• 제목/요약/키워드: Advance Rate Model

검색결과 119건 처리시간 0.075초

여름방학 중 취약계층 아동에게 식사를 제공하는 음식점의 운영관리 실태 (The Current Status of Foodservice Management in the Restaurants Participating in the Government-funded Children's Model Program in Korea during Summer Vacation)

  • 김진영;권수연;이영미;최해림;윤지현
    • 대한지역사회영양학회지
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    • 제17권2호
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    • pp.182-193
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    • 2012
  • The purpose of this study was to investigate the current status of food service management in the restaurants participating in the government-funded children's meal program during summer vacation. A mail survey was conducted with individuals who worked in the restaurants participating in the government-funded children's meal program in Seoul during the summer vacation in 2010. A total of 600 questionnaires were distributed to 274 Chinese, 235 Bunsik and 91 Korean restaurants, which were selected using proportionate stratified sampling by regions and types of operations. A total of 138 usable questionnaires (23.0%) were returned and analyzed. The results showed that over half (57.2%) of the restaurants did not employ any certified cooks. Most of the restaurants (97.8%) provided side dishes; among them, only 42% planned menus for side dishes in advance and only a half changed side dish menus periodically. The suggested reasonable reimbursement rate per meal for children using restaurants differed by types of restaurants; the percentage of restaurants having responded 5,000 won or higher was the highest in Chinese restaurants. This study revealed that food service in the restaurants participating in the government-funded children's meal program was not properly managed during summer vacation, especially in terms of menu and food production. This study also showed that the suggested reasonable reimbursement rate of meals for children using restaurants differed by types of restaurants, implying that adjusting the reimbursement rate according to types of restaurants should be considered in the government-funded children's meal program.

CANCER CLASSIFICATION AND PREDICTION USING MULTIVARIATE ANALYSIS

  • Shon, Ho-Sun;Lee, Heon-Gyu;Ryu, Keun-Ho
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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    • pp.706-709
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    • 2006
  • Cancer is one of the major causes of death; however, the survival rate can be increased if discovered at an early stage for timely treatment. According to the statistics of the World Health Organization of 2002, breast cancer was the most prevalent cancer for all cancers occurring in women worldwide, and it account for 16.8% of entire cancers inflicting Korean women today. In order to classify the type of breast cancer whether it is benign or malignant, this study was conducted with the use of the discriminant analysis and the decision tree of data mining with the breast cancer data disclosed on the web. The discriminant analysis is a statistical method to seek certain discriminant criteria and discriminant function to separate the population groups on the basis of observation values obtained from two or more population groups, and use the values obtained to allow the existing observation value to the population group thereto. The decision tree analyzes the record of data collected in the part to show it with the pattern existing in between them, namely, the combination of attribute for the characteristics of each class and make the classification model tree. Through this type of analysis, it may obtain the systematic information on the factors that cause the breast cancer in advance and prevent the risk of recurrence after the surgery.

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High Temperature Properties of Fiber Reinforced Composites under the Different Loading Conditions

  • Weiguang, Hu;Park, Soo-Jeong;Kim, Yun-Hae
    • Composites Research
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    • 제30권3호
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    • pp.188-192
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    • 2017
  • The mechanical properties of composites are significantly affected by external environment. It is essential to understand the degradation of material performance and judge the material's lifetime in advance. In the current research, changes in mechanical properties of glass fiber and unsaturated polyester composite materials (GFRP, Glass fiber reinforced plastic) were investigated under different bending stress and submerged in hot water at a temperature of $80^{\circ}C$. Loading time of 100 H (hours), 200 H, 400 H, 600 H, 800 H for testing under stresses equal to 0% (stress-free state), 30%, 50% and 70% of the ultimate strength was applied on the GFRP specimens. From the values of bending stress, obtained from three-point bending test, fracture energy, failure time, and life curve were analysed. Moreover, a normalized strength degradation model for this condition was also developed. It was observed that within 100 H, the decline rate of the bending strength was proportional to the pressure.

중층심해에 분사된 액체 이산화탄소 용해 예측모델 개발 (Simulation Model for Dissolution of Liquid $CO_2$ Discharged at Intermediate Depth of Ocean)

  • 김남진;김종보
    • 설비공학논문집
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    • 제15권9호
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    • pp.718-726
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    • 2003
  • Carbon dioxide ocean disposal is one of the promising options to reduce carbon dioxide concentration in the atmosphere because the ocean has vast capacity for carbon dioxide sequestration. However, the dissolution rate of liquid carbon dioxide in seawater must be known in advance in order to estimate the amount of carbon dioxide sequestration in the ocean. Therefore, in the present study, calculations of the solubility, the surface concentration and the dissolution behavior of carbon dioxide when liquid carbon dioxide is released at 1,000m and 1,500m in depth are peformed. The results show that the droplet is completely dissolved below 500 m in depth if the carbon dioxide droplet is released both at 1,000m in depth with the initial droplet diameter of 0.011m or less and at 1,500m in depth with the diameter of 0.016 or less. Also, the surface concentration of carbon dioxide droplet with the hydrate film is about 50% of carbon dioxide solubility at 1,500 m in depth and about 60% of carbon dioxide solubility at 1,000 m in depth.

Study of Multiple Interface Control and Dynamic Delivery Model for Seamless Mobile Transportation

  • Lee, Seon-Ung;Moon, Il-Young
    • Journal of information and communication convergence engineering
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    • 제8권4호
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    • pp.399-404
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    • 2010
  • We propose a seamless IPTV transport technology of mobile device. This technology uses multiple interfaces of wireless communication on mobile device. This proposal for transportation of mobile IPTV contents is more mobile and adaptable than other wireless technologies that are currently being used. Algorithm of proposed technology is as follow. When the signal strength of the connected wireless network interface of mobile device is getting lower than specified level, another wireless network interface is connected to continue downloading the IPTV contents in advance. Another connection is maintained until the signal strength of the first connected interface is stable or the interface is connected to another base station (or AP) that have good signal strength. For more seamless services, we consider classifying the packets of mobile IPTV and using dynamic content quality select techniques. Dynamic content quality selection is based on notifying transfer rate to the content delivery network (CDN) server. The proposed technology is expected to use efficiently with both mobile IPTV and the transportation of mobile P2P/P4P.

A Study on Crime Prediction to Reduce Crime Rate Based on Artificial Intelligence

  • KIM, Kyoung-Sook;JEONG, Yeong-Hoon
    • 한국인공지능학회지
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    • 제9권1호
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    • pp.15-20
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    • 2021
  • This paper was conducted to prevent and respond to crimes by predicting crimes based on artificial intelligence. While the quality of life is improving with the recent development of science and technology, various problems such as poverty, unemployment, and crime occur. Among them, in the case of crime problems, the importance of crime prediction increases as they become more intelligent, advanced, and diversified. For all crimes, it is more critical to predict and prevent crimes in advance than to deal with them well after they occur. Therefore, in this paper, we predicted crime types and crime tools using the Multiclass Logistic Regression algorithm and Multiclass Neural Network algorithm of machine learning. Multiclass Logistic Regression algorithm showed higher accuracy, precision, and recall for analysis and prediction than Multiclass Neural Network algorithm. Through these analysis results, it is expected to contribute to a more pleasant and safe life by implementing a crime prediction system that predicts and prevents various crimes. Through further research, this researcher plans to create a model that predicts the probability of a criminal committing a crime again according to the type of offense and deploy it to a web service.

생체신호를 활용한 학습기반 영유아 스트레스 상태 식별 모델 연구 (A Machine Learning Approach for Stress Status Identification of Early Childhood by Using Bio-Signals)

  • 전유미;한태성;김관호
    • 한국전자거래학회지
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    • 제22권2호
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    • pp.1-18
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    • 2017
  • 오늘날 감정 표현이 서툰 영유아가 처한 극도의 스트레스 상태를 자동적으로 파악하는 것은 영유아의 안전을 위협하며 지속적으로 발생하는 위험 상황의 실시간적인 인지를 위해 반드시 필요한 기술이다. 따라서 본 논문에서는 생체신호를 활용하여 영유아의 스트레스 상태를 분류하기 위한 기계학습 기반의 모델과 생체신호 수집용 스마트 밴드 및 모니터링용 모바일 어플리케이션을 제안한다. 구체적으로 본 연구에서는 영유아의 감정을 나타내는 주요한 요인이 되는 음성 및 심박 데이터의 조합을 활용하여 기존에 널리 알려진 데이터 마이닝 기법을 통해 영유아의 스트레스 상태 패턴을 학습하고 예측한다. 본 연구를 통해 생체신호를 활용하여 영유아의 스트레스 상태 식별을 자동화할 수 있는 가능성을 확인하였으며 나아가서 궁극적으로 영유아의 위험 상황 예방에 활용될 수 있을 것으로 기대된다.

Analysis of Time-Series data According to Water Reduce Ratio and Temperature and Humidity Changes Affecting the Decrease in Compressive Strength of Concrete Using the SARIMA Model

  • Kim, Joon-Yong
    • 한국컴퓨터정보학회논문지
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    • 제27권10호
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    • pp.123-130
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    • 2022
  • 본 논문은 건설현장의 콘크리트 붕괴사고를 사전에 예방하기 위한 조치 중 하나로 감수율에 따른 콘크리트강도 저하에 영향을 미치는 일일 시간대별 변화와 온도의 변화를 시계열데이터로 축적된 기상청 자료를 기반으로 분석했다. 감수율 발생 구간의 예측을 확인할 신뢰성 있는 모델로 규칙적이고 명확한 시계열데이터 모델에 적합한 SARIMA모델을 통하여 p_value는 0.5 이하, coef는 일방향으로 나타나는 등 검증 항목들이 신뢰성 확보에 유의미한 결과를 얻었다. 이러한 신뢰를 바탕으로 확보한 데이터를 이용하여 시간대별 온도변화와 구간별 감수율을 분석한 결과 7~8월, 12~13시, 29~31℃ 구간이 가장 큰 감수율을 나타냄을 알 수 있다. 연구 결과를 이용하여 연구 결과 구간의 요인이 발생하면 배치플랜트에서 물-시멘트 배합설계 시 감수율을 반영한 레미콘을 생산하여 감수율에 따른 콘크리트 압축강도 저하를 예방할 수 있을 것으로 기대된다.

국산 커터헤드를 장착한 직경 3.6 m 토압식 쉴드TBM의 제작과 현장적용성 분석 (Refurbishment of a 3.6 m earth-pressure balanced shield TBM with a domestic cutterhead and its field verification)

  • 배규진;장수호;최순욱;강태호;권준용;신민식
    • 한국터널지하공간학회 논문집
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    • 제17권4호
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    • pp.457-471
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    • 2015
  • 본 연구에서는 직경 3.6 m의 국산 커터헤드를 설계 제작하고 이를 기존의 토압식 쉴드TBM에 적용하여 연장이 1,275 m인 전력구 터널의 굴착공사를 수행하였다. 특히, 본 연구에서는 TBM 커터헤드의 설계절차와 그에 따른 TBM 굴착성능을 예측하기 위한 방법들을 정리하였다. 제작된 국산 커터헤드 장착 토압식 쉴드TBM의 실제 굴진자료를 분석한 결과, 최대 굴진율은 14.4 m/day이었으며 암석의 일축압축강도가 가장 큰 조건에 대해 커터헤드의 설계단계에서 제시한 4 mm/rev 내외로 디스크커터의 관입깊이가 관리되었음을 확인하였다. 또한 TBM의 구동 추력과 디스크커터의 연직력은 각각 TBM의 최대 추력 용량과 디스크커터의 최대 허용 연직력이하로 나타났다. 현장에서 측정된 디스크커터의 작용력을 분석한 결과, 연암 조건에서 CSM모델의 예측 오차가 크게 나타남을 확인하였다. 마지막으로 암석의 일축압축강도와 디스크커터의 연직력 및 커터 관입깊이는 밀접한 상관관계를 나타내었다.

빅데이터 기반 수도사고 위기대응 고도화 방안에 관한 연구 (Research on Advanced Measures for Emergency Response to Water Accidents based on Big-Data)

  • 김호성;김종립;김재중;윤영민;김대경
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2022년도 춘계학술대회
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    • pp.317-321
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    • 2022
  • '19년 인천시 수돗물 적수 사고 발생에 따라 환경부에서는 수도운영관리 고도화, 체계적인 기술지원 및 사고대응을 위해 「수돗물 안전관리 종합대책」을 수립하여 수돗물 공급 전 과정의 스마트 상수도 관리체계를 구축 중이다. 수도사고 위기대응 고도화를 위해서는 유량, 압력, 수위 등 실시간 수도운영 데이터의 신뢰성 확보와 더불어 빅데이터 분석기법을 활용한 사전 경보 알고리즘 개발 및 적용이 필수적이다. 본 논문에서는 수도운영 데이터 주요항목(유량, 압력, 수위 등)에 대한 데이터 기반의 다양한 통계기법을 활용해 최적 운영범위 선정, 감시경보체계 고도화를 위한 기반을 마련하고, 분석 결과를 K-water 운영시스템 및 감시경보시스템과의 연계를 위한 시스템 모델링에 대해 연구한다. 또한, 취수장과 정수장 간원수 탁도의 변화에 대한 교차 상관분석을 통해 도달시간 등에 대해 고찰하고, 취수장 펌프 가동에 따른 유량 변화 및 시간 지연을 고려한 원수 탁도 데이터를 적용하여 정수장 원수 탁도를 예측하는 모델에 관해 연구하고자 한다.

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