• Journal of Digital Convergence
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• v.11 no.1
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• pp.405-412
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• 2013

This study was to identify the mediating effect of hope between stress coping and psychological wellbeing of women immigrants. The data for the study were collected from 592 women immigrants in 10 cities and provinces of Korea. First, it was found that the women immigrants used approach coping more than avoidance coping, and the level of hope and positive wellbeing scored above the middle point. Second, approach coping was positively correlated with hope and positive wellbeing, but avoidance coping was positively correlated with negative wellbeing. Third, the mediating effect of hope between approach coping and positive wellbeing was testified. Finally, the mediating effect of hope between approach coping and negative wellbeing was also testified.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.225-234
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• 2021

Due to pandemic situations, the development of home robots that can make the house an optimized space for various activities is active. This study aims to confirm the effectiveness of approach or avoidance behavior for feedback positioning on the user experience, depending on the context in which the robot performs the task. Based on two types of the task contexts(Reactive vs. Proactive) and three types of robot feedback positioning(No move vs. Avoidance vs. Approach), six different scenarios were designed for experimental study. Likeability, perceived intelligence, rapport, negative attitude and predictability of behavior are measured for each conditions. The result showed the main effects of perceived intelligence, rapport, predictability in the context of tasks, and of likability, perceived intelligence, rapport in robot feedback positioning. The interaction effects were shown in likeability and perceived intelligence. In conclusion, approach-avoidance experiences can also be applied to robot behaviors as well, and the negative effects of avoidance have been significantly confirmed.

• Smart Structures and Systems
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• v.25 no.4
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• pp.487-499
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• 2020

This paper proposes a novel approach to model updating for a large-scale cable-stayed bridge based on ambient vibration tests coupled with a hybrid metaheuristic search algorithm. Vibration measurements are carried out under excitation sources of passing vehicles and wind. Based on the measured structural dynamic characteristics, a finite element (FE) model is updated. For long-span bridges, ambient vibration test (AVT) is the most effective vibration testing technique because ambient excitation is freely available, whereas a forced vibration test (FVT) requires considerable efforts to install actuators such as shakers to produce measurable responses. Particle swarm optimization (PSO) is a famous metaheuristic algorithm applied successfully in numerous fields over the last decades. However, PSO has big drawbacks that may decrease its efficiency in tackling the optimization problems. A possible drawback of PSO is premature convergence leading to low convergence level, particularly in complicated multi-peak search issues. On the other hand, PSO not only depends crucially on the quality of initial populations, but also it is impossible to improve the quality of new generations. If the positions of initial particles are far from the global best, it may be difficult to seek the best solution. To overcome the drawbacks of PSO, we propose a hybrid algorithm combining GA with an improved PSO (HGAIPSO). Two striking characteristics of HGAIPSO are briefly described as follows: (1) because of possessing crossover and mutation operators, GA is applied to generate the initial elite populations and (2) those populations are then employed to seek the best solution based on the global search capacity of IPSO that can tackle the problem of premature convergence of PSO. The results show that HGAIPSO not only identifies uncertain parameters of the considered bridge accurately, but also outperforms than PSO, improved PSO (IPSO), and a combination of GA and PSO (HGAPSO) in terms of convergence level and accuracy.

• Journal of the Korea Convergence Society
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• v.12 no.10
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• pp.97-104
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• 2021

The purpose of the study was to investigate whether there are differences in confrontation naming ability, generative naming ability, hearing handicap, and depression in community-dwelling elderly by age group, and whether there is any correlation among them, and to find out what factors explain the two naming abilities (confront and generative) of the elderly. Sixty-five community-dwelling elderly people participated: 65~74 years were classified into young-old; 75~84 years into old-old; and 85 years and over into oldest-old. K-BNT-15 for the confrontation naming ability, animal naming test for the generative naming ability, K-HHIE for the subjective hearing handicap, and GDS for the subjective depression were administered. First, there was a statistically significant difference in confrontation naming and depression levels according to age groups. Second, there was a positive correlation between chronological age and subjective depression level and between subjective hearing handicap level and subjective depression level, and a negative correlation between education level and subjective depression level. Third, the confrontation naming score was explained by age, and the generative naming score was explained by subjective depression level. The results show that naming abilities, subjective hearing handicap, and subjective depression level are not simply the result of normal aging and that a convergence approach is needed in various fields to solve the issue.

• Journal of Digital Convergence
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• v.13 no.6
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• pp.225-234
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• 2015

Neurobiological approach helps to resolve the mind-body dualism and develop new assessment and treatment approaches in psychiatry. However, it could be a problem to place too much emphasis on certain aspects of neurobiology, specifically structural neuroanatomy, because of the complexity or comorbidity of neuropsychiatric disorders. Developmental Coordination Disorder (DCD), for instance, is generally related to problems in motor skills and this movement disability is often related to perception. One account, two visual systems theory, relied on functional distinction in brain; ventral stream is responsible for visual recognition, and dorsal stream is responsible for the guidance of actions. However, Studies are now showing that shape perception is relevant to visually guided action, such as reaching-to-grasp an object. In this article, I reviewed fundamental findings of two-visual system theory and suggested problems of visually guided action to consider what shape perception implies for the two visual systems. Questions raised highlight possible limitations of adopting a structural neuroanatomical approach to account for perception and action effects, and by extent related psychiatric conditions such as DCD. In conclusion, neurobiological approach converging to neuropsychiatry, while useful, would be limited if it focuses too much on anatomical distinction.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.1
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• pp.69-78
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• 2013

Recently, as GIS industry has substantially grown up, convergence between industries such as the application coverage of surveying and cadastral information is gradually on the increase. The new approach of convergence between topographic surveying and cadastral survey is indispensable to make the change of geospatial environment ready and to maximize the utilization of National Spatial Data Infrastructure(NSDI). The purpose of this paper is to seek the way of synergistic improvement in topographic surveying and cadastral survey in comprehensive aspects of national geospatial information. First, we reviewed policy environment to clearly establish aim of convergence and promising perspective of GIS industry policy, considering NSDI. In addition, we examined current state of administration (organization, human resource, service) and institution situation. We came up with interior ability and external policy environment as well as critical success factor for the synergistic convergence by using SWOT analysis. Lastly, we developed basic perspective of convergence and improvement model and concrete scheme for stakeholder to complementary make progress. We can come to conclusion that the convergence of topographic surveying and cadastral survey should be not only carried in macro outline of successful NSDI but also committed to completion and maintenance of GIS framework.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.1-8
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• 2016

Coding education is an effective convergence type educational tool. While solving problems and designing programs, students can enhance problem solving ability, logical reasoning ability and creative thinking. Researches on coding education are done primarily for elementary school and middle school students. However, researches on college students are lacking. Today, educating college students about coding is in dire need. Although there are efforts to promote the importance of coding education and make it requirements. People find it difficult to find ways to provide training. There is a need for researches on coding as universal education. Therefore, this research proposed educational training using app inventor based on flipped running in order to effectively promote coding education. This study conducted the survey and the personal interview to measure the effectiveness of coding education. It is hoped that, through coding education, students who do not major in coding could combined their knowledge of their major with coding to improve their problem solving ability to solve various problems based on computing knowledge and approach.

• Journal of Digital Convergence
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• v.14 no.10
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• pp.553-561
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• 2016

This research focuses on the modern social phenomenon on child education which still, heavily focuses on knowledge transfer where in the past, traditional society emphasized its focal point on character education. At this, character education plans from various angles have been performed. However, the timely request for character education is becoming more desperate in demand. Therefore, the research has contemplated on Sohak, which was the foundation of character education in Korean traditional education, and recognized necessity to review its modern values as the convergence era has approached our society. Modernization of Sohak's teachings to approach modern issue of character education in our society will hold significant value because of its creative inheritance of psychological values and culture to children from the traditional society.

• Journal of the Korea Convergence Society
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• v.7 no.4
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• pp.1-7
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• 2016

Structural MRI(sMRI) imaging is used to extract morphometric features after Grey Matter (GM), White Matter (WM) for several univariate and multivariate method, and Cerebro-spinal Fluid (CSF) segmentation. A new approach is applied for the diagnosis of very mild to mild AD. We propose the classification method of Alzheimer disease patients from normal controls by combining morphometric features and Gaussian Mixture Models parameters along with MMSE (Mini Mental State Examination) score. The combined features are fed into Multi-kernel SVM classifier after getting rid of curse of dimensionality using principal component analysis. The experimenral results of the proposed diagnosis method yield up to 96% stratification accuracy with Multi-kernel SVM along with high sensitivity and specificity above 90%.

• Journal of the Korea Convergence Society
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• v.6 no.3
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• pp.127-134
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• 2015

In this paper, we design a semantic-based syllabus template including learning ontologies. A syllabus has been considered as a important blueprint of teaching in universities. However, the current syllabus has no importance in real world because most of all syllabus management systems provide simple functionalities such as, creation, modification, and retrieval. In this paper, our approach consists of definition of hierarchical structure of syllabus and semantic relationships of syllabuses, formalization of learning goals, learning activity, and learning evaluation using Bloom's taxonomy and design of learning subject ontologies for improving the usability of syllabus. We prove the correctness of our proposed methods according to implementing a real syllabus for JAVA programing course and experiments for retrieving syllabuses.