• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.256-261
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• 2011

Labor productivity is a significant factor related to control time, cost, and quality. Many researchers have developed models to define method of measuring the relationship between productivity and various constraints such as the size of working area, maximum working hours, and the crew composition. Most of the previous research has focused on estimating productivity; however, this research concentrates on estimating labor productivity and developing time and cost data for repetitive concrete pouring activity. In Korea, "Standard Estimating" only contains the average productivity data of the construction industry, and it is difficult to predict the time and cost of any particular project; hence, there are some errors in estimating duration and cost for individual activity and project. To address these issues, this research collects data, measures productivity, and develops time and cost data using labor productivity based on field conditions from the collected data. A probabilistic approach is also proposed to develop data. A case study is performed to validate this process using actual data collected from construction sites and it is possible that the result will be used as the EVMS baseline of cost management and schedule management.

• KEPCO Journal on Electric Power and Energy
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• 제7권1호
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• pp.79-84
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• 2021

The fundamental element to be kept for big data analysis, artificial intelligence technologies and asset management system is a data quality, which could directly affect the entire system reliability. For this reason, the momentum of data cleaning works is recently increased and data cleaning methods have been investigating around the world. In the field of electric power, however, asset data cleaning methods have not been fully determined therefore, automatic cleaning algorithm of asset data for transmission cables has been studied in this paper. Cleaning algorithm is composed of missing data treatment and outlier data one. Rule-based and expert opinion based cleaning methods are converged and utilized for these dirty data.

• 아태비즈니스연구
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• 제13권3호
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• pp.93-118
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• 2022

Purpose - Export marketers may have incentives to attempt real earnings management to avoid low reported earnings. Therefore, we attempted to verify the relationship between cost stickiness and real earnings management in the context of export marketing. Design/methodology/approach - Data were collected from exporters that settle-accounts in December excluding financial businesses listed on the stock market from 2015 to 2019. Multiple regression analysis were employed to analyze the data. Findings - The results showed that there is a negative relationship between cost stickiness and real earnings management. In addition, the results showed that export marketers little attempt to offset the cost inefficiency caused by the increase in expense because of cost stickiness with opportunistic management activities through real earnings management. Rather, as the level of real earnings management appears lower, exporters showing cost stickiness are expected to report management performance based on actual marketing. Furthermore, exporters with a high level of managerial centrality or high managerial overconfidence little attempt to offset cost inefficiency caused by cost stickiness with real earnings management activities. Research implications or Originality - Our study is the first to investigate the quality of earnings information of exporters with cost stickiness. Based on the results, we suggested efficient marketing strategies for exporters.

• Journal of Information Technology Applications and Management
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• 제23권3호
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• pp.25-34
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• 2016

Often we receive misled conclusion in the research if properly variables are not analyzed. In different functional issues of management it is very essential that all the latent and observed variable are properly understood so management decisions will be relevant and effective. The objective of this paper is to investigate the use of different multivariate tools for analyzing in the management research : applied or basic. The sources of data is primary as well as secondary. The primary includes the observation of different research articles of the proceedings of different conferences. And the secondary includes different publications related to multivariate analysis. The study has revealed the reasons of not using such tools of research. The preliminary finding reveals that most of the researches do not use such analytical tools in a comprehensive manner. Carelessness in design while fixing the design aspect is the main reasons of not using appropriate design.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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• pp.397-400
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• 2000

This paper provides a product data representation, a data schema and related operations, for the management of engineering changes. The computer Interpretable format of the representation enables itself to be realized through databases and their applications to a component of a product data management system. Supporting general operations for the engineering changes, it resolves problems of the existing information systems in the nested engineering changes and the simultaneous change application to multiple products. To show the feasibility, a prototype system is implemented based on the representation.

• 산경연구논집
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• 제15권4호
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• pp.27-33
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• 2024

Purpose: Arts and cultural management are a field with unique meaning and significance. This study is uniquely based on the focus of arts and cultural management on social and cultural sustainability sets it apart from other related study fields. Through delving into arts and cultural management, one can quickly gain skills vis-à-vis creativity and innovation in traditional and emerging media platforms. Research design, data and methodology: The current researcher relied on the descriptive research design, arriving at and evaluating the findings. The descriptive research design was the most ideal because of the need to evaluate the various literature sources systematically and later describe them without undue influence. Results: This research's core finding of art and cultural management in the current literature may be split up four findings, such as (1) Art and Cultural Management is Fast Embracing Digital Innovations and Related Elements, (2) Data and Analytics in Art and Cultural Management, (3) Interdisciplinary Nature of Arts and Cultural Management Elements, and (4) Arts and Cultural Management Face Numerous Challenges that Define it and its Future. Conclusions: All in all, based on the literature findings, the present research concludes that It is incumbent upon the various stakeholders, such as the government, to prioritize the arts and cultural management field through adequate budgeting and allocation of money.

• 정보관리학회지
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• 제40권3호
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• pp.77-98
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• 2023

본 연구는 지금까지 제안된 거대언어모델 가운데 LLaMA 및 LLaMA 기반 모델과 같이 연구데이터를 주요 사전학습데이터로 활용한 모델의 데이터 품질에 중점을 두어 현재의 평가 기준을 분석하고 연구데이터의 관점에서 품질 평가 기준을 제안하였다. 이를 위해 데이터 품질 평가 요인 중 유효성, 기능성, 신뢰성을 중심으로 품질 평가를 논의하였으며, 거대언어모델의 특성 및 한계점을 이해하기 위해 LLaMA, Alpaca, Vicuna, ChatGPT 모델을 비교하였다. 현재 광범위하게 활용되는 거대언어모델의 평가 기준을 분석하기 위해 Holistic Evaluation for Language Models를 중심으로 평가 기준을 살펴본 후 한계점을 논의하였다. 이를 바탕으로 본 연구는 연구데이터를 주요 사전학습데이터로 활용한 거대언어모델을 대상으로 한 품질 평가 기준을 제시하고 추후 개발 방향을 논의하였으며, 이는 거대언어모델의 발전 방향을 위한 지식 기반을 제공하는데 의의를 갖는다.

• 디지털산업정보학회논문지
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• 제15권1호
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• pp.1-7
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• 2019

The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.

• 한국국방경영분석학회지
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• 제25권1호
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• pp.87-106
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• 1999

There are many technical datum in related with design, test & evaluation and logistic support which will be exchanged between geographically isolated units and heterogeneous hardwares & softwares in developing and operating the weapon systems. The paper proposes the conceptual database schema to establish configuration management information systems in which these datum can be automatically interchanged, tracked, audited and status-accounted without errors under the various environments. The paper investigates how to identify and classify the data in accordance with document identification, task analysis, system development, logistic support, system test & evaluation and data management. Furthermore, the investigation includes drawing the subject areas and modeling the conceptual database schema to explain the relationships between these datum. Thus, the paper results in the conceptual framework and data models of configuration management information systems, while additional customization efforts be required in applying the models to a specific weapon systems R&D.

• 대한원격탐사학회지
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• 제39권5_2호
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• pp.811-825
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• 2023

데이터 활용을 통한 지능형 행정서비스 정책을 적극적으로 추진하고 있는 정부 기조에 따라, 재난안전관리 분야도 신종·복합재난에 효율적으로 대응하기 위한 데이터 기반의 상황관리시스템을 구축·운영하고 있다. 하지만 재난 상황 발생 시 현장 상황 파악에 어려움이 있고, 방대한 데이터의 표출만으로는 상황판단 및 수습·대응에 필요한 정보를 제공하는 데 여전히 한계가 있다. 본 논문은 재난안전상황실 근무자의 상황관리 업무에 대해 지능정보기술을 활용하여 지능화 및 효율화에 필요한 구체적인 기술 도출을 목적으로 한다. 중앙재난안전상황실 근무자를 대상으로 개별 면담 및 조사를 통해 재난 상황관리 업무 범위와 GIS 통합상황관리시스템의 활용 상황 및 시스템에 구축된 데이터의 용도와 특징을 조사·분석하였다. 그리고 상황관리 업무의 지능화 및 효율화에 필요한 기술을 도출하기 위하여 신속·정확한 현장상황 파악, 데이터 기반 상황판단, 효율적 상황관리 업무 지원을 전략으로 하여 실행과제를 정의하고, analytic hierarchy process (AHP) 분석을 통해 실행과제의 중요도를 평가하여 우선순위를 결정하였다. 그 결과 상황관리 효율화를 위해서는 영상 및 센서 데이터에 대한 수집·분석·관리와 사람이 수행하는 경우 많은 시간이 소요되거나 오류가 있을 수 있는 작업, 즉 상황관련 자료 수집 및 보고서 작업에 지능정보기술 활용이 필요한 것으로 분석되었다. 결론적으로 상황관리 지능화 전략 가운데 중요도가 높은 신속하고 정확한 현장상황의 파악과 효율적 상황관리 업무 지원이 우선적으로 상황관리 지능화 기술 개발 대상으로 추진할 수 있을 것이다.