• Journal of Labour Economics
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• v.24 no.2
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• pp.125-162
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• 2001

According to the survey results on non-standard employment, most of the non-standard workers are women and work at service jobs and some jobs that do not require firm-specific skill. Also wages of non-standard workers appear to be lower than those of standard workers by 10~19%. Non-standard workers are very much likely to be excluded from beneficiaries of economic growth because job contents and ability are not important relatively as criteria in determining their basic wage and their benefits are also much lower in severance pay and bonuses, vacations, 4 social insurances, education and training opportunities. Because of very low rate of union membership, the working conditions of non-standard workers are not expected to be improvable easily by unions. It seems that the reason of the demand increase for non-standard workers is mainly because not only an individual establishment demands quantitative flexibility in employment, but also there are tendencies of being smaller in establishment size and of growing service industries macro-economically. The number of non-standard workers are expected to increase continuously in the future, too.

• Communications of Mathematical Education
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• v.18 no.1 s.18
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• pp.19-25
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• 2004

초등학교에서 고학년으로 갈수록 수학에 대한 흥미가 떨어지고 수학을 기피하는 학생들을 많이 볼 수 있다. 그러한 아동들의 대부분은 수학에 대한 어려움을 많이 호소하고 있는데 특히 비정형화된 문제들을 대할 때엔 그 현상은 더욱 심각하다. 초등학교 수학 교과서의 마지막 단원은 '문제 푸는 방법 찾기' 단원인데, 이 단원에 제시된 문제들은 대체로 비정형화된 문제들이다. 정형화된 문제에 익숙한 아동들은 이러한 비정형 문제들을 해결하는 데에 상당히 어려움을 나타내곤 한다. 본교에서는 이러한 아동들의 어려움을 해결할 수 있는 방안으로 협력학습을 택하였다. 또래들과의 상호작용 속에서 비정형화된 문제에 보다 친숙하게 접근하고 해결해 나가는 과정을 반복하다 보면 수학에 대한 흥미를 되찾게 되고, 문제 해결력과 수학적 사고력이 향상될 것으로 기대된다.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.565-570
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• 2009

국내의 비정형 건축물은 현재 도입기로, 동대문디자인파크, 전곡선사박물관, 부산국제영화센터 등이 건설 계획 되어지고 있지만 대부분이 실시설계 또는 착공단계에 머물고 있고, 아직까지 구체적인 시공단계에 이른 건축물이 없는 실정으로 비정형외장재의 이중곡률 (Non-Uniform Rational B-Spines)을 반영한 프로토타이핑(Prototyping), 패널화(Panelizing), 현장조립 시 기하학 통제기법, 시공오차 측정기법, As-Planned 도면과 As-Built 도면의 비교를 통한 준공도면의 작성기법 등에 대한 준비가 절실히 필요한 상황이다. 그러나 현재 비정형 건축물의 설계는 초기계획(Concept Design) 단계에서 건축가와 구조기술자의 협업 중요성만 강조되고 있고, 건축물이 비정형화됨에 따라 기하학적으로 설계 및 시공되어야 하는 건축물의 외장재에 대한 설계방법과 시공단계에서 시공품질 확보방안, 시공 하자를 유발시키는 다양한 변수에 대한 대응방안 등은 아직까지도 그 중요성을 인식하지 못하고 있는 실정이다. 따라서 본 연구에서는 비정형 건축물의 설계에 사용되는 Architectural Geometry Control 도구 중 그 활용성이 부각되어 지고 있는 Bentley 사의 Generative Components를 활용하여 비정형 건축물의 이중곡률 곡면외장재의 부재생산을 위한 패널화, 제작도면 추출에 관한 연구를 수행하고자 한다.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.127-135
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• 2020

As the importance of the use and analysis of big data is emerging, there is a growing interest in natural language processing techniques for unstructured data such as news articles and comments. Particularly, as the collection of big data becomes possible, data mining techniques capable of pre-processing and analyzing data are emerging. In this case study with a telecom company, we propose a methodology how to formalize unstructured data using text mining. The domain is determined as equipment failure and the data is about 2.2 million equipment check ledger data. Data on equipment failures by 800,000 per year is accumulated in the equipment check ledger. The equipment check ledger coexist with both formal and unstructured data. Although formal data can be easily used for analysis, unstructured data is difficult to be used immediately for analysis. However, in unstructured data, there is a high possibility that important information. Because it can be contained that is not written in a formal. Therefore, in this study, we study to develop digital transformation method for unstructured data in equipment check ledger.

• Journal of Korea Water Resources Association
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• v.52 no.11
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• pp.931-940
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• 2019

In hydrologic models, parameters are mainly used to reflect hydrologic elements or to supplement the simplified models. In this process, the proper selection of the parameters in the model can reduce the uncertainty. Accordingly, this study attempted to quantify the uncertainty of SWAT parameters using the General Likelihood Uncertainty Estimation (GLUE). Uncertainty analysis on SWAT parameters was conducted by using the formal and informal likelihood measures. The Lognormal function and Nash-Sutcliffe Efficiency (NSE) were used for formal and informal likelihood, respectively. Subjective factors are included in the selection of the likelihood function and the threshold, but the behavioral models were created by selecting top 30% lognormal for formal likelihood and NSE above 0.5 for informal likelihood. Despite the subjectivity in the selection of the likelihood and the threshold, there was a small difference between the formal and informal likelihoods. In addition, among the SWAT parameters, ALPHA_BF which reflects baseflow characteristics is the most sensitive. Based on this study, if the range of SWAT model parameters satisfying a certain threshold for each watershed is classified, it is expected that users will have more practical or academic access to the SWAT model.

• Journal of Internet Computing and Services
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• v.15 no.1
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• pp.103-112
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• 2014

In recent years, the rapid diffusion of smart devices and growth of internet usage and social media has led to a constant production of huge amount of valuable data set that includes personal information, buying patterns, location information and other things. IT and Production Infrastructure has also started to produce its own data with the vitalization of M2M (Machine-to-Machine) and IoT (Internet of Things). This analysis study researches the applicable effects of Structured and Unstructured Big Data in various business circumstances, and purposes to find out the value creation method for a corporation through the Structured and Unstructured Big Data case studies. The result demonstrates that corporations looking for the optimized big data utilization plan could maximize their creative values by utilizing Unstructured and Structured Big Data generated interior and exterior of corporations.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.67-73
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• 2018

Researchers have increased their interest in effectively managing the disaster that appear in large scale and complex form. There are two types of disaster information, which are unstructured text data and structured data. Unstructured text data usually refers to text documents that have been referenced by disaster management personnel such as disaster manuals and related regulations, while structured data refers to various disaster information build in the disaster related organization system. This paper proposes a methodology of constructing a disaster information sharing system that enables joint use of disaster related organizations through the establishment of a mutual linkage system by utilizing both unstructured and structured form of disaster information. Especially, Based on the linkage information between structured earthquake information in earthquake related system and earthquake manuals and countermeasures against earthquake disaster, we propose a service that provides the necessary information for earthquake management. It is expected that the task manager will perform effective earthquake state management by acquiring the integrated structured and unstructured earthquake information of the ministries and related organizations.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.3
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• pp.87-97
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• 2018

The traffic accident reports that are generated by the Traffic Broadcasting Networks(TBN) are unstructured data. It, however, has the value as some sort of real-time traffic information generated by the viewpoint of the drives and/or pedestrians that were on the roads, the time and spots, not the offender or the victim who caused the traffic accidents. However, the traffic accident reports, which are big data, were not applied to traffic accident analysis and traffic related research commonly. This study adopting text-mining technique was able to provide a clue for utilizing it for the impacts of traffic accidents. Seven years of traffic reports were grasped by this analysis. By analyzing the reports, it was possible to identify the road names, accident spot names, time, and to identify factors that have the greatest influence on other drivers due to traffic accidents. Authors plan to combine unstructured accident data with traffic reports for further study.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.386-386
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• 2020

가뭄은 강수, 증발산, 대기온도, 토양수분 등 다양한 수문기상학적 인자들이 복합적으로 작용하여 발생되기 때문에 가뭄의 정확한 사상을 분석하는 것은 매우 어렵다. 또한 어떤 요인을 중심으로 고려하느냐에 따라 가뭄은 다양한 시각으로 정의되고 있다. 일정기간 평균 강수량보다 적은 강수로 인해 건조한 날이 지속되는 것, 즉 기상요소를 중심으로 가뭄을 정의하는 것을 기상학적 가뭄이라 하며, 작물의 생육에 필요한 수분을 중심으로 고려하는 것을 농업적 가뭄이라 한다. 또한 하천유량, 댐 저수량 등 전반적인 수자원 공급원의 부족을 수문학적 가뭄이라 한다. 이와 같이 다양하게 나타는 가뭄의 발생특성을 정량적으로 해석하기 위해 다양한 가뭄지수가 개발되어 왔다. 그러나 현재까지 개발된 가뭄지수들은 공통적으로 정형데이터를 활용하여 산정한다. 하지만 최근에는 비정형데이터를 활용하여 지수(Index)를 산정하거나, 재난관리에 적용하는 등 비정형 데이터의 활용이 급증하고 있다. 따라서 본 연구에서는 비정형 데이터(뉴스 데이터)를 활용하여 가뭄지수를 산정하고 기존의 가뭄지수들과의 상관성 분석을 실시 한 뒤, 지수결합을 통해 가뭄사상 분석의 새로운 방안을 제시하고자 하였다. 본 연구의 공간적범위는 2014~2015 충남서북부가뭄 지역 중 가장 큰 피해를 입었던 보령지역으로 선정하였으며 시간적범위는 2013~2016년으로 설정하였다. 비정형 데이터의 구축은 크롤링(Crawling)을 활용하여 네이버 뉴스의 기사를 수집하였으며 자료의 신뢰성을 위해 URL이 동일한 중복기사 및 '보령', '가뭄' 단어가 없는 기사는 제거하였다. 구축된 데이터를 기반으로 월별 빈도를 산출하고 표준점수(Z-score)로 환산하여 가뭄지수를 산정하였다. 산정된 가뭄지수가 어떤 가뭄의 유형(기상학적, 농업적, 수문학적)을 보이는지 확인하기 위해 기존의 가뭄지수들과 상관성분석을 실시하였으며, 가장 높은 상관성을 보이는 가뭄지수와 결합을 통해 새로운 가뭄 사상을 분석하였다. 본 연구에서 진행한 가뭄사상 분석은 향후 가뭄만이 아니라 다양한 재난분야에서 비정형 데이터를 활용한 분석의 기초로자료로 활용될 수 있을 것이다.

• KIPS Transactions on Computer and Communication Systems
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• v.10 no.3
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• pp.59-70
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• 2021

With the recent advancements in the Internet of Things, context-aware system that provides customized services become important to consider. The existing context-aware systems analyze data generated around the user and abstract the context information that expresses the state of situations. However, these datasets is mostly unstructured and have difficulty in processing with simple approaches. Therefore, providing context-aware services using the datasets should be managed in simplified method. One of examples that should be considered as the unstructured datasets is a deep learning application. Processes in deep learning applications have a strong coupling in a way of abstracting dataset from the acquisition to analysis phases, it has less flexible when the target analysis model or applications are modified in functional scalability. Therefore, an abstraction model that separates the phases and process the unstructured dataset for analysis is proposed. The proposed abstraction utilizes a description name Analysis Model Description Language(AMDL) to deploy the analysis phases by each fat client is a specifically designed instance for resource-oriented tasks in edge computing environments how to handle different analysis applications and its factors using the AMDL and Fat client profiles. The experiment shows functional scalability through examples of AMDL and Fat client profiles targeting a vehicle image recognition model for vehicle access control notification service, and conducts process-by-process monitoring for collection-preprocessing-analysis of unstructured data.