• Journal of Digital Convergence
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• v.16 no.3
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• pp.429-438
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• 2018

Brad Bird, a screenwriter and animation director in the United States, criticized the situation in which most animations were produced and released for the children since the early 2000s. He said that animation is an art form capable of conveying messages not only to children but also to adults, and that their development potential is high. In this study, I analyzed overall components such as narrative structure, character, subplot, symbol, and foreshadow of Brad Bird's animated feature films , , and examined his narrative features and strategies. As a result, the narrative features of animation as an art form are as follows: First, conveying the message of a serious subject that will deeply sympathize with adults as well as children. Second, expressing the social agenda which criticizes the contradiction of the real world and the periodic mistakes. Third, solid narrative structure through a dense plot based on realistic situation setting. I hope that this study will be used as basic research material for various animation production in the future.

• Journal of The Korean Association For Science Education
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• v.32 no.5
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• pp.890-902
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• 2012

This study intended to analyze science-arts integration activities in science textbook and explore the artistic elements of science-art integrated activities. For this purpose, we selected science-arts integration activities in elementary science textbooks of Korea by revised curriculum in 2007. We analyzed them by the type, the function and the role of arts. The analysis of artistic element was based on 'design element' suggested by Baron & Eisner. Results revealed that the science-arts integration activities were using a visual art form than any other and the role of arts was mainly to apply science concepts. Through the artistic element analysis, we found that most activities were emphasized on 'empathic understanding' category than other categories. Based on the results, science-arts integration activities with more diverse form of art should be developed. Also the artistic element should be considered in developing future science-arts integration activities.

• Journal of Dental Anesthesia and Pain Medicine
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• v.20 no.4
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• pp.203-212
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• 2020

Background: This research evaluated the numbness produced by lignocaine at an equal or higher concentration than that of 4% articaine through a single point of injection for maxillary third molar surgery. This randomized double-blind study was conducted to compare the anesthetic efficiency of 4% lignocaine with that of 4% articaine in impacted maxillary third molar surgery using a single buccal infiltration alone. Methods: The study participants were 30 healthy patients requiring the bilateral surgical removal of symmetrically-positioned maxillary third molars. Using a split-mouth design, each patient randomly received buccal infiltration of 1.7 ml of 4% lignocaine and 1.7 ml of 4% articaine during two separate appointments. After 15 minutes of anesthetic injection, surgery was performed by the same surgeon using a consistent technique on both sides. Pinprick test pain scores of the buccal and palatal gingiva of the maxillary third molar after 10 minutes and 15 minutes latencies, pain scores during the surgery, the need for supplemental anesthesia, and patients' satisfaction with anesthetic efficiency were recorded. Surgery performed without supplemental anesthesia was categorized as successful. Results: The success rates of 4% lignocaine and 4% articaine (83.34% vs. 86.67%, P = 1.00) were not significantly different. Only 5 cases (4 cases in the articaine group and 1 case in the lignocaine group) reported mild pain and pressure sensation (NRS ≤ 1) on probing at the palatal side after 15 minutes of latency (P = 0.25). The pain scores of maxillary third molar surgery in the two groups were not significantly different (P > 0.05). Moreover, the statistical analysis confirmed the comparable patient satisfaction of two study groups (P = 0.284). Conclusion: This study provides evidence that single buccal infiltrations of 4% lignocaine and 4% articaine have comparable anesthetic efficacy and success rates for impacted maxillary third molar surgery. Both 4% lignocaine and 4% articaine can produce effective palatal anesthesia and pain control using buccal infiltration alone after 15 minutes of latency.

• Journal of Acupuncture Research
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• v.24 no.4
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• pp.183-195
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• 2007

Objectives : To determine whether individualized acupuncture (IA) provides greater pain relief and improved function compared with standardized acupuncture (SA) in patients with osteoarthritis of the knee. Methods: Design is a randomized single blind controlled trial with two intervention arms (IA vs SA) of 6 weeks' duration and 3 months follow up. An orthopedist diagnosed 50 patients' symptoms as knee osteoarthritis. Interventions were applied by 2 residents studying the acupuncture and moxibustion specially in Dongguk University International Hospital. Primary outcome measure is pain as measured by visual analogue scale (VAS). Secondary measures of pain and disability include WOMAC, SF-36, LFI and KHAQ. Results : The 50 participants were well matched for age, sex, bad side, VAS, WOMAC, SF-36, LFI and KHAQ scores at the baseline. 3 participants dropped out. There have not been any adverse events in both groups. Participants in both groups experienced great improvement in all measures except SF-36at 3 and 6 weeks. At 18 weeks, the IA group experienced significantly greater improvement than the SA group in VAS but not in WOMAC, SF-36, LFI and KHAQ. Conclusions : Manipulation of IA seems to provide pain relief longer for osteoarthritis of the knee when compared with SA.

• Journal of the HCI Society of Korea
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• v.11 no.3
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• pp.23-30
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• 2016

The landscape of the current fitness trackers is not only limited to the aerobic exercises but also the weight training is comparatively excluded. Recently, a few weight training fitness tracker was released, human-computer interaction was not well designed due to the lack of considering the context. Because body movement would be intense while doing exercises, having exercise performers hold or operate a device makes a negative experience. As the wearable device is always inseparable to body, it could provide effective feedback because holding or operating a device is not necessary. Therefore, this study aims to make the exercise performers feel a natural feedback through the wearable device to do effective exercises. As a result, this study identified three findings. First, the information which exercise performers most needed was 'during exercise.' and the most necessary information for exercise performers through wearable device's sensory feedback was about 'pace control' with counting and motivation. Second, the order of the most preferred presentation type of sensory feedback was auditory feedback, haptic feedback and visual feedback. Third, the satisfaction, utility, usefulness score of sensory feedback as same as the personal trainer's feedback. In conclusion, this study illustrated the feedback design implications using a wearable device while doing weight training and the possibilities that wearable device could be substitute for personal trainer.

• Spatial Information Research
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• v.21 no.3
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• pp.21-30
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• 2013

Recently, interest of submarine mineral resources has been increasing from the depletion of land resources around the world and many countries are involving in submarine mineral resource exploration work. South Korea is also in progress of mineral exploration and relevant study to ensure the submarine mineral resources from around the Korean Peninsula. As a result, the submarine mineral resource exploration data have been increasing annually. A database and 2D GIS-based system have been constructed for the management of the data. However, submarine mineral resource exploration data is explored and created on the sea-bed. Consequently, the visual confirmation of the water levels and marine landform is important for high dimension analysis. Therefore, the major aims of this study are to collect marine landform data from around the Korean Peninsula and to develop 3 dimension GIS based system that is linked to the submarine mineral resource exploration data. In detail, marine landform data were acquired for the Korean Peninsula and they were interpolated into raster file format. The raster file was then processed to be easily used and was entered into an Oracle database. Based on this database, 3D expression and overlap function between marine landform data and submarine mineral resource exploration data were designed using ArcScene offered by the ESRI. After design, 3D GIS based expression system was developed. Confirmations of locations and changes in the submarine mineral resource exploration data based on 3D GIS are enabled to support the efficient application of the proposed system. It is expected that this system will be highly useful for estimating the reserves of mineral resources and for providing valuable information for economic evaluations.

• 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.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.333-340
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• 2017

Timelapse is an imaging technique that captures motion at regular intervals and then projects it at normal speed. We looked at Timelapse advertising images of global brands and presented a model for analyzing components and expression methods of Timelapse, a new image technique. In previous research, literature research, Internet data survey, and YouTube data were investigated. Continuous photography has been developed as an imaging technique, and we have examined the current production status applied to domestic and foreign documentary, domestic and foreign drama, film, and advertisement. In 2015-2016, I will analyze the techniques of iPhones (2016), Ralph Lauren Polo Ads (2015), and Canon EOS (2013) videos that use Timelapse techniques in their recent advertisements. The results show that the Timelapse component is a static element, the static motif is mainly an artificial structure, the place is outdoor, the color is taken at a time showing the characteristics of the place, and the layout is all centered. The dynamic motif is a moving object. The dynamic line consists of a story based on the object. The time is about 11-15 seconds, the longest is about 1 minute and 30 seconds, and the editing is mainly focused on the product with the brand logo emphasized. In conclusion, it is the role of the image to pay attention to the advertisement and catch the eye. In order to motivate the buyer's mind, it is necessary to direct and edit such as Timelapse, which stimulates the emotions inherent in the mind and stimulates the non-verbal symbols. Future research is likely to reveal various attempts at temporal editing of images.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.197-206
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• 2010

For an emotion retrieval system implementation to support pedestrian navigation, coordinating the pedestrian emotion model with the system user's emotion is considered a key component. This study proposes a new method for capturing the user's model that corresponds to the pedestrian emotion model and examines the validity of the method. In the first phase, a database comprising a set of interior images that represent hypothetical destinations was developed. In the second phase, 10 subjects were recruited and asked to evaluate on navigation and satisfaction toward each interior image in five rounds of navigation experiments. In the last phase, the subjects' feedback data was used for of the pedestrian emotion model, which is called ‘learning' in this study. After evaluations by the subjects, the learning effect was analyzed by the following aspects: recall ratio, precision ratio, retrieval ranking, and satisfaction. Findings of the analysis verify that all four aspects significantly were improved after the learning. This study demonstrates the effectiveness of the learning algorithm for the proposed pedestrian emotion model. Furthermore, this study demonstrates the potential of such pedestrian emotion model to be well applicable in the development of various mobile contents service systems dealing with visual images such as commercial interiors in the future.

• Science of Emotion and Sensibility
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• v.13 no.1
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• pp.251-258
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• 2010

'Naturalness' is the important "ness" which is a key factor in image quality assessment. 'Naturalness' is a representive factor depending on the context of the image which arouses different emotions. The Image Quality Circle was split into two steps. The first step is predicting the visual perceptual attribute which are lightness, colourfulness, hue and contrast. The next step is SSE which is dependent to image contents. In this study the image contents are grouped in genres. The images were rendered using four different colour attributes which are lightness, contrast, colourfulness and hue. Using a scale, the score of image quality and SSE was asked to each participant for all rendered images. A seven-point category scale of increasing amount of "ness" is used as a quantitative adjectives sequence. The image quality model was built by combining the SSEs for each scene. The SSEs, where vividness is common, are considered as independent variables to predict the image quality score. Then the vividness model was built using colour attributes as variables to predict the vividness of each scene (genre). Vividness is an important factor of naturalness which the meaning is different for all scenes that links the naturalness and image quality. The vividness meaning was different for each scene (genre). Therefore, the colour attributes that express the vividness would depend on the image content.