• International Journal of Computer Science & Network Security
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• 제23권6호
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• pp.202-206
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• 2023

Today, social media has become a vital tool. The world communicates and reaches the news and each other's opinions through social media accounts. Recently, considerable research has been done on analyzing social media due to its rich data content. At the same time, since the beginning of the COVID-19 pandemic, which has afflicted so many around the world, the search for a vaccine has been intense. There have been many studies analyzing people's feelings during a crisis. This study aims to understand people's opinions about available Coronavirus vaccines through a learning model that was developed for this purpose. The dataset was collected using Twitter's streaming Application Programming Interface (API) , then combined with another dataset that had already been collected. The final dataset was cleaned, then analyzed using Python. Polarity and subjectivity functions were used to obtain the results. The results showed that most people had positive opinions toward vaccines in general and toward the Pfizer one. Our study should help governments and decision-makers dispel people's fears and discover new symptoms linked to those listed by the World Health Organization.

• 정보화정책
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• 제29권4호
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• pp.26-42
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• 2022

본 연구는 학습자 관점에서 메타버스를 활용한 교육 효과를 알아보기 위해 1) 메타버스 교육플랫폼을 사용하기 전후 수업에 대한 기대와 가치가 충족되었는지를 평가하고, 2) 메타버스 기반의 교육 만족도에 영향을 미치는 요인을 자기효능감과 기대-가치 변인을 통해 검증하고자 했다. 이를 위해 기대-가치는 학습효과와 소통, 수업관여도, 그리고 학습 태도로 평가했고, 자기효능감은 과제난이도 선호, 자기조절 효능감, 그리고 자신감으로 살펴보았다. 서울시 동북부의 한 대학교에서 메타버스 교육플랫폼을 활용한 교과목을 신청한 대학생 70명을 대상으로 한 연구 결과, 학습자는 메타버스를 사용하기 전에 메타버스 활용 교육에 대한 기대와 가치 평가가 높았으나, 이용 후 모든 것이 충족되지 않은 것으로 나타났다. 교육 만족도 평가 결과, 기대-가치 평가항목은 메타버스 교육 만족도에 부정적인 영향을 미쳤지만, 학습자의 자기효능감이 높을수록 만족도가 높게 나타나는 경향성이 일부 나타났는데, 자기효능감의 하위요소 중 과제난이도 선호와 자기조절 효능감이 통계적으로 유의미한 것으로 나타났다. 이 연구는 메타버스를 활용한 교육이 이제 막 시작하는 상황에서 학습자 중심의 메타버스 기반 교육 평가라는 점에서 의미가 있다.

• ETRI Journal
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• 제36권5호
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• pp.704-713
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• 2014

Most natural language processing tasks depend on the outputs of some other tasks. Thus, they involve other tasks as subtasks. The main problem of this type of pipelined model is that the optimality of the subtasks that are trained with their own data is not guaranteed in the final target task, since the subtasks are not optimized with respect to the target task. As a solution to this problem, this paper proposes a consolidation of subtasks for a target task ($CST^2$). In $CST^2$, all parameters of a target task and its subtasks are optimized to fulfill the objective of the target task. $CST^2$ finds such optimized parameters through a backpropagation algorithm. In experiments in which text chunking is a target task and part-of-speech tagging is its subtask, $CST^2$ outperforms a traditional pipelined text chunker. The experimental results prove the effectiveness of optimizing subtasks with respect to the target task.

• 스마트미디어저널
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• 제13권2호
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• pp.32-43
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• 2024

게임 플레이를 위한 행동 주체인 에이전트는 게임 만족도를 높일 수 있는 중요한 요소이다. 하지만 다양한 게임 난이도와 게임 환경, 여러 플레이어를 위한 게임 에이전트 개발에는 많은 시간과 노력이 필요하다. 또한 캐릭터 추가나 업데이트와 같은 게임 환경 변화가 일어나면 새로운 게임 에이전트의 개발이 필요하고, 개발 난이도는 점차 높아진다는 단점이 존재한다. 이와 함께 다양한 플레이어의 수준에 맞는 세분화된 게임 에이전트 역시 중요하다. 단순히 강한 게임 에이전트보다는 세분화된 수준의 게임 플레이가 가능한 게임 에이전트가 활용성이 높고, 플레이어에 대한 만족도를 높일 수 있기 때문이다. 본 논문에서는 카드형 대전 게임을 대상으로 빠른 게임 에이전트 학습과 세분화된 플레이 수준 조절이 가능한 방법을 제안한다. 제안된 방법은 먼저 행동 구성에 대한 높은 자유도와 멀티 에이전트 환경에서의 빠른 학습을 위해 정책(Policy) 기반 분산형 강화학습 방법 중 하나인 IMPALA를 적용한다. 세분화된 플레이 수준 조절은 Temperature-Softmax를 통해 얻은 행동별 확률 값의 샘플링을 통해 수행한다. 논문에서는 Temperature 값의 증가에 따라 게임 에이전트의 플레이 수준이 낮아지는 결과와 이 수치를 다변화하여 손쉽게 다양한 플레이 수준 조절이 가능함을 확인하였다.

• 한국환경교육학회지:환경교육
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• 제12권1호
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• pp.40-63
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• 1999

As the environmental problems are recognized as daily problems in our lives, not as issues of those who are engaged in specific professional fields, the interest in environmental education is increasing gradually. The environmental education is the one that studies the environment and its problems and seeks the solutions for them. This paper deals with how the Korean subject will include environmental education. The environmental problems are already dealt with in the Korean textbooks according to the 6th curriculum for the Korean subject. A noticeable fact is that those textbooks connect the skills for language skills with environmental education. That is, the textbooks try to improve 4 language skills (speaking, listening, reading, and writing) with the Korean data related to environment, which can be the most practical means. This tendency will be also reflected in the 7th curriculum for the Korean subject, and the means will be taken by which environmental education will be able to be implemented more effectively through a variety of learning activities. In case of speaking and listening, learning activities such as speaking of, listening to, or discussing the contents concerning environmental problems can be recommended. In case of reading and literature, learning activities such as reading articles or works concerning environmental problems. Through these learning activities the Korean education will be able to achieve the goal in the fields of knowledge, information, and autonomy or attitudes which are the goals of environmental education. If the contents of the Korean curriculum are described in detail, it can be known that the Korean subject have someting to do with knowledge, skills, and recognition more deeply. In the methods In obtain information and knowledge, it will be desirable to recognize knowledge and information indirectly through various reading data rather than to recognize knowledge and information directly. Or it will be desirable to increase the sensitivity about environmental problems through literary works. For this environmental education in the above, we need to utilize discussion or presentation-oriented leaching and learning in the Korean education. Also we need to approach environmental problems by using various teaching media. We need to emphasize the education in the affective domain, especially through expression of emotions. guidance of reactions, internalization, personification, and so on.

• International Journal of Computer Science & Network Security
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• 제22권12호
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• pp.160-170
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• 2022

COVID pandemic has reshaped the world as it has been known to us and the education system is one of the most affected by it. Due to social distancing, quarantines and isolations have made it impossible for the knowledge transition to the masses using conventional methods. For cope with pandemic, the only other way available for some of the fortunate countries is the use of E-learning having somewhat the same traditional teaching method. This paper is concerned with the study of the preparedness of the learning system in some Sudanese universities due to the impact of the COVID-19 pandemic. Critical analysis has been performed to evaluate the current developing scenario, usage of the facilities available in open-source platforms, and the interaction of the universities folks with e-learning systems. The impact of such measures has been thoroughly investigated in this paper for Sudan which is already deprived of a proper education system. The investigation shows that the interact of the staff and the students with the system was acceptable where more than 85% of those enrolled to the system were interact properly and efficiently. The lecturers conducted through the platform were attended with more than 75% of the students. We also found that most of the lecturer were avoid to exam students by utilize the platform; where only 45% of the uploaded courses were conducted exams over Moodle platform. As Moodle is an open source and still need to be improved to be used for high examination credibility.

• International journal of advanced smart convergence
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• 제3권1호
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• pp.7-10
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• 2014

Upbringing requires an active intervention in the process of children growing up. Convergence in technology and media makes it possible to augment nurturing by making blended infrastructures with new digital resources available in learning environments at schools. A game-based provision of educationally-valuable content within a collective, virtual environment combined with an analysis of events in the game after it has been played (blended nurture environment) may help to better communicate human values especially where old-fashioned discussion methods fail or do not fulfill the promise of effective, educational institution-based methods of bringing up. This is where life sciences, psychology, media, pedagogy and technology (need to) converge.

• Asian review of World Histories
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• 제4권1호
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• pp.125-132
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• 2016

This paper, as a conlcusion to this special issue, presents the future work that is being carried out at NTU Singapore in collaboration with Microsoft Research and Microsoft Azure for Research. For our research team the real frontier research in world histories starts when we want to use computers to structure historical information, model historical narratives, simulate theoretical large scale hypotheses, and incent world historians to use virtual assistants and/or engage them in teamwork using social media and/or seduce them with immersive spaces to provide new learning and sharing environments, in which new things can emerge and happen: "You do not know which will be the next idea. Just repeating the same things is not enough" (Carlo Rubbia, 1984 Nobel Price in Physics, at Nanyang Technological University on January 19, 2016).

• 스마트미디어저널
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• 제1권3호
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• pp.48-55
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• 2012

In general, background subtraction based methods are used to detect the moving objects in visual tracking applications. In this paper we employed background subtraction based scheme to detect the temporarily stationary objects. We proposed two schemes for stationary object detection and we compare those in terms of detection performance and computational complexity. In the first approach we used single background and in the second approach we used dual backgrounds, generated with different learning rates, in order to detect temporarily stopped object. Finally, we used normalized cross correlation (NCC) based image comparison to monitor and track the detected stationary object in a video scene. The proposed method is robust with partial occlusion, short time fully occlusion and illumination changes, as well as it can operate in real time.

• 스마트미디어저널
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• 제13권2호
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• pp.85-94
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• 2024

Artificial Intelligence of Things (AIoT), which combines AI and the Internet of Things (IoT), has recently gained popularity. Deep neural networks (DNNs) have achieved great success in many applications. Deploying complex AI models on embedded boards, nevertheless, may be challenging due to computational limitations or intelligent model complexity. This paper focuses on an AIoT-based system for smart sewing automation using edge devices. Our technique included developing a detection model and a decision tree for a sufficient testing scenario. YOLOv5 set the stage for our defective sewing stitches detection model, to detect anomalies and classify the sewing patterns. According to the experimental testing, the proposed approach achieved a perfect score with accuracy and F1score of 1.0, False Positive Rate (FPR), False Negative Rate (FNR) of 0, and a speed of 0.07 seconds with file size 2.43MB.