• Journal of Korean Elementary Science Education
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• v.40 no.3
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• pp.390-406
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• 2021

This study investigated how elementary students with different spatial ability constructed spatial thinking process about on volcanoes and earthquakes with GeoMapApp-based materials. Students' spatial thinking process was analyzed in terms of spatial concept recognized, tools of spatial representation, and their spatial reasoning to construct topographic structure. The student group with high-scored spatial ability showed the spatial reasoning based on internal representation of building mental images through sectional division of horizontal distance, directly connected with spatial concept, or distorting spatial concept. The student group with low-scored spatial ability built the spatial reasoning directly connected with spatial concept instead of transforming into internal representation, and partially recognized spatial concept on either distance or depth. Based on the results, we argued identifying spatial concepts such as distance, height, or depth from the GeoMapApp data would be funda- mental for the better spatial thinking.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.553-559
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• 2020

In order to prevent subsidence in urban areas, which is a major cause of damage to aging underground facilities, an integrated underground space map is being produced for systematic management of underground facilities. However, there is a problem of delaying the update time because an unupdated underground facility object is included in the process of updating the underground space integrated map. In this paper, we proposed a method to shorten the update time of the integrated map by selecting only the updated objects required for the update process of the underground space integrated map based on the central point of the underground facilities. Through the comparison of the centroid, the number of search targets is greatly reduced to shorten the search speed, and the distance of the actual location values between the two objects is calculated whether or not the objects are the same. The proposed method shows faster performance as the number of data increases, and the updated object can be reflected in the underground space integrated map about four times faster than the existing method.

• Knowledge Management Research
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• v.1 no.1
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• pp.81-90
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• 2000

This study proposes the knowledge discovery process for the effective mining of knowledge on the web. The proposed knowledge discovery process uses the Prior knowledge base and the Prior knowledge management system to reflect tacit knowledge in addition to explicit knowledge. The prior knowledge management system constructs the prior knowledge base using a fuzzy cognitive map, and defines information to be extracted from the web. In addition, it transforms the extracted information into the form being handled in mining process. Experiments using case-based reasoning and neural network" are performed to verify the usefulness of the proposed model. The experimental results are encouraging and prove the usefulness of the proposed model.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.1
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• pp.56-62
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• 2006

This paper is concerned with a six sigma application to non-manufacturing process. Based on the comparison to manufacturing process, non-manufacturing process has some specific characteristics. The main focus of this study is to introduce an empirical case study on the implementation of DMAIC procedures for non-manufacturing process. We use a simple and practical road map which consists of 13 steps. Some fundamental rules for DMAIC implementation in six sigma projects are also introduced.

• Proceedings of the Korean Society of Computer Information Conference
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• 2008.06a
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• pp.243-249
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• 2008

Based on a comprehensive framework that reflects lifecycle requirements of KMs and BPMs, we propose an PKMS(Process based KMS) for integrating KMs and BPMs in order to combine the advantages of the two paradigms. This paper first defines the priority order of knowledge according to knowledge type and classifies it into three groups which consist of Basic KM, Practical KM and Reference KM. Then, it suggests PKMS knowledge map composed of much core-knowledge each of which has information about a unit of the related business process. Using the PKMS Knowledge map, we can directly provide related core-knowledge related for the business process while a person is working a unit of business process. This paper designed the PKMS applied to employment insurance business part. Long term goal of the concepts is to concern a change management organization of knowledge on PKMS.

• Journal of Korea Water Resources Association
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• v.39 no.5 s.166
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• pp.383-394
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• 2006

This study is for the inundation damage analysis caused by levee break, and for the applicability of GIS tool to make inundation map in the Jungrang stream basin which is one of the representative urbanized area in Korea. The FLDWAV was applied to the actual flood in 1998 to calibrate the parameters, and was used under the flood conditions of 100, 200 years and PMF for the analysis of inundation caused by the levee breach. As the conditions of the levee break, the duration of break(10, 30, 60 min), the width of break(10, 20, 30m) and the location of the break are considered. We found out that the range and the volume of the inundation are strongly influenced by the location of the levee break, the break width in order. And, we compared the two processes of making the inundation map using WMS and ArcView model. The Process 1 which use only WMS has the benefit by its simplicity but there could be considerable errors in making the inundation map, while Process 2 where the ArcView model is introduced to WMS has the capability of making detailed topography map but needs more process time. This study could contribute to levee breach flood analysis and making flood map to establish the EAP(Emergency Action Plan) in the urban basin.

• Journal of Korean Home Economics Education Association
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• v.29 no.3
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• pp.161-183
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• 2017

The purpose of this study is to develop a concept map in a visual instructional strategy so that meaningful learning can be done by structuring knowledge in the section of eco-friendly clothing life and reform clothes. For this purpose, ten textbooks for the 2009 revised were analyzed, and 10 sub-area were selected to develop the concept map. The development was done by using Cmap Tools V6.02 and the study process has progressed content analysis, concept extraction, and concept map development. The analysis process and results of this study are as follows. First, in the course of setting standards, the analytical standards were set for the 2007 revision and 2009 revision curriculum achievement standards. Second, in the process of content analysis and concept extracting, through the analysis of textbooks, 'clothing selection and purchase', 'clothing care and management' and 'clothing reuse and eco-friendly'. The concept was extracted by subdividing on the basis of general and comprehensive core concepts. Third, the development process of concept map was developed and revised based on the extracted concepts, and the concept map developed was the 'clothing purchase plan', 'points to consider when buying clothing' 'quality', 'handle with care', 'classify laundry', 'remove stain', 'water washing', 'repair clothing', 'reform clothing', 'eco-friendly clothing life'.

• The Journal of Korean Association of Computer Education
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• v.16 no.6
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• pp.71-81
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• 2013

This study was executed to give a help in planning and implementing online learning. For this purpose this study investigated the effect of contents presentation types, levels and metacognition on concept map composition and learning process in online learning. Learning contents types were two, meaning-centered or context-centered. Contents levels were divided into two; basic or deficient. Metacognition was divided into two levels according to the scores of scale. Results showed that meaning-centered type(M=45.00, SE=1.97) got better scores in concept map than context-centered(M=34.71, SE=1.98), Presentation levels and metacognition had no significant influence on concept map. There were interaction effect(F=.002, p>.05) between presentation levels and metacogntion levels. The upper group in metacognition got higher score in deficient types whereas the lower group got higher score in basic type. In online learning process, learner's metacognition was an important factor to complement the contents' defect and lack.

• Journal of the Korea Computer Graphics Society
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• v.27 no.4
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• pp.11-24
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• 2021

In this paper, we propose an artificial neural network framework that can represent the foam effects expressed in liquid simulation in detail without noise. The position and advection of foam particles are calculated using the existing screen projection method, and the noise problem that appears in this process is solved through an proposed artificial neural network. The important thing in the screen projection approach is the projection map, but noise occurs in the projection map in the process of projecting momentum into the discretized screen space, and we efficiently solve this problem by using an artificial neural network-based denoising network. When the foam generating area is selected through the projection map, 2D is inversely transformed into 3D space to generate foam particles. We solve the existing denoising network problem in which small-scaled foam particles disappear. In addition, by integrating the proposed algorithm with the screen-space projection framework, all the advantages of this approach can be accommodated. As a result, it shows through various experiments whether it is possible to stably represent not only the clean foam effects but also the foam particles lost due to the denoising process.

• The Journal of the Korea Contents Association
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• v.10 no.10
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• pp.78-85
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• 2010

Map/Reduce is the programing model which can implement the Cloud Computing recently has been noticed. The model operates an application program processing amount of data using a lot of computers. It is important to plan the mechanism of separating the data in proper size and distributing that to a cluster consisted of computing node in efficient for using the computing nodes very well. Besides that, planning a process of Map phases and Reduce phases also influences the performance of Map/Reduce. This paper suggests the effectively distributing scheme that separates a huge data and operates Map task in the considering the performance of computing node and network status. And we make the Reduce task can be processed quickly through the tuning the mechanism of Map and Reduce task operation. Using the two Map/Reduce sample application, we experimented the suggestion and we evaluate suggestion considered it in how impact the Map/Reduce performance.