• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2014년도 춘계학술발표대회
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• pp.745-748
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• 2014

SentiWordNet is an important lexical resource supporting sentiment analysis in opinion mining applications. In this paper, we propose a novel approach to construct a Vietnamese SentiWordNet (VSWN). SentiWordNet is typically generated from WordNet in which each synset has numerical scores to indicate its opinion polarities. Many previous studies obtained these scores by applying a machine learning method to WordNet. However, Vietnamese WordNet is not available unfortunately by the time of this paper. Therefore, we propose a method to construct VSWN from a Vietnamese dictionary, not from WordNet. We show the effectiveness of the proposed method by generating a VSWN with 39,561 synsets automatically. The method is experimentally tested with 266 synsets with aspect of positivity and negativity. It attains a competitive result compared with English SentiWordNet that is 0.066 and 0.052 differences for positivity and negativity sets respectively.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.909-918
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• 2020

This study, not only investigates the important role of lifelong learning in shaping young people's knowledge and in maximizing their potential, but also aims to shed light on the influencing factors of lifelong learning of young people in Vietnam. The author applied STATA and SPSS to analyze quantitative data collected from questionnaires with 332 respondents aged between 19 years old and 24 years old. Based on a holistic review of literature, this study concludes that four driver factors affect young people's lifelong learning ability, comprising: organizational culture, motivation, human resource development, and domestic private type of enterprise. The results emphasize the positivity of organizational culture, human resource development, and the nature of work, especially organizational culture and human resource development, which are dominant reasons for young people to maintain lifelong learning. The relationship between demographics and lifelong learning was tested and it indicated that male has a stronger interest in learning than female. The result of the study also shows the impact of different types of business sectors on employees' learning intentions. It points out that the domestic private type of enterprise is the most effective factor that has a positive relationship with the lifelong learning of the individual.

• 대한치과기공학회지
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• 제42권4호
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• pp.402-408
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• 2020

Purpose: To understand the students' level of recognition of online classes in the Department of Dental Technology and to provide the basic data for designing online classes based on the dental technology course. Methods: A survey was conducted among the students of the dental technology department. The collected data was analyzed with the SPSS ver. 25.0 program. To ensure a reliable verification, the α=0.05 significance level was used. The t-test and analysis of variance were also performed. Results: The students' level of recognition of online classes in the Department of Dental Technology is shown in the rate of recognition for video-based classes for both the theory and experiments. Students displayed high positivity with the video-based learning as it is repeated learning that is not affected by the limitations of time. In addition, video-based learning is highly beneficial in terms of convenience, satisfaction, and achievement for learning. Conclusion: Based on the results, video-based learning is a highly positive learning type for students. It was also recommended that the Department of Dental Technology should offer a post-COVID-19 online class to include the blended methods of a face-to-face class and video-based learning.

• 대한의생명과학회지
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• 제25권1호
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• pp.99-106
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• 2019

Amyloid positron emission tomography (PET) allows early and accurate diagnosis in suspected cases of Alzheimer's disease (AD) and contributes to future treatment plans. In the present study, a method of implementing a diagnostic system to distinguish ${\beta}$-Amyloid ($A{\beta}$) positive from $A{\beta}$ negative with objectiveness and accuracy was proposed using a machine learning approach, such as the Principal Component Analysis (PCA) and Support Vector Machine (SVM). $^{18}F$-Florbetaben (FBB) brain PET images were arranged in control and patients (total n = 176) with mild cognitive impairment and AD. An SVM was used to classify the slices of registered PET image using PET template, and a system was created to diagnose patients comprehensively from the output of the trained model. To compare the per-slice classification, the PCA-SVM model observing the whole brain (WB) region showed the highest performance (accuracy 92.38, specificity 92.87, sensitivity 92.87), followed by SVM with gray matter masking (GMM) (accuracy 92.22, specificity 92.13, sensitivity 92.28) for $A{\beta}$ positivity. To compare according to per-subject classification, the PCA-SVM with WB also showed the highest performance (accuracy 89.21, specificity 71.67, sensitivity 98.28), followed by PCA-SVM with GMM (accuracy 85.80, specificity 61.67, sensitivity 98.28) for $A{\beta}$ positivity. When comparing the area under curve (AUC), PCA-SVM with WB was the highest for per-slice classifiers (0.992), and the models except for SVM with WM were highest for the per-subject classifier (1.000). We can classify $^{18}F$-Florbetaben amyloid brain PET image for $A{\beta}$ positivity using PCA-SVM model, with no additional effects on GMM.

• 한국정보통신학회논문지
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• 제12권10호
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• pp.1903-1908
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• 2008

최근에 교수학습 방법영향에 따라서, e-러닝, ICT(Information Communication Technology), 컴퓨터 활용, 인터넷 등을 접목하여 학생들의 협동심과 책임감을 요하는 협동학습에 적용하고자 하는 연구가 활발하게 진행 중이다. 따라서 본 논문에서는 협동학습을 통해 학업성취도에 미치는 영향을 평가한다. 특히, 컴퓨터를 활용하는 정도와 이용시간 등이 학습에 얼마나 도움이 되는지 분석하고 계열별로 집단을 구분하여 집단에서 개인의 적극성과 참여정도에 대한 영향이 집단 전체에 미치는 효과를 분석한다. 그리고 학업 성취도에 대한 성별, 환경적, 컴퓨터 사용능력의 변화를 평가한다.

• 대한영상의학회지
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• 제84권3호
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• pp.638-652
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• 2023

목적 경도인지장애와 알츠하이머 치매 환자에서 아밀로이드베타 양성을 예측할 수 있는 MRI 특징을 알아보고 머신러닝으로 아밀로이드베타 양성 예측 모형의 성능을 알아보고자 하였다. 대상과 방법 후향적 및 단면조사연구로 경도인지장애와 알츠하이머 치매 총 139명의 환자를 대상으로 하였다. 이들은 모두 뇌 MRI와 아밀로이드 PET-CT를 시행하였다. 대상자는 아밀로이드 베타 양성군(n = 84)과 아밀로이드 베타 음성군(n = 55)으로 분류하였다. 시각적 분석으로는 뇌백질 고신호 병변의 Fazekas 척도와 뇌미세출혈 개수를 시행하였다. 정량분석으로 뇌백질 고신호 병변의 부피와 국소뇌부피를 측정하였다. 다중 로지스틱 회귀분석과 머신러닝 기법으로 아밀로이드베타 양성을 가장 잘 예측할 수 있는 MRI 특징을 확인하였다. 결과 시각적분석에서 아밀로이드베타 양성군은 뇌백질 고신호 병변의 Fazekas 척도(p = 0.02)와 뇌미세출혈 개수(p = 0.04)가 유의미하게 높았다. 해마, 내후각피질, 설전부의 국소뇌부피들은 아밀로이드베타 양성군에서 유의미하게 작았다(p < 0.05). 제3뇌실(p = 0.002)의 부피는 아밀로이드베타 양성군에서 유의미하게 컸다. 간이 정신 상태 검사와 국소뇌부피를 이용하여 머신러닝기법을 이용했을 때 좋은 정확도를 보였다(81.1%). 결론 간이 정신 상태 검사, 제3뇌실과 해마 부피를 이용한 머신러닝의 적용은 아밀로이드베타 양성을 예측하는데 활용될 수 있다.

• Journal of Multimedia Information System
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• 제9권1호
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• pp.61-68
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• 2022

The importance of online reviews is prevalent as more people access goods or places online and make decisions to visit or purchase. However, such reviews are generally provided by short sentences or mere star ratings; failing to provide a general overview of customer preferences and decision factors. This study explored and broke down restaurant reviews found on Google Maps. After collecting and analyzing 5,427 reviews, we vectorized the importance of words using the TF-IDF. We used a random forest machine learning algorithm to calculate the coefficient of positivity and negativity of words used in reviews. As the result, we were able to build a dictionary of words for positive and negative sentiment using each word's coefficient. We classified words into four major evaluation categories and derived insights into sentiment in each criterion. We believe the dictionary of review words and analyzing the major evaluation categories can help prospective restaurant visitors to read between the lines on restaurant reviews found on the Web.

• 대한치매학회지
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• 제22권2호
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• pp.61-68
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• 2023

Background and Purpose: Analyzing brain amyloid positron emission tomography (PET) images to access the occurrence of β-amyloid (Aβ) deposition in Alzheimer's patients requires much time and effort from physicians, while the variation of each interpreter may differ. For these reasons, a machine learning model was developed using a convolutional neural network (CNN) as an objective decision to classify the Aβ positive and Aβ negative status from brain amyloid PET images. Methods: A total of 7,344 PET images of 144 subjects were used in this study. The 18F-florbetaben PET was administered to all participants, and the criteria for differentiating Aβ positive and Aβ negative state was based on brain amyloid plaque load score (BAPL) that depended on the visual assessment of PET images by the physicians. We applied the CNN algorithm trained in batches of 51 PET images per subject directory from 2 classes: Aβ positive and Aβ negative states, based on the BAPL scores. Results: The binary classification of the model average performance matrices was evaluated after 40 epochs of three trials based on test datasets. The model accuracy for classifying Aβ positivity and Aβ negativity was (95.00±0.02) in the test dataset. The sensitivity and specificity were (96.00±0.02) and (94.00±0.02), respectively, with an area under the curve of (87.00±0.03). Conclusions: Based on this study, the designed CNN model has the potential to be used clinically to screen amyloid PET images.

• 문화기술의 융합
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• 제7권3호
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• pp.261-268
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• 2021

본 연구는 코칭기법을 활용한 문해교육프로그램을 개발, 문해학습자에게 적용한 후 학습성취도 향상에 어떠한 영향이 있는지 알아보기 위해 U시의 노인복지관 문해교육학습자 13명을 선정하여 심층면담과 관찰일지, 학습자료를 토대로 분석하는 질적연구방법을 선택하였다. 코칭기법을 활용한 문해교육프로그램은 마음열기, 긍정성 도입, 학습역량 강화 및 조력, 자신감 및 지속성 강화의 4단계 과정으로 구성된 프로세스중심 모델로 연구결과는 첫째, 1단계에서 교수자와 학습자와의 커뮤니케이션이 확장되었고, 둘째, 2단계에서는 긍정적인 마인드를 형성하여 자기주도학습력이 강화되는 결과를 보여주었다. 셋째, 3단계 균형 문해교수법과 상호작용교수법을 활용한 결과 읽고 쓰는 것에 자신감을 획득하여 자기효능감 상승효과로 이어졌다. 넷째, 4단계는 적극적인 칭찬과 지속적인 격려로 학습에 대한 두려움을 이기고 상급과정에 대한 희망을 내포하게 하는 학습성취도 향상의 결과를 보여주었다. 이상의 연구결과로 코칭기법을 활용한 문해교육프로그램은 문해교육 현장에서 학습자를 위한 교육방법으로 유용하게 활용될 수 있다고 본다.

• 융합정보논문지
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• 제9권8호
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• pp.221-232
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• 2019

이 연구에서는 임용시험에서의 실패와 성공을 경험한 특수교사들의 임용시험 실패 요인과 성공 요인이 무엇인지를 탐구하였다. 24명의 특수교사들과 반구조화된 면담을 실시하였으며, 면담 자료의 연속적 비교 분석을 통해 12개의 의미 있는 주제를 추출하였다. 연구 결과를 종합하면 다음과 같다. 첫째, 특수교사들은 임용시험 실패 요인을 남 따라 하기식의 공부, 실패를 부르는 공부전략, 무조건 달달 외우기, 비효율적인 스터디, 불안함과 자신감 부족, 내가 나를 관리하지 못함에 두었다. 둘째, 특수교사들은 임용시험 성공 요인을 자신만의 공부 스타일, 올바른 공부전략, 이해와 암기의 조화, 모두가 득이 되는 스터디, 긍정적인 마음가짐, 무너지지 않는 자신만의 루틴에서 찾았다. 이러한 연구 결과를 임용시험 준비과정에서 실제적으로 활용하는 방안을 제언하였다.