• The Journal of the Acoustical Society of Korea
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• v.19 no.5
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• pp.13-19
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• 2000

The blind segmentation method, which segments input speech data into recognition unit without any prior knowledge, plays an important role in continuous speech recognition system and corpus generation. As no prior knowledge is required, this method is rather simple to implement, but in general, it suffers from bad performance when compared to the knowledge-based segmentation method. In this paper, we introduce a method to improve the performance of a blind segmentation of Korean continuous speech by postprocessing the segment boundaries obtained from the blind segmentation. In the preprocessing stage, the candidate boundaries are extracted by a clustering technique based on the GLR(generalized likelihood ratio) distance measure. In the postprocessing stage, the final phoneme boundaries are selected from the candidates by utilizing a simple a priori knowledge on the syllabic structure of Korean, i.e., the maximum number of phonemes between any consecutive nuclei is limited. The experimental result was rather promising : the proposed method yields 25% reduction of insertion error rate compared that of the blind segmentation alone.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.181-190
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• 2020

The study was conducted to examine the correlations between nursing students' knowledge, attitudes to advance medical directives and hospice perception. Data were collected using questionnaires from 181 students who were in 2rd and 4th year of the nursing college in D city, from May to Jun 2019. The collected data was analyzed using descriptive statistics, pearson's corelation coefficient and stepwise multiple regression with IBM SPSS 21.0 program. The study results showed that university students in nursing scored 3.52±.69, points for knowledge of advance directives, 3.10±.36 for attitude of advance directives, 3.14±.27 for hospice perception. The knowledge for advance directives was positively correlated with Attitude (r=.38, p <.001), and toward perception for hospice (r=0.28, p <.001). Based on the results of this study, it is necessary to develop a systematic education program in order to improve the awareness of the Perception of Hospice, Knowledge and Attitude toward Advance Directives.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.539-547
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• 2021

This study was conducted to identify the effects of knowledge of Advance Directives (AD) and the patient's perception of a peaceful death on their attitude toward the withdrawal of life-sustaining treatment and to provide basic data for the development of a nursing intervention program for activating self-determination in the withdrawal of life-sustaining support of patients. The subjects were 167 adult cancer patients who received outpatient or inpatient treatment, from September 15, 2019, to March 30, 2020. The data was analyzed by mean, standard deviation, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression by using SPSS 21.0. From the results, it was observed that the knowledge of AD was 8.87±2.46 out of 12, perception of a peaceful death was 2.87±0.42 out of 4, and attitude toward withdrawal of life-sustaining treatment was 3.46±0.49 out of 5. There was a positive correlation between knowledge of AD, perception of a peaceful death, and their attitude toward withdrawal of life-sustaining treatment. The influencing variables were the knowledge of AD, perception of a peaceful death, discussion with family on withdrawal of life-sustaining treatment, and explanation power was 16.0% (F=10.355, p<.001). Therefore, it is necessary to develop a program that would improve the perception of a peaceful death, increase the knowledge of AD to improve the patients' attitude toward the withdrawal of life-sustaining treatment. An intervention to assist a discussion between the patients and their families in advance would also be useful.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.83-98
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• 2021

This study identified the influence of employees' hybrid start-up intention (intention to start a business while maintaining a job) on the employees' self-determination motivation (intrinsic motivation, extrinsic motivation) and prior knowledge through the Model of Goal-directed Behavior (MGB). We used a PLS-SEM called SmartPLS 3.0 for 126 valid samples collected by judgement extraction for office workers throughout June 13, 2020 to July 3, 2020, and empirically evaluated the measurement model (internal consistency reliability, convergent and discriminant validity) and the structural model (multicollinearity, determination coefficient, effect size, predictive relevance, etc.). Only the intrinsic motivation for realizing the hybrid start-up goal of office workers had a significant impact on the hybrid start-up attitude and subjective norms, and the prior knowledge of hybrid start-up had a significant impact on the hybrid start-up desire and the hybrid start-up intention. In order to induce hybrid start-ups for workers with unstable employment, we need systems and programs that can inspire employees with intrinsic motivation and knowledge about hybrid start-up, so follow-up researches are necessary to analyze about government systems and consulting support that can promote hybrid start-up.

• Korean Journal of Childcare and Education
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• v.9 no.2
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• pp.117-141
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• 2013

The purpose of this study is to investigate the young children's 'more means more' bias and knowledge change process regarding a lever phenomenon, especially the relationship between the weight of an object and the strength of force and between the length of a lever and the strength of force. Subjects, who were presented with the tasks, were eight young children 5 years of age. Major findings were as followings. First, most of the subjects have a 'more means more' bias about the relationship between the weight of an object and the strength of force and between the length of a lever and the strength of force regarding a lever phenomenon. This meant that young children have similar concepts about a lever phenomenon regardless of whether it is right or wrong physically. Second, young children tried to make sure of their knowledge during experiments. They chose the evidence which confirmed their knowledge. But they tried to change their knowledge, when the evidence presented did not correspond to their knowledge. These findings contribute to understanding young children's 'more means more' bias and knowledge change process about a lever phenomenon and can be used in preschool science education programs and curriculums.

• Korean Journal of Cognitive Science
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• v.13 no.2
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• pp.47-59
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• 2002

Three experiments were conducted to investigate whether different types (common vs. uncommon) of prior-examples entail different effects in creative problem solving, and whether types/levels (rich or lean. common or uncommon) of background knowledge interact with types of prior-examples. It was found that the example types and the types/levels of background knowledge do interact and have some differential effects on generating novel and useful ideas. In Experiment 1 and 2. uncommon examples had a positive effect - generating many novel and useful ideas. regardless of background knowledge types. while common examples had positive effects, only when the background knowledge was somewhat uncommon In Experiment 3 it was also found that types (irrelevant,. single common. single uncommon, or multiple common + uncommon) of background knowledge seemed to influence differently on the ease of finding solutions: when background knowledge is diverse or not directly related to the task problem, uncommon prior examples produced much greater number of novel ideas than it was with single common or sin91e uncommon background knowledge. Implications of the present study were discussed. in relation to mental sets and fixation.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.928-930
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• 2004

지금까지 기계번역과 교차언어 정보검색 등과 같은 자연언어응용에서 사용되는 번역지식을 자동으로 구축하는 연구가 활발히 진행되어 왔다. 번역지식을 자동으로 구축하는 연구는 대역사전에 등재되어 있지 않은 미등록어에 대한 대역정보를 문서에서 자동으로 획득하는 것을 목표로 한다. 최근에는 이러한 미등록어 중 음차표기 번역지식에 대한 연구가 활발히 진행되고 있다. 음차표기는 주로 영어 단어를 발음에 기반하여 비영어권의 언어로 표기하는 것을 의미한다. 음차표기된 단어들은 새로운 개념을 나타내는 신조어가 많기 때문에 사전에 등재되어 있지 않온 경우가 많다. 따라서 효과적인 번역지식 구축을 위해서는 이러한 음차표기 번역지식을 자동으로 획득하는 것은 매우 중요하다. 본 논문에서는 영-한 음차표기 대역쌍을 문서에서 자동으로 추출하는 알고리즘을 제안한다. 본 논문의 기법은 한국어 음차표기의 인식, 영-한 자동음차표기, 한국어 음차표기와 자동음차표기된 영어단어간의 음성적 유사도 비교를 통하여 음차표기 대역쌍을 추출한다. 본 논문의 기법은 약 93%의 정확률과 68%의 재현율을 나타내었다.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06b
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• pp.336-338
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• 2012

본 연구에서는 고차 데이터 분류를 위해 순차적 베이지만 샘플링 기반의 진화연산 기법을 이용한 하이퍼네트워크 모델의 학습 알고리즘을 제시한다. 제시하는 방법에서는 모델의 조건부 확률의 사후(posterior) 분포를 최대화하도록 학습이 진행된다. 이를 위해 사전(prior) 분포를 문제와 관련된 사전지식(prior knowledge) 및 모델 복잡도(model complexity)로 정의하고, 측정된 모델의 분류성능을 우도(likelihood)로 사 용하며, 측정된 사전분포와 우도를 이용하여 모델의 적합도(fitness)를 정의한다. 이를 통해 하이퍼네트워크 모델은 고차원 데이터를 효율적으로 학습 가능할 뿐이 아니라 모델의 학습시간 및 분류성능이 개선될 수 있다. 또한 학습 시에 파라미터로 주어지던 하이퍼에지의 구성 및 모델의 크기가 학습과정 중에 적응적으로 결정될 수 있다. 제안하는 학습방법의 검증을 위해 본 논문에서는 약 25,000개의 유전자 발현정보 데이터셋에 대한 분류문제에 모델을 적용한다. 실험 결과를 통해 제시하는 방법이 기존 하이퍼네트워크 학습 방법 뿐 아니라 다른 모델들에 비해 우수한 분류 성능을 보여주는 것을 확인할 수 있다. 또한 다양한 실험을 통해 사전분포로 사용된 사전지식이 모델 학습에 끼치는 영향을 분석한다.

• The Journal of the Korea Contents Association
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• v.21 no.4
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• pp.688-698
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• 2021

The purpose of this study was to determine the effects of perception of good death and knowledge toward advance directive on attitude toward withdrawal of life-sustaining treatment among university hospital nurses. The subjects of this study were 207 university hospital nurses. Data were analyzed using the SPSS Statistics 24.0 version. The results showed that factors influencing attitude toward withdrawal of life-sustaining treatment were perception of good death (𝛽=-.32, p<.001), education experience for good death (𝛽=.15, p=.024), and knowledge toward advance directive (𝛽=.14, p=.036). They explained 14.2% of attitude toward withdrawal of life-sustaining treatment. Based on the results of this study, it suggests the development of education programs for good death and life-sustaining treatment to improve the perception of good death, knowledge toward advance directive of university hospital nurses.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.187-194
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• 2015

Various linguistic knowledge resources are required in order that machine can understand diverse variation in natural languages. This paper aims to devise an automatic construction method of linguistic resources by reflecting characteristics of online contents toward continuous expansion. Especially we focused to build NE(Named-Entity) dictionary because the applicability of NEs is very high in linguistic analysis processes. Based on the investigation on Korean Wikipedia, we suggested an efficient construction method of NE dictionary using the syntactic patterns and structural features such as metadatas.