• Title/Summary/Keyword: Fundamental Factors

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Delay Factor Analysis and Process Enhancement System Development Focusing on Masonry Work (조적공사에서의 작업 지연 요소 도출 및 개선 시스템 제안)

  • Park, Min Ha;Lee, Hye Lin;Ko, Yong-Ho;Han, SeungWoo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2015.05a
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    • pp.119-120
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    • 2015
  • Appropriate management of the finish works in construction project is one of most important activities that must be conducted considering the total duration of the project. Masonry work is a fundamental process that is performed in the preliminary steps of finish works. However, it has been investigated that the analysis of delay factors affecting masonry work has been neglected in the domestic construction site. Therefore, this study deducts delay factors affecting masonry work by literature review and survey on site engineers and labors. This study has been conducted as a preliminary step of developing a construction project interference management system which is expected to suggest objective information for the decision making in construction sites.

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Functional Analysis for P-C-M support System Design in Agricultural Facilities (농촌시설물 P-C-M Support System 범위를 위한 기능 분석)

  • Gim, Mi-Gyeong;Shin, Han-Woo;Kim, Tae-Hui;Kim, Gwang-Hee;Kim, Jun-Hee
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2009.05b
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    • pp.127-130
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    • 2009
  • Recently agricultural productivity innovation projects are increasing all over the farming countries. To reform and improve the productivity of agricultural industry is important factors. This research is to do the functional Analysis for P-C-M support System Design in Agricultural Facilities. By analyzing the for P-C-M support System modules in the agricultural construction process, P-C-M support System factors are derived and defined. The result of this study would widely be used as a fundamental research guide to develop the agricultural P-C-M support System in the agricultural construction process.

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Analysis of Factors Affecting Mode Choice Behavior by Stated Preference(SP) Data in Secondary Cities (SP Data에 의한 지방도시의 교통수단선택 요인분석에 관한 연구)

  • ;山川仁;申運稙
    • Journal of Korean Society of Transportation
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    • v.10 no.3
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    • pp.21-42
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    • 1992
  • As for the travel demand analysis of the past, forcasting has been conducted by the use of revealed preference(RP) informations about actual or observed choices made by individuals. Forcasting method using RP data needs implicit assumptions that there will be no remarkable changes in existing transport conditions. However in case of occuring the great changes in existing conditions or adding a new choice-set of hypothetical options, it is very difficult to predict future travel demand. Fortunately in recent years, especially in the mode choice analysis, it has been perceived that the importance of individual performance data using stated preference(SP) experiments as well as RP data. But the research reports has not been reported sufficiently from models estimated using SP data. Under this background, we analyze the factors affecting the mode choice behavior as a fundamental study against the modelling task with SP choice data. For this analysis, we assumed subway operations in the secondary cities where there are no subway lines until now, and set up a choice-set of hypothetical options based on Experimental Design Method.

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A Study on the Product Factor Verification and Process Management and Safety Using the Text mining (텍스트 마이닝 기법을 통한 제품 인자 검증 및 안전 관리 연구)

  • Jung, Chule-kyou;Lee, Chang-Ho
    • Journal of the Korea Safety Management & Science
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    • v.21 no.3
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    • pp.11-16
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    • 2019
  • The latest issue is the smart factory. In order to implement this smart factory, the most fundamental element is to establish product specifications for factors affecting the product, obtain useful data to analyzed and predicted, and maintain safety. But most manufacturers have many errors. Therefore, the purpose of this study is to verify factors of product through statistical techniques and to study the process control and safety.

Dietary modulation of gut microbiota for the relief of irritable bowel syndrome

  • Kim, Mi-Young;Choi, Sang-Woon
    • Nutrition Research and Practice
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    • v.15 no.4
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    • pp.411-430
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    • 2021
  • Irritable bowel syndrome (IBS) is a frequently diagnosed gastrointestinal (GI) disorder characterized by recurrent abdominal pain, bloating, and changes in the stool form or frequency without any structural changes and overt inflammation. It is not a life-threatening condition but causes a considerable level of discomfort and distress. Among the many pathophysiologic factors, such as altered GI motility, visceral hypersensitivity, and low-grade mucosal inflammation, as well as other immunologic, psychologic, and genetic factors, gut microbiota imbalance (dysbiosis), which is frequently found in IBS, has been highlighted as an etiology of IBS. Dysbiosis may affect gut mucosal homeostasis, immune function, metabolic regulation, and even visceral motor function. As diet is shown to play a fundamental role in the gut microbiota profile, this review discusses the influence of diet on IBS occurring through the modulation of gut microbiota. Based on previous studies, it appears that dietary modulation of the gut microbiota may be effective for the alleviation of IBS symptoms and, also an effective IBS management strategy based on the underlying mechanism; especially because, IBS currently has no specific treatment owing to its uncertain etiology.

Predictive Factors of Self-control in Contactless Online Learners' Self-determination Motivation: Mediated effect of self-efficacy

  • Han, Ji-Woo
    • International journal of advanced smart convergence
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    • v.10 no.2
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    • pp.31-36
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    • 2021
  • This study aims to provide basic data on establishing online learning by identifying the effects of self-efficacy as a medium on factors affecting self-control according to self-determination motivation through contactless online learning due to Covid-19. The research method used SPSS 25 and Sobel test to examine the causal relationship between the spokesmen and 196 middle and high school students in W-city, Gangwon-do. Self-determination motivation has had a significant effect on self-efficacy and self-control, and self-efficacy has been shown to have a significant effect on self-control. Also, Self-efficacy had a partial mediating effect on self-determination motivation affecting self-control. Based on this, fundamental and continuous development of online education programs to promote self-control of online learners is required, and efforts should be made to support learners' capabilities through psychological counseling.

A Case Study on the Conflict Between an Incumbent CEO and a Successor

  • Yunseok Lee;Giseob Yu;Namjae Cho
    • Journal of Information Technology Applications and Management
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    • v.30 no.2
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    • pp.31-44
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    • 2023
  • Family businesses play a significant role in the overall economy of all countries, and the importance and weight of family businesses are increasing in various fields. Many factors are essential for a family business to grow into a long-lived business, that is, a sustainable business, but the most important one is succession. TRUST Lab at Hanyang University studied the importance of factors influencing the succession of the family business from the standpoint of the successor. As a result, it was confirmed that mutual trust is the most crucial factor, and conflict can destroy that trust. Therefore, in this study, we research conflict as a central topic for successful succession, which is the most fundamental reason for family businesses. This study was conducted as a qualitative research case study. By setting criteria suitable for the purpose of the study, we conducted interviews with ten successors who either worked or planned to work in a family-related company. Through this study, conflict management of key players is the most important to achieve a continuous succession of family businesses.

KOREAN REAL ESTATE MARKET AND BOOSTING POLICIES : FOCUSING ON MORTGAGE LOANS

  • Sungjoo Hwang;Moonseo Park;Hyun-Soo Lee
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1015-1022
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    • 2009
  • Currently, Korean real estate market has experienced cooling down of the business because of the global economic crisis which resulted from the subprime mortgage lending practice. In response, the Korean government has enforced various policies at the base of deregulating real estate speculation, such as increasing Loan to value ratio (LTV) in order to stimulate housing demand and supply. However, these policies seemed to result in deep confusion in the Korean housing market. Furthermore, analysis for housing market forecasting, especially international financial crisis on Korean real estate market, has been partial and fragmentary, therefore comprehensive solution and systematical approach is required to analyze the real estate and real estate financial market including causal nexus between market determining factors. In an integrated point of view, applying the system dynamics modeling, the paper aims at proposing Korean Real Estate and Mortgage market dynamics models based on fundamental principles of housing market determined by supply and demand. We also find the impact of deregulation policies focusing on mortgage loan which is the main factors of policies.

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Analysis of Factors Influencing the Construction Business Management Success (건설기업 경영성과의 영향요인 중요도분석)

  • Han, Jin-Taek;Lee, Jae-Seob
    • Korean Journal of Construction Engineering and Management
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    • v.12 no.5
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    • pp.63-70
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    • 2011
  • This research outlined the factors influencing the business management success via analyzing a survey of business principles. The research process has been tested in comparison of both financial factors, which come out of objective data and non-financial factors so relevantly prioritized by combining these factors. In order to specify the factors, a check-list and analyzed essential features of category have done with interviews and surveys. As consequently proceeding, the authors could deduce that non-financial but analytic factors such as business doable, technician workability, compensation and benefits etc. play major roles in construction sector. The outcomes consider a construction business as fundamental human labor job as opposed to a manufacture business. On reasoning necessarily more objective research works to be done as developing this research's outcome, it is meaningful in suggesting the pivotal factors influencing the construction business management. Therefore, this research is expected to guide the direction to induce the improvement of business management to be done by further exemplary researches.

Influential Factor Based Hybrid Recommendation System with Deep Neural Network-Based Data Supplement (심층신경망 기반 데이터 보충과 영향요소 결합을 통한 하이브리드 추천시스템)

  • An, Hyeon-woo;Moon, Nammee
    • Journal of Broadcast Engineering
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    • v.24 no.3
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    • pp.515-526
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    • 2019
  • In the real world, the user's preference for a particular product is determined by many factors besides the quality of the product. The reflection of these external factors was very difficult because of various fundamental problems including lack of data. However, access to external factors has become easier as the infrastructure for public data is opened and the availability of evaluation platforms with diverse and vast amounts of data. In accordance with these changes, this paper proposes a recommendation system structure that can reflect the collectable factors that affect user's preference, and we try to observe the influence of actual influencing factors on preference by applying case. The structure of the proposed system can be divided into a process of selecting and extracting influencing factors, a process of supplementing insufficient data using sentence analysis, and finally a process of combining and merging user's evaluation data and influencing factors. We also propose a validation process that can determine the appropriateness of the setting of the structural variables such as the selection of the influence factors through comparison between the result group of the proposed system and the actual user preference group.