• Journal of the Korea Computer Graphics Society
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• v.16 no.1
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• pp.29-35
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• 2010

In this paper, we introduce a novel entropy coding method to improve the JPEG image compression standard. JPEG is one of the most widely used image compression methods due to its high visual quality for the compression ratio, and especially because of its high efficiency. Based on the observation that the blocks of data fed to the entropy coder usually contain consecutive sequences of numbers with small magnitudes including 0, 1, and -1, we separate those sequences from the data and encode them using a method dedicated to those values. We further improve the compression ratio based on the fact that this separation makes the lengths of blocks much shorter. In our experiment, we show that the proposed method can outperform the JPEG standard preserving its visual characteristics.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.2
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• pp.47-51
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• 2009

Purpose: The purpose of this case study is to analyze of the training fidelity of vision training trainee. Mehtods: The vision training observation group included 75 clients (male=40, female=35) who had binocular vision disorders without opthalmic diseases or vertical phoria. Results: A high degree of visiting rate and training fidelity showed improvement of binocular vision function, sensation and symptoms. It had a high degree of success rate and preference rate. Conclusions: We suggest that high training fidelity is an effective and alternative method for binocular vision disorder therapy.

• Journal of Advanced Research in Ocean Engineering
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• v.3 no.3
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• pp.136-148
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• 2017

The paper presents dual arm ROV manipulation using deep reinforcement learning. The purpose of this underwater manipulator is to investigate and excavate natural resources in ocean, finding lost aircraft blackboxes and for performing other extremely dangerous tasks without endangering humans. This research work emphasizes on a self-learning approach using Deep Reinforcement Learning (DRL). DRL technique allows ROV to learn the policy of performing manipulation task directly, from raw image data. Our proposed architecture maps the visual inputs (images) to control actions (output) and get reward after each action, which allows an agent to learn manipulation skill through trial and error method. We have trained our network in simulation. The raw images and rewards are directly provided by our simple Lua simulator. Our simulator achieve accuracy by considering underwater dynamic environmental conditions. Major goal of this research is to provide a smart self-learning way to achieve manipulation in highly dynamic underwater environment. The results showed that a dual robotic arm trained for a 3DOF movement successfully achieved target reaching task in a 2D space by considering real environmental factor.

• Journal of Distribution Science
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• v.10 no.9
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• pp.37-45
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• 2012

Purpose - The objective of the paper is to examine display techniques and tools at traditional clothing stores to improve the traditional market. Since most research has been done theoretical and model based approaches, changing business environments requires more holistic and detailed facts to apply or develop a retail business strategy. Research design / data / methodology - The study employs qualitative research such as direct observation as well as direct interview and telephone interview from May 7 to Jun 2, 2012. The paper examines lighting, various display techniques and tools. The analysis of 80 store pictures for them had been done three examiners with agreement. Results - Sample garments are displayed on the walls; the racks of hangers are attached on the upper part of the walls; there is indirect lighting only. Furthermore, the merchandises are displayed, without any consistency, on various sizes and shapes of hangers, only on the owners' arbitrariness. When considering that the Korean traditional fabrics (Juddan) have a little pattern and colors as their important elements for displaying. Conclusions - The findings of this study show that the retailers in the traditional market need to have lessons on colors and to learn how to use the specific lighting and to display merchandise.

• Science of Emotion and Sensibility
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• v.20 no.1
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• pp.41-48
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• 2017

This study was conducted to develop wearable products with visual and auditory feedback aimed at promoting exercise interest in children. Here we determined the theoretical characteristics of cognitive and motor function development during childhood, empirical characteristics of children's motor functions, and factors that encourage exercise using natural observation and in-depth interview research methods. The questionnaire assessed children's motor ability, intensively trained body parts in sports programs, types of training or classes that improve the motor ability of each muscle group, significantly considered aspects of children's sports programs, and factors that promote children's interest in exercise. Our results suggest that the development of sport programs comprising varied exercise options that enhance body and limb movements are needed for balanced growth. Furthermore, it is very important to provide motivation for regular exercise and appropriate feedback, such as praise and encouragement, to maintain interest in exercise. This study identifies the standards for developing products that peak children's interest in exercise and the basis for a physically and mentally healthy society.

• Journal of Korea Game Society
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• v.20 no.5
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• pp.65-76
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• 2020

This paper studied cooperation and reciprocity mechanism by analyzing game mechanics of MMORPG 'World of Warcraft: Classic'. MMORPG is the genre of game where social interaction vigorously occurs. This study figured out the structure of cooperation based on evolutionary psychology, anthropology and social psychology through participatory observation. Four cooperation and reciprocity mechanism were drawn through investigating game mechanics like instance dungeon, clear role setting, item, soulbind. In addition, this paper suggests providing ideas of making cooperation mechanism in the field of game design.

• The Korean Journal of Zoology
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• v.33 no.2
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• pp.133-140
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• 1990

In monocular vision, bead and eye optokinetic nystagmus (OKN) display directionnal asymmetry, in lower vertebrates such as chickens, T-N stimulation being more efficient in evoking this visuomotor reflex than N-T stimulation. The N-T component of monocular OKN is significantly weaker in chickens. Coil recordings and observation showed that in adult chickens, prolonged monocular visual deprivation by unilateral eyelid suture provoked significant and progressive increase of the N-T component in chickens. This plasticity phenomenon involved the eye and head OKN in chickens. The administration of THIP, a GABA agonist, abolished reversibly the increase of the N-T component in chickens. This fact suggests that the GABAergic system could be involved in determining this plasticity phenomenon observed in adult lower vertebrates.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.1
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• pp.127-131
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• 2009

Purpose: The purpose of this case study is to study effect of the vision therapy on a recurrent intermittent exotropia patient before and after surgical correction. Methods: The vision therapy observation included both before and after the surgical correction of intermittent exotropia patients who had binocular vision disorder without opthalmic diseases. Results: According to the results, vision therapy method showed improvement, both case before and after the surgical correction of intermittent exotropia patients. Conclusions: Therefore we suggest that vision therapy is an effective and alternative method for intermittent exotropia patients.

• Clinical and Experimental Pediatrics
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• v.64 no.10
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• pp.497-503
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• 2021

Reading disability (dyslexia) refers to an unexpected difficulty with reading for an individual who has the intelligence to be a much better reader. Dyslexia is most commonly caused by a difficulty in phonological processing (the appreciation of the individual sounds of spoken language), which affects the ability of an individual to speak, read, and spell. In this paper, I describe reading disabilities by focusing on their underlying neurobiological mechanisms. Neurobiological studies using functional brain imaging have uncovered the reading pathways, brain regions involved in reading, and neurobiological abnormalities of dyslexia. The reading pathway is in the order of visual analysis, letter recognition, word recognition, meaning (semantics), phonological processing, and speech production. According to functional neuroimaging studies, the important areas of the brain related to reading include the inferior frontal cortex (Broca's area), the midtemporal lobe region, the inferior parieto-temporal area, and the left occipitotemporal region (visual word form area). Interventions for dyslexia can affect reading ability by causing changes in brain function and structure. An accurate diagnosis and timely specialized intervention are important in children with dyslexia. In cases in which national infant development screening tests have been conducted, as in Korea, if language developmental delay and early predictors of dyslexia are detected, careful observation of the progression to dyslexia and early intervention should be made.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.59-66
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• 2021

Humans mainly recognize surrounding objects using visual and auditory information among the five senses (sight, hearing, smell, touch, taste). Major research related to the latest object recognition mainly focuses on analysis using image sensor information. In this paper, after emitting various chirp audio signals into the observation space, collecting echoes through a 2-channel receiving sensor, converting them into spectral images, an object recognition experiment in 3D space was conducted using an image learning algorithm based on deep learning. Through this experiment, the experiment was conducted in a situation where there is noise and echo generated in a general indoor environment, not in the ideal condition of an anechoic room, and the object recognition through echo was able to estimate the position of the object with 83% accuracy. In addition, it was possible to obtain visual information through sound through learning of 3D sound by mapping the inference result to the observation space and the 3D sound spatial signal and outputting it as sound. This means that the use of various echo information along with image information is required for object recognition research, and it is thought that this technology can be used for augmented reality through 3D sound.