• Title/Summary/Keyword: Dependency Management

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The Unconscious Desire and the Conflict between Mother and Daughter -A Convergence In-depth Psychological Analysis of the Film, 'DAUGHTER'- (모녀의 무의식적 욕망과 갈등 -영화 '다우더'의 융복합 심층심리학적 분석-)

  • Lee, Chang-Don;Lee, Hyun-Sim
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.437-447
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    • 2016
  • This study is intended to analyze the conflict between the mother and the daughter revealed in the film, 'Daughter' and tries to suggest the therapeutic counseling techniques in the integrated perspective. It used a convergence in-depth psychological method. After deriving the unconscious conflicts of main characters through several film reviews, it was found that at the unconscious level true self and the false self, the ego ideal and the super ego, the individuation and the dependency are in mutual struggle. For Therapeutic counselling, the most important thing in the initial stage of the counselling is the experience of authenticity. The counsellor himself or herself should establish the right life values and stimulate the ego-ideal and strengthen the drive of true self. Also the counsellor should be aware of the dangers of the religious behavior as the transitional phenomenon. In the final stage, the counselor expects the client to continue to make efforts to change with the hope for the well-being.

Rapid Characterization and Prediction of Biomass Properties via Statistical Techniques

  • Cho, Hyun-Woo
    • Clean Technology
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    • v.18 no.3
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    • pp.265-271
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    • 2012
  • The use of renewable energies has been required to diminish the dependency on fossil fuels. As one of clean energy sources biomass has been extensively studied because various biomass resources necessitated rapid characterization of their chemical and physical properties in an on-line or real-time basis. For such an analysis near-infrared (NIR) spectroscopy has been successfully applied because of its non-invasive and informative characteristics. In this work, the applicability of nonlinear chemometric techniques based on biomass near infrared (NIR) data is evaluated for the rapid prediction of ash/char contents in different types of biomass. The prediction results of various prediction models and the effect of using preprocessing methods for NIR data are compared using six types of biomass NIR data. The results showed that nonlinear prediction models yielded better prediction performance than linear ones. It also turned out that by adopting the use of proper preprocessing methods the performance of prediction of biomass properties improved.

A Study on the User Experience through Analysis of Earphones Use Behavior of Generation Z (Z세대의 이어폰 사용 행태 분석을 통한 사용자 경험 연구)

  • Koo, Eun-Seo;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.18 no.3
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    • pp.317-323
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    • 2020
  • This research is based on product development that improves user experience such as design and function by analyzing the usage behavior of elements experienced by generation Z as customers and users in the process leading to disposal of earphones even before purchase. The behavior of earphones in Generation Z was analyzed through in-depth interview and surveys of the customer experience and user experience of earphones. The results of the study were common or characteristic. They are user experience based on brand dependency, sharing experiences and seeking simplified design and convenience, which is related with the lifestyle of the generation Z. This study is expected to be a fundamental study of product research and marketing strategies that will take advantage of the characteristics of Generation Z, who will be the main player of the market in the future.

Activities of Daily Living and Health-Related Quality of Life (HRQoL) of Centenarians in Busan (부산지역 백세인의 일상활동 수행능력과 건강관련 삶의 질)

  • Park, Hyoung-Sook;Kim, Dong-Hee;Kim, Yun-Jin;Son, Yong-Jin;Lee, Jeong-Gyu;Lim, Jie-Hyang
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.16 no.3
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    • pp.316-324
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    • 2009
  • Purpose: The aim of the study was to identify the relationships among age, activities of daily living and health-related quality of life (HRQoL) for centenarians in Busan. Methods: Forty-nine centenarians (2 males and 47 females) participated in the study, done from April to July, 2006. Pace-to-face interviews were used to collect data. Activities of daily living were measured using K-ADL, K-IADL and health-related quality of life, using the Short Form Health Survey (SF-36). Results: Over 50% of the centenarians reported independence for six-items but not for bathing. With regard to type of dependency, 77.6% were independent in transferring, 71.4%, in using the toilet, 67.3%, in feeding and in continence and 57.1% in dressing but just 24.5% were independent in bathing. Age was significantly associated with K-IADL (r= -.303, p= .03). The centenarians were more impaired in physical health components compared to mental health components for health-related quality of life. Conclusion: These results may contribute to a better understanding of activities of daily living and health-related quality of life of centenarians. The findings are relevant to health professionals, in particular professionals who are developing wellness programs to optimize health-related quality of life and functional status for the extremely old age population.

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A Study on the Smoking Condition and Smoking Related Knowledge and Attitudes in White Color Workers (사업장 근로자의 흡연실태, 흡연지식 및 흡연태도에 관한 연구)

  • Park, In-hyae;Ryu, Hyun-sook;Cho, In-sook;Park, Young-ju
    • Korean Journal of Occupational Health Nursing
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    • v.14 no.1
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    • pp.24-33
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    • 2005
  • Purpose: This cross-sectional study was to find out smoking condition, smoking related knowledge and attitudes of white color workers to provide baseline data which were to develope smoking cessation programs. Methods: The subjects were 303 workers in G-city. Data were collected from July 1st to Aug. 31st 2003 by self-reported questionnaire. Data were analyzed by descriptive statistics, t-test, ANOVA, and Duncan's multiple comparison test, using SAS-pc 8.0 version. Results: Average age of the laborers was 32.3 years, and 50.7% of male were smoking currently, and 2.4% of female were so. Starting age of smokers was average 20.1 and smoking period was average 12.4 years. Majority of smokers smoked more than one pack of cigarettes in a day. Average points of nicotine dependency was 3.9 out of 10 and 12.5% were more than 7. Those who wanted to 'quit smoking very soon' and 'decided to quit smoking right now' were 29.1%. But those who got any helps and advices from professional experts in smoking cessation were 6.4%. 83.5% of the smokers had tried to quit smoking but failed due to their stress(44.6%), lack of will(36.6%) etc. Laborers knowledge related smoking score were average 11points out of 15, and attitudes were average 75.7points out of 125. Smokers showed significantly low knowledge(p=.012), and more allowing attitudes(p=.001). Conclusions: The smoking cessation programs for the workers should consist of stress management skills, and strengthened willingness. And should be run the program for those who want to 'quit smoking very soon' and 'decided to quit smoking right now' first of all.

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Relationship between declining oil use and electrification (탈석유화와 전기화의 관계 분석)

  • Choi, Hyo-Yeon;Kim, Sun-Young;Yoo, Seung-Hoon
    • Journal of Energy Engineering
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    • v.23 no.2
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    • pp.119-124
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    • 2014
  • After the oil crisis in 1970s, many countries have tried to reduce oil dependency. Especially, in Korea, rapid declining oil consumption has speedily brought to electrification and a surge in electricity demand. This paper attempts to estimate the relationship between declining oil use and electrification in Korea using OECD panel data covering from 1985 to 2011. To this end, random effect model and fixed effect model are employed. The increase in the ratio of energy oil to total energy consumption by 10%p leads to reduce the electricity demand by about 15%. This result can be useful information to cope with the recent crisis of electric power. In addition, industrial sector is ranked in forth the ratio of industrial electricity use to total electricity use according to the result of comparative analysis of electricity consumption by use in OECD countries. Therefore, industrial sector should be treated as the main target of demand-side management policies for electricity.

Development and Evaluation of a Nutrition Education Program on Sodium Reduction in Elementary School Students (초등학생 대상 싱겁게 먹기 영양교육 프로그램의 개발 및 효과평가)

  • Jung, Yun-Young;Shin, Eun-Kyung;Lee, Hye-Jin;Lee, Nan-Hee;Chun, Byung-Yeol;Ann, Moon-Young;Lee, Yeon-Kyung
    • Korean Journal of Community Nutrition
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    • v.14 no.6
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    • pp.746-755
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    • 2009
  • This study was to develop and evaluate a nutrition education program to reduce dietary sodium. The school children (218 boys, 226 girls), from 8 elementary schools in the city of Daegu, Korea, were involved in this study. This research was based on the data from two groups of elementary school children, the "education" group (n = 240), and "no-education" group (n = 204). Educational media and programs were developed to educate the education group for four weeks and were presented on the web (www.saltdown.com). After education, the preference for a non-salty taste in the education group increased 10%, compared with those who preferred a non-salty taste before education. There was a significant change away from a preference for a salty taste and a rise in the mean score for nutrition knowledge and dietary attitude in the education group compared to the no-education group (p < 0.05). This study indicates that school children can reduce their dependency on preference for a salty taste and change their high-salt dietary behavior after the education.

Numerical Study of Agitation Performance in the Mud Tank of On-shore Drilling (육상 시추용 머드탱크의 교반성능에 대한 수치해석적 연구)

  • Hwang, Jong-Duck;Ku, Hak-Keun
    • Journal of the Korean Society of Industry Convergence
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    • v.23 no.4_2
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    • pp.617-626
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    • 2020
  • The drilling mud is essentially used in oil and gas development. There are several roles of using the drilling mud, such as cleaning the bottomhole, cooling and lubricating the drill bit and string, transporting the cuttings to the surface, keeping and adjusting the wellbore pressure, and preventing the collapse of the wellbore. The fragments from rocks and micro-sized bubbles generated by the high pressure are mixed in the drilling mud. The systems to separate those mixtures and to keep the uniformly maintained quality of drilling mud are required. In this study, the simulation is conducted to verify the performance of the mud tank's agitation capacity. The primary role of the mud tank is the mixing of mud at the surface with controlling the mud condition. The container type is chosen as a mud tank pursuing efficient transport and better management of equipment. The single- and two-phase simulations about the agitation in the mud tank are performed to analyze and identify the inner flow behavior. The convergence of results is obtained for the vertical- and axis-direction velocity vector fields based on the grid-dependency tests. The mixing time analysis depending on the multiphase flow conditions indicates that the utilization of a two-stepped impeller with a smaller size provides less time for mixing. This study's results are expected to be utilized as the preliminary data to develop the mixing and integrating equipment of the onshore drilling mud system.

Development of Demand Forecasting Algorithm in Smart Factory using Hybrid-Time Series Models (Hybrid 시계열 모델을 활용한 스마트 공장 내 수요예측 알고리즘 개발)

  • Kim, Myungsoo;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.5
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    • pp.187-194
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    • 2019
  • Traditional demand forecasting methods are difficult to meet the needs of companies due to rapid changes in the market and the diversification of individual consumer needs. In a diversified production environment, the right demand forecast is an important factor for smooth yield management. Many of the existing predictive models commonly used in industry today are limited in function by little. The proposed model is designed to overcome these limitations, taking into account the part where each model performs better individually. In this paper, variables are extracted through Gray Relational analysis suitable for dynamic process analysis, and statistically predicted data is generated that includes characteristics of historical demand data produced through ARIMA forecasts. In combination with the LSTM model, demand forecasts can then be calculated by reflecting the many factors that affect demand forecast through an architecture that is structured to avoid the long-term dependency problems that the neural network model has.

The Relationship between Korea Agricultural Productions and Greenhouse Gas Emissions Using Environmental Kuznets Curve (환경쿠즈네츠곡선을 이용한 한국의 농업 생산과 온실가스 배출의 관계 분석)

  • Kang, Hyun-Soo
    • Asia-Pacific Journal of Business
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    • v.12 no.1
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    • pp.209-223
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    • 2021
  • Purpose - The purpose of this study was to investigate the relationship between Korea agricultural productions and Greenhouse Gas (GHG) emissions based on Environmental Kuznets Curve (EKC) hypothesis. Design/methodology/approach - This study utilized time series data of economic growth, greenhouse gas, agricultural productions, trade dependency, and energy usages. In order to econometric procedure of EKC hypothesis, this study utilized unit root test and cointegration test to check staionarity of each variable and also adopted Vector Error Correction Model (VECM) and Ordinary Least Square (OLS) to analyze the short and long run relationships. Findings - In the short run, greenhouse gas emissions resulting from economic growth show an inverse U-shape relationship, and an increase in agricultural production and energy consumption led to increase in greenhouse gas emission. In the long run, total GHG emissions and CO2 emissions show an N-shaped relationship with economic growth, and an increase in agricultural production has resulted in a decrease in total GHG and CO2 emissions. However, methane (CH4) and nitrous oxide (N2O) emissions showed an inverse U-shape relationship with economic growth, which indicated the environment and production process of agricultural production. Research implications or Originality - Korea agricultural production has different effects on the GHG emission sources, and in particular, methane (CH4) and nitrous oxide (N2O) emissions show to increase as the agricultural production expansions, so policy or technological development in related sector is required. Especially, in the context of the 2030 GHG reduction road-map, if GHG-related reduction technologies or policies are spread, national GHG emission reduction targets can be achieved and this is possible to predict the decline in production in the sector and damage to the related industries.