• 한국체육학회지인문사회과학편
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• v.55 no.4
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• pp.443-462
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• 2016

The purpose of this study was to suggest an extensive and evolved conceptual model of community dance reflecting new tendencies, practice, and various values. For the purpose, efforts were made to categorize common properties based on various cases using qualitative data collection about 10 community dance specialists. The Practice of Community theory of Wenger(1991) has contributed to conceptualization including the new perspective on community dance, which has been the theoretical framework. Firstly, 'a community' as a basic premise is self-organizing, interactive, regional and creative. Secondly, 'practice' in community dance means openness, focused on participants, improvisation and nmind-body centering, value-oriented processes and connectivity with daily lives. Thirdly, 'social learning' can be interpreted within the framework of joint enterprise and domain, quality and status of dacne, and dance literacy embodied as a shared repertoire. Lastly, identity of community dance has been expanding the concept area as 'dance for all' reflecting ongoing properties and future-oriented values in that it pursues healing arts and relationship, amateurism collaborating with dance artists, combination of democratic citizenship and civic creativity, cultural diversity and social integration, and types of sustainable development.

• Journal of Korea Game Society
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• v.16 no.5
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• pp.111-122
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• 2016

The purpose of this study is to suggest an curriculum model of teaching scheme which performs team project learning based on Integrated project with different fields. To address this goal, the present study suggests a practical game project model under the same game-making circumstances as game industry by consisting of real case of convergence parts(game graphic, game design, game program). This project-based learning case has been conducting Integrated project education since 2008 in A educational Institute in Korea. The results of study suggest a standard of Integrated-based curriculum model and it is constructed with two parts. The first part is what students learned during project processing, such as responsibility, communication. The other part is how to construct the educational environment for integrated project. It explains how to organize and build teams, plan of integrated project, rule the role of team task, perform collaborative task, present interim/final presentation, evaluate grade. This study is expected to be utilized as a framework for the instructional design and the guideline for improving learner competency in team project learning.

• Korean Journal of Construction Engineering and Management
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• v.21 no.5
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• pp.11-19
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• 2020

A daily progress monitoring and further schedule management of a construction project have a significant impact on the construction manager's decision making in schedule change and controlling field operation. However, a current site monitoring method highly relies on the manually recorded daily-log book by the person in charge of the work. For this reason, it is difficult to take a detached view and sometimes human error such as omission of contents may occur. In order to resolve these problems, previous researches have developed automated site monitoring method with the object recognition-based visualization or BIM data creation. Despite of the research results along with the related technology development, there are limitations in application targeting the practical construction projects due to the constraints in the experimental methods that assume the fixed equipment at a specific location. To overcome these limitations, some smart devices carried by the field workers can be employed as a medium for data creation. Specifically, the extracted information from the site picture by object recognition technology of CNN model, and positional information by GIPS are applied to update 4D BIM data. A standard CNN model is developed and BIM data modification experiments are conducted with the collected data to validate the research suggestion. Based on the experimental results, it is confirmed that the methods and performance are applicable to the construction site management and further it is expected to contribute speedy and precise data creation with the application of automated progress monitoring methods.

• Survey Research
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• v.9 no.2
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• pp.85-118
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• 2008

There have been a great many ups and downs in Korean Credit Card Industries after 2000. It is certain that each Credit Card Company copes with the situations by means of its organizational capabilities. According to the evolutionary view of Institutionalism, a company's capabilities are composed of every day routines, codes, rules, learning(by doing, using, interacting) and decision makings. The purpose of this article is to verify how two Korean Credit Card Companies showed their strategic differences and what factors exposed each company's own limits. To examine the company's ordinary conducts, this study used Q methodology with a random sample of 16 members from each company. Especially from the results of Q factor analysis, it becomes clear that each company still takes a serious view of the economy of scale rather than the innovation or improvement of organizational and relational dynamics.

• Journal of The Korean Association For Science Education
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• v.42 no.1
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• pp.127-147
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• 2022

Pre-service science teacher education is important to elaborate the quality of science teaching and learning in schools. Therefore, many pre-service science teacher education researches have been done in Korea. However, almost no research has comprehensively reviewed those literatures including secondary teacher education context. This study reviewed 410 pre-service science teacher education researches in Korea, from 1995 to 2021 published by 17 journals in KCI. The trends were analyzed with respect to the number of article according to period, keyword frequency, and qualitative features. The qualitative features were coded in multiple aspects of pre-service teachers' type, major, subject-matter in research context, research approach, data type, and the number of participants. The results indicate that the number of research articles has increased by about 40 for every 5-year period. JKASE has published most articles, and the diversity of journals has increased since 2010. Keyword frequency revealed that scientific concepts, science teaching efficacy, nature of science, and other teaching and learning contexts were emphasized. In qualitative features, the most frequent pre-service type was secondary in 'general' science context. For research topic, 'pre-service teacher education program' and 'perception and cognitive domain' were the most frequent. Most of the articles have 'analyzed' the phenomena or consequence of educational issue. Most research was conducted with 11 to 30 participants. These patterns of qualitative features have differed according to period, and types of pre-service teacher. Suggestions for the future pre-service science teacher education research topic were explored, such as policy-administrative research, integrated science teacher education, teacher agency, and environmental education.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.427-432
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• 2012

The article herein suggested a compound repository and a descriptive method to develop a compound knowledge process. A data target saved in a compound knowledge repository suggested in this article includes all compound knowledge meta data and digital resources, which can be divided into the three following factors according to the purpose: user roles, functional elements, and service ranges. The three factors are basic components to describe abstract models of repository. In this article, meta data of compound knowledge are defined by being classified into the two factors. A component stands for the property about a main agent, activity unit or resource that use and create knowledge, and a context presents the context in which knowledge object are included. An agent of the compound knowledge process performs classification, registration, and pattern information management of composite knowledge, and serves as data flow and processing between compound knowledge repository and user. The agent of the compound knowledge process consists of the following functions: warning to inform data search and extraction, data collection and output for data exchange in an distributed environment, storage and registration for data, request and transmission to call for physical material wanted after search of meta data. In this article, the construction of a compound knowledge repository for recommendation system to be developed can serve a role to enhance learning productivity through real-time visualization of timely knowledge by presenting well-put various contents to users in the field of industry to occur work and learning at the same time.

• The Journal of Bigdata
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• v.8 no.1
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• pp.49-59
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• 2023

There are various items in the safety and health standards of the manufacturing industry, but they can be divided into work-related diseases and musculoskeletal diseases according to the standards for sickness and accident victims. Musculoskeletal diseases occur frequently in manufacturing and can lead to a decrease in labor productivity and a weakening of competitiveness in manufacturing. In this paper, to detect the musculoskeletal harmful factors of manufacturing workers, we defined the musculoskeletal load work factor analysis, harmful load working postures, and key points matching, and constructed data for Artificial Intelligence(AI) learning. To check the effectiveness of the suggested dataset, AI algorithms such as YOLO, Lite-HRNet, and EfficientNet were used to train and verify. Our experimental results the human detection accuracy is 99%, the key points matching accuracy of the detected person is @AP0.5 88%, and the accuracy of working postures evaluation by integrating the inferred matching positions is LEGS 72.2%, NECT 85.7%, TRUNK 81.9%, UPPERARM 79.8%, and LOWERARM 92.7%, and considered the necessity for research that can prevent deep learning-based musculoskeletal diseases.

• Journal of Korean Philosophical Society
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• v.126
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• pp.423-461
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• 2013

The researcher conducted this study to investigate what special meaning does an emotion experience program, a Confucianism philosophical thinking, has for Sunwoo(善友), and based on what structure it unveils a good clue of Sunwoo(善友); and to reveal the structure of philosophical counselling treatment simultaneously. Thus, the researcher performed an "emotion experience program for 3 weeks, targeting 22 research subjects and collected the data of their experience. As for date analysis, a phenomenological analytic method of Colaizzi (1978), one of qualitative research methods was used. It was because the phenomenological analytic method of Colaizzi was suggested to derive common properties of whole research subjects rather than those of individual research subject, which could help develop the theories of philosophical counselling treatment. The finding of the analysis revealed the intrinsic structure of the phenomenon which the research subjects experienced through "an emotion experience program" was reborn as 'unfamiliarity and suspicion', 'burden', 'recognition of a method and a need', 'self-reflection', 'awareness of nature and the correct behavior', 'joy and pleasure', and 'rebirth as a valuable existence'. These were categorized to examine the structure of philosophical counselling treatment. The findings revealed the treatment went through the precesses: 'the start of learning and intentional guidance', 'reflection', 'enlightenment', 'Sugichiin(修己治人)', 'freedom', and 'transcendence. Considering the purpose of Confucian philosophy is living valuable life and the accomplishment of objectives is based on the transcendence, realizing preallotment and putting it into practice, the structure of emotion experience by the research subjects is appropriate for the purpose of Confucian philosophy and the process of objective accomplishment.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.194-205
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• 2006

The purpose of this study is to develop a pedestrian multi-agent model and simulation system using multi-agent theory, which may be utilized as a planning support system for building a comfort and safe environment of pedestrian street. Differing from existing pedestrian models, however, every single pedestrian was regarded as an individual agent in the model. Multiple agents like multiple pedestrians in the street then maintain their own characteristics and respond to surrounding environment. In addition their moving behavior are made by their own decision rules that they have or had acquired through the interactive communications or learning between agents like real world. After verifying the model validation, as the $R^2$ between the predicted value and observed value was up to 0.781, the developed model was applied to Gazwa district within Gyeongsang university village. The simulation system was developed by Flash MX action scripts and the physical environment of the streets was configured with the digital map and ArcGis within computer virtual space. The attribute data of buildings such as type and size of commercial business were collected through the field survey and combined with physical features. Then the effect of the variation of building attractiveness and the occurrence of street events to pedestrian environment were simulated. Through the experiments this study could make suggestions to improve pedestrian environment.

• Journal of Korean Society of Transportation
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• v.20 no.4
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• pp.151-162
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• 2002

The object of this study is to develop an operating time prediction model for expressways using toll collection data. A Prediction model based on modular neural network model was developed and tested using real data. Two toll collection system(TCS) data set. Seoul-Suwon section for short range and Seoul-Daejeon section for long range, in Kyongbu expressway line were collected and analyzed. A time series analysis on TCS data indicated that operating times on both ranges are in reasonable prediction ranges. It was also found that prediction for the long section was more complex than that for the short section. However, a long term prediction for the short section turned out to be more difficult than that for the long section because of the higher sensitivity to initial condition. An application of the suggested model produced accurate prediction time. The features of suggested prediction model are in the requirement of minimum (3) input layers and in the ability of stable operating time prediction.