• 제목/요약/키워드: Character Network Analysis

검색결과 104건 처리시간 0.03초

Pedagogical Analysis Of The Phenomenon Of Digital Competence

  • Yovenko, Larysa;Novakivska, Lyudmyla;Sanivskyi, Oleksandr;Sherman, Mykhailo;Vysochan, Lesia;Hnedko, Natalia
    • International Journal of Computer Science & Network Security
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    • 제21권6호
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    • pp.7-10
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    • 2021
  • The article analyzes and concretizes the understanding of the differences between the concepts of competence / competence according to the criterion general - personal. Based on the identified characteristics of competence (completed personal quality, activity character, educational result, successful implementation of professional and educational activities), the concept of competence as an integrative dynamic quality of a person, manifested in effective activity in a specific area, is defined. The structure of the IC has been substantiated, including motivational and value; information technology; communicative and reflective components. The content of the named IC components is disclosed. The article analyzes the essence of the characteristics of basic concepts (competence / competence), consideration of information competence in the research of famous scientists in order to concretize the studied phenomenon; concretization of the identified pedagogical conditions in educational process.

Inter-city Flight Connectivity and Polycentricity in the Yeongnam Region (영남권 도시 간 화물 연계성과 다중심성)

  • Choi, Byung-Doo;Song, Minjeong
    • Journal of the Korean association of regional geographers
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    • 제21권1호
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    • pp.39-61
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    • 2015
  • This paper reviews literature on urban connectivity, and reconsiders the concept of polycentric urban region and its analysis methods, and then, applying them, explores the inter-city flight connectivity and polycentricity in the Yeongnam Region. As results of analysis, it has been identified that the entropy index shows a relatively dispersing pattern of the urban network of the region, and that the dominance index reveals a more polycentric (that is, less hierarchic) character of the region than that of the Capital Region, while some differences are found among individual cities in the symmetry of connectivity and the dominance and/or dependence index. Even though flows of products in textile, basic metals, and automobile industries in sub-divisions of manufacture appear a pattern of concentring into the first central city, the urban network of the Yeongnam Region in general can be characterized as a polycentrism, and policy for polycentric regional development would be suggested.

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Research on Natural Language Processing Package using Open Source Software (오픈소스 소프트웨어를 활용한 자연어 처리 패키지 제작에 관한 연구)

  • Lee, Jong-Hwa;Lee, Hyun-Kyu
    • The Journal of Information Systems
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    • 제25권4호
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    • pp.121-139
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    • 2016
  • Purpose In this study, we propose the special purposed R package named ""new_Noun()" to process nonstandard texts appeared in various social networks. As the Big data is getting interested, R - analysis tool and open source software is also getting more attention in many fields. Design/methodology/approach With more than 9,000 R packages, R provides a user-friendly functions of a variety of data mining, social network analysis and simulation functions such as statistical analysis, classification, prediction, clustering and association analysis. Especially, "KoNLP" - natural language processing package for Korean language - has reduced the time and effort of many researchers. However, as the social data increases, the informal expressions of Hangeul (Korean character) such as emoticons, informal terms and symbols make the difficulties increase in natural language processing. Findings In this study, to solve the these difficulties, special algorithms that upgrade existing open source natural language processing package have been researched. By utilizing the "KoNLP" package and analyzing the main functions in noun extracting command, we developed a new integrated noun processing package "new_Noun()" function to extract nouns which improves more than 29.1% compared with existing package.

A Study on the Prediction for the OCR Technology Development Trajectory based on the Patent and Article Information (특허와 논문정보를 활용한 OCR 기술발전 동향예측에 관한 연구)

  • Won Jun, Kim;Sang Kon, Lee;Sung Kuk, Pyo
    • Journal of Information Technology Services
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    • 제21권6호
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    • pp.39-51
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    • 2022
  • As the 4th Industrial Revolution emerged as a key to improving national competitiveness, OCR technology, one of the major technologies in the 4th industry is in the spotlight. Since characters in various images contain a lot of information, OCR technology for recognizing these characters has evolved into technology used in many industries. In this paper, trends in OCR technology were identified and predicted using thesis data published in 'RISS' and patent data by International patent classification (IPC) under the theme of Optical character recognition (OCR). For patent data 20,000 patents related to OCR technology from 2002 to 2020 were used as data, and 432 papers from 2012 to 2022 were used as data. Through time-series analysis, each patent data and thesis data were investigated since when OCR technology has developed, and various keyword analysis predicted which technology will be used in the future. Finally, the direction of future OCR technology development was presented through network association analysis with patent data and thesis data.

Effects of Cryopreservation and Thawing on Single-Cell Transcriptomes of Human T Cells

  • Jeong Seok Lee;Kijong Yi;Young Seok Ju;Eui-Cheol Shin
    • IMMUNE NETWORK
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    • 제20권4호
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    • pp.34.1-34.8
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    • 2020
  • Cryopreservation and thawing of PBMCs are inevitable processes in expanding the scale of experiments in human immunology. Here, we carried out a fundamental study to investigate the detailed effects of PBMC cryopreservation and thawing on transcriptomes. We sorted Tregs from fresh and cryopreserved/thawed PBMCs from an identical donor and performed single-cell RNA-sequencing (scRNA-seq). We found that the cryopreservation and thawing process minimally affects the key molecular features of Tregs, including FOXP3. However, the cryopreserved and thawed sample had a specific cluster with up-regulation of genes for heat shock proteins. Caution may be warranted in interpreting the character of any cluster of cells with heat shock-related properties when cryopreserved and thawed samples are used for scRNA-seq.

Genetic Design of Granular-oriented Radial Basis Function Neural Network Based on Information Proximity (정보 유사성 기반 입자화 중심 RBF NN의 진화론적 설계)

  • Park, Ho-Sung;Oh, Sung-Kwun;Kim, Hyun-Ki
    • The Transactions of The Korean Institute of Electrical Engineers
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    • 제59권2호
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    • pp.436-444
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    • 2010
  • In this study, we introduce and discuss a concept of a granular-oriented radial basis function neural networks (GRBF NNs). In contrast to the typical architectures encountered in radial basis function neural networks(RBF NNs), our main objective is to develop a design strategy of GRBF NNs as follows : (a) The architecture of the network is fully reflective of the structure encountered in the training data which are granulated with the aid of clustering techniques. More specifically, the output space is granulated with use of K-Means clustering while the information granules in the multidimensional input space are formed by using a so-called context-based Fuzzy C-Means which takes into account the structure being already formed in the output space, (b) The innovative development facet of the network involves a dynamic reduction of dimensionality of the input space in which the information granules are formed in the subspace of the overall input space which is formed by selecting a suitable subset of input variables so that the this subspace retains the structure of the entire space. As this search is of combinatorial character, we use the technique of genetic optimization to determine the optimal input subspaces. A series of numeric studies exploiting some nonlinear process data and a dataset coming from the machine learning repository provide a detailed insight into the nature of the algorithm and its parameters as well as offer some comparative analysis.

Vulnerability Analysis of the Creativity and Personality Education based on Digital Convergence Curation System (창의·인성 교육기반의 디지털 융합 큐레이션 시스템에 관한 취약점 분석)

  • Shin, Seung-Soo;Kim, Jung-In;Youn, Jeong-Jin
    • Journal of the Korea Convergence Society
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    • 제6권4호
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    • pp.225-234
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    • 2015
  • With the growing number of people that use web services, the perception of the importance of securing web applications is also increasing. There are many different types of attacks that target web applications. In the rapidly-changing knowledge and information society, which came into being with the advancements made in information and communication technology, there is currently an urgent need for building web sites for the purposes of developing one's creativity and character. In this paper, attack schemes that use SQL injections and XSS and target educational digital curation systems which provide educational contents with the aim of developing of one's creativity and character are analyze, in terms of how the attacks are carried out and their vulnerabilities. Furthermore, it suggests ways of dealing appropriately with these web-based attacks that use SQL injections and XSS.

SNS as a Method of Election Campaign: A Case study of the 2015's Special Election in South Korea (정치인들의 선거 캠페인 수단으로서의 SNS 활용: 2015년 4·29 재·보궐선거를 중심으로)

  • Park, SeMi;Hwang, HaSung
    • Journal of Internet Computing and Services
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    • 제17권2호
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    • pp.87-95
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    • 2016
  • Considerable research over the years has been devoted to ascertaining the impact of social media on political settings.In recent days, Social Network Sites (SNS) such as Facebook allowed users to share their political beliefs, support specific candidates, and interact with others on political issues. This study examines the role of SNS as the means of political campaign. The study tasks the case of the 2015'sspecial election, Seoul Korea. The analysis aims to identify how candidates use Facebook or Twitter to interact with voters by applying functional theory of political campaign discourse developed by Benoit. In this study, we analyzed the candidates' SNS messages in terms of political behavior such as self-expression, informing policy, asking voters to participate in political events. Among them the results indicated that two candidates, Jung, Dong Young and Byun, Hee Jae, both of them used SNS to express themselves the most. The study also found that two candidates used mainly the strategy called 'acclaim' which praises their own strengths. In terms of topics of SNS messages (policy versus character) there was different between two candidates. Jung, sent message in relation to 'character' the most, while Byun contained 'policy' message on SNS the most. Based on these findings implications and directions for future studies are discussed.

Analysis of Scientific Item Networks from Science and Biology Textbooks (고등학교 과학 및 생물교과서 과학용어 네트워크 분석)

  • Park, Byeol-Na;Lee, Yoon-Kyeong;Ku, Ja-Eul;Hong, Young-Soo;Kim, Hak-Yong
    • The Journal of the Korea Contents Association
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    • 제10권5호
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    • pp.427-435
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    • 2010
  • We extracted core terms by constructing scientific item networks from textbooks, analyzing their structures, and investigating the connected information and their relationships. For this research, we chose three high-school textbooks from different publishers for each three subjects, i.e, Science, Biology I and Biology II, to construct networks by linking scientific items in each sentence, where used items were regarded as nodes. Scientific item networks from all textbooks showed scare-free character. When core networks were established by applying k-core algorithm which is one of generally used methods for removing lesser weighted nodes and links from complex network, they showed the modular structure. Science textbooks formed four main modules of physics, chemistry, biology and earth science, while Biology I and Biology II textbooks revealed core networks composed of more detailed specific items in each field. These findings demonstrate the structural characteristics of networks in textbooks, and suggest core scientific items helpful for students' understanding of concept in Science and Biology.

Analysis of the Interference between Parallel Socket Connections and Prediction of the Bandwidth (병렬 연결 간의 트래픽 간섭 현상 분석 및 대역폭 예측)

  • Kim Young-Shin;Huh Eui-Nam;Kim Il-Jung;Hwang Jun
    • Journal of Internet Computing and Services
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    • 제7권1호
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    • pp.131-141
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    • 2006
  • Recently, many researchers have been studied several high performance data transmission techniques such as TCP buffer Tuning, XCP and Parallel Sockets. The Parallel Sockets is an application level library for parallel data transfer, while TCP tuning, XCP and DRS are developed on kernel level. However, parallel socket is not analyzed in detail yet and need more enhancements, In this paper, we verify performance of parallel transfer technique through several experiments and analyze character of traffic interference among socket connections. In order to enhance parallel transfer management mechanism, we predict the number of socket connections to obtain SLA of the network resource and at the same time, affected network bandwidth of existing connections is measured mathematically due to the interference of other parallel transmission. Our analytical scheme predicts very well network bandwidth for applications using the parallel socket only with 8% error.

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