• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.343-353
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• 2015

The purpose of this study includes: Firstly, to examine the effects of corporate entrepreneurship on market orientation, radical innovation, and organizational performance. Secondly, to examine the mediating effect of the market orientation, radical innovation on the relationship between corporate entrepreneurship and organizational performance. In order to verify the relationships and mediating effect, data were collected from convenient sample of 269 employees at small and medium enterprises in Busan, Ulsan, Gyeongju city to test theoretical model and its hypotheses. All data collected from the survey were analyzed using with SPSS 18.0 and AMOS 18.0. This study reports findings as followed: first, the relationship between the corporate entrepreneurship and the market orientation is positively related. Second, there was also a positive correlation between the corporate entrepreneurship and the radical innovation. Third, there was also a positive correlation between the market orientation and the radical innovation. Fourth, the relationship between the market orientation and the organizational performance is positively related. Fifth, there was also a positive correlation between the corporate entrepreneurship and the organizational performance. Sixth, there was also a positive correlation between the radical innovation and the organizational performance. Finally, the market orientation played as a partial mediator on the relationship between corporate entrepreneurship and radical innovation. The market orientation and radical innovation played as a partial mediator on the relationship between corporate entrepreneurship and organizational performance. Also, the radical innovation played as a partial mediator on the relationship between market orientation and organizational performance. Based on these findings, the limitations of the study and some directions for future studies were presented.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.85-94
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• 2021

In this study, the effects of infection control health beliefs and critical thinking tendencies of nursing students on infection control standards were investigated. This study collected and analyzed the data of 222 nursing students from the College of Nursing located in City A from June 2021 to July 2021. Data were collected according to IRB-approved contents, and the collected data were analyzed using the SPSS 26.0 Statistics Program. The infection control health beliefs and critical thinking tendencies of nursing students affect the performance of standard infection control precautions(F=16.634, p<.001), and the explanatory power of the model was 22.0%. It is necessary to develop a nursing education program to improve health beliefs and critical thinking disposition and systematic and efficient infection control education to improve the performance of standard precautions for infection control of nursing students.

• Journal of Korean Academy of Nursing
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• v.49 no.2
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• pp.137-148
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• 2019

Purpose: This study aimed to investigate the effects of a reinforcement program for behavioral skills in postpartum care for couples with their first baby. Methods: The study used a non-equivalent control group and pretest-posttest design. It was conducted from January 14 to April 10, 2016 at a postpartum care center in D city. It analyzed 43 couples (22 in the experimental group and 21 in the control group.) For data analysis, descriptive statistics, test of homogeneity in pretest, independent t-tests, and repeated measures ANOVA were used. Results: For maternal fulfillment of postpartum care and postpartum fatigue, there was no significant difference in the interaction between group and time. In terms of parent-newborns attachment, the interaction between group and time showed a significant difference for mothers (F=13.63, p=.001) and fathers (F=6.51, p=.001). In marital intimacy, the interaction between group and time showed a significant difference for mothers (F=14.40, p<.001) and fathers (F=9.46, p=.004). In parenting stress, the interaction between group and time showed a significant difference for mothers (F=31.8, p<.001) and fathers (F=11.69, p=.001). A significant difference was found for the mothers' postpartum sleeping hours (F=0.14 p=.004). Conclusion: This program for behavioral skills in postpartum care, which is based on the information-motivation-behavioral skills model, improves postpartum care, parent-newborn attachment, marital intimacy, parenting stress, and maternal postpartum sleeping, by reinforcing behavioral skills required for postpartum care.

• Korean Journal of Remote Sensing
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• v.38 no.5_3
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• pp.887-899
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• 2022

Drought caused by meteorological factors negatively affects vegetation in terrestrial ecosystems. In this study, the state in which meteorological drought affects vegetation was defined as the ecological drought of vegetation, and the ecological drought condition index of vegetation (EDCI-veg) was proposed to quantitatively monitor the degree of impact. EDCI-veg is derived from a copula-based bi-variate joint probability model between vegetation and meteorological drought information, and can be expressed numerically how affected the current vegetation condition was by the drought when the drought occurred. Comparing past meteorological drought events with their corresponding vegetation condition, the proposed index was examined, and it was confirmed that EDCI-veg could properly monitor the ecological drought of vegetation. In addition, it was possible to spatially identify ecological drought conditions by creating a high-resolution drought map using remote sensing data.

• Advances in nano research
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• v.12 no.2
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• pp.185-195
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• 2022

Deep learning is another field of artificial intelligence (AI) utilized for computer aided diagnosis (CAD) and image processing in scientific research. Considering numerous mechanical repetitive tasks, reading image slices need time and improper with geographical limits, so the counting of image information is hard due to its strong subjectivity that raise the error ratio in misdiagnosis. Regarding the highest mortality rate of Lung cancer, there is a need for biopsy for determining its class for additional treatment. Deep learning has recently given strong tools in diagnose of lung cancer and making therapeutic regimen. However, identifying the pathological lung cancer's class by CT images in beginning phase because of the absence of powerful AI models and public training data set is difficult. Convolutional Neural Network (CNN) was proposed with its essential function in recognizing the pathological CT images. 472 patients subjected to staging FDG-PET/CT were selected in 2 months prior to surgery or biopsy. CNN was developed and showed the accuracy of 87%, 69%, and 69% in training, validation, and test sets, respectively, for T1-T2 and T3-T4 lung cancer classification. Subsequently, CNN (or deep learning) could improve the CT images' data set, indicating that the application of classifiers is adequate to accomplish better exactness in distinguishing pathological CT images that performs better than few deep learning models, such as ResNet-34, Alex Net, and Dense Net with or without Soft max weights.

• Steel and Composite Structures
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• v.47 no.2
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• pp.147-165
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• 2023

The paper contrasts conventional seismic design with a design that incorporates buckling-restrained bracing in three-dimensional reinforced concrete buildings (BRBs). The suboptimal structures may be found using the multi-objective chimp optimization algorithm (MEN-ChOA). Given the constraints and dimensions, ChOA suffers from a slow convergence rate and tends to become stuck in local minima. Therefore, the ChOA is improved by niching and evolutionary operators to overcome the aforementioned problems. In addition, a new technique is presented to compute seismic and dead loads that include all of a structure's parts in an algorithm for three-dimensional frame design rather than only using structural elements. The performance of the constructed multi-objective model is evaluated using 12 standard multi-objective benchmarks proposed in IEEE congress on evolutionary computation. Second, MEN-ChOA is employed in constructing several reinforced concrete structures by the Mexico City building code. The variety of Pareto optimum fronts of these criteria enables a thorough performance examination of the MEN-ChOA. The results also reveal that BRB frames with comparable structural performance to conventional moment-resistant reinforced concrete framed buildings are more cost-effective when reinforced concrete building height rises. Structural performance and building cost may improve by using a nature-inspired strategy based on MEN-ChOA in structural design work.

• Journal of Cadastre & Land InformatiX
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• v.53 no.1
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• pp.21-36
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• 2023

Activity-based modeling systems have increasingly been developed to address the limitations of widely used traditional four-step transportation demand forecasting models. Accordingly, this paper introduces the Activity-BAsed Traveler Analyzer (ABATA) system. This system consists of multiple components, including an hourly total population estimator, activity profile constructor, hourly activity population estimator, spatial activity population estimator, and origin/destination estimator. To demonstrate the proposed system, the emission impact of land use changes in the 5-1 block Sejong smart city is evaluated as a case study. The results indicate that the land use with the scenario of work facility dispersed plan produced more emissions than the scenario of work facility centralized plan due to the longer travel distance. The proposed ABATA system is expected to provide a valuable tool for simulating the impacts of future changes in population, activity schedules, and land use on activity populations and travel demands.

• 대한공업교육학회지
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• v.44 no.2
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• pp.104-122
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• 2019

In the era of the fourth industrial revolution, maker education is drawing attention as a method of student-led education. At a time when interest in maker education is also growing in technology education, figuring out what stage of concern(SoC) a middle school technology teacher is critical to effective implementation. This study analyzed SoC in maker education by layer sampling among 400 middle school technology teachers using Concerns-based adoption model. SoC was then obtained by measuring the origin using the SoCQ and then presenting it as a SOCQ profile. Gender, training experience with two lower variables were analyzed using t verification, working cities, teaching experience with more than three lower variables were analyzed using one-way ANOVA. Studies showed that SoC in maker education of middle school technology teachers showed the most similar characteristics to that of non-users. The difference in concern depending on gender was that male teachers were more concerned in maker education than female teachers. The difference in concern depending on the working city was that teachers working in the township were more concerned in the maker education than teachers working in the large city, and the difference in concern depending on the teaching career was higher among teachers with middle experience than those with low and high experience. There was also a higher stage of concern in maker education than in teachers without training experience. Therefore, it is necessary to provide middle school technology teachers with an introduction to the maker education and various information, teaching, learning and evaluation data to enhance overall concern and to support the use and evaluation of the maker education in the classroom by providing various teacher training and consulting on the maker education in the future. Further, through further study, we should conduct study that analyzes both Stage of Concern, Level of Use and Innovation Configuration, to put in the effort for effective settlement of maker education.

• The Journal of Korean Society for School & Community Health Education
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• v.1 no.1
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• pp.95-106
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• 2000

The purpose of this study was to be of use for the preparation of more desirable sex education system at elementary school, by making content analysis of the current textbooks related to sex education and surveying what opinions the persons concerned had about it. The purpose of this study were as follows; Elementary school textbooks were analyzed to find out what kind of sex education was included in them. And questionnaires on how to improve school sex education content were prepared, by which 207 male and female teachers were surveyed in the city of Paju and Koyang, Kyonggi province. The conclusions were as follows; 1. Content Analysis of Textbook Sex Education The content related to sex education was relatively much included in textbooks of the right life, morality and physical education. Although morality was a subject to be instructed for the third-grade students or older, elementary school students virtually received sex education from the first grade, as the right life and the joyful life were a subject for the lower-grade students, and this met the goal of sex education or the need of the times. However, sex education content leaned heavily toward family, family life or parental love. There was no mutual complement among subjects, and no link among grades, either. 2. Teacher Opinion on Sex Education Content for Each Grade When the subjects were asked about if sex education content was appropriate for each grade, they answered 20 items should be more emphasized and 6 items might be left out. And there were 6 items regarded by them as one that should be rearranged in consideration of grade. 3. The Ideal Opinion of Sex Education Content The following model could be recommended for elementary school sex education, which was designed to meet the objectives of school sex education as much as possible and to offer a systematic link among grades, based on the findings by textbook analysis and Questionnaire survey, and on elementary school sex education materials recommended by the Ministry of Education: The content selected for the first grade of elementary school was my body, cleanness of genitals, male-female cooperation, and family cooperation. For the second grade, the selected content was male-female physical difference, male female psychological difference, parental and I(origin of a birth). For the third grade, the selected things were important a body(cleanness of genitals), birth of a life, and male-female comprehension and cooperation. For the fourth grade, the selected things were physical development, management of genitals, physiology and management of menstruation, propagation and growth of organism, concern for the other sex, comprehension of and cooperation with the other sex, and prevention of sexual violence. Four the fifth grade, the selected things were secondary sex characteristic, physiology and management of menstruation, operation for phimosis, understanding of seminal emission, structure and function of the genital organs, birth and growth of a baby, television/sex information, and mass communications/sex information. For the sixth grade, the selected things were secondary sex characteristic, understanding of seminal emission, male-female cooperation, male and female role, male-female manners, mass communications/sex information, family and family life. Finally, what should be taught in sex education must be studied constantly, as it should be revised or supplemented periodically, according to student's sexual maturity or social, cultural changes.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.6
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• pp.132-142
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• 2014

In this paper, we propose a traffic lights detection method using visual attention and spot-lights detection. To detect traffic lights in city streets at day and night time, the proposed method is used the structural form of a traffic lights such as colors, intensity, shape, textures. In general, traffic lights are installed at a position to increase the visibility of the drivers. The proposed method detects the candidate traffic lights regions using the top-down visual saliency model and spot-lights detect models. The visual saliency and spot-lights regions are positions of its difference from the neighboring locations in multiple features and multiple scales. For detecting traffic lights, by not using a color thresholding method, the proposed method can be applied to urban environments of variety changes in illumination and night times.