• 인터넷정보학회논문지
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• 제25권2호
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• pp.49-55
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• 2024

본 논문은 물고기 양식 전문가의 먹이 배급을 모방하는 신경망 모델인 PredFeed Net을 제안한다. PredFeed Net은 기존의 먹이 배급 자동화 시스템과 달리, 전문가의 먹이 배급 패턴을 학습하는 방식으로 먹이 배급량을 예측한다. 이는 실제 수조에서 환경에 따른 먹이 배급 변수를 바꾸며 실험할 필요 없이, 기존의 환경 데이터와 먹이 배급 전문가의 먹이 배급 기록만으로 학습이 가능하다는 이점이 있다. 학습이 완료된 PredFeed Net은 현재 환경이나 어류의 상태를 통해 다음 먹이 배급량을 예측한다. 먹이 배급량 예측은 먹이 배급 자동화에 필요한 요소이며, 먹이 배급 자동화는 스마트 양식업이나 아쿠아포닉스 시스템 같은 최신 양식어업에 발전에 기여한다.

• 한국식품과학회지
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• 제45권3호
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• pp.325-332
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• 2013

본 연구는 냉동 애호박의 유통 중 품질을 예측하기 위하여 적정 품질지표를 규명하고자 수행되었다. 수확 직후 애호박은 선행실험을 통한 최적 조건인 소금 2%를 첨가한 $90^{\circ}C$ 물에서 3분 동안 blanching 처리한 후 $-40^{\circ}C$에서 24시간 동안 급속동결 하였다. 동결된 애호박은 0, -5, -15 및 $-25^{\circ}C$에서 저장하면서 드립률, 색도, 경도, 미생물 및 관능특성 변화를 조사한 후 각 품질특성과 관능적 기호도와의 상관관계를 분석하였다. 저장온도에 따른 드립률과 기호도와의 상관관계는 $-25^{\circ}C$를 제외한 모든 온도 조건에서 유의적인 상관관계를 나타냈으나, 경도와 미생물은 기호도와의 상관관계가 나타나지 않았다. 녹색도 a 값과 황색도 b 값은 -5, -15 및 $-25^{\circ}C$에서 비교적 높은 상관계수를 나타내었다. 따라서 저장온도 -5, -15 및 $-25^{\circ}C$에서 관능적 기호도와 높은 상관관계를 나타낸 색도 a와 b 값의 변화 그리고 $-25^{\circ}C$를 제외한 모든 온도 조건에서 유의적인 상관관계를 나타낸 드립률의 변화를 냉동 애호박의 유통 중 품질예측을 위한 품질지표로 선정하여 적용하는 것이 적절한 것으로 판단되었다.

• 한국식품저장유통학회지
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• 제7권2호
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• pp.155-159
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• 2000

Apple fruit grading is largely dependant on skin color degree. This work reports about the possibility of nondestructive assessment of apple fruit color using infrared(NIR) reflectance spectroscopy. NIR spectra of apple fruit were collected in wavelength range of 1100~2500nm using an InfraAlyzer 500C(Bran+Luebbe). Calibration as calculated by the standard analysis procedures MLR(multiple linear regression) and stepwise, was performed by allowing the IDAS software to select the best regression equations using raw spectra of sample. Color degree of apple skin was expressed as 2 factors, anthocyanin content by purification and a-value by colorimeter. A total of 90 fruits was used for the calibration set(54) and prediction set(36). For determining a-value, the calibration model composed 6 wavelengths(2076, 2120, 2276, 2488, 2072 and 1492nm) provided the highest accuracy : correlation coefficient is 0.913 and standard error of prediction is 4.94. But, the accuracy of prediction result for anthocyanin content determining was rather low(R of 0.761).

• Archives of Pharmacal Research
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• 제27권10호
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• pp.1009-1015
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• 2004

Quantitative Structure-Resolution Relationship (QSRR) using the Comparative Molecular Field Analysis (CoMFA) software was applied to predict the chromatographic behaviors of chiral drugs with an amine moiety on the chiral cellobiohydrolase (CBH) columns. As a result of the Quantitative CoMFA-Resolution Relationship study, using the partial least square method, prediction of the behavior of drugs with amine moiety upon chiral separation became possible from their three dimensional molecular structures. When a mixed mobile phase of 10 mM aqueous phosphate buffer (pH 7.0) - isopropanol (95 : 5) was employed, the best Quantitative CoMFA-Resolution Relationship, derived from the study, provided a cross-validated $q^2$ = 0.933, a normal $r^2$ = 0.995, while the best Quantitative CoMFA-Separation Factor Relationship, also derived from the study, yielded a cross-validated $q^2$ = 0.939, a normal $r^2$ = 0.991. When all of these results are considered, this QSRR-CoMFA analysis appears to be a very useful tool for the preliminary prediction on the chromatographic behaviors of drugs with an amine moiety inside chiral CBH columns.

• 대한영양사협회학술지
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• 제25권1호
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• pp.44-58
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• 2019

Predicting the number of meals in a foodservice organization is an important decision-making process that is essential for successful food production, such as reducing the amount of residue, preventing menu quality deterioration, and preventing rising costs. Compared to other demand forecasts, the menu of dietary personnel includes diverse menus, and various dietary supplements include a range of side dishes. In addition to the menus, diverse subjects for prediction are very difficult problems. Therefore, the purpose of this study was to establish a method for predicting the number of meals including predictive modeling and considering various factors in addition to menus which are actually used in the field. For this purpose, 63 variables in eight categories such as the daily available number of people for the meals, the number of people in the time series, daily menu details, weekdays or seasons, days before or after holidays, weather and temperature, holidays or year-end, and events were identified as decision variables. An ensemble model using six prediction models was then constructed to predict the number of meals. As a result, the prediction error rate was reduced from 10%~11% to approximately 6~7%, which was expected to reduce the residual amount by approximately 40%.

• 약학회지
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• 제58권1호
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• pp.53-57
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• 2014

In recent, the abuse of newly-emerging psychoactive drugs, ('designer drugs') is a rapidly increasing problem in Korean society. Quantitative-structure activity relationship (QSAR) is an alternative method to predict bioactivities of new abused compounds. In this study, cathinone-related new designer drugs, 4-methylbuphedrone and 4-methoxy-N,N-dimethylcathinone were tested for prediction of the bioactivity with QSAR model. The bioactivity of 4-methylbuphedrone and 4-methoxy-N,N-dimethylcathinone was similar to those of methylone. These results suggest that the prediction with QSAR model may provide scientific evidences for regulatory decision.

• International journal of advanced smart convergence
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• 제10권4호
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• pp.98-103
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• 2021

Recently, as the need for food resources has increased both domestically and internationally, support for the agricultural sector for stable food supply and demand is expanding in Korea. However, according to recent media articles, the biggest problem in rural communities is the unstable profit structure. In addition, in order to confirm the profit structure, profit forecast data must be clearly prepared, but there is a lack of auxiliary data for farmers or future returnees to predict farm income. Therefore, in this paper we analyzed data over the past 15 years through time series analysis and proposes an artificial intelligence farm income prediction algorithm that can predict farm household income in the future. If the proposed algorithm is used, it is expected that it can be used as auxiliary data to predict farm profits.

• The Journal of Asian Finance, Economics and Business
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• 제6권4호
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• pp.139-145
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• 2019

This study examines the dynamic linkages between food price inflation and its volatility in the context of Sri Lanka. The empirical evidence derived from the monthly data for the period from 2003M1 to 2017M12 for Sri Lanka. The relationship between inflation rate and inflation volatility has attracted more attention by theoretical and empirical macroeconomists. Empirical studies on the relationship between food inflation and food inflation variability is scarce in the literature. Food price inflation is defined as log difference of food price series. The volatility of a food price inflation is measured by conditional variance generated by the FIGARCH model. Preliminary analysis showed that food inflation is stationary series. Granger causality test reveals that food inflation seems to exert positive impact on inflation variability. We find no evidence for inflation uncertainty affecting food inflation rates. Hence, the findings of the study supports the Friedman-Ball hypothesis in both cases of consumer food price inflation and wholesale food price inflation. This implies that past information on food inflation can help improve the one-step-ahead prediction of food inflation variability but not vice versa. Our results have some important policy implications for the design of monetary policy, food policy thereby promoting macroeconomic stability.

• 한국식품과학회지
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• 제25권6호
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• pp.643-648
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• 1993

표준온도 상당시간을 이용하여 규칙적인 온도변화 조건에서 식품의 품질변화를 간편하게 예측하는 근사식의 유효성을 밝히기 위하여, 비등온 가속조건 및 상온저장 조건에서 Sucrose 가수분해속도를 측정한 설험자료로 비교, 분석을 분석하였다. 정속가열 (定速加熱) 가속(加速)실험을 통해 구한 sucrose의 가수분해 반응은 1차 반응이고, 활성화에너지는 25.84kcal/mol이었으며, 반응속도상수는 pH가 감소함에 따라 직선적으로 증가하였다. 하루 동안의 온도변화를 sine wave 형태 온도변화로 가정하고 하루 동안에 일어난 품질변화를 표준온도 $T_{ref}$에서 몇일 동안에 일어난 변화에 상당하는가를 의미하는 표준온도 상당시간 $T_{eq.i}$를 이용하여 품질변화를 근사적으로 간단히 예측하는 방법을 제안하였다. Sucrose 액체 모델 시스템을 sine wave 형태의 규칙적인 온도변화 조건에서의 가속 가수분해실험 결과와 $T_{eq.i}$를 이용하여 품질변화를 computer simulation한 결과, 실험값과 예측값과의 상관계수는 0.99로서 잘 일치하였으므로 표준온도상당시간을 이용한 예측 모델의 유효함을 확인하였다. 뿐만 아니라 sucrose 모델 시스템을 실제 상온 저장한 실험결과와 계절적 온도변화를 computer simulation하여 예측한 값과는 상관계수가 0.92로서 잘 일치하였다.

• 한국식품과학회지
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• 제25권6호
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• pp.632-636
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• 1993

본 연구에서는 생선단백질의 젤형성에 영향을 미치는 처리조건(가열온도, 가열시간, 염농도)을 달리하여 형성되는 젤의 압축응력과 초음파의 잔존시간을 비교 분석하였다. 그 결과 가열온도가 증가할수록, 가열시간이 증가할수록 또한 염농도가 감소할수록 조직의 압축응력으로 나타내어지는 젤강도는 증가하였으나 그에 상응하는 초음파의 잔존시간은 감소하였으며 젤강도와 잔존시간이 반비례함을 보였다. 각 처리조건을 변수로 하여 중회귀분석을 한 결과 초음파의 잔존시간에 의해 계산 예측된 압축응력과 실측정값과 비교시 유사함을 나타내었다. 이와 같이 볼 때 초음파를 이용한 잔존시간의 측정은 식품조직내의 변화에도 민감한 변화를 나타내었으며 식품공정과정 중에 비파괴적인 방법으로의 사용여부도 기대되어진다.