• Journal of The Korean Association of Information Education
• /
• v.26 no.5
• /
• pp.417-425
• /
• 2022

The 'Comprehensive Plan for Nurturing Digital Talents' reported at the Cabinet meeting of the Ministry of Education in August 2022 focuses on qualitative and quantitative expansion of informatics education centered on SW, AI education. With the advent of the era of artificial intelligence, data science education is also drawing attention as a field of informatics education. Data science is originally a field where various studies are fused, and advanced technologies are being used for data analysis, modeling, and machine learning. This study devised a draft of the instructional model of data science education through literature research and analysis of previous studies, and developed a final instructional model through usability test and expert validation.

• 한국체육학회지인문사회과학편
• /
• v.56 no.4
• /
• pp.397-413
• /
• 2017

The purpose of this study is to introduce the case and to provide related information for the physical education major to handle and utilize the social big data through the exploratory study for the application of sports industry in the fourth industrial revolution. For this study, data was collected from the article database, which covers the keyword such as 'Social Big Data', 'Sports' and so on. The analyzed articles were 86 articles. As a results, The research on social big data applied to sports industry are as follows: 1) Analysis of major issues related to sports fans' interests and sports events, 2) A study on media sports engagement, 3) The prediction analysis of sports game based on the sentiment analysis, 4) Development of salary estimation model for professional player in sports, 5) Research trend analysis and so on. In conclusion, the social big data analysis technology in the sports industry and management can be utilized variously. Therefore, the specialists of the sports industry and management field need to learn the techniques, to acquire the know-how for the research project, to convert the convergence thinking.

• The Korean Journal of Applied Statistics
• /
• v.26 no.5
• /
• pp.807-819
• /
• 2013

A recurrence plot can be used as a graphical exploratory data analysis tool before confirmatory time series analysis. With the recurrence plot, we can obtain the structural pattern of the time series and recognize the structural change points in a time series at a glance. Korean stock data shows the usefulness of the recurrence plot as a graphical exploratory data analysis tool for time series data.

• The Korean Journal of Applied Statistics
• /
• v.37 no.1
• /
• pp.87-102
• /
• 2024

Digital transformation refers to the process by which a company or organization changes or innovates its existing business model or sales activities using digital technology. This requires the use of various digital technologies - cloud computing, IoT, artificial intelligence, etc. - to strengthen competitiveness in the market, improve customer experience, and discover new businesses. In addition, in order to derive knowledge and insight about the market, customers, and production environment, it is necessary to select the right data, preprocess the data to an analyzable state, and establish the right process for systematic analysis suitable for the purpose. The usefulness of such digital data is determined by the importance of pre-processing and the correct application of exploratory data analysis (EDA), which is useful for information and hypothesis exploration and visualization of knowledge and insights. In this paper, we reexamine the philosophy and basic concepts of EDA and discuss key visualization information, information expression methods based on the grammar of graphics, and the ACCENT principle, which is the final visualization review standard, for effective visualization.

• Proceedings of the Korea Society for Simulation Conference
• /
• 1997.04a
• /
• pp.75-80
• /
• 1997

본 연구에서는 대용량의 데이터를 고속으로 입출력할 수 있는 데이터 저장 시스템 이 가져야할 요구사항을 분석하고, 그것을 만족하는 시스템을 설계하였다. 본 논문에서는 우선 고속 대용량, 랜덤 억세스의 조건을 만족시키기 위해 여러 대의 하드 디스크를 병렬로 연결하여 입력되는 데이터들을 나누어 저장하도록 하였다. 그러나 하드 디스크의 성능은 디 스크 아암의 탐색동작에 의해 크게 영향을 받으므로 실시간 요구 조건을 만족시키기 위해선 단순히 디스크의 수를 늘이는 것 외에 디스크 아암의 탐색 동작을 효율적으로 제어할 수 있 는 방법이 필요하다. 그래서 본 논문에서 설계된 시스템에서는 시스템을 MCU(Master Control Unit), DDU(Data Distribution Unit), SCU(Slave Control Unit), DSU(Data Storage Unit)의 4부분으로 나누고, 각 디스크의 디스크 아암 탐색 동작을 독립된 SCU에서 제어하 도록 하였다. 설계된 내용이 주어진 요구사항들을 만족하는 것을 확인하기 위해, 본 논문에 서는 이산사건 시스템을 기술하는 수학적인 언어인 DEVS 형식론을 이용하여 제안된 시스 템을 기술하고 시뮬레이션하였다. 그리고 시뮬레이션되는 과정에서 생산되는 사건들의 궤적 을 분석하였다. 분석결과 제안된 시스템은 앞에서 제시한 여러 요구사항들을 잘 수용함을 보았다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04a
• /
• pp.955-957
• /
• 2004

DNA 마이크로어레이(microarray)란 새로운 개념의 기술이 도입되면서, 이를 이용하여 유전체(genome)를 탐색하거나, 동시에 수천 개의 유전자간의 상호작용을 관찰 할 수 있게 되었다. 이러한 이점으로 인하여, 많은 DNA 마이크로어레이 실험이 시행되고 있다. DNA 마이크로어레이 실험으로 생성되는 이미지 데이터는 그 양이 방대하고, 분석하는 연구자에 따라 판정이 달라질 수 있으므로, 이를 효율적으로 분석할 수 있는 방법들이 필요하게 되었다. 하지만, 마이크로어레이 이미지 데이터는 반점(Spot) 위치의 변동이나 반점의 모양, 크기가 고르지 않는 것과 칼은 다양한 문제로 인하여 자동적으로 분석하기는 어렵다. 본 논문에서는 마이크로어레이의 균일 격자(regular grid) 구조 탐색을 이용하여 새로운 주소 결정 알고리즘을 소개한다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.10a
• /
• pp.110-112
• /
• 2000

최근 몇 년간 시계열 데이터의 저장 및 분석에 대한 연구가 활발히 진행되고 있으며, 시계열 데이터베이스에서 유사패턴(similarity pattern)을 탐색하는 기법이 광범위한 응용분야에서 중요한 연구주제로 자리잡고 있다. 본 논문에서는 회귀분석방법을 바탕으로 한 분해 시계열 방법을 이용함으로써 기존의 유사성의 개념을 확장시켰다. 즉, 시계열 데이터가 가지고 있는 패턴을 여러 성분으로 분해하여 각기 다른 저장 공간에 저장하고, 이를 이용하여 유사성을 탐색할 때에도 분리된 각 성분 중 특정 변동특성이 유사한 데이터를 추가적으로 요구되는 시간없이 검색할 수 있다. 이는 전체 시계열 데이터를 이해하는데 뿐만 아니라 데이터를 예측하는 방법에도 유용하게 사용될 수 있다.

• Journal of the Korean association of regional geographers
• /
• v.16 no.5
• /
• pp.590-609
• /
• 2010

The purpose of the study is to propose and evaluate Exploratory Spatial Data Analysis(ESDA) methods for examining age-specific population migration characteristics. First, population migration pyramid which is a pyramid-shaped graph designed with in-migration, out-migration, and net migration by age (or age group), was developed as a tool exploring age-specific migration propensities and structures. Second, various spatial statistics techniques based on local indicators of spatial association(LISA) such as Local Moran''s $I_i$, Getis-Ord ${G_i}^*$, and AMOEBA were suggested as ways to detect spatial dusters of age-specific net migration rate. These ESDA techniques were applied to age-specific population migration of Daegu Metropolitan City. Application results demonstrated that suggested ESDA methods can effectively detect new information and patterns such as contribution of age-specific migration propensities to population changes in a given region, relationship among different age groups, hot and cold spot of age-specific net migration rate, and similarity between age-specific spatial clusters.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.23 no.5
• /
• pp.931-938
• /
• 2013

It is hard to extract original data from encrypted data before getting the password in encrypted data with disk encryption software. This encryption key of disk encryption software can be extract by using physical memory analysis. Searching encryption key time in the physical memory increases with the size of memory because it is intended for whole memory. But physical memory data includes a lot of data that is unrelated to encryption keys like system kernel objects and file data. Therefore, it needs the method that extracts valid data for searching keys by analysis. We provide a method that collect only saved memory parts of disk encrypting keys in physical memory by analyzing Windows kernel virtual address space. We demonstrate superiority because the suggested method experimentally reduces more of the encryption key searching space than the existing method.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.24 no.2
• /
• pp.231-246
• /
• 2013

This paper attempts to explore the use of social metadata in academic libraries. A total of 173 academic libraries were examined and analyzed. Various social metadata were reviewed, involved with users' participation and contribution. Error-reports, tagging, recommendations, ratings, reviews, comments, sharing, and community were identified that support selection, sharing and collaboration through social engagement. Suggestions drawn from the findings are offered to utilize social metadata in order to enhance users' contribution and interaction. It is hoped that this exploratory study will provide insight into the use of social metadata in academic libraries.