• Journal of the Korea Computer Graphics Society
• /
• v.22 no.3
• /
• pp.43-52
• /
• 2016

This paper is to study techniques of a virtual reality to maximize the depth of the users' immersion based on differentiated interactive contents using korean traditional fairy tale. In order to increase more interests in korean traditional fairy tale, we produce a interactive 3D contents and propose a new approach to a system designing applying a virtual realities such as HMD, Leap motion. First, using Korean traditional fairy tale, we generate interactive contents consisting of scenes intensifying user's tensions while interaction of game process. Based on the interactive contents generated, we design scene generation using Oculus HMD, the gaze based input processes and a hand interface using Leap motion, in order to provide a multi dimensional scene transmission and an input process method to intensify the sense of the reality. We will verify through diverse tests whether the proposed virtual reality contents based on a technique of an input process will actually intensify the immersion in the virtual reality or not while minimizing the motion sickness of the users.

• 한국HCI학회:학술대회논문집
• /
• 2006.02a
• /
• pp.1099-1106
• /
• 2006

정신질환자들은 자기감정을 표현하는 능력의 결손을 보인다. 이러한 자기 감정표현기술은 정신질환자들을 위한 사회기술훈련 (Social Skill Training) 과정 중 하나로서 정상적인 사회생활로의 복귀를 위해 반드시 필요하다. 지금까지의 자기감정표현 훈련 및 평가 방법은 치료자 능력의 차이에 따른 주관적 판단이 개입될 수 있다는 문제점을 가지고 있다. 가상현실 (Virtual Reality)은 컴퓨터를 이용한 최신의 방법으로, 최근 자폐증이나 공포증 등의 정신질환 분야에도 적용되고 있다. VR 을 사용하면 상호작용을 할 수 있고, 다양한 환경과 자극을 제시할 수 있으며, 3 차원 랜더링을 통해 몰입감을 제공할 수 있다. 또한 저장된 파라미터들을 바탕으로 객관적 판단을 할 수 있는 기준을 제시할 수 있으며, 안전하고 시간과 공간적 제약이 적은 환경 내에서 과제를 수행할 수 있다. 이에 본 연구에서는 자기감정표현기술의 객관적 평가를 위한 가상현실 시스템을 개발하고 정신분열증 환자와 정상인을 대상으로 실험을 진행하였다. 가상현실은 크게 긍정적 상황과 부정적 상황으로 이루어 지는데 집, 카페, 빵집, 길거리 등 다양한 환경에서 가족, 친구, 직장동료 등의 아바타가 실험 참가자에게 말을 건네고 참가자는 적절한 시기에 자신의 감정표현을 하도록 구성하였다. 실험을 하면서 정서 (긍정적 상황 Vs. 부정적 상황)에 따른 자기감정표현에 대한 파라미터로서 아바타가 말하는 동안 참가자가 아바타의 말에 주목을 하는 정도 (아바타가 말하는 동안 참가자가 아바타의 얼굴을 쳐다보는 시간)와 자기감정을 표현을 하는 시간 (아바타의 말이 끝난 후 감정표현을 시작하는 시간과 감정표현시간)과 상대방 아바타를 주목하는 정도 (참가자가 자기감정을 표현하는 중 아바타를 쳐다보는 시간) 등을 측정하였다. 측정결과 정상인이 정신분열병 환자에 비해 아바타를 주목하는 시간이나 자기감정표현을 하는 시간이 더 긴 경향이 있었다. 또한 부정적 상황에서 정신분열병 환자와 정상인 모두가 긍정적 상황에 비해 말하는 아바타에 더 잘 주목하였고, 자기감정을 표현하는 시간도 더 긴 것을 확인 하였다. 따라서 본 연구에서 도출된 파라미터는 실험 참가자의 자기감정표현의 정도를 객관적으로 나타낼 수 있을 것으로 생각된다. 또한 정신분열병 환자의 자기 감정표현능력을 측정하는 도구로 사용될 수 있을 것으로 생각된다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.11 no.2
• /
• pp.35-48
• /
• 2016

Individual characteristics and entrepreneurship are important factors to determine entrepreneurial intentions. Despite this, little attention has been given to external factors, which effects to venture start-up decision. This study examines the relationship between individual characteristics and entrepreneurship by moderating effect of Hofstede's cultures dimensions theory. For this, 244 copies of the questionnaire were empirically analyzed. According to the results of analysis, internal locus of control, self-efficacy were found to have positive effects on autonomy, innovativeness, pro-activeness. In addition, uncertainty avoidance of Hofstede's cultures dimensions theory were found the moderating effects on entrepreneurship and entrepreneurial intentions. Therefore, this study suggests theoretical and practical implications, as below, according to the results. Firstly, pro-activeness take a important part on venture start-up. Thus, venture start-up institution and venture managers need to develop "venture education curriculum" that fostering the pro-activeness mind of entrepreneur. Secondly, In order to anticipate entrepreneurial intentions more precisely, analyzing the interaction between environmental variables and individual variables is desirable. Lastly, in the future study of entrepreneurship, the comprehensive analysis of correlation between the factors that including three factors of entrepreneurship is need to be conducted and more effective way of readdressing the entrepreneurship is necessary.

• Journal of Science and Technology Studies
• /
• v.17 no.1
• /
• pp.5-39
• /
• 2017

In March 2016, the computer Go program, AlphaGo, defeated Sedol Lee, a Korean professional Go player of 9-dan rank. This victory by AlphaGo shows the rise in popularity of artificial intelligence (AI). Not only was this game a testament to machine performance, it was the type of game that extended the Turing test. When the interrogator cannot differentiate between human being and machine, the machine has passed the test. This article examines the interactions between AI and human beings and studies the social nature of intelligence through the AlphaGo case. Collins insists that knowledge or intelligence is social and embodied, and the interrogators in the Turing test can identify the difference between native members and non-members through their knowledge only. Applying this concept, AlphaGo, as subject A of this test, fulfilled its role of stirring up the classical "truth of human." Meanwhile, Lee as subject B, played to speak the truth by revealing his own qualities. Here, it is also important role that interrogators judge what it is. Many spectators, as interrogators, have intervened to confirm the border between human beings and machines by using their embodied and social knowledge.

• Journal of The Korean Association For Science Education
• /
• v.37 no.1
• /
• pp.169-179
• /
• 2017

The aim of this study is to see school science education from the perspective of CoP (Community of Practice) and to explore the possibility of strategic CoP in Korean school settings. To do this, we conducted a survey using SCaCoP instrument with more than 1600 students from 14 science core schools (SCSs), which were selected across the country, and analyzed their school curriculum, which can be summarized as follows: First, compared to other tracks in SCSs, like the Nature and the Humanity Classes, students of the Science Core Class (SCC) showed significantly higher scores of CoP features for all five factors of SCaCoP (i.e. responsibility of learning, common interest, mutual relationship, open participation, and practice). Second, students of SCC considered activities that require interaction and collaboration among community members (like experiments, hands-on activities, club activities, project works, R&E) to be very positive. Third, SCC students thought that the educational activities of SCSs were not only effective to CoP aims (i.e. self-driven learning, sharing learning outcomes, peer collaboration) but also positive to general aims of science education (i.e. acquiring knowledge, understanding scientific concepts, science-related attitudes). In other words, it appears that educational activities that were effective in vitalizing the CoP have positive effects on ordinary science education, too. These features of SCSs illustrate its possibility of forming strategic COPs in the context of often government-driven Korean education and of bringing in the innovations of school science education.

• Analytical Science and Technology
• /
• v.24 no.6
• /
• pp.533-543
• /
• 2011

The hERG (human ether-a-go-go related gene) ion channel is a main factor for cardiac repolarization, and the blockade of this channel could induce arrhythmia and sudden death. Therefore, potential hERG ion channel inhibitors are now a primary concern in the drug discovery process, and lots of efforts are focused on the minimizing the cardiotoxic side effect. In this study, $IC_{50}$ data of 202 organic compounds in HEK (human embryonic kidney) cell from literatures were used to develop predictive 2D-QSAR model. Multiple linear regression (MLR), Support Vector Machine (SVM), and artificial neural network (ANN) were utilized to predict inhibition concentration of hERG ion channel as machine learning methods. Population based-forward selection method with cross-validation procedure was combined with each learning method and used to select best subset descriptors for each learning algorithm. The best model was ANN model based on 14 descriptors ($R^2_{CV}$=0.617, RMSECV=0.762, MAECV=0.583) and the MLR model could describe the structural characteristics of inhibitors and interaction with hERG receptors. The validation of QSAR models was evaluated through the 5-fold cross-validation and Y-scrambling test.

• Analytical Science and Technology
• /
• v.24 no.6
• /
• pp.544-555
• /
• 2011

The acute toxicity in the rainbow trout (Oncorhynchus mykiss) was analyzed and predicted using quantitative structure-activity relationships (QSAR). The aquatic toxicity, 96h $LC_{50}$ (median lethal concentration) of 275 organic pesticides, was obtained from EU-funded project DEMETRA. Prediction models were derived from 558 2D molecular descriptors, calculated in PreADMET. The linear (multiple linear regression) and nonlinear (support vector machine and artificial neural network) learning methods were optimized by taking into account the statistical parameters between the experimental and predicted p$LC_{50}$. After preprocessing, population based forward selection were used to select the best subsets of descriptors in the learning methods including 5-fold cross-validation procedure. The support vector machine model was used as the best model ($R^2_{CV}$=0.677, RMSECV=0.887, MSECV=0.674) and also correctly classified 87% for the training set according to EU regulation criteria. The MLR model could describe the structural characteristics of toxic chemicals and interaction with lipid membrane of fish. All the developed models were validated by 5 fold cross-validation and Y-scrambling test.

• Journal of the Korean earth science society
• /
• v.28 no.7
• /
• pp.857-870
• /
• 2007

The structure and evolution of a thunderstorm outflow in two dimensions with no environmental wind are investigated using a cloud-resolving model with explicit liquid-ice phase microphysical processes (ARPS: Advanced Regional Prediction System). The turbulence structure of the outflow is explicitly resolved with a high-resolution grid size of 50m. The simulated single-cell storm and its associated Kelvin-Helmholtz (KH) billows are found to have the lift stages of development maturity, and decay. The secondary pulsation and splitting of convective cells resulted from interactions between cloud dynamics and microphysics are observed. The cooled downdrafts caused by the evaporation of rain and hail in the relatively dry lower atmosphere result in thunderstorm cold-air outflow. The outflow head propagates with almost constant speed. The KH billows formed by the KH instability cause turbulence mixing from the top of the outflow and control the structure of the outflow. Ihe KH billows are initiated at the outflow head, and pow and decay as moving rearward relative to the gust front. The numerical simulation results of the ratio of the horizontal wavelength of the fastest growing perturbation to the critical shear-layer depth and the ratio of the horizontal wavelength of the billow to its maximum amplitude are matched well with the results of other studies.

• Journal of Applied Biological Chemistry
• /
• v.53 no.4
• /
• pp.225-231
• /
• 2010

To understand the inhibitory activity with changing hydroxyl substituents ($R_l-R_9$) of polyhydroxy substituted 2-phenyl-l,4-benzopyrone analogues (1-25) against tyrosinase (PDB ID: oxy-form; 1WX2), molecular docking and the three dimensional quantitative structure-activity relationships (3D-QSARs: Comparative molecular field analysis (CoMFA) & Comparative molecular similarity indices analysis (CoMSIA)) were studied quantitatively. The statistically best models were CoMFA 1 and CoMSIA 1 model from the results. The optimized CoMSIA 1 model with the sensitivity of the perturbation and the prediction produced ($dq^2'/dr_{yy'}^2$=1.009 & $q^2$=0.51l) by a progressive scrambling analysis were not dependent on chance correlation. The inhibitory activities with optimized CoMSIA 1 model were dependent upon electrostatic factor (51.4%) of substrate molecules. Contour mapping the 3D-QSAR models to the active site of tyrosinase provides new insight into the interaction between tyrosinase as receptor and 2-phenyl-l,4-benzopyrone analogues as inhibitor. Therefore, the results will he able to apply to the optimization of a new potent tyrosinase inhibitors.

• Journal of the Korean Society for information Management
• /
• v.33 no.4
• /
• pp.7-26
• /
• 2016

The present study aimed at investigating the strengths and weaknesses of a mobile personal health record (PHR) application and identifying its impacts on consumer health information behavior. For the study, twenty-seven college students used a PHR application for three months, based on which the study conducted paper-based interviews with them. The results of content analysis highlighted the benefits of the PHR such as supporting preventive healthcare and motivating and providing specific guidelines for healthy lifestyles by utilizing visual interface design, sharing the data with family and assisting caregivers to manage patients' healthcare, and above all enhancing the interaction between patients and healthcare professionals. However, the study found the drawbacks of the PHR such as a lack of data entry for strength training and the incompatibility with other healthcare applications. The participants were motivated to change their health behaviors in ways such as getting rid of sleep disorders, avoiding alcohol and smoking tobacco, and losing weight, and changing eating habits. Some consumers improved self-efficacy by changing their health behaviors, while the PHR provided emotional supports to the consumers who wanted to improve their health. The present study has an academic significance because the study of PHR is a burgeoning area in Korea. The study provides insights for promoting health and medical information services to cope with the paradigm shift of healthcare fields.