• The Bulletin of The Korean Astronomical Society
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• v.39 no.2
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• pp.107.1-107.1
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• 2014

We apply a machine learning algorithm, artificial neural network, to the search for gravitational-wave signals associated with short gamma-ray bursts. The multi-dimensional samples consisting of data corresponding to the statistical and physical quantities from the coherent search pipeline are fed into the artificial neural network to distinguish simulated gravitational-wave signals from background noise artifacts. Our result shows that the data classification efficiency at a fixed false alarm probability is improved by the artificial neural network in comparison to the conventional detection statistic. Therefore, this algorithm increases the distance at which a gravitational-wave signal could be observed in coincidence with a gamma-ray burst. We also evaluate the gravitational-wave data within a few seconds of the selected short gamma-ray bursts' event times using the trained networks and obtain the false alarm probability. We suggest that artificial neural network can be a complementary method to the conventional detection statistic for identifying gravitational-wave signals related to the short gamma-ray bursts.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.1
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• pp.78-86
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• 2014

This paper proposes a method of tracking an object for a person-following mobile robot by combining a monocular camera and a laser scanner, where each sensor can supplement the weaknesses of the other sensor. For human-robot interaction, a mobile robot needs to maintain a distance between a moving person and itself. Maintaining distance consists of two parts: object tracking and person-following. Object tracking consists of particle filtering and online learning using shape features which are extracted from an image. A monocular camera easily fails to track a person due to a narrow field-of-view and influence of illumination changes, and has therefore been used together with a laser scanner. After constructing the geometric relation between the differently oriented sensors, the proposed method demonstrates its robustness in tracking and following a person with a success rate of 94.7% in indoor environments with varying lighting conditions and even when a moving object is located between the robot and the person.

• The Journal of Industrial Distribution & Business
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• v.7 no.4
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• pp.11-16
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• 2016

Purpose - There are numerous theories for retail trade area analysis which are designed to select candidate locations for new stores. In this study, comparative analysis on the characteristics from those of the theories are shown, and the explanation for the power in consumers' store-choice behaviors and their limitations are examined. Also, plans for improving commercial sphere analysis are explored. Research design, data, and methodology - This study is based on literature reviews with normative research methodology. Among many researches regarding the analysis on the location and commercial sphere for launching a new store, researches relying on statistics are excluded in this study since they belong to the marketing research area,. Results - In the Law of retail gravitation, Huff's model multinomial logit model and etc. are mutual complementary mathematical techniques for analyzing commercial spheres and each of them has its own characteristics. These theories rely on the same hypothesis in which consumers are all believed to be behaving rationally under a similar behavioral system. However, the trial in explaining or estimating behavior of choosing a store with only a select size of the population that is objectively estimated by some major properties has limits in its credibility. Conclusion - Research on consumer's spatial behaviors can be fully illustrative and explainable when it has both quantitative approaches such as 'law of retail gravitation', 'logit model' and etc., and qualitative approaches like consumer's 'cognitive structure', 'learning status', 'image formation', 'attitude' and etc.

• Journal of Elementary Mathematics Education in Korea
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• v.17 no.3
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• pp.431-455
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• 2013

In this thesis, I classified various meanings of fraction into two categories, i.e concept(rate, operator, division) and model(whole-part, measurement, allotment), and surveyed appearances which is shown in Korea elementary mathematics textbook. Based on this results, I derived several implications on learning-teaching of fraction in elementary education. Firstly, we have to pursuit a unified formation of fraction concept through a complementary advantage of various concepts and models Secondly, by clarifying the time which concepts and models of fraction are imported, we have to overcome a ambiguity or tacit usage of that. Thirdly, the present Korea's textbook need to be improved in usage of measurement model. It must be defined more explicitly and must be used in explanation of multiplication and division algorithm of fraction.

• Journal of vocational education research
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• v.33 no.3
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• pp.1-17
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• 2014

The purposes of this research are to analysis and diagnosis the actual condition of vocational ability development training for juveniles delinquent occupational capability development of juveniles who are assorted as a socially disadvantaged group and to suggest the remedies for their successful return to normal social life. In order to accomplish these purpose of the research, we involved in vocational training teachers(23) and trained for more a month to juvenile delinquents(533) such as surveys. Both of them focused on improvement of strengthen for vocational training, complementary learning of juvenile delinquents and securing experts.

• Journal of Korean Elementary Science Education
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• v.38 no.3
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• pp.395-405
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• 2019

The purpose of this study is to analyze the process of creative science problem solving (CSPS) in elementary school students. To do this, 6 graders (n=9) at a elementary school in Seoul were participated. In this study, fixed eye-tracker with 250 Hz sampling and observation camera were used. The results of this study, the students with higher ability to solve creative science problems had a slower saccade, and had more visual attention on core clues and a greater number of eye changes. Therefore, students with higher ability to solve creative science problems showed more effective eye movement and faster information processing to solve problems. The CSPS types of elementary students were classified as 'declarative knowledge type', 'procedural knowledge type', 'conditional knowledge type', 'knowledge lack type'. Because each type appears to be complementary, CSPS process for elementary students who have integrated the four types was devised. The results of this study can be used as basic data for understanding elementary school students' CSPS and will help to develop and guide creative science teaching and learning programs useful to elementary school students and science gifted students.

• KEPCO Journal on Electric Power and Energy
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• v.4 no.2
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• pp.89-99
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• 2018

Downtime and malfunction of industrial rotor machines represents a crucial cost burden and productivity loss. Fault diagnosis of this equipment has recently been carried out to detect their fault(s) and cause(s) by using fault classification methods. However, these methods are of limited use in detecting rotor faults because of their hypersensitivity to unexpected and different equipment conditions individually. These limitations tend to affect the accuracy of fault classification since fault-related features calculated from vibration signal are moved to other regions or changed. To improve the limited diagnosis accuracy of existing methods, we propose a new approach for fault diagnosis of rotor machines based on the model generated by supervised learning. Our work is based on feature residual values from vibration signals as fault indices. Our diagnostic model is a robust and flexible process that, once learned from historical data only one time, allows it to apply to different target systems without optimization of algorithms. The performance of the proposed method was evaluated by comparing its results with conventional methods for fault diagnosis of rotor machines. The experimental results show that the proposed method can be used to achieve better fault diagnosis, even when applied to systems with different normal-state signals, scales, and structures, without tuning or the use of a complementary algorithm. The effectiveness of the method was assessed by simulation using various rotor machine models.

• Computers and Concrete
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• v.29 no.6
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• pp.433-444
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• 2022

Concrete's compressive strength is widely studied in order to understand many qualities and the grade of the concrete mixture. Conventional civil engineering tests involve time and resources consuming laboratory operations which results in the deterioration of concrete samples. Proposing efficient non-destructive models for the prediction of concrete compressive strength will certainly yield advancements in concrete studies. In this study, the efficiency of using radial basis function neural network (RBFNN) which is not common in this field, is studied for the concrete compressive strength prediction. Complementary studies with back propagation neural network (BPNN), which is commonly used in this field, have also been carried out in order to verify the efficiency of RBFNN for compressive strength prediction. A total of 13 input parameters, including novel ones such as cement's and fly ash's compositional information, have been employed in the prediction models with RBFNN and BPNN since all these parameters are known to influence concrete strength. Three different train: test ratios were tested with both models, while different hidden neurons, epochs, and spread values were introduced to determine the optimum parameters for yielding the best prediction results. Prediction results obtained by RBFNN are observed to yield satisfactory high correlation coefficients and satisfactory low mean square error values when compared to the results in the previous studies, indicating the efficiency of the proposed model.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.33 no.2
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• pp.41-47
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• 2022

Objectives: Humans experience the process of separating-individuating themselves from an object via the conflict between dependence and independence within the self. The separation-individuation theory focuses on the psychological process of individualizing oneself. Although adolescents' individuation from their parents is based on intrapsychic events, there is an increasing need for an intersubjective understanding of it. We applied intersubjectivity to adolescents and parents to interpret and find solutions for problems arising during their individuation process. Methods: This study retrospectively reviewed a case of a son and his father treated by the author. From the study subject, contents that represent adolescents and parents' interaction and separation in the individualization process were extracted and analyzed, and their experiences shared in this process were reconstructed from the therapist's perspective. Results: From the case involving an adolescent boy with conduct problems and his interactions with his father, the authors observed the phenomenon of intersubjectivity and proposed the concept of "synchronized individuation" between adolescents and parents. As adolescents rapidly grow and change, they experience various dynamic interactions with their parents. Through learning to tolerate the conflicts and ambivalent tension inherent in this individuation process, adolescents and their parents develop their new identity. Conclusion: "Synchronized individuation" should be understood as complementary to, rather than exclusive from, the existing concept of the separation and individuation. It offers a new paradigm with which to understand adolescent-parent conflicts in the process of separation-individuation.

• Journal of Digestive Cancer Research
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• v.5 no.1
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• pp.37-43
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• 2017

Laparoscopic cholecystectomy is of one the most common general surgical operations performed today. Concomitant choledocholithiasis occurs in roughly 10-20% of patients with symptomatic gallstones. Laparoscopic bile duct exploration (LBDE) offers a single-stage minimally-invasive solution to the management of choledocholithiasis. LBDE may be performed either via the transcystic route or via laparoscopic choledochotomy. A number of strategies to improve success are available to the surgeon to help in the problem of complicated choledocholithiasis, these range from simple maneuvers to the use of laser or mechanical lithotriptors. With the advances in laparoscopic surgery, it is also possible to handle complex surgical conditions such as Mirizzi syndrome or recurrent pyogenic cholangitis laparoscopically, even though these have yet to be accepted as standard of care. Following laparoscopic choledochotomy, options for closure include: primary closure, closure over a T-tube, and closure over an endobiliary stent. T-tube placement has been associated with increased operating time and hospital length of stay compared to primary closure, with no significant differences in morbidity. Based on the available literature, LBDE appears comparable to ERCP with regards to procedural efficacy and morbidity. LBDE remains relevant to the general surgeon and is best viewed as being complementary to endoscopic therapy in the management of choledocholithiasis.