• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1149-1160
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• 2019

In this study, two radiometric correction methods deriving reflectance from UAV multispectral image for monitoring forest vegetation were applied and evaluated. Multispectral images were obtained from a small multispectral camera having 5 spectral bands. Reflectance were derived by applying the two methods: (1) the direct method using downwelling irradiance measurement and (2) the empirical line correction method by linking a set of field reflectance measured simultaneous with the image capture. Field reflectance were obtained using a spectroradiometer during the flight and used for building the linear equation for the empirical method and for the validation of image reflectance derived. Although both methods provided the high correlations between field reflectance and image-derived reflectance, their distributions were somewhat different. While the direct method provided rather stable and consistent distribution of reflectance all over the entire image area, the empirical method showed very unstable and inconsistent reflectance distribution. The direct method would be more appropriate for relatively wide area that requires more time to acquire image and may vary in downwelling irradiance and atmospheric conditions.

• Journal of Distribution Research
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• v.17 no.5
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• pp.85-111
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• 2012

Introduction : The purpose of this study was to examine the relationship between perceptual characteristics of consumers and intent of relational continuance for PB(Private Brand) products in discount stores. This study was conducted as an empirical study based on survey. For the empirical study, factors of PB products as characteristics perceived by consumers such as perceived quality, store image, brand image and perceived value were deduced from preceding studies. The effect of such factors on intent of relational continuance mediated by brand trust and brand equity of PB products was structurally examined. Research Model : Based on theory analysis and hypotheses, constructed a Structural Equation Model(SEM). The research model is shown in Figure 1. Research Method : This paper is based on s qualitative study of selected literature and empirical data. The survey for empirical study was carried out on consumers in Gyeonggi and Busan between January 2012 and May 2012. 300 surveys were distributed and 253 (84.3%) of them were returned. After excluding omissions and insincere responses, 245 surveys (81.6%) were used for final analysis as effective samples. Result : First of all, the Reliability was carried out for instrument used. The lower limit of 0.7 for Cronbach's Alpha as suggested by Hair et al. (1998). And Construct validity was established by carrying out exploratory factor analysis by Varimax rotation for all. Four factor result for the consumer's perceptual characteristics of PB Products, two mediating factors and one dependent factor. All constructs included in research framework have acceptable validity and reliability. Table 1 shows the factor loading, eigen value, explained variance and Cronbach's alpha for each factor. In order to assure validity of constructs, I implemented Confirmatory Factor Analysis (CFA), using AMOS 20.0. In confirmatory factor analysis, researcher can take control over the specification of indicators for each factor by hypothesizing that a specific factor is loaded with the relevant indicators. Moreover, CFA is particularly useful in the validation of scale for the measurement of specific construct. CFA result summarized Table 2 shows that the fit measures of all constructs fulfill the recommended level and loadings are significant. To test causal relationship between constructs in the research model, used AMOS 20.0 that provides a graphic module as method for analysing Structural Equation Modeling. The result of hypothesis test is shown in Table 3. As a result of empirical study, perceived quality, brand image and perceived value as selected attributes for PB products showed significantly positive (+) effect on brand trust and brand equity. Furthermore, brand trust and brand equity showed significantly positive (+) effect on intent of relational continuance. However, store image of discount stores selling the PB products was analyzed to have positive (+) effect on brand trust and no significant effect on brand equity. Discussion : Based on the results of this study, the relationship between overall quality, store image, brand image and value perceived by consumers about PB products and intent of relational continuance was structurally verified as being mediated by brand trust and brand equity. Looking at the results, a strategic approach that maximizes brand trust and equity value for PB products by large discount stores is required on top of basic efforts to improve quality, brand image and value of PB products in order to maximize consumer's intent of relational continuance and to continuously attract repeated purchase of products.

• Journal of Korea Port Economic Association
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• v.30 no.3
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• pp.121-140
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• 2014

The purpose of this study is to identify economic benefits for analyzing the future port and propose an appropriate estimation model. This research has conducted the empirical analysis in order to examine the developed research model. First of all, several existing economic benefits are reviewed and the list of benefits, are able to quantify and characterizable, is selected for the next step. We test the application possibility of the proposed model applying for the three suggestions(AS/RS, OSS, Sky Rail) which are based on "Development of Smart Green Container Terminal Technology." The results of this paper are as follows: Firstly, all of the alternatives are proved economic validation because the values of B/C analysis are over 1.0. Secondly, sensitive analysis is attempted to test unforeseeable circumstances based on the cost increases. The result of the test is identified economic validation as well. Lastly, we convince that the proposed research model in this study is particularly applicable to future container terminal so-called "eco-friendly and fully automated container terminal with high productivity."

• Korea journal of population studies
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• v.30 no.2
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• pp.117-146
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• 2007

The research reported in this paper suggests an index of a 'good job' and validates it in several different ways. Not much is known yet, it is emphasized, about what the defining characteristics of a good job are and what the causes and major consequences are resulting from the attainment of such job. This is not merely because relatively little attention has been paid to construct a usable index, but also because a few studies, if any, were often plagued with several limitations, some theoretical and other analytical. As a consequence, fragmented speculations and research findings tended to flourish in the shortage of an overarching conceptualization and rigorous empirical assessment. In particular, a comprehensive index that encompasses a few critical job characteristics based on some solid theoretical underpinnings was in thirsty want. To relieve this want, the current study tries to formulate such index and validate it. A covariance structure analysis of representative national sample survey (Korean General Social Survey) data in South Korea indicates that wage, occupational prestige, authority and job security are the defining characteristics of a good job and that the index consisting of these characteristics is generally valid with respect to its constituent attributes, antecedents and a consequence, thereby supporting its discriminant-convergent and construct validities. The findings are interpreted with providing a few substantive implications stemming from them.

• Korean Journal of Clinical Laboratory Science
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• v.38 no.2
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• pp.117-124
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• 2006

The analytical measurement range (AMR) is the range of analyte values that a method can directly measure on a specimen without any dilution, concentration, or other pretreatment not part of the usual assay process. The linearity of the AMR is its ability to obtain test results which are directly proportional to the concentration of analyte in the sample from the upper and lower limit of the AMR. The AMR validation is the process of confirming that the assay system will correctly recover the concentration or activity of the analyte over the AMR. The test specimen must have analyte values which, at a minimum, are near the low, midpoint, and high values of the AMR. The AMR must be revalidated at least every six months, at changes in major system components, and when a complete change in reagents for a procesure is introduced; unless the laboratory can demonstrate that changing the reagent lot number does not affect the range used to report patient test results. The AMR linearity was total protein (0-16.6), albumin (0-8.1), total bilirubin (0-18.1), alkaline phosphatase (0-1244.3), aspartate aminotransferase (0-1527.9), alanine aminotransferase (0-1107.9), gamma glutamyl transpeptidase (0-1527.7), creatine kinase (0-1666.6), lactate dehydrogenase (0-1342), high density lipoprotein cholesterol (0.3-154.3), sodium (35.4-309), creatinine (0-19.2), blood urea nitrogen (0.5-206.2), uric acid (0-23.9), total cholesterol (-0.3-510), triglycerides (0.7-539.6), glucose (0-672.7), amylase (0-1595.3), calcium (0-23.9), inorganic phosphorus (0.03-17.0), potassium (0.1-116.5), chloride (3.3-278.7). We are sure that materials for the AMR affect the evaluation of the upper limit of the AMR in the process system.

• (The) Korean Journal of Educational Psychology
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• v.22 no.2
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• pp.367-384
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• 2008

The purpose of this study was to develop picture testing instrument for measuring children's causal reasoning ability on events that can occur in daily life. The measurement instrument contains three domain of human development; haman behavior domain, human psychology domain, and natural/physical domain. Through this study, researchers designed a concept model based on theoretical framework and prior studies and investigated the reliability and validity of the measurement instrument which was developed in accordance with the concept model. For the empirical validation research, a pretest was conducted to 336 elementary school students in grade 2 to 4 in Seoul. Considering reliability and validity of the developed measurement instrument and factor loadings, researchers sorted out 18 questions. And then 18 question test and KICE Critical Thinking Ability Test was conducted to 509 elementary school students in grade 1 to 4 in Seoul. According to the result of the tests, the researchers sorted out final 12 questions. The Cronbach's alpha, reliability of the children's causal reasoning ability test consisted of the final 12 question, was significant as .72. Also, the result of exploratory factor analysis showed that factors of this test were haman behavior domain, human psychology domain, and natural/physical domain. Moreover, the correlation between the KEDI Reasoning Ability Test(2003) scores and the scores of the test developed in the current study was significant as .55. Finally, the result of the analysis about children's grade differences, the development by discrepancy of age was significant in total points and that of each domain. The children's causal reasoning ability test developed by this study can be useful not only for the evaluation of children's thinking ability but also for screening of the handicapped children in thinking ability development.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.192-198
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• 2016

The purpose of this study was to determine the relationship between the brand and awareness of the brand image relationship in a catering company in Gwangju quality(trust, satisfaction). Twenty adults aged 20 years or older residing in Gwangju were surveyed after setting a hypothesis as a convenience sampling method in order to achieve the research objectives via extraction of the sample survey and empirical analysis. Customers using the brand image of catering companies in a relationship significantly affected the quality of the relationship (trust) forming symbolic images, but the images that were empirically related significantly to the trust did not form a significant relationship for trust. Brand image quality significantly impacted the relationship(satisfaction) that is the symbolic image of relations forms a significant relationship between satisfaction. Empirically, however, the image did not form a significant relationship for satisfaction. Brand recognition is significant in relationship quality(trust) and a significant relationship brand recognition, as it has formed a significant relationship on trust. Brand recognition is the quality of the catering companies using the customer significant effect on the relationship (satisfaction) relationship of brand recognition was formed a significant relationship satisfaction. As a result, the catering company's brand image, brand perception and empirical validation suggested a relationship between the quality of the relationship that provided very significant implications in this regard. In the future, overcoming the limitations of this study will necessitate conducting a more in-depth and detailed study.

• Horticultural Science & Technology
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• v.30 no.3
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• pp.270-277
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• 2012

Greenhouse industry has been growing in many countries due to both the advantage of stable year-round crop production and increased demand for fresh vegetables. In greenhouse cultivation, $CO_2$ concentration plays an essential role in the photosynthesis process of crops. Continuous and accurate monitoring of $CO_2$ level in the greenhouse would improve profitability and reduce environmental impact, through optimum control of greenhouse $CO_2$ enrichment and efficient crop production, as compared with the conventional management practices without monitoring and control of $CO_2$ level. In this study, a mathematical model was developed to estimate the $CO_2$ emission from soil as affected by environmental factors in greenhouses. Among various model types evaluated, a linear regression model provided the best coefficient of determination. Selected predictor variables were solar radiation and relative humidity and exponential transformation of both. As a response variable in the model, the difference between $CO_2$ concentrations at the soil surface and 5-cm depth showed are latively strong relationship with the predictor variables. Segmented regression analysis showed that better models were obtained when the entire daily dataset was divided into segments of shorter time ranges, and best models were obtained for segmented data where more variability in solar radiation and humidity were present (i.e., after sun-rise, before sun-set) than other segments. To consider time delay in the response of $CO_2$ concentration, concept of time lag was implemented in the regression analysis. As a result, there was an improvement in the performance of the models as the coefficients of determination were 0.93 and 0.87 with segmented time frames for sun-rise and sun-set periods, respectively. Validation tests of the models to predict $CO_2$ emission from soil showed that the developed empirical model would be applicable to real-time monitoring and diagnosis of significant factors for $CO_2$ enrichment in a soil-based greenhouse.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.5
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• pp.45-62
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• 2015

Entrepreneurial Orientation (EO hereafter) can be described as firm level entrepreneurial tendencies. Initially Miller(1983) clarifies the construct of EO, and defines an "entrepreneurial firm as one that engages in product marketing innovation, undertakes somewhat risky ventures, and is first to come up with proactive innovations, beating competitors to the punch". After Miller (1983), Covin & Slevin(1989) adopted EO as a uni-dimensional construct, and insisted that these three dimensions can be combined into a single scale. Since Covin & Slevin(1991), researchers including Lumpkin & Dess(1996) have explored the usefulness of EO. However not many attempts have been tried to summarize the results of previous empirical researches, and to suggest future research directions. To examine and find implications, current study classified the effects of EO as 1) main and mediating effects, 2) moderating effect, 3) other effects, and provide theoretical and empirical validation of EO, which suggested by Miller(2011). After analyzing research results published in major international and Korean journals in each research domain, current paper summarizes and evaluates previous research results, and then suggests research directions for the future. In doing so, we hope to provide some theoretical and practical insight for management of small and medium sized firms.

• Geomechanics and Engineering
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• v.35 no.2
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• pp.121-133
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• 2023

The demand for cement and limestone crushed materials has increased many folds due to the tremendous increase in construction activities in Pakistan during the past few decades. The number of cement production industries has increased correspondingly, and so the rock-blasting operations at the limestone quarry sites. However, the safety procedures warranted at these sites for the blast-induced ground vibrations (BIGV) have not been adequately developed and/or implemented. Proper prediction and monitoring of BIGV are necessary to ensure the safety of structures in the vicinity of these quarry sites. In this paper, an attempt has been made to predict BIGV using artificial neural network (ANN) at three selected limestone quarries of Pakistan. The ANN has been developed in Python using Keras with sequential model and dense layers. The hyper parameters and neurons in each of the activation layers has been optimized using randomized and grid search method. The input parameters for the model include distance, a maximum charge per delay (MCPD), depth of hole, burden, spacing, and number of blast holes, whereas, peak particle velocity (PPV) is taken as the only output parameter. A total of 110 blast vibrations datasets were recorded from three different limestone quarries. The dataset has been divided into 85% for neural network training, and 15% for testing of the network. A five-layer ANN is trained with Rectified Linear Unit (ReLU) activation function, Adam optimization algorithm with a learning rate of 0.001, and batch size of 32 with the topology of 6-32-32-256-1. The blast datasets were utilized to compare the performance of ANN, multivariate regression analysis (MVRA), and empirical predictors. The performance was evaluated using the coefficient of determination (R²), mean absolute error (MAE), mean squared error (MSE), mean absolute percentage error (MAPE), and root mean squared error (RMSE)for predicted and measured PPV. To determine the relative influence of each parameter on the PPV, sensitivity analyses were performed for all input parameters. The analyses reveal that ANN performs superior than MVRA and other empirical predictors, andthat83% PPV is affected by distance and MCPD while hole depth, number of blast holes, burden and spacing contribute for the remaining 17%. This research provides valuable insights into improving safety measures and ensuring the structural integrity of buildings near limestone quarry sites.