• East Asian Economic Review
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• 제18권1호
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• pp.3-27
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• 2014

This paper examines the effects of financial crises on the long memory volatility dependency of daily exchange returns focusing on the Asian crisis in 97-98 and the Global crisis in 08-09. By using the daily KRW-USD and JPY-USD exchange rates which have different trading regions and volumes, this paper first applies both the parametric FIGARCH model and the semi-parametric Local Whittle method to estimate the long memory volatility dependency of the daily returns and the temporally aggregated returns of the two exchange rates. Then it compares the effects of the two financial crises on the long memory volatility dependency of the daily returns. The estimation results reflect that the long memory volatility dependency of the KRW-USD is generally greater than that of the JPY-USD returns and the long memory dependency of the two returns appears to be invariant to temporal aggregation. And, the two financial crises appear to affect the volatility dynamics of all the returns by inducing greater long memory dependency in the volatility process of the exchange returns, but the degree of the effects of the two crises seems to be different on the exchange rates.

• ETRI Journal
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• 제28권3호
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• pp.337-346
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• 2006

In this paper, we propose a new language model, namely, a dependency structure language model, for information retrieval to compensate for the weaknesses of unigram and bigram language models. The dependency structure language model is based on the first-order dependency model and the dependency parse tree generated by a linguistic parser. So, long-distance dependencies can be naturally captured by the dependency structure language model. We carried out extensive experiments to verify the proposed model, where the dependency structure model gives a better performance than recently proposed language models and the Okapi BM25 method, and the dependency structure is more effective than unigram and bigram in language modeling for information retrieval.

• 대한간호학회지
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• 제33권6호
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• pp.705-712
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• 2003

Purpose: The purpose of this study was to explore factors that influence care dependency of institutionalized patients with dementia. Method: This study utilized descriptive correlational design. The convenience sample was composed of 110 residents with dementia of two long-term care facilities in Korea. Stepwise multiple regression was used to identify significant factors influencing care dependency in patients with dementia. Care dependency was measured using the Care Dependency Scale, Korean version(CDS-K). Cognition was measured by the MMSE-K. Functional disability was measured by the PULSES Profile. Behavioral dysfunction was measured by the modified E-BEHAVE AD. Result: Care dependency was significantly influenced by cognition, functional disability, behavioral dysfunction, and duration of dementia. This regression model explained 61 % of the variances in care dependency. Cognition explained 37% of the variances, and functional disability explained 21% of the variances. Conclusion: Results of this study suggest that professional caregivers intervene more effectively in caring for their patients with dementia by recognizing the patients cognitive, functional, behavioral disability, and its periodic change. Individually, remaining abilities-focused intervention should be applied to enhance patient to be dependent and to prevent unnecessary independency.

• 한국노년학
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• 제29권3호
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• pp.1183-1196
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• 2009

본 연구는 장기요양보호 노인특성 및 부양자특성과 부양스트레스의 전반적 경향을 살펴보고, 부양자의 스트레스에 대한 노인 및 부양자특성의 상대적 영향력을 알아보기 위해 실시되었다. 이를 위해 부산, 대구, 경북지역에 거주하는 장기요양보호 3등급 노인의 부양자 105명을 임의 표집하여 질문지법을 사용하여 자료를 수집하였다. 연구결과 부양자의 시간의존 스트레스는 노인의 의존도와 부양자의 건강이 그리고 자기발전스트레스는 노인과 부양자의 관계의 질, 노인의 의존도, 부양자연령, 그리고 부양자건강 순으로 영향을 받는 것으로 나타났다. 또한 신체적 스트레스는 부양자건강과 노인의 의존도 순으로, 그리고 사회적 스트레스는 부양자건강, 관계의 질, 그리고 노인의 의존도 순으로, 마지막으로 정서적 스트레스는 관계의 질에 유의한 영향을 받는 것으로 나타났다. 본 연구결과를 기초로 장기요양보호노인의 부양자 스트레스 감소를 위한 실천적 함의가 논의되었다.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제21권8호
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• pp.567-571
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• 2015

기존의 전이 기반 한국어 의존 구문 분석 방법론들은 사용 될 자질의 설계에 많은 노력이 필요하다. 최근에 인공 신경망을 이용하여 자질 설계 단계에서의 시간과 노력을 줄이는 연구들이 많이 수행되었으나 제한된 context의 정보들만 보고 전이 과정에 필요한 decision을 내려야 하는 문제점들이 있다. 본 논문에서는 순환 신경망 모델을 이용하여 자질 설계에 필요한 노력을 줄이고 순환 구조로 먼 거리 의존관계를 고려하였다. 실험을 진행한 결과 일반적인 다층 신경망에 비해 0.51%의 성능향상을 이루었으며 UAS 90.33%의 성능을 선보인다.

• The Journal of Asian Finance, Economics and Business
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• 제9권2호
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• pp.71-79
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• 2022

The aim of this study is to see how government spending on education, health, and social security affects ratios in Indonesia. The third sector has a critical role to play in reducing the dependency ratio. It also aims to lower unemployment and poverty rates. This study uses the GMM panel data model. This model can determine the dynamic response of the ratio that comes from a number of variables. This study uses data from 33 provinces from 2010 to 2018. The results show that government spending in the education and health sectors has a positive effect on the dependency ratio, both in the short and long term. Social security has a significant effect on the dependency ratio in the long term, but not in the short term. Government spending in the education sector and health sector and social security sector have a positive and significant effect on disease and illness. The study's findings show a high level of poverty with a large standard deviation. The high ratio value is due to the large number of restrictions placed on a number of regions. Each province has made a significant contribution to overcoming these challenges, particularly in terms of the comparative ratio.

• 대한안전경영과학회지
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• 제13권2호
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• pp.231-241
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• 2011

Business processes are often of long duration, and include internal worker's decision making, which makes business processes to be exposed to many exceptional situations. These properties of business processes makes it difficult to guarantee successful termination of business processes at the design phase. The behavioral properties of business processes mainly depends on the data aspects of business processes. To formalize the data aspect of process modeling, this paper proposes a graph-based model, called Data Dependency Graph (DDG), constructed from dependency relationships specified between business data. The paper also defines a mechanism of describing a set of mapping rules that generates a process model semantically equivalent to a DDG, which is accomplished by allocating data dependencies to component activities.

• Journal of Korean Biological Nursing Science
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• 제16권3호
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• pp.173-181
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• 2014

Purpose: The purpose of this study was to analyze the effects of a quit smoking program using the Web and short message service on exhaled carbon monoxide, self-efficacy, and depression according to nicotine dependency level in undergraduate students. Methods: In this study a non-equivalent control group pretest-posttest design was applied. The participants included 90 students (52 in the low nicotine dependency group and 38 in the high nicotine dependency group) who succeeded in quitting smoking. Data were collected on 3 occasions, that is, before the program, immediately after the program, and 3 weeks after the program. Collected data were analyzed using independent t-test, repeated measure ANOVA, and paired t-test with SPSS 20.0. Results: Exhaled carbon monoxide was higher in the high nicotine dependency group than in the low nicotine dependency group. Self-efficacy significantly increased 3 weeks after the program in the low nicotine dependency group and significantly increased immediately after the program in the high nicotine dependency group. Depression significantly decreased 3 weeks after the program in the low nicotine dependency group. Conclusion: Self-efficacy may be enhanced when it is dealt with during an early phase of the quit smoking program for the high nicotine dependency group. Long-term intervention and persistent intervention are needed with regard to depression during a quit smoking program.

• 보건행정학회지
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• 제17권1호
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• pp.75-93
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• 2007

This research purposed to analyse the diversity of the long-term care system based on the dependency/independency of the aged. For this purpose, we divided the long-term care systems to three components; form of benefit, generosity of benefit and delivery system. Form of benefit is whether the benefit is cash or in-kind, and the generosity of benefit is related to the level and coverage of benefit. The last concerned to focus on provider and user selection. According to this, we tried to make an ideal type of long-term care in the perspective of citizenship and consumerism. As a result, we established four types of long-term care system; active citizen type, passive citizen type, latent citizen type, and family dependent type. And we investigated Austria, Sweden, Germany and Korea for each type empirically.

• 한국정보과학회논문지:소프트웨어및응용
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• 제34권2호
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• pp.140-149
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• 2007

본 논문에서는 한국어 의존 구문 분석을 위한 새로운 확률 모델을 제안한다. 한국어가 자유 어순 언어라 할지라도 지역적 어순은 존재하기 때문에 의존관계를 결정하기 위해 의존하는 두 어절인 의존소와 지배소 사이의 수식 거리가 유용하다는 것은 이미 많은 연구를 통해 밝혀졌다. 본 연구에서는 수식거리의 정확한 수식 거리의 추정을 위해 지배가능 경로 문맥을 이용한 수식 거리 확률 모델을 제안한다. 수식 거리를 위해 지배가능 경로를 고려함으로써, 긴 표층 문맥을 압축하는 효과를 가져다 준다. 이를 통해 구문 분석 정확률 향상과 원거리 의존 관계 향상을 보임을 설명한다. 실험 및 평가를 통해 제안하는 모델의 구문 분석 성능은 86.9%이며, 기존에 제안된 구문 분석 모델과 비교하여 높은 구문 분석 결과를 보이며, 특히 원거리 의존관계에 대하여 더욱 향상된 성능을 보인다.