• International conference on construction engineering and project management
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• 2007.03a
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• pp.563-572
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• 2007

Transportation infrastructure is critical to economic growth of a country such as China. Careful evaluation of investments in traffic infrastructure projects is therefore pertinent. As traditional evaluation methods do not consider the uncertainty of future cash flows and mobility during project execution, the real option approach is gradually gaining recognition in the context of valuing construction and infrastructure projects. However, many of the cases only evaluate individual options separately although multiple options often exist in a typical large infrastructure project. Using a highway project in China as a case study, this paper first evaluates a deferment option and a growth option embedded in the project. Subsequently, the values are combined using the fuzzy analytical hierarchy process. It is found that the combined value is less than the sum of the two option values. This finding is consistent with the theoretical observations given in past real option literature despite the use of a different approach.

• Biomolecules & Therapeutics
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• v.3 no.3
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• pp.233-237
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• 1995

The growth effects of newly developed recombinant human growth hormone (rHGH), were compared with those of Biotropine. For the effective evaluation, we examined the increasing rate of body weight and the thickness of tibial epiphysis as criteria of growth effects on hypophysectomised female rats treated with varing concentration of rHGH for 4 days. rHGH treated groups showed significant body weight gain which was less evident in Biotropine and vehicle treatment group. In tibial epiphyseal test, rHGH also showed clear effects compared to Biotropine and vehicle treatment group. Above findings indicate that newly developed rHGH has better effects of growth stimulation on female rats than Biotropine does.

• Journal of Food Hygiene and Safety
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• v.26 no.1
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• pp.25-30
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• 2011

In this study, predictive mathematical models were developed to predict the kinetics of Listeria monocytogenes growth in the mixed fresh-cut vegetables, which is the most popular ready-to-eat food in the world, as a function of temperature (4, 10, 20 and $30^{\circ}C$). At the specified storage temperatures, the primary growth curve fit well ($r^2$=0.916~0.981) with a Gompertz and Baranyi equation to determine the specific growth rate (SGR). The Polynomial model for natural logarithm transformation of the SGR as a function of temperature was obtained by nonlinear regression (Prism, version 4.0, GraphPad Software). As the storage temperature decreased from $30^{\circ}C$ to $4^{\circ}C$, the SGR decreased, respectively. Polynomial model was identified as appropriate secondary model for SGR on the basis of most statistical indices such as mean square error (MSE=0.002718 by Gompertz, 0.055186 by Baranyi), bias factor (Bf=1.050084 by Gompertz, 1.931472 by Baranyi) and accuracy factor (Af=1.160767 by Gompertz, 2.137181 by Baranyi). Results indicate L. monocytogenes growth was affected by temperature mainly, and equation was developed by Gompertz model (-0.1606+$0.0574^*Temp$+$0.0009^*Temp^*Temp$) was more effective than equation was developed by Baranyi model (0.3502-$0.0496^*Temp$+$0.0022^*Temp^*Temp$) for specific growth rate prediction of L.monocytogenes in the mixed fresh-cut vegetables.

• Korean Journal of Agricultural Science
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• v.49 no.3
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• pp.655-666
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• 2022

We assessed the persistence of eight major cruciferous crops-leaf mustard, oilseed rape, cabbage, broccoli, cauliflower, Chinese cabbage, turnip, and radish-growing in the field. In the first part of our experiment, we tested the viability of seeds that had been buried at two different soil depths for up to 16 months. We then broadcast seeds over the soil surface and left them undisturbed to investigate the survivorship of the resultant plants over two years. Seed viability was significantly affected by plant taxa and burial depth, but not substantially affected by the duration of burial. Although seeds of leaf mustard had the greatest viability among all crops examined here, the viability rates were significantly lower at 2 cm depth than at 15 cm. Seeds of leaf mustard, oilseed rape, broccoli, turnip, and Chinese cabbage remained viable throughout the 16-month period. A study of plant demography revealed that only leaf mustard and oilseed rape succeeded in producing seeds and overwintering in the undisturbed field. However, neither of those species competed well with other plants long-term and their overall growth and survival rates declined during the evaluation period. In addition, insect herbivory severely decreased the growth of all of these crops. Our results suggest that populations of leaf mustard and oilseed rape do not tend to persist in the field for more than a few years without disturbance and external seed inputs.

• Journal of Technology Innovation
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• v.26 no.2
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• pp.129-149
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• 2018

Technology finance is an area in which financial authorities have introduced and implemented a strong policy will for the advancement of the financial industry and the development of SMEs. As a result, the Bank's own technology evaluation was conducted from September 2016. Technically superior companies are upgrading their credit ratings, and as a result, they benefit from financial transactions as much as their higher credit ratings through technology evaluation. Based on the data generated during this process, we analyze the degree to which credit ratings was upgraded by technology evaluation. The pre study handles 406 data from KEB Hana Bank's technology evaluation conducted in the second half of 2016. As a result of combining the credit rating with the calculated technology rating, J58 'Publishing Activities' technology-credit rating is raised by 1.05 rating, which is the highest, and C10 'Manufacture of Food Products' is the second highest. As a result, we were able to identify the sectors that benefited from the technology evaluation and confirmed the usefulness of technology evaluation by industry(KSIC). To expanding the study, 2,719 companies evaluated during the entire period were analyzed by technology grade, business experience and promising growth industry code. As a result of the analysis, technological power over T-4 grade companies had the highest credit rating upgrades. The companies belonging to promising growth industries designated for efficiency of policy support, it is confirm that the support of the promising business type was useful because the credit grade was upgraded through technology evaluation. The validity of the technology evaluation based on the five-year business experience was found to be insignificant. In the future, it will be possible to maximize the support effect by concentration on the companies with over T-4 grade and growth potential companies when supporting SMEs.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2001.10a
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• pp.232-237
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• 2001

The evaluation of specimen thickness effect of fatigue crack growth life by the simulation of probabilistic fatigue crack growth is presented. In this paper, the material resistance to fatigue crack growth is treated as a spatial stochastic process, which varies randomly on the crack surface. Using the previous experimental data, the non-Gaussian(eventually Weibull, in this report) random fields simulation method is applied. This method is useful to estimate the probability distribution of fatigue crack growth life and the variability due to specimen thickness by simulating material resistance to fatigue crack growth along a crack path.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.8 no.1
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• pp.119-125
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• 1999

The distribution of fatigue crack growth rate is subjected to the measuring interval and calculated method of growth rate. In this paper, in order to establish the method of determining the distribution of fatigue crack growth rate, which ignores those influences, a series of fatigue crack growth experiments and measuring intervals of crack length calculated reasonable are presented. The main conclusions obtained are summarized as follows: 1) As a result of the ΔP constant test and ΔK constant test, it is thought that an approximate measuring interval of 0.3~0.7mm is reasonable, which allows for few errors and is little subjected to the calculated method of crack growth rate. 2) After generally comparing the error estimation by using the experimental data of CCT specimen with the error rating of the CT specimens, it is possible that the fatigue test has few errors within the measuring interval, ξ(Δa/W)=0.0067~0.017, regardless of the dimension of specimen geometry.

• Journal of the Korean Society of Safety
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• v.13 no.4
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• pp.113-120
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• 1998

Fatigue crack growth rates(i.e. crack initiation and crack growth of short and long crack) are investigated using commercial plates of high strength Al alloy 7075-T651 for the transverse-longitudinal(T-L) direction in air, water and sea water. Also, the evaluation direct current potential drop(D.C.P.D) method and the fractographical analysis by SEM are carried out. Near threshold region, short crack growth rates were much faster than those of comparable long cracks, and these short crack growth rates actually decrease with increasing crack growth and eventually merge with long crack data. Fatigue crack propagation rates in aggressive media(i.e. sea water) increase noticeably over three times those in air. One of the most significant characters in this phenomenon as a corrosion-fatigue causes an acceleration in crack growth rates. Sea water environment, particularly Cl$^{[-10]}$ solution brings the most detrimental effects to aluminum alloy. The result of fractographical morphology in air, water and sea water by SEM shows obvious dimpled rupture and typical striation in air, but transgranular fracture surface in water and sea water.

• East Asian Economic Review
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• v.23 no.2
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• pp.169-202
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• 2019

Productivity in agriculture or services has long been understood as playing an important role in the growth of manufacturing. In this paper we present a general equilibrium model in which manufacturing growth is stimulated by non-manufacturing sectors that provides goods used in both research and final consumption. The model permits the evaluation of two policy options for stimulating manufacturing growth: (1) a country imports more non-manufacturing goods from a foreign country with higher productivity and (2) a country increases productivity of domestic non-manufacturing. We find that both policies improve welfare of the economy, but depending on the policy the manufacturing sector responses differently. Specifically, employment and value-added in manufacturing increase with policy (1), but contract with policy (2). Therefore, specialization of the import non-manufactured goods helps explain why some Asian economies experience rapid growth in the manufacturing sector without progress in other sectors.

• Journal of Applied Reliability
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• v.15 no.2
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• pp.90-100
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• 2015

Reliability growth rate (or reliability growth curve slope) have the two cases of trend as a constant or changing one during the reliability growth testing. The changing case is very common situation. The reasons of reliability growth rate changing are that the failures to follow the NHPP (None-Homogeneous Poisson Process), and the solutions implemented during test to break out other problems or not to take out all of the root cause permanently. If the changing were big, the "Goodness of Fit (GOF)" of reliability growth curve to test data would be very low and then reduce the accuracy of assessing result with test data. In this research, we are using Duane model and AMSAA model for assessing test data and projecting the reliability level of complex and repairable system as like construction equipment and vehicle. In case of no changing in reliability growth rate, it is reasonable for reliability engineer to implement the original Duane model (1964) and Crow-AMSAA model (1975) for the assessment and projection activity. However, in case of reliability growth rate changing, it is necessary to find the method to increase the "GOF" of reliability growth curves to test data. To increase GOF of reliability growth curves, it is necessary to find the proper parameter calculation method of interesting reliability growth models that are applicable to the situation of reliability growth rate changing. Since the Duane and AMSAA models have a characteristic to get more strong influence from the initial test (or failure) data than the latest one, the both models have a limitation to contain the latest test data information that is more important and better to assess test data in view of accuracy, especially when the reliability growth rate changing. The main objective of this research is to find the parameter calculation method to reflect the latest test data in the case of reliability growth rate changing. According to my experience in vehicle and construction equipment developments over 18 years, over the 90% in the total development cases are with such changing during the developing test. The objective of this research was to develop the newly assessing method and the process for GOF level increasing in case of reliability growth rate changing that would contribute to achieve more accurate assessing and projecting result. We also developed the new evaluation method for GOF that are applicable to the both models as Duane and AMSAA, so it is possible to compare it between models and check the effectiveness of new parameter calculation methods in any interesting situation. These research results can reduce the decision error for development process and business control with the accurately assessing and projecting result.