This study aimed to determine the trend in dry matter yield (DMY) of a new sorghum-sudangrass hybrid (SSH) in the central inland regions of Korea. The metadata (n=388) were collected from various reports of the experiments examining the adaptability of this new variety conducted by the Rural Development Administration (1988–2013). To determine the trend, the parameters of autoregressive (AR) and moving average (MA) were estimated from correlogram of Autocorrelation function (ACF) and partial ACF (PACF) using time series modeling. The results showed that the trend increased slightly year by year. Furthermore, ARIMA (1, 1, 0) was found to be the optimal model to describe the historical trend. This means that the trend in the DMY of the SSH was associated with changes over the past two years but not with changes from three years ago. Although climatic variables, such as temperature, precipitation, and sunshine were also considered as environmental factors for the annual trends, no clear association was observed between DMY and climates. Therefore, more precise processing and detailed definition of climate considering specific growth stages are required to validate this association. In particular, research on the impact of heavy rainfall and typhoons, which are expected to cause damage in the short term, on DMY trends is ongoing, and the model confirmed in this study is expected to play an important role in studying this aspect. Furthermore, we plan to add the environmental factors such as soil and cultivation management as well as climate to our future studies.
All machines deteriorate in performance over time. The phenomenon that causes such performance degradation is called deterioration. Due to the deterioration, the process mean of the machine shifts, process variance increases due to the expansion of separate interval, and the failure rate of the machine increases. The maintenance model is a matter of determining the timing of preventive maintenance that minimizes the total cost per wear between the relation to the increasing production cost and the decreasing maintenance cost. The essential requirement of this model is that the preventive maintenance cost is less than the failure maintenance cost. In the process mean shift model, determining the resetting timing due to increasing production costs is the same as the maintenance model. In determining the timing of machine adjustments, there are two differences between the models. First, the process mean shift model excludes failure from the model. This model is limited to the period during the operation of the machine. Second, in the maintenance model, the production cost is set as a general function of the operating time. But in the process mean shift model, the production cost is set as a probability functions associated with the product. In the production system, the maintenance cost of the equipment and the production cost due to the non-confirming items and the quality loss cost are always occurring simultaneously. So it is reasonable that the failure and process mean shift should be dealt with at the same time in determining the maintenance time. This study proposes a model that integrates both of them. In order to reflect the actual production system more accurately, this integrated model includes the items of process variance function and the loss function according to wear level.
This paper develops an algorithm to determine the batch size of the batch process in real time for improving production and efficient control of production system with multiple processes and batch processes. It is so important to find the batch size of the batch process, because the variability arising from the batch process in the production system affects the capacity of the production. Specifically, batch size could change system efficiency such as throughput, WIP (Work In Process) in production system, batch formation time and so on. In order to improve the system variability and productivity, real time batch size determined by considering the preparation time and batch formation time according to the number of operation of the batch process. The purpose of the study is to control the WIP by applying CONWIP production system method in the production line and implements an algorithm for a real time batch size decision in a batch process that requires long work preparation time and affects system efficiency. In order to verify the efficiency of the developed algorithm that determine the batch size in a real time, an existed production system with fixed the batch size will be implemented first and determines that batch size in real time considering WIP in queue and average lead time in the current system. To comparing the efficiency of a system with a fixed batch size and a system that determines a batch size in real time, the results are analyzed using three evaluation indexes of lead time, throughput, and average WIP of the queue.
본 연구는 금잔화를 꽃차로 이용하기 위해 열풍 건조 처리 시간에 따른 항산화 물질함량 및 항산화 활성을 분석하고, 최적 처리 시간을 구명하기 위해 수행하였다. 식용꽃 금잔화를 60℃에서 5시간, 10시간, 15시간 열풍건조 한 뒤 Hunter value를 측정하고 95% 에탄올을 용매로 하여 추출하였다. 항산화 물질인 총 폴리페놀, 총 플라보노이드, 총 카로티노이드 함량과 DPPH radical 소거 활성을 통한 항산화 활성, 이를 통한 항산화 물질 함량과 항산화 활성 간의 상관관계를 분석하였다. 처리시간이 증가함에 따라 Hunter value L 값과 +b값이 모두 감소하는 경향을 보였으며, 15시간 처리구에서 다소 많이 감소하였다. 또한, 항산화 물질 함량을 조사한 결과, 총 폴리페놀 함량은 처리 시간에 따른 차이는 없었으나 총 플라보노이드 함량과 총 카로티노이드 함량은 5시간과 10시간 처리시 함량이 다소 높았으며, 처리 시간이 증가함에 따라 감소하여 15시간 처리시 대조구와 차이가 없는 것으로 조사되었다. DPPH radical 소거 활성 분석 결과, 5시간과 10시간 처리시 대조구보다 활성이 높았으며, 총 카로티노이드가 DPPH radical 소거 활성 간의 상관관계가 높은 것으로 나타났다(p≤0.01, r=0.610). 따라서, 열풍건조한 금잔화는 총 카로티노이드가 항산화 활성에 기여하며, 5시간 및 10시간 열풍건조 처리가 금잔화의 항산화 물질 함량 및 활성 증가에 효과적인 것으로 판단되나 식물의 열처리 가공에 있어 오랜 시간은 내부 조직 및 항산화 물질 파괴에 영향을 미칠 수 있기 때문에 금잔화 열풍 건조 처리 시 5시간이 효과적일 것으로 판단된다.
Machines and facilities are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. By the result of degeneration, non-conforming products and malfunction of machine occur. Therefore a periodic preventive resetting the process is necessary. This type of preventive action is called ‘preventive maintenance policy.’ Preventive maintenance presupposes that the preventive (resetting the process) cost is smaller than the cost of failure caused by the malfunction of machine. The process mean shift problem is a field of preventive maintenance. This field deals the interrelationship between the quality cost and the process resetting cost before machine breaks down. Quality cost is the sum of the non-conforming item cost and quality loss cost. Quality loss cost is due to the deviation between the quality characteristics from the target value. Under the process mean shift, the quality cost is increasing continuously whereas the process resetting cost is constant value. The objective function is total costs per unit wear, the decision variables are the wear limit (resetting period) and the initial process mean. Comparing the previous studies, we set the process variance as an increasing concave function and set the quality loss function as Cpm+ simultaneously. In the Cpm+, loss function has different cost coefficients according to the direction of the quality characteristics from target value. A numerical example is presented.
루이보스티에서 5종의 phenolic acid (gallic acid, chlorogenic acid, caffeic acid, p-coumaric acid, trans-ferulic acid) 와 9종의 flavonoid (procyanidin b1, aspalathin, rutin, vitexin, hyperoside, isoquercitrin, luteolin, quercetin, chrysoeriol)를 UPLC-MSMS를 이용하여 동시 분석하였다. 14종 페놀릭 류를 동시 분석하기 위하여 기기조건과 유효성을 검증하였고 확립된 분석방법을 이용하여 시중에 유통중인 루이보스티 30건을 채취하여 페놀릭류를 분석하였다. 루이보스티 1 g 혹은 1티백에 뜨거운 물 100 mL을 가하여 3분, 6분, 30분이 경과 후 그리고 차가운 물 (25-30oC)에 30분 우려낸 루이보스티의 페놀릭류 함량을 구하였다. 루이보스티에서 전체 실험대상 페놀릭류 중 rutin과 aspalathin이 가장 많이 추출되어 나왔으며 각각 물질의 함량은 제품별로 달랐다. 페놀릭류 성분의 추출효율은 14종 페놀릭류의 총 합 기준으로 뜨거운 물 30분 > 6분 > 3분 > 차가운 물 30분 순으로 높았다.
Machines are physically or chemically degenerated by continuous usage. One of the results of this degeneration is the process mean shift. Under the process mean shift, production cost, failure cost and quality loss function cost are increasing continuously. Therefore a periodic preventive resetting the process is necessary. We suppose that the wear level is observable. In this case, process mean shift problem has similar characteristics to the maintenance policy model. In the previous studies, process mean shift problem has been studied in several fields such as ‘Tool wear limit’, ‘Canning Process’ and ‘Quality Loss Function’ separately or partially integrated form. This paper proposes an integrated cost model which involves production cost by the material, failure cost by the nonconforming items, quality loss function cost by the deviation between the quality characteristics from the target value and resetting the process cost. We expand this process mean shift problem a little more by dealing the process variance as a function, not a constant value. We suggested a multiplier function model to the process variance according to the analysis result with practical data. We adopted two-side specification to our model. The initial process mean is generally set somewhat above the lower specification. The objective function is total integrated costs per unit wear and independent variables are wear limit and initial setting process mean. The optimum is derived from numerical analysis because the integral form of the objective function is not possible. A numerical example is presented.
Cell-free fetal RNA has been highlighted as useful tools for the fetal sex determination or other genetic inherent disorder. However, there is no knowledge about the sex determination using cell free fetal RNA in bovine field. Thus, the present study aimed to evaluate the presence of transcripts of DDX3Y, USP9Y and ZRSR2Y genes in maternal plasma of pregnant cows to determine the sex of the fetus using real-time quantitative polymerase chain reaction assay, and verify its accuracy, sensitivity and specificity compared with the molecular testing and the calf sex at birth. Transcripts of USP9Y and DDX3Y genes were expressed in the all plasma of males and females both the control group and the experimental group. However, ZRSR2Y gene was matched up with the molecular testing and the true sex in control group and has an overall accuracy of 82.6%, a sensitivity of 75%, and a specificity of 100% in experimental group. Therefore, these results indicated that real time PCR technique, as a noninvasive and cost-efficient method, is possible to determination fetal sex in the bovine species using circulating cell free RNA in maternal plasma and especially ZRSR2Y gene could be a good candidate for the RNA based sex determination work.
Sex-sorting of sperm is an assisted reproductive technology (ART) used by the livestock industry for the mass production of animals of a desired sex. The standard method for sorting sperm is the detection of DNA content differences between X and Y chromosome-bearing sperm by flow cytometry. However, this method has variable efficiency and therefore requires verification by a second method. We have developed a sex determination method based on quantitative real-time polymerase chain reaction (qPCR) of the porcine amelogenin (AMEL) gene. The AMEL gene is present on both the X and the Y chromosome, but the length and sequence of its noncoding regions differ between the X and Y chromosomes. By measuring the threshold cycle (Ct) of qPCR, we were able to calculate the relative frequency of X chromosome. Two sets of AMEL primers were used in these studies. One set (AME) targeted AMEL gene sequences present in both X and Y chromosome, but produced PCR products of different lengths for each chromosome. The other set (AXR) bound to AMEL gene sequences present on the X chromosome but absent esholthe Y-chromosome. Relative product levels were calculated by normalizing the AXR fluorescence to the AME fluorescence. The AMEL method accurately predicted the sex ratios of boar sperm, demonstrating that it has potential value as a sex determination method.
Shit-tzu견에서 발정 주기, 교배 적기 및 배란 시기를 정확하게 추정하기 위한 질 세포 검사를 확립하기 위하여 Shih-tzu 견 12두를 대상으로 발정 주기동안 질 세포 검사 및 estradiol-와 progesterone 농도를 측정하여 다음과 같은 결과를 얻었다. 발정주기별 질 세포상의 특징적인 변화로서 발정 전기에는 무핵 세포와 적혈구, 발정기에는 표층 세포와 무핵 세포 및 적혈구가 주종을 이루는 세포였으며 발정 휴지기에는 소형 중간 세포와
This paper addresses a model for the transportation planning that determines the transportation cycle time and the ve-hicle Size to minimize the cost In a distribution system The vehicle routing to minimize the transportation distance of the vehicles is a
이 논문에서는 철근콘크리트 골조 구조물의 시공 시 작용하는 사하중, 활하중, 시공하중 등의 하중에 대한 지지 및 안전한 시공을 위해 설치되는 지지시스템에 대하여 보다 체계적인 분석이 이루어졌다. 지지시스템의 종류, 비계의 강성과 간격 등의 변화에 따른 구조물의 거동특성을 비교, 분석하였고, 기존의 설계규준 및 해석방법과의 비교를 위해 크리프 등의 시간의존적 거동을 고려한 경우와 괴려하지 않은 경우에 대하여 해석이 수행되었으며, 나무 비계를 사용한 경우와 강재 비계를 사용한 경우에 대한 비교 검토가 이루어졌다. 또한, 대표적인 3-경간 구조물에 대한 해석을 수행하여 내측 기둥과 외측 기둥의 부등축소에 따른 영향을 반영한 검토가 이루어졌다. 나아가 다양한 설계인자의 변화에 따른 거동분석을 통해 2SlR 지지시스템이 가장 효율적임을 제시하였다.
레이더법은 건축구조물에 대한 비파괴 검사의 대표적인 방법의 하나이다. 레이더로 측정된 결과들을 분석하기 위해서는 전자기파의 전파에 대한 수치적인 모델링을 통한 이론적인 접근이 필요하다. 콘크리트 시편에 전파되는 전자기파를 모델링하기 위해 유한차분 시간영역법을 적용하고자 한다. 유한차분 시간영역법은 전자파 해석과 모델링을 통한 시뮬레이션에 매우 유용한 방법이다. 본 연구에서는 유한차분 시간영역법을 이용하여 두께가 다른 5개의 시편을 3차원으로 모델링하였다. 모델링 결과와 실험 결과를 비교하여 실험에서 시편 뒷 표면을 찾으며 시편두께를 측정한다.
레이더법은 건축구조물에 대한 비파괴 검사의 대표적인 방법의 하나이다. 레이더법을 이용하는데 영향을 주는 요인들을 연구하고, 레이더로 측정된 결과들을 분석하기 위해서는 전자기파의 전파에 대한 수치적인 모델링을 통한 이론적인 접근이 필요하다. 콘크리트 시편에 전파되는 전자기파를 모델링 하기 위해 유한차분 시간영역법을 적용하고자 한다. 유한차분 시간영역법은 전자파 해석과 모델링을 통한 시뮬레이션에 매우 유용한 방법이다. 본 연구에서는 유한차분 시간영역법을 이용하여 두께가 다른 4개의 시편과 두께는 100로 동일하고 피복두께가 다른 3개의 시편을 3차원으로 모델링 하였다. 두께 측정 모델링 결과에서는 계산영역의 셀간격과 입사파의 파장/콘크리트 시편의 두께값이 모델링의 정확성에 미치는 영향을 알 수 있었다. 철근이 있는 시편의 모델링에서는 0.08%0.5%의 오차로 철근의 위치를 확인할 수 있었다.
In this study, the correlation between the durometer and the proctor penetration resistance tester, which is considered to be efficient in determining the setting time in a simple portability for soil and concrete utilizing organic lime (H) and Goto lime (G), is used. The results of the study show a high correlation between the portable hardness meter, the durometer and the proctor penetration resistance test period. Therefore, it is expected that the durometer will be useful for the measurement of setting time and the time limit.