• Title/Summary/Keyword: Term relations

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The relations of the Long-term care insurance awareness and the aged parent-supporting (장기요양보험제도 안식과 노부모 돌봄과의 관계)

  • Yang, Sook-Mee
    • Journal of Digital Convergence
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    • v.9 no.5
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    • pp.45-54
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    • 2011
  • The purpose of this research was to examine the whether to recognition of the long-term care insurance have affected on aged parent-supporting. The research method was used self-report questionnaire to 331 persons who was supported their parents. And I used the Frequency, simple linear regression as an analysis methods. The result demonstrated that Educational background, the emotional intimacy of the subjects, and the recognition degree of the long-term care service have significant influence on their physically parent supporting consciousness. The researchers suggest the need of family support system based on the result for decrease the parent-supporting burden in middle age generation.

Caregiver Burden in Caring for Elders Before and After Long-term Care Service in Korea (장기요양서비스 전.후 가족의 수발 부담감에 영향을 미치는 요인)

  • Lee, Hung-Sa
    • Journal of Korean Academy of Nursing
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    • v.42 no.2
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    • pp.236-247
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    • 2012
  • Purpose: Purposes of this study were: evaluation of family burden of caring for elders who receive long term care services, and examination of differences in burden before and after the introduction of long term care service in Korea. Methods: Data were collected by questionnaires from 416 caregivers of elders who were registered with the Long Term Care Insurance Corporation in six cities. Data were collected in September, 2010 and analyzed using descriptive statistics, paired t-test, and ANOVA with the Scheffe test, and stepwise multiple regression. Results: Family burden decreased significantly after longterm care service was initiated. Subjective burden decreased from 2.93 to 2.69 (t=11.78, $p$<.001), and objective burden, from 3.40 to 3.10 (t=12.73, $p$<.001). Stepwise multiple regression analysis revealed that factors affecting subjective burden were family relations (F=13.60, $p$=.003), age (F=5.47, $p$=.019), job (F=6.98, $p$=.008), and education (F=4.59, $p$=.032), and that factors affecting objective burden were living together (F=17.66, $p$<.001), job (F=13.34, $p$=.003), monthly income (F=6.61, $p$=.010), and type of service (F=6.62, $p$=.010). Conclusion: The results of this first study to investigate caregiver burden after the Korean Long-term Care Insurance System was begun provide positive information for the development of strategies to decrease family burden in long term care.

A History of Researches of Jumping Problems in Elliptic Equations

  • Park, Q-Heung;Tacksun Jung
    • Journal for History of Mathematics
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    • v.15 no.3
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    • pp.83-93
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    • 2002
  • We investigate a history of reseahches of a nonlinear elliptic equation with jumping nonlinearity, under Dirichlet boundary condition. The investigation will be focussed on the researches by topological methods. We also add recent researches, relations between multiplicity of solutions and source terms of tile equation when the nonlinearity crosses two eigenvalues and the source term is generated by three eigenfunctions.

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General Relativity and Modern Cosmology (일반상대성이론과 현대우주론)

  • Hwang, Jai-Chan
    • The Bulletin of The Korean Astronomical Society
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    • v.40 no.1
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    • pp.57.5-58
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    • 2015
  • We describe relations between modern cosmology and general relativity in the historical context. We reveal some ironies imbedded in Einstein's final correction of his gravitational field equation in the context of cosmology in 1917 which has apparently opened a new era of modern physical cosmology. The ugly (according to Einstein) correction term was introduced only to build a static cosmology which turns out to be in flat contradiction with observation. Somehow, however, it is the correction term which has saved the modern cosmology from the genuine creativity of nature continuously revealed by astronomical observations. Whether the present precision cosmology is also a correct one is often ignored by the practitioners but still a pressing open question left for future theoretical and observational pursuits.

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A study on the solutions of the 2nd order linear ordinary differential equations using fourier series (Fourier급수를 응용한 이계 선형 상미분방정식의 해석에 관한 연구)

  • 왕지석;김기준;이영호
    • Journal of Advanced Marine Engineering and Technology
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    • v.8 no.1
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    • pp.100-111
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    • 1984
  • The methods solving the 2nd order linear ordinary differential equations of the form y"+H(x)y'+G(x)y=P(x) using Fourier series are presented in this paper. These methods are applied to the differential equations of which the exact solutions are known, and the solutions by Fourier series are compared with the exact solutions. The main results obtained in these studies are summarized as follows; 1) The product and the quotient of two functions expressed in Fourier series can be expressed also in Fourier series and the relations between the Fourier coefficients of the series are obtained by multiplying term by term. 2) If the solution of the 2nd order lindar ordinary differential equation exists in a certain interval, the solution can be obtained using Fourier series and can be expressed in Fourier series. 3) The absolute errors of Fourier series solutions are generally less in the center of the interval than in the end of the interval. 4) The more terms are considered in Fourier series solutions, the less the absolute errors.rors.

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The Effect of Creation of Shared Value Activities of Professional Volleyball Team on the Team Trust and the Community Identification

  • Son, WonHo
    • International journal of advanced smart convergence
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    • v.9 no.3
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    • pp.153-160
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    • 2020
  • This research aims to provide empirical basic data for the development of local communities through the establishment of efficient strategies for the formation of positive relations between the club and the region through the Creation of Shared Value (CSV) activities. We come up with the results of this study to show that CSV, social problem orientation, and core competency utilization affect the team trust of local community, and that CSV, long-term orientation, social problem orientation and core competency utilization affect community identification. The research should enhance the value of professional sports teams that promote their own path to self-sustaining as a single independent business area, and identify their trust through CSV activities for co-prosperity with their local communities, and thus their relationship with the community. Therefore, various strategies and efforts will ultimately increase the team trust and community identity of local residents in professional volleyball teams, while at the same time gaining positive effects on professional volleyball teams.

A study on the short-term load forecasting expert system considering the load variations due to the change in temperature (기온변화에 의한 수요변동을 고려한 단기 전력수요예측 전문가시스템의 연구)

  • Kim, Kwang-Ho;Lee, Chul-Heui
    • Journal of Industrial Technology
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    • v.15
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    • pp.187-193
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    • 1995
  • In this paper, a short-term load forecasting expert system considering the load variation due to the change in temperature is presented. The change in temperature is an important load variation factor that varies the normal load pattern. The conventional load forecasting methods by artificial neural networks have used the technique where the temperature variables were included in the input neurons of artificial neural networks. However, simply adding the input units of temperature data may make the forecasting accuracy worse, since the accuracy of the load forecasting in this method depends on the accuracy of weather forecasting. In this paper, the fuzzy expert system that modifies the forecasted load using fuzzy rules representing the relations of load and temperature is presented and compared with a conventional load forecasting technique. In the test case of 1991, the proposed model provided a more accurate forecast than the conventional technique.

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Combination resonances of imperfect SSFG cylindrical shells rested on viscoelastic foundations

  • Foroutan, Kamran;Ahmadi, Habib
    • Structural Engineering and Mechanics
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    • v.75 no.1
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    • pp.87-100
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    • 2020
  • The present paper investigates the combination resonance behavior of imperfect spiral stiffened functionally graded (SSFG) cylindrical shells with internal and external functionally graded stiffeners under two-term large amplitude excitations. The structure is embedded within a generalized nonlinear viscoelastic foundation, which is composed of a two-parameter Winkler-Pasternak foundation augmented by a Kelvin-Voigt viscoelastic model with a nonlinear cubic stiffness, to account for the vibration hardening/softening phenomena and damping considerations. With regard to classical plate theory of shells, von-Kármán equation and Hook law, the relations of stress-strain are derived for shell and stiffeners. The spiral stiffeners of the cylindrical shell are modeled according to the smeared stiffener technique. According to the Galerkin method, the discretized motion equation is obtained. The combination resonance is obtained by using the multiple scales method. Finally, the influences of the stiffeners angles, foundation type, the nonlinear elastic foundation coefficients, material distribution, and excitation amplitude on the system resonances are investigated comprehensively.

DG-based SPO tuple recognition using self-attention M-Bi-LSTM

  • Jung, Joon-young
    • ETRI Journal
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    • v.44 no.3
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    • pp.438-449
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    • 2022
  • This study proposes a dependency grammar-based self-attention multilayered bidirectional long short-term memory (DG-M-Bi-LSTM) model for subject-predicate-object (SPO) tuple recognition from natural language (NL) sentences. To add recent knowledge to the knowledge base autonomously, it is essential to extract knowledge from numerous NL data. Therefore, this study proposes a high-accuracy SPO tuple recognition model that requires a small amount of learning data to extract knowledge from NL sentences. The accuracy of SPO tuple recognition using DG-M-Bi-LSTM is compared with that using NL-based self-attention multilayered bidirectional LSTM, DG-based bidirectional encoder representations from transformers (BERT), and NL-based BERT to evaluate its effectiveness. The DG-M-Bi-LSTM model achieves the best results in terms of recognition accuracy for extracting SPO tuples from NL sentences even if it has fewer deep neural network (DNN) parameters than BERT. In particular, its accuracy is better than that of BERT when the learning data are limited. Additionally, its pretrained DNN parameters can be applied to other domains because it learns the structural relations in NL sentences.