• The KIPS Transactions:PartC
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• v.14C no.1 s.111
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• pp.105-114
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• 2007

In sensor network processing environments, current location tracking methods have problems in accuracy on receiving the transmitted data and pinpointing the exact locations depending on the applied methods, and also have limitations on decision making and monitoring the situations because of the lack of considering context-awareness. In order to overcome such limitations, we proposed a method which utilized context-awareness in a data processing module which tracks a location of the magnetic object(Magnetic Line Tracer) and controlled introspection data based on magnetic sensor. Also, in order to prove its effectiveness we have built a wireless sensor network test-bed and conducted various location tracking experiments of line tracer using the data and resulted in processing of context-aware data. Using the new data, we have analyzed the effectiveness of the proposed method for locating the information database entries and for controlling the route of line tracer depending on context-awareness.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.8
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• pp.199-208
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• 2019

The escape theory is the theory of problem behavior such as suicide. The purpose of this study is to investigate the causes of gaming disorder, which has been attracting attention as a typical youth problem, through escape theory. Suicide theory is a process in which the problem triggered by the negative external environment flows into internal attribution and self-criticism, and this leads to a process leading to problematic behavior with disgust self-awareness. This process was applied to the environment, psychology, and behavior of adolescents. As a result, the lack of affection and consistency of the parents resulted in negative external environment, which affected the self-esteem of children by creating a negative external environment. And low self-esteem caused negative emotions, lowered self control, and confirmed to induce game addiction. The results of this analysis show that game addiction has a structure similar to obsessive behaviors such as binge eating and shopping addiction explained through the escape theory model and it is necessary to concentrate more on the environmental psychological factors for game addiction research.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.482-482
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• 2022

하천의 합류부에서는 수질이 다른 유체가 혼합하여 합류 전과 다른 특성을 보인다. 하천의 합류부에서 수질을 효율적으로 관리하기 위해서는 수질의 공간적인 혼합 특성을 규명하는 것이 중요하다. 합류부에서 수질의 공간적인 혼합 특성을 분석하기 위해 본 연구에서는 토폴로지 데이터 분석(topological data analysis, TDA), 자기 조직화 지도(Self-Organizing Map, SOM), k-평균 알고리즘(K-means clustering algorithm) 세 가지 기법을 이용하였다. 세 가지 기법을 비교하여 어떤 알고리즘이 합류부의 수질 변화 특성을 더 뚜렷하게 나타내는지 분석하였다. 수질 변화 비교 인자들은 pH, chlorophyll, DO, Turbidity 등이 있고, 수질 인자들은 YSI를 활용해 측정하였다. 자료의 측정 지역은 낙동강과 황강이 합류하는 지역이며, 보트에 YSI 장비를 부착하고 횡단하여 측정하였다. 측정한 데이터를 R 프로그램을 통해 세 가지 기법을 적용시켜 수질 변화 비교를 분석한다. 토폴로지 데이터 분석(topological data analysis, TDA)은 거대하고 복잡한 데이터로부터 유의미한 정보를 추출하는 데 사용하고, 자기조직화지도(Self-Organizing Map, SOM) 기법은 차원 축소와 군집화를 동시에 수행한다. k-평균 알고리즘(K-means clustering algorithm) 기법은 주어진 데이터를 k개의 클러스터로 묶는 머신러닝 비지도학습에 속하는 알고리즘이다. 세 가지 방법들의 주목적은 클러스터링이다. 클러스터 분석(Cluster analysis)이란 주어진 데이터들의 특성을 고려해 동일한 성격을 가진 여러 개의 그룹으로 대상을 분류하는 데이터 마이닝의 한 방법이다. 군집화 방법들인 TDA, SOM, K-means를 이용해 합류 지역의 수질 특성들을 클러스터링하여 수질 패턴들을 분석해 하천 수질 오염을 방지할 수 있을 것이다. 본 연구에서는 토폴로지 데이터 분석(topological data analysis, TDA), 자기조직화지도(Self-Organizing Map, SOM), k-평균 알고리즘(K-means clustering algorithm) 세 가지 기법을 이용하여 합류부에서의 수질 특성을 비교하며 어떤 기법이 합류의 특성을 더욱 뚜렷하게 나타내는지 규명했다. 합류의 특성을 군집화 방법을 이용해 알게 된다면, 합류부의 수질 변화 패턴을 다른 합류 지역에서도 적용할 수 있을 것으로 기대된다.

• Journal of The Korean Association of Information Education
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• v.20 no.1
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• pp.57-68
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• 2016

The purpose of this study is to examine factors affecting flipped learning outcomes. For this study, 44 middle school students participated in flipped learning activities during science classes. After 5 week of classes, they responded the following surveys: intrinsic motivation, self-regulation, interest in class, interest in science, and learning achievement. Multiple regression analyses with correlation applied to this study as data analysis methods. The results showed that intrinsic motivation significantly predicted interest in class and interest in science. In addition, self-regulation significantly predicted learning achievement. Therefore, these findings imply that intrinsic motivation and self-regulation should be considered for designing flipped learning activities in middle school science classes.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.1014-1023
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• 2013

Rapid developments of Information and Communication Technologies(ICT) have made people learn with online contents allowing learning at onilne universities. The environments of offering educational contents at online universities differ from those at offline-based ones, so that alternative variables need to be considered in order to enhance learning effectiveness in online settings. In this study, the effects of Self-Regulated Learning(SRL) and motivation on learner-instructor interactions and academic performance in an online university were addressed. As a result, SRL and motivation not only directly affected both interactions and achievements, but also indirectly affected achievements via interactions. Also, learner-instructor interactions were directly effective on learning achievements. The implications of the research included comprehensive understandings of the structural relationships of teaching- and learning-related variables on learning. Suggestions were made based on the results.

• Journal of KIISE:Software and Applications
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• v.33 no.3
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• pp.316-334
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• 2006

In the traditional computing paradigm, developers design software to run in a fixed and well-defined environment. The real environment, however, is too complicated to analyze all situations perfectly. Consequently, traditional software, which is implemented only for what is wanted as input, often fails badly in real environment. As a new approach, self-adaptive software can avoid runtime failures adapting to unpredictable situations. Self-adaptive software must firstly evaluate the contextual situation to determine the need for adaptation. Existing researches do not support the abstraction mechanism for identifying contextual problem. Consequently, they can have troubles with identifying the contextual problem as the execution environment is getting complex. In addition, they cannot support the expandability for contextual problems, which software can evaluate. This paper suggests the goal-based evaluation method of contextual situation for coping with the limitations of existing researches.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.319-329
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• 2017

This study is on the effects of lifelong education participative motivation, self-efficacy, and self-directed learning on subjective happiness of middle age adults. Middle age adults 40-64 years old are questionnaire survey target in Incheon and Gyeonggido and total 289 copies among 300 were analyzed through SPSS 21.0. The major findings of this study con be seen as follows: The variables more affected on educational satisfaction of middle age adults are goal-oriented motivation and activity-oriented motivation in lifelong education participative motivation, self-regulated efficacy in self-efficacy, and each personality, recognition and environment in self-directed learning. In conclusion, new paradigm is needed for middle age adults in lifelong learning society. This program should provide them with knowledge and information for adapting the future society, Furthermore, middle age adults can achieve their own self exploration, self-development and self-realization through the lifelong education program. Given a chance of lifelong education, middle age adults should be provided with the specific programs.

• Journal of the Korean Society of Radiology
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• v.6 no.6
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• pp.473-476
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• 2012

The PET-MRI which has been installed and being managed recently uses both magnetic field and radiation. Most radiation workers wear a thermoluminescenct dosimeter (TLD) as a personal radiation dosimeter, and the TLD is affected both by a magnetic field and radiation. In this research, the same amount of X-ray was applied to 36 TLDs, and the changes in the dose of the 32 TLDs exposed to magnetic field at the location where its intensity of the magnetic resonance imaging (MRI) was about 5000 Gauss for eight hours with one-hour unit and that of the four TLDs not exposed to magnetic field were compared and checked. The measurement result showed that exposure dose of the TLD attached to the MRI changed irregularly depending on the amount of exposure time. Therefore, the TLD whose amount of changes little in the environment of a MRI is demanded to be developed.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.193-199
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• 2016

MR(magnetorheological) devices for vehicle applications requires the consistent control performance and the reliable operation. However, the corrosion of iron particles consisting the MR fluid can significantly affect on MR properties. This paper presents an effect of the MR particle corrosion on the performance of MR fluids such as shear stress magnitude which is directly concerned with control performance. As a first step, MR particles are corroded by water-calcium chloride solution. The resulting MR particles are examined by scanning electron microscope (SEM) and their molar ratios are analyzed by the energy dispersive X-ray analysis (EDAX). By dispersing the corroded MR particles into silicone oil, the corroded MR fluid is synthesized for evaluation of MR effect change. A rotational viscometer is adopted to measure shear stress magnitude. Finally, it is demonstrated how much the corrosion affect on performances by comparing the normal MR fluid to the corroded MR fluid, from which performance investigation of the MR devices containing the corroded MR particles will be studied in the second phase of this study.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.467-473
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• 2021

The purpose of this study is to confirm the effect of health assessment classes applied with flip learning on self-directed learning ability, critical thinking disposition, and academic self-efficacy of nursing students. This is a comparative study before and after a single group, targeting sophomore students taking a health assessment by applying flip learning at a nursing college in K city, Gyeongsangbuk-do. The final analysis consisted of 104 subjects, and the pre-post difference was analyzed by a paired sample test. As a result, self-directed learning ability (t=-3.23, p<.01), critical thinking disposition (t=6.381, p<.001), and academic self-efficacy (t=-4.62, p<.001) were all statistically significantly increased. Based on the results of this study, it was confirmed that the flip-learning method is an effective program to enhance the self-directed learning ability, critical thinking ability, and academic self-efficacy of nursing students. In the long run, the application of the flipped learning learner will play a role in improving the educational environment and strengthening the abilities of students.