• Title/Summary/Keyword: text-generation

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Traffic Data Generation Technique for Improving Network Attack Detection Using Deep Learning (네트워크 공격 탐지 성능향상을 위한 딥러닝을 이용한 트래픽 데이터 생성 연구)

  • Lee, Wooho;Hahm, Jaegyoon;Jung, Hyun Mi;Jeong, Kimoon
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.1-7
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    • 2019
  • Recently, various approaches to detect network attacks using machine learning have been studied and are being applied to detect new attacks and to increase precision. However, the machine learning method is dependent on feature extraction and takes a long time and complexity. It also has limitation of performace due to learning data imbalance. In this study, we propose a method to solve the degradation of classification performance due to imbalance of learning data among the limit points of detection system. To do this, we generate data using Generative Adversarial Networks (GANs) and propose a classification method using Convolutional Neural Networks (CNNs). Through this approach, we can confirm that the accuracy is improved when applied to the NSL-KDD and UNSW-NB15 datasets.

A Study on the Chronotope of Mobile Game (모바일 게임의 크로노토프 연구)

  • Lee, Jin
    • Journal of the Korean Society for Computer Game
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    • v.31 no.4
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    • pp.29-36
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    • 2018
  • The purpose of this paper is to examine the temporal and spatial characteristics of mobile games through Mikhail Bakhtin's chronotope concept in order to examine the changes of mobile games and gaming. Based on chronotope, a concept that refers to the inner relation between time and space reproduced in the novel, I examined the inner relation between the space - time experience in the mobile game platform and the reconstruction of the mobile game text. The mobile game builds the present-here world based on the player's will while superimposing the act of playing through the mixed platform of existence based on the player with the time and space of everyday life. The chronotope of a mobile game with players as platforms is created in the current space of now-here rather than connecting to the virtual world. In this paper, I review the role of chronotope reproduction in mobile games, focusing on role-playing games and location based games. In the mobile role-playing game, an unhistorical chronotope appears in which the player has a loose sense of distance around the automatic combat system, while the narrative and relational experience is weakened. In a location-based game, a chronotope of player-driven generation that generates amusing meanings through the overlap of the virtual world and the real world appears.

Active Senior Contents Trend Analysis using LDA Topic Modeling (LDA 토픽 모델링을 이용한 액티브 시니어 콘텐츠 트렌드 분석)

  • Lee, Dongwoo;Kim, Yoosin;Shin, Eunjung
    • Journal of Internet Computing and Services
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    • v.22 no.5
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    • pp.35-45
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    • 2021
  • The purpose of this study is to understand the characteristics and trends of active senior. As the baby boom generation become the age of the elderly, they are more active than senior. These seniors are called active seniors, a new consumer group. Many countries and companies are also interested in providing relevant policies and services, but there is lack of researches on active senior trends. This study collects the 8,740 posts related to active seniors on social media from January 1st, 2018 to June 31st, 2021, and conducted keyword frequency analysis, TF-IDF analysis and LDA topic modeling. Through LDA topic modeling, topics are classified into 10 categories: lifestyle, benefits, shopping, government business, government education, health, society and economy, care industry, silver housing, leisure. The results of this study can be utilized as fundamental data to help understand the academic and industrial aspects of active senior.

The Importance of Multimedia for Professional Training of Future Specialists

  • Plakhotnik, Oleh;Strazhnikova, Inna;Yehorova, Inha;Semchuk, Svitlana;Tymchenko, Alla;Logvinova, Yaroslava;Kuchai, Oleksandr
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.43-50
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    • 2022
  • For high-quality education of the modern generation of students, forms of organizing the educational process and the latest methods of obtaining knowledge that differ from traditional ones are necessary. The importance of multimedia teaching tools is shown, which are promising and highly effective tools that allow the teacher not only to present an array of information in a larger volume than traditional sources of information, but also to include text, graphs, diagrams, sound, animation, video, etc. in a visually integrated form. Approaches to the classification of multimedia learning tools are revealed. Special features, advantages of multimedia, expediency of use and their disadvantages are highlighted. A comprehensive analysis of the capabilities of multimedia teaching tools gave grounds for identifying the didactic functions that they perform. Several areas of multimedia application are described. Multimedia technologies make it possible to implement several basic methods of pedagogical activity, which are traditionally divided into active and passive principles of student interaction with the computer, which are revealed in the article. Important conditions for the implementation of multimedia technologies in the educational process are indicated. The feasibility of using multimedia in education is illustrated by examples. Of particular importance in education are game forms of learning, in the implementation of which educational elements based on media material play an important role. The influence of the game on the development of attention by means of works of media culture, which are very diverse in form and character, is shown. The importance of the role of multimedia in student education is indicated. In the educational process of multimedia students, a number of educational functions are implemented, which are presented in the article. Recommendations for using multimedia are given.

A Structure of Spiking Neural Networks(SNN) Compiler and a performance analysis of mapping algorithm (Spiking Neural Networks(SNN)를 위한 컴파일러 구조와 매핑 알고리즘 성능 분석)

  • Kim, Yongjoo;Kim, Taeho
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.5
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    • pp.613-618
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    • 2022
  • Research on artificial intelligence based on SNN (Spiking Neural Networks) is drawing attention as a next-generation artificial intelligence that can overcome the limitations of artificial intelligence based on DNN (Deep Neural Networks) that is currently popular. In this paper, we describe the structure of the SNN compiler, a system SW that generate code from SNN description for neuromorphic computing systems. We also introduce the algorithms used for compiler implementation and present experimental results on how the execution time varies in neuromorphic computing systems depending on the the mapping algorithm. The mapping algorithm proposed in the text showed a performance improvement of up to 3.96 times over a random mapping. The results of this study will allow SNNs to be applied in various neuromorphic hardware.

Pre-pregnancy Diet to Maternal and Child Health Outcome: A Scoping Review of Current Evidence

  • Fadila Wirawan;Desak Gede Arie Yudhantari;Aghnaa Gayatri
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.2
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    • pp.111-127
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    • 2023
  • Objectives: Pre-pregnancy diet has an important role in preparing for healthy generation. However, evidence on this issue has been scarce. A scoping review synthesising current evidence will support the demand to map 'what has been researched' on pre-pregnancy diet and maternal and child health. Methods: Systematic search was performed using PICOS (Population, Intervention, Comparison, Outcomes, and Study design) framework in electronic databases. Articles were screened for eligibility, summarized, and the quality was assessed using the National Institute of Health assessment tool. The review structure complies with Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews guide. Results: Forty-two articles were included after full-text screening. Twenty-five studies were in high-income countries (HICs), six in each upper-middle income, five in lower-middle income countries (LMICs), and one in low-income countries (LIC). Based on the regions: North America (n=16), Europe (n=5), South America (n=4), Australia (n=4), Asia (n=5), Middle East (n=2), and sub-Saharan Africa (n=1). The two-most observed diet-related exposures were dietary pattern (n=17) and dietary quality (n=12). The most assessed outcome was gestational diabetes mellitus (n=28) and fetal and newborn anthropometry (n=7). The average quality score±standard deviation was 70±18%. Conclusions: Research related to pre-pregnancy diet is still concentrated in HICs. The context of diet may vary; therefore, future research is encouraged in LMICs and LICs context, and Mediterranean, South-East Asia, Pacific, and African regions. Some maternal and child nutrition-related morbidity, such as anemia and micronutrient deficiencies, have not been discussed. Research on these aspects will benefit to fill in the gaps related to pre-pregnancy diet and maternal and child health.

Development of a Discussion-Centered Teaching and Learning Model (토의 중심 교수학습 모형 개발)

  • Yoon Ok Han
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.4
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    • pp.1-11
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    • 2023
  • The purpose of this study is to develop a discussion-centered teaching and learning model for nurturing creative and convergence talents. Regarding the research method, a draft model on discussion-centered teaching and learning was devised, and the model was completed through expert validation. The final draft was revised and supplemented by verifying how valid the model was when applied in class by using the derived final draft. Compared with the draft on discussion-centered teaching and learning model, the final model focused on text-reading emphasis, methods of questioning, and question generation strategies, excluding jigsaw discussions. The discussion-centered teaching and learning model developed in this study is expected to help instructors foster creative and convergence talents. Three suggestions have been provided to effectively apply this model to the field. First, an attitude of listening and respect is required during a discussion. Second, a plan should be considered on how to induce active participation of learners participating in the discussion. Third, the importance of managing discussion time was emphasized.

Review of Emergency Procedures for CANDU Reactors (캔두형 원자력 발전소 비상절차서 검토)

  • Kim, S.R.;Kwon, J.S.;Cho, J.H.;Park, S.H.;Nam, S.K.
    • Nuclear Engineering and Technology
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    • v.27 no.4
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    • pp.571-581
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    • 1995
  • The generation, verification and validation of Emergency Procedures for Nuclear Power Plant is a difficult and complex process. Atomic Energy Control Board(AECB) requires that emergency procedure and plan be produced before obtaining the Operating License, that is, detailed plans and procedures to handle emergency situations for both on-site actions and off-site actions be developed. In this report Emergency Operating Procedures Standard for Canadian Nuclear Utilities which makes reference to U. S. practices and the current direction of emergency procedures for CAN-DU reactors are reviewed and compared based on scope(events covered), methodology (event-oriented or symptom-oriented or hybrid) and format(method of presentation) preponderantly, and an attempt is made to integrate these procedures and as a result the recommended strategy for Wolsong unit 2, 3, & 4 is presented as event-specific procedures, generic procedures(when event is not diagnosed) and whose format is combination of logic diagram and text.

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Exploring Changes in Digital Keywords on Online Bookstores and Instagram: A Comparative Analysis of Before and After COVID-19 (인터넷 서점과 인스타그램에 나타난 디지털 키워드 변화 탐색 - 코로나19 발생 전후 비교 분석 -)

  • Suyeon Je;Siwon Kim;Rani Eom
    • Fashion & Textile Research Journal
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    • v.25 no.6
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    • pp.715-724
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    • 2023
  • This study analyzed the shifts that occurred before and after the outbreak of COVID-19 by scrutinizing digital keywords derived from prominent culture media, such as books and instagram. The analysis identified trends rooted in digital terminology. For this study, the period 2017 to 2022 was divided into three-year segments, before and after the outbreak of COVID-19. Subsequently, an analysis was conducted using digital keywords to assess the number of digital-related books and book hashtags, the number of instagram mentions, and relevant keywords. We found that COVID-19 exerted a discernible influence on information related to digital keywords, substantially impacting both the book publishing market and instagram. Notably, digital-related books have been published in a variety of fields since the outbreak, and new fields are emerging. The year 2020 saw the most significant growth in the mentions of digital terms on instagram. Such terms were used in conjunction with terminology related to people working in a digital environment, endeavors aimed at revenue generation in online spaces, leisure activities associated with art and culture, and online service platforms. Through the analysis of digital keywords, this study is expected to contribute to the understanding of digital trends and their future trajectories.

Virtual Reality Software for Review and Use of Structural Analysis Model of Hanok (한옥의 구조해석 모델 검토 및 활용을 위한 가상현실 소프트웨어)

  • Jonghyun Jung;Yeong-Min Kim
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.36 no.5
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    • pp.347-354
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    • 2023
  • In this study, virtual reality software was developed to support the generation of an analysis model of a Hanok and to increase the use of the completed analysis model. The structural analysis model of the Hanok was generated using midas Gen, a general-purpose structural analysis software. After converting it into a text-based input file, the developed software stores the data necessary for the examination of the analysis model. Then, in the developed virtual reality software, the three-dimensional analysis model of the Hanok can be visualized in various ways and the related data can be shown by selecting a specific member. Through this process, errors in the analysis model can be identified and corrected to build a complete analysis model. The developed software was applied to three Hanok cases to verify its applicability and effectiveness. The software is expected to be used in other fields besides the structural field.