• 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.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.11a
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• pp.170-173
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• 2006

본 연구는 모터 제조회사에서 모터 수명 향상을 위해 식스 시그마 방법론에 근거하여 개선한 사례연구이다. 모터 수명 향상 활동을 추진하기 위해 본 연구에서는 제조부문의 식스 시그마 프로젝트 추진절차인 Define-Measure-Analyze-Improve-Control 절차를 수행했다. 모터 수명과 연관된 불량 유형을 정의하고 불량 측정 시스템에 대한 계측시스템의 정도평가, 불량유형요인효과분석, 4Step Diagram과 같은 분석기법을 활용하여 수명에 중요한 요인도출, 중요 요인의 개선대책 수립 및 개선 확인 후 최종적으로 지속적인 신뢰성 관리 방안을 수립하였다. 본 연구는 대부분 영세한 모터 제조업체에서 모터수명 관리를 위해 많은 투자를 할 수 없는 현황을 고려할 때 신뢰성 관리의 효율적 방안을 제시한다.

• Journal of the Korea Computer Industry Society
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• v.4 no.4
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• pp.509-516
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• 2003

Smaller enterprises begin on practical use to form integrated informational system on the inside of company according to development of internet and information techniques. The past days, it was managed mainly information system for the inside of enterprise, but in the present time, e-business between enterprise and enterprise, enterprise and customer, country and enterprise, ERP system, etc are activated. To construct the integrated informationalized system, smaller enterprices use the informational process strategy methods to analyze and evaluate the level of enterprise, construct the information infra and informationalized system. In this paper, 1 introduce the informationalized process strategy method about implimentation of the integrated informationalized system for smaller enterprice, do the modelling for one smaller enterprice by proposed method.

• Journal of the Korea Institute of Building Construction
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• v.18 no.2
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• pp.169-176
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• 2018

The purpose of this study is to analyze the effects of applying BIM to the construction phase on preventing rework. Previous studies have presented the contribution of BIM in various ways, but a more practical and reliable analysis methodology are required. In this study, a BIM effect analysis methodology was proposed after collecting requirements on BIM effect analysis from field professionals. In the case study, the rework prevention effect was analyzed based on the proposed methodology. As a result, it was found that BIM application produced the rework prevention effect of approximately KRW 370,519,593. In addition, a consultation with field professionals on the suitability of the proposed methodology and effect analysis results were revealed that the results were sufficiently reliable. The results of this study can be used as efficient basic materials for research on BIM performance measurement in the future.

• Clean Technology
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• v.25 no.3
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• pp.263-272
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• 2019

Air pollutants have a high impact on everyday life as well as on human health; therefore, new technologies such as low-emission vehicles and add-on systems for air pollutant reduction are needed for our society. However, the environmental benefits and costs of those technologies are not taken into account in existing economic feasibility assessments, which is a barrier that needs to be overcome for green technology to achieve wide dissemination and fast penetration in the market. Thus, this study develops a methodology to assess the economic feasibility of an air pollutant reduction technology by taking into account the social costs from air pollutants and carries out a case study to validate the methodology. Because the social unit costs for air pollutants have not been evaluated yet in South Korea, the methodology uses the social unit costs evaluated for the European Union that are then converted to those for South Korea based on the measuring criteria for vehicle emission gases, parity purchasing price, foreign currency exchange rate, and customer price index. The social unit costs for South Korea are used to assess economic feasibility. A case study was performed to assess the economic feasibility of a dual fuel system using diesel and compressed natural gas by taking into account social costs from air pollutants as well as economic costs. This study could contribute to assessing the true economic feasibility of green technology, projects, and policy related with air pollutant reduction.

• Korean Journal of Construction Engineering and Management
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• v.20 no.4
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• pp.69-76
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• 2019

This paper presents a method that identifies the unsafe behaviors at the level of near-misses using image analysis. The method establishes potential collision hazardous area in earthmoving operation. It is implemented using a game engine to reproduce the dangerous events that have been accepted as major difficulty in utilizing computer vision technology to support construction safety management. The method keeps realistically track of the ever-changing hazardous area by reflecting the volatile field conditions. The method opens a way to distinguish unsafe conditions and unsafe behaviors that have been overlooked in previous studies, and reflects the causal relationship which causes an accident. The case study demonstrate how to identify the unsafe behavior of a worker exposed to an unsafe area created by dump trucks at the level of near-misses and to determine the hazardous areas.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.1
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• pp.61-67
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• 2014

A SaaS cloud service represents a model deployed and running on a cloud platform to enable users to use software as an online service. This work proposes a development methodology adequate for the effective development of SaaS cloud services. For doing this, we first analyzed the current state of companies developing SaaS cloud services and identified key factors for the development of SaaS cloud services. Then, we selected and tailored the methodology that is best suited for the development of SaaS cloud services among existing software development methodologies. To validate the applicability of the proposed methodology, we performed a case study tailoring the development methodology adequate for the company developing SaaS cloud services.

• 한국벤처창업학회:학술대회논문집
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• 2024.04a
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• pp.135-141
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• 2024

최근 정부정책과 국내외 초격차기술 및 딥테크 중요성 대두로 어느때보다 기술창업에 대한 수요와 필요성이 높아지고 있다. 특히, 대기업과 함께 스타트업에서도 초격차 기술을 포함한 딥테크에 대한 접근성이 용이해지고 기술사업화를 통한 적기 시장진입을 위하여 다양한 시도와 노력을 수행하고 있다. 대기업에서는 국내에서도 점차 활성화되고 있는 Corporate Venture Capital과 함께 기술스카우팅등을 통한 사내벤처링(Corporate Venturing) 방법론을 통하여 기업의 신성장 동력확보에 노력하고 있다. 스타트업계에서는 정부 정책과 지원을 통한 다양한 사업들이 진행되고 있으며 중견 민간기업에서도 국내외 스타트업과 관련 창업보육기관들과 함께 다양한 상생협력 활동을 하고 있다. 특히, 극초기 기업을 발굴하고 보육하는 액셀러레이터 즉 컴퍼니빌딩에 대한 사례가 많음은 관련 업계 누구나 부인할 수 없는 현상이다. 본 연구에서는 저자가 대기업에서 다년간 참여한 사내벤처링 방법론 현장에서의 경험을 토대로, 대학에서 기술창업기업 발굴에 대한 방법론을 기획하고 지난 3년간 현장에서 직접 실행한 경험을 토대로 초격차기술창업 발굴과 성장전략 방법론을 제언하고자 한다. 파괴적 혁신의 패러다임이 제안된후 다양한 영역과 부문에서 이론에 대한 검증도 병행된 것처럼, 초격차기술창업 발굴의 수요가 급중하고 있는 현시점에 현실적이며 robust한 고유한 방법론이 연구되어 결과물이 기업과 시장에 적용되는 것을 기대해본다.

• The Korean Journal of Applied Statistics
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• v.29 no.6
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• pp.1007-1023
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• 2016

This paper explores the conditions and potential of newly designed and tried methodology of big data analysis that apply to Korean history subject matter. In order to advance them, we need to pay more attention to quantitative analysis methodologies over pre-existing qualitative analysis. To obtain our new challenge, I propose 'digital history' methods along with associated disciplines such as linguistics and computer science, data science and statistics, and visualization techniques. As one example, I apply interdisciplinary convergence approaches to the principle and mechanism of elite reproduction during the Korean medieval age. I propose how to compensate for a lack of historical material by applying a semi-supervised learning method, how to create a database that utilizes text-mining techniques, how to analyze quantitative data with statistical methods, and how to indicate analytical outcomes with intuitive visualization.

• Informatization Policy
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• v.26 no.4
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• pp.85-106
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• 2019

Recently, there have been increasing cases of collective petitions filed in the electronic petitions system. However, there is no efficient management system, raising concerns on side effects such as increased administrative workload and mass production of social conflicts. Aimed at suggesting a methodology for estimating electronic collective petitions using anomaly detection and corpus linguistics-based content analysis, this study conducted the followings: i) a theoretical review of the concept of collective petitions, ii) estimation of electronic collective petitions using anomaly detection based on nonparametric unsupervised learning, iii) a content similarity analysis on petitions using n-gram cosine angle distance, and iv) a case study on the Voice of Citizens of Changwon City, through which the utility of the proposed methodology, policy implications and future tasks were reviewed.