• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.6
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• pp.656-664
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• 2020

This study conducted a self-assessment survey on 50 evaluation items for students majoring nautical science who boarded H University training ships in order to ascertain the degree of improvement in their maritime ability according to the STCW agreement and training period. The trainees' maritime competence and basic understanding of maritime functions were evaluated, and an in-depth analysis was conducted to see how these have changed since their embarkation. The analysis showed a significant improvement in their understanding of maritime functions after the third evaluation in both the first and second semesters. The results also showed areas the trainees need to improve on for each semester's embarkation group, and an additional study plan is needed to make up for the lack of nautical skills in the training course. The result of analysis on the degree of improvement of maritime ability according to the training period of training ships derived from this study can be used for the reorganization of training ships and maritime college curriculum in the future.

• Korean Journal of Cognitive Science
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• v.21 no.2
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• pp.309-338
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• 2010

In this paper, we studied the brain-computer interface (BCI). BCIs help severely disabled people to control external devices by analyzing their brain signals evoked from motor imageries. The findings in the field of neurophysiology revealed that the power of $\beta$(14-26 Hz) and $\mu$(8-12 Hz) rhythms decreases or increases in synchrony of the underlying neuronal populations in the sensorymotor cortex when people imagine the movement of their body parts. These are called Event-Related Desynchronization / Synchronization (ERD/ERS), respectively. We implemented a BCI-based mouse interface system which enabled subjects to control a computer mouse cursor into four different directions (e.g., up, down, left, and right) by analyzing brain signal patterns online. Tongue, foot, left-hand, and right-hand motor imageries were utilized to stimulate a human brain. We used a non-invasive EEG which records brain's spontaneous electrical activity over a short period of time by placing electrodes on the scalp. Because of the nature of the EEG signals, i.e., low amplitude and vulnerability to artifacts and noise, it is hard to analyze and classify brain signals measured by EEG directly. In order to overcome these obstacles, we applied statistical machine-learning techniques. We could achieve high performance in the classification of four motor imageries by employing Common Spatial Pattern (CSP) and Linear Discriminant Analysis (LDA) which transformed input EEG signals into a new coordinate system making the variances among different motor imagery signals maximized for easy classification. From the inspection of the topographies of the results, we could also confirm ERD/ERS appeared at different brain areas for different motor imageries showing the correspondence with the anatomical and neurophysiological knowledge.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.751-754
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• 2010

본 연구는 초등학교 5, 6학년 학생들을 대상으로 인터넷 게임중독과 자아통제, 충동성과의 관계를 파악하여 올바른 인터넷 사용 문화를 장려하고, 과도한 인터넷 사용 방지교육을 위한 기초자료를 제공하고자 시도되었다. 자료는 2009년 11월 9일에서 11월 30일까지 익산시내 3개 초등학교를 임의로 선정하여 5, 6학년 학생 927명을 대상으로 조사하였다. 자료 분석은 SPSS WIN(12.0 한글판) 프로그램을 이용하여 카이제곱검정, t-검정, 일원배치 분산분석, 다중회귀분석의 통계적 방법을 이용하였다. 본 연구의 결과로는 대상자의 인터넷 게임중독 정도는 '정상' 483명(54.3%), '중독초기' 363명(40.8%), '중독중증' 43명(4.8%)으로 나타났다. 일반적 특성에 따른 인터넷 게임중독 정도를 분석한 결과 성별(p<0.01)이 유의한 차이가 있었으며 컴퓨터 사용 특성에 따른 인터넷 게임중독 정도는 이용장소(p<0.05), 주요활동(p<0.01), 평일 이용시간(p<0.01), 주말 이용시간(p<0.01)이 유의한 차이가 있었다. 또한, 인터넷 게임중독과 자아통제와의 관계를 분석한 결과 인터넷 게임중독 경향이 높을수록 자아통제 점수가 낮으며, 자아통제 점수가 높을수록 인터넷 게임중독 경향이 낮은 것으로 조사되었으며(p<0.01) 인터넷 게임중독과 충동성과의 관계를 분석한 결과 인터넷 게임중독 경향이 높을수록 충동성 점수가 높은 것으로 조사 되었는데, 이는 충동성 점수가 낮을수록 인터넷 게임중독 경향이 낮음을 의미한다(p<0.01). 자아통제와 충동성과의 관계를 분석한 결과 자아통제가 낮을수록 충동성이 높으며, 자아통제가 높을수록 충동성이 낮은 것으로 나타나서 자아통제와 충동성은 서로 반대 개념인 것을 알 수 있었으며(p<0.01) 인터넷 게임중독과 자아통제, 충동성과의 다중회귀분석 결과 유의한 영향을 주는 변수는 성별(p<0.01), 학교성적(p<0.01), 주요활동(p<0.01), 평일 이용시간(p<0.01), 주말 이용시간(p<0.01), 자아통제(p<0.01), 충동성(p<0.01)이었다. 여학생보다 남학생이, 학교성적이 높을수록, 주요활동이 비학습관련인 경우, 평일 이용시간이 1시간이상 이용할수록, 주말 이용시간이 2시간이상 많이 이용할수록, 자아통제가 낮을수록, 충동성이 높을수록, 인터넷 게임중독 경향이 높은 것으로 나타났다. 이상의 결과를 종합해 보면, 인터넷 게임중독 경향이 높을수록 자아통제 정도가 낮게, 충동성 정도는 높게 나타나고, 인터넷 게임중독 경향이 낮을수록 자아통제 정도가 높게, 충동성 정도는 낮게 나타나는 것을 알 수 있다. 또한 자아통제와 충동성은 상반된 개념으로 자아통제 정도가 높을수록 충동성은 낮아지고 자아통제 정도가 낮을수록 충동성이 높아짐을 알 수 있다.

• The Journal of the Acoustical Society of Korea
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• v.22 no.8
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• pp.727-739
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• 2003

In this paper, we propose a generation method of regression classes for adaptation in the HM-Net (Hidden Markov Network) system. The MLLR (Maximum Likelihood Linear Regression) adaptation approach is applied to the HM-Net speech recognition system for expressing the characteristics of speaker effectively and the use of HM-Net in various tasks. For the state level sharing, the context domain state splitting of PDT-SSS (Phonetic Decision Tree-based Successive State Splitting) algorithm, which has the contextual and time domain clustering, is adopted. In each state of contextual domain, the desired phoneme classes are determined by splitting the context information (classes) including target speaker's speech data. The number of adaptation parameters, such as means and variances, is autonomously controlled by contextual domain state splitting of PDT-SSS, depending on the context information and the amount of adaptation utterances from a new speaker. The experiments are performed to verify the effectiveness of the proposed method on the KLE (The center for Korean Language Engineering) 452 data and YNU (Yeungnam Dniv) 200 data. The experimental results show that the accuracies of phone, word, and sentence recognition system increased by 34∼37%, 9%, and 20%, respectively, Compared with performance according to the length of adaptation utterances, the performance are also significantly improved even in short adaptation utterances. Therefore, we can argue that the proposed regression class method is well applied to HM-Net speech recognition system employing MLLR speaker adaptation.

• Journal of Korea Multimedia Society
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• v.10 no.7
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• pp.846-855
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• 2007

Significant feature extraction in cancer cell image analysis is an important process for grading cell carcinoma. In this study, we propose a method for 3D quantitative analysis of cell nuclei based upon digital image cytometry. First, we acquired volumetric renal cell carcinoma data for each grade using confocal laser scanning microscopy and segmented cell nuclei employing color features based upon a supervised teaming scheme. For 3D visualization, we used a contour-based method for surface rendering and a 3D texture mapping method for volume rendering. We then defined and extracted the 3D morphological features of cell nuclei. To evaluate what quantitative features of 3D analysis could contribute to diagnostic information, we analyzed the statistical significance of the extracted 3D features in each grade using an analysis of variance (ANOVA). Finally, we compared the 2D with the 3D features of cell nuclei and analyzed the correlations between them. We found statistically significant correlations between nuclear grade and 3D morphological features. The proposed method has potential for use as fundamental research in developing a new nuclear grading system for accurate diagnosis and prediction of prognosis.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.81-90
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• 2020

The purpose of this study is to study how to apply block-chain technology to prevent data forgery and alteration in the defense sector of AI(Artificial intelligence). AI is a technology for predicting big data by clustering or classifying it by applying various machine learning methodologies, and military powers including the U.S. have reached the completion stage of technology. If data-based AI's data forgery and modulation occurs, the processing process of the data, even if it is perfect, could be the biggest enemy risk factor, and the falsification and modification of the data can be too easy in the form of hacking. Unexpected attacks could occur if data used by weaponized AI is hacked and manipulated by North Korea. Therefore, a technology that prevents data from being falsified and altered is essential for the use of AI. It is expected that data forgery prevention will solve the problem by applying block-chain, a technology that does not damage data, unless more than half of the connected computers agree, even if a single computer is hacked by a distributed storage of encrypted data as a function of seawater.

• Journal of Korean Society of Transportation
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• v.20 no.4
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• pp.151-162
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• 2002

The object of this study is to develop an operating time prediction model for expressways using toll collection data. A Prediction model based on modular neural network model was developed and tested using real data. Two toll collection system(TCS) data set. Seoul-Suwon section for short range and Seoul-Daejeon section for long range, in Kyongbu expressway line were collected and analyzed. A time series analysis on TCS data indicated that operating times on both ranges are in reasonable prediction ranges. It was also found that prediction for the long section was more complex than that for the short section. However, a long term prediction for the short section turned out to be more difficult than that for the long section because of the higher sensitivity to initial condition. An application of the suggested model produced accurate prediction time. The features of suggested prediction model are in the requirement of minimum (3) input layers and in the ability of stable operating time prediction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.109-116
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• 2020

This study was undertaken to identify factors affecting the mental health of nursing students, including career motivation, sense of humor, and problem-solving ability, and to provide data for improving mental health of nursing students. This research enrolled 235 nursing students in B and Y cities. Data were collected from October 22 to October 31, 2018, and analyzed by applying t-test, ANOVA, Pearson's correlation coefficient, and multiple regression, using the SPSS/WIN 22.0. The average score for mental health was determined to be 2.19±0.77. Ed. Negative correlation was obtained between mental health and career motivation (r=-0.443, p<0.001), mental health and sense of humor (r=0.400, p<0.001), and mental health and problem-solving ability (r=0.465, p<0.001). Regression analysis showed that 33.4% variance in the mental health of nursing students is affected by gender (β=-0.121, p=0.033), pocket money (β=0.123, p=0.028), peer relation (β=0.165, p=0.004), sense of humor (β=-0.168, p=0.012), and problem-solving ability (β=-0.186, p=0.006). Data from this study indicates a necessity to repeat the study for identifying general characteristics and psychological factors that control an individual, and technical factors that can be acquired through learning. Taken together, we believe that the factors included and indicated in this study influence the mental health of nursing students.

• Journal of Korean Home Economics Education Association
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• v.16 no.4 s.34
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• pp.1-8
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• 2004

The purpose of this study was to investigate as to how much of changes has occurred in the newly revised Home Economics Textbooks required by the 7th Curriculum as compared to those by the former 6th Curriculum. and to seek future policy direction which can be improved even better. if any. for further revision. To implement this proposal, this study employed 8 different textbooks published among 12 textbooks developed for the 7th Curriculum for data base. The results of this study were as follows: It was covered such areas of change and develope in the composition of category and system in the Home Economics Textbooks required by the 7th Curriculum as compared to those by the former 6th Curriculum. The whole system of textbook was composed of cover page, the inside of a book cover. the title page, introduction. table of contents. appendices. It was same in the total pages with the exception of table of contents. appendices. the inside of a book cover and it was much alike in contents of introduction. In the aspect of the unit system of the textbooks. their whole flows were similar to each other. but the writers' intention and the stress on the focal points had appeared well in topic introduction and texts for the units of the textbooks. In addition. it can be said desirable that much more middle school teachers took a participation in the development of textbooks as textbook writers than before. In the organizational aspect of the sub-area organization of textbooks in the 7th Curriculum, it was not dispersed in grade 1, 2, and 3, but was centralized in a certain grade to increase its efficiency. The number of activity and experiment & practice that students could try to do actually were drastically increased compared to the 6th Curriculum. but it showed a wide difference between textbooks.

• Journal of Korean Home Economics Education Association
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• v.16 no.4 s.34
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• pp.141-156
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• 2004

The purpose of this study was to examine the relationship between marital satisfaction and job performance among secondary school married female teachers. The subjects of this study were 237 married female teachers who worked in middle-and high-schools in Seoul and Gyeonggido. To gauge how they were pleased with their married lives. Lee Jeong-ryeon(1987)'s scale that was based on Synder's scale and made up for its segment about relations with family-in-law. As for job performance. Yun Gyeong-hye(2001)'s scale that was based on Son Jeong-hwan(1990)'s teacher job scale was employed. For data analyses. t-tests. ANOVAs. Scheffe tests for pairwise comparison. Pearson's correlations were utilized. The findings of this study illustrated that the marital satisfaction of the secondary school married female teachers were significantly related to their job performance. This indicated that their marital satisfaction served to enhance their job performance. and furthermore. that could be said to determine the quality of school education.