• Journal of the Korean Geographical Society
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• v.47 no.6
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• pp.899-920
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• 2012

The purpose of this study is to examine and better understand student's perception of territory in the deterritorialized world. Students' sketch maps were analyzed to investigate the way of which they recognized the form of national territory, border, geographic location, and neighboring countries. In addition, students' values, attitudes, and affection for their homeland and other countries were observed through the awareness of North Korea, DMZ, and Dok-do island. Scrutinizing students' sketch maps and follow-up interviews provided much more in-depth context for understanding students' narratives about territorial identity than did the analysis of structured surveys since they can freely draw and sketch their cognition. A qualitative data analysis builded a code list with 67 codes generated from 626 quotations. These data were exported to CSV format to elicit and evaluate differential variances of territorial identity along with student's Social Studies score and Grade Point Average for inferential statistics and quantitative data analysis using SPSS. Based on the results of data analysis and discussion, some suggestions to build a model of territorial education and to develop teaching and learning materials in the domain of geography education were provided.

• Journal of Korea Game Society
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• v.15 no.4
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• pp.189-198
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• 2015

This paper is about a serious game controlled by EEG and motion capture. We developed our game for 2 users competitive and its method is as follows. One player uses a controlling interface using EEG signals based on the premise that the player's facial movements are a depiction of the player's emotion and intensity throughout the game play. The other player uses a controlling interface using kinect's motion capture technology which captures the player's vertical and lateral movements as well as state of running. The game shows the first player's EEG as a real-time graphic along the map on the game screen. The player will then be able to pace himself based on these visualization graphics of his brain activities. This results in higher concentration for the player throughout the game for a better score in the game. In addition, the second player will be able to improve his physical abilities since the game action is based on real movements from the player.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.611-612
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• 2017

Recently, exhibition space has incorporated a format in which visual contents providers and viewers can directly or indirectly experience the space with a sense of immersion. By offering more extended spatiality within a limited space, such exhibition design is now transcending physical limitations and expanding to visual reality; as such, exhibition design demands the implementation of not only visual elements but information services generated between people, contents, and objects. To this end, this study examines the changes and the development direction of exhibition techniques that use Internet of Things (IoT), which is a representation of environmental change in exhibition design of our times; it also explores the various forms of change based on the perception of the visual contents (visual exhibits) users during the act of accumulating and using information through the smartphone communication of viewers who experience the space through IoT. Finally, the study conducts a case study on the relationship between a regular exhibition and an exhibition design that makes use of IoT, in order to propose an exhibition design with which to verify whether the viewers are immersed in and experience a sense of realism from visual contents by identifying the viewers' visual and emotional changes.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.2
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• pp.213-218
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• 2013

One of the most popular approaches to parameter adaptation in hidden Markov model (HMM) based systems is the maximum likelihood linear regression (MLLR) technique. In our previous study, we proposed factored MLLR (FMLLR) where each MLLR parameter is defined as a function of a control vector. We presented a method to train the FMLLR parameters based on a general framework of the expectation-maximization (EM) algorithm. Using the proposed algorithm, supplementary information which cannot be included in the models is effectively reflected in the adaptation process. In this paper, we apply the FMLLR algorithm to a pitch sequence as well as spectrum parameters. In a series of experiments on artificial generation of expressive speech, we evaluate the performance of the FMLLR technique and also compare with other approaches to parameter adaptation in HMM-based speech synthesis.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.341-349
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• 2015

The critical thinking has become gradually important in nursing education for the era of convergence. The literature review was undertaken to identify the study trends of critical thinking in nursing education in Korea. 75studies from 1996 to 2014 were reviewed. The studies related to critical thinking were highly increased from 2006. The study design was identified descriptive studies to path model. The predictors to critical thinking were an academic system, age, interpersonal relationship, academic achievement, the duration of clinical practice, satisfaction on nursing, self-esteem, self-efficacy, learning methods and so on. The consequence variables were clinical practice stress, cognitive stress, the ability of problem-solving, clinical competency, emotion control, communication competence. It is necessary to develop education programs and curriculum based on evidence from the researches for increasing critical thinking.

• Journal of Digital Convergence
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• v.12 no.3
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• pp.377-382
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• 2014

Culture of Latin cultura culture derived from a translation of the original meaning of words was farming and cultivation, culture, art and later became the will of. British anthropologist E. B. Tyler book "primitive cultures, Primitive Culture" (1871) Culture in the "knowledge. Beliefs Arts. Morality. Law. Practices, including as a member of human society acquired the totality of skills or habits," he gave the definition. Culture can be seen in the human reason, of the form of action, not genetic thing by playing by learning to learn from the community and received the whole thing says. Thus, the prevalence of active cultural power of vigorous training is possible can. In this sense, our ceramic culture also reaffirming the importance of education and the reorganization is needed. Culture and what it takes to become a force larger than the act of teaching. Who supply the consumer with the culture and the sharing of feelings that can be read properly considering the skater to the consumer unless the formation of culture is impossible. In this regard, this study realized the importance of education and culture, as the current situation in our country and the activation of ceramic craft education is to provide.

• Korean Journal of Comparative Education
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• v.28 no.2
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• pp.77-95
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• 2018

This study introduces the Classroom Assessment Scoring System (CLASS) and explores the characteristics of CLASS for observing classroom. The CLASS is a standardized observation instrument that was largely developed for use in the USA. The CLASS attempts to provide a conceptual framework for categorizing classroom interactions and consists of three broad domains of quality (emotional supports, classroom organization, instructional supports). We simulated this method to the elementary school classes. The professional-teacher makes the best use of student's initiation behaviors, and the novice teacher focused on the leading the contents of subject. The novice teacher tyr to make more positive climate and to present more frequent feedback to students than professional teacher's classroom. The professional teacher would like to reveal the student's opinions, questions and subtle emotional state. The CLASS can be used to collect data on a wide range of specific aspects of the teaching and learning process at any given time.

• Trans-
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• v.9
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• pp.67-92
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• 2020

The development of social platforms and digital technology has promoted the age of the communication in our society. As online communication has become commonplace, expressing feelings, thoughts and experiences on the Internet has become an everyday routine. Among them, SNS is one of the representative platforms for expressing oneself easily and interacting with other users. The way of communicating with the SNS about what they did and what experiences they experienced from one's everyday lives became more common. As a result, the museum makes various efforts to enhance visitors' attention and interest with the use of SNS. It provides a content-based programs and museum environment that allow visitors to enjoy playing and learning at the same time. This study will explore not only a simple appreciation, but also the way of communicating to everyday life in terms of the changes for museum environment through the development, implementation and adaptations of digital technology. Through this, mobile-based communication with SNS provides various values and quality of museum visit, can be completed with meaningful museum experience, and various roles and functions of the museum are examined in terms of social platform of experience.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.5
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• pp.1-9
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• 2021

Children's drawings are widely used in the diagnosis of children's psychology as a means of expressing inner feelings. This paper proposes a children's drawings-based object detection algorithm applicable to children's psychology analysis. First, the sketch area from the picture was extracted and the data labeling process was also performed. Then, we trained and evaluated a Faster R-CNN based object detection model using the labeled datasets. Based on the detection results, information about the drawing's area, position, or color histogram is calculated to analyze primitive information about the drawings quickly and easily. The results of this paper show that Artificial Intelligence-based object detection algorithms were helpful in terms of psychological analysis using children's drawings.

• Journal of Convergence for Information Technology
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• v.9 no.8
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• pp.9-19
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• 2019

The effects of artificial intelligence technology is social science research as research on the impact on industry and changes in daily life, etc. This means that developing 'emotion AI' will prepare 'next-generation 3D-vector-sensitive AI'. This suggests the main keywords of the tertiary AI decision-making power. Particularly important results will be achieved because of the importance of current unethical learning and the implementation of decision-making systems that reflect ethical value judgments. This is a data based simulation, and required (1)Available data, (2)the technology for the goal of simulation. This takes into account the general content of the intended simulation based research. Currently, existing researches focus on meaningful research motivation, but this study presents the direction of technology. So, empirical analysis is consistent with the decision-making power of each country vs. new technology firms for AI on ehtic responsibility. As a result, there is a need for a concrete contribution and interpretation that can be achieved for the ethic Responsibility, on the technical side of AI / ML. In AI decision making, analytic power of human empathy should be included tech own trust.