• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.1128-1131
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• 2021

COVID-19로 인한 홈 쿠킹 시장 수요 증가로 사람들은 더 편리한 요리 보조 시스템을 필요로 하고 있다. 기존 요리 시스템은 휴대폰, 책을 통해 레시피를 일방적으로 제공하기 때문에 사용자가 요리과정을 중단하고 반복적으로 열람해야 한다는 한계점을 가진다. '대화형 스마트 쿠킹 서비스' 시스템은 요리 과정 전반에서 필요한 내용을 사용자와 상호작용하며 적절하게 인지하고 알려주는 인공지능 시스템이다. Google의 MediaPipe를 사용해 사용자의 관절을 인식하고 모델을 학습시켜 사용자의 요리 동작을 인식하도록 설계했으며, dialogflow를 이용한 챗봇 기능을 통해 필요한 재료, 다음 단계 등의 내용을 실시간으로 제시한다. 또한 실시간 행동 인식으로 요리과정 중 화재, 베임 사고 등의 위험 상황을 감지하여 사용자에게 정보를 전달해줌으로써 사고를 예방한다. 음성인식을 통해 시스템과 사용자 간의 쌍방향적 소통을 가능하게 했고, 음성으로 화면을 제어함으로써 요리과정에서의 불필요한 디스플레이 터치를 방지해 위생적인 요리 환경을 제공한다.

• Journal of the Korea Computer Graphics Society
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• v.24 no.3
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• pp.101-109
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• 2018

Recently, the improvement of virtual reality and augmented reality technologies leverages many new technologies like the virtual study room, virtual architecture room. Such virtual worlds require free handed drawing technology such as writing descriptions of formula or drawing blue print of buildings. In nature, lots of view point modifications occur when we walk around inside the virtual world. Especially, we often look some objects from near to far distance in the virtual world. Traditional drawing methods like using fixed size image for drawing unit is not produce acceptable result because they generate blurred and jaggy result as view distance varying. We propose a novel method which robust to the environment that produce lots of magnifications and minimizations like the virtual reality world. We implemented our algorithm both two dimensional and three dimensional devices. Our algorithm does not produce any artifacts, jaggy or blurred result regardless of scaling factor.

• Journal of The Korean Association of Information Education
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• v.25 no.4
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• pp.621-632
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• 2021

This study is about development and application of a curriculum to implement physical computing education in an online environment for pre-service teachers. First, a 15-week software and physical computing curriculum was designed according to the ADDIE instructional design model. As a tool that can be used online, education was conducted on a program using various sensors using Pocket Code, an EPL based on a smartphone. As a result of the application of the program, Personal efficacy, Pedagogical knowledge, Technology teaching content knowledge, Result expectation, and Student belief were all significantly improved. In the software attitude part, Software interest and Software value part increased significantly, and the Perception of software engineers did not change. In general, in the case of physical computing, it is difficult to execute in an online environment because it involves a lot of manipulation activity. Through various studies that can continue education in a non-face-to-face environment or a blended environment in the post-corona era, it is hoped that it will be possible to provide a high-quality curriculum to pre-service teachers in charge of future education.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.413-421
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• 2013

We, currently settled on the peninsula, have a long history and our ancestors lived over the vast land further to the central Asia and northern China. Normally, our ancestors traded with many countries, but they fought battles when they were on bad terms and many countries emerged and disappeared. In this history, a variety of cultures have been established and the traditional martial arts is a part of those cultures. Our martial arts has been almost severed because of the development of fire weapons in the late Chosun Dynasty, Japan's colonial rule, and 1950-53 Korean War. Fortunately, we can study the traditional martial arts from history books, the records on the martial art books and relics. Muyeadobotongji, the martial art book published in the late Chosun Dynasty, regrets the negligence of martial arts Giyae(arts) after Japanese Invasion of Korea in 1592 and the Manchu war of 1636 and accommodated the martial art skills from Chosun, China and Japan. It is useful for studying martial arts, because it contains detailed description and drawings, clothes and accessories, and the specification of the weapons. However, the problem is the level of Giyae of the martial arts organization and individuals based on Muyeadobotongji vary and some organizations are arguing about the numbers.

• Journal of the Korea Society of Computer and Information
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• v.15 no.12
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• pp.163-173
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• 2010

PKI(Public Key Infrastructure)-based information certification technology has some limitations to be universally applied to mobile banking services, using smart phones, since PKI is dependent on the specific kind of web browser, Internet Explorer. OTP(One Time Password) is considered to be a substitute or complementary service of PKI, but it still shows low acceptance rate. Therefore, in this research, we analyze why OTP has not been very popular, and provide useful implications of making OTP more extensively and frequently used in the mobile environment. Perceived security of OTP was set as a higher-order construct of integrity, confidentiality, authentication, and non-repudiation. Research findings show that security awareness and perceived security of OTP is positively associated, and the relationship between perceived security and trust on OTP is statistically significant. Also, trust is positively related to intention to use OTP continuously.

• Journal of KIISE
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• v.43 no.11
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• pp.1307-1314
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• 2016

Virtual Hangul keyboards like Chun-Ji-In, Narat-Gul, and QWERTY are based on eyesight recognition, in which input letter positions are fixed in the smartphone environment. The input method of a fixed-position style is not very convenient for visually impaired individuals. In order to resolve the issue of inconvenience of the Hangul input system, we propose a new paradigm of the finger-touch based Hangul input system that does not need eyesight recognition of input buttons. For the convenience of learning the touch-motion based keyboard, finger touches are designed by considering the shape and frequencies of Hangul vowels and consonants together with the preference of fingers. The base position is decided by the first touch of the screen, and the finger-touch keyboard is used in the same way for all the other touch-style devices, regardless of the differences in size and operation system. In this input method, unique finger-touch motions are assigned for Hangul letters that significantly reduce the input errors.

• Journal of Korean Society of Forest Science
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• v.110 no.2
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• pp.155-164
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• 2021

Many studies have been conducted on developing automatic plant identification algorithms using machine learning to various plant features, such as leaves and flowers. Unlike other plant characteristics, barks show only little change regardless of the season and are maintained for a long period. Nevertheless, barks show a complex shape with a large variation depending on the environment, and there are insufficient materials that can be utilized to train algorithms. Here, in addition to the previously published bark image dataset, BarkNet v.1.0, images of barks were collected, and a dataset consisting of 53 tree species that can be easily observed in Korea was presented. A convolutional neural network (CNN) was trained and tested on the dataset, and the factors that interfere with the model's performance were identified. For CNN architecture, VGG-16 and 19 were utilized. As a result, VGG-16 achieved 90.41% and VGG-19 achieved 92.62% accuracy. When tested on new tree images that do not exist in the original dataset but belong to the same genus or family, it was confirmed that more than 80% of cases were successfully identified as the same genus or family. Meanwhile, it was found that the model tended to misclassify when there were distracting features in the image, including leaves, mosses, and knots. In these cases, we propose that random cropping and classification by majority votes are valid for improving possible errors in training and inferences.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.149-155
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• 2020

The Korea Highway Traffic Authority provides statistics that analyze the causes of traffic accidents that occurred since 2015 using the Traffic Accident Analysis System (TAAS). it was reported Through TAAS that the driver's forward carelessness was the main cause of traffic accidents in 2018. As statistics on the cause of traffic accidents, 51.2 percent used mobile phones and watched DMB while driving, 14 percent did not secure safe distance, and 3.6 percent violated their duty to protect pedestrians, representing a total of 68.8 percent. In this paper, we propose a system that has improved the advanced driver assistance system ADAS (Advanced Driver Assistance Systems) by utilizing CNN (Convolutional Neural Network) among the algorithms of Deep Learning. The proposed system learns a model that classifies the movement of the driver's face and eyes using Conv2D techniques which are mainly used for Image processing, while recognizing and detecting objects around the vehicle with cameras attached to the front of the vehicle to recognize the driving environment. Then, using the learned visual steering model and driving environment data, the hazard is classified and detected in three stages, depending on the driver's view and driving environment to assist the driver with the forward and blind spots.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.185-190
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• 2018

In the recent field of education, they open career-related curriculums either as formal curricular programs or extracurricular programs as highlighting value of career education. However, this lecture-based career education has failed to attract students' interest, and results are not satisfactory either. Since then, in order to design entertaining career education, the field has developed diverse tools and as a vocational aptitude testing tool for career development, methods that would use vocational cards were introduced. Today, schools from elementary school to middle and high schools frequently make use of the cards to conduct the vocational aptitude test and yet, as this web-based learning and smartphones are distributed, changes in the testing tool are being intensely demanded. This study aims to create and implement an application to help the vocational cards-using vocational aptitude test targeting students in elementary, middle and high schools to be actually conducted in a mobile platform.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.241-246
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• 2011

There are many discussions nowadays about utilizing smartphones to create a mobile computing educational environment. The purpose of this study is to develope an application which addresses the growing importance of mental arithmetic maps in lower elementary grades. Considering current theories on developmental characteristics for the target levels I decided that a gesture based input interface increase the users concentration and interest. Students using this application will learn and reinforce the basics of the addition, subtraction, multiplication, and division of natural numbers. By removing the limitations of time and space as afforded by the convenience of a smartphone and utilizing a gesture based input interface we can combine an application which increases users mental arithmetic speed and precision with the enjoyment of a game.