• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.520-528
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• 2017

In this paper, we analyze semantics on mudras of Sahasra-bhuja Avalokitesvara and implement visual content as its application. The mudras are described in the Odaejineunjib that is a tangible cultural property. The semantics analysis on the mudras are essential for understanding the meaning of the 42 Hands(mudras) that present symbolic difference of hands holding on various items. So, in this paper, we analyze the semantics on the 42 Hands according to 5 parts which are basic classification of Honored Ones on Esoteric Buddhism. We implemented a visual contents showing Avalokitesvara according to semantics on the 42 Hands. And, in the process, we are able to provide the public with easy accessibility on mudras of Sahasra-bhuja Avalokitesvara. Applications of the mudras are as follows; game contents, traditional cultural contents, etc.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.5
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• pp.897-904
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• 2022

Sports video is a very critical information resource. High-precision extraction of effective segments in sports video can better assist coaches in analyzing the player's actions in the video, and enable users to more intuitively appreciate the player's hitting action. Aiming at the shortcomings of the current sports video clip extraction results, such as strong subjectivity, large workload and low efficiency, a classification method of sports video clips based on MobileNetV3 is proposed to save user time. Experiments evaluate the effectiveness of effective segment extraction. Among the extracted segments, the effective proportion is 97.0%, indicating that the effective segment extraction results are good, and it can lay the foundation for the construction of the subsequent badminton action metadata video dataset.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.4
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• pp.693-700
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• 2023

Sentiment analysis, a branch of natural language processing that classifies and identifies subjective opinions and emotions in text documents as positive or negative, can be used for various promotions and services through customer preference analysis. To this end, recent research has been conducted utilizing various techniques in machine learning and deep learning. In this study, we propose an optimal language model by comparing the accuracy of sentiment analysis for movie, product, and game reviews using existing RNN-based models and recent Transformer-based language models. In our experiments, LMKorBERT and GPT3 showed relatively good accuracy among the models pre-trained on the Korean corpus.

• International Journal of Computer Science & Network Security
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• v.24 no.7
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• pp.157-169
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• 2024

The article presents an analysis of innovative teaching technologies as a way to increase students' competitiveness. The author found that innovative technologies in education are information and communication technologies relying on computer-based learning. The structure, content of educational software, organization of Web-space are important when using innovative teaching technologies in English classes. We conducted the study in several stages: comparative analysis, synthesis, classification and systematization of the results of psychological and pedagogical, educational and methodological research; study of legislative acts, periodicals in order to identify the state of the research issue, and determining the directions of its solution, as well as subject, goal and objectives of the study. We used modelling to create situations of foreign language professional communication of future IT specialists. Empirical methods involved questionnaires used for identifying the motives of professional development and determining the features of the educational activities of future IT specialists in the process of training. The methods of mathematical statistics allowed to scientifically describe and systematize the obtained data, to identify the quantitative relationship between the studied phenomena, to analyse and summarize the results. We conducted a socio-psychological study during 2016 - 2019. It involved 255 first- and fourth-year students of National Technical University of Ukraine "Igor Sikorsky Kyiv Poly-technic Institute." Innovative information and communication technologies that improve the educational and cognitive activity of students, as well as increase the level of their knowledge have become important in teaching a foreign language in higher educational institutions. These technologies include MOODLE - Modular Object-Oriented Dynamic Learning Environment, business game, integrated pedagogical technology, case study technology. Thus, the information-rich learning process in combination with the use of innovative technologies, well-organized e-learning, interactive training courses, multimedia tools improves the program of teaching and learning foreign languages in general, and English in particular, improves the level of knowledge of future IT specialists and motivation to study and learn foreign languages, allows students to use a variety of authentic materials. We state that all these factors influence the process of individualization of learning and contribute to the successful mastery of a foreign language.

• Journal of Nutrition and Health
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• v.48 no.2
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• pp.180-191
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• 2015

Purpose: There is a lack of data on the energy cost of children's everyday activities, adult values are often used as surrogates. In addition, the influence of body weight on the energy cost of activity when expressed as metabolic equivalents (METs) has not been vigorously explored. Methods: In this study 20 elementary school students 9~12 years of age completed 18 various physical activities while energy expenditure was measured continuously using a portable telemetry gas exchange system ($K_4b^2$, Cosmed, Rome, Italy). Results: The average age was 10.4 years and the average height and weight was 145.1 cm and 43.6 kg, respectively. Oxygen consumption ($VO_2$), energy expenditure and METs at the time of resting of the subjects were 5.41 mL/kg/min, 1.44 kcal/kg/h, and 1.5 METs, respectively. METs values by 18 physical activities were as follows: Homework and reading books (1.6 METs), playing game with a mobile phone or video while sitting (1.6 METs), watching TV while sitting on a comfortable chair (1.7 METs), playing video game or mobile phone game while standing (1.9 METs), sweeping a room with a broom (2.7 METs) and playing a board game (2.8 METs) belong to light intensity physical activities. By contrary, speedy walking and running were 6.6 and 6.7 METs, respectively, which belong to high intensity physical activities over 6.0 METs. When the effect of body weight on physical activity energy expenditure was determined, $R^2$ values increased with 0.116 (playing a game at sitting), 0.176 (climbing up and down stairs), 0.246 (slow walking), and 0.455 (running), which showed that higher activity intensity increased explanation power of body weight on METs value. Conclusion: This study is important for direct evaluation of energy expenditure by physical activities of children, and it could be used directly for revising and complementing the existing activity classification table to fit for children.

• Science of Emotion and Sensibility
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• v.21 no.3
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• pp.73-82
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• 2018

Attempts have been made to recognize social emotion, including competition-cooperation, while designing interaction in work places. This study aimed to determine the cardiac response associated with classifying competition-cooperation of social emotion. Sixty students from Sangmyung University participated in the study and were asked to play a pattern game to experience the social emotion associated with competition and cooperation. Electrocardiograms were measured during the task and were analyzed to obtain time domain indicators, such as RRI, SDNN, and pNN50, and frequency domain indicators, such as VLF, LF, HF, VLF/HF, LF/HF, lnVLF, lnLF, lnHF, and lnVLF/lnHF. The significance of classifying social emotions was assessed using an independent t-test. The rule-base for the classification was determined using significant parameters of 30 participants and verified from data obtained from another 30 participants. As a result, 91.67% participants were correctly classified. This study proposes a new method of classifying social emotions of competition and cooperation and provides objective data for designing social interaction.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.148-156
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• 2018

This study focuses on the play aspect of the existing digital games and VR games as part of a basic research for facilitating discussion on VR games. As a method for this research, the play aspect of digital games was classified based on the play theory by Johan Huizinga and Roger Caillois, followed by examination on the play characteristics of VR games according to the established classification. As a result, VR games share a significant portion of play characteristics with digital games. Nevertheless, in VR games the player is allowed unimpeded physical activity while having the HMD on and complete disconnection from the real world via new input/output devices. In the end, the transformation of play environment results in various sensory stimulation, and in turn influences the player's experiences in areas such as presence, immersion, emotional enjoyment and satisfaction. This study is expected to serve as an important indicator for studies on the characteristics of VR contents which is certain to develop in a wide range of directions in the future.

• Journal of Advanced Navigation Technology
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• v.21 no.2
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• pp.200-205
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• 2017

Modern sports are developing into sports science that incorporates science and various analytical simulation systems for improving records are being developed, and they are helping to improve actual game records. Therefore golf which is one of various sports events, has been popularized among the hobbyists and the general public and there is an increasing demand for correcting the movement attitude of the person. In response to these demands, many systems have been developed to analyze and correct golf swing postures. The golf swing accuracy analysis system analyzes the moments that can not be seen with the naked eye and guides them to understand easily. It can improve the golf swing motion through immediate feedback due to the visual effect. Using the knowledge of golf swing motion collected from golf swing video, we improved reliability. In addition, it provides the ability to visually check and analyze your golf swing video, allowing you to analyze each segment based on various golf swing classification methods.

• Journal of the Korea Society of Computer and Information
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• v.17 no.10
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• pp.25-33
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• 2012

In this paper, we propose a rule-based model to correct errors in a speech recognition result in the mobile device environment. The proposed model considers the mobile device environment with limited resources such as processing time and memory, as follows. In order to minimize the error correction processing time, the proposed model removes some processing steps such as morphological analysis and the composition and decomposition of syllable. Also, the proposed model utilizes the longest match rule selection method to generate one error correction candidate per point, assumed that an error occurs. For the purpose of deploying memory resource, the proposed model uses neither the Eojeol dictionary nor the morphological analyzer, and stores a combined rule list without any classification. Considering the modification and maintenance of the proposed model, the error correction rules are automatically extracted from a training corpus. Experimental results show that the proposed model improves 5.27% on the precision and 5.60% on the recall based on Eojoel unit for the speech recognition result.

• Journal of the Korean Society of Costume
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• v.60 no.5
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• pp.35-50
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• 2010

The purpose of this study was to know how helmet and armor was reinterpreted in historical play by considering general concept and type of old helmet and armor from the aspect of costume history and comparing the helmet and armor types of TV historical plays, Yeongaesomun and Taewangsasingi, whose historical backgrounds were based on the age of Goguryeo. The helmet and armor type shown in Yeongaesomun was reinterpreted as the one, which is close to historical investigation, by reappearing lamellar armor and jongjangpanju(helmet made of slim, long plate) shown in Goguryeo wall painting. The helmet and armor type shown in Taewangsasingi expresses fantastic helmet and armor by adding fantastic factor regardless of historical investigation. The study result reveals that there are several common characteristic factors between the helmet and armors of two historical plays. First, there was a classification in the display of character and story. The helmet and armor type shown in Yeongaesomun classified color and detail design depending on lamellar armor or character. In Taewangsasingi, the helmet and armor was manufactured depending on character's nature and the chain armors, which are lighter than existing helmet and armors, were usual. Second, they escaped from the historical investigation about traditional helmet and armor. In Yeongaesomun, myeonggwangae(a type of armor), which might be popular, was not expressed and Taewangsasingi is free from an imperative idea of historical investigation by manufacturing helmet and armor referring to that of ancient Rome age. The modern sense was reflected to increase dramatic effect. The helmet and armor of Yeongaesomun provides modern feeling by using stainless steel material and modern color arrangement and that of Taewangsasingi is designed in modern, splendid way as it aimed at game development from the planning step.