• Korean Journal of Agricultural Science
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• v.50 no.4
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• pp.829-840
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• 2023

Various chemical pesticides are used to control diamondback moths, Plutella xylostella, which are agricultural pests that occur in cruciferous crops worldwide and cause economic losses. However, due to pesticide misuse, resistance to P. xylostella is consistently reported domestically and internationally. Therefore, we aimed to monitor and map regional resistance to devise efficient and economical control methods for P. xylostella in Korea. This study selected eight highly used insecticides among those registered against P. xylostella. P. xylostella were collected from three cities in the Gyeonggi and Yeongnam Provinces to evaluate insecticide resistance. As a result of experiments with populations collected from Yeoju, Gyeonggi Province, resistance ratios were 114.88, 54.75, 119.00, and 64.00 times higher than the susceptible population with methoxyfenozide, indoxacarb, cyantraniliprole, and fluxametamide, respectively. The resistance ratios of the Yongin population in Gyeonggi Province were 166.33 times with cyantraniliprole and 195.25 times with fluxametamide higher than the susceptible population. The Pocheon population in Gyeonggi Province showed a resistance ratio 283.23 times higher than methoxyfenozide. As a result of experiments with populations collected from Gimhae and Sangju, Yeongnam Province, the resistance ratios of the Gimhae population were 80.97, 138.00, and 89.50 times higher than the susceptible population with methoxyfenozide, cyantraniliprole, and fluxametamide, respectively. Meanwhile, the resistance ratios of the Sangju population were 85.83, 224.67, and 303.25 times higher than the susceptible population with methoxyfenozide, cyantraniliprole, and fluxametamide, respectively. The Yeongnam Province Tongyeong population showed a resistance ratio 367.28 times higher to methoxyfenozide.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.706-716
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• 2016

This study aims at finding impact of cultural and sports characteristics on urban growth. For the empirical analysis, this study uses unique urban resources associated with four categories (Social, Traffic, Cultural and Sports, and Spatial characteristics) among 228 cities and towns using a semi-log multiple regression analysis. The result shows that various local resources have significant impacts on urban growth in terms of population, industry, and fiscal self-reliance ratio. Impressively, cultural and sports resources are relatively beneficial for the urban growth. For the population and industrial growth, expanding public sports facilities and professional sports facilities can be more efficient. For solid local finance, typically focusing on professional sports facilities that have far-reaching ripple effects are useful. The conclusion for this study shows that urban growth policy should prioritize the cultural and sports resources because it can be more effective way to enhance not only for urban growth but also for quality of citizens' life.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.101-109
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• 2023

According to data released by the Covid 19 Self-Employed Emergency Response Committee, 95.6% of small business sales due to Covid 19 have decreased over the past two years, and the damage has further increased due to social distancing for quarantine. However, as all social distancing guidelines have rebeen lifted, and the commercial district has been revitalized, the Seoul Metropolitan Government is pushing for a project to foster local brand commercial districts so that small business owners or prospective founders who have closed their businesses due to the prolonged COVID-19. Therefore, this study propose the model that recommends alley commercial districts suitable for founders among the five alley commercial districts selected for the project to foster local brand commercial districts in Seoul. The Seoul Metropolitan Government's local brand alley commercial recommendation system recommends major population age groups and major industries in the commercial district by combining the population perspective model using Xgboost and the commercial district characteristic model using Decision Tree.

• Journal of Korean Society of Transportation
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• v.23 no.4 s.82
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• pp.31-36
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• 2005

Traffic safety evaluation of a city or area on the basis of the accident rate has a limitation that its result is dependent on the characteristics of population. In this paper. we developed a methodology of taking simultaneously the population into account in evaluating the safety, and calculated the traffic safety evaluation index of 25 local governments in the metropolitan area. Based on the result of calculation of the traffic safety evaluation index, it is identified that the proposed approach is able to be an alternative to cooperatively consider various population. The correlation coefficients between the traffic safety evaluation index I(X) which is cooperatively consider the population size and road length, and population based F(P) and road length based F(L) are 0.68 and 0.92 respectively. This means that the proposed approach can overcome the limitation which safety evaluation index are differently calculated according to the characteristics of population. The methodology and traffic safety evaluation index proposed in this paper can be utilized in executing the traffic safety policies for local governments and areas.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.11
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• pp.4502-4518
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• 2015

Fisher linear discriminant analysis (LDA) is one of the most popular projection techniques for feature extraction and has been widely applied in face recognition. However, it cannot be used when encountering the single sample per person problem (SSPP) because the intra-class variations cannot be evaluated. In this paper, we propose a novel method called local similarity based linear discriminant analysis (LS_LDA) to solve this problem. Motivated by the "divide-conquer" strategy, we first divide the face into local blocks, and classify each local block, and then integrate all the classification results to make final decision. To make LDA feasible for SSPP problem, we further divide each block into overlapped patches and assume that these patches are from the same class. To improve the robustness of LS_LDA to outliers, we further propose local similarity based median discriminant analysis (LS_MDA), which uses class median vector to estimate the class population mean in LDA modeling. Experimental results on three popular databases show that our methods not only generalize well SSPP problem but also have strong robustness to expression, illumination, occlusion and time variation.

• The Korean Journal of Health Service Management
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• v.8 no.2
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• pp.11-22
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• 2014

This study purposed to analyze the regional variation of the local-out rates of inpatient services. Multiple data sources collected from National Health Insurance Corporation and statistics Korea were merged to produce the analysis data set. The unit of analysis in this study was city, Gun, Gu, and all of them were included in analysis. The dependent variable measured the local-out rate of inpatient cost in study regions. Local environments were measured by variables in three dimensions: provider factors, socio-demographic factors, and health status. Along with the traditional ordinary least square (OLS) based regression model, geographically weighted regression (GWR) model were applied to test their effects. SPSS v21 and ArcMap v10.2 were applied for the statistical analysis. Results from OLS regression showed that most variables had significant relationships with the local-out rate of inpatient services. However, some variables had shown diverse directions in regression coefficients depending on regions in GWR. This implied that the study variables might not have consistent effects and they may varied depending the locations.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.795-806
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• 2021

This study analyzes and assesses the effect of good governance consisting of accountability, transparency, and participation on the financial performance of Pare-Pare City local government moderated by the basic values of Siri culture in the form of Lempu (honesty), Amaccangeng (intelligence), and Awaraningeng (courage). The population of this research is 200 local government employees (respondents). The results of data analysis showed that accountability and participation variables had no significant effect on the financial performance of the Pare-Pare City local government. However, the transparency variable has an influence on local government financial performance. It is hoped that all these 3 variables (accountability, transparency, and participation) will have a significant effect on local government financial performance. To achieve this, it is necessary to apply cultural values that exist in society so that cultural values can provide greater guidance in the management of regional finances. The results provide a better understanding of the importance of Siri's cultural value in the implementation of public services to the community. With Siri's cultural values in the form of Lempu, Amaccangeng, and Awaraningeng embedded in their behavior, government employees can improve performance and avoid deviant behavior or corruption. The novelty of this research is a form of analysis by using local cultural values (the basic values of Siri culture) as the moderating variable.

• Journal of Dental Anesthesia and Pain Medicine
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• v.21 no.1
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• pp.41-47
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• 2021

Background: This study was designed to compare the efficacy of DentalVibe against 2% lidocaine gel in reducing pain during the administration of local anesthetic injection in the adult population. Methods: This was a split-mouth open-label, randomized, controlled clinical study conducted in the Department of Oral and Maxillofacial Surgery of a dental institute. Fifty patients who were scheduled for bilateral dental extractions requiring an inferior alveolar nerve block were enrolled in the study. Site A (n = 50) was coated with 2% lidocaine gel followed by a local anesthetic injection, and DentalVibe with local anesthetic injection was used for Site B (n = 50). The primary outcome was pain, which was recorded immediately after the administration of anesthetic injection using the Visual Analogue Scale [VAS 0 - 10]. Results: The VAS pain scores ranged from 4 to 10 for site A and 0 to 6 for site B. Comparison between the two sites showed a statistically significant difference [Mann-Whitney U test value = 51.50, P < 0.001] favoring site B. Conclusion: This study showed that DentalVibe reduces pain during injection of local anesthesia compared to topical anesthetic gel.

• Journal of Korean Society on Water Environment
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• v.29 no.3
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• pp.377-382
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• 2013

Enriching anammox bacteria (AMX) in a lab-scale granular sequencing batch reactor using local digester centrate, we observed the significant enrichment of the filamentous-like bacterial population. These bacteria were revealed as novel bacterial species (termed CHL) belonging to Chlorobi/Bacteroidetes phyla via Denaturing Gradient Gel Electrophoresis (DGGE). Further, niche differentiation of AMX and CHL quantification was observed in granule and filament biomass, suggesting AMX was dominant in the granule and CHL was dominant in the filament. Therefore, it was confirmed the structural role of CHL was indeed to aid the granule formation of the AMX. In parallel, the physiological role of CHL was suspected to degrade biopolymers in the digester centrate using nitrate as an electron acceptor.

• Journal of the Korean Society for Precision Engineering
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• v.16 no.1 s.94
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• pp.116-124
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• 1999

In most conventional design optimization of dynamic system, design sensitivities are utilized. However, design sensitivities based optimization method has numbers of drawback. First, computing design sensitivities for dynamic system is mathematically difficult, and almost impossible for many complex problems as well. Second, local optimum is obtained. On the other hand, Genetic Algorithm is the search technique based on the performance of system, not on the design sensitivities. It is the search algorithm based on the mechanics of natural selection and natural genetics. GA search, differing from conventional search techniques, starts with an initial set of random solutions called a population. Each individual in the population is called a chromosome, representing a solution to the problem at hand. The chromosomes evolve through successive iterations, called generations. As the generation is repeated, the fitness values of chromosomes were maximized, and design parameters converge to the optimal. In this study, Genetic Algorithm is applied to the actual dynamic optimization problems, to determine the optimal design parameters of the dynamic system.