• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.168.1-168
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• 2001

This article describes a novel model-based compensating neural network (NN) model developed to be used in our active binocular head controller, which addresses both the kinematics and dynamics aspects in trying to precisely track a moving object of interest to keep it in view. The compensating NN model is constructed using two classes of self-tuning neural models: namely Neural Gas (NG) algorithm and SoftMax function networks. The resultant servo controller is shown to be able to handle the tracking problem with a minimum knowledge of the dynamic aspects of the system.

• Computers and Concrete
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• v.17 no.5
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• pp.629-638
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• 2016

Optimization of the concrete mixture design is a process of search for a mixture for which the sum of the cost of the ingredients is the lowest, yet satisfying the required performance of concrete. In this study, a statistical model was carried out to model a cost effective optimal mix proportioning of high strength self-compacting concrete (HSSCC) using the Response Surface Methodology (RSM). The effect of five key mixture parameters such as water-binder ratio, cement content, fine aggregate percentage, fly ash content and superplasticizer content on the properties and performance of HSSCC like compressive strength, passing ability, segregation resistance and manufacturing cost were investigated. To demonstrate the responses of model in quadratic manner Central Composite Design (CCD) was chosen. The statistical model showed the adjusted correlation coefficient R2adj values were 92.55%, 93.49%, 92.33%, and 100% for each performance which establish the adequacy of the model. The optimum combination was determined to be $439.4kg/m^3$ cement content, 35.5% W/B ratio, 50.0% fine aggregate, $49.85kg/m^3$ fly ash, and $7.76kg/m^3$ superplasticizer within the interest region using desirability function. Finally, it is concluded that multiobjective optimization method based on desirability function of the proposed response model offers an efficient approach regarding the HSSCC mixture optimization.

• Cross-Cultural Studies
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• v.35
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• pp.79-95
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• 2014

This article aims at rethinking on people of Modern styles in early modern period with reference to A Large River[Dae-Ha] written by Kim Nam-cheon at 1939. Park Sung-guoen could be called to Homo Economicus, first, have maximized of self-interest in rapid changes of Korea society with loan sharking, rising to upper class in new early modern era instead of traditional nobleman. Park Hyung-geol could be said romantic guy, second, have chased romatic love consist of three elements(love-sex-marriage). But he troubled his love affairs to his family members frustrated his will because of a bastard son. It is the model of situations, Kim Nan-cheon intended to describe, that Homo Economicus became an object of envy among people in early modern society as well as the choice has been hard in conflicting between family and lover, concretizing anachronism through history of family.

• Journal of Korean Society of Rural Planning
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• v.18 no.4
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• pp.117-127
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• 2012

The demand of rural tourism industry has increased among the urbanites in South Korea, in due to the increase of leisure activity and the emergence of ageing society. Rural amenity resources are gaining various interests, in the value creation and promotion of tourism. In this study, the propensities of city dwellers were separated by life-style classification, and each affinity to the rural amenity resources was examined in accordance with the separation. A questionnaire survey of urbanites in the southern area of Gyeonggi-do, the most populous province in South Korea, was conducted to analyze the preference of city dwellers about rural amenity resource and life-style of themselves. For statistical verification, $IBM^{(R)}$ $SPSS^{(R)}$ Statistics 20 software was used for frequency, reliability, factor and multiple regression analysis of this research. The results of the statistical analyses found a noticeable characteristic in life-style classification. The affinities of urbanites can be classified into four congregations of life-style factors in this statistical model. Each congregation of the factors was named as 'Self-development-oriented', 'Leisure-oriented', 'Achievement-oriented', and 'Culture-oriented' life-style, to represent the characteristics for convenience' sake. Among these styles, only 'Self-development-oriented' and 'Achievement-oriented' showed the positive correlation with rural amenity resources in the multiple regression analysis. In addition, the rural amenity resources were also analyzed in accordance with the life-styles classification of urbanites. City dwellers showed the highest interest to the 'natural resource management facility resource' in natural resources, the 'traditional heritage resource' in cultural resources, and the 'community resource' in social resources. Meanwhile, they showed less interest to 'agricultural and scenery resources' in natural resources, 'specialty production resource' in cultural resources, and 'cooperative farming' in social resources. These characteristics can be constructed as meaning that the urbanites who concern self-development and achievement of their lives have high interest in rural amenity resources, and the main interest of them is not 'return-to-the-farm'(歸農) but 'return-to-the-home'(歸村).

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.5
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• pp.203-208
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• 2023

Recently, with the growing interest in the field of autonomous driving, many researchers have been focusing on developing autonomous driving software platforms. In particular, we have concentrated on developing 3D object detection models that can improve real-time performance. In this paper, we introduce a self-constructed 3D LiDAR dataset specific to domestic environments and propose a VariFocal-based CenterPoint for the 3D object detection model, with improved performance over the previous models. Furthermore, we present experimental results comparing the performance of the 3D object detection modules using our self-built and public dataset. As the results show, our model, which was trained on a large amount of self-constructed dataset, successfully solves the issue of failing to detect large vehicles and small objects such as motorcycles and pedestrians, which the previous models had difficulty detecting. Consequently, the proposed model shows a performance improvement of about 1.0 mAP over the previous model.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.467-474
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• 2013

Construction contactors must continuously seek to improve their cash flows, which reside at the heart of their financial success. They require careful planning, analysis, and optimization to avoid the risk of bankruptcy, remain profitable, and secure long-term growth. Sources of cash include bank loans and retained earnings, which are conceptually similar in that they both incur a cost of capital. Financial management therefore requires accurate yet customizable modeling capabilities that can quantify all expenses, including said cost of capital. However, currently existing cash flow models in construction engineering and management have strongly simplified the manner in which interest is assessed, which may even lead to overstating it at a disadvantage to contractors. The variable nature of cash balances, especially in the early phases of construction projects, contribute to this challenging issue. This research therefore extends a new cash flow model with an accurate interest calculation. It utilizes singularity functions, so called because of their ability to flexibly model changes across any number of different ranges. The interest function is continuous for activity costs of any duration and allows the realistic case that activities may begin between integer time periods, which are often calendar months. Such fractional interest calculation has hitherto been lacking from the literature. It also provides insights into the self-referential behavior of compound interest for variable cash balances. The contribution of this study is twofold; augmenting the corpus of financial analysis theory with a new interest formula, whose strengths include its generic nature and that it can be evaluated at any fractional value of time, and providing construction managers with a tool to help improve and fine-tune the financial performance of their projects.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.1
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• pp.85-94
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• 2010

One of the most significant changes is the paradigm shift from teacher-centered learning to learner-centered learning. Along with this paradigm shift, understanding of characteristics of e-learners who are both system users and learners is needed. Before suggesting a comprehensive framework, this study proposes research model that can improve a learning performance using the flow theory. The results show that intrinsic interest and focused attention are significant predictors of learning performance. Especially, intrinsic interest is more important on learning performance than focused attention. Information quality and skill are found to be strong predictors of the intrinsic interest. Also, perceived ease of use, skill and computer self-efficacy are strong predictors of the focused attention.

• Journal of the Korea Society of Computer and Information
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• v.24 no.6
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• pp.117-124
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• 2019

In the field of dance creation, the use of film and television skills, cyberspace, action sets, computer graphics and other technology and media technology have made the creative environment for dance art that it rapidly improves and presents a new situation. Especially in the dance creation part, VR technology can show many possibilities and can be used as a tool to fully satisfy the choreographer's intention and imagination. Therefore, this study analyzes the acceptance model of virtual reality technology in dance creative education, and we will examine the effect of social influence, shared trust, innovation, interest, and self-efficacy on perceived usefulness and perceived ease. Second, we will examine the effect of perceived usefulness and perceived ease on intention to use. The study is targeted at ordinary dance creators who currently reside in Hebei Province, China. The survey was conducted for approximately 30 days from March 16th to April 17th. The total number of valid samples collected was 377. The results of the identification of the hypotheses between variables based on the questionnaire data are as follows: Firstly, social influence, shared trust, innovation, interest, and self-efficacy have a positive impact on perceived usefulness, perceived ease. Secondly, perceived usefulness, perceived ease has a positive effect on the intention to use. In view of the above research results, the theoretical significance and limitations of this research and the future research directions are discussed in depth.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.2
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• pp.167-179
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• 2015

Recently the small and medium sized companies are more difficult to find people than large companies. So it is natural that having a great interest in leadership and its effects in organizations. This study examines how transformational leaders influence on empowerment, self-efficacy and job satisfaction in IT company. Investigating the effect between transformational leadership and job satisfaction in IT company may also be a tip of an understanding of how to manage employee turnover. Samples of 387 employees in IT companies were analyzed by structural equation modeling using Lisrel 8.7 and it showed acceptable data-fit of proposed model and supported all of research hypotheses. The empirical results indicated that transformational leadership significantly influences empowerment, self-efficacy and job satisfaction and also it confirmed that empowerment and self-efficacy are effective mediators linking job satisfaction. That is the findings reveal that transformational leaders boost employee's job satisfaction indirectly.

• Journal of vocational education research
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• v.35 no.4
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• pp.109-129
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• 2016

Korea has recently invested much of its effort in fostering talents in scientific fields to establish a foundation for sustainable future growth. From this perspective, the ministry of education has come up with a special rule aimed at achieving the substantiality of engineering schools in universities. The ministry has been providing educational support by providing a tech-innovation center, industry-oriented education, and policies such as PRIME. Despite this support, most students in the natural science field end up being hired in fields not related to their majors. There has been a growing opinion regarding the need for career education for these students. In this research, based on a social cognitive career theory (SCCT) model that provides a comprehensive understanding of career development, this research would like to practically examine the relationship among college students' career preparation behaviors and influencing variables, such as grit, career decision-making self-efficacy, outcome expectation, and major interest. Data from 153 natural-science majors at A college in Korea were collected and analyzed using path analysis. The result was that the data strongly supported the model explaining the relationship between career preparation behaviors and influencing variables. Based on this result, we propose that career education that can promote grit, career decision-making self-efficacy, outcome expectation, and major interest is required to encourage students in the field of the natural sciences to pursue career preparation behaviors related to their majors.