Zoom has been most popularly used as a non-face-to-face online class tool since COVID19, but due to the recent spread of the metaverse, the use of the metaverse platform is increasing. In particular, since a metaverse platform 'Spatial' provides online classroom creation and various learning functions, and various interactions between instructors and learners or learners and learners are possible, it is highly likely to be used in university classes. Since Zoom and Spatial each have their own strengths and weaknesses for the purpose of class use, it is necessary to find out the strengths and weaknesses of each by comparing and analyzing the learner's experience in class use. In this study, a quantitative analysis of usability, immersion, and satisfaction and a qualitative analysis of individual opinions were performed in order to compare and analyze the learner's experience. SUS (System Usability Scale) was used for usability evaluation, and Magnitude Estimation method was used for immersion and satisfaction evaluation. Thirty-five people who had participated in classes using Zoom and Spatial participated as subjects in this study. Zoom was higher than Spatial at the significance level of 0.05 in usability and satisfaction. On the other hand, the immersion in class was higher in Spatial than in Zoom. Since Spatial provides online classroom creation and various learning functions, and provides various interactions and fun elements between instructors and learners or learners and learners, the immersion in classes was high. If the user interface and interaction of Spatial are improved in the future, it is judged that it can be used as an effective online teaching tool that can replace zoom in university classes.
This study was intended to determine how developed Smart learning teaching-learning program on the unit of Solar system and Star affected on science-related attitude, science learning interest and academic achievement. The unit of Solar system and Star was selected among 5th grade science curriculum contents to design smart learning teaching-learning program. Smart learning instruction program utilized a various contents of smart equipment and made learners to do problem solving through their interaction and cooperation. The results of this study were as follows: First, smart learning instruction improved the science-related attitude and the science learning interest and the academic achievement of the experimental group students significantly. Sencond, the survey and the individual face-to-face data shows the positive effects of smart learning instruction. Especially, the satisfaction was high on the attitudes and interests in the classroom and the students regarded the classroom activities as interesting games by using the smart devices. On the basic of the conclusions, this work suggested the direction of the future studies, such as necessity of developments and researches on Smart learning teaching-learning program about other units or other subjects, such as measures of the increasing the intrinsic interest on science rather than Smart learning elicit simple interest and attitude.
This study was performed to analyze empowerment process of the disabled. Participants were 11 disabled college students and they were individually face-to-face in-depth interviewed until data were saturated. This study used the grounded theory approach based on Strauss and Corbin(1998). With the qualitative constant comparative analysis, 105 concepts, 22 subcategories, and 12 categories were generated. In the axial coding, a paradigm model was proposed as follows: The central phenomenon of the empowerment process of the disabled adolescents was 'Rising from the Limits'. The causal conditions were 'Just living' and 'realizing disabilities'. The contextual conditions were 'Being excluded', 'But wishing', and 'Breaking down'. The intervening conditions were 'Without giving up' and 'Taking support'. The action/interaction strategies were 'Grasping own lifestyle' and 'Being proactive'. The consequences were 'Acquiring the self-control', 'Getting generosity', and 'Participating in society'. In the selective coding, the core category was 'to live together stately with grasping own lifestyle pro-actively as the disabled'. Based on the core category, three types and 4 stages of the empowerment process of the disabled adolescents were found. The types were 'Social change oriented type', 'Self-development oriented type', and 'Passive effort oriented type' and the stages took 'Isolation stage', 'Rising stage', 'Mastering stage' and 'Stately being together stage'. In particular, this process had the circulation structure of which these 4 stages are not terminated, and developed and repeated. In conclusion, these results convey to us the understanding and knowledge about empowerment process of the disabled as their healthy -whole and unique- development process. And some implications and suggestions for the social work services and theories about the disabled focusing on the pre-adulthood period.
This study aims to survey the effectiveness of the international distance learning between Korean and Japanese university students. This research is based on NWCCDL (Namseoul-Waseda Cross-Cultural Distance Learning) project in the spring semester, 2015. This project is the cross-cultural distance learning project between N University in Korea and W University in Japan, and the most important thing of this project is that this project is manipulated through the utilization of ICT. This research consists with two parts: the first is to introduce the NWCCDL project; the participants' information, and the contents and procedure of the on-line chatting program, and BBS(Bulletin Board System) activities. The second is to review on the students' satisfaction for the project and the utilization of ICT in English language education context. The analytic results of the questionnaire includes the students' satisfaction on this project and their reflection on the effectiveness of using ICT in English language classroom of Korea. The results prove that the most of the students are satisfied with the NWCCDL Project in the spring semester, 2015 and the most of the students agree with the fact that the utilization of ICT is very effective in English language education of Korea.
A hydrogeomechanical numerical model is presented to evaluate rainfall impacts on groundwater flow in slopes and slope stability. This numerical model is developed based on the fully coupled poroelastic governing equations for groundwater flow in deforming variably saturated geologic media and the Galerkin finite element method. A series of numerical experiments using the model developed are then applied to an unsaturated slope under various rainfall rates. The numerical simulation results show that the overall hydromechanical slope stability deteriorates, and the potential failure nay initiate from the slope toe and propagate toward the slope crest as the rainfall rate increases. From the viewpoint of hydrogeology, the pressure head and hence the total hydraulic head increase as the rainfall rate increases. As a result, the groundwater table rises, the unsaturated zone reduces, the seepage face expands from the slope toe toward the slope crest, and the groundwater flow velocity increases along the seepage face. From the viewpoint of geomechanics, the horizontal displacement increases, and the vertical displacement decreases toward the slope toe as the rainfall rate increases. This may result from the buoyancy effect associated with the groundwater table rise as the rainfall rate increases. As a result, the overall deformation intensifies toward the slope toe, and the unstable zone, in which the factor of safety against shear failure is less than 1, becomes thicker near the slope toe and propagates from the slope toe toward the slope crest. The numerical simulation results also suggest that the potential tension failure is likely to occur within the slope between the potential shear failure surface and the ground surface.
Journal of Institute of Control, Robotics and Systems
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v.22
no.3
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pp.241-246
/
2016
Nowadays many people have an interest in facial expression and the behavior of people. These are human-robot interaction (HRI) researchers utilize digital image processing, pattern recognition and machine learning for their studies. Facial feature point detector algorithms are very important for face recognition, gaze tracking, expression, and emotion recognition. In this paper, a cascade facial feature point detector is used for finding facial feature points such as the eyes, nose and mouth. However, the detector has difficulty extracting the feature points from several images, because images have different conditions such as size, color, brightness, etc. Therefore, in this paper, we propose an algorithm using a modified cascade facial feature point detector using a convolutional neural network. The structure of the convolution neural network is based on LeNet-5 of Yann LeCun. For input data of the convolutional neural network, outputs from a cascade facial feature point detector that have color and gray images were used. The images were resized to $32{\times}32$. In addition, the gray images were made into the YUV format. The gray and color images are the basis for the convolution neural network. Then, we classified about 1,200 testing images that show subjects. This research found that the proposed method is more accurate than a cascade facial feature point detector, because the algorithm provides modified results from the cascade facial feature point detector.
Journal of the Korean Society of Clothing and Textiles
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v.30
no.2
s.150
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pp.316-325
/
2006
The colors of apparel are getting more important to give the differentiated character on fiber and fabrics. This study was to extract the favorable colors that become to facial color types. Research was carried out to classify the facial colors into several similar facial color groups. With JX-777, 2 points of face: forehead and cheek, were measured and classified into 3 facial color types. Sample size was 418 Korean adult males and other 15 of new males subjects. New chosen 3 subjects who had the classified facial color types, wore silver gown and black hat on his head to minimize the interaction of the clothe color an hair. The 40 standardized color samples were used to extract the favorable colors. 187 respondents answered the degree of becomingness of color samples on 3 facial color types. Data were analyzed by K-means cluster analysis, ANOVA and Duncan multiple range test using SPSS Win. 12. Findings were as follows: 1. 418 subjects who had YR colors were classified into 3 kinds of facial color groups. Type 1 was 4.59YR 5.89/5.12, Type 2 was 5.61 YR 5.41/4.79 and Type 3 was 4.38YR 6.49/4.89 respectively. 2. Favorable colors for Type 1 were 2 colors that belonged to ' a ' group from among colors that were divided into a, b, c group and 18 colors that belonged to ' a ' group from among colors that were divided into a, b group by Duncan post hoc test. 3. Type 2 showed that this type had many unfavorable colors. Unfavorable colors were 16 colors that belonged to ' c ' by Duncan test. 5. Favorable colors for Type 3 were 14 colors that belonged to ' a ' from among colors that were divided into a, b, c and 16 colors that belonged to ' a ' from among colors that were divided into a, b by Duncan test.
The purpose of this study was to investigate the differences and interaction effects in impression formation according to eyeglasses, earrings, hair length, and clothing color worn by woman in Her 20s. A quasi-experimental method was used for this study. The experimental design was a $3{\times}2{\times}2{\times}4$(eyeglasses${\times}$earrings${\times}$hair length${\times}$clothing color) factorial design. The model of stimulus photographs was a woman with an oval shape face in her late twenties. She wore a tailored collared jacket with a white dress shirt. The subjects were 362 female college students. First, the women wearing glasses were found to be more potent but gave more negative impressions in terms of loveliness, politeness, and attractiveness than the women without glasses. Second, the women wearing earrings were perceived to have higher individuality, attractiveness, potency, loveliness, and elegance than the women without earrings. Third, the women with short hair were evaluated to have higher individuality, potency, and elegance, and to have lower loveliness, politeness, and attractiveness than the women with long hair. Fourth, the red clothes were perceived to have the higher individuality, loveliness, and attractiveness than the dark red or grey clothes. The light grey clothes were considered as the most elegant and the dark grey clothes were shown to have low attractiveness. Fifth, the women wearing the horn-rimmed glasses with short hair were evaluated to have high individuality. The women wearing glasses with short hair were evaluated lower in loveliness than those with long hair. The women with short hair, wearing glasses without earrings were evaluated very low in attractiveness.
Demand response (DR) programs give opportunity to consumers to manage their electricity bills. Besides, distribution system operator (DSO) is interested in using DR programs to obtain technical and economic benefits for distribution network. Since small consumers have difficulties to individually take part in the electricity market, an entity named demand response provider (DRP) has been recently defined to aggregate the DR of small consumers. However, implementing DR programs face challenges to fairly allocate benefits and payments between DRP and DSO. This paper presents a procedure for modeling the interaction between DRP and DSO based on a bilevel programming model. Both DSO and DRP behave from their own viewpoint with different objective functions. On the one hand, DRP bids the potential of DR programs, which are load shifting and load curtailment, to maximize its expected profit and on the other hand, DSO purchases electric power from either the electricity market or DRP to supply its consumers by minimizing its overall cost. In the proposed bilevel programming approach, the upper level problem represents the DRP decisions, while the lower level problem represents the DSO behavior. The obtained bilevel programming problem (BPP) is converted into a single level optimizing problem using its Karush-Kuhn-Tucker (KKT) optimality conditions. Furthermore, point estimate method (PEM) is employed to model the uncertainties of the power demands and the electricity market prices. The efficiency of the presented model is verified through the case studies and analysis of the obtained results.
Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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v.6
no.11
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pp.519-528
/
2016
Most cultural contents currently we face are not suitable for associating with state of arts and high technology as simply providing one-sided learning. Pictures and movies of cultural contents also sees to utilize for efficacy of cultural education. There are still some limitations to draw interest from users when providing one-sided learning for cultural study, which aims to only deliver knowledge itself. In this paper, we propose interactive HMD VR cultural contents that can support more experience to get rid of aforementioned limitations. To this end, we first select quite interesting and wellknown cultural contents from world wide to draw more attention and effect. To increase immersion, presence and interactivity we have used HMD VR and Leapmotion, which intentionally draws more attention to increase interest. The cultural contents also facilitate augmented information as well as puzzle gaming components. To verify, we have carried out a user study as well.
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