• Journal of Korea Port Economic Association
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• v.26 no.4
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• pp.269-288
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• 2010

21 C is called the age of Culture and it is underlined in all the Areas of Human lifes. Among all activities, Culture oriented Thinking and activities and strategies through and for Culture establishing are emphasized. As Sea may appear as a image of longing and challenge for the unknown world, Port is understood as a link which connect Sea and Land. Sea, Island and Port are the basis of human lifes, economic working areas and communication spaces with nature. Sea and Port have been changed in accordance with human History as the space of Life, Work, Play and Imagination. The Maritime activities has been developed as the type of a Culture, including various diversities according to the time and space. This Paper suggested a definition of Maritime Culture and Theoretical review and groped introduction and strategies and countermeasures for expansion of systematic Maritime Culture. Maritime Culture not only enhance the quality of Citizen life but also contribute the progress of National economy increasing the quality of Culture, Turism and Environment and the expectation of it has been enlarged. It is needed to introduce and expand Maritime Culture systematically through theoretical framework suggested by this paper, and additional research may be necessary for the detailed solutions and countermeasures.

• Journal of the Korea Society of Computer and Information
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• v.15 no.8
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• pp.51-58
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• 2010

Programming education needs learning which is adjusted individual learners' level of their learning abilities. Recommendation system is one way of implementing personalized service. In this research, we propose recommendation method which learning items are recommended for individual learners' learning in web-based programming education environment by. Our proposed system for leveled programming education provides appropriate programming problems for a certain learner in his learning level and learning scope employing collaborative filtering method using learners' profile of their level and correlation profile between learning topics. As a result, it resolves a problem that providing appropriate programming problems in learner's level, and we get a result that improving leaner's programming ability. Furthermore, when we compared our proposed method and original collaborative filtering method, our proposed method provides the ways to solve the scalability which is one of the limitations in recommendation systems by improving recommendation performance and reducing analysis time.

• Journal of The Korean Association of Information Education
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• v.8 no.3
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• pp.365-372
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• 2004

The purpose of this study is to develop FVU, which enables teachers effectively to construct self-page on the screen, to reduce the size of file for teaching, and to correct many different kinds of event which was already made in the previous. The instrument used in the development of this Editor is UML(Unified Modeling Language), which is object-oriented methodology. The Authoring tool developed in this study is named FVU. The first page which is needed in class can be constructed by using VUEditor in FVU. Using VUEditor can get Instructional Syllabus exported into VUAuthor through Vector-transformation. Through this procedure, the size of image file comes to be reduced into forming low band width, which results in solving the problem of network traffic. Also, Instructor can create image, shape and text, and delete and correct errors or mistakes which make in the course of constructing materials for teaching. In conclusion, this VUEditor enables program designer to construct the first page, even without using such applied program as Image Tool and Power Point. This VUEditor makes instructor to make some contents for teaching easily.

• Journal of The Korean Association of Information Education
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• v.23 no.6
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• pp.583-590
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• 2019

The purpose of this study is to develop an educational program for learning deep learning concepts for elementary school students. The model of education program was developed the deep-learning teaching method based on CT element-oriented teaching and learning model. The subject of the developed program is the artificial intelligence image recognition CNN algorithm, and we have developed 9 educational programs. We applied the program over two weeks to sixth graders. Expert validity analysis showed that the minimum CVR value was more than .56. The fitness level of learner level and the level of teacher guidance were less than .80, and the fitness of learning environment and media above .96 was high. The students' satisfaction analysis showed that students gave a positive evaluation of the average of 4.0 or higher on the understanding, benefit, interest, and learning materials of artificial intelligence learning.

• Journal of Digital Convergence
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• v.11 no.9
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• pp.103-111
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• 2013

As the demand-oriented management has been getting important in Supply Chain Management (SCM), various forecasting methods have been suggested including regression analyses. However, dependency structures among variables have been captured by a correlation coefficient, only. It results in inaccurate demand predictions. This paper suggests a new and effective forecasting modeling framework using student's t-copula function. In order to show overall modeling procedures framework, heavy tail typed numerical data and its copula estimations are provided. The suggested methodology can contribute to decrease the bullwhip effect and to stabilize volatile environment in a supply chain network.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.153-164
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• 2018

The purpose of this study is to research whether organizational culture affected job satisfaction and whether there was the mediating effect of communication in the relationship between organizational culture and job satisfaction. This study analyzed the mediating effect with SEM using data of the HCCP in 2015. The results of the study are as follows. First, it was found that innovative, relationship, rational culture significantly influenced the job satisfaction of the employees. Second, the effect of innovative, relationship, hierarchical, rational culture on job satisfaction was mediated through communication. Therefore, this study suggested creating an innovative and relationship-oriented organizational culture and a working environment that could facilitate smooth communication in the enterprises.

• Journal of the Korean Academy of Clinical Electrophysiology
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• v.11 no.1
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• pp.13-19
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• 2013

Purpose : The purpose of this research was to develop a proposal by investigating the work habits associated with exercise programs for the prevention of chronic back pain. Methods : The symptoms, areas and causes of musculoskeletal patients were analyzed during a three-month period in order to develop and apply prevention programs that stimulate lumbar deep layer muscle movement. Results : The results of this study show that the lumbar and shoulders are primary areas of pain. According to the literature, lumbar and shoulder pain is caused due to long periods in the standing position and unhealthy posture during work. A preliminary program was conducted for one month to study lower back pain prevention. Preliminary results of the program showed a lumbar stabilizing effect caused by the strengthening of abdominal muscles. In addition, the alignment of the spine often leads to effective action. Therefore, action-oriented programs should be implemented in order to induce contractions of the transverse abdominis muscle. Conclusion : The completed program should consider habit and practices of workers within their working environment. The promotion of health through exercise for both employers and workers is expected to bring physical and psychological benefits that will positively affect economic results.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.3
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• pp.9-18
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• 2002

Landscape, the land mosaics, is combined with human and natural environment. Landuse and landcover changes are an important factor that changes structure and function of regional landscape. In this study, the changes of landcover and landscape structures are examined in Kyongsan between 1985 and 1997, using Landsat TM images and landscape indices. The results of this study are as follows; First, according to the classification of landcover, forest and agriculture areas have decreased as a result of urban expansion. Second, forest fragmentation has been brought by development; So forest healthiness has weakened. It is proved that urban expansion has happened in agriculture land. Third, a variety of landuse types around forest have changed from agriculture-oriented types to the ones mixed with urban and agriculture areas between 1985 and 1997.

• Journal of the Korean Association of Geographic Information Studies
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• v.2 no.1
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• pp.32-44
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• 1999

Texture features can be incorporated in classification procedure to resolve class confusions. However, there have been few application-oriented studies made to evaluate the relative powers of texture analysis methods in a particular environment. This study evaluates the increases in the land-cover classification accuracy of the SPOT HRV multispectral data of Pusan Metropolitan area from texture processing. Twenty-four texture measures were derived from the SPOT HRV band 3 image. Each of these features were used in combination with the three spectral images in the classification of 10 land-cover classes. Supervised training and a Gaussian maximum likelihood classifier were used in the classification. It was found that while entropy produces the best empirical results in terms of the overall classification, other texture features can also largely improve the classification accuracies obtained by the use of the spectral images only. With the inclusion of texture, the classification for each category improves. Specially, urban built-up areas had much increase in accuracy. The results indicate that texture size 5 by 5 and 7 by 7 may be suitable at land cover classification of Pusan Metropolitan area.

• Journal of Korea Water Resources Association
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• v.44 no.6
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• pp.439-447
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• 2011

This study aims to test the feasibility of combined use of EFDC (Environmental Fluid Dynamics Code) hydrodynamic model and WASP7.3 (Water Quality Analysis Program) model to improve accuracy of water quality predictions of the Yongdam Lake, Korea. The orthogonal curvilinear grid system was used for EFDC model to represent riverine shape of the study area. Relationship between volume, surface and elevation results were checked to verify if the grid system represents morphology of the lake properly. Monthly average boundary water quality conditions were estimated using the monthly monitored water quality data from Korean Ministry of Environment DB system. Monthly tributary flow rates were back-routed using dam discharge data and allocated in proportion to each basin area as direct measurements were not available. The optimum number of grid system was determined to be 372 horizontal cells and 10 vertical layers of the site for 1 year simulation of hydrodynamics and water quality out of iterative trials. Monthly observed BOD, TN, TP and Chl-a concentrations inside the lake were used for calibration of WASP7.3 model. This study shows that EFDC and WASP can be used in series successfully to improve accuracy in water quality modeling. However, it was observed that the amount of data to develop inflow water quality and flow rate boundary conditions and water quality data inside lake for calibration were not enough for accurate modeling. It is suggested that object-oriented data collection systems would be necessary to ensure accuracy of EFDC-WASP model application and thus for efficient lake water quality management strategy development.