• Journal of the Korean Society of Industry Convergence
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• v.26 no.1
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• pp.113-119
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• 2023

In this paper, we propose an optimization of a pose estimation deep learning model for recognition of abnormal behavior in unmanned stores using radio frequencies. The radio frequency use millimeter wave in the 30 GHz to 300 GHz band. Due to the short wavelength and strong straightness, it is a frequency with less grayness and less interference due to radio absorption on the object. A millimeter wave radar is used to solve the problem of personal information infringement that may occur in conventional CCTV image-based pose estimation. Deep learning-based pose estimation models generally use convolution neural networks. The convolution neural network is a combination of convolution layers and pooling layers of different types, and there are many cases of convolution filter size, number, and convolution operations, and more cases of combining components. Therefore, it is difficult to find the structure and components of the optimal posture estimation model for input data. Compared with conventional millimeter wave-based posture estimation studies, it is possible to explore the structure and components of the optimal posture estimation model for input data using genetic algorithms, and the performance of optimizing the proposed posture estimation model is excellent. Data are collected for actual unmanned stores, and point cloud data and three-dimensional keypoint information of Kinect Azure are collected using millimeter wave radar for collapse and property damage occurring in unmanned stores. As a result of the experiment, it was confirmed that the error was moored compared to the conventional posture estimation model.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.4
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• pp.131-139
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• 2016

This study explores role of self-efficiency in the career activities of marriage immigrant women. It is expected that self-efficiency would contribute to marriage immigrant women helping them to overcome the difficulties of their lives spontaneously and keep on their careers. For this, it was conducted that in-depth interview with seven marriage immigrant women. Conclusion was classified into two parts as following. The conclusion is from whether marriage immigrant woman has self-efficiency in her career purpose and career barrier. First, in the conclusion of career purpose, higher self-efficiency leads to constant career fulfillment and positive self image and lower self efficiency gives rise to absence of neighboring subgoal and discontinuity or lagging of personal career. Second, in the conclusion of career barrier, higher self-efficiency person would consider career barrier as an object to get over. On the contrary, lower self-efficiency person could not find the proper strategies to deal with career barrier and conform to the barrier and give up the career.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.115-127
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• 2023

Video stabilization is one of the camera technologies that the importance is gradually increasing as the personal media market has recently become huge. For deep learning-based video stabilization, existing methods collect pairs of video datas before and after stabilization, but it takes a lot of time and effort to create synchronized datas. Recently, to solve this problem, unsupervised learning method using only unstable video data has been proposed. In this paper, we propose a network structure that learns the stabilized trajectory only with the unstable video image without the pair of unstable and stable video pair using the Convolutional Auto Encoder structure, one of the unsupervised learning methods. Optical flow data is used as network input and output, and optical flow data was mapped into grid units to simplify the network and minimize noise. In addition, to generate a stabilized trajectory with an unsupervised learning method, we define the loss function that smoothing the input optical flow data. And through comparison of the results, we confirmed that the network is learned as intended by the loss function.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.91-105
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• 2024

Car accidents occur as a result of collisions between vehicles, leading to both vehicle damage and personal and material losses. This study developed a vehicle accident detection model based on 2,550 image frames extracted from car accident videos uploaded to YouTube, captured by CCTV. To preprocess the data, bounding boxes were annotated using roboflow.com, and the dataset was augmented by flipping images at various angles. The You Only Look Once version 8 (YOLOv8) model was employed for training, achieving an average accuracy of 0.954 in accident detection. The proposed model holds practical significance by facilitating prompt alarm transmission in emergency situations. Furthermore, it contributes to the research on developing an effective and efficient mechanism for vehicle accident detection, which can be utilized on devices like smartphones. Future research aims to refine the detection capabilities by integrating additional data including sound.

• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.3
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• pp.64-73
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• 2011

This study starts from the hypothesis that the information society has affected the layman's interpretation and production of content. Specifically, the manner and contents of communication concerning the landscape of Soonyoo-do Park in blogs are surveyed and the possibilities and limitations of this phenomenon are discussed. The following topics are dealt with. Firstly, what is the landscape of Seonyoodo Park as captured by bloggers? What type of landscape do bloggers respond to? Secondly, what is the unique way that bloggers capture and interpret the landscape? Thirdly, What are the possibilities and limitations discovered from the landscape as captured and interpreted by bloggers? Thus, 1,000 blog posts concerning Soonyoo-do Park, as culled from the Internet, were categorized into three areas, First are blog posts browsed by keywords such as 'photo', 'a photographer's visit', 'a good p1ace for taking photos', and 'landscape'. These are focused on the visual aspects of the landscape. The second category is posts under the keywords 'domestic travel', 'Seoul travel', 'travel', and 'recommendation'. They contain introductory information on Seonyoodo Park; that is, they focus cm the more utilitarian functions of Seonyoodo Park as a place. The third one is posts that record personal experiences. The subjects for photography are the bloggers themselves and their companions. As a result of studying the way bloggers deal with landscape, it was found that first, people have developed the ability to capture the landscape and interpret the landscape actively and independently. This process can be regarded as the reproduction of landscape and place. In addition, the recording of their appreciation and feeling overlaps with evaluation and assumption. One negative aspect, however, is that many bloggers dramatize and repeat similar scenes. This can be seen as a make-up of image. The limitations of this study include difficulty in interpretation because blogs, which are the objects of this study, are very subjective and personal. In addition, it was not easy to categorize posts because there were diverse images and a broad range of writing. Nevertheless, practitioners of landscape architecture should continue to monitor and use one-person media like blogs, because the relationship between modern man and the landscape can be better understood through them.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.620-631
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• 2019

Be an important competitive appearance for both boys and girls in modern society, and highlight the importance of enhancing their appearance. Administrative activity is considered traditionally feminine behavior and appearance, almost all female is subject of a consumer market is continuing, and recognition, but since the 1990s.Gender role stereotypes and women's social activity due to changes in status and role of men and women affected. Accordingly, the men in the realm of women than it used to be a glass half full and inclusive attitude began to improve her appearance are also men, and well in yourself. Investing a lot of time and money to their appearance to describe behavior. Furthermore, workers men to appearance factor for the career achievement, such as promotion or salary competitiveness is gradually spreading awareness of social life on whose behalf the men. The halo effect for a positive image formation and desirable looks to be. A Study on the self-wor Second, the higher the self-esteem of psychologically stable social approval of the important aesthetic of clothing, is less dependent on increased manageability and clothing. The study by analysis of the self respect persimmon and appearance for his own body satisfaction and a high correlation study and OK. Interpersonal and that a significant impact on the formation.Be an important competitive appearance for both boys and girls in modern society, and highlight the importance of enhancing their appearance. Administrative activity is considered traditionally feminine behavior and appearance, almost all female is subject of a consumer market is continuing, and recognition, but since the 1990s.Gender role stereotypes and women's social activity due to changes in status and role of men and women affected. Accordingly, the men in the realm of women than it used to be a glass half full and inclusive attitude began to improve her appearance are also men, and well in yourself. Investing a lot of time and money to their appearance to describe behavior. Furthermore, workers men to appearance factor for the career achievement, such as promotion or salary competitiveness is gradually spreading awareness of social life on whose behalf the men. The halo effect for a positive image formation and desirable looks to be. A Study on the self-wor Second, the higher the self-esteem of psychologically stable social approval of the important aesthetic of clothing, is less dependent on increased manageability and clothing. The study by analysis of the self respect persimmon and appearance for his own body satisfaction and a high correlation study and OK. Interpersonal and that a significant impact on the formation.

• Journal of Venture Innovation
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• v.1 no.2
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• pp.13-34
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• 2018

In this case, research has been conducted to verify that the purpose of establishing a reputation for establishing a reputation for identifying brand equity is research and investigation in the context of establishing a reputation for establishing a reputation, and conducting research on CSR activities that are essential to the essential activities of companies. The survey conducted a survey on behalf of the National Center for Adult Women and Girls and Girls ' Generation, using the final round of Section 305 to develop a series of findings, including the analysis of the feasibility analysis, feasibility analysis, reliability, correlation analysis, and factors analysis. A summary of the effects of research on corporate reputation on corporate reputation according to corporate CSR activities is as follows. 1st. Brand equity will have a positive effect on the Company's reputation. The hypothesis had a significant impact on brand recognition, brand loyalty, and perceived quality, but did not have significant impact on the brand image. 2st. Brand equity will have a positive effect on ethical responsibility. The hypothesis had a significant impact on brand recognition, brand loyalty, and perceived quality, but did not have significant impact on the brand image. 3st, the brand equity will have a positive effect on the benefit of the benevolent. The hypothesis had a significant impact on brand recognition, brand loyalty, and perceived quality, but did not have significant impact on the brand image. 4st, The theory that the influence of positive(+) will affect the company's reputation has a significant impact on both ethical and philanthropic factors. 5st. The ethical responsibility was found to have no effect on the usefulness of the brand between brand assets and corporate reputation. 6st. The philanthropic responsibility was partly attributable to the fact that there was a substitution between brand equity and corporate reputation. In sum, the company needs to prioritize its brand recognition before establishing its reputation, and the reason why it should be implemented is that the other elements of the brand equity should be evaluated with the presence of other elements of the brand equity, thereby ensuring continued compliance with continuous CSR activities. As a result, consumers expect to see the performance-based role of the company as a strategic and long-term perspective, as consumers want to see the CSR activity and the corporate reputation in a long-term manner, as opposed to the financial responsibility and legal responsibilities of the past, as opposed to the past.

• Journal of the Korean Society of Radiology
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• v.7 no.2
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• pp.145-149
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• 2013

Helical Tomotherapy is an innovative means of delivering intensity modulated radiation therapy (IMRT) using a device that merges features of a linear accelerator and helical computed tomography (CT) scanner. Hereat, during helical tomotherapy process, megavoltage computed tomography (MVCT) image are usually used for guiding the precise set-up of patient before/after treatment delivery. But which would certainly increase the total dose for patients, this study was to investigate the imaging dose of MVCT using the cylindrical "Cheese" phantom on a tomotherapy machine. A set of cylindrical "Cheese" phantom was adopted for scanning with respectively pitch value (1, 2, 3 mm) with same number slice (10 slice), same length (approximately 9 cm) and phantom set-ups on the couch of tomotherapy system. The average MVCT imaging dose were measured using A1SL ion chamber inserted in the phantom with preset geometry. The MVCT scanning average dose for the cylindrical "Cheese" phantom was 2.24 cGy, 1.02 cGy, 0.81 cGy during respectively pitch value (pitch 1, 2, 3 mm) with same number slice (10 slice), and same length's average dose was 2.47 cGy, 1.28 cGy, 0.88 cGy respectively (pitch 1, 2, 3 mm). Two major parameters, the assigned pitch numbers and scanning length, where the most important impacts to the dose variation. The MVCT dose was inversely proportional to the CT pitch value. The results may provide a reliable guidance for proper planning design of the scanning region, which is valuable to help minimize the extra dose to patient. Questionnaires were distributed to Radiology departments at hospitals with 300 sickbeds throughout the Pohang region of North Gyeongsang Province concerning awareness and performance levels of infection control. The investigation included measurements of the pollution levels of imaging equipment and assistive apparatuses in order to prepare a plan for the activation of prevention and management of hospital infections. The survey was designed to question respondents in regards to personal data, infection management prevention education, and infection management guidelines.

• Archives of design research
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• v.19 no.6 s.68
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• pp.9-14
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• 2006

There are many paintings describing butterfly in a folk story or old story but the word of Nabby is showed up because korea culture is subject to a Chinese character culture area. the word of Nabby is originated from flying features of nabby. It was expressed to an Hoju(胡蝶:swallowtail) or Hwangjub(黃蝶:yellow butterfly) in old book, Nabby or Naboi in Dusiunhae(杜詩諺解) issued in 1481, Naboi in Hunmonjahoe(訓夢字會) issued in 1527 and Nami in Simongunhaemungmyung(時夢諺解物名) issued in Sookjong dynasty(1675$\sim$1720). After that it was called Nabeui or Nabby and Nabby became the standard language but it is still called Nabbo or Nabbe in some provinces. The butterfly have been called as jewelry spread out through the world and people have been attracted by its meaning (love, pleasure, luck, long life and eternity) and its beautiful figure so that they have collected poems and paintings about it to appreciate its beauty or have made craft works and personal ornaments of it. This research is to analyze the shape and color of the using the application method of the nubi, which is used as expression method in this research, is suitable to express the beauty of butterfly's shape and the nerve of its wings and the basic material, which is light and have good drape, was used to easily express the rhythmical movement of butterfly's flapping. And thus, this research is to present that the above expression method is suitable to express the beautiful expression of butterfly's image and have unlimited potential energy for developing designs. Results showed that the soft outline of butterfly's wings can coincide with the linear shape of human body. It was also found that the characteristics of nubi method could be diversified as material expression method and the Haute Couture luxurious work could be developed by applying the mixed nubi method to costumes.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.73-85
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• 2013

Nowadays, in today's information society, the importance of the knowledge service using the information to creative value is getting higher day by day. In addition, depending on the development of IT technology, it is ease to collect and use information. Also, many companies actively use customer information to marketing in a variety of industries. Into the 21st century, companies have been actively using the culture arts to manage corporate image and marketing closely linked to their commercial interests. But, it is difficult that companies attract or maintain consumer's interest through their technology. For that reason, it is trend to perform cultural activities for tool of differentiation over many firms. Many firms used the customer's experience to new marketing strategy in order to effectively respond to competitive market. Accordingly, it is emerging rapidly that the necessity of personalized service to provide a new experience for people based on the personal profile information that contains the characteristics of the individual. Like this, personalized service using customer's individual profile information such as language, symbols, behavior, and emotions is very important today. Through this, we will be able to judge interaction between people and content and to maximize customer's experience and satisfaction. There are various relative works provide customer-centered service. Specially, emotion recognition research is emerging recently. Existing researches experienced emotion recognition using mostly bio-signal. Most of researches are voice and face studies that have great emotional changes. However, there are several difficulties to predict people's emotion caused by limitation of equipment and service environments. So, in this paper, we develop emotion prediction model based on vision-based interface to overcome existing limitations. Emotion recognition research based on people's gesture and posture has been processed by several researchers. This paper developed a model that recognizes people's emotional states through body gesture and posture using difference image method. And we found optimization validation model for four kinds of emotions' prediction. A proposed model purposed to automatically determine and predict 4 human emotions (Sadness, Surprise, Joy, and Disgust). To build up the model, event booth was installed in the KOCCA's lobby and we provided some proper stimulative movie to collect their body gesture and posture as the change of emotions. And then, we extracted body movements using difference image method. And we revised people data to build proposed model through neural network. The proposed model for emotion prediction used 3 type time-frame sets (20 frames, 30 frames, and 40 frames). And then, we adopted the model which has best performance compared with other models.' Before build three kinds of models, the entire 97 data set were divided into three data sets of learning, test, and validation set. The proposed model for emotion prediction was constructed using artificial neural network. In this paper, we used the back-propagation algorithm as a learning method, and set learning rate to 10%, momentum rate to 10%. The sigmoid function was used as the transform function. And we designed a three-layer perceptron neural network with one hidden layer and four output nodes. Based on the test data set, the learning for this research model was stopped when it reaches 50000 after reaching the minimum error in order to explore the point of learning. We finally processed each model's accuracy and found best model to predict each emotions. The result showed prediction accuracy 100% from sadness, and 96% from joy prediction in 20 frames set model. And 88% from surprise, and 98% from disgust in 30 frames set model. The findings of our research are expected to be useful to provide effective algorithm for personalized service in various industries such as advertisement, exhibition, performance, etc.