• Title/Summary/Keyword: 텍스트 연구

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A Study to Hierarchical Visualization of Firewall Access Control Policies (방화벽 접근정책의 계층적 가시화 방법에 대한 연구)

  • Kim, Tae-yong;Kwon, Tae-woong;Lee, Jun;Lee, Youn-su;Song, Jung-suk
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.6
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    • pp.1087-1101
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    • 2020
  • Various security devices are used to protect internal networks and valuable information from rapidly evolving cyber attacks. Firewall, which is the most commonly used security device, tries to prevent malicious attacks based on a text-based filtering rule (i.e., access control policy), by allowing or blocking access to communicate between inside and outside environments. However, in order to protect a valuable internal network from large networks, it has no choice but to increase the number of access control policy. Moreover, the text-based policy requires time-consuming and labor cost to analyze various types of vulnerabilities in firewall. To solve these problems, this paper proposes a 3D-based hierarchical visualization method, for intuitive analysis and management of access control policy. In particular, by providing a drill-down user interface through hierarchical architecture, Can support the access policy analysis for not only comprehensive understanding of large-scale networks, but also sophisticated investigation of anomalies. Finally, we implement the proposed system architecture's to verify the practicality and validity of the hierarchical visualization methodology, and then attempt to identify the applicability of firewall data analysis in the real-world network environment.

Big Data Analysis for Strategic Use of Urban Brands: Case Study Seoul city brand "I SEOUL U" (도시 브랜드의 전략적 활용을 위한 빅데이터 분석 : 서울시 도시 브랜드 "I SEOUL U" 사례)

  • Lim, Haewen
    • The Journal of the Korea Contents Association
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    • v.22 no.1
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    • pp.197-213
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    • 2022
  • In this study, text mining analysis was performed on online big data for recognition and assessment of urban brand I Seoul U. To this end, TEXTOM, a processing program for data acquisition and analysis was used, and the 'I SEOUL U' keyword was selected as an analysis keyword. Keyword analysis shows the keywords associated with I Seoul U to be as follows: First, as a business and marketing term, keywords include pop-up store, gallery, co-branding, (festival, etc.), commodities, private companies and online. Second, as an event-related term, keywords include Han River, tree-planting day, tree planting, Hongdae, Christmas, Mapo, Jung-gu, Sejong University, and festival. Third, as a promotional term, keywords include robotics engineer Dr. Dennis Hong, Government, Art and Korea. In the N Gram analysis, as the city brand of Seoul, I Seoul U, in the public interest, was found to contribute to the commercial activities of private companies. In connection-oriented analysis, business and marketing, events, and promotions have been derived as categories. In matrix analysis, it was found that the products of the pop-up store are mainly developed, and products in the form of co-branding were being developed. In the topic modeling, a total of 10 topics were extracted and needs for commercial utilization and information for event festivals were mostly found.

Medical Narrative Texts and Medical Ethics (의료 서사와 의료 윤리)

  • Choi, Sung-Min
    • Journal of Popular Narrative
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    • v.26 no.3
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    • pp.291-323
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    • 2020
  • In this paper, I review Pellegrino's Reader, The Philosophy of Medicine Reborn. Pellegrino has emphasized the humanities' reflection on the ethics of medicine. He insists that medical ethics should be re-established as modern society changes. This paper, based on Pellegrino's view, noted the problematic situation in literature and popular narrative texts. Indeed, I wanted to see what answer medical ethics could provide for us. Medical personnel had a philosophical dilemma or a conflict between reality and ethics. Pellegrino argues that medical personnel, above all, need to sympathize with the patient's pain and respond to their needs through interaction with them. This may seem like a very legitimate declaration. But a physician in literary texts and popular narrative texts is often exposed to this ethical dilemma. Through Lee Cheongjun's novel, we can reflect on how a medical personnel could lead a patient to a state of "goodness". And through medical dramas, we can grasp what ethical behaviors the public demands from a medical personnel. Now that the world is suffering from COVID-19, medical workers are in a great trouble, but at the same time, they are respected by the public and are also enhancing their value as ethical beings. Now that medical care has become an everyday narrative, medical ethics is becoming a prerequisite for living. This paper attempted to recognize the importance of medical ethics and to review the ethical issues embodied in medical narratives.

Development of Educational Materials as a Card News Format for Milk Intake Education of the Elderly in Korea (노인 대상 우유 섭취 교육을 위한 카드뉴스 개발)

  • Kim, Sun Hyo
    • Journal of Korean Home Economics Education Association
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    • v.34 no.1
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    • pp.1-16
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    • 2022
  • This study was performed to develop educational materials in the form of card news that can be easily accessed on mobile phones or the Internet for milk intake education of the elderly based on the scientific evidence and their needs. The themes included in the card news were selected based on the literature and focus group interviews with 10 elderly individuals (78.10±6.66 years old). For the selected themes, information that elderly users most want to know was selected for the purpose of effective communication, while reflecting the eating habits, lifestyle, living environment, and nutrition and health status of the elderly in Korea. The draft of the card news was reviewed by the researcher, consulted by experts, and surveyed with 50 elderly individuals (70.44±5.16 years old). Based on the results of the review, consultations, and the survey, a final draft of the card news consisting of 12 pages was completed. The card news of the present study is expected to be an effective educational material considering the high level of satisfaction (higher than 4 on the 5-point scales) indicated by the survey respondents. Therefore this card news is expected to help increase milk intake through friendly milk education for the elderly.

Reliability Analysis of Privacy Policies Using Android Static Analysis (안드로이드 정적 분석을 활용한 개인정보 처리방침의 신뢰성 분석)

  • Yoonkyo, Jung
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.1
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    • pp.17-24
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    • 2023
  • Mobile apps frequently request permission to access sensitive data for user convenience. However, while using mobile applications, sensitive and personal data has been leaked even if users do not allow it. To deal with this problem, Google App Store has required developers to disclose how the mobile app handles user data in a privacy policy. However, users are not certain that the privacy policy describes all the app's behavior. They have no choice but to rely on the privacy policy to confirm how the app uses data. This study designed a system that checks the reliability of privacy policies by analyzing the privacy policy texts and mobile apps. First, the system extracts and analyzes the privacy policy texts to check which personal data the privacy policy discloses that the mobile apps can collect. After analyzing which data apps can access using android static analysis, we compare both results to analyze the reliability of privacy policies. For the experiment, we collected the APK files and metadata of about 13K android apps registered in the Google Play Store and preprocessed the apps by four conditions. According to the comparison between privacy policies and mobile app behavior, many apps can access more personal data than disclosed in the privacy policy.

Text Classification Using Heterogeneous Knowledge Distillation

  • Yu, Yerin;Kim, Namgyu
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.10
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    • pp.29-41
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    • 2022
  • Recently, with the development of deep learning technology, a variety of huge models with excellent performance have been devised by pre-training massive amounts of text data. However, in order for such a model to be applied to real-life services, the inference speed must be fast and the amount of computation must be low, so the technology for model compression is attracting attention. Knowledge distillation, a representative model compression, is attracting attention as it can be used in a variety of ways as a method of transferring the knowledge already learned by the teacher model to a relatively small-sized student model. However, knowledge distillation has a limitation in that it is difficult to solve problems with low similarity to previously learned data because only knowledge necessary for solving a given problem is learned in a teacher model and knowledge distillation to a student model is performed from the same point of view. Therefore, we propose a heterogeneous knowledge distillation method in which the teacher model learns a higher-level concept rather than the knowledge required for the task that the student model needs to solve, and the teacher model distills this knowledge to the student model. In addition, through classification experiments on about 18,000 documents, we confirmed that the heterogeneous knowledge distillation method showed superior performance in all aspects of learning efficiency and accuracy compared to the traditional knowledge distillation.

A Dilemma of Feminist Crime Narrative -focus on Yang Gui-Ja's Romance I Wish For What Is Forbidden (어느 페미니스트 범죄 서사의 딜레마 -양귀자의 『나는 소망한다 내게 금지된 것을』 소고)

  • Lee, Hye-Ryoung
    • Journal of Popular Narrative
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    • v.25 no.4
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    • pp.223-261
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    • 2019
  • This article is a reexamination of the feminist criminal narrative I wish for what is forbidden by Yang Gui-ja in the context of the rise of the women's movement and consumer culture of the middle class in Gangnam in the 1980s and 1990s. At this time, the explosive media culture served to strengthen the ideology that placed the middle-class family at the center as well as the consumption culture. The combination of consumer media culture, women's movement and democratization created a soft and domestic male image while visualizing the material foundation of the middle class in the 1990s of South Korea. In this novel, the domestic male image transforms the feminist criminal narrative into the narrative of the femme fatale attacking the stability and dignity of the middle class family, and at the moment of the transformation, the feminist woman Kang Min-ju is killed by a lower class man who has admired and loved her. This novel is not only current but also signifying as a text that overlaps sociocultural reproduction and feminist issues of the middle class based on Gangnam in the 1990s. This is because it shows the sociocultural context of femicide, such as serial murder of targeting women, as a core code of criminal narrative to be held in Korea since the late 1990s.

Comparison of Content related to 'Geology of the Korean Peninsula' presented in the Textbooks of the 2015 Revised Curriculum: Focused on Earth Science II and Korean Geography Textbooks (2015 개정 교육과정의 교과서에 제시된 '한반도의 지질' 내용 비교: 지구과학 II 및 한국지리 교과서를 중심으로)

  • Kyeong-Jin Park
    • Journal of the Korean earth science society
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    • v.44 no.3
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    • pp.236-252
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    • 2023
  • Both Earth science II and Korean geography textbooks emphasize the importance of content related to 'geology of the Korean Peninsula'. This study aimed to analyze the differences in the content related to the 'geology of the Korean Peninsula' presented in the textbooks, and to find out whether these differences are consistent with the latest scientific knowledge in any inconsistencies are found. For this purpose, seven textbooks (four Earth science II and three Korean geography) published under the 2015 revised curriculum were selected as the subject of analysis, and the difference in the description of the tectonic provinces of the Korean Peninsula, geologic time scale, and explanatory texts of geological characteristics between Earth science II and Korean geography textbooks were compared. As a result of the analysis, there are some cases of inconsistencies between Earth science II and Korean geography textbooks in terms of terminologies, names, and distribution ranges related to the tectonic provinces of the Korean Peninsula. The Korean geography textbooks had inconsistencies in the geochronologic data of the rocks as they cited outdated data. In addition, inconsistencies were found in the explanatory texts describing the 'distribution of rocks on the Korean Peninsula', 'characteristics of the Pyeongan Supergroup', and 'great hiatus of the Paleozoic Era'. Both Earth science and Geography have many concepts in common, therefore, effort is needed to minimize the differences in content. It is important to select the content appropriately which should reflect the latest scientific knowledge and presents the concepts consistently.

A Study on Fine-Tuning and Transfer Learning to Construct Binary Sentiment Classification Model in Korean Text (한글 텍스트 감정 이진 분류 모델 생성을 위한 미세 조정과 전이학습에 관한 연구)

  • JongSoo Kim
    • Journal of Korea Society of Industrial Information Systems
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    • v.28 no.5
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    • pp.15-30
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    • 2023
  • Recently, generative models based on the Transformer architecture, such as ChatGPT, have been gaining significant attention. The Transformer architecture has been applied to various neural network models, including Google's BERT(Bidirectional Encoder Representations from Transformers) sentence generation model. In this paper, a method is proposed to create a text binary classification model for determining whether a comment on Korean movie review is positive or negative. To accomplish this, a pre-trained multilingual BERT sentence generation model is fine-tuned and transfer learned using a new Korean training dataset. To achieve this, a pre-trained BERT-Base model for multilingual sentence generation with 104 languages, 12 layers, 768 hidden, 12 attention heads, and 110M parameters is used. To change the pre-trained BERT-Base model into a text classification model, the input and output layers were fine-tuned, resulting in the creation of a new model with 178 million parameters. Using the fine-tuned model, with a maximum word count of 128, a batch size of 16, and 5 epochs, transfer learning is conducted with 10,000 training data and 5,000 testing data. A text sentiment binary classification model for Korean movie review with an accuracy of 0.9582, a loss of 0.1177, and an F1 score of 0.81 has been created. As a result of performing transfer learning with a dataset five times larger, a model with an accuracy of 0.9562, a loss of 0.1202, and an F1 score of 0.86 has been generated.

An Analysis of the Support Policy for Small Businesses in the Post-Covid-19 Era Using the LDA Topic Model (LDA 토픽 모델을 활용한 포스트 Covid-19 시대의 소상공인 지원정책 분석)

  • Kyung-Do Suh;Jung-il Choi;Pan-Am Choi;Jaerim Jung
    • Journal of Industrial Convergence
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    • v.22 no.6
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    • pp.51-59
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    • 2024
  • The purpose of the paper is to suggest government policies that are practically helpful to small business owners in pandemic situations such as COVID-19. To this end, keyword frequency analysis and word cloud analysis of text mining analysis were performed by crawling news articles centered on the keywords "COVID-19 Support for Small Businesses", "The Impact of Small Businesses by Response System to COVID-19 Infectious Diseases", and "COVID-19 Small Business Economic Policy", and major issues were identified through LDA topic modeling analysis. As a result of conducting LDA topic modeling, the support policy for small business owners formed a topic label with government cash and financial support, and the impact of small business owners according to the COVID-19 infectious disease response system formed a topic label with a government-led quarantine system and an individual-led quarantine system, and the COVID-19 economic policy formed a topic label with a policy for small business owners to acquire economic crisis and self-sustainability. Focusing on the organized topic label, it was intended to provide basic data for small business owners to understand the damage reduction policy for small business owners and the policy for enhancing market competitiveness in the future pandemic situation.