Digital libraries
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Digital libraries provide reference lists, citations, and metrics for evaluating impact and influence. A reference list contains sources used for research organized by type like books, journals, papers and theses. Citations occur within the text and identify author and source for direct quotes and paraphrases. They provide additional publication information. Citation networks, documents with high impacts, or similar patterns can be identified. The i10-Index represents the number of publications with 10 or more citations. Charles Darwin's i10-Index is provided as an example. The H-Index reflects the number of papers cited at least as many times as the index number, measuring both quantity and impact with a single value.
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Kwic
Hans Peter Luhn was a computer scientist at IBM who created the Luhn algorithm and developed methods for information retrieval. He proposed counting term occurrences in documents to determine relevance. Luhn and his associates produced early keyword-in-context (KWIC) indexes, where each keyword occurrence was displayed in a list with surrounding words. The American Chemical Society adopted KWIC indexing in 1961. KWIC indexes arrange entries alphabetically based on keywords extracted from document titles, with the keyword centered and a location code at the end. While easy to generate automatically, KWIC indexes lack terminology control and some titles can be misleading.
Indexing
Indexes are data structures that improve retrieval speed for data in a database. They work by sorting field values and storing pointers to records, allowing for faster searching. Indexes should be used on fields involved in searches, joins, or with high cardinality. There are different types of indexes including clustered, non-clustered, unique, non-unique, bitmap and full text. Indexes are created using SQL commands and their information can be displayed and deleted as needed.
The search engine index
An index is a database that stores information collected from documents in a way that allows quick retrieval. It maps words to their locations in documents. Different indexing methods exist, including inverted indexes and latent semantic indexing (LSI). Probabilistic latent semantic indexing (PLSI) is an improvement over LSI as it has a stronger statistical model and can handle issues like synonyms and multiple meanings of words better. Creating accurate indexes is important for search engines to return relevant results but it involves challenges like document formatting, language processing, and updating as new information is added.
Primary research presentation r leap 1st section of the manual
This presentation discusses citation indexes and the h-index metric for measuring research impact. It explains that citation indexes allow users to establish which documents cite earlier works, and that the h-index considers both the number of papers published and the number of citations received. The presentation then provides tips for finding one's h-index using tools like Google Scholar and Publish or Perish, and for increasing one's h-index through publishing in journals with high citation rates, sharing work online, and judiciously self-citing relevant past papers. Finally, it outlines several citation indexes, including the Science Citation Index, Social Sciences Citation Index, and Journal Citation Reports.
Understanding the Twitter Usage of Science Citation Index (SCI) Journals
This document summarizes a study analyzing the Twitter usage of journals indexed in the Science Citation Index (SCI). The researchers identified 857 SCI journals with Twitter accounts and extracted over 950,000 tweets. They analyzed the Twitter conversation network and found SCI journals had a higher rate of intra-index conversations than humanities and social sciences journals. The network structure of SCI journals formed a "tight crowd" graph centered around Nature journals, unlike the "community cluster" structure of humanities graphs. News portals, scientific organizations, and top journals were identified as prominent authorities in the SCI Twitter network. The top hub journals in the network represented medicine, biology, and chemistry and had high journal impact factors.
Sourav
This document discusses different types of keyword indexing systems used for information retrieval, including KWIC (Keyword-In-Context), KWOC (Keyword-Out-Of-Context), and KWAC (Keyword-Augmented-In-Context). It provides examples and explanations of how each system works, including selecting keywords from document titles and presenting them with surrounding context or alone. Advantages are speed of production without indexing staff, while disadvantages include scattered related topics and need for extensive searching.
Finding electronic journal articles s mc
This document provides an overview of finding electronic journal articles. It discusses peer-reviewed journals and how to access full-text journal titles through the library catalogue or E-journals A-Z. It also outlines the steps for performing a literature search, including defining a research topic using keywords, identifying appropriate information sources, searching the sources, and downloading relevant results. Finally, it offers tips for choosing databases, refining searches, and combining search terms.
Semantic citation
This poster provides referencing services to linking bibliographical papers and citations with existing Linked Open Data. It aims to convert current bibliographical data in various digital library databases into semantic bibliographical data to enable research profiling and intelligent knowledge discovery
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Kwic
Hans Peter Luhn was a computer scientist at IBM who created the Luhn algorithm and developed methods for information retrieval. He proposed counting term occurrences in documents to determine relevance. Luhn and his associates produced early keyword-in-context (KWIC) indexes, where each keyword occurrence was displayed in a list with surrounding words. The American Chemical Society adopted KWIC indexing in 1961. KWIC indexes arrange entries alphabetically based on keywords extracted from document titles, with the keyword centered and a location code at the end. While easy to generate automatically, KWIC indexes lack terminology control and some titles can be misleading.
Indexing
Indexes are data structures that improve retrieval speed for data in a database. They work by sorting field values and storing pointers to records, allowing for faster searching. Indexes should be used on fields involved in searches, joins, or with high cardinality. There are different types of indexes including clustered, non-clustered, unique, non-unique, bitmap and full text. Indexes are created using SQL commands and their information can be displayed and deleted as needed.
The search engine index
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Primary research presentation r leap 1st section of the manual
This presentation discusses citation indexes and the h-index metric for measuring research impact. It explains that citation indexes allow users to establish which documents cite earlier works, and that the h-index considers both the number of papers published and the number of citations received. The presentation then provides tips for finding one's h-index using tools like Google Scholar and Publish or Perish, and for increasing one's h-index through publishing in journals with high citation rates, sharing work online, and judiciously self-citing relevant past papers. Finally, it outlines several citation indexes, including the Science Citation Index, Social Sciences Citation Index, and Journal Citation Reports.
Understanding the Twitter Usage of Science Citation Index (SCI) Journals
This document summarizes a study analyzing the Twitter usage of journals indexed in the Science Citation Index (SCI). The researchers identified 857 SCI journals with Twitter accounts and extracted over 950,000 tweets. They analyzed the Twitter conversation network and found SCI journals had a higher rate of intra-index conversations than humanities and social sciences journals. The network structure of SCI journals formed a "tight crowd" graph centered around Nature journals, unlike the "community cluster" structure of humanities graphs. News portals, scientific organizations, and top journals were identified as prominent authorities in the SCI Twitter network. The top hub journals in the network represented medicine, biology, and chemistry and had high journal impact factors.
Sourav
This document discusses different types of keyword indexing systems used for information retrieval, including KWIC (Keyword-In-Context), KWOC (Keyword-Out-Of-Context), and KWAC (Keyword-Augmented-In-Context). It provides examples and explanations of how each system works, including selecting keywords from document titles and presenting them with surrounding context or alone. Advantages are speed of production without indexing staff, while disadvantages include scattered related topics and need for extensive searching.
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This document provides an overview of finding electronic journal articles. It discusses peer-reviewed journals and how to access full-text journal titles through the library catalogue or E-journals A-Z. It also outlines the steps for performing a literature search, including defining a research topic using keywords, identifying appropriate information sources, searching the sources, and downloading relevant results. Finally, it offers tips for choosing databases, refining searches, and combining search terms.
Semantic citation
This poster provides referencing services to linking bibliographical papers and citations with existing Linked Open Data. It aims to convert current bibliographical data in various digital library databases into semantic bibliographical data to enable research profiling and intelligent knowledge discovery
Web of Science
Web of Science is an online scientific citation indexing service that allows users to search bibliographic databases for academic literature. It is owned by Clarivate Analytics and provides access to multiple databases that index thousands of scholarly journals, books, and conference proceedings. Some key points:
- Web of Science allows citation searching to find academic sources that have cited a particular work or have been cited by other works.
- It provides citation metrics like the h-index and citation reports that measure the impact and influence of authors, publications, and institutions.
- Advanced search features allow using Boolean operators, field tags, and other tools to construct complex queries across various databases within Web of Science.
Citation semantic based approaches to identify article quality
Analyzing the structure of research articles and the relationship between the articles has always
been important in bibliometrics research area. One of the methods for analyzing articles is by
its citation. Normally researchers rank the article based on the citation count. But this quantity
based evaluation is not sufficient due to various citation types like Random citation, Guest
citation. Our paper aims in providing a new method to rate a research paper based on its
citation quality. In order to find the citation quality, three different semantic related processes
are used: Citation classification, Citation Sentiment Analysis, Content Relevancy. This work
analyzes some challenges found in citing a research paper. We have proposed methods to figure
out the valid citations for research paper and thereby found quality of the research paper
Subject Indexing & Techniques
This document discusses the basics of subject indexing in libraries. It defines subject indexing as providing subject access to microdocuments like journal articles and research reports by assigning appropriate subject terms. The key points covered are:
- Subject indexing allows users to identify documents on a given subject and find related documents.
- Indexes are helpful for retrieving information from both print and digital collections. They provide subject access through assigned terms.
- Effective subject indexing requires identifying the main concepts in a document and re-expressing them as index terms so the document and terms express the same concepts.
- Principles of indexing include using terminology familiar to users and bringing related documents together under consistent, unambiguous headings. Specificity and exhaustivity must
SciELO CITATION INDEX
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- Planos de lançamento no mercado.
- Collaborative development to increase visibility of locally and globally impactful research, WoS plus SciELO and other regionally authoritative citation indexes as best research discovery and analytics foundation, particularly for Brazil and Latin America
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- JCR and JRM - New article and journal level metrics
- Importance of data quality in unification of records to create the best research discovery and metrics experience
- Market rollout plans
Desarrollo colaborativo para aumentar la visibilidad de la investigación a nivel local como a nivel global impactante, WoS más SciELO y otros índices regionales de citas de autoridad del mejor descubrimiento de la investigación y la fundación analítica, especialmente para Brasil y América Latina
- Mayor visibilidad
- Criterios de selección y de inclusión
- JCR y JRM - Nueva métrica a nivel de artículo y nivel revista - Importancia de la calidad de los datos en la unificación de los registros para crear la mejor experiencia para el descubrimiento de la investigación y las métricas
- Planes de desarrollo del mercado
Indexing
The document defines various terms related to indexing such as index, descriptor, document, identifier, indexing language, indexing system, keyword, qualifier, and translation. It then discusses the history and development of indexing from early civilizations to modern computerized indexing. It also covers different types of indexes like alphabetical, classified, concordance, and periodical indexes. Finally, it outlines principles of indexing like exhaustivity, specificity, consistency and different indexing languages and systems.
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The document discusses bibliographic citation and referencing. It defines bibliography as a list of sources on a topic and citation as giving credit to the original authors of ideas. Citations can be in-text or in a reference list and are important for giving proper credit, allowing others to find sources, and protecting against plagiarism. The document also discusses how to cite authors in the text using parenthetical notes in MLA and APA styles with the author's name, year, and page number.
Citation indexing
This document provides an overview of citation indexing and describes some key tools and concepts. Citation indexing traces the use of ideas across research by identifying papers that cite older publications. The Institute for Scientific Information pioneered citation indexing databases like the Web of Science. While comprehensive, the WoS has limitations in coverage of non-English language and developing world journals. The Indian Citation Index was created to index more Indian publications and support research evaluation in India. Impact factors are calculated based on citations in the Journal Citation Reports to measure journal influence.
Reference Management Systems for Research Support
This document provides an overview and agenda for a presentation on reference management systems using Mendeley. It discusses what reference management systems are, the benefits of Mendeley, how to set up a Mendeley library by adding documents and managing references, citing sources in papers, and additional features of Mendeley including its social networking capabilities. The presentation includes both discussion and hands-on activities for using Mendeley.
Mathew.ppt
This document summarizes citation indexing and its applications. Citation indexing involves indexing citations made by articles to link them with cited works. It was invented by Eugene Garfield and is used in databases like the Web of Science. While useful, citation indexing databases can be biased towards certain journals and languages. New methods like CiteSeer use autonomous citation indexing of free online articles to help address some biases. Citation analysis can also be used for technology forecasting by visualizing document relationships over time.
Help Guide for Citations
The document discusses resources for writing and citations available through the Purdue Online Writing Lab (OWL) and the U. Grant Miller Library at Washington & Jefferson College. It provides steps to access databases and citation guides through the OWL website and the college library website. It also summarizes guidelines for citing sources, including why citations are important, when to cite, and the importance of citation accuracy to avoid plagiarism. Key citation styles discussed include MLA, APA, and Chicago.
Author Metrics
Author metrics are used to track the impact and productivity of researchers through metrics like citations and the h-index. They are important for career advancement and identifying experts in a field. While tools like Google Scholar, Scopus, and Web of Science can provide metrics, ensuring an accurate publication list for an author is challenging. The h-index quantifies both citations and publications, meaning an author with h-index 12 has 12 publications cited at least 12 times each.
Author Identifier Tools
This document discusses various metrics for measuring the impact and reach of scholarly research, including journal-level metrics, article-level metrics, author-level metrics, and alternative metrics. It describes citation indexes like Web of Science and Scopus that provide journal-level metrics. It also discusses alternative metrics (altmetrics) that measure online attention through social media, news sites, policy documents and other sources. Finally, it outlines various researcher identification services like ORCID, Researcher ID, Scopus Author Identifier, and Google Scholar profiles that can be used to attribute publications correctly and track citation metrics.
Measuring your impact
This document provides an overview of tools and resources for finding citations and measuring research impact, including the h-index. It discusses databases like Web of Science, Google Scholar, and Publish or Perish that can be used to find citations and calculate the h-index. Journal impact factors from sources like Journal Citation Reports and SCImago are also covered. Contact information is provided for the presenter to ask additional questions.
style mannuals
This document provides information about style manuals and referencing sources in academic writing. It discusses why referencing is important, including to avoid plagiarism and give credit to other authors. The document outlines when to reference, including when quoting, paraphrasing, or referring to others' work. It also defines plagiarism and describes quoting, paraphrasing, and summarizing sources. Finally, it provides guidance on how to reference sources in both in-text citations and reference lists, including using software like EndNote and RefWorks.
style mannuals
Style manuals provide guidelines for formatting papers and citing sources consistently. They include information on organizing papers, citing traditional and electronic sources, and listing references. Some common style manuals are the MLA Handbook, Chicago Manual of Style, APA Publication Manual, and Turabian style guide. Referencing gives credit to authors whose work is cited and allows readers to find the sources. It is important to avoid plagiarism and demonstrate knowledge of the existing literature on a topic.
Citation Index
This presentation discusses citation indexes and the h-index metric for measuring research impact. It begins by defining a citation index as an index of citations between publications, allowing users to see which documents cite earlier works. The presentation then covers: how to calculate the h-index using citations and publications; tools to find your own h-index such as Google Scholar and Publish or Perish; tips to increase your h-index like publishing in journals with high citation rates and citing your own work; and major citation indexes including the Science Citation Index, Social Sciences Citation Index, and Journal Citation Reports.
H index
The h-index is a metric used to characterize both the productivity and citation impact of a researcher's publications. It considers both the number of publications a researcher has produced and how many citations their publications have received. The h-index is defined as the number of papers with citation numbers equal to or greater than h. Databases like Scopus, Web of Science, and Google Scholar can be used to find a researcher's h-index.
Correct use of sources harvard
This document discusses how to properly reference sources in academic assignments. It explains that referencing is important to acknowledge sources, gain marks by supporting arguments, and allow others to check sources. A reference contains an in-text citation in parentheses with the author's last name and year, and a full reference listing at the end. Quotations use exact words while paraphrasing rewrites ideas in one's own words, but both require citations. The document provides examples of correctly formatted references and citations.
Referencing powerpoint
The document provides an overview of the Harvard referencing style, explaining that it is used to acknowledge information sources in academic writing by including in-text citations and a bibliography, and that it demonstrates research, protects against plagiarism, and allows readers to locate sources. It also describes the components of in-text citations and bibliographies in the Harvard style and how to use the referencing tool in Microsoft Word to automatically generate references.
Referencing powerpoint
This document provides an overview of the Harvard referencing style, explaining that it is used to acknowledge information sources in academic writing by including in-text citations and a bibliography. It describes the components of in-text citations and bibliographic entries, and how to generate correctly formatted references using the referencing tool in Microsoft Word. The document also offers help resources for formatting sources according to the Harvard style.
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10 minute presentation given to 4th year Informatics students to alert them to how the Library can help with the project.
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Web of Science
Web of Science is an online scientific citation indexing service that allows users to search bibliographic databases for academic literature. It is owned by Clarivate Analytics and provides access to multiple databases that index thousands of scholarly journals, books, and conference proceedings. Some key points:
- Web of Science allows citation searching to find academic sources that have cited a particular work or have been cited by other works.
- It provides citation metrics like the h-index and citation reports that measure the impact and influence of authors, publications, and institutions.
- Advanced search features allow using Boolean operators, field tags, and other tools to construct complex queries across various databases within Web of Science.
Citation semantic based approaches to identify article quality
Analyzing the structure of research articles and the relationship between the articles has always
been important in bibliometrics research area. One of the methods for analyzing articles is by
its citation. Normally researchers rank the article based on the citation count. But this quantity
based evaluation is not sufficient due to various citation types like Random citation, Guest
citation. Our paper aims in providing a new method to rate a research paper based on its
citation quality. In order to find the citation quality, three different semantic related processes
are used: Citation classification, Citation Sentiment Analysis, Content Relevancy. This work
analyzes some challenges found in citing a research paper. We have proposed methods to figure
out the valid citations for research paper and thereby found quality of the research paper
Subject Indexing & Techniques
This document discusses the basics of subject indexing in libraries. It defines subject indexing as providing subject access to microdocuments like journal articles and research reports by assigning appropriate subject terms. The key points covered are:
- Subject indexing allows users to identify documents on a given subject and find related documents.
- Indexes are helpful for retrieving information from both print and digital collections. They provide subject access through assigned terms.
- Effective subject indexing requires identifying the main concepts in a document and re-expressing them as index terms so the document and terms express the same concepts.
- Principles of indexing include using terminology familiar to users and bringing related documents together under consistent, unambiguous headings. Specificity and exhaustivity must
SciELO CITATION INDEX
- Desenvolvimento colaborativo para aumentar a visibilidade de pesquisa de impacto em nível local e global
WoS e SciELO e outros índices de citação de qualidade como melhor descoberta de pesquisa e base analítica, particularmente para o Brasil e a América Latina
- Aumento da visibilidade;
- Critérios de seleção e inclusão;
- JCR e JRM;
- Novas métricas em nível de artigo e de periódico;
- Importância da qualidade dos dados na unificação dos registros para criar a melhor descoberta de pesquisa e experiência em métrica;
- Planos de lançamento no mercado.
- Collaborative development to increase visibility of locally and globally impactful research, WoS plus SciELO and other regionally authoritative citation indexes as best research discovery and analytics foundation, particularly for Brazil and Latin America
- Increased visibility - Selection and inclusion criteria
- JCR and JRM - New article and journal level metrics
- Importance of data quality in unification of records to create the best research discovery and metrics experience
- Market rollout plans
Desarrollo colaborativo para aumentar la visibilidad de la investigación a nivel local como a nivel global impactante, WoS más SciELO y otros índices regionales de citas de autoridad del mejor descubrimiento de la investigación y la fundación analítica, especialmente para Brasil y América Latina
- Mayor visibilidad
- Criterios de selección y de inclusión
- JCR y JRM - Nueva métrica a nivel de artículo y nivel revista - Importancia de la calidad de los datos en la unificación de los registros para crear la mejor experiencia para el descubrimiento de la investigación y las métricas
- Planes de desarrollo del mercado
Indexing
The document defines various terms related to indexing such as index, descriptor, document, identifier, indexing language, indexing system, keyword, qualifier, and translation. It then discusses the history and development of indexing from early civilizations to modern computerized indexing. It also covers different types of indexes like alphabetical, classified, concordance, and periodical indexes. Finally, it outlines principles of indexing like exhaustivity, specificity, consistency and different indexing languages and systems.
Google Scholar and Web of Science: Similarities and Differences in Citation A...
Google Scholar and Web of Science: Similarities and Differences in Citation A...Balachandar Radhakrishnan
Google Scholar and Web of Science: Similarities and Differences in Citation Analysis of Scientific PublicationsWhat's hot (6)
Citation semantic based approaches to identify article quality
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Google Scholar and Web of Science: Similarities and Differences in Citation A...
Google Scholar and Web of Science: Similarities and Differences in Citation A...
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The document discusses bibliographic citation and referencing. It defines bibliography as a list of sources on a topic and citation as giving credit to the original authors of ideas. Citations can be in-text or in a reference list and are important for giving proper credit, allowing others to find sources, and protecting against plagiarism. The document also discusses how to cite authors in the text using parenthetical notes in MLA and APA styles with the author's name, year, and page number.
Citation indexing
This document provides an overview of citation indexing and describes some key tools and concepts. Citation indexing traces the use of ideas across research by identifying papers that cite older publications. The Institute for Scientific Information pioneered citation indexing databases like the Web of Science. While comprehensive, the WoS has limitations in coverage of non-English language and developing world journals. The Indian Citation Index was created to index more Indian publications and support research evaluation in India. Impact factors are calculated based on citations in the Journal Citation Reports to measure journal influence.
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Mathew.ppt
This document summarizes citation indexing and its applications. Citation indexing involves indexing citations made by articles to link them with cited works. It was invented by Eugene Garfield and is used in databases like the Web of Science. While useful, citation indexing databases can be biased towards certain journals and languages. New methods like CiteSeer use autonomous citation indexing of free online articles to help address some biases. Citation analysis can also be used for technology forecasting by visualizing document relationships over time.
Help Guide for Citations
The document discusses resources for writing and citations available through the Purdue Online Writing Lab (OWL) and the U. Grant Miller Library at Washington & Jefferson College. It provides steps to access databases and citation guides through the OWL website and the college library website. It also summarizes guidelines for citing sources, including why citations are important, when to cite, and the importance of citation accuracy to avoid plagiarism. Key citation styles discussed include MLA, APA, and Chicago.
Author Metrics
Author metrics are used to track the impact and productivity of researchers through metrics like citations and the h-index. They are important for career advancement and identifying experts in a field. While tools like Google Scholar, Scopus, and Web of Science can provide metrics, ensuring an accurate publication list for an author is challenging. The h-index quantifies both citations and publications, meaning an author with h-index 12 has 12 publications cited at least 12 times each.
Author Identifier Tools
This document discusses various metrics for measuring the impact and reach of scholarly research, including journal-level metrics, article-level metrics, author-level metrics, and alternative metrics. It describes citation indexes like Web of Science and Scopus that provide journal-level metrics. It also discusses alternative metrics (altmetrics) that measure online attention through social media, news sites, policy documents and other sources. Finally, it outlines various researcher identification services like ORCID, Researcher ID, Scopus Author Identifier, and Google Scholar profiles that can be used to attribute publications correctly and track citation metrics.
Measuring your impact
This document provides an overview of tools and resources for finding citations and measuring research impact, including the h-index. It discusses databases like Web of Science, Google Scholar, and Publish or Perish that can be used to find citations and calculate the h-index. Journal impact factors from sources like Journal Citation Reports and SCImago are also covered. Contact information is provided for the presenter to ask additional questions.
style mannuals
This document provides information about style manuals and referencing sources in academic writing. It discusses why referencing is important, including to avoid plagiarism and give credit to other authors. The document outlines when to reference, including when quoting, paraphrasing, or referring to others' work. It also defines plagiarism and describes quoting, paraphrasing, and summarizing sources. Finally, it provides guidance on how to reference sources in both in-text citations and reference lists, including using software like EndNote and RefWorks.
style mannuals
Style manuals provide guidelines for formatting papers and citing sources consistently. They include information on organizing papers, citing traditional and electronic sources, and listing references. Some common style manuals are the MLA Handbook, Chicago Manual of Style, APA Publication Manual, and Turabian style guide. Referencing gives credit to authors whose work is cited and allows readers to find the sources. It is important to avoid plagiarism and demonstrate knowledge of the existing literature on a topic.
Citation Index
This presentation discusses citation indexes and the h-index metric for measuring research impact. It begins by defining a citation index as an index of citations between publications, allowing users to see which documents cite earlier works. The presentation then covers: how to calculate the h-index using citations and publications; tools to find your own h-index such as Google Scholar and Publish or Perish; tips to increase your h-index like publishing in journals with high citation rates and citing your own work; and major citation indexes including the Science Citation Index, Social Sciences Citation Index, and Journal Citation Reports.
H index
The h-index is a metric used to characterize both the productivity and citation impact of a researcher's publications. It considers both the number of publications a researcher has produced and how many citations their publications have received. The h-index is defined as the number of papers with citation numbers equal to or greater than h. Databases like Scopus, Web of Science, and Google Scholar can be used to find a researcher's h-index.
Correct use of sources harvard
This document discusses how to properly reference sources in academic assignments. It explains that referencing is important to acknowledge sources, gain marks by supporting arguments, and allow others to check sources. A reference contains an in-text citation in parentheses with the author's last name and year, and a full reference listing at the end. Quotations use exact words while paraphrasing rewrites ideas in one's own words, but both require citations. The document provides examples of correctly formatted references and citations.
Referencing powerpoint
The document provides an overview of the Harvard referencing style, explaining that it is used to acknowledge information sources in academic writing by including in-text citations and a bibliography, and that it demonstrates research, protects against plagiarism, and allows readers to locate sources. It also describes the components of in-text citations and bibliographies in the Harvard style and how to use the referencing tool in Microsoft Word to automatically generate references.
Referencing powerpoint
This document provides an overview of the Harvard referencing style, explaining that it is used to acknowledge information sources in academic writing by including in-text citations and a bibliography. It describes the components of in-text citations and bibliographic entries, and how to generate correctly formatted references using the referencing tool in Microsoft Word. The document also offers help resources for formatting sources according to the Harvard style.
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10 minute presentation given to 4th year Informatics students to alert them to how the Library can help with the project.
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The document provides information about writing bibliographies and references in the Vancouver and APA styles. It defines key terms like bibliography, references, citations and annotated bibliography. The main differences between a bibliography and references are that a bibliography includes all sources consulted, while references only include sources that were cited. References are numbered and included within the text and at the end of the document. The Vancouver style is commonly used in medical journals and follows a specific format for citations within text and listing references.
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The document provides guidance on avoiding plagiarism by properly citing sources using MLA style guidelines. It explains the three main ways to integrate outside sources into work through quoting, paraphrasing, and summarizing. It also outlines the three step process for in-text citations which includes pausing to give credit to the original author and creating a works cited list.
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The presentation deals with variety of tips concerning indexing and citations metrics. These tips will serve as a guideline for researchers for pursuing further research. The main purpose of the presentation is to provide a brief introduction about the indexing metrics. Moreover, it will address the importance of citations, h-index, and how to calculate the h-index for a particular scholar. Furthermore, it will briefly describe how to find an appropriate indexed journal for a specific research article. Eventually, it will concisely demonstrate how to promote a particular research paper across different channels of social media.
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iOS is Apple's mobile operating system, second only to Android in market share. Key iOS applications include FaceTime for video calls between Apple devices, AirPlay for streaming media, Find My iPhone for device tracking, and iCloud for data backup. The App Store allows downloading third-party apps, and iOS is developed using Apple programming languages like Objective-C and Swift. Major iOS versions have introduced features such as the App Store, push notifications, multitasking, and Siri voice assistant.
Linux and windows
Windows is a popular operating system created by Microsoft that runs on most computers. It has gone through several versions since Windows 1.0, with each new version adding features like support for more colors, multimedia functionality, plug-and-play hardware installation, internet connectivity, firewall protection, and updated user interfaces. Open source operating systems are also discussed, including examples like Linux, advantages like security and cost effectiveness, and some disadvantages like needing commands instead of graphical interfaces for certain tasks. The document concludes with sections about file systems, attributes, operations, and different file system types like FAT, NTFS, Ext, and Samba.
Android os versions and architecture
The document discusses Android OS and its various versions. It provides information on:
- Android OS is designed for touchscreen mobile devices like smartphones and tablets, using a Linux kernel. The first Android phone was sold in 2008.
- It describes some key Android versions from 2008-2017 including features added in each version.
- It also covers Android software stack components like applications, application framework, libraries and the Linux kernel.
- Key terms like IDE, SDK, APK are explained briefly.
Turtle Graphics in CG
Turtle graphics uses a virtual turtle to draw shapes on a canvas by issuing commands to move the turtle and change attributes like its color and pen thickness. The turtle has a location, orientation angle, and a pen that can be in the up or down position. Built-in functions allow controlling the turtle, for example turtle.color() sets the color and turtle.forward() moves the turtle forward while drawing a line if the pen is down. Examples show how to draw basic shapes like squares, circles, triangles, and stars by issuing sequences of forward, backward, right, and left commands to the turtle.
Ray Tracing in Computer Graphics
Ray tracing is a technique for generating images by tracing the path of light rays through pixels and simulating interactions with objects. It works by constructing rays from the eye through each pixel, testing every object to determine intersections, noting the closest object hit, and determining the object's color based on any light sources. Diagrams and explanations demonstrate the basic ray tracing algorithm and how it can render spheres and other objects.
Email security
This document discusses email security and related topics. It covers firewalls, what can be done with firewalls like web filtering and bandwidth filtering. It also discusses screenshots of a college firewall. Other topics include access control lists, TCP connection establishment and termination, DNS, ICMP, common error messages, port numbers, email structure, SMTP, MIME, POP, IMAP, and TLS.
Visible surface detection methods
There are two main categories of visible surface detection algorithms: object-space methods that compare objects in a 3D scene, and image-space methods that determine visibility on a per-pixel basis. The painter's algorithm sorts polygons by depth and draws more distant polygons before closer ones, covering some areas. The binary space partitioning algorithm draws polygons farther from the viewpoint before closer ones. Back face detection identifies whether a surface's normal vector points towards or away from the viewpoint.
Raster scan and random scan
This document discusses raster and random scan display technologies. It defines key concepts like pixels, aspect ratio, and frame buffers. Pixels make up raster images and are arranged in a grid, with more pixels providing higher resolution. A frame buffer is RAM that stores a bitmap driving a video display. Raster scan uses pixels along scan lines and has lower resolution but is less expensive than random scan, which uses mathematical equations to describe images and provides smoother lines but is more costly.
Properties of light
This document discusses various properties and behaviors of light, including reflection, refraction, diffraction, and how light interacts with materials and objects. It notes that light travels in straight lines, is faster than sound, allows us to see by reflecting into our eyes, and causes shadows when blocked by objects. The document also addresses how light can be absorbed or reflected by objects and that the color of an object is determined by the dominant frequency of the light.
Polygon mesh
A polygon mesh is a collection of vertices, edges, and faces that defines the shape of a 3D polyhedral object. It is constructed by joining polygons together at common edges. Popular methods for constructing meshes include box modeling techniques like subdividing and extruding existing geometry. Extruding a face creates a new connected face of the same shape. Mesh representations include vertex-vertex meshes defined by connected vertices, face-vertex meshes defined by faces and vertices, and dynamic meshes that explicitly store face-vertex and vertex-face relationships. Polygon meshes are represented using tables that store vertex coordinates, edge connections, and surface definitions.
Liquid crystal display
The document discusses liquid crystal displays (LCDs) and light emitting diodes (LEDs). It defines LCDs as thin, flat panels used to display text, images, and video in devices like computers, TVs, and calculators. It explains that LCDs work by rearranging liquid crystals when an electric field is applied. Pros are smaller size, lower power consumption, and lighter weight, while cons include higher cost and narrow viewing angle. LEDs are then discussed, defined as semiconductors that emit light when electric current passes through. Their working involves electrons moving between bands when materials in contact are given an electric field. Pros of LEDs include higher brightness, light weight, no viewing angle differences, and
Ink jet printer
Inkjet printers work by using electrostatic charges to propel droplets of ink onto paper to create a digital image. The main components of an inkjet printer include the print head which contains nozzles that spray ink, a stepper motor that moves the print head, ink cartridges that hold different color inks, a belt that attaches the print head to the motor, and rollers and circuitry that control paper movement and the printing process. Pros of inkjet printers are their low cost, high quality color output, ease of use, and quiet operation while cons include less durable print heads, expensive ink cartridges, slower speeds than laser printers, and sensitivity of ink to water.
Illumination models
The document discusses various illumination models used in computer graphics including ambient light, point light sources, distributed light sources, Beer Lambert's law, chromaticity diagrams, flat shading, Gouraud shading, the Phong illumination model, and the Ward illumination model. It provides details on how each model calculates light intensity and color values for surfaces and polygons in a 3D scene.
Dot matrix printers
Dot matrix printers print characters by punching dots in a pattern onto paper like a typewriter. Each character is made up of a specific dot pattern, with letters like H having 7 dots in the first column, 2 in the fourth column, and 7 in the last column. While dot matrix printers are the cheapest per page for printing, they have cons of only printing one character at a time, very low resolution, and poor printing speed.
Cathode ray tubes
A cathode ray tube (CRT) is a sealed glass tube that contains an electron gun, phosphor coating, and magnets. When power is supplied to the CRT, the electron gun emits a beam of electrons that is bent by electric and magnetic fields and strikes the phosphor-coated screen, causing it to emit light. While CRTs are cheaper than other displays and have a wide viewing angle, they are bulky, consume more power than LCDs, and are prone to burn-in from displaying static images for long periods.
NEAR FIELD COMMUNICATION
NFC requires less power than Bluetooth but has a much shorter range. It transmits data at lower speeds than Bluetooth but can establish connections faster by using inductive coupling without manual pairing. NFC is used for quickly transferring small amounts of data like photos or files between devices by tapping them together, as well as for mobile payments if both the device and vendor support NFC transactions.
RFID
RFID technology uses radio waves to transmit data between a reader and an RFID tag for identification and tracking purposes. RFID has applications in supply chain management, access control, livestock tracking, toll collection and other areas due to benefits like non-contact tracking and large data storage. However, RFID also has drawbacks like higher costs compared to barcode and a limited effective range for reading tags.
Covert networks
Covert networks are hidden networks whose users do not disclose their information externally. They use covert channels that are hidden from access controls and security mechanisms, allowing communication to bypass detection. Covert networks employ techniques like steganography to conceal files within other files or messages, and use blind carbon copy to send messages privately to large groups without revealing all email addresses.
Ethernet
Ethernet is a popular wired network cable that was introduced in 1980 to connect devices like PCs and switches. It uses physical addresses called MAC addresses to identify devices on the network. Ethernet addresses are 6 bytes long and can be unicast for point-to-point connections or multicast for one-to-many connections. Common types of Ethernet cables include 10BaseT, 100BaseTX, and 1000BaseT which support speeds of 10 Mbps, 100 Mbps, and 1 Gbps respectively over twisted pair copper cables. Faster versions like 10BaseF and 100BaseFX use fiber optic cables.
Wi – fi ( 802.11)
Wi-Fi allows devices to connect to the internet wirelessly using radio waves. It provides data transfer rates up to 600 Mbps within a coverage distance of about 100 meters. Multiple devices can connect to a Wi-Fi network through a router, unlike Bluetooth which only supports 7 devices. Wi-Fi networks use SSIDs to identify the network and access points to connect wireless devices to wired networks. Common standards include 802.11a, b, g, and n which provide higher data rates and backward compatibility. Security measures for Wi-Fi include MAC address filtering and WEP encryption.
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Digital libraries
- 2. REFERENCE A reference list is a list of the resources that you used when writing your assignment or doing your research. a) books, including electronic books, journals (online an paper based) b) conference papers, proceedings and theses
- 3. CITATION It is similar to references but occurs in the body of the text with direct quotes and paraphrases to identify the author/publication for the material you have used.
- 4. DEFINITION OF CITATION A "citation" is the way you tell your readers that certain material in your work came from another source. It also provides additional information includes
- 5. CITATION IMPORTANCE Co-citation networks, documents with high impacts or similar citation patterns can be immediately identified, and the co-citation relationships can be intuitively observed as well.
- 6. i10-Index i10-Index = the number of publications with at least 10 citations. Advantages of i10-Index • Very simple and straightforward to calculate • My Citations in Google Scholar is free and easy to use
- 7. CHARLES DARWIN i10 Index
- 8. H INDEX H-Index = number of papers (h) with a citation number ≥ h. (Ex) a scientist with an H-Index of 37 has 37 papers cited at least 37 times. Advantages of the H-Index: Measures quantity and impact by a single value.