• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.21-22
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• 2009

유비쿼터스 사회(Ubiquitous Society)로의 진입에 발맞추어 USN(Ubiquitous Sensor Network) 기반의 인간 중심적 편의 시스템에 관한 연구가 활발하게 진행되고 있다. 그 중 대형 시장을 갖는 차량 편의시설에 관한 연구는 지능형 차량 시스템(Intelligent Car System)을 중심으로 활발히 이루어지고 있다. 지능형 차량 시스템의 주요 연구는 자동 항법 장치, 사고 예방 장치, 자가 진단 시스템 등 탑승자의 편의성과 안전성을 중심으로 진행되었다. 그러나 탑승자의 사고 발생 시 응급 상황 처리를 위한 지원 시스템은 미미하다. 탑승자 부상으로 사고 신고를 하지 못할 경우, 사고지점 확인, 탑승자의 위급(현재) 상황, 부상 정보와 같은 정보를 얻을 수 없어 응급 상황 대처에 신속하지 못할 수 있다. 따라서 본 논문은 다양한 센서를 이용하여 차량의 정보를 수집하고, 사고 판단 시 차량 위치 정보, 탑승자 상황 정보를 응급 기관에 전달할 수 있는 차량용 스마트 안전장치를 설계 및 구현하였다. 테스트를 위해 Intel PXA255 MCU와 AM-3AXIS(3축 가속 센서), MDSM-1000A(지자기 센서), RX-M800S CDMA, GPS520, Alpha cam, Flex Sensor로 시스템을 제작하였으며 모의 도로 모형에서 테스트 하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.61-61
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• 2020

최근 수문기상학 분야에서 레이더 강수량을 활용한 응용연구가 활발하게 진행되고 있다. 하지만 레이더 강수량은 대류성 및 층상형 등과 같이 강수특성을 기준으로 레이더 반사도-강수량(Reflectivity-Rainfall, Z-R) 관계식 매개변수를 시공간적으로 동일하게 적용하여 레이더 강수량을 산정하는 방법론은 지상관측 강수량과 정량적인 편의 오차(systematic error)를 발생시킬 수 있는 문제점이 있다. 본 연구는 장기간의 레이더 합성장 반사도를 활용하여 Z-R 관계식 매개변수를 산정하였으며, 이 과정에서 Bayesian 추론 기법을 도입하여 Z-R 관계식 매개변수의 불확실성을 정량화하였다. 추가적으로 편의 오차를 최소화하기 위하여 계절성을 고려한 Z-R 관계식을 산정하였다. 건기와 우기로 구분하여 산정된 Z-R 관계식 매개변수의 공간적으로 변동성과 더불어 강수의 계절적 특성에 기인하는 Z-R 관계식 매개변수의 역비례 관계를 확인하였다. 최종적으로, 제안된 방법론으로 산정된 레이더 강수장은 일반적으로 레이더 강수량 산정에 널리 이용되는 Marshall-Palmer Z-R 관계식으로 산정된 강수장에 비하여 우수한 통계지표를 제시하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.41-41
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• 2021

최근 전 세계적으로 급증하는 기후변화의 영향으로 이상기후로 인한 자연재해들의 강도 및 발생 빈도의 증가가 다양한 연구를 통하여 확인되고 있으며, 이를 대비 및 대응하기 위한 방안수립 연구가 세계의 가장 중요한 주제로 부상되고 있다. 우리나라의 경우에는 기후변화에 따른 심각성 문제가 대두되고 있지만 국가적 대응기반조성 및 수자원정책 의사결정에 직접적으로 활용될 수 있는 일관성 있고 통합적인 기후 정보가 부족한 실정이다. 미래 기상 변동성을 나타내는 기후모델은 전 지구적 대규모 기상장(large scale climate pattern)을 비교적 정확하게 묘사하는 것으로 알려져 있으나 모형에 내재해 있는 시·공간적 편의(spatial-temporal bias) 및 불확실성으로 인하여 통계학적 상세화가 필수적으로 요구된다. 이러한 편향성은 일반적으로 지상 관측 자료를 격자에 보간하여 보정하는 방법이 적용되고 있지만, 관측자료의 불연속성 및 관측소의 불균등성으로 인하여 공간적 신뢰성이 낮다. 이에, 본 연구에서는 Bayesian 기반의 Kriging을 통한 공간적 편의보정 및 QDM(quantile delta mapping)을 연계한 새로운 격자 기반의 통계적 상세화 모형 Bayesian Kriging-QDM을 개발하였다. 본 연구를 통하여 산정된 결과는 과거자료에 근거하여 이루어지는 기존의 보수적인 수자원 관리 체계의 위험성을 저감 시킬 수 있는 의사결정에 직접적으로 활용될 수 있는 기초 자료로 이용 가능할 것으로 판단된다.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.326-326
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• 2022

기후 변화 시나리오는 온실가스, 에어로졸, 토지이용 변화 등 인위적인 원인으로 발생한 복사강제력 변화를 지구시스템 모델에 적용하여 산출한 미래 기후 전망정보(기온, 강수량, 바람, 습도 등)를 생산하는데 활용된다. 또한, 미래에 기후변화로 인한 영향을 평가하고 피해를 최소화하는데 활용할 수 있는 선제적인 정보로 활용된다. GCM과 RCM은 구조 및 모수화 과정, 불확실성 등의 한계로 인하여 상대적으로 큰 시공간적 규모를 가지며, 실제 관측된 기상인자들을 재현하는데 시공간적 차이 즉 편의(bias)가 발생하며. 실제 관측된 기상인자의 시간적 변화 특성을 재현하지 못하는 문제점을 내재하고 있는 것으로 보고되고 있다. 이러한 점에서 기후모델에서 생산된 정보를 수문학적으로 적용하기 위해서는 시공간적 상세화와 편의 보정은 필수적이다. 본 연구에서는 관측자료를 사용하여 재해석 자료를 편의보정 한 뒤. 기후 변화 시나리오를 합성곱 신경망(CNN)을 기반으로 상세화 과정을 진행하여 고해상도 자료를 생산하였으며, CNN 기반 상세화 기법 적용성은 지상 관측자료 대상으로 평가하였다.

• Culinary science and hospitality research
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• v.21 no.6
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• pp.49-62
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• 2015

Give that statistical analysis is an essential component of foodservice-related research, the purpose of this review is to analyse research trends of statistical methods applied to foodservice-related research. To achieve these objective, this study carried out a content analysis on a total of 251 out of 415 research articles published in The Korean Journal of Culinary Research(TKJCR) from January 2010 to December 2013. Of the total 164 research articles focussing on natural science research, qualitative research, articles written in English were excluded from the scope of this study. The results of this study are as follows. First, it turned out that 269 research articles applied quantitative research methods, and only 10 articles applied qualitative research methods among the 279 research articles based on social science research methods. Second, 20 article (8.0%) among the 251 did not specify the statistical methods or computer programs that were used for statistical analysis. Third, it was found that 228 articles (90.8%) used the SPSS program for data analysis. Fourth, in terms of frequency of use, it was revealed frequency analysis was most used, followed in order by reliability analysis, exploratory factor analysis, correlation analysis, regression analysis, structural equation modeling, confirmatory factor analysis, t-test, variance analysis, and cross tabs analysis, However, 3 out of 56 research articles that used a t-test did not suggest a t-value. 10 out of 64 articles that used ANOVA and demonstrated a significant difference in between-group mean did not conducted post-hoc test. Therefore, the researchers with interest in foodservice fields need to keep in mind that choosing and applying the correct statistical technique both determine the value and the success or failure of a study. To enhance the value and success of a study, it is necessary to use the proper statistical technique in an efficient way in order to prevent statistical errors.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.29-42
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• 2017

The market for Home Meal Replacement (HMR), which is simple to cook and replace home cooking, is growing every year since customers need to find convenience and speed in purchasing, cooking, and consuming food. In addition, the purchase of HMR through online and mobile is increasing because convenience of purchasing through e-Commerce is growing. However, there are difficulties in analyzing complaints of customers who do not directly express their dissatisfaction with companies that sell products through online and mobile. Therefore, this study examines the influential relationship between customer's characteristics, dissatisfaction factors, complaint behavior, and repurchase intention of 20s who have dissatisfaction experience of purchasing HMR through online or mobile using SPSS and R. In addition, we attempt to analyze the degree of perceived dissatisfaction and its relevance even though customers did not directly experience dissatisfaction factors. As a result, it is meaningful to extend the study of customer dissatisfaction that is rarely handled in the existing HMR research, and to raise the understanding of customers for the management of complaints.

• Journal of Venture Innovation
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• v.1 no.1
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• pp.181-195
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• 2018

The purpose of this study is to investigate the effect of service quality of a theater on the customer experience value and performance satisfaction and to test causality between variables. For this purpose, Study model was created from the previous studies and performed a survey with the customer who visited Performance Theater. In this study, employee kindness, facility excellence, convenience, and facilities were set as independent variables, and performance satisfaction was selected as a dependent variable. The cultural value and economic value of customer experience were examined as Moderating variables between two variables. Based on the results of this study, It was found that employee's kindness, facility excellence, and convenience have a significant effect on performance satisfaction in performing arts facilities. convenience, there was perfect mediated effect of customer experience between service quality of a theater and performance satisfaction centered on cultural value and economic value. The employee's kindness variable was examined as a perfect mediation of cultural value, and economic value as a sectoral mediation. The excellence variables of the facilities appeared as partial mediations in cultural values and as complete mediations in economic values. In the case of the auxiliary facilities, the significance test failed. According to the results of the research, it was confirmed that convenience service for customers is the most important variable. This result suggests that the service quality of a theater should be basically maintained in terms of the kindness of the facility and staff, and that the customer is more satisfied with the performance than the audience convenience service provided from the Theater. The venue suggests that customer service and reception, purchase of tickets, refund method, and staff training should be thoroughly done so that audiences can make the Theater.

• Journal of the Korean Data and Information Science Society
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• v.27 no.2
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• pp.315-325
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• 2016

Thanks to the advantages of low cost and quick results, public opinion polls on election in Korea have been generally conducted by telephone survey, even though it has critical disadvantage of low response rate. In public opinion polls on election in Korea, the general method to handle nonresponses is adjusting the survey weight to estimate parameters. This study first drives mathematical expression of estimator and its bias with variance estimators with/without nonresponses in election polls in Korea. We also investigates the nonresponse rate of telephone survey on 2012 Korea presidential election. The average response rate was barely about 14.4%. In addition, we conducted a survey in April 2014 on the respondents's attitude toward telephone surveys. In the survey, the first reason for which respondents do not answer on public opinion polls on election was "feel bothered". And the aged 20s group, the most low response group, also gave the same answer. We here suggest that survey researchers motivate survey respondents, specially younger group, to participate surveys and find methods boosting response rate such as giving incentive.

• Journal of Applied Biological Chemistry
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• v.61 no.1
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• pp.25-31
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• 2018

This study investigated the effect of different $O_2$ transmission rate (OTR) of films on surface temperature, weight loss, pH, $O_2$, $CO_2$ and sensory characteristics, microbial quality, total phenolic contents and 1,1-diphenyl-2-picryl hydrazyl radical scavenging activity of fresh-cut lettuce during storage at $10^{\circ}C$ for 7 days. $80{\pm}5g$ of fresh-cut lettuce were packaged with oriented polypropylene films respectively. The OTR of packaging materials was 5,000, 8,000 and $10,000cc/m^2{\cdot}day{\cdot}atm$. Quality characteristics showed significant differences during storage. The surface temperature was averaged 13 and lower in higher OTR of films. The weight loss of lettuce ranged from 2.8 to 5.4% and the highest loss showed in $5,000cc/m^2{\cdot}day{\cdot}atm$ of film. pH was increased during storage and the highest pH was found in $5,000cc/m^2{\cdot}day{\cdot}atm$. The $O_2$ content in the packaging was decreased with increasing $CO_2$ content during storage. The lowest $CO_2$ was found in $10,000cc/m^2{\cdot}day{\cdot}atm$. As OTR was decreased, antioxidant profile of lettuce was decreased. Total aerobic bacteria showed from 5.48 to 6.59 log CFU/g. From the result of the overall sensory test, the marketability of fresh-cut lettuce stored at $10^{\circ}C$ seemed to be maintained effectively over 5 days.

• Korean Journal of Food Science and Technology
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• v.49 no.6
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• pp.632-637
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• 2017

This study was conducted to determine the minimal processing characteristics of four vegetables (brown mustard, kale, red beet and red lettuce) for wrapping (Ssam). Prior to evaluation, the vegetable leaves were cut, washed, and packaged. The texture, weight loss, browning index, pH, gas concentrations ($O_2$ and $CO_2$), microbial growth, and organoleptic qualities of the leaves were assessed at $10^{\circ}C$ for 7 days. The cutting strength of red beet was significantly different among leaves. The initial springiness of brown mustard was the lowest (0.98%). The weight loss varied between 0.24 to 4.77%, pH ranged from 6.00 to 6.95, and browning index increased to 0.95 during storage. Changes of gas composition were lower in cut leaf than whole leaf. Aerobic bacteria (4.9-8.0 log CFU/g), yeast (not detected), mold (-3.5 log CFU/g), and total coliforms (5.0-8.0 log CFU/g) were assessed in the samples. Thus, overall quality of kale and red beet leaves with minimal processing showed satisfactory results when stored for 7 days.