• Title/Summary/Keyword: low level decision

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Innovative value chain creation research according to AI jobs

  • SEO, Dae-Sung;SEO, Byeong-Min
    • The Journal of Industrial Distribution & Business
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    • v.11 no.10
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    • pp.7-16
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    • 2020
  • Purpose: It suggests that making a policy and strategies in a way of AI and its impact of commercialization on economic efficiency, social custom ethics. Research design, data, and methodology: The paper has analyzed the data based on the proposed model when derived as AI vs. FI job, etc. It is very different for each professional evaluation, which is artificial intelligence or robot job. One concept case was selected as a substitute job, with a relatively low level of occupation ability, such as direct labors, easily replaced. By the induction data has resulted in modeling. Results: The paper suggests that AI at high level become something how to make real decisions on ethical value modeling. Through physical simulation with the deduction data, it can be tuned to design and control what has not been solved, from human senses to climate. Conclusion: For the exploiting of new AI decision-making jobs in markets, the deduction data is possible to prove to AI's Decision-making that the percentage who can easily have different leadership as is different for each person. what is generated by some information silos may be applied to occupation societies. The empirical results indicate the deduction data that if AI determines ethical decisions (VC) for that modifications, it may replace future jobs.

A multi-criteria decision-making process for selecting decontamination methods for radioactively contaminated metal components

  • Inhye Hahm ;Daehyun Kim;Ho jin Ryu;Sungyeol Choi
    • Nuclear Engineering and Technology
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    • v.55 no.1
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    • pp.52-62
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    • 2023
  • Various decontamination technologies have been developed for removing contaminated areas in industries. Although it is important to consider parameters such as safety, cost, and time when selecting the decontamination technology, till date their comparative study is missing. Furthermore, different decontamination technologies influence the decontamination effects in different ways. Therefore, this study compares different decontamination techniques for the steam generator using a multicriteria decision-making method. A steam generator is a large device comprising both low- and very low-level waste (LLW, VLLW) and reflects the difference in weights of the standards according to the classification of the waste. For LLW and VLLW decontaminations, chemical oxidizing reduction decontamination (CORD) and decontamination grit blasting were used as the preferred techniques, respectively, considering the purpose of decontamination differs based on the initial state of waste. An expert survey revealed that safety in LLW and waste minimization in VLLW exhibited high preference. This evaluation method can be applied not only to the comparison between each process, but also to the creation of process scenarios. Therefore, determining the decontamination approach using logical decision-making methods may improve the safety and economic feasibility of each step in the decommissioning process and ensure a public acceptance.

The Relationship between the Control Level of Foreign Subsidiaries and Performance in the Chinese Market

  • Kim, Byoung-Goo;Kim, Gyu-Bae
    • Journal of Distribution Science
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    • v.13 no.8
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    • pp.15-25
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    • 2015
  • Purpose - There is a lack of research on how much corporate control is sufficient for effective subsidiary business-related decision making. To address this research gap, this study analyzes the impact of the level of control of a Korean corporation's headquarters on its overseas subsidiary performance. Research design, data, methodology - The study's sample comes from the Overseas Korean Business Directory of KOTRA. A multiple regression analysis empirically confirmed the relationship between the headquarters level of control over the subsidiaries and their performance. Results - The results show that the greater an organization's headquarters control over strategic issues, the greater the subsidiary's non-financial performance. However, quick decision-making through decentralization promotes the rapid selection of successful new products that can provide a competitive advantage. Conclusion - This study shows that the impact of control levels on subsidiary performance depends on the type of control involved. Specifically, while low levels of control over operational issues had a positive (+) influence on subsidiary non-financial performance, high control levels led to improved non-financial performance with regard to strategic issues among the subsidiaries.

Determinants of nuclear power expansion in Indonesia

  • Cho, Inkyung;Oh, Surim;Kim, Soohyeon;Ardin, Fadolly;Heo, Eunnyeong
    • Nuclear Engineering and Technology
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    • v.53 no.1
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    • pp.314-321
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    • 2021
  • As Indonesia is rich in natural resources, nuclear power remains a low priority among energy alternatives. However, Indonesia needs to introduce nuclear power to improve the atmospheric environment and to support sustainable economic growth. This study conducted a two-stage survey of logit-probit and analytic hierarchy process to analyze the perception of Indonesian energy policymakers regarding the introduction of nuclear power, the potential for change, and key decision factors. The analysis confirms that the perception of nuclear power is positive and that the willingness to expand nuclear power can improve if negative conditions, such as underdeveloped technology level, foreign aid and assistance, and safety issues are addressed. In addition, it is confirmed that the policy makers consider political/social and environmental factors to be more important for decision-making. The results of this study can give inplications and be used as a key reference for Indonesia's nuclear power policy

Effects of University-based Science Gifted Education Programs on the Science Career Orientation of Gifted (대학부설 과학영재교육원 프로그램이 영재들의 과학진로지향에 주는 영향 분석)

  • Noh, Hyeonah;Choi, Jaehyeok
    • Journal of Gifted/Talented Education
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    • v.25 no.4
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    • pp.493-509
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    • 2015
  • This study analyzed the effects of university-based science education programs on the gifted's science career orientation. The subject of this study was 74 students who had university-based science gifted education programs on 2014. They took 'Science Career Orientation' tests and questionnaires before and after the program. We had a cluster analysis about pre scores on 'Science Career Orientation' as a variable. We analyzed the satisfaction level and effect of science career decision by groups after the program. As results, they were divided into four groups by cluster analysis. University-based science education program helped the increase of science career orientation in the categories indicating the low scores of the groups. They showed high satisfaction level and positive effects of science career decision, and the programs affecting their science career decision and satisfaction about that were different by groups. Satisfaction level and effects of science career decision are highly correlated.

Multi-Level Segmentation of Infrared Images with Region of Interest Extraction

  • Yeom, Seokwon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.16 no.4
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    • pp.246-253
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    • 2016
  • Infrared (IR) imaging has been researched for various applications such as surveillance. IR radiation has the capability to detect thermal characteristics of objects under low-light conditions. However, automatic segmentation for finding the object of interest would be challenging since the IR detector often provides the low spatial and contrast resolution image without color and texture information. Another hindrance is that the image can be degraded by noise and clutters. This paper proposes multi-level segmentation for extracting regions of interest (ROIs) and objects of interest (OOIs) in the IR scene. Each level of the multi-level segmentation is composed of a k-means clustering algorithm, an expectation-maximization (EM) algorithm, and a decision process. The k-means clustering initializes the parameters of the Gaussian mixture model (GMM), and the EM algorithm estimates those parameters iteratively. During the multi-level segmentation, the area extracted at one level becomes the input to the next level segmentation. Thus, the segmentation is consecutively performed narrowing the area to be processed. The foreground objects are individually extracted from the final ROI windows. In the experiments, the effectiveness of the proposed method is demonstrated using several IR images, in which human subjects are captured at a long distance. The average probability of error is shown to be lower than that obtained from other conventional methods such as Gonzalez, Otsu, k-means, and EM methods.

Evaluating Transport Indices for A Decision on the Level of Introducing Bimodal TRAM System (신교통 바이모달트램 시스템 도입수준 결정을 위한 지표 평가)

  • Choi, Myoung-Hun;Eom, Jin-Ki;Lee, Jun;Sung, Myoung-Joon
    • Proceedings of the KSR Conference
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    • 2010.06a
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    • pp.762-768
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    • 2010
  • The Bimodal Tram being developed in Korea is a new transit system that provides both benefits of rail and bus systems in terms of accessibility and fixed time schedule. The Bimodal Tram is expected to take an important role of transit system in Korea under the national strategy of transportation system such as 'Low Carbon and Green Growth' for the next generation. This study does define the key indices considered for a decision of introducing the Bimodal Tram system and develop a finalized index, BSI(Bimodal Score for Introduction), showing the level of Bimodal Tram system introduced at a city level. The transport/transit system varies depending on cities with respect to demographic characteristics, travel patterns, financial capabilities, etc. This study will help any cities where transport agencies are trying to introduce the Bimodal Tram as a new transit system.

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Influencing Factors in High vs. Low Share Brand Choice

  • Kang, Yong-Soon;Moon, Sang-Kil;Suh, Jae-Beom
    • Management Science and Financial Engineering
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    • v.13 no.1
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    • pp.73-91
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    • 2007
  • We investigate factors that influence the choice of high-share brands(HSBs) vs. low-share brands(LSBs) among various product and consumer characteristics related to brand-share perceptions. Specifically, using 8 product categories varying in terms of purchase decision involvement, we show how the influencing factors vary across the categories. At the general level that cover all the 8 categories, our hierarchical Bayesian regressions analysis shows that factors that favor high-share brands are purchase decision involvement, search goods, experience goods, price-quality relationship, positive network externalities, and price-prestige beliefs. Conversely, consumers who value variety seeking and need for uniqueness favor low-share brands. The effects of these factors, however, vary across product categories. The identification of these characteristics can help brand managers establish a more effective brand-share strategy in such areas as setting an optimal market share goal, extending a brand, and developing ad copy. Furthermore, our consumer segmentation analysis demonstrates the general market has two distinct segments - (1) a segment composed of HSB buyers(86%) and (2) a segment composed of LSB buyers(14%). The two segments are also shown to have different significant factors that explain their brand choice. Our segmentation analysis can help marketers establish a marketing strategy that targets a specific segment of interest.

Comparison of Job Stressors between Managers and Employees in White-Collar Workers of an Electric Company (사무직 직급에 따른 직무스트레스에 미치는 요인)

  • Tak, Jin-Kook;Hong, Hyun-Sook;Lee, Kang-Sook
    • Journal of Preventive Medicine and Public Health
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    • v.35 no.2
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    • pp.160-168
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    • 2002
  • Objectives : This study was intended to investigate the differences of job stressors between managers and low level employees among white-collar workers. Another objective of this study was to examine whether the effects of job stressors on mental health differ between the two groups. Methods : Data was obtained from 204 managers and 258 low level employees who were employed in white-collar jobs. Fourteen job stressors and seven job stress variables were measured. Results : Among the 14 job stressors, role overload, job insecurity, and work-family conflict were higher job stressors for the manager group whereas role conflict, work-aptitude incongruity, participation in decision making, and promotion problems were higher job stressors for the low level of employees. There were no differences in job stress scores between the two groups. However, differences in the effects of job stressors on job stress were found between the two groups. For the manager group, job insecurity, work-aptitude incongruity, and work-family conflict significantly affected in explanation of job stress whereas for the low level employees, role underload, peer satisfaction, and environmental problems significantly explaining the job stress variables. Conclusions : There were significant differences in job stressors between managers and low level employees among white-collar workers. Additionally there were differences in the effects of job stressors on job stress between the two groups.

A study on the Economic Status of Rural Women (농촌여성의 경제적 지위에 관한연구 -경북지역 농촌지도자층 농가를 중심으로-)

  • 조희금
    • Journal of Families and Better Life
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    • v.16 no.4
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    • pp.41-54
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    • 1998
  • The purpose of this study is to analyze the compensation of rurul women receive instead of their physical participation and contribution to their households. I am specifically concerned with the rural women's economic status in relation to their decision making power on household and agricultural economic issues as well as property held in their names. The data of 166 rural men and women in Jyungpook Province are collected by using questionnaires in June 1998. The findings of this study are as follows; 1) Rural women contribute average 53% of their husbands' contribution to agricultural labor which is on average 43.0% of total annual household income. 2) The decision making power on major economic issues remains still very low among rural women. Rural women are still excluded from the possibility of actually owning assets such as property,. Only 189% had assets under their names for assets. 3) The significant factors concerning the rural women's decision making power on econo ic issues are gender-role attitudes of rural women and the husband's judgement of how much their wives contribute to the annual household income. 4) the major factors which influence rural women owning household assets are the decision making power on economical matters contribution to the annual household income and each woman's education level.

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