• Journal of the Korean Society for information Management
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• v.5 no.1
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• pp.104-130
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• 1988

The purpose of this study is to grasp the research activities of Korean statisticians and scientific properties of statistics field guantitatively by analyzing its literature with various bibliometric research methods. In this study the productivity of authors arid cited literatures were analyzed.

• Journal of the Korean Data and Information Science Society
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• v.22 no.1
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• pp.49-55
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• 2011

There are tries to unite through consilience in many fields. Interdisciplinary research is an instance of those. Linguistic studies called linguistic informatics or quantitative linguistics is a field of interdisciplinary research related with statistics linguists have studied chiefly statistics and linguistics. In the statistical aspect, there is need to supplement somewhat of the result of researches by linguists. This study shows statistical method can supplement insufficient objectivity in linguistic studies, and examines the way to raise a degree of completion of interdisciplinary research on statistics and linguistics. This study also shows an introduction and application of the statistical method can be useful for the deduction of objective linguistic information in linguistic studies.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.541-544
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• 2004

웹 서비스는 벤더들에 따라 다르게 사용되던 시스템들을 표준 기술인 XML과 SOAP를 이용하여 통합할 수 있게 해주었다. 이러한 웹 서비스 시스템에서는 다양한 시스템들과 통합을 제공하기 위한 많은 처리 로직이 필요하기 때문에 시스템이 복잡해진다는 문제점을 가지고 있다. 본 논문에서는 이러한 문제점을 해결하기 위해서 CBD 방법론을 사용하며, 웹 서비스를 이용한 플랫폼에 독립적인 시스템을 설계 및 구현 한다. 제안한 방법이 효율적임을 보이기 위해 운동선수 관리 시스템을 모델로 설계 및 구현한다. 제안한 방법을 이용하여 구현한 시스템은 플랫폼 및 프로그램 언어에 독립적으로 구축이 가능하게 되었고, 시스템의 중요 부분을 컴포넌트로 제작하여 관리 및 유지보수의 효용성을 가져왔다.

• Communications of Mathematical Education
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• v.29 no.4
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• pp.573-588
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• 2015

In this paper, we introduce development process and application of a simple and effective model of a statistics laboratory using open source software R, one of leading language and environment for statistical computing and graphics. This model consists of HTML files, including Sage cells, video lectures and enough internet resources. Users do not have to install statistical softwares to run their code. Clicking 'evaluate' button in the web page displays the result that is calculated through cloud-computing environment. Hence, with any type of mobile equipment and internet, learners can freely practice statistical concepts and theorems via various examples with sample R (or Sage) codes which were given, while instructors can easily design and modify it for his/her lectures, only gathering many existing resources and editing HTML file. This will be a resonable model of laboratory for studying statistics. This model with bunch of provided materials will reduce the time and effort needed for R-beginners to be acquainted with and understand R language and also stimulate beginners' interest in statistics. We introduce this interactive statistical laboratory as an useful model for beginners to learn basic statistical concepts and R.

• Journal of the Korean housing association
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• v.17 no.4
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• pp.131-143
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• 2006

Nowadays, diverse mass media discovers and introduces outstanding management cases of apartment complexes to induce vital competitions of constructors and active participation of residents to apartment management. This study statistically analyzed the management issues of outstanding apartment complexes that have been introduced by mass media with lexical criteria to examine the characteristics of their exemplary management. The key issues of outstanding apartment management are summarized as: efficient management of convenient facilities for residents, community activities based on residents' participation, and maintenance of pleasant living environments through transparent management. Also, the result of the relation arrangement of co-occurrence word from a Social Network Analysis included three key concepts of multi-family housing management - Maintenance Management, Operating Management, and Community Life Management - with emphasis on 'residents' and 'apartment complexes.' However, Operating Management was relatively deemphasized.

• The Korean Journal of Applied Statistics
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• v.33 no.6
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• pp.665-682
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• 2020

This paper introduces numba library in Python, which improves computational efficiency of the provided implemented code written by naive Python language by applying just-in-time (JIT) compilation. To apply just-in-time compilation, the numba only needs to use a decorator on a target Python function. We provide implementation examples with numba for the permutation test and the parameter estimation for Gaussian mixture distribution. We also numerically show the efficiency of numba by comparing the total computation times of the implementation using naive python and the implementation using numba for each application.

• The Korean Journal of Applied Statistics
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• v.35 no.1
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• pp.147-159
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• 2022

Nowadays, various social media platforms are widely spread and people closely use such platforms in daily life. By doing so, social influencers with a large number of subscribers, views, and comments have huge impact in our society. Following this trend, many companies are actively using influencers for marketing purpose to promote their products and services. In this study, we extract the speeches of influencers from videos for game marketing and analyze them using various text mining techniques. In the analysis, we distinguish game videos leading to successful marketing and failed marketing, and we explore and compare the linguistic features of the influencers for successful and failed marketings.

• The Korean Journal of Applied Statistics
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• v.36 no.6
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• pp.515-528
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• 2023

With the growth of the e-commerce market, consumers increasingly rely on user reviews to make purchasing decisions. Consequently, researchers are actively conducting studies to effectively analyze these reviews. Among the various methods of sentiment analysis, the aspect-based sentiment analysis approach, which examines user reviews from multiple angles rather than solely relying on simple positive or negative sentiments, is gaining widespread attention. Among the various methodologies for aspect-based sentiment analysis, there is an analysis method using a transformer-based model, which is the latest natural language processing technology. In this paper, we conduct an aspect-based sentiment analysis on multilingual user reviews using two real datasets from the latest natural language processing technology model. Specifically, we use restaurant data from the SemEval 2016 public dataset and multilingual user review data from the cosmetic domain. We compare the performance of transformer-based models for aspect-based sentiment analysis and apply various methodologies to improve their performance. Models using multilingual data are expected to be highly useful in that they can analyze multiple languages in one model without building separate models for each language.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.30 no.1
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• pp.34-38
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• 2019

Background and Objectives : The aim of this study is verify the correlation between benign laryngeal mucosal disease and metabolic syndrome. Materials and Method : Data for patients diagnosed with benign laryngeal mucosal disease and metabolic syndrome from 2006 to 2015 were selected for analysis from the National Health Insurance Service database. Results : The prevalence of Metabolic syndrome was 2,179,785 out of 6,437,051 patients (33.86%). The prevalence of benign laryngeal mucosal disease was 516,594 out of 6,437,051 patients (8.03%). Metabolic syndrome was a risk factor for benign laryngeal mucosal disease [hazard ratio: 0.99, 95% confidence interval: 0.984-0.997] after adjusting for age and other variables including age, gender, smoking status, alcohol intake, exercise, body mass index, and diabetes. The number of metabolic syndrome components was also risk factor. Conclusion : Metabolic syndrome was related to the incidence of benign laryngeal mucosal disease. However this correlation did not seem to be high.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.563-567
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• 2023

본 연구는 한국 통계청이 수행하는 가계동향조사와 생활시간조사에서 자료처리 과정 및 방법을 혁신하려는 시도로, 기존의 통계 생산 방법론의 한계를 극복하고, 대규모 데이터의 효과적인 관리와 분석을 가능하게 하는 인공지능 기반의 통계 생산을 목표로 한다. 본 연구는 데이터 과학과 통계학의 교차점에서 진행되며, 인공지능 기술, 특히 자연어 처리와 딥러닝을 활용하여 비정형 텍스트 분류 방법의 성능을 검증하며, 인공지능 기반 통계분류 방법론의 확장성과 추가적인 조사 확대 적용의 가능성을 탐구한다. 이 연구의 결과는 통계 데이터의 품질 향상과 신뢰성 증가에 기여하며, 국민의 생활 패턴과 행동에 대한 더 깊고 정확한 이해를 제공한다.