• 한국의류학회지
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• 제46권1호
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• pp.116-131
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• 2022

This study used text mining to analyze big data to understand consumers' demand for and perceptions of fashion masks. Based on the text-mining analysis results, a survey was conducted with those living in Korea to investigate the influence of consumers' mask selection criteria on mask brand awareness and purchase intention for fashion masks. "Fashion mask" and "functional mask" were used as the keywords in a text-mining analysis, and an online survey of 242 respondents was conducted. The analysis results were as follows: First, the text-mining analysis extracted commonly appearing words that had a high frequency and TF-IDF, such as "COVID-19," "fashion," "celebrity," "antibacterial," and "filter." This confirmed that during the COVID-19 pandemic, consumers have demanded masks that are both functional and fashionable. Second, among consumers' mask selection criteria, trend and design had positive effects on face-mask brand awareness. Third, face-mask brand awareness had a positive effect on the purchase intention for both brand and fashion masks, and the purchase intention for brand masks had a positive effect on the purchase intention for fashion masks.

• 한국의류학회지
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• 제46권2호
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• pp.292-309
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• 2022

The ongoing COVID-19 pandemic has caused a recession in the fashion industry. Therefore, this study aims to assess the influence of face masks on the selection of fashion products by Korean women in their twenties and thirties. This is highly relevant as the mandatory donning of face masks becomes a social norm. To this end, an in-depth interview and a survey were conducted. The results indicate that wearing a face mask affects consumers' fashion selection criteria in regard to styles, materials, colors, and types. Face masks have gradually contributed to the unification and simplification of fashion styles due to the atmosphere and wearing of the mask itself, which has led to a decline in the overall interest in fashion. Most consumers in this study felt a disconnect between face masks and fashion products, since the former have not been established within most fashion styles. Consequently, consumers had difficulty naturally aligning face masks with various fashion styles, which eventually led to a decreased interest in fashion. This study is significant in that it provides objective data that can be utilized to establish strategies in the fashion industry regarding the integration of face masks.

• 한국응용과학기술학회지
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• 제37권6호
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• pp.1773-1778
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• 2020

본 연구는 히알루론산을 함유한 온도 감응성 하이드로겔 마스크 팩을 이용하여 피부개선효과 및 사용감을 평가하였다. 임상시험 기준에 적합한 30~40대 여성 10명의 시험대상자에게 4주간 주3회 하이드로겔 마스크 팩을 적용하고 수분, 유분, 피부 톤을 측정하였다. 그 결과 피부 수분량은 1회 사용 후 11.3%, 4주 사용 후 58.36% 증가하였고, 유분량은 1회 사용 후 67% 증가 후 일정 값을 유지하고 더 이상 증가하지 않았다. 피부 톤은 4주 사용 후 좌우 뺨 모두 피부 톤이 밝아졌고 사용감 및 체감효능 평가는 87.6% 이상의 긍정적인 답변을 보였다. 이상의 결과로 하이드로겔 마스크 팩은 피부개선에 도움을 주는 우수한 소재로 판단된다.

• 한국정보통신학회논문지
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• 제26권2호
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• pp.193-198
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• 2022

최근 코로나19를 예방하기 위해 마스크 착용 유무와 체온을 확인하는 곳이 많아졌다. 그러나 이러한 것은 사람이 수동으로 측정하거나 한 명씩 기계 앞에서 측정하는 방식이 대부분이므로 측정 방식에 따라 결과가 달라지고 인력 낭비가 발생한다. 또한 기계는 일반적으로 최고 온도만을 측정하므로 발열의 기준 또한 신뢰할 수 없다. 입구에 사람이 몰려 병목이 발생할 수 있으며 측정 장소는 대부분 입구 하나이므로 확진자의 동선 추적시에도 불편하다. 따라서 본 연구에서는 발열자와 마스크 미착용자를 카메라, 열화상 카메라, Haar Cascade 및 결괏값 선별 알고리즘을 활용하여 자동으로 분류하고 실시간으로 알려 전염병 확산을 억제하는 방법에 대해 제안하고자 한다.

• 중환자간호학회지
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• 제16권2호
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• pp.1-14
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• 2023

Purpose : Sleep disturbances in patients in the intensive care unit (ICU) are related to health problems after discharge. Therefore, active prevention and management are required. Hence, identification of the factors that affect sleep in patients who are critically ill is necessary. Methods : The PubMed, Cochrane Library, CINAHL, EMBASE, and Web of Science databases were searched. Selection criteria were observational and experimental studies that assessed sleep as an outcome, included adult patients admitted to the ICU, and published between November 2015 and April 2022. Results : A total of 21,136 articles were identified through search engines and manual searches, and 42 articles were selected. From these, 22 influencing factors and 11 interventions were identified. Individual factors included disease severity, age, pain, delirium, comorbidities, alcohol consumption, sex, sleep disturbance before hospitalization, chronic obstructive pulmonary disease (COPD), cardiovascular disease, and high diastolic blood pressure (DBP), low hemoglobin (Hb), and low respiratory rate (RR). Environmental factors included light level, noise level, and temperature. Furthermore, treatment-related factors included use of sedatives, melatonin administration, sleep management guidelines, ventilator application, nursing treatment, and length of ICU stay. Regarding sleep interventions, massage, eye mask and earplugs, quiet time and multicomponent protocols, aromatherapy, acupressure, sounds of the sea, adaptive intervention, circulation lighting, and single occupation in a room were identified. Conclusion : Based on these results, we propose the development and application of various interventions to improve sleep quality in patients who are critically ill.