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      • KCI등재

        Sustainable Cups in Cafes with Life Cycle Assessment

        정수민,이현경 한국디자인트렌드학회 2023 한국디자인포럼 Vol.28 No.2

        Background Plastic use is one of the major causes of environmental harm. The increase in plastic waste is expected to reach an alarming rate especially with the outbreak of COVID-19. This study proposes an alternative design solution to replace plastic take-out cups in cafes. Specifically, it suggests the use of Spent Coffee Grounds (SCG) as a material to 3D print cups that are disposable, degradable, and environmentally friendly. Methods To demonstrate the proposal of a 3D printed SCG cup, a digital model was created through 3D design tools and forwarded to an outsourcing company with the purchased coffee filament. As for the environmental value of the product, the Life Cycle Assessment (LCA) was referred to as a method of critiquing the eco-friendliness in the production, packaging, transportation, use, and end of life of the cup. The economic value of the product was established through research on the future insight of 3D printing technology. To accumulate consumer response, an online survey was distributed and it sought to 1) identify the demographic of the respondents, 2) determine respondents’ environmental awareness, and 3) evaluate the prototype. The quantitative and qualitative data collected through the survey were analyzed based on personal information and common themes among the suggestions made for the product. Result Based on LCA, the eco-friendliness in the production, use, and end of life were highly positive, while it was mildly positive in packaging and transportation. This result indicates the advantage of the proposed idea as an alternative to plastic take-out cups. Meanwhile, although the economic value is doubtful at the present, it is expected to be optimistic in the future with the growth of the 3D printing industry and the sustainability of the product possesses a positive marketing value. Conclusion The consumer response highlighted the requirement for improvements in design, functionality, and perception of the product.

      • KCI등재

        전공의 교육의 현주소 및 나아갈 방향

        정수민 대한의사협회 2019 대한의사협회지 Vol.62 No.2

        A resident is a preliminary specialist with a medical license. It is also the status of an employee at a training hospital who is trained by clinical faculty. This duality makes the role of a resident unique, because its interpretation differs dramatically depending on whether one focuses on a resident’s status as a trainee or as an employee. Issues regarding patient safety have emerged as residents have come to emphasize their role as employees in discussions of how to balance their work duties with their learning responsibilities. The workload that was taken for granted is no longer considered natural. Two years have elapsed since the enactment of the resident law, which was passed to improve the training environment and working conditions of residents, and limits them to 80 hours of work per week. However, confusion persists in the field. In order to solve problems regarding resident education, new education program with hospitalists and the financial and administrative support from hospitals and the government are important.

      • KCI등재

        위험성평가를 이용한 노후설비에 대한 비용 편익분석 방법

        정수민,정창모,강석민,채승빈,강승균,고재욱 한국가스학회 2020 한국가스학회지 Vol.24 No.4

        Most facilities in chemical plants operate in environments that are outside therange of temperature and pressure that can be encountered on a daily basis, and are vulnerableto aging due to these stresses and environmental conditions. The facilities exposed to theseconditions are not only likely to fail due to cumulative damage, but also lead to accidents ifmaintenance and replacement are not performed.Recommendation guidelines called risk-basedinspection are widely used around the world-wide. However, limits exist for facilities that havealready elapsed for a certain. As a result of the survey on the aging of Ulsan industrial complexin Korea, which carries out proper inspection, many of the facilities have been used for20 years. Also, most of the facilities where the accident occurred have been in operation formore than 20 years. Therefore, this study suggested criteria for classifying devices that haveexceeded a certain period of use as obsolete facilities. In addition, quantitative risk assessmentwas conducted. The safety investment method using the cost-benefit analysis method was proposedin order to calculate the loss cost and reduce the risk by expressing the risks of thecorresponding aged facility as an Economic index. By utilizing the method of cost-benefit analy-sis of old facilities using the quantitative risk assessment presented in this study, it can beexpected to improve the performance and life of old facilities, improve production efficiencyand reliability of the system of facilities, change the recognition of safety management costs,increase employee stability, and reduce loss costs. 대부분의 화학공장 내 설비는 유해물질을 취급하거나, 일상적으로 접할 수 있는 온도 및 압력의 범위를 벗어난환경에서 가동되며 이러한 응력 및 환경조건으로 인하여 노후화에 취약하다. 이러한 조건에 노출된 설비는 지속적인 손상이 누적되어 고장이 발생할 가능성이 높아짐은 물론, 정비 및 교체를 하지 않는다면 사고로 이어진다. 전세계적으로 위험성기반검사(Risk Based Inspection)라는 권고지침이 통용되고 있다. 하지만 RBI는 이미 일정시간 경과한 설비에 대해서는 한계가 존재한다. 적절한 점검을 수행하는 우리나라 울산 산업단지의 노후화 실태 조사 결과, 많은 수의 설비들이 사용기간이 20년을 경과하였다. 또한, 사고가 일어난 설비 대부분이 20년 이상 운영해 왔다. 따라서 본 연구에서는 일정 사용기간이 초과된 장치를 노후설비로 분류하는 기준을 제시하였다. 또한, 이에 대하여정량적 위험성평가를 진행하였다. 이로 인해 도출된 해당 노후설비의 위험성을 Economic index로 표현하여 손실비용을 산정하고 Risk를 감소하기 위하여 비용편익 분석 방법을 활용한 안전투자 방법을 제안하였다. 본 연구에서 제시한 정량적 위험성 평가를 이용한 노후설비의 비용편익 분석 방법을 활용하여 노후 설비의 성능 향상 및 수명 연장, 생산 효율성 및 설비 계통 신뢰도 향상, 안전관리 비용 인식 변화, 그리고 직원의 안정감 증대, 손실비용의 감소를 기대할 수 있다.

      • KCI등재

        Increased Risk of Osteoporosis in Gastric Cancer Survivors Compared to General Population Control: A Study with Representative Korean Population

        정수민,신동욱,이지은,진상만,김성 대한암학회 2019 Cancer Research and Treatment Vol.51 No.2

        Purpose Although several studies have suggested that osteoporosis is common in survivors of gastric cancer (GC), no study to date has directly assessed the risk for osteoporosis in GC survivors compared to matched controls. Thus, we aimed to investigate the relative risk for osteoporosis in survivors of GC compared to general population. Materials and Methods We used the Korea National Health and Nutrition Examination Survey data (2008-2011). Patients with a history of GC (n=94) were defined as case among 8,142 individuals over 50 years old who were evaluated by dual-energy X-ray absorptiometry. Controls (n=470) were matched to cases by age and sex in a 1:5 ratio. Osteopenia (–2.5 < T-score < –1.0) and osteoporosis (T-score  –2.5) were defined. Results The prevalence of osteoporosis in GC survivors was 30.2%, which was significantly greater than that of controls (19.7%). In total, GC survivors had a 3.7-fold increased risk for osteoporosis compared to controls (p=0.021). In addition, the risk for osteoporosis of the total proximal femur total (TF) and femur neck (FN) was significantly increased among GC survivors compared to controls (adjusted relative risk, 4.64; 95% confidence interval, 1.16 to 18.6 in TF and adjusted relative risk, 3.58; 95% confidence interval, 1.19 to 10.8 in FN). Furthermore, we found sub-optimal daily calcium intake and mean serum levels of 25- hydroxy-vitamin D in both groups. Conclusion GC survivors are at significantly increased risk for osteoporosis, especially in the femur. Clinically, our finding supports the importance of screening bone health and adequate nutrient supplementation in survivors of GC.

      • KCI우수등재

        SEC 프로세스를 통한 이종 산업 간 데이터 결합 문제 해결

        정수민,오현진,정은혜,조수현 한국데이터정보과학회 2024 한국데이터정보과학회지 Vol.35 No.5

        개인화 서비스의 중요도가 높아짐에 따라 다양한 산업 간 데이터 결합이 활성화되고 있다. 그러나 기존 데이터 결합 방식은 민감한 정보를 포함한 데이터를 직접 주고 받기 때문에 개인정보 유출 가능성이 높다는 문제점을 가지고 있다. 이에 본 연구에서는 성별 또는 연령과 같은 최소한의 고유정보를 활용해 데이터를 결합하는 방식을 제안한다. 데이터 보안을 강화하기 위해 연합 학습 (Federated learning)과 분할 학습 (Split learning)을 차용하여 모델을 학습시켰으며, 그 결과 SEC 프로세스를 통해 데이터를 결합한 경우, 결합 전 단일일 데이터에 비해 더욱 향상된 예측 성능을 보였다. 이처럼 SEC 프로세스를 통해 최소한의 고유정보를 사용한 데이터 결합은 개인정보를 침해를 예방하여 프라이버시 보호를 강화한다는 점에서 기존 데이터 결합 방식의 문제 개선과 더불어, 더욱 향상된 예측을 통해 다양한 서비스에 적용할 수 있을 것으로 기대된다. As the importance of personalized services increases, data combination across different industries is becoming more active. However, existing data combining methods have the problem of high possibility of personal information leakage because of the direct exchange of data containing sensitive information. So in this study, we suggest a data combination method using minimal unique information such as gender and age. We used Federated Learning and Split Learning to enhance data security when training the model. As a result, combining data through the SEC process showed improved prediction performance compared to raw data. Data combination using minimal unique information through the SEC process enhances privacy protection by preventing infringement of personal information. So we expect this method can not only improving problems with existing data combination methods, but also be applied to various services through improved predictions.

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