• Journal of the Korean Institute of Landscape Architecture
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• v.35 no.1 s.120
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• pp.28-35
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• 2007

The purpose of this study is to evaluate the visual preference factors for river scenery, which can vary according to changes in water levels, to estimate the optimal ratio of water surface/river width. Five locations on the Youngsan and Sumjin Rivers were selected as representative samples and field survey data such as channel geometry with water levels were prepared to develop the slide of river scenery, To estimate the level of satisfaction in river scenery, slides of 4 different water levels at each of the representative locations were developed through questionnaire. To analyse the correlation between the visual preference for river scenery and preference factors, a multi regression analysis method was adopted in this study. According to the results of the multi regression analysis, Factor B(Aesthetic factors) have the greatest affect on visual preferences and Factor A(A Feeling of Open space and Physical factors) affect significantly to visual preferences for river scenery. The results of analysis shows that the most preferred W/B ratio varies from 0.5 to 0.7 and this result indicates that many people prefer high levels river flow to maintain a natural and harmonious view of rivers. The results of this study will contribute to the field of river landscape design and river restoration projects in order to maximize the human being's satisfaction as a part of nature.

• Journal of the Korean Geotechnical Society
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• v.38 no.8
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• pp.39-52
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• 2022

Multilayer perceptron neural network was trained to determine the factor of safety and slip surface of the slope. Slope geometry is a simple slope based on Korean design standards, and the case of dry and existing groundwater levels are both considered, and the properties of the soil composing the slope are considered to be sandy soil including fine particles. When curating the data required for model training, slope stability analysis was performed in 42,000 cases using the limit equilibrium method. Steady-state seepage analysis of groundwater was also performed, and the results generated were applied to slope stability analysis. Results show that the multilayer perceptron model can predict the factor of safety and failure arc with high performance when the slope's physical properties data are input. A method for quantitative validation of the model performance is presented.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.1
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• pp.14-24
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• 2011

Though many researchers have interested in the effects of creativity management on the business performance, few have researched the relationship between management execution systems for creativity management and the performance. This paper tried to identify the relationship between management execution systems for creativity management and the performance by using 181 Korean companies' survey data. In this paper, a creative management execution system is modelled by the six criteria that are widely used in the Malcolmn Baldrige National Quality Award, and the performance is measured by a composite variable called by business capability. Through an analysis of survey data using factor analysis and regression analysis, this paper tried to answer two research questions: Firstly, does creative management execution systems have the characteristics of multi-dimensionality? Secondly, does creative management execution systems have an impact on the firm's performance? It was found that a creative management execution system largely consists of two parts, which are called 'system factor' and 'management support factor', and system factors have a more strong impact on the performance. The contribution of this paper is in suggesting that establishing a systematic creative management execution system is required in order to efficiently manage for creativity.

• Korean journal of applied entomology
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• v.35 no.2
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• pp.159-163
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• 1996

The profenofos-resistant P-Pro strain of house fly (Muscn domestica L.) was derived from the pyraclofos-resistant strain by selecting with profenofos for 7 generations. The resistance was shown to be incompletely dominant by the reciprocal crosses between the resistant and susceptible strains. Linkage group analysis for the dominant factor responsible for this resistance was carried out by the F, male-backcross method, using susceptible multi-chromosomal marker strain. The major factors for profenofos resistance were located on the second and the fifth chromosome and the other chromosomes had a little effect on the development of this resistance. The male determining factor (M) was linked to the third chromosome in this strain.

• Journal of the Korean Society for Precision Engineering
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• v.28 no.4
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• pp.482-489
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• 2011

In practical design process, designer needs to find an optimal solution by using full factorial discrete combination, rather than by using optimization algorithm considering continuous design variables. So, ANOVA(Analysis of Variance) based on an orthogonal array, i.e. Taguchi method, has been widely used in most parts of industry area. However, the Taguchi method is limited for the shape optimization by using CAE, because the multi-level and multi-objective optimization can't be carried out simultaneously. In this study, a combined method was proposed taking into account of multi-level computational orthogonal array and TOPSIS(Technique for Order preference by Similarity to Ideal Solution), which is known as a classical method of multiple attribute decision making and enables to solve various decision making or selection problems in an aspect of multi-objective optimization. The proposed method was applied to a case study of the multi-level shape optimization of lower arm used to automobile parts, and the design space was explored via an efficient application of the related CAE tools. The multi-level shape optimization was performed sequentially by applying both of the neural network model generated from seven-level four-factor computational orthogonal array and the TOPSIS. The weight and maximum stress of the lower arm, as the objective functions for the multi-level shape optimization, showed an improvement of 0.07% and 17.89%, respectively. In addition, the number of CAE carried out for the shape optimization was only 55 times in comparison to full factorial method necessary to 2,401 times.

• Science of Emotion and Sensibility
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• v.8 no.4
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• pp.333-344
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• 2005

The sensitivity adjectives on wall paper are collected. With the collected sensitivity adjective, we are going to develop the model which can recommend the wallpaper to customer. A large number of adjectives describing affective responses were collected from such diverse sources as questionnaire survey results, field survey results and internet survey result. To search the representative adjective of collected adjective, we used the diverse statistical analysis method. We attempted to decide the axis name of dimension through the MDS(Multi-Dimensional Scale) analysis method using the similarity matrix an4 to find a three or four reduced factors through the factor analysis method using the varimax rotation method. The result of the analysis showed that the reduced factors could account about $82\%$ when the number of factor is three(popular, elegance, and passable) ant about $93\%$ when the number of factor is four (elegance, passable, beautiful, and affectionate) On the basis of this result, we expect it can be used to develop the model recommending the wallpaper.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.11
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• pp.6267-6271
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• 2013

Objective: To determine clinical efficacy, safety and prognostic factors of pemetrexed plus platinum as first-line treatment in patients with advanced non-small cell lung cancer (NSCLC). Materials and Methods: Clinical characteristics, short-term efficacy, survival and adverse reactions of 47 advanced non-squamous NSCLC patients who had received pemetrexed plus platinum as first-line treatment in Shanghai Pulmonary Hospital from January 2009 to June 2011 were retrospectively analyzed. The Chi-squared test was applied to statistically analyze the overall response rate (ORR), disease control rate (DCR) and toxicity reactions in both groups, while survival data wereanalyzed by Kaplan-Meier and logrank methods, and the COX proportional hazards model was adopted for a series of multi-factor analyses. Results: Only two patients were lost to follow-up. The ORR, DCR, medium progression-free survival time (PFS) and medium overall survival (OS) were 31.9%, 74.5%, 5 months and 15.2 months, while 1- and 2-year survival rates were 63.8% (30/47) and 19.2% (9/47), respectively. Single-factor analysis showed that tumor pathological patterns and efficacy were in association with medium PFS (P<0.05), whereas tumor pathological patterns, smoking history and efficacy were closely connected with medium OS (P<0.05). Multi-factor analyses demonstrated that pathological patterns and efficacy were independent factors influencing OS (P<0.05). The rate of toxicity reactions in degree III/IV was low, including hematologic toxicity marked by decline in white blood cell count and decrease in the platelet count (PLT), and non-hematologic toxicity manifested by gastrointestinal reactions, such as nausea and vomiting. Conclusions: Pemetrexed plus platinum as first-line treatment has excellent efficacy and slight adverse reactions with favorable drug-tolerance in patients with advanced non-squamous NSCLC.

• Journal of Biomedical Engineering Research
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• v.31 no.5
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• pp.375-384
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• 2010

The purpose of this study is to determine whether there is a correlation between the segmental bio-impedance measurement with the frequency modulations and the life-style disease of obesity. An obesity is not simply the factor for estimating the life-style disease of obesity, but also the risk factor occurring. There are many methods (BMI, WHR, Waist, CT, DEXA, BIA, etc.) for measuring a degree of obesity; the bio-impedance measurement is more economic and more effective than others. The physical examination, the blood test, the medical imaging diagnosis and the bio-impedancemeasurementswithmultiple frequencies for each body parts have been conducted for 77 people. The estimated value has been calculated through a segmental bio-impedance model based on multi-frequency that was created to reflect the highest correlation by analyzing correlation with linear regression analysis method for the measured bio-impedance and the risk factors. Then we compared with the clinical diagnosis. In case of high level cholesterol, low HDL-C and high LDL-C for life-style disease, the sensitivity is 80~100%and the specificity is 83~100%. This study has shown conclusively that bio-impedance can be a possible predictor to analyze the disease risk rate of population and individual health maintenance. And also the multi-frequency segmental bio-impedance can be used as early predictor to estimate the life-style disease of obesity.

• Journal of the Korean Institute of Telematics and Electronics
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• v.15 no.4
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• pp.14-19
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• 1978

Here a method is shown to extract features from two multi-variable classes by using the coordinate systems transformed by one-class and mixture normalization algorithms. Some properties and implemented results of this technique are described. Also, comparision of these features with factor analysis results is performed. This method is thought to be more powerful one, in feature extraction sense, than factor analysis.

• Journal of Information Technology Applications and Management
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• v.19 no.4
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• pp.19-39
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• 2012

Korean core banking system has been redeveloped twice in the last 30 years with big-bang method, but still needs innovation to meet everlasting business changes. The objective of this study is to identify which decision criteria lead to replacement decision of core baning system in spite of its huge investment and accompanying business risk. For the study, we conducted a survey to 64 decision makers working in banks and IT service companies, and analysed the data using factor analysis and multi-regression analysis method of SPSS. As a result, we extracted statistically valid decision model with 4 major decision criteria, which are IT external, IT internal, IT ecology and Executive's will factor. Among them, we concluded only IT internal and IT ecology criteria give significant influence over the replacement decision of existing core banking system.