• 한국정보과학회 언어공학연구회:학술대회논문집(한글 및 한국어 정보처리)
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• 한국정보과학회언어공학연구회 2018년도 제30회 한글 및 한국어 정보처리 학술대회
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• pp.305-309
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• 2018

딥러닝에서 층을 공유하여 작업에 따라 변하지 않는 정보를 사용하는 multi-task learning이 다양한 자연어 처리 문제에 훌륭하게 사용되었다. 그렇지만 우리가 아는 한 공유 공간의 상태와 성능과의 관계를 조사한 연구는 없었다. 본 연구에서는 공유 공간과 task 의존 공간의 자질의 수와 오염 정도가 성능에 미치는 영향도 조사하여 공유 공간과 성능 관계에 대해서 탐구한다. 이 결과는 multi-task를 진행하는 실험에서 공유 공간의 역할과 성능의 관계를 밝혀서 시스템의 성능 향상에 도움이 될 것이다.

• 전기학회논문지
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• 제61권9호
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• pp.1336-1339
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• 2012

In this paper, we focus on solving the classification problem by using semisupervised learning strategy. Traditional classifiers are constructed based on labeled data in supervised learning. Labeled data, however, are often difficult, expensive or time consuming to obtain, as they require the efforts of experienced human annotators. Unlabeled data are significantly easier to obtain without human efforts. Thus, we use AdaBoost algorithm with SVM-KNN classifier to apply semisupervised learning problem and improve the classifier performance. Experimental results on both artificial and UCI data sets show that the proposed methodology can reduce the error rate.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2022년도 추계학술대회
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• pp.383-384
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• 2022

Gas Combustion Unit (GCU) onboard liquefied natural gas carriers handles boil-off to stabilize tank pressure. There are many factors for LNG cargo operators to take into consideration to determine whether to use GCU or not. Gas consumption of main engine and re-liquefied gas through the Partial Re-Liquefaction System (PRS) are good examples of these factors. Human gas operators have decided the operation so far. In this paper, some deep learning neural network models were developed to provide human gas operators with a decision support system. The models consider various factors specially into GCU operation. A deep learning model with Sigmoid activation functions in input layer and hidden layers made the best performance among eight different deep learning models.

• International Journal of Advanced Culture Technology
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• 제12권2호
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• pp.7-15
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• 2024

Despite a recent surge in multifaceted research on AI-integrated language learning, empirical studies in this area remain limited. This study adopts a Human-Generative AI parallel processing model to examine students' perceptions, asking 182 college students to independently construct knowledge and then compare their efforts with the results generated through in-classroom conversations with ChatGPT 3.5. In questionnaire responses, most students indicated that they found these activities useful and expressed a keen interest in learning various ways to utilize generative AI for language learning with instructor guidance. The findings confirm that ChatGPT's potential as a virtual conversation partner. Identifying specific reasons for the perceived usefulness of conversation activities and drawbacks of ChatGPT, this study emphasizes the importance of teachers staying informed about both the latest advances in technology and their limitations. We recommend that teachers endeavor to creatively design various classroom activities using AI technology.

• 교육시설
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• 제2권2호
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• pp.41-50
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• 1995

The large increase in the number of students and the current rapid social change requires the expansion of educational facilities for the improvement of the educational content and its method, the usefulness of educational media, and the improvement of teaching and learning activities. The educational facilities have largely served is done efficiently and it results in a functional harmony of these two aspects. In order to maximize this harmony, and thus maximize the efficiency of school education, we must analyze the human engineering factors of educational facilities through human being that is the main subject of education, humans. Therefore to maximize the efficiency of school education, we must analyze the human engineering factors of educational facilities through human being that is the main subject in learning and living. In Conclusion we suggest the following six analying standards on human engineering of educational facilities; 1. adequacy 2. suitability 3. healthfulness 4. safety 5. beauty 6. modernity.

• 디지털산업정보학회논문지
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• 제11권3호
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• pp.179-200
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• 2015

Recent national policies National Competency Standards(NCS) to develop teaching-oriented education in the field of industry and learning is taking place. Plan to take advantage of the Internet and multimedia classes, information and communication technology (ICT) for ways to leverage the integration appearing in various forms. The purpose of this study is causal influence on the ARCS motivation theory can determine the basic psychology of human motivation factors and the desires of a typical human nature theory dealing with the psychological needs of interactivity and immersion is learning achievement and learning transfer and to validate the demonstration. By applying information and communication technology sector in the development of learning in information and communication equipment training program modules from a field study conducted at the NCS with a clear empirical and empirical research through the synchronization to the learner and to explore the possibility of generalization.

• 한국멀티미디어학회논문지
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• 제6권4호
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• pp.685-697
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• 2003

The Web based multimedia programmes/courses are becoming widely available in recent years. Most of these courses focus on Behaviorist way of learning, which does not promote deep learning in any way. For Adults this approach further incapacitated, as it does not satisfy Andragogical needs. The search for Constructivist way of learning through the web applied to Indian conditions led to need for developing a curriculum development approach that would promote construction of knowledge through web based collaboration. This paper attempts to reengineer existing curriculum development processes and lays out a framework of‘Problem Based Online Learning (PBOL)’curriculum design. In this context, entire curriculum development life cycle is evolved and explained. This is a part of doctoral work (Ph.D), which is in progress and being undertaken by K.James Mathai, and guided of Dr.D.S.Karaulia.

• 한국차세대컴퓨팅학회논문지
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• 제15권5호
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• pp.31-42
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• 2019

최근 딥러닝 기술이 발전함에 따라 많은 컴퓨터 비전 연구 분야에서 주목할 만한 성과들이 지속적으로 나오고 있다. 단일 이미지를 기반으로 사람의 2차원 및 3차원 포즈를 추정하는 연구에서도 비약적인 성능향상을 보여주고 있으며, 많은 연구자들이 문제의 범위를 확장하며 활발한 연구 활동을 진행하고 있다. 사람의 포즈 추정은 다양한 응용 분야가 존재하고, 특히 이미지나 비디오 분석에서 사람의 포즈는 행동 및 상태, 의도 파악을 위한 핵심 요소가 되기 때문에 상당히 중요한 연구 분야이다. 이러한 배경에 따라 본 논문은 단일 이미지를 기반으로 한 사람의 포즈 추정 기술에 대한 연구 동향을 살펴보고자 한다. 강인하고 정확한 문제 해결을 위해 다양한 연구 활동 결과가 존재한다는 점에서 본 논문에서는 사람의 포즈 추정 연구를 2차원 및 3차원 포즈 추정에 대해서 나누어 살펴보고자 한다. 끝으로 연구에 필요한 데이터 세트 및 사람의 포즈 추정 기술을 적용하는 다양한 연구 사례를 살펴볼 것이다.

• 로봇학회논문지
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• 제12권3호
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• pp.297-305
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• 2017

As the development of autonomous vehicles becomes realistic, many automobile manufacturers and components producers aim to develop 'completely autonomous driving'. ADAS (Advanced Driver Assistance Systems) which has been applied in automobile recently, supports the driver in controlling lane maintenance, speed and direction in a single lane based on limited road environment. Although technologies of obstacles avoidance on the obstacle environment have been developed, they concentrates on simple obstacle avoidances, not considering the control of the actual vehicle in the real situation which makes drivers feel unsafe from the sudden change of the wheel and the speed of the vehicle. In order to develop the 'completely autonomous driving' automobile which perceives the surrounding environment by itself and operates, ability of the vehicle should be enhanced in a way human driver does. In this sense, this paper intends to establish a strategy with which autonomous vehicles behave human-friendly based on vehicle dynamics through the reinforcement learning that is based on Q-learning, a type of machine learning. The obstacle avoidance reinforcement learning proceeded in 5 simulations. The reward rule has been set in the experiment so that the car can learn by itself with recurring events, allowing the experiment to have the similar environment to the one when humans drive. Driving Simulator has been used to verify results of the reinforcement learning. The ultimate goal of this study is to enable autonomous vehicles avoid obstacles in a human-friendly way when obstacles appear in their sight, using controlling methods that have previously been learned in various conditions through the reinforcement learning.

• 가족자원경영과 정책
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• 제24권1호
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• pp.41-53
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• 2020

The purpose of this study was to identify the factors that affect middle-old aged housewives' participation in lifelong learning as a part of human resource development. Through purposive sampling, the study recruited 163 full-time housewives over age 40 years who live in C City. As a result, first, 87.1 percent of all respondents, or 142, said they were willing to participate in lifelong learning in the future. There was no statistically significant difference in the results of cross-checking by age, educational background and monthly household income variables. Additionally, we used cluster analysis to measure differences in participation intentions according to the perception of human resource development of middle-old aged full-time housewives. The perception variable of lifelong learning is: First, Cognitive degree, second, importance, third, activation awareness. Cluster 1(n=16) was divided into generally low-perception types, such as cognitive degree, importance, and life-long learning activation of the C city, while Cluster 2(n=61) was classified as a type of person who thinks that lifelong learning is important to life and Cluster 3(n=86) was generally classified as a type with a higher lifelong learning perception. and we found that there was no difference in the intention to participate in lifelong learning by all cluster Lastly, we found that participants who valued human resource development scored significantly higher on measures of cognition than those who did not value it. Based on these results, we advocates social change that encourages the cultivation of talent through lifelong learning programs that can positively affect one's unique identity, not just wife and mother, and provide opportunities for self-development.