• Title/Summary/Keyword: 성장 예측

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Predictive mathematical model for the growth kinetics of Listeria monocytogenes on smoked salmon (온도와 시간을 주요 변수로한 훈제연어에서의 Listeria monocytogenes 성장예측모델)

  • Cho, Joon-Il;Lee, Soon-Ho;Lim, Ji-Su;Kwak, Hyo-Sun;Hwang, In-Gyun
    • Journal of Food Hygiene and Safety
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    • v.26 no.2
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    • pp.120-124
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    • 2011
  • Predictive mathematical models were developed for predicting the kinetics of growth of Listeria monocytogenes in smoked salmon, which is the popular ready-to-eat foods in the world, as a function of temperature (4, 10, 20 and $30^{\circ}C$). At these storage temperature, the primary growth curve fit well ($r^2$=0.989~0.996) to a Gompertz equation to obtain specific growth rate (SGR) and lag time (LT). The Polynomial model for natural logarithm transformation of the SGR and LT as a function of temperature was obtained by nonlinear regression (Prism, version 4.0, GraphPad Software). Results indicate L. monocytogenes growth was affected by temperature mainly, and SGR model equation is $365.3-31.94^*Temperature+0.6661^*Temperature^{\wedge^2}$ and LT model equation is $0.1162-0.01674^*Temperature+0.0009303^*Temperature{\wedge^2}$. As storage temperature decreased $30^{\circ}C$ to $4^{\circ}C$, SGR decreased and LT increased respectively. Polynomial model was identified as appropriate secondary model for SGR and LT on the basis of most statistical indices such as bias factor (1.01 by SGR, 1.55 by LT) and accuracy factor (1.03 by SGR, 1.58 by LT).

2010년 일본 POD시장 7400대, 연평균 20% 성장 전망-Yano경제연구소 시장동향 분석결과

  • Korea Optical Industry Association
    • The Optical Journal
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    • s.113
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    • pp.50-51
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    • 2008
  • 일본의 POD서비스시장 규모는 2006년 1,765억 엔으로서, 연평균 10% 이상의 성장을 계속하여 2009년에는 2,447억 엔에 달할 것으로 예측된다. POD대응기의 2006년도 출하대수는 약 4,000대이며, 연평균 15-20%의 성장을 계속하여 2010년에는 약 7,400대에 달할 것으로 예측된다. 현재 개인정보보호를 배경으로 한 아웃소싱 수요가 현재로선 대부분을 차지하지만 POD 활용의 폭은 꾸준히 확대되고 있다. 특히 가변형(Variable) 인쇄 등 용도의 확대와 공급처(Vendor)의 제품/솔루션의 개발이 향후 POD시장 발전의 주요 포인트가 될 것으로 보인다.

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A Study on Corrosion Fatigue Crack Growth Behavior in High Strength Aluminum Alloys( I ) (고강도 알루미늄 합금의 부식피로균열 성장거동에 관한 연구( I ))

  • 김봉철;강봉수;한지원;우흥식
    • Proceedings of the Korean Institute of Industrial Safety Conference
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    • 1998.05a
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    • pp.57-62
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    • 1998
  • 구조물이나 기계요소내의 결함이 성장하여 파손(Failure)에 이르는 현상은 공학분야에서 중요하게 평가되어 오고 있다. 반복적으로 변하는 응력에 의하여 결함이 초기 성장을 거쳐 재료의 파손에 이르게 되는 과정인 피로파괴는 파괴역학의 한 중요한 분야이다. 이에, 본 연구에서는 열처리의 특성상 부식환경에 매우 민감한 Al-Zn-Mg-Cu Alloy 7075에 대하여 Peak Aged T65l Tempering을 실시한 Al-Alloy 7075-T65l에 대하여 각기 환경(대기, 물, 해수)의 변화가 부식피로균열성장에 미치는 영향과 부식환경에서의 긴 균열(Long Crack)과 짧은 균열(Short Clark)의 부식피로균열 성장특성을 비교, 고찰하여 초기균열의 잠재시간과 안정성장 시간을 예측하여 구조물의 수명예측 및 안전성 평가에 기여 할 수 있는데 목적이 있다. (중략)

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Forecasting Model of Korean Retail Industry (우리나라 유통 업태별 성장 예측 모형 연구)

  • 서용구;배상근
    • Journal of Distribution Research
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    • v.6 no.2
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    • pp.41-64
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    • 2002
  • Since its market opening in the year 1996, Korea's retail sector has witnessed the emergence of various new retail formats such as discount stores and Internet shopping malls. Given the competition among various retail formats, it is needed to analyze the previous trends and to measure the future potential of the market with more careful economic models. Using Time Series Analysis on Korean economy and distribution industry, we aim to economic models to follow the trends and to measure the future growth of competing retail formats such as department stores, discount stores and convenience stores. We have found that the growth of department stores, convenience stores and specialty store format is very closely related with the private consumption expenditure. On the other hand, private consumption expenditure is not a good variable to explain the growth of discount stores and the supermarket sector. Following an extensive data analysis, three year forecasting of Korean distribution market including six different retail sectors is proposed. In addition, several discussion points including statistical classification of retail formats are argued.

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Prediction of Land-Use Change based on Urban Growth Scenario in South Korea using CLUE-s Model (도시성장 시나리오와 CLUE-s 모형을 이용한 우리나라의 토지이용 변화 예측)

  • LEE, Yong-Gwan;CHO, Young-Hyun;KIM, Seong-Joon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.3
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    • pp.75-88
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    • 2016
  • In this study, we used the CLUE-s model to predict the future land-use change based on the urban growth scenario in South Korea. The land-use maps of six classes (water, urban, rice paddy, upland crop, forest, and grass) for the year 2008 were obtained from the Ministry of Environment (MOE), and the land-use data for 5-year intervals between 1980 and 2010 were obtained from the Water Resources Management Information System (WAMIS), South Korea. For predicting the future land-use change, the MOE environmental conservation value assessment map (ECVAM) was considered for identifying the development-restricted areas, and various driving factors as location characteristics were prepared for the model. The predicted results were verified by comparing them with the land-use statistics of urban areas in each province for the year 2008. The prediction error rates were 9.47% in Gyeonggi, 9.96% in Gangwon, 10.63% in Chungbuk, 7.53% in Chungnam, 9.48% in Jeonbuk, 6.92% in Jeonnam, 2.50% in Gyeongbuk, and 8.09% in Gyeongnam. The sources of error might come from the gaps between the development of political decisions in reality with spatio-temporal variation and the mathematical model for urban growth rate in CLUE-s model for future scenarios. Based on the land-use scenario in 2008, the land-use predictions for the year 2100 showed that the urban area increased by 28.24%, and the rice paddy, upland crop, and forest areas decreased by 8.27, 6.72, and 1.66%, respectively, in South Korea.

Visual Analytics Approach for Performance Improvement of predicting youth physical growth model (청소년 신체 성장 예측 모델의 성능 향상을 위한 시각적 분석 방법)

  • Yeon, Hanbyul;Pi, Mingyu;Seo, Seongbum;Ha, Seoho;Oh, Byungjun;Jang, Yun
    • Journal of the Korea Computer Graphics Society
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    • v.23 no.4
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    • pp.21-29
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    • 2017
  • Previous visual analytics researches has focused on reducing the uncertainty of predicted results using a variety of interactive visual data exploration techniques. The main purpose of the interactive search technique is to reduce the quality difference of the predicted results according to the level of the decision maker by understanding the relationship between the variables and choosing the appropriate model to predict the unknown variables. However, it is difficult to create a predictive model which forecast time series data whose overall trends is unknown such as youth physical growth data. In this paper, we pro pose a novel predictive analysis technique to forecast the physical growth value in small pieces of time series data with un certain trends. This model estimates the distribution of data at a particular point in time. We also propose a visual analytics system that minimizes the possible uncertainties in predictive modeling process.

Growth promoting effect of short-term gonadotropin releasing hormone agonist with or without growth hormone in girls with early puberty (조기 사춘기 여아에서 단기간 성선자극호르몬 방출호르몬 효능약제와 성장호르몬 병합투여의 성장촉진 효과)

  • Lee, Eun-Ju;Han, Heon-Seok
    • Clinical and Experimental Pediatrics
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    • v.50 no.2
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    • pp.198-204
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    • 2007
  • Purpose : The hope that arresting pubertal developement might increase final adult height has led to an attempt to use GnRH agonist (GnRHa) in children with early puberty and poor growth prognosis. We investigated the growth-promoting effect of GnRH agonists with or without growth hormone (GH) in girls with early puberty and decreased predicted adult height (PAH). Methods : Thirty five girls with advanced bone age and early pubertal signs were randomized for treatment for about 1 year with monthly GnRHa in group 1 (n=18), or with a combination of GH and GnRHa in group 2 (n=17). The following growth parameters were compared between groups, and the difference ($\Delta$) before and after treatment : chronological age (CA), bone age (BA), $\Delta$(BA-CA), height (HT), target height (TH), predicted adult height (PAH), $\Delta$ (TH-PAH), serum insulin-like growth factor (IGF-1) and insulin-like growth factor binding protein (IGFBP-3). Results : Before treatment, BA, TH, PAH Standard deviation scores (SDS), $\Delta$(TH-PAH) were not different between the two groups, but CA was higher in group 2 and $\Delta$(BA-CA) were higher in group 1 (P<0.05). After $1.06{\pm}0.93$ year of treatment, $\Delta$ (BA-CA) decreased and there were significant changes in PAH and $\Delta$ (TH-PAH), especially in group 2 (P<0.05 in group 1, and P<0.001 in group 2). In both groups, IGF-1 and IGFBP-3 were not different before and after treatment, but after treatment, IGF-1 level in group 2 was marginally higher than IGF-1 in group 1 (P<0.1). Conclusion : Compromised predicted adult height in girls with early puberty and advanced bone age was significantly improved with GnRH with/without GH treatment in the short-term period. The addition of GH to GnRHa results in a significant increase in PAH compared to GnRHa alone because GnRHa suppressed growth hormone-IGF-1 axis. For comparison of final adult height, further longitudinal follow-up will be needed.

FGRS(Fish Growth Regression System), Which predicts the growth of fish (물고기의 성장도를 예측하는 FGRS(Fish Growth Regression System))

  • Sung-Kwon Won;Yong-Bo Sim;Su-Rak Son;Yi-Na Jung
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.347-353
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    • 2023
  • Measuring the growth of fish in fish farms still uses a laborious method. This method requires a lot of labor and causes stress to the fish, which has a negative impact on mortality. To solve this problem, we propose the Fish Growth Regression System (FGRS), a system to automate the growth of fish. FGRS consists of two modules. The first is a module that detects fish based on Yolo v8, and the second consists of a module that predicts the growth of fish using fish image data and a CNN-based neural network model. As a result of the simulation, the average prediction error before learning was 134.2 days, but after learning, the average error decreased to 39.8 days. It is expected that the system proposed in this paper can be used to predict the growing date and use the growth prediction of fish to contribute to automation in fish farms, resulting in a significant reduction in labor and cost savings.

Prediction model for the microstructure and properties in weld heat affected zone of low alloyed steel (저합금강의 용접 열영향부 미세조직 및 재직 예측)

  • Lee, Chang-Hee
    • Proceedings of the KWS Conference
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    • 2010.05a
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    • pp.1-10
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    • 2010
  • 강재의 구조화에 필수적인 용접 공정 후의 저합금강 용접 열영향부 미세조직 및 재질 예측을 위해 가열 중 상변태 거동에 미치는 초기 결정립 크기의 영향, 석출물-free 오스테나이트 결정립 성장 예측 모델, 임계 석출물 크기의 영향을 고려한 용접 열영향부 석출물 조대화 예측 모델, 석출물의 Kinetics을 고려한 결정립 성장 모델, 초기 오스테나이트 결정립크기 및 냉각 속도의 영향을 고려한 용접 열영향부 상변태 모델, 용접 열영향부 경도 예측 모델 등에 대해 연구를 수행하였다. 이를 통해 작성된 최종 모델은 실 용접부와의 비교를 통해 신뢰성을 확인하였으며, 저합금강 용접 열영향부의 미세조직과 경도값을 잘 예측하는 것으로 판단된다. 따라서 본 연구를 통해 작성된 모델을 통하여 용접 열영향부에서의 용접부 품질을 확인하기 위한 시간적, 경제적 비용을 절감할 수 있을 것으로 기대된다.

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Comparison of predicted adult heights measured by Bayley-Pinneau and Tanner-Whitehouse 3 methods in normal children, those with precocious puberty and with constitutional growth delay (정상 소아, 성조숙증 및 체질성 성장지연 소아에서 Bayley-Pinneau방법과 Tanner-Whitehouse 3방법에 의한 예측성인신장 비교)

  • Oh, Yeon Joung;Yu, Byung Keun;Shin, Jung Yeon;Lee, Kee-Hyoung;Park, Sang Hee;Lee, Kwang Chul;Son, Chang Sung
    • Clinical and Experimental Pediatrics
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    • v.52 no.3
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    • pp.351-355
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    • 2009
  • Purpose : This study compared bone ages measured by the Greulich-Pyle (GP) and Tanner-Whitehouse 3 (TW3) methods and investigated the differences in predicted adult heights measured by Bayley-Pinneau (BP) and TW3 methods. Methods : Bone ages were assessed from left-wrist radiographs by two investigators, one for each GP and TW3 methods in 85 normal children, 30 precocious puberty girls, and 30 constitutional growth delay boys. The differences between the measured predicted adult heights using the BP and TW3 methods were compared in each group. Results : The bone age measured by the TW3 method was less than that by the GP method in normal children. The predicted adult heights measured by the two methods showed no significant difference in normal boys, while the predicted adult height measured by the TW3 method was higher than that by the BP method for normal girls ($156.4{\pm}4.7$ cm vs. $158.9{\pm}3.8$ cm, P<0.01) and for precocious puberty girls ($156.3{\pm}4.0$ cm vs. $159.3{\pm}4.2$ cm, P<0.01). In contrast, the predicted adult height was higher from the BP method than from the TW3 method in constitutional growth delay boys ($173.3{\pm}4.4$ cm vs. $169.7{\pm}3.2$ cm, P<0.01). Conclusion : There were significant differences in predicted adult heights between the BP and TW3 method in normal girls, precocious puberty girls, or constitutional growth delay boys. In precocious puberty and constitutional growth delay, the BP method might be preferred to predict adult height, but further studies on final adult height are needed.