• Korea Science and Art Forum
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• v.31
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• pp.171-180
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• 2017

The purpose of this study is to analyze the characteristics of color image for establishing the color environment contributing to the promotion of public health in the public health facilities and to utilize it as data of public health color plan and index development. For this purpose, the results of the previous precedent studies were integrated and public health facilities were classified into medical facilities (general hospitals), health facilities (public health centers), and sub - healing facilities (elderly care facilities). We visited 18 public health facilities in total, measured the environmental color of with a spectroscopic, compared the results and the precedent studies results, and identified color image characteristics and future supplement points. The results are as follows. First, the previous studies related to the environment color image vocabulary of the public health facilities, it prefer comfortable, bright and positive image. Second, as a result of direct measurement the environmental color of the public health facilities, it is found that most of them use the high brightness and low saturation color of Y series. Third, as a result of analyzing vocabulary of environmental color image of public health facilities, 'natural' image showed the highest frequency, and other images such as 'gentle' and 'decent' appeared. It was difficult to understand the characteristics of the color image vocabularies of public health facilities. This study is a convergence study of color science and environmental design, and it extends the scope of multidisciplinary research related to design and it will be helpful in environmental planning on user's emotion.

• Science of Emotion and Sensibility
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• v.25 no.4
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• pp.129-138
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• 2022

In the context of the increasing applications of voice assistants in vehicles, we focused on the association between the visual appeal of the cars and the acoustic characteristics of the voice assistants. This study aimed to investigate the relationship between the visual appeal of the vehicle and the voice assistant based on their emotional characteristics. A total of 15 adjectives were used to assess the emotional characteristics of 12 types of cars and six types of voices. An online interview was carried out, instructing participants to match three adjectives with the presented car images or voices. This was followed with a brief interview to allow the participants to reflect on the adjective matches. Based on the assessments, we performed principal component analysis (PCA) to determine factors. We aimed to deploy the cars and voices and analyze the patterns of clustering. The PCA analysis revealed two factors profiled as "Light-Heavy" and "Comfortable-Radical." Both car and voice stimuli were deployed in a two-dimensional space showing the internal relationship within and between the two substances. Based on the coordination data, a hierarchical cluster grouped the 18 stimuli into four groups labeled as challenge, elegance, majesty, and vigor. This study identified two latent factors describing the emotional characteristics of both car images and voice types clustered into four groups based on their emotional characteristics. The coherent matches between car style and voice type are expected to address the design concept more successfully.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.166-178
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• 2023

This study aims to introduce and assess CNN Deep Learning methods to analyze visual landscape images on social media with embedded user perceptions and experiences. This study analyzed visual landscape images by focusing on a healing place. For the study, seven adjectives related to healing were selected through text mining and consideration of previous studies. Subsequently, 50 evaluators were recruited to build a Deep Learning image. Evaluators were asked to collect three images most suitable for 'healing', 'healing landscape', and 'healing place' on portal sites. The collected images were refined and a data augmentation process was applied to build a CNN model. After that, 15,097 images of 'healing' and 'healing landscape' on portal sites were collected and classified to analyze the visual landscape of a healing place. As a result of the study, 'quiet' was the highest in the category except 'other' and 'indoor' with 2,093 (22%), followed by 'open', 'joyful', 'comfortable', 'clean', 'natural', and 'beautiful'. It was found through research that CNN Deep Learning is an analysis method that can derive results from visual landscape image analysis. It also suggested that it is one way to supplement the existing visual landscape analysis method, and suggests in-depth and diverse visual landscape analysis in the future by establishing a landscape image learning dataset.

• Korean Journal of Applied Biomechanics
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• v.33 no.2
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• pp.73-83
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• 2023

Objective: Adolescent idiopathic scoliosis patients make up 40% of all scoliosis patients, and it is likely to increase even more because of the increase in sitting times due to the pandemic. Method: The subject of this study was a 16-year-old female student. The Cobb's Angle at initial value was 42° at the thoracic and 33° at the lumbar. The subject's height was 161.6 cm, and the type of scoliosis was 3CL. The brace was built with fabric materials with the size information from the X-ray information and actual measurements. The brace was made for the adolescents to wear for a longer time by making them put pressure on the same pressure points of the existing braces. The subjects were required to wear the device for 16 hours every day for three months. Additional features to check the pressure and time were synchronized through an app for easier communication and management with the responsible investigator. Results: After wearing the 3D Fabric brace, Cobb's angle changed from 42° to 33° at the thoracic and 33° to 23° at the lumbar. The ATR changed from 9° to 8° at the thoracic and 11° to 6° at the lumbar. As a result, the changes in the ATR angle do relate to the decrease of Cobb's angle, which made the angle of scoliosis that is bent in a three-dimensional way improve, making the height of the subject increase from 161.6 cm to 163.5 cm. Conclusion: Through this study, developing a brace that is made in the form of the 3CL to align the strap direction and putting pressure on the proper pressure points makes Cobb's angle and the ATR smaller. This means that there is a positive effect on the changes in height. A brace made of light fabric material is a good brace to help treat adolescent idiopathic scoliosis. There was an opinion that it is more comfortable to wear than existing braces, but it seems necessary to conduct a quantitative study about the before and after of wearing the brace and a survey for Korean specific cases.

• 한국노년학
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• v.30 no.4
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• pp.1345-1357
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• 2010

This research, with the participants of the female elderly using a home-visit bath among long-term care services, made an in-depth analysis of what they experience while getting a home-visit bath. We conducted in-depth interviews with 8 elderly people. According to the result, the female elderly experienced the absence of a caregiver, difficulty in carrying out daily life due to physical diseases, getting what they need by themselves, getting comfortable in body and mind, accepting their given situation though feeling shame at getting a bath, and expressing their desires. In addition, they had a close relationship with a care helper. On the basis of the results, a systematic training system which could intensify the professionalism of care helpers was suggested. For the enhancement of the elderly's emotional stability in a long-term care, an integrated case management system was also suggested, which supports the family by organizing an integrated network by region between a long-term care service, home-visit care service, welfare center, and the National Health Insurance Corporation.

• Journal of Korean Society of Rural Planning
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• v.29 no.4
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• pp.201-210
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• 2023

The Agricultural Environmental Conservation Program is a useful system for creating sustainable agriculture and environmentally friendly and comfortable rural areas. However, there are still many problems and difficulties, such as the establishment of necessary activities and plans by the residents themselves, and improvements are required. The degree of importance and difficulties according to the implementation stage of each stakeholder was quantified and compared with each other, and the specific difficulties recognized by on-site support organizations were structurally analyzed. It was analyzed that the importance and difficulties of the project implementation stage for local government officials and the project implementation planning stage for on-site support organizations were very high, indicating that they perceived the most need for improvement. On the other hand, 21 specific problems and difficulties were derived based on the results of the literature survey and stakeholder interviews. As a result of the structural analysis using the DEMATEL method, the most influential factor was the low understanding of the project by residents, the most influential factor was the lack of collecting and reflecting residents' opinions, the most central factor was the lack of collecting and reflecting residents' opinions, and the most causal factor was the lack of education and promotion of the project. The results indicate that a more stable system can be established if continuous promotion and education, periodic meetings and discussions, active reflection of residents' opinions in project implementation plans, and simplification of implementation inspection and project cost execution through the implementation inspection platform are promoted. Despite the limitations, considering that no institutional analysis of agricultural environmental conservation programs has been conducted so far, the results of this study are expected to serve as a basis for the establishment of relevant policies in the future.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.2
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• pp.1-12
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• 2023

In the current era of the global mobile smart device revolution, electronic devices are required in all spaces that people interact with. The establishment of the internet of things (IoT) among smart devices has been recognized as a crucial objective to advance towards creating a comfortable and sustainable future society. In-mold electronic (IME) processes have gained significant industrial significance due to their ability to utilize conventional high-volume methods, which involve printing functional inks on 2D substrates, thermoforming them into 3D shapes, and injection-molded, manufacturing low-cost, lightweight, and functional components or devices. In this article, we provide an overview of IME and its latest advances in application. We review biomimetic nanomaterials for constructing self-supporting biosensor electronic materials on the body, energy storage devices, self-powered devices, and bio-monitoring technology from the perspective of in-mold electronic devices. We anticipate that IME device technology will play a critical role in establishing a human-machine interface (HMI) by converging with the rapidly growing flexible printed electronics technology, which is an integral component of the fourth industrial revolution.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.4
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• pp.243-249
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• 2023

This case study showed improvement both in pain and gait disturbance caused by SCH. KM can be a positive treatment for reducing pain or improving gait disturbance caused by SCH, and it can be considered a treatment option for SCH. Future studies with a larger number of cases and longer period of follow-up in SCH with gait disturbance and rigidity are needed.

• Korean Journal of Culture and Social Issue
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• v.16 no.4
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• pp.487-508
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• 2010

The purpose of this study is to compare relationship with friends among adolescents under probation and high school students without any criminal record. A total of 510 respondents (253 adolescents under probation, 257 high school students) participated in this study. Results indicate that both adolescents under probation and high school students reported that they talk to talked to their friends when they were lonely, that they were comfortable when they are with their friends, and that they trusted their friends unconditionally. However, the two groups showed a difference in the place that they meet their friends. Adolescents under probation are likely to meet their friends at Internet Cafe to play internet games, while high school students are likely to meet their friends near their school. Compared to high school students, adolescents under probation had more friends who were expelled from school, who were under probation and who have been previously incarcerated. For adolescents under probation, compared to first time offenders, the repeat offenders were more likely to have friends who were under probation and who have been previously incarcerated. When discriminant analysis were conducted for adolescents under probation and high school students, the two groups can be distinguished by the number of friends expelled from school, number of friends under probation, and number of friends who have been previously incarcerated. For adolescents under probation, compared to first time offenders, the repeat offenders could be distinguished by the number of friends expelled from school, number of friends under probation, number friends who have been previously incarcerated, and number of times their partners in crime were under probation or incarcerated.

• Journal of IKEEE
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• v.28 no.1
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• pp.90-96
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• 2024

In this paper, we propose an automated system. It utilizes a Raspberry Pi camera and a function generator to analyze luminance in an image. Then, it applies voltage based on this analysis to control light transmission through coloring smart windows. The existing luminance meters used to measure luminance are expensive and require unnecessary movement from the user, making them difficult to use in real life. However, after taking a photography, luminance analysis in the image using the Python Open Source Computer Vision Library (OpenCV) is inexpensive and portable, so it can be easily applied in real life. This system was used in an environment where smart windows were applied to detect the luminance of windows. Based on the brightness of the image, the coloring of the smart window is adjusted to reduce the brightness of the window, allowing occupants to create a comfortable viewing environment.