthors: Wang, Zhuxiao1 ; Guo, Jing2; Wu, Kehe1; He, Hui1; Chen, Fei1Author affiliation: 1 School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China2 National Computer Network Emergency Response Technical Team, Coordination Center of China, Beijing 100029, ChinaCorresponding author: Wang,Z.(****************.cn)Source title: Procedia EngineeringAbbreviated source title: Procedia Eng.Volume: 29Monograph title: 2012 International Workshop on Information and Electronics Engineering Issue date: 2012Publication year: 2012Pages: 3909-3913Language: EnglishISSN: 18777058Document type: Conference article (CA)Conference name: 2012 International Workshop on Information and Electronics Engineering, IWIEE 2012Conference date: March 10, 2012 - March 11, 2012Conference location: Harbin, ChinaConference code: 89020Sponsor: Harbin University of Science and Technology; International Science and Engineering Research CenterPublisher: Elsevier Ltd, Langford Lane, Kidlington, Oxford, OX5 1GB, United Kingdom Abstract: As modern software-based systems increase in complexity, recovery from malicious attacks and rectification of system faults become more difficult, labor-intensive, and error-prone. These factors have actuated research dealing with the concept of self-healing systems, which employ architectural models to monitor system behavior and use inputs obtaining therefore to adapt themselves to the run-time environment. Numerous architectural description languages (ADLs) have been developed, each providing complementary capabilities for architectural development and analysis. Unfortunately, few ADLs embrace dynamic change as a fundamental consideration and support a broad class of adaptive changes at the architectural level. The Architecture Dynamic Modeling Language (ADML) is being developed as a new formal language and/or conceptual model for representing dynamic software architectures. The ADML couple the static information provided by the system requirements and the dynamic knowledge provided by tactics, and offer a uniform way to represent and reason about both static and dynamic aspects of self-healing systems. Because the ADML is based on the Dynamic Description Logic DDL, architectural ontology entailment for the ADML languages can be reduced to knowledge base satisfiability in DDL. © 2011 Published by Elsevier Ltd.Number of references: 10Main heading: ArchitectureControlled terms: Data description - Electronics engineering - Embedded systems -Formal languages - Knowledge based systems - Knowledge representation - Software architectureUncontrolled terms: Architecture description languages - Dynamic adaptation - Dynamic description logic - Knowledge representation and reasoning - Self-healing systemsClassification code: 723 Computer Software, Data Handling and Applications - 722 Computer Systems and Equipment - 718 Telephone Systems and Related Technologies; Line Communications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 715 Electronic Equipment, General Purpose and Industrial - 714 Electronic Components and Tubes - 713 Electronic Circuits - 402 Buildings and TowersDOI: 10.1016/j.proeng.2012.01.593Database: CompendexCompilation and indexing terms, © 2013 Elsevier Inc.5. Accession number: 20124315590040Title: A tableau-based reasoning algorithm for distributed dynamic description logics Authors: Wang, Zhuxiao1 ; Guan, Zhitao1 ; Li, Wei1 ; Wu, Kehe1 ; Guo, Jing2 ; Tian, Guanhua3Author affiliation: 1 School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, 102206 Beijing, China2 National Computer Network Emergency Response Technical Team, Coordination Center of China, 100029 Beijing, China3 Institute of Automation, Chinese Academy of Sciences, 100190 Beijing, China Corresponding author: Wang,Z.(****************.cn)Source title: Communications in Computer and Information ScienceAbbreviated source title: Commun. Comput. Info. Sci.Volume: 307 CCISIssue: PART 1Monograph title: Information Computing and Applications - Third International Conference, ICICA 2012, ProceedingsIssue date: 2012Publication year: 2012Pages: 192-199Language: EnglishISSN: 18650929ISBN-13: 9783642340376Document type: Conference article (CA)Conference name: 3rd International Conference on Information Computing and Applications, ICICA 2012Conference date: September 14, 2012 - September 16, 2012Conference location: Chengde, ChinaConference code: 93206Sponsor: National Science Foundation of China; Hunan Institute of Engineering; YanshanUniversity; Northeastern University at Qinhuangdao; Chengde Petroleum CollegePublisher: Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Abstract: As a family of dynamic description logics, DDL(X) is constructed by embracing actions into the description logic X, where X represents well-studied description logics ranging from the ALC to the SHOIQ. The usage of distributed computation techniques in reasoning is an important premise for the adoption of Dynamic Description Logics in a real-world setting. Practical scalability of DDL(X) reasoning inspired recently a proposal of Distributed Dynamic Description Logics (D3L) framework. D3L is a natural generalization of the DDL(X) framework, which is designed to model the distributed dynamically-changing knowledge repositories interconnected by semantic mappings and to accomplish reasoning in distributed, heterogeneous environments. In this paper, we investigate the reasoning mechanisms in D3L and propose a tableau-based reasoning algorithm for D3L, built as a composition of the state of the art tableaux reasoners for DDL(X). © 2012 Springer-Verlag.Number of references: 15Main heading: Data descriptionControlled terms: Algorithms - Formal languages - Inference engines - Semantics Uncontrolled terms: Description logic - Distributed computations - Distributed dynamics - Distributed Reasoning - Dynamic description logic - Heterogeneous environments - Knowledge repository - Natural generalization - Reasoning algorithms - Reasoning mechanism - Semantic mapping - State of the art - Tableau algorithm - Tableaux reasonersClassification code: 723 Computer Software, Data Handling and Applications - 903.2 Information Dissemination - 921 MathematicsDOI: 10.1007/978-3-642-34038-3_27Database: CompendexCompilation and indexing terms, © 2013 Elsevier Inc.6. Accession number: 20150400451745Title: A formal model for attack mutation using dynamic description logicsAuthors: Wang, Zhuxiao1 Email author ****************.cn;Guo, Jing2 Email ********************************;Shi,******************************.cn;He,Hui1Email author ***************.cn;Zhang, Ying1 Email author *******************.cn;Peng, Hui3 ***************************.cn;Tian,*************************************.cn Author affiliation: 1 School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China2 National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China3 Education Technology Center, Beijing International Studies University, Beijing, China4 Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaCorresponding author: Wang, ZhuxiaoSource title: IFIP Advances in Information and Communication TechnologyAbbreviated source title: IFIP Advances in Information and Communication Technology V olume: 432V olume title: Intelligent Information Processing VII - 8th IFIP TC 12 International Conference, IIP 2014, ProceedingsIssue date: 2014Publication year: 2014Pages: 303-311Language: EnglishISSN: 18684238ISBN-13: 9783662449790Document type: Journal article (JA)Publisher: Springer New York LLCAbstract: All currently available Network-based Intrusion Detection Systems (NIDS) rely upon passive protocol analysis which is fundamentally flawed as an attack can evade detection by exploiting ambiguities in the traffic stream as seen by the NIDS. We observe that different attack variations can be derived from the original attack using simple transformations. This paper proposes a semantic model for attack mutation based on dynamic description logics (DDL(X)), extensions of description logics (DLs) with a dynamic dimension, and explores the possibility of using DDL(X) as a basis for evasion composition. The attack mutation model describes all the possible transformations and how they can be applied to the original attack to generate a large number of attack variations. Furthermore, this paper presents a heuristics planning algorithm for the automation of evasion composition at the functional level based on DDL(X). Our approach employs classical DL-TBoxes to capture the constraints of the domain, DL-ABoxes to present the attack, and DL-formulas to encode the objective sequence of packets respectively. In such a way, the evasion composition problem is solved by a decidable tableau procedure. The preliminary results certify the potential of the approach. © IFIP International Federation for Information Processing 2014.Number of references: 9Main heading: Data descriptionControlled terms: Algorithms - Formal languages - Intrusion detection - Knowledge representation - SemanticsUncontrolled terms: Advanced evasion techniques - Dynamic description logic - Intrusion detection/prevention systems - Knowledge representation and reasoning - MultiprotocolsClassification code: 723 Computer Software, Data Handling and Applications - 903.2 Information DisseminationDatabase: CompendexCompilation and indexing terms, © 2015 Elsevier Inc.7. Accession number: 20130115855490Title: Linear cryptanalysis and security tradeoff of block ciphering systems with channel errorsAuthors: Guo, Jing1 ; Wang, Zhuxiao2Author affiliation: 1 National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC), Beijing 100029, China2 School of Control and Computer Engineering, State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, ChinaCorresponding author: Guo,J.(**************************)Source title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Abbreviated source title: Lect. Notes Comput. Sci.Volume: 7645 LNCSMonograph title: Network and System Security - 6th International Conference, NSS 2012, ProceedingsIssue date: 2012Publication year: 2012Pages: 405-416Language: EnglishISSN: 03029743E-ISSN: 16113349ISBN-13: 9783642346002Document type: Conference article (CA)Conference name: 6th International Conference on Network and System Security, NSS 2012 Conference date: November 21, 2012 - November 23, 2012Conference location: Wuyishan, Fujian, ChinaConference code: 94688Publisher: Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Abstract: Channel errors are usually treated as an obstacle in designing an encrypted wireless system. So we are supposed to reduce them as much as possible due to the potential error bursts contributed by an avalanche effect of block ciphers. In this paper, we propose that channel errors are to be explored for the benefit of security enhancement as they could be translated to additional efforts in cryptanalysis for an adversary node. To achieve this, a system with an outer block channel coder and an inner block cipher is presented. A framework for linear cryptanalysis is established under which an eavesdropper takes advantage of linear relationship among coded symbols, as well as linear approximation of ciphers. Also presented is an analysis on the tradeoff between security enhancement and performance degradation in the presence of channel errors. © 2012 Springer-Verlag.Number of references: 13Main heading: CryptographyControlled terms: Commerce - Errors - Network securityUncontrolled terms: Avalanche effects - Block ciphers - Channel error - Coded symbols - Linear approximations - Linear cryptanalysis - Linear relationships - Performance degradation - Potential errors - Security enhancements - Wireless systems Classification code: 723 Computer Software, Data Handling and Applications - 731 Automatic Control Principles and Applications - 911.2 Industrial Economics - 921 MathematicsDOI: 10.1007/978-3-642-34601-9_31Database: CompendexCompilation and indexing terms, © 2013 Elsevier Inc.8. Accession number: 20123915464951Title: Research on sentiment analysis in sentence and text levels with priorsAuthors: He, Hui1, 3 ; Chen, Bo2 ; Wang, Zhuxiao3Author affiliation: 1 School of Control and Computer Engineering, North China Electric Power University, Beijing, China2 Beijing University of Posts and Telecommunications, Beijing, China3 Postdoctoral Working Station, China United Network Communications Group Company Limited, Beijing, ChinaCorresponding author: He,H.(****************)Source title: International Journal of Digital Content Technology and its Applications Abbreviated source title: Int. J. Digit. Content Technol. Appl.Volume: 6Issue: 15Issue date: August 2012Publication year: 2012Pages: 518-525Language: EnglishISSN: 19759339E-ISSN: 22339310Document type: Journal article (JA)Publisher: Advanced Institute of Convergence Information Technology, 707 Seokjang-dong, Gyeongju, BI Center, Room 207, Gyeongju, Gyeongbuk, 780-714, Korea, Republic of Abstract: Recently, sentiment analysis of text is becoming a hotspot in the study of natural language processing, which has drawn interesting attention due to its research value and extensive applications. This paper introduces a sentiment analysis system, which is to satisfy two aspects of sentiment analysis requirement in sentence and text levels. They are sentence orientation analysis and text sentiment retrieval. An improved Maximum Entropy (MaxEnt) with priors is used to judge the sentence orientation, which combined with Indri is used to retrieve sentiment texts according to interested terms. This sentiment analysis system has been applied in Chinese Opinion Analysis Evaluation (COAE). Promising results and analysis are presented at the end of this paper. Number of references: 26Main heading: Maximum entropy methodsControlled terms: Computational linguistics - Data mining - Information retrieval - Natural language processing systemsUncontrolled terms: Hot spot - Indri - Maximum entropy - NAtural language processing - Opinion analysis - Orientation analysis - Prior - Sentiment analysis Classification code: 716.1 Information Theory and Signal Processing - 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 723.2 Data Processing and Image Processing - 723.5 Computer ApplicationsDOI: 10.4156/jdcta.vol6.issue15.59Database: CompendexCompilation and indexing terms, © 2013 Elsevier Inc.。
sci、ei、ssci收录检索证明
sci、ei、ssci收录检索证明SCI、EI和SSCI是三个不同的收录检索数据库，是国际上通用的学术期刊索引工具。
它们经过严格的评估、筛选和收录，对于研究人员来说具有非常重要的意义。
以下是对SCI、EI和SSCI的详细介绍。
SCI（Science Citation Index）是由美国科学信息研究所（ISI）创建的学术期刊索引数据库。
SCI收录了全球主要学术期刊的精选论文，涵盖了自然科学、工程技术、医学和农业等领域的研究成果。
SCI以引文为基础，通过跟踪文章被引用的次数和引用的来源，评估了文章的重要性和影响力。
SCI的收录对于科研人员来说非常重要，因为SCI收录的期刊被认为是学术界的权威，发表在SCI期刊上的论文通常具有很高的质量和影响力。
EI（Engineering Index）是工程学领域的学术期刊索引数据库。
EI收录了全球各种工程领域的期刊文章，包括机械工程、电气工程、材料科学、土木工程等等。
EI的收录主要以研究论文为主，旨在提供各种工程领域的最新研究成果。
EI的收录标准比较严格，对于工程领域的研究人员来说，发表在EI收录的期刊上是一种重要的荣誉和认可。
SSCI（Social Science Citation Index）是社会科学领域的学术期刊索引数据库。
SSCI收录了全球主要社会科学领域的期刊文章，包括经济学、政治学、社会学、心理学等。
SSCI通过跟踪文章的引用情况，评估了文章在社会科学领域的影响力和贡献程度。
在社会科学领域，发表在SSCI收录的期刊上是一种重要的学术认可，SSCI的收录对于社会科学研究人员来说非常重要。
SCI、EI和SSCI都是国际上通用的学术期刊索引工具，它们的收录和检索系统各有特点，但它们共同的目标是为研究人员提供一个方便、全面、高质量的学术论文检索平台。
SCI、EI和SSCI的收录对于研究人员来说非常重要，因为发表在这些收录数据库中的论文通常会受到更多的关注、引用和文献计量。
sci、ei、ssci收录检索证明
sci、ei、ssci收录检索证明一、概述科学家的学术成就往往需要在国际主流学术期刊上发表文章，而SCI、EI、SSCI等收录检索证明成为衡量学术成就的重要标准之一。
本文将详细介绍SCI、EI、SSCI的概念、特点以及获取收录检索证明的方法。
二、SCI、EI、SSCI的概念1. SCI（Science Citation Index）SCI属于Web of Science（WoS）数据库的一部分，是世界著名的科技文献检索工具，由美国康普公司创办。
SCI覆盖了包括自然科学、社会科学、艺术人文等多个领域的学术期刊，被广泛认可为国际学术界的权威数据库之一。
2. EI（Engineering Index）EI是由美国工程师学会开发的一种专业领域的文献检索工具，其收录范围主要包括工程技术和应用科学领域的学术文献。
EI数据库集成了包括EI Compendex、Inspec、Data Citation Index等多个数据库，被工程技术领域的研究人员广泛使用。
3. SSCI（Social Sciences Citation Index）SSCI也属于Web of Science数据库，主要收录了社会科学领域的学术期刊，包括政治学、经济学、社会学、传播学等多个学科领域的文献，并为学术研究人员提供了检索、引文分析和作者排名等功能。
以上三种收录索引都是学术界和科研机构对学术成果进行评价和衡量的重要参考依据，因此获取SCI、EI、SSCI的收录检索证明对于提升个人学术声誉和研究成果的国际影响力至关重要。
三、SCI、EI、SSCI收录检索证明的取得方法1. 通过学术期刊投稿要获取SCI、EI、SSCI的收录检索证明，一种常见的方法是通过向相关学术期刊投稿并最终被录用发表论文。
学术期刊的SCI、EI、SSCI 收录情况通常可以在期刊的冠方全球信息站上查阅，作者在投稿时可以选择已经被这些数据库收录的期刊进行投稿，提高文章最终被录用的机会。
ieee 会议 检索证明
ieee 会议检索证明
IEEE会议检索证明通常是指证明某篇论文被IEEE会议收录或
检索的证明文件。
一般来说，这种证明可以通过IEEE Xplore数据
库或者IEEE官方网站上的检索结果页面来获取。
如果您需要获得某
篇论文在IEEE会议上的检索证明，您可以按照以下步骤进行操作：
首先，您需要前往IEEE Xplore数据库或者IEEE官方网站，并
使用论文的标题、作者或者DOI等信息进行检索。
在检索结果中找到您所需要的论文，并点击进入论文详情页面。
在论文详情页面，您可以找到该论文被IEEE会议收录或检索的
相关信息，通常会显示会议名称、出版日期、检索号等信息。
您可以将该页面保存为PDF文件或者截图保存下来，作为证明
文件备份。
另外，如果您需要更正式的证明文件，比如用于学术或工作用途，您可以联系IEEE官方客服或者会议主办方，向他们提出相关证
明文件的申请。
总之，获取IEEE会议检索证明需要通过官方渠道，确保信息的准确性和可靠性。
希望以上信息能够帮助到您。
sci、ei、istp、ssci收录检索证明
sci、ei、istp、ssci收录检索证明SCI（Science Citation Index，科学引文索引）和SSCI（Social Science Citation Index，社会科学引文索引）是国际上公认的权威学术期刊数据库，其收录的期刊通常具有较高的学术影响力和学术品质。
EI（Engineering Index，工程索引）是专门收录工程领域的学术期刊和会议论文的数据库。
ISTP（Index to Scientific & Technical Proceedings，科学技术文献索引）是收录各学科领域的会议论文数据库。
本文将简要介绍这四种检索证明的主要特点和应用范围。
SCI最早由美国费城科学公司（The Institute for Scientific Information，ISI）于1964年创办，主要收录自然科学领域的高水平学术期刊。
SCI涵盖生物学、物理学、化学、数学、地球科学、环境科学、农业科学等多个学科领域。
SCI检索证明是科研工作者的重要资质，有助于提升学术声誉和竞争力。
SCI的影响因子（Impact Factor，IF）是衡量期刊学术影响力的指标，较高的影响因子通常意味着期刊论文被引用的频率较高。
SSCI由ISI于1973年创办，专门收录社会科学领域的学术期刊。
SSCI包括经济学、教育学、心理学、政治学、社会学、传播学、计量经济学等多个学科领域。
与SCI类似，SSCI检索证明也是社会科学研究者的重要资质，并能提高论文的可见性和影响力。
SSCI期刊的引证报告可以提供期刊的被引频次、被引用的文章列表等信息，有助于研究者了解自己的研究工作在学术界的影响程度。
EI数据库是由美国工程情报协会（Engineering Information，EI）创办的，收录了世界各地主要工程科技刊物的论文，也包括国际会议论文。
EI涵盖了电子工程、机械工程、化学工程、土木工程、计算机科学等多个工程学科领域。
论文收录检索证明
论文收录检索证明尊敬的读者：作者：所属机构：大学发表时间：2022年5月收录情况：1. 收录数据库：中国知网（CNKI）2. 检索情况：该论文已被中国知网收录，并在其数据库中进行检索。
3. 影响因子：该论文在CNKI数据库中的影响因子为2.5。
4. 引用情况：截至目前，该论文已被引用20次。
证明人：职务：大学图书馆馆长日期：2022年10月10日特此证明。
论文收录检索证明尊敬的读者：作者：所属机构：大学发表时间：2022年5月收录情况：1. 收录数据库：中国知网（CNKI）2. 检索情况：该论文已被中国知网收录，并在其数据库中进行检索。
3. 影响因子：该论文在CNKI数据库中的影响因子为2.5。
4. 引用情况：截至目前，该论文已被引用20次。
证明人：职务：大学图书馆馆长日期：2022年10月10日特此证明。
该论文在学术界引起了广泛关注，得到了同行的高度评价。
论文中的研究成果为图像识别技术的发展提供了有力支持，对于推动相关领域的研究具有重要意义。
论文收录检索证明尊敬的读者：作者：所属机构：大学发表时间：2022年5月收录情况：1. 收录数据库：中国知网（CNKI）2. 检索情况：该论文已被中国知网收录，并在其数据库中进行检索。
3. 影响因子：该论文在CNKI数据库中的影响因子为2.5。
4. 引用情况：截至目前，该论文已被引用20次。
证明人：职务：大学图书馆馆长日期：2022年10月10日特此证明。
该论文在学术界引起了广泛关注，得到了同行的高度评价。
论文中的研究成果为图像识别技术的发展提供了有力支持，对于推动相关领域的研究具有重要意义。
谢谢！大学图书馆2022年10月10日。
- 1、下载文档前请自行甄别文档内容的完整性，平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益，请联系客服反馈,我们会尽快为您处理(人工客服工作时间：9:00-18:30)。
论文收录检索证明
作者单位: XXXXXX
检索要求: 要求检索2005年以来作者发表所有CN期刊论文被CNKI中国知网学术总库收录情况及所发期刊被新闻出版总署收录的情况（截止时间）
论文作者: ***（Xu，YH[AU]）
发表年限: 2005-2015
检索工具: 中华人民共和国新闻出版总署及CNKI（chinese citation database）学术文献总库
检索式：AU=“姓名” * AD=“单位”
检索结果:
经CNKI中国知网学术文献总库作者发文检索，共收录* 篇论文（详见附录）；经中华人民共和国新闻出版总署新闻机构期刊/期刊社查询检索，作者所发期刊有收录。
作者所发论文刊物经检索不存在一号多刊等不规范行为，为正规合法学术刊物（所有材料详见相关附件及知网原始打印件）。
特此证明。
检索证明人:
XXXXXXX图书馆
学科检索室
2016年3月 20 日。