• Computers and Concrete
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• v.22 no.4
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• pp.355-363
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• 2018

In the following paper, a socio-political heuristic search approach, named the imperialist competitive algorithm (ICA) has been used to improve the efficiency of the multi-layer perceptron artificial neural network (ANN) for predicting the compressive strength of concrete. 173 concrete samples have been investigated. For this purpose the values of slump flow, the weight of aggregate and cement, the maximum size of aggregate and the water-cement ratio have been used as the inputs. The compressive strength of concrete has been used as the output in the hybrid ICA-ANN model. Results have been compared with the multiple-linear regression model (MLR), the genetic algorithm (GA) and particle swarm optimization (PSO). The results indicate the superiority and high accuracy of the hybrid ICA-ANN model in predicting the compressive strength of concrete when compared to the other methods.

• The Plant Pathology Journal
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• v.17 no.4
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• pp.205-209
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• 2001

Dicarboximide-resistant isolates of Monilinia fructicola grew readily on media amended with dicarbosimide fungicides, and showed cross-resistance to pentachlo-ronitrobenzene (PCNB). The fitness of resistant isolates was inferior to that of sensitive isolates. Mycelial growth on fungicide-free medium was not significantly different between the dicarboximide-resistant and sensitive isolates. The originally high $\textrm{EC}_{50}$ values of the resistant isolate decreased after storage for 16 weeks at $4^{\circ}$. After inoculation with the mixture of spore suspensions of resistant and sensitive isolates, the re-isolation rate of the resistant spores was significantly reduced regardless of the mixing ratio. From the results, it could be concluded that the competitive ability of the resistant isolates is inferior to the sensitive ones.

• Biomolecules & Therapeutics
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• v.13 no.1
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• pp.32-34
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• 2005

Effect of isoliquiritigenin isolated from the heartwood of Dalbergia odorifera T. Chen (Leguminosae) on mushroom tyrosinase activity was investigated in vitro using L-tyrosine and L-3, 4-dihydroxyphenylalanine (L-DOPA) as the substrates. When L-tyrosine was used as a substrate, both isoliquiritigenin and kojic acid, a positive control, inhibited tyrosinase activity in a concentration-dependent manner. IC$_{50}$ values of isoliquiritigenin and kojic acid were 61.4 and 52.2 ${\muM}$, respectively. However, isoliquiritigenin showed week inhibitory effect on the oxidation of L-DOPA by tyrosinase with inhibition ratio of 9.1 ${\pm}$ 7.1% at 100 ${\muM}$. It is also suggested that 3-unsubstituted and 4-hydroxyl phenyl group in isoliquiritigenin plays an important role on the inhibition of tyrosinase activity when L-tyrosine was used as a substrate. Analysis of Lineweaver-Burk plot showed that isoliquiritigenin acts as a competitive inhibitor in case of L-tyrosine as a substrate.

• Journal of Korean Society for Quality Management
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• v.40 no.2
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• pp.156-165
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• 2012

The objective of this study is to identify the critical dimensions of comprehensive quality and to prioritize them for improvement of the quality competitive advantage. The critical dimensions, sub-dimensions and measurement items of comprehensive quality were abstracted from literature of quality, and constructed a model of hierarchical structure. 115 experts in four groups(supplier, buyer, consultant, and professor) were participated in pair-wise comparison of quality dimensions, but some of these responses were removed because the overall consistency of evaluator judgements exceed the acceptable ratio of 0.10. The priorities of quality dimensions for industrial and consumption goods were calculated respectively using the analytic hierarchy process(AHP) approach. As a result, product quality had the highest weight of 0.65, followed by support quality(0.18) and service quality(0.17) for industrial goods while product quality also had the highest weight of 0.62, but service quality(0.22) was preferred over support quality(0.16) for consumption goods.

• Journal of Korean Institute of Industrial Engineers
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• v.27 no.2
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• pp.214-225
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• 2001

This research deals with an off-line learning method targeted for systematically constructing negotiation strategies in automated electronic commerce. Single-issue negotiation is assumed. Variants of competitive learning and hierarchical clustering method are devised and applied to extracting negotiation strategies, given historical negotiation data set and tactics. Our research is motivated by the following fact: evidence from both theoretical analysis and observations of human interaction shows that if decision makers have prior knowledge on the behaviors of opponents from negotiation, the overall payoff would increase. Simulation-based experiments convinced us that the proposed method is more effective than human negotiation in terms of the ratio of negotiation settlement and resulting payoff.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.8
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• pp.1934-1939
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• 2013

In this paper, we consider the online scheduling problem of jobs with deadlines. The jobs arrive over time and the scheduling algorithm has no information about the arriving jobs in advance. The jobs have the processing time of the equal length and the goal of the scheduling algorithm is to maximize the number of jobs completed in their deadlines. The performance of the online algorithm is compared with that of the optimal algorithm which has the full information about all the jobs. The raio of the two performances is called the competitive ratio. In general, the ratio is unbouned. So the case that the online algorithm can have more resources than the optimal algorithm is considered, which is called the resource augmentation analysis. In this paper, the online algorithm have more machines. We show that the online algorithm can have the same performance as the optimal algorithm.

• KDI Journal of Economic Policy
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• v.38 no.3
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• pp.79-106
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• 2016

This paper investigates the effectiveness of public credit guarantee programs and interest-support programs for SMEs (small and medium enterprises). First, assuming that there is an imperfect information structure in the SME loan market, we analyze how SME support financial programs affect the corporate decisions made by SMEs with regard to default or loan sizes. In addition, this paper theoretically computes the optimal levels of credit guarantee amounts and the interest-support spread under equilibrium with imperfect information in a competitive loan market. Second, the paper empirically analyzes the continuous policy-treatment effect with the GPS (generalized propensity score) method. In particular, we consider the ratio of guaranteed debt to the total debt as a continuous policy treatment. The empirical results show that marginal effects of a credit guarantee on SMEs' productivity, profitability, and growth potential decrease with the ratio of guaranteed debt to the total debt. In addition, the average effect of a credit guarantee is maximized when this ratio is at 50% to 60%.

• Korean Management Science Review
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• v.27 no.2
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• pp.55-66
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• 2010

In Korea, deap-sea fishing industry plays an important role in a food industry. However, it is in a difficult situation because of the more competitive business environment. Therefore, there is a need to restructure the deap-sea fishing industry by scraping superannuated ships. This paper is designed to present scrap programs for deap-sea fishing industry of Korea. We performed ratio analysis to evaluate financial performance of fishing companies and then applied a mixed integer programming (MIP) model to identify optimal schedule for scraping. The results of the financial ratio analysis indicates that it is legible to provide governmental aid to Atlantic trawl, Northern Pacific trawl, and Indian ocean trawl with minimum required rate of return (MRR) of 3%, and the Atlantic strip fishing industry is qualified to receive the governmental aid with MRR value of 5%. Furthermore, by applying the MIP model to develop scrap planning, we demonstrate how our model can be used to restructure the deap-sea fishing industry of Korea.

• Journal of Korea Multimedia Society
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• v.7 no.12
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• pp.1737-1744
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• 2004

In the compression methods widely used today, the image compression by VQ is the most popular and shows a good data compression ratio. Almost all the methods by VQ use the LBG algorithm that reads the entire image several times and moves code vectors into optimal position in each step. This complexity of algorithm requires considerable amount of time to execute. To overcome this time consuming constraint, we propose an enhanced self-organizing neural network for color images. VQ is an image coding technique that shows high data compression ratio. In this study, we improved the competitive learning method by employing three methods for the generation of codebook. The results demonstrated that compression ratio by the proposed method was improved to a greater degree compared to the SOM in neural networks.

• International Journal of Quality Innovation
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• v.5 no.2
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• pp.122-131
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• 2004

Because of three reasons: rare natural resources, high dependent ratio and rapid wage increases, Korea must take the non-price competitive strategy. The developing process of quality management system in Korea can be categorized into five stages according to changes in economic policy. In order to develop the Korean quality management system effectively, we should try to connect total quality management with management system and emphasize the training and education.