• Journal of Korean Academy of Nursing
• /
• v.51 no.6
• /
• pp.689-702
• /
• 2021

Purpose: This study aimed to develop a situation-specific theory to explain nurses' experiences of the COVID-19 crisis. Methods: The participants were 16 hospital nurses who experienced the COVID-19 crisis. Data were collected through in-depth individual interviews from September 2, 2020 to January 20, 2021. Transcribed interview contents were analyzed using Corbin and Strauss's grounded theory method. Results: A total of 38 concepts and 13 categories were identified through an open coding process. The core category found was becoming a pioneering nurse who turns crises into opportunities. The causal conditions were the chaos of being exposed defenselessly to an unexpected pandemic, fear caused by a nursing care field reminiscent of a battlefield, and moral distress from failing to protect patients' human dignity. The contextual conditions were feeling like the scapegoat of the hospital organization, increasing uncertainty due to the unpredictable state of COVID-19, and relative deprivation due to inappropriate treatment. The central phenomenon was suffering alone while experiencing the dedication of the COVID-19 hero image. The action/interactional strategy were efforts to find a breakthrough and getting the nurse's mind right, and the intervening conditions were gratitude for those who care for broken hearts and getting used to myself with repetitive work. The Consequences were becoming an independent nurse and frustration with the unchanging reality. Conclusion: This study provides the foundation for the nurse's situation-specific theory of the COVID-19 crisis by defining the crisis perceived by nurses who cared for COVID-19 patients and suggesting types of coping with the crisis.

• Journal of Korean Neurosurgical Society
• /
• v.65 no.4
• /
• pp.572-581
• /
• 2022

Objective : Compared to microscopes, exoscopes have advantages in field-depth, ergonomics, and educational value. Exoscopes are especially well-poised for adaptation into fluorescence-guided surgery (FGS) due to their excitation source, light path, and image processing capabilities. We evaluated the feasibility of near-infrared FGS using a 3-dimensional (3D), 4 K exoscope with near-infrared fluorescence imaging capability. We then compared it to the most sensitive, commercially-available near-infrared exoscope system (3D and 960 p). In-vitro and intraoperative comparisons were performed. Methods : Serial dilutions of indocyanine-green (1-2000 ㎍/mL) were imaged with the 3D, 4 K Olympus Orbeye (system 1) and the 3D, 960 p VisionSense Iridium (system 2). Near-infrared sensitivity was calculated using signal-to-background ratios (SBRs). In addition, three patients with brain tumors were administered indocyanine-green and imaged with system 1, with two also imaged with system 2 for comparison. Results : Systems 1 and 2 detected near-infrared fluorescence from indocyanine green concentrations of >250 ㎍/L and >31.3 ㎍/L, respectively. Intraoperatively, system 1 visualized strong near-infrared fluorescence from two, strongly gadolinium-enhancing meningiomas (SBR=2.4, 1.7). The high-resolution, bright images were sufficient for the surgeon to appreciate the underlying anatomy in the near-infrared mode. However, system 1 was not able to visualize fluorescence from a weakly-enhancing intraparenchymal metastasis. In contrast, system 2 successfully visualized both the meningioma and the metastasis but lacked high resolution stereopsis. Conclusion : Three-dimensional exoscope systems provide an alternative visualization platform for both standard microsurgery and near-infrared fluorescent guided surgery. However, when tumor fluorescence is weak (i.e., low fluorophore uptake, deep tumors), highly sensitive near-infrared visualization systems may be required.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.5
• /
• pp.221-228
• /
• 2022

With the application of artificial intelligence technology, robots can provide efficient services in real life. Unlike industrial manipulators that do simple repetitive work, this study presented design methods of 6 degree of freedom robot arm and intelligent object search and movement methods for use alone or in collaboration with no place restrictions in the service robot field and verified performance. Using a depth camera and deep learning in the ROS environment of the embedded board included in the robot arm, the robot arm detects objects and moves to the object area through inverse kinematics analysis. In addition, when contacting an object, it was possible to accurately hold and move the object through the analysis of the force sensor value. To verify the performance of the manufactured robot arm, experiments were conducted on accurate positioning of objects through deep learning and image processing, motor control, and object separation, and finally robot arm was tested to separate various cups commonly used in cafes to check whether they actually operate.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.46 no.1
• /
• pp.99-115
• /
• 2022

The purpose of this study is to explore the benefits of social capital obtained through the use of social media from the perspective of fashion. The study conducted in-depth interviews with 10 women in their 20s who utilized Instagram and YouTube for fashion-related activities. The results show that bonding social capital was related to Instagram and led increasingly to narrow and deep relationships with acquaintances who had already established offline relationships. The study also finds that informational benefit was derived from people who use Instagram image information for smart fashion consumption; in addition, positive feedback on their posts brought the emotional benefit of psychological satisfaction. On the other hand, bridge social capital developed from YouTube users and subscribers. The study discovers that YouTuber public communication or the exchange of opinions leads to an increase in bridge social capital, which is a wide and shallow relationship. Video-based YouTube brought informational benefits as a specific product description, and there were emotional benefits in terms of entertainment while watching videos that combined fashion and entertainment. This report sheds light on individual fashion activities on social media, which is discussed from the perspective of social capital.

• Journal of Popular Narrative
• /
• v.27 no.1
• /
• pp.341-357
• /
• 2021

Didier Éribon's dialogue with Ernst Gombrich, first published in 1991 in France, stands as a curious example of interpreting a scientific mind into a popular narrative. On the occasion of its brand new translation in Korean, this essay examines the encounter of two different languages, that of scholarly art history and the other, of "entretien". Éribon's previous interviews with Georges Dumézil and Claude Lévi-Strauss have already shown the perfect use of dialogue that interprets in simple words some currents of European thoughts of 20th century at its highest level. The double identity found in the extraordinary profile of the author of The Story of Art should help us deal with this particular form of dialogue in depth, and expect another possibility of explaining and reconstructing academia.

• Fashion & Textile Research Journal
• /
• v.23 no.2
• /
• pp.273-289
• /
• 2021

This study aimed to examine the appearance of heated clothing in relation to fashion trends by analyzing constructive components of clothing using product images and actual products. A total of 91 images of domestic and foreign heated clothing products were collected, and a product analysis conducted with six parameters of item classification, namely, concept and image, silhouette, color, number of heating elements, and heating parts. In addition, an in-depth analysis was carried out with 11 products among them, while focusing on further detailed components of the design and heating system. As a result, the overall exterior design of domestic products has been changed from outdoor clothing to daily clothing reflecting the current design trend. Compared with domestic products, foreign products showed a diverse assortment and a greater number of heating regions per individual item of clothing. The current heating system commonly consists of a heating element, power source, controller board, and wires, although the existence and type of switches differed from product to product. To develop a more efficiently heated clothing to expand the market, the design, ease of use, safety, consumer preference, heating functionality, and durability should be considered. Along with design recommendations for future heated clothing, this study also provides a practical guide to the technical aspects of the design of the components of heated clothing.

• Journal of Conservation Science
• /
• v.37 no.6
• /
• pp.659-669
• /
• 2021

In this study, vegetation index, the vegetation index calculated based on hyperspectral images was used to monitor Petroglyphs of Cheonjeon-ri, Ulju from 2014 to 2020. To select suitable the vegetation index for monitoring, indoor analysis was performed, and considering the sensitivity to biocontamination, Normalized Difference Vegetation Index (NDVI) and Triangular Vegetation Index (TVI) were selected. As a result of monitoring using the selected vegetation index, NDVI increased from 2014 to 2018 and then decreased in 2020, after preservation treatment. On the other hand, TVI was difficult to confirm the tendency during the monitoring. This difference was due to the variation in spectral reflectance according to the photographing conditions by year. Therefore NDVI is less sensitive to spectral reflectance deviation than TVI, so it can be used for monitoring. In order for TVI to be used, however, in-depth study is needed.

• The Journal of the Convergence on Culture Technology
• /
• v.7 no.4
• /
• pp.823-831
• /
• 2021

In the Internet age, the digital cultural industry is booming, start-up companies want to win a place in the fiercely competitive red sea market of the Internet, innovative business models have become an important challenge and opportunity for countless companies. Taking the virtual idol "Hatsune Miku" as the example, the analysis is carried out at the levels of technological innovation, value proposition, resource combination, operation process and marketing model. By comparing the differences between the first-generation software Meiko of Crypton and the second-generation software "Hatsune Miku", we will study the components of the business model to explore the characteristics and advantages of this business model, and in-depth operation models and innovations. The analysis is expected to provide a substantial reference for other electronic product and software development companies in their business models.

• The Journal of the Convergence on Culture Technology
• /
• v.8 no.6
• /
• pp.953-958
• /
• 2022

Holographic Stereogram can provide the depth perception without the visual fatigue and dizziness because it use multiple images acquired from the multiple viewpoints. In order to produce a holographic stereogram, it is necessary to obtain perspective images of a live object and record it on film using a digital hologram printer. when acquiring perspective images, the hologram without distortion can be produced only when the perspective images with a constant distance between the camera and the target is obtained. If the target is small, it is possible to keep the constant distance from the camera to object. but if it is large, this is difficult to keep the constant distance. In this study, we photograph the large object using the POI (Point of Interest) function which is one of the smart flight modes of drone to produce perspective images required for the hologram production. after that, problems such as the unexpected shakings and distance change between camera and object is corrected in post production. as a result, we produce the perspective images.

• The Journal of the Acoustical Society of Korea
• /
• v.42 no.5
• /
• pp.422-428
• /
• 2023

Ultrafast ultrasound imaging has been applied to various imaging approaches, including shear wave elastography, ultrafast Doppler, and super-resolution imaging. However, these methods are still challenging in real-time implementation for three Dimension (3D) or portable applications because of their massive data rate required. In this paper, we proposed an adaptive quantization method that effectively reduces the data rate of large Radio Frequency (RF) data. In soft tissue, ultrasound backscatter signals require a high dynamic range, and thus typical quantization used in the current systems uses the quantization level of 10 bits to 14 bits. To alleviate the quantization level to expand the application of ultrafast ultrasound imaging, this study proposed a depth-sectional quantization approach that reduces the quantization errors. For quantitative evaluation, Field II simulations, phantom experiments, and in vivo imaging were conducted and CNR, spatial resolution, and SSIM values were compared with the proposed method and fixed quantization method. We demonstrated that our proposed method is capable of effectively reducing the quantization level down to 3-bit while minimizing the image quality degradation.