• Title/Summary/Keyword: 업무열의

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Forecasting Daily Demand of Domestic City Gas with Selective Sampling (선별적 샘플링을 이용한 국내 도시가스 일별 수요예측 절차 개발)

  • Lee, Geun-Cheol;Han, Jung-Hee
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.10
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    • pp.6860-6868
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    • 2015
  • In this study, we consider a problem of forecasting daily city gas demand of Korea. Forecasting daily gas demand is a daily routine for gas provider, and gas demand needs to be forecasted accurately in order to guarantee secure gas supply. In this study, we analyze the time series of city gas demand in several ways. Data analysis shows that primary factors affecting the city gas demand include the demand of previous day, temperature, day of week, and so on. Incorporating these factors, we developed a multiple linear regression model. Also, we devised a sampling procedure that selectively collects the past data considering the characteristics of the city gas demand. Test results on real data exhibit that the MAPE (Mean Absolute Percentage Error) obtained by the proposed method is about 2.22%, which amounts to 7% of the relative improvement ratio when compared with the existing method in the literature.

Work-related Risk Factors Associated with Upper Extremity Symptoms among Construction Workers (건설업 종사자의 상지 근골격계 증상에 영향을 미치는 업무관련 요인)

  • Cho, Hyungyoel;Park, Jong;Lee, Chulgab
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.28 no.2
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    • pp.211-221
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    • 2018
  • Objectives: The purpose of this study was to identify work-related risk factors associated with upper extremity symptoms among construction workers using the fourth Korean Working Condition Survey(KWCS). Methods: Subjects were 2,724 construction workers selected from 50,007 respondents in the 2014 KWCS. The presence or absence of upper extremity symptoms and work-related risk factors, including individual, physical, and psychosocial factors, were used as variables. A multiple logistic regression analysis was performed in order to evaluate the relationship of the upper extremity symptoms with work-related risk factors. Results: Upper extremity symptoms were significantly associated with: employment type(OR: 1.57, 95% CI: 1.18~2.09); job satisfaction(OR: 2.06, 95% CI: 1.33~3.18); verbal abuse(OR: 2.06, 95% CI: 1.33~3.18); tiring or painful posture(OR: 2.33, 95% CI: 1.73~3.15); carrying or moving heavy loads(OR: 1.68, 95% CI: 1.23~2.24); repetitive hand or arm movement(OR: 1.42, 95% CI: 1.06~1.91) Conclusions: In order to prevent the upper extremity musculoskeletal disease in the construction industry, it is necessary to stabilize employment, enhance job satisfaction, and eliminate violence in the workplace and improve physical work environment.

The Process Model for Project Management of Design-Build System and Constitution of Database (설계시공일괄 방식의 건축 프로젝트 관리를 위한 프로세스 모델 및 데이터베이스 구축)

  • Chun Jae-youl
    • Korean Journal of Construction Engineering and Management
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    • v.6 no.1 s.23
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    • pp.109-116
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    • 2005
  • Recently, the design-build delivery system is being generalized in domestic construction project. The design-build system is becoming an increasingly preferable alternative to design-bid-build delivering method. In design-build project, however, a large construction company and design firm make up consortium as a design-build contractor rather din single company performs design and construction work. In this case, usually the construction companies take a leading role but due to their lack of managerial t31ow-how in the design-build system, they could miss the merits of this approach. Therefore, it is necessary to investigate throughly the function and information flows all over the design-build project. This research suggests a process model and database in the whole phase of design-build project. This process model and database system will also support to improve the consistency of functional process and minimize incoherent activities of the design-build projects.

Research on Success Factors of Enterprise Architecture(ITA/EA) through Policy Standardization (엔터프라이즈 아키텍쳐(ITA/EA)도입에 따른 정책 표준화를 통한 성공적 요인에 관한 연구)

  • Lee, Jun-Yerl;Jung, Byeong-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.1
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    • pp.273-281
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    • 2008
  • In a knowledge-information based society, effective management across IT industries, value of information and interoperation are more important than eyer before. Therefore, ITA/EA which helps to plan and manage IT systematically and effectively, was enacted and announced in 2005 and has been considered as an innovative IT management approach. Unfortunately, however, new standardization of ITA/EA has not fully discussed yet. How to successfully apply EA/ITA to IT is considered as the most urgent challenge and this study aims to find out the most effective method. To this end, it was emphasized that training systems for specialized experts must be operated systematically through 'standardization of terms and tasks' and 'standardization of manpower training' and certification of specialty must be newly established. In addition. it was strongly demanded that dual structure caused by mixed concepts between ITA and EA must be eliminated. At the same time. a new model for domestic standardization was suggested so that not only ITA/EA can be recognized as IT engineering but also professional engineers can accept ITA/EA as a scientific field. In summary, this study is intended to propose how to improve information management efficiency through ITA/EA.

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A Spatial Data Mining and Geographical Customer Relationship Management System (공간 데이터마이닝을 이용한 고객 관리시스템)

  • Lee, Sang-Moon;Seo, Jeong-Min
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.6
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    • pp.121-128
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    • 2010
  • Spatial data mining has been developed to support spatial association knowledge between spatial features or its non-spatial attributes for an application areas. At the present time, a number of researchers attempt to the data mining techniques apply to the several analysis areas, for examples, civil engineering, environmental, agricultural areas. Despite the efforts that, until such time as not existed practical systems for the gCRMDMs. gCRMDMs is merged with very large spatial database and CRM information system. Also, it is discovery the association rule for the predictions of customer's shopping pattern informations in a huge database consisted with spatial and non-spatial dataset. For this goal, gCRMDMs need spatial data mining techniques. But, nowadays, in a most case not exist utilizable model for the gCRMDMs. Therefore, in this paper, we proposed a practical gCRMDMs model to support a customer, store, street, building and geographical suited to the trade area.

Communication Awareness Survey and Design Communication Method Using QFD (설계 커뮤니케이션 인식조사 및 QFD를 이용한 설계 커뮤니케이션 방안)

  • Bae, Yujung;Kwon, Won;Cho, Jaeho;Choi, Byungsun;Chun, Jaeyoul
    • Korean Journal of Construction Engineering and Management
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    • v.18 no.5
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    • pp.50-58
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    • 2017
  • The efficient communication process is essential to guarantee the completeness of design and secure the quality to meet the contractor's needs. However, using the existing communication methods based on the design and documents, it is difficult to effectively understand the drawings and specifications that are very complicated, and sufficient technical experiences would be required. Ineffective and inefficient communication among users, designers and project participants during the design process would raise the possibility of functional interferences of the object, induce conflicts, cause a design change, and accordingly incur losses of the project in terms of cost and time. The purpose of this study is to suggest improvement direction of communication in accordance with the requirements, by investigating the present state and the project participants' understanding of design communication. And also, it presents the application model of QFD that the project participants could share and define, and feedback the requirements as well as conducting analysis of improvement factors based on the survey.

How to Construct Spatio-Temporal Ontologies for U-City Contents (유시티 콘텐츠를 위한 시공간 온톨로지 구축 방법)

  • Nah, Bang-Hyun;Kwon, Chang-Hee;Park, Rae-Hoon;Yoon, Hyung-Goog
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.7
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    • pp.2632-2637
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    • 2010
  • Information in UbiComp Environment are transformed to knowledge by relationship in a spatio-temporal location, and then became intelligent contents with task procedures or application models. The entities in U-City has lots of relationships. It is important in U-City contents to provide intelligent and personalized response to meet the intention of users. We extend the spatial ontology model of SPIRIT to other domain. Domain ontologies are consist of type, relation, and instance ontologies. When the relationship model by shared concepts are not defined, we used the spatio-temporal events to find relationships. So we proposed the methods to recommend semantically related terms, not syntactically.

A Study on Empirical Analysis Improvement in Special job of Womanpower performing ablity - Focusing on the woman soldier·police woman survey - (특정직 여성인력의 직무수행능력 향상 방안에 관한 실증 분석 - 여군·여경 설문조사를 중심으로 -)

  • Choi, Mi-Ae;Lee, Sang-Yeol
    • Korean Security Journal
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    • no.43
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    • pp.147-175
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    • 2015
  • Woman officers with the power of the future is likely to be more female officers can increase castration. These changes to the times in order to meet the recent Lady, chosen to increase the Police and military, and female employees in the movement to operate inside the police organization to efficiently is increasing. This study with regard to women soldier and police women a typical one of speecial job of womanpower, there is the purpose of study to suggest the direction to improve the job performing ability through the careful anlysis. On account of the minority in number of women soldier and police women in the group which consist of many men, there are lots of difficulties on duty. In order to keep up with the times for the expansion of opportunities for excellent womanpower, army and police should lead to stronger efforts for them. Besides, in comparison with the general work of womanpower, woman soldier and police woman have a special duty assignments in the groups wihich have a specific predisposition. In conclusion, it is necessary to have lots of politicasl support and cosideration.

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Development and Evaluation of Drought Outlook method Using Climate Prediction with Bayesian method (기후예측정보와 베이지안 기법을 활용한 가뭄전망기술 개발 및 평가)

  • Son, Kyung-Hwan;Bae, Deg-Hyo
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.22-22
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    • 2015
  • 가뭄은 적시에 경보해야 하는 홍수와 달리 진행속도가 느리고 시간적으로 대처할 여유가 있어 진행중일지라도 미리 감지만 한다면 그 피해를 최소화할 수 있다. 이로 인해 미국 등 수문기상 선진국에서는 수문기상 장기예보자료로부터 가뭄전망정보 생산기술을 개발하였으며, 특히 가뭄전망의 정확도 향상을 위해 여러 통계적 보정기법을 적용하고 있다. 국내의 경우 기상청에서 가뭄전망을 목적으로 2011년에 수치예보모델을 이용하여 가뭄전망정보를 생산한바 있으나, 전망정보의 불확실성 문제로 가뭄예보에 활용하는데 한계가 있어 이를 개선할 수 있는 기술개발이 요구되는 실정이다. 본 연구에서는 기후예측자료를 이용하여 가뭄전망정보 생산기술을 개발하고 정확도 개선을 위해 베이지안 기법을 연계하였다. GloSea5 (Global Seasonal forecast model 5) 장기예보자료를 이용하였으며, 베이지안 기법을 통해 과거 관측자료에 대한 사전분포, 모델의 전망정보로부터 우도함수를 유도하여 최종 사후분포를 추정하였다. 베이지안 기법 적용 전 후에 따른 가뭄지수를 산정하였다. 관측자료 기반의 가뭄지수와의 비교분석을 통해 선행기간 및 계절별 가뭄예측 성능을 평가하였으며, 실제 가뭄기간 동안에 가뭄의 재현성을 지역별로 분석하였다. 장기예보자료만을 활용한 기존 가뭄전망에서는 관측 자료가 포함된 1개월 전망에서도 불확실성이 매우 높았지만 베이지안 기법 적용으로 가뭄전망의 정확도가 크게 개선되었다. 특히, 1, 2개월 전망의 시계열 가뭄지수가 관측기반의 가뭄지수의 거동과 매우 유사하게 나타났으며, 지역별로도 베이지안 기법 적용시 실제 가뭄피해 상황을 적절히 재현하는 것으로 나타났다. 국내 가뭄예보에 있어 기후예측정보를 단순활용하기 보다는 베이지안과 같은 통계적 보정기법을 이용하여 가뭄전망정보를 생산하는 것이 바람직하며, 본 연구에서는 가뭄예보업무에 활용될 수 있도록 베이지안 기법에 대한 검증 및 평가를 지속적으로 수행할 계획이다.

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Port Volume Anomaly Detection Using Confidence Interval Estimation Based on Time Series Analysis (시계열 분석 기반 신뢰구간 추정을 활용한 항만 물동량 이상감지 방안)

  • Ha, Jun-Su;Na, Joon-Ho;Cho, Kwang-Hee;Ha, Hun-Koo
    • Journal of Korea Port Economic Association
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    • v.37 no.1
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    • pp.179-196
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    • 2021
  • Port congestion rate at Busan Port has increased for three years. Port congestion causes container reconditioning, which increases the dockyard labor's work intensity and ship owner's waiting time. If congestion is prolonged, it can cause a drop in port service levels. Therefore, this study proposed an anomaly detection method using ARIMA(Autoregressive Integrated Moving Average) model with the daily volume data from 2013 to 2020. Most of the research that predicts port volume is mainly focusing on long-term forecasting. Furthermore, studies suggesting methods to utilize demand forecasting in terms of port operations are hard to find. Therefore, this study proposes a way to use daily demand forecasting for port anomaly detection to solve the congestion problem at Busan port.