• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2014년도 춘계학술대회
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• pp.241-244
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• 2014

가상현실이란 사용자 몰입형 체감형 인터페이스로서 공간적, 물리적 제약에 의해 현실세계에서는 직접 경험하지 못하는 상황을 간접 체험할 수 있도록 하는 기술이다. 종이에 저작된 책들이 디지털시대에 맞게 이동성을 갖춘 모바일 기기를 활용하여 가상현실로 표현되고 있다. 본 논문에서는 디지털 콘텐츠와 아날로그 종이를 융합하고 모바일 증강현실 기술을 사용하여 다양한 상호작용을 체험할 수 있게 해주는 디지로그북을 로봇학습에 적용한다. 로봇학습을 더 풍부하게 만들기 위해 동영상, 입체영상, 애니메이션 등의 중요한 요소를 3D Max에 적용하고, 보다 쉬운 로봇블록 조립을 위해서 블록들 간의 위계질서를 보다 쉽게 파악할 있도록 고안한다. 특히 모바일에서 실행되는 디지로그북은 언제 어디서나 로봇학습이 가능하다.

• 융합정보논문지
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• 제12권4호
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• pp.143-157
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• 2022

이 연구의 목적은 마인크래프트의 몰입형 게임 환경인 스퍼드빌을 디자인하여 학습자가 영어를 습득할 수 있도록 효과적으로 돕는 것이다. 마인크래프트를 사용하여 성공적인 학습 경험을 만들기 위해, 본 연구에서는 애자일 모델과 디자인 사고 접근법을 채택했다. 우선 학습자들의 요구를 분석하기 위해 광범위한 문헌 검토를 수행하였으며 이후의 분석 단계에서 수집된 자료를 바탕으로 마인크래프트 월드를 설계하고 개발하였다. 연구자들은 인지주의 학습 모델을 스퍼드빌에 적용하면 학습자가 정보를 처리하는 방법에 대한 더 많은 통찰력을 제공할 수 있고 한편으로 구성주의 및 행동주의 접근 방식을 구현하는 것이 또한 이점이 있다는 것을 알게 되었다. 마인크래프트 게임을 통하여 영어학습의 효과를 향상시킬 수 있으며 게임기반학습이 언어학습에 도움이 될 수 있는 잠재력을 확인할 수 있었다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2006년도 학술대회 1부
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• pp.954-959
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• 2006

Virtual Reality simulation enables immersive 3D experience of a Virtual Environment. A simulation-based VE can be used to map real world phenomena into virtual experience. This research studies on the use of Newton's physics law to demonstrate the effects of forces upon object's falling movement, and their effects towards other fallible objects. A reconfigurable simulation enables users to reconfigure the parameters of the objects involved in the simulation, so that they can see different effects from the different configurations, such as force magnitude and distance between objects. This concept is suitable for a classroom learning of physics law. Preliminary implementation is done on a PC with a joystick for 4DOF movement. The graphics is implemented by SGI OpenGL Performer. A middleware called NAVERLib that consists of Performer's modules for easy XML-based configuration is used for management of visualization, network and devices connection, and where the engine of this domino simulation is attached.

• 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).

• International Journal of Automotive Technology
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• 제8권4호
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• pp.505-512
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• 2007

This paper presents the quantitative evaluation of the fearfulness of the human driver in the case of the short range (time) on the highway. The driving situation is realized by using the driving simulator based on CAVE, which provides three-dimensional stereoscopic immersive visual information. The examinees' responses and personal information are categorized reasonably by applying the competitive learning algorithm. The characteristics of each group are analyzed. The following two situations are also compared: (1) the active approaching situation where the examinee drives the vehicle near the preceding vehicle, and (2) the passive approaching situation where the preceding vehicle nears the examinee's vehicle by gradually decelerating. The range time that the examinee feels fear in the active approaching case tends to be shorter than that in the passive approaching case.

• 디지털산업정보학회논문지
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• 제15권4호
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• pp.137-148
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• 2019

This paper is designed to examine the effectiveness of Computational Thinking and programming awareness by designing and applying programming classes using Havruta. In the present society, where the Fourth Industrial Revolution was in full swing, the capacity to be equipped has changed, and the education has been changed accordingly. Programming education is logically capable of thinking and improves comprehensive problem solving skills. This direction of programming education allows us to get ideas for solving problems based on computing thoughts and to create our own creative results. However, because they require the grammar of the programming language and many additional abilities, they are not easy for learners, and individual differences in competencies make learning less immersive and interesting. In this paper, to solve the problems of the uniform programming class, this study is designed and applied to the class applying the Jewish traditional teaching method, Havruta's teaching method, to find out the effect of computing thinking and programming perception.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2018년도 하계학술대회
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• pp.45-46
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• 2018

This paper focuses on human activities monitoring problem using onboard smartphone sensors as data generator. Monitoring such activities can be very important to detect anomalies and prevent disease from patients. Machine learning (ML) algorithms appear to be ideal approaches to use for processing data from smartphone to get sense of how to classify human activities. ML algorithms depend on quality, the quantity and even more important, the properties or features, that can be learnt from data. This paper proposes a mobile virtual reality visualization system that helps to view data representation in a very immersive way so that its quality and discriminative characteristics may be evaluated and improved. The proposed system comes as well with a handy data collecting application that can be accessed directly by the VR visualization part.

• 한국수학교육학회지시리즈D:수학교육연구
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• 제24권3호
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• pp.175-199
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• 2021

The Science Writing Heuristic (SWH) approach is described as an immersive argument-based science inquiry focusing particularly on learning through epistemic practices. In the literature, several previous studies indicate how academic achievement is positively influenced by the SWH. In addition to these previous studies, several meta-syntheses of qualitative data have been conducted on this particular topic. With these literatures in mind, a quantitative meta-analysis was conducted with ten studies (N = 724) to examine the effectiveness of the SWH on student achievement in Turkey. To present a thoroughly detailed report, this study also examined the following moderators: grade level, subject area, school location, intervention length, and report source. Overall, this study found that in Turkey, the SWH classrooms performed better in academic achievement tests than traditional lecture-based classrooms. Additionally, the SWH is more likely to be effective regardless of grade levels, subject areas, and school locations.

• International Journal of Advanced Culture Technology
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• 제9권4호
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• pp.302-306
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• 2021

Indoor localization is one of the basic elements of Location-Based Service, such as indoor navigation, location-based precision marketing, spatial recognition of robotics, augmented reality, and mixed reality. We propose a Voxel Labeling-based visual positioning system using object simultaneous localization and mapping (SLAM). Our method is a method of determining a location through single image 3D cuboid object detection and object SLAM for indoor navigation, then mapping to create an indoor map, addressing it with voxels, and matching with a defined space. First, high-quality cuboids are created from sampling 2D bounding boxes and vanishing points for single image object detection. And after jointly optimizing the poses of cameras, objects, and points, it is a Visual Positioning System (VPS) through matching with the pose information of the object in the voxel database. Our method provided the spatial information needed to the user with improved location accuracy and direction estimation.

• 반도체디스플레이기술학회지
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• 제23권1호
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• pp.19-24
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• 2024

It is not an exaggeration to say that a single fire causes a lot of damage, so fires are one of the disaster situations that must be alerted as soon as possible. Various technologies have been utilized so far because preventing and detecting fires can never be completely accomplished with individual human efforts. Recently, deep learning technology has been developed, and fire detection systems using object detection neural networks are being actively studied. In this paper, we propose a new fire detection system that improves the previously studied fire detection system. We train the YOLOv8 model using refined datasets through improved labeling methods, derive results, and demonstrate the superiority of the proposed system by comparing it with the results of previous studies.