• 대한안전경영과학회지
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• 제16권2호
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• pp.231-236
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• 2014

In this study, the changes in collection efficiencies due to the time changes of activated carbons were ascertained, and in order to identify the magnitude of adsorption, the before-use and after-use iodine adsorption values were analyzed. In addition, as a result of examining the characteristics of continuous process and non-continuous process and as a result of investigating whether the emission standards would be maintained, the continuous process and printing facilities were seen as not being able to maintain the emission standards. Also were found, in the case of non-continuous process,-taking into consideration the special nature of the job -for 4${\o}$ palletized charcoal, a collection efficiency near 50% was shown even after 96 hours. Also, when the inlet concentration was about 300ppm, it is thought that the emission standards would be maintained if the activated carbons are replaced within at least 96 hours in the case of 4${\o}$ palletized charcoal and the use was deemed pointless in the case of carbon. The results of this study are expected to provide assistance in selecting replacement periods for activated carbons and in selecting absorbents at the project sites, and are expected to be of significant help in the selection of precipitators that can collect total hydrocarbons for compliance of the emission standards.

• Applied Biological Chemistry
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• 제28권3호
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• pp.137-141
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• 1985

6종의 찰곡류, 즉 찰벼(한강 및 올찰), 찰보리, 차조, 찰수수, 찰옥수수 및 율무에서 전분을 분리하여 그들의 몇가지 이화학적 특성에 관하여 분석 비교하였다. 1. 광학현미경으로 살펴본 전분입자의 크기는 $4.2{\sim}19.0{\mu}$의 범위로서 올찰 4.2, 한강 4.3. 찰보리 14.8, 율무 12.0. 차조 9.6, 찰수수 19.0, 찰옥수수 $13.0{\mu}$이었다. 2. X-선 회절에 의한 결정구조는 A-type이었다. 3. Blue value는 $0.02{\sim}0.08$의 범위였다. 4. Amylopectin분자의 1 segment당 D-glucose 평균 중합도는 $21{\sim}23$이었다. 5. 팽화력은 $180{\sim}280$의 범위로서 차조, 찰보리가 낮은 편이고, 율무, 찰수수, 올찰, 한강 등은 높은 편이다.

• 대한지역사회영양학회지
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• 제8권2호
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• pp.220-230
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• 2003

The purpose of this study was to investigate consumer preferred formats of nutrition labels: the type of nutritional information provided on the labels. A survey was conducted on 222 housewives between the age of 20 and 65 in Daejeon city in 1998, using an interview questionnaire showing illustrated nutritional label formats. Among twelve nutrients and caloric values listed on the nutrition labels, the housewives ranked their interest in the items in the following order of calorie (58.56%), calcium (56.76%), cholesterol (54.05%), protein (39.19%) and vitamin C (36.04%). The majority of the subjects (69.37%) checked labels when they bought milk or dairy products, whereas only 8.11% looked at labels when they bought Ramyon or noodles. Most of the subjects (90.99%) preferred products with labels with nutritional information as compared with products without labels. this was especially so true of the younger individuals and of pc-ople who checked food labels more frequently. The subjects preferred labeling which described the nutrient content per Package (55.41%), sewing size (32.88%) and food weight of 1009 (11.71%) as a standard nit. Generally, they prefer-red a simplified list to a detailed list of the number of nutrients, a figure graph to bar graph in nutrition claim, vertical bar graph to horizontal bar graph showing the nutritional content of foods and a web-type graphic format to a radiation-format when describing the item's percentage of the Korean RDA's nutrient content. The subjects who checked labels frequently especially preferred detailed list, while housewives with job or with unhealthy family members preferred a simplified list and graphic, rather than a numerical display. From this result, it is suggested that providing consumers with more nutrients information in a more easily understood graphic format would encourage the consumers to check nutritional labels. Therefore this should be considered when developing the regulations far nutrition labeling or when educating the Public about nutrition. (Korean J Community Nutrition 8(2) : 220∼230, 2003)

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제8권6호
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• pp.257-264
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• 2019

최근 자연언어처리 분야에서 딥러닝 모델이 좋은 성과를 보이고 있다. 이러한 딥러닝 모델의 성능을 향상시키기 위해서는 많은 양의 데이터가 필요하다. 하지만 많은 양의 데이터를 모으기 위해서는 많은 인력과 시간이 소요되기 때문에 데이터 확장을 통해 이와 같은 문제를 해소할 수 있다. 그러나 문장 데이터의 경우 이미지 데이터에 비해 데이터 변형이 어렵기 때문에 다양한 문장을 생성할 수 있는 생성 모델을 통해 문장 데이터 자동 확장을 해보고자 한다. 본 연구에서는 최근 이미지 생성 모델에서 좋은 성능을 보이고 있는 생성적 적대 신경망 중 하나인 CS-GAN을 사용하여 학습 데이터로부터 새로운 문장들을 생성해 보고 유용성을 다양한 지표로 평가하였다. 평가 결과 CS-GAN이 기존의 언어 모델을 사용할 때보다 다양한 문장을 생성할 수 있었고 생성된 문장을 감성 분류기에 학습시켰을 때 감성 분류기의 성능이 향상됨을 보였다.

• Geomechanics and Engineering
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• 제18권4호
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• pp.339-352
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• 2019

Rockmass parameters are used in the design of engineering structures built in rock and soil. One of the most important of these parameters is the rockmass Emass (Emass). Determination of the Emass of rockmass is a long, hard and expensive job. Therefore, empirical formulas developed by different researchers are used. These formulas use the elastic modulus of the material as a parameter. This value is a constant value in the design. However, engineering structures remain under different loads depending on many factors, such as topography, geometry of the structure, rock / soil properties. Time is other important parameter for rock/soil structure. With the start of the excavation, the loads that the structure is exposed to will change and remain constant at one level. In the new proposed method, the use of different Emass calculated from empirical formulas using the different material elastic modulus, which has different values under different loads as time dependent, was investigated in rock/soil structures during design. The performance of the stability analysis using different deformation modules was questioned by numerical modeling method. For this query, a sub-routine which can be integrated into the numerical modeling software has been developed. The integrated sub-routine contains the formula for the Emass, which is calculated from the material elasticity modules under time dependent and different constant loads in the laboratory. As a result of investigations conducted in 12 different field studies, the new proposed method is very sensitive.

• Safety and Health at Work
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• 제10권2호
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• pp.141-150
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• 2019

Background: Evidence on associations between occupational diesel exhaust and gasoline exposure and colorectal cancer is limited. We aimed to assess the effect of workplace exposure to diesel exhaust and gasoline on the risk of colorectal cancer. Methods: This case-control study included 181,709 colon cancer and 109,227 rectal cancer cases diagnosed between 1961 and 2005 in Finland, Iceland, Norway, and Sweden. Cases and controls were identified from the Nordic Occupational Cancer Study cohort and matched for country, birth year, and sex. Diesel exhaust and gasoline exposure values were assigned by country-specific job-exposure matrices. Odds ratios and 95% confidence intervals were calculated by using conditional logistic regression models. The results were adjusted for physical strain at work and occupational exposure to benzene, formaldehyde, ionizing radiation, chlorinated hydrocarbons, chromium, and wood dust. Results: Diesel exhaust exposure was associated with a small increase in the risk of rectal cancer (odds ratio - 1.05, 95% confidence interval 1.02-1.08). Gasoline exposure was not associated with colorectal cancer risk. Conclusion: This study showed a small risk increase for rectal cancer after workplace diesel exhaust exposure. However, this finding could be due to chance, given the limitations of the study.

• 한국도서관정보학회지
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• 제50권2호
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• pp.261-283
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• 2019

대학생은 청소년기에서 성인기로 진입하는 발달단계상의 과도기로, 아직 학생의 신분이기 때문에 경제적인 측면에서 부모에게 의존을 하는 등 주체적으로 결정할 수 있는 범위가 제한되어 있다. 하지만 스스로 공부해야 하고 직업 탐색을 통해 나아갈 길을 모색해야 하는 등의 자기 결정권과 책임 또한 높아지는 시기이다. 따라서 중 고등학생 시기와 마찬가지로 자아정체감의 혼란을 겪을 수 있다. 이때 전통적 가치를 배우고 현 사회를 조망할 수 있는 주제 분야의 책을 함께 읽고, 여러 사람들과 이야기를 나누며 인식의 범위를 확장할 수 있다면 성숙을 기할 수 있을 것이다. 이에 본 연구에서는 전국 문헌정보학과 대학생 독서회의 사례를 바탕으로, 대학생 대상의 독서회를 조직하고 운영하는데 필요한 방안들을 제안하고자 한다.

• 대한토목학회논문집
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• 제39권4호
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• pp.531-540
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• 2019

기존의 도저 생산성 연산 모델은 각각 서로 다른 입력변수, 공식, 생산산성 보정 요인 및 실험 데이터를 사용한다. 본 논문은 PLS모델과 Caterpillar 모델로 부터 취득한 생산성 결과를 구체적으로 서술함으로써 산업표준으로 인정 될 수 있는 방법론을 제시한다. 본 방법론은 현장으로부터 수집한 입력 변수, 성능차트, 그리고 각 수식들을 확인하고 이들을 단일 계산도구로써 구현한다. 본 연구는 그래픽 추정에 대한 의존도를 제거함으로써 PLS모델이 Caterpillar 모델에서 사용되고 있는 수계산 프로세스를 대체 할 수 있음을 검증하였다. Caterfillar 모델을 PLS 모델로 대체하고 각 과정들을 함수로 대체하는 것은 현장정보를 실시간으로 수집하고 적시에 도저의 생산성을 평가할 수 있도록 기여한다. 본 연구를 통해 연구원과 실무자들은 현장의 생산성 보정요인들을 효과적으로 처리하고 이로부터 생산성을 제어할 수 있도록 한다. 본 방법론은 프로젝트 적용 사례를 통해 실용성과 유효성을 검증하였다.

• 동의신경정신과학회지
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• 제31권4호
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• pp.289-299
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• 2020

Objectives: The aim of this study is to investigate current research trends of Four Pillars of Destiny and verify its values and potential in the counselling scene, as the Four Pillars of Destiny's territory has been expanding to counselling, medical and psychiatric realm nowadays. Methods: The studies were searched from psychotherapy to general consultation, directly or indirectly related to counseling and Four Pillars of Destiny. Twenty-one published research studies were selected for analysis. The studies were categorized into 7 groups, meta-analysis, comparison with other personality tests, user's trend analysis, utilization in job counseling, disease prediction study, utilization in treatment counseling, and use in Korean medicine. Results: The selected studies attempted to expand Four Pillars of Destiny's usage through combination with other fields such as artificial intelligence, Korean medicine, and personality test. Furthermore by analyzing Four Pillars of Destiny itself to extract its key elements in counseling, such as therapeutic counseling factors and occupational counseling factors. Conclusions: At present, there are no standard use of Four Pillars of Destiny in counseling scene, for no large-scale research has been conducted or completed on this subject. This current status quo leads this paper to end up just understanding the counseling factors and possibilities of Four Pillars of Destiny rather than its psychological theory and clinical effect. However, this research trend analysis will be helpful in preparing future studies investigating Four Pillars of Destiny's counseling effect, application in the counseling scene and its psychological theory. Also, further studies, including confirmation of the theory through the operational definition, prospective research, control study, statistical technique are required in order to evaluate Four Pillars of Destiny's psychological theory and its effects to verify its use in clinical scenes.

• 한국임상약학회지
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• 제31권2호
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• pp.145-152
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• 2021

Background: The Life-Sustaining Treatment Decision-Making Act has allowed anyone aged 19 or older to sign an Advance Directive not to receive life-sustaining treatment when they are in the 'death process'. Recently, the Korean Pharmaceutical Association announced to raise awareness of the Advance Directive to the general public through community pharmacies across the country. This study aimed to investigate the public's willingness to accept pharmacist's consultation regarding the Advance Directive and to present future directions to pharmacists Methods: This cross-sectional questionnaire study using 16-items was conducted in adults, Study subjects were recruited by convenience sampling method during August 5-15, 2020. Results: Of 460 respondents, 51.7% were younger than 30-year-old and 58.7% were not in the healthcare field in terms of job or major. 60.2% knew about the Advance Directive and 81.7% agreed the necessity to sign when healthy. 50.0% had the willingness to consult with pharmacists on the Advance Directive for well-dying and 80.4% preferred verbal explanation together with written information. Simple linear regression analysis results showed a significant relationship between trust in pharmacists or satisfaction with pharmacist's communication and willingness to use pharmacist' consultation on the Advance Directive (1-point increases in values measured on a five-point scale are associated with 0.464 and 0.486 increases, respectively.) Conclusion: This study suggests that pharmacists need to improve the public's trust and communication capability to satisfy with public's demands on well-dying service.