• Journal of the Korea Fashion and Costume Design Association
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• 제24권2호
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• pp.97-115
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• 2022

The study aims to explore a new direction for research on buttons by understanding the functions and artistic features of buttons on Western clothing in the 18th and 19th centuries, and to use the findings to develop a textile design. In terms of the research method, the period was set in the 18th and 19th centuries, when decorative features and artistic values of buttons on Western clothing reached theirpeak, while theoretical analysis was made based on literature and previous research papers on Western clothing, websites of the Metropolitan Museum and French Museum of Decorative Arts and other website materials, as well as special exhibition materials of the National Museum of Modern and Contemporary Art. Textile designs were developed using computer programs, including Clip Studio Paint and Adobe Photoshop, by integrating the reinterpreted motif of buttons in the 18th and 19th centuries and the styles that prevailed at that time. The results are as follows. First, buttons on Western clothing had the following three functions: a practical function, a symbolic function representing the wearer's status, and a decorative function expressing individuality and beauty. Second, buttons in the 18th century were works of art made with various handicraft techniques and were an important medium that expressed the wearer's fashion sense. In addition, buttons in the 19th century were mass-produced as a result of industrialization and took a major step forward with the development of materials and dyeing. Buttons reflected themes of poetry, drama, biblical stories, music and art, lifestyle,, along with the political and social atmosphere that rapidly changed after the revolution and fashion trends. Third, the artistic features and shapes of buttons were reinterpreted to create a design motif, and the design was developed reflecting the characteristic elements of the rococo style of the 18th century and the art nouveau style of the 19th century that can conform to modern fashion, thereby rediscovering the artistic meaning and value implied in buttons. In the future, the research on creative buttons of 20th century artists is expected to be conducted from various perspectives.

• Journal of the Korean Society of Floral Art and Design
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• 제42호
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• pp.97-116
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• 2020

In this paper, the need for lifelong education and distance education is increasing due to the decrease of population and the increase of life expectancy. In addition, the popularization and everydayization of education, which combines daily life and learning, is an educational feature. Individuals can more easily access knowledge, and video plays an important role. Video content is the most basic medium that leads to the popularization and daily life of education. With the development of information and communication technology, popularization of media content production and editing technology, anyone can easily create and share. The video education contents business is expected to increase globally through SNS. Especially, the video contents education industry related to flower design is regarded as a suitable content field in an era where environment is essential. In the modern era, characterized by the "one-person household, one-person media" era, the environment of plants protects people from stress by restoring human emotional efficiency, environmental comfort, and stability. In other words, because humans have a preference for nature, plants play an important role for humanity recovery. Against this backdrop, flower design is expected to be a promising industrial sector with high growth, high value added and high job creation effects. In the era of the fourth revolution of the human race, competitive video contents are expected to influence the growth of the future country. will be.

• Journal of Korea Entertainment Industry Association
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• 제14권8호
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• pp.163-174
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• 2020

The purpose of this study is to derive the characteristics of the creative process of convergence performing arts. Therefore, the PADAF-Play and Dance Art Festival, a representative convergence performing arts festival in Korea that has been held steadily every year since the first event in 2011, was selected as the subject of the study. Through PADAF, a representative convergence performing arts festival in Korea, qualitative case studies were selected through process-oriented discovery to study the characteristics of the creative process of convergence performing arts, which is a key feature of performing arts in the 21st century. For realistic and empirical research, the 8th and 9th PADAF participated in the entire process from the initial stage of preparation to the closing ceremony and conducted several in-depth interviews with PADAF officials and participating artists. Looking at the characteristics of the convergence performance art creation process through PADAF, creators overcame difficulties that they had not thought of in different ways in the process of meeting different heterogeneous genres, but through understanding other genres, experiential values through convergence, sharing as collaborators, and various ways of communication. The characteristics of the convergence performing arts creation process, which is focused on PADAF, are "Rhizom thinking" by French philosopher Gilles Deleuze(1925-1995), "Collective intelligence," and "Experimental Value for Experimental Creation" by creators. Through this derivation, we will help the changing performing arts scene based on the basic human desire to understand convergence performance art a little more and communicate through the extended expression of convergence.

• Journal of the Korea Society of Computer and Information
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• 제27권12호
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• pp.59-68
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• 2022

This paper presents a method for 1:1 verification by comparing the similarity between the given real product image and the drawing image. The proposed method combines two existing CNN-based deep learning models to construct a Siamese Network. After extracting the feature vector of the image through the FC (Fully Connected) Layer of each network and comparing the similarity, if the real product image and the drawing image (front view, left and right side view, top view, etc) are the same product, the similarity is set to 1 for learning and, if it is a different product, the similarity is set to 0. The test (inference) model is a deep learning model that queries the real product image and the drawing image in pairs to determine whether the pair is the same product or not. In the proposed model, through a comparison of the similarity between the real product image and the drawing image, if the similarity is greater than or equal to a threshold value (Threshold: 0.5), it is determined that the product is the same, and if it is less than or equal to, it is determined that the product is a different product. The proposed model showed an accuracy of about 71.8% for a query to a product (positive: positive) with the same drawing as the real product, and an accuracy of about 83.1% for a query to a different product (positive: negative). In the future, we plan to conduct a study to improve the matching accuracy between the real product image and the drawing image by combining the parameter optimization study with the proposed model and adding processes such as data purification.

• Journal of Intelligence and Information Systems
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• 제29권1호
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• pp.27-40
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• 2023

With the increase in the spread of smart devices and the impact of COVID-19, the consumption of media contents through smart devices has significantly increased. Along with this trend, the amount of media contents viewed through OTT platforms is increasing, that makes contents recommendations on these platforms more important. Previous contents-based recommendation researches have mostly utilized metadata that describes the characteristics of the contents, with a shortage of researches that utilize the contents' own descriptive metadata. In this paper, various text data including titles and synopses that describe the contents were used to recommend similar contents. KLUE-RoBERTa-large, a Korean language model with excellent performance, was used to train the model on the text data. A dataset of over 20,000 contents metadata including titles, synopses, composite genres, directors, actors, and hash tags information was used as training data. To enter the various text features into the language model, the features were concatenated using special tokens that indicate each feature. The test set was designed to promote the relative and objective nature of the model's similarity classification ability by using the three contents comparison method and applying multiple inspections to label the test set. Genres classification and hash tag classification prediction tasks were used to fine-tune the embeddings for the contents meta text data. As a result, the hash tag classification model showed an accuracy of over 90% based on the similarity test set, which was more than 9% better than the baseline language model. Through hash tag classification training, it was found that the language model's ability to classify similar contents was improved, which demonstrated the value of using a language model for the contents-based filtering.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 한국정보통신학회 2022년도 춘계학술대회
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• pp.41-43
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• 2022

In order to prevent and block infectious diseases caused by the recent COVID-19 pandemic, non-contact biometric information acquisition and analysis technology is attracting attention. The invasive and attached biometric information acquisition method accurately has the advantage of measuring biometric information, but has a risk of increasing contagious diseases due to the close contact. To solve these problems, the non-contact method of extracting biometric information such as human fingerprints, faces, iris, veins, voice, and signatures with automated devices is increasing in various industries as data processing speed increases and recognition accuracy increases. However, although the accuracy of the non-contact biometric data acquisition technology is improved, the non-contact method is greatly influenced by the surrounding environment of the object to be measured, which is resulting in distortion of measurement information and poor accuracy. In this paper, we propose a context-based bio-signal modeling technique for the interpretation of personalized information (image, signal, etc.) for bio-information analysis. Context-based biometric information modeling techniques present a model that considers contextual and user information in biometric information measurement in order to improve performance. The proposed model analyzes signal information based on the feature probability distribution through context-based signal analysis that can maximize the predicted value probability.

• Atmosphere
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• 제34권1호
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• pp.55-67
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• 2024

This paper aims to provide a detailed introduction to the concept of the Ratio of Predictable Component (RPC) and the Signal-to-Noise Paradox. Then, we derive insights from them by exploring the paradoxical features by conducting a seasonal and regional analysis through ensemble expansion in KMA's climate prediction system (GloSea). We also provide an explanation of the ensemble generation method, with a specific focus on stochastic physics. Through this study, we can provide the predictability limits of our forecasting system, and find way to enhance it. On a global scale, RPC reaches a value of 1 when the ensemble is expanded to a maximum of 56 members, underlining the significance of ensemble expansion in the climate prediction system. The feature indicating RPC paradoxically exceeding 1 becomes particularly evident in the winter North Atlantic and the summer North Pacific. In the Siberian Continent, predictability is notably low, persisting even as the ensemble size increases. This region, characterized by a low RPC, is considered challenging for making reliable predictions, highlighting the need for further improvement in the model and initialization processes related to land processes. In contrast, the tropical ocean demonstrates robust predictability while maintaining an RPC of 1. Through this study, we have brought to attention the limitations of potential predictability within the climate prediction system, emphasizing the necessity of leveraging predictable signals with high RPC values. We also underscore the importance of continuous efforts aimed at improving models and initializations to overcome these limitations.

• Journal of IKEEE
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• 제28권2호
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• pp.221-227
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• 2024

This paper presents a smartphone-attachable vascular compliance monitoring module. The proposed sensor module measures photoplethysmogram (PPG) and reconstructs an accelerated PPG waveform. The feature points are extracted from the accelerated PPG waves, and vascular compliance is estimated using these extracted features. The module is powered via the smartphone's USB terminal and transmits the acquired waveforms along with vascular compliance values through Bluetooth. The transmitted waveforms and vascular compliance value are displayed through the smartphone application. This work proposes an assessment method for consistency of PPG instrumentation, and it was implemented in a processor of sensor module. The proposed sensor module can be easily attached to smartphone that does not support PPG instrumentation, providing simple measurment and numerical analysis of vascular compliance. To verify the performance of the implemented sensor module, we acquired vascular compliance and pulse pressure data from 29 subjects. Pulse pressure, which serves as a representative indicator of vascular compliance, was obtained using a commercial blood pressure monitor. The analysis results showed that the Pearson coefficient between vascular compliance and pulse pressure was 0.778, confirming a relatively high correlation between two metrics.

• Korean Journal of Radiology
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• 제24권10호
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• pp.1028-1037
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• 2023

Objective: To evaluate the computed tomography (CT) features for diagnosing metastatic cervical lymph nodes (LNs) in patients with differentiated thyroid cancer (DTC) and validate the CT-based risk stratification system suggested by the Korean Thyroid Imaging Reporting and Data System (K-TIRADS) guidelines. Materials and Methods: A total of 463 LNs from 399 patients with DTC who underwent preoperative CT staging and ultrasound-guided fine-needle aspiration were included. The following CT features for each LN were evaluated: absence of hilum, cystic changes, calcification, strong enhancement, and heterogeneous enhancement. Multivariable logistic regression analysis was performed to identify independent CT features associated with metastatic LNs, and their diagnostic performances were evaluated. LNs were classified into probably benign, indeterminate, and suspicious categories according to the K-TIRADS and the modified LN classification proposed in our study. The diagnostic performance of both classification systems was compared using the exact McNemar and Kosinski tests. Results: The absence of hilum (odds ratio [OR], 4.859; 95% confidence interval [CI], 1.593-14.823; P = 0.005), strong enhancement (OR, 28.755; 95% CI, 12.719-65.007; P < 0.001), and cystic changes (OR, 46.157; 95% CI, 5.07-420.234; P = 0.001) were independently associated with metastatic LNs. All LNs showing calcification were diagnosed as metastases. Heterogeneous enhancement did not show a significant independent association with metastatic LNs. Strong enhancement, calcification, and cystic changes showed moderate to high specificity (70.1%-100%) and positive predictive value (PPV) (91.8%-100%). The absence of the hilum showed high sensitivity (97.8%) but low specificity (34.0%). The modified LN classification, which excluded heterogeneous enhancement from the K-TIRADS, demonstrated higher specificity (70.1% vs. 62.9%, P = 0.016) and PPV (92.5% vs. 90.9%, P = 0.011) than the K-TIRADS. Conclusion: Excluding heterogeneous enhancement as a suspicious feature resulted in a higher specificity and PPV for diagnosing metastatic LNs than the K-TIRADS. Our research results may provide a basis for revising the LN classification in future guidelines.

• Journal of the Korea Organic Resources Recycling Association
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• 제17권1호
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• pp.88-95
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• 2009

This study is for understanding the domestic possibilities of the high temperature incineration of waste containing Polychlorinated Biphenyls (PCBs) with the analysis of normal operation case and waste gas, fly ash, dioxin about bottom ash, Total-PCBs, Co-PCBs, and the for analysis the heavy metal leaching feature included by bottom ash and fly ash, heavy metal leaching experiment was implemented. The result shows the dioxin density of the waste gas from waste containing PCBs was $0.00699{\sim}0.00763ng-TEQ/Nm^3$, which is lower than $0.0192ng-TEQ/Nm^3$ from the normal operation case. And each Co-PCBs and total PCBs shows $0.00043{\sim}0.00112ng-TEQ/Nm^3$ and $3.06{\sim}3.87ng/m^3$ respectively. The bottom ash test result shows Dioxin 0.00225~0.00630ng-TEQ/g, Co-PCBs 0.00027~0.00082ng-TEQ/g, Total PCBs 0.9~2.6ng/g, and the fly ash shows Dioxin 0.00164~0.00344ng-TEQ/g, Co-PCBs 0.00053~0.00054ng-EQ/g, Total PCBs 0.64~0.84ng/g. The bottom ash and fly ash experiments for heavy metal leaching did not show any leaching but when it comes to the ingredients of the fly ash, Pb elements shows 31.01~237.7ppm, higher than leaching criterion. The analysis of the density of all air pollution material from the waste gas shows the lower value than permissible criterion.