• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.1-8
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• 2022

With the development of communication infrastructure, the number of network equipment owned by one person is gradually increasing. General-purpose devices such as smartphones can implement theft/loss prevention function by implementing S/W. However, other small devices lack practicality such as long-distance communication problems due to standard communication technology specifications or H/W limitations, and lack of functions(authentication and security). This study combines the Lora communication protocol in the LPWA standard environment and the blockchain technology. Anti-theft and security functions were added to the protocol, and the PBFT consensus algorithm was applied to build a blockchain network. As a result of the test, the effectiveness of safety(authentication and trust network) and performance(blockchain processing performance) were confirmed. This study aims to contribute to the future development of portable or small device anti-theft products as a 4th industrial convergence research.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.81-89
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• 2022

This study aims to analyze the images of Instagram posts and to draw implcations regarding the exhibition of . This study collects and crawl 24,295 images from Instagram posts as a dataset. We use the Google Cloud Vision API for labeling the images and a total of 212,567 clusters of labels are finally classified into 9 categories using Word2Vec. The categories of museum spaces, photo zone, architecture category are dominant along with people category. In conclusion, visitors curate their experiences and memories of physical places and spaces while they are experiencing with the exhibition. This result reproves the results of previous studies which emphasize a sense of social presence and place making. The convergent approach of art management and art technology used in this study help museum professionals have an insight on big data based visitor research on a practical level.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.1
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• pp.79-92
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• 2022

This paper investigates the effects of R&D capability, manufacturing capability, understanding of the Biz model on performance of Korean start-up companies, especially the moderating effects of manufacturing capability and understanding of the Biz model. We analysis 1103 Korean start-up companies based on "2019 Survey of Korea Venture Firms" As a result, the manufacturing capability and employee's unnderstanding the Biz-model have the positive relationship with company performance. Especially, we found that 'employee's unnderstanding the Biz-model' moderates the relationship between R&D capability & performance positively.

• Journal of Korea Entertainment Industry Association
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• v.15 no.8
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• pp.443-456
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• 2021

This study was conducted to determine the extent to which music and art education had an effect on relieving depression and stress caused by COVID-19 and social distancing for teenagers in Seoul. To this end, with the cooperation of the Seoul Metropolitan Office of Education, an official document was issued to elementary, middle, and high schools in Seoul, and a study on the current status of about 1,745 students was conducted. Therefore, this study intends to prove through this study that music activity can significantly contribute to relieving depression and stress in adolescents on the basis that COVID-19 has a significant effect on the induction of depression and stress in adolescents. To this end, based on previous research, while examining the changes in the psychological state of Koreans due to COVID-19, we would like to analyze the depression and stress of adolescents intensively. And by experiencing music activities, it will be confirmed that depression and stress caused by COVID-19 can be relieved to a large extent through physiological and emotional changes. Furthermore, based on the survey, we intend to suggest that music activities will help adolescents to improve their emotional stability, cultural sensitivity, and self-esteem, and ultimately develop into healthy cultural people in terms of education.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.357-363
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• 2022

South Korea faces elderly care crisis with both low fertility rate and rapid ageing rate. Long-term care insurance in 2008 has taken care burden from family to nation. However, few options, lack of tailored services, and unstable community care plan caused blankness of care in some areas. Especially, increasing dementia rate has become an emergent social issue. Welfare technology could be a useful alternative to fill out the gap between demand and supply. Using FGI method on two groups(high-risk dementia group and MCI group), intimacy, accessibility and preventive way of dementia with welfare technology are analysed in this paper. Despites of a few differences of dementia progress, interests towards technology are expressed. More suggestions using TV and normal telephone to improve daily independence are presented as well. Amongst MCI group, help-service for technology-use at ADS and linkage ways of in-home services are also suggested.

• Journal of IKEEE
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• v.27 no.3
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• pp.265-272
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• 2023

In this paper, a GPU-accelerated kernel of range Doppler algorithm (RDA) was developed for real-time image formation based on frequency modulated continuous wave (FMCW) synthetic aperture radar (SAR). A pinned memory was used to minimize the data transfer time between the host and the GPU device, and the kernel was configured to perform all RDA operations on the GPU to minimize the number of data transfers. The dataset was obtained through the FMCW drone SAR experiment, and the GPU acceleration effect was measured in an intel i7-9700K CPU, 32GB RAM, and Nvidia RTX 3090 GPU environment. Including the data transfer time between host and devices, it was measured to be accelerated up to 3.41 times compared to the CPU, and when only the acceleration effect of operation was measured without including the data transfer time, it was confirmed that it could be accelerated up to 156 times.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1919-1925
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• 2022

In this paper, we propose an image-to-image translation approach based on the conditional generative adversarial network for semantic segmentation. Semantic segmentation is the task of clustering parts of an image together which belong to the same object class. Unlike the traditional pixel-wise classification approach, the proposed method parses an input RGB image to its corresponding semantic segmentation mask using a pixel regression approach. The proposed method is based on the Pix2Pix image synthesis method. We employ residual connections-based convolutional neural network architectures for both the generator and discriminator architectures, as the residual connections speed up the training process and generate more accurate results. The proposed method has been trained and tested on the NYU-depthV2 dataset and could achieve a good mIOU value (49.5%). We also compare the proposed approach to the current methods in semantic segmentation showing that the proposed method outperforms most of those methods.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.145-153
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• 2019

As a category of film types, suspense thriller is constantly introducing a new element in the endless historical development and owns new vitality. The long-standing essence is that it doesn't vulgarly cater to the public, but stimulates more creativity. In this thesis, starting from theoretical foundation of creation in American contemporary suspense thriller, the author analyzes playwriting characteristics of suspense thriller and analyzes the exquisite description of characters' mental world and external presentation in detail from multiple structure modes to multiple perspectives. Also, the author comprehensively elaborates playwriting characteristic features of American contemporary suspense thriller by combining with playwriting theme, structure and viewpoint and takes the classic work of American suspense thriller by David Fincher as an example to analyze the unique value of thriller playwriting.

• Journal of Korea Entertainment Industry Association
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• v.4 no.4
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• pp.72-76
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• 2010

Clinical nomogram is a graphical representation of numeric formula, constructed from clinical cases database of followed patients' treatment, which is used for medical predication. For a clinical nomogram to contribute patient care, it is required to accumulate as many as clinical cases and to extract medical prediction knowledge. It needs to be equipped with an effective method to build medical nomogram with high predication accuracy. It is desirable for medical nomogram to be accessible at patient care point. This paper proposes a medical nomogram service system architecture which takes into account the above-mentioned issues. The proposed system architecture includes a web-based database subsystem to maintain and keep track of clinical cases. On the periodic basis, a new clinical nomogram is reconstructed for the updated clinical database. For the convenient use of patient care practice environment, an app-based program is provided which makes prediction based on the most recent clinical nomogram constructed in the service system. The proposed method has been applied to a clinical nomogram service system development for recurrence and survival prediction in bladder cancer patients.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.581-588
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• 2023

In this paper, we modeled the methods and steps of reflective writing education that effectively utilizes GPT to enable actual classes. In this paper, we sought a teaching model that can be effectively utilized in self-reflective writing education in a reality where it is physically and practically difficult to prevent the use of an artificial intelligence writing machine called GPT. First, in the preparation stage, we made students understand the operating principles of GPT and educated the application team, while suggesting a teaching method using GPT to model and personalize writing ideas. Afterwards, an example of the task was given. Second, in the stage of using GPT, we showed how to model and internalize writing ideas using GPT according to the process of outlining, paragraphing, and reviewing reflective writing. Third, in the organizing stage, the instructor helped learners edit and make final edits to their writing and presented a process of organizing and reflecting.