• Journal of Fashion Business
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• v.12 no.1
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• pp.45-62
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• 2008

The purpose of this study is to identify how the components of a fashion show can influence the perception of the spectators, and what the spectators most like in a fashion show. Through the analysis on the literature reviews and in-depth interviews with professional's organizing fashion shows we established a list of the main components, which allowed us to set up a questionnaire. The results regarding the viewing satisfaction of the spectators at a fashion show were investigated and came out as follows: First, the components of fashion show are generally viewed to be four factors: the program, the directing, the model, and the sets. These four factors are influencing the perception of the spectators and are very important to the success of a fashion show and the enjoyment of a fashion show by spectators. Second, it is shown to us that the most influential factor for the perception is 'the directing'(stage scenery, background music, lighting, effects etc.), and the next is 'the sets'(convenience seat, display, service facilities etc.). So, in order to raise the level of satisfaction for the spectators, it is advisable to concentrate on these two main factors. Finally, we would suggest that the organizer of a fashion show shall carefully analyze how spectators understand and perceive the components of a fashion show. This study provides information about how the components of a fashion show can influence the spectator's perception and presents suggestions on how to improve a fashion show by reorienting it towards the satisfaction of the spectator. In addition, there needs to be a strategy by customer satisfaction experience to reinforce a customer-oriented fashion show and heighten a viewing satisfaction for spectators.

• Journal of Convergence for Information Technology
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• v.11 no.10
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• pp.36-44
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• 2021

Estimation on SW Sizing applied to fintech is very difficult, a task requiring long time, it is difficult for client companies and developer companies to accurately calculate the size of software development. The size is generally estimated based on the experience of project managers and the general functional scoring method. In this paper, propose a model that can be applied to fintech development projects by quantitatively calculating the required functions from the user's point of view, measuring the scale, and calculating the scale in real time. Through the proposed model, the amount of work can be estimated prior to development and the size can be measured, and the M/M and the estimated quotation amount can be calculated based on the program list by each layer. In future studies, by securing size computation data on existing the Fintech Project in mass, research on accurate size computation would be required.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.4
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• pp.79-89
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• 2021

Electronic learning (e-learning) empowers the higher education in providing sustainable instruction during the infrequent circumstance when the wide-spreading disastrous challenge of the COVID-19 results in the closure of various sectors in the society. During this time, e-learning serves the levels of the education sector such as higher education well by delivering and receiving materials from distance with respect to movement restrictions imposed by the government, for example the Movement Control Order (MCO) in Malaysia. In this qualitative survey, the existing e-learning challenges and the recommended solutions to the problems from the senior lecturers' perspectives were collected through an online open-ended questionnaire. A number of five senior lecturers out of eight at the Universiti Teknologi Malaysia (UTM) answered the questionnaire. The UTM has been capable of providing e-learning courses for all of its lecturers and students during the closure of higher education institutions owing to the pernicious health conditions stemmed from the crisis of the COVID-19. The major existing challenges found in the e-learning program at the UTM and the suggested solutions to address them are listed and the main themes are illustrated in the word cloud format using the NVivo software. In the end, the conclusion is paragraphed and the future work is proposed. Overall, the purpose of this study is to address the e-learning challenges and to prepare a list of recommendations that can serve as solutions from the standpoint of the UTM senior lecturers during the MCO in Malaysia.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.215-222
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• 2021

As the importance of human-computer interaction (Human Computer Interface) technology grows and research on HCI is progressing, it is inferred about the research emotion inference or the computer reaction according to the user's intention, not the computer reaction by the standard input of the user. Stress is an unavoidable result of modern human civilization, and it is a complex phenomenon, and depending on whether or not there is control, human activity ability can be seriously changed. In this paper, we propose an intelligent emotional recommendation system using music as a way to relieve stress after measuring heart rate variability (HRV) and acceleration photoplethymogram (APG) increased through stress as part of human-computer interaction. The differential evolution algorithm was used to extract reliable data by acquiring and recognizing the user's biometric information, that is, the stress index, and emotional inference was made through the semantic web based on the obtained stress index step by step. In addition, by searching and recommending a music list that matches the stress index and changes in emotion, an emotional recommendation system suitable for the user's biometric information was implemented as an application.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.333-342
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• 2021

In this study, we analyzed the vocabulary, lemmas, keywords, and n-grams in 『Treasure Island』 to identify certain linguistic features of this British-American children's adventure novel. The current study found that, contrary to the popular claim that frequently-used words are important and essential to a story, the set of frequently-used words in 『Treasure Island』 were mostly function words and proper nouns that were not directly related to the plot found in 『Treasure Island』. We also ascertained that a list of keywords using a statistical method making use of a corpus program was not good enough to surmise the story of 『Treasure Island』. However, we managed to extract 30 keywords through the first quantitative keyword analysis and then a second qualitative keyword analysis. We also carried out a series of n-gram analyses and were able to discover lexical bundles that were preferred and frequently used by the author of 『Treasure Island』. We hope that the results of this study will help spread this knowledge among British-American children's literature as well as to further put forward corpus stylistic theory.

• Journal of radiological science and technology
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• v.44 no.6
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• pp.655-661
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• 2021

Positron emission tomography (PET) images is affected by acquisition time, short acquisition times results in low gamma counts leading to degradation of image quality by statistical noise. Noise2Void(N2V) is self supervised denoising model that is convolutional neural network (CNN) based deep learning. The purpose of this study is to evaluate denoising performance of N2V for PET image with a short acquisition time. The phantom was scanned as a list mode for 10 min using Biograph mCT40 of PET/CT (Siemens Healthcare, Erlangen, Germany). We compared PET images using NEMA image-quality phantom for standard acquisition time (10 min), short acquisition time (2min) and simulated PET image (S2 min). To evaluate performance of N2V, the peak signal to noise ratio (PSNR), normalized root mean square error (NRMSE), structural similarity index (SSIM) and radio-activity recovery coefficient (RC) were used. The PSNR, NRMSE and SSIM for 2 min and S2 min PET images compared to 10min PET image were 30.983, 33.936, 9.954, 7.609 and 0.916, 0.934 respectively. The RC for spheres with S2 min PET image also met European Association of Nuclear Medicine Research Ltd. (EARL) FDG PET accreditation program. We confirmed generated S2 min PET image from N2V deep learning showed improvement results compared to 2 min PET image and The PET images on visual analysis were also comparable between 10 min and S2 min PET images. In conclusion, noisy PET image by means of short acquisition time using N2V denoising network model can be improved image quality without underestimation of radioactivity.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.6
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• pp.133-144
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• 2021

This study aims to estimate location of land mammals habitat by analyzing spatial data and investigate how to apply environmental DNA monitoring methodology to lotic system in Yangpyeong-gun, Gyeonggi-do. Environmental DNA sampling points are selected through spatial analysis with QGIS open source program by overlaying Kernel density of wild boar(Sus scrofa), elevation, slope and land-cover map, and 81 samples are collected. After 240 mL of water was filtered in each sample, metabarcoding technique using MiMammal universal primer was applied in order to get a whole list of mammal species whose DNA particles contained in filtered water. 8 and 22 samples showed DNA of wild boar and water deer, respectively. DNA of raccoon dog, Eurasian otter, and Siberian weasel are also detected through metabarcoding analysis. This study is valuable that conducted in outdoor lotic system. The study suggests a new wildlife monitoring methodology integrating overlayed geographic data and environmental DNA.

• Journal of People, Plants, and Environment
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• v.23 no.2
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• pp.159-170
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• 2020

The purpose of this study was to understand the current status of education and programs and to identify the items that urban residents need most for garden management. First of all, there were 45 sites (40.5%) with gardens operated by city and county local governments nationwide, and 41(91.1%) of them had dedicated staff (1.8 persons on average). The average area of gardens was 18,623 m², garden area per person was 20.27m², the average number of participants was 683, and the average period of use was 8.69 months. In addition to gardening activities, 14 (31.1%) out of 45 sites were operating small group meetings, with an average of 2.29 meetings and 67 participants. In the satisfaction survey after gardening activities, 88.9% of 18 sites were satisfied. According to the questionnaire about education and programs related to garden users, an average of four sessions were conducted per education. In terms of education, the contents were in the following order: basic education on garden cultivation (33.9%) > prior education on garden operation (28.9%) > pest control (14.0%) > eco-friendly management (11.6%) > pesticides and Positive List System (9.9%) > others (1.7%). Over 95% of the respondents were generally satisfied. Regarding the perception survey on which items are needed to develop garden management guidelines, the most necessary items were in the order of crop management (38.7%) > public garden etiquettes among users (27.9%) > pest control (14.4%) > weed management (13.5%) > activities using harvest (5.4%). The contents that are to be included in the guidelines were in the order of garden planning and crop selection (17.2%) > cultivation techniques and schedule (16.5%) > pest and soil management (15.7%) > introduction of garden crops and gardening models (12.7%) > garden etiquettes (10.7%). In establishing urban garden management plans by region, the results will have high utility value as the basic data for continuous garden operation by setting a direction that meets the regional characteristics as well as the needs of urban residents.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.643-651
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• 2022

This study was conducted to examine the oral health, dental treatment and insurance awareness of the community during the COVID-19 period from September 1 to October 29, 2021 for patients who visited a local dental clinic in Gangwon-do. For analysis, SPSS Statistics 24.0 program was used. As a result of the analysis, it was found that oral health status, interest in oral health, and awareness of health insurance expansion affect dental treatment during the COVID-19 period. In addition, those who did not receive oral health education, those with a high school diploma or lower, and those with poor oral health showed positive results for dental treatment during the COVID-19. In conclusion, it is necessary to expand publicity on oral health education, and to list the cost of infection control in health insurance and separate compensation materials. In future research, I think that it is necessary to conduct research through a variety of subjects and study the expansion of insurance in detail.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.625-633
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• 2024

This study was attempted to identify the perception and experience of hospital nurses on medication errors of high-risk intravenous drugs, and to identify the causes of medication errors and ways to improve them. The subjects of the study were nurses with work experience related to high-risk intravenous administration working at a university hospital located in D City, and data were collected between May 16 ~ 30, 2021. As a result of the study, six key factors were identified as the key factors in the safety of high-risk intravenous injections: the lack of a protocol for the administration of major drugs in each ward, the lack of training in the operation of the injection machine, the lack of standardized procedures for administering high-risk intravenous injections, the lack of individualized medication training for nurses, the lack or lack of the hospital's own drug list, and the lack of identification of drugs packaged in similar containers. At the nursing practice level, it is proposed to apply a high-risk intravenous medication safety program and conduct a future study to identify safety outcome indicators.