• The Journal of the Korea Contents Association
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• v.14 no.7
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• pp.18-28
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• 2014

With the reformation of organization and function of local office of education in 2010, consulting-supervision is introduced to schools as a system for education reform to improve the quality of school education. However, a dedicated on-line portal system that can provide integrated management on the functionalities of consulting-supervision has not been implemented yet. To successfully operate consulting-supervision in schools, it is also needed to provide an on-line consultant education system, that can support teachers to train themselves as a supervision-consultant. In this paper, we introduce an on-line consultant training system that provides various learning activity tools for consultant training based on Learning Activity Management System(LAMS) and Action Learning. The system consists of Management stage, Analysis stage, Solution stage, and Action stage for the empowerment of consultants' expertises, and is named as MASA. Brain-writing, SWOT(Strengths, Weaknesses, Opportunities, and Threads) analysis, 5Whys, decision grid, PMI(Plus, Minus, Interesting), and black chart techniques were developed in MASA as learning activity tools for consultant training.

• Journal of the Korean Geosynthetics Society
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• v.14 no.1
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• pp.33-41
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• 2015

In this study, laboratory tests (flow, unit weight, unconfined compressive strength and bleeding tests) were performed to evaluate engineering properties of treated soil to improve pipe mixing method. As result, flow and bleeding properties are proportional to the water contents. The unit weight and unconfined compressive strength is decreased as the water contents increased. Comparing equipments contact pressure with bearing capacity of the mixed soil for dozer, backhoe and belt conveyor are immediately appliable. The applicable water content range is estimated from 80% to 200% by pipe mixing method using cement. Also, The design chart is developed from the results.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.1-12
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• 2020

Recently, research using machine learning have shown remarkable results in various domains, leading to the fact that leaning-based dispatchers have intrigued interest in both academia and industry. To improve the performance of the dispatcher, each dispatch decision needs to be evaluated in detail. However, existing studies on visualization techniques for manufacturing lines have mainly focused on illustrating the performance indicators or abnormal patterns. In this paper, we propose a monitoring system that displays a variety of information about the manufacturing line along with alternatives at the time of each dispatching decision being made. Furthermore, the proposed system effectively represents the cause of the idle time of resources and the change of the performance index over time.

• Journal of Broadcast Engineering
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• v.25 no.1
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• pp.36-47
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• 2020

The improved belief-propagation-based algorithms, such as normalized min-sum algorithm (NMSA) or offset min-sum algorithm (OMSA), are widely used to decode LDPC(Low-Density Parity-Check) codes because they are less computationally complex and work well even at low SNR(Signal-to-Noise Ratio). However, these algorithms work well only when an appropriate normalization factor or offset value is used. A new method that uses a CMD(Check Node Message Distribution) chart and least-square method, which has been recently proposed, has advantages on computational complexity over other approaches to get optimal coefficients. Furthermore, this method can be used to derive coefficients for each iteration. In this paper, we apply this method and propose an algorithm to derive a combination of normalization factor and offset value for a combined normalized and offset min-sum algorithm to further improve the decoding of LDPC codes. Simulations on the next-generation broadcasting standards, ATSC 3.0 LDPC codes, prove that a combined normalized and offset min-sum algorithm which takes the proposed coefficients as correction coefficients shows the best BER performance among other decoding algorithms.

• Convergence Security Journal
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• v.5 no.1
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• pp.19-27
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• 2005

This paper presents the content regarding electronic medical examination chart and data processing for efficient medical examination and fast treatment by realizing remote medical examination system of mutual conversation type among 3 parties(patient, doctor, pharmacist) on internet base, and establishment of database enabled system integration for efficient data processing in both on-line and off-line mode by interconnecting ASP and SQL on IIS 4.0 web server, consultation between patient and doctor, medical examination on off-line mode, transmission of prescription sheet to the pharmacist designated by patient, preparation of medicine, semieternal storage of medical examination data owing to storage and check of medical examination data, more accurate medical examination and prescription using this medical examination data by patient and doctor, and so on. And, data processing between doctor and pharmacist is differently performed based on class such as general member and charge member, and service access right pursuant to this is endowed, so that certification of each member must follow by all means.

• Journal of Engineering Education Research
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• v.15 no.2
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• pp.10-19
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• 2012

The purpose of this study was to analyze job of e-learning quality managers based on the DACUM(Developing A Curriculum) method and to construct a task model of e-learning quality managers. A DACUM committee was composed to analyze job of e-learning quality managers and the committee members were total 12, those are one facilitator, 9 panel members, one recorder and one coordinator. The major findings of this study were as the followings; first, the number of job duty of e-learning quality managers were total 7, which were service planing, infrastructure building, of content developing, service evaluating, administration for quality managing, self-improvement. And total tasks of job of e-learning quality managers were 61. Second, 14 knowledge, 21 skill, 19 attitudes for e-learning quality managers were analyzed. Third, a task model of e-learning quality managers was constructed based on the results of DACUM job analysis.

• Journal of the Korea institute for structural maintenance and inspection
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• v.23 no.5
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• pp.48-59
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• 2019

In recent years, the type of bridge where cables such as suspension bridge and cable-stayed bridge are the main factors in the construction of long-range bridges has been soaring. The effects of cables on these structures are very large, and for structural analysis, it is necessary to study the cable and the structural changes according to the mode characteristics of the cables. In particular, cables are directly connected to camber adjustment, which conveys load effects on girders to tower, and are important components in the overall structure, and since the initial tension on the construction is compared with the tension over time, this study was conducted to help identify the condition of the bridge's aging and abnormalities. Therefore, in this study, the characteristics of the mode from the mode analysis through the impact hammer to the mass of the cable and the change in the length of the cable are analyzed.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.81-81
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• 2021

가뭄관련 의사결정 시 필요한 정보는 기상 현황 및 전망, 수원현황, 생공·농업 수요현황, 공급계통 등으로서 지자체담당자가 일일이 취득하기에는 번거롭고 어려운 업무라고 할 수 있다. K-water 국가가뭄정보분석센터에서는 이러한 지자체의 업무지원을 위하여 통합 가뭄의사결정 종합상황판을 개발하고 2021년 3월부터 정식오픈하였다. 2019년부터 서비스했던 이전 상황판에서 제공하지 못했던 정보들을 보다 상세하게 제공함으로써 지자체 담당자가 지역에서 발생되는 가뭄을 보다 효율적으로 파악하고 적절한 대응을 하는데 도움이 될 수 있도록 구성하였다. 통합 가뭄의사결정 종합상황판은 국가가뭄정보포털(https://www.drought.go.kr)에 접속하고 GPKI 인증서로 로그인을 하면 접근할 수 있다. 접속한 인증서의 지역을 기준으로 초기 정보가 제공되고 사용자가 선택한 지역을 기준으로 제공되는 정보가 동시에 변경되도록 되어 있어 원하는 지역의 가뭄 관련 정보를 획득하는데 매우 편리하다. 상황판은 다양한 분야의 정보를 요약해서 제공하는 메인화면과 각 분야의 상세 정보를 차트와 통계 형태로 제공하는 3개의 상세화면으로 구성되어 있다. 메인화면에서는 기상현황, 생활 및 공업 현황, 가뭄현황 및 전망, 가뭄대응과 관련된 통계정보와 현황정보를 제공하여 사용자는 해당지역의 가뭄현황을 통합적으로 판단할 수 있다. 특히, 중앙화면에 수원현황, 용수공급체계, 시설현황, 가뭄119정보를 GIS 인터페이스로 제공하여 사용자가 편리하게 속성정보를 획득할 수 있도록 되어 있다. 또한, 4개의 화면에서 제공하는 모든 정보는 Excel 파일로 다운로드하여 활용할 수 있도록 구성하여 담당자가 보고서 등 작성 시 매우 유용하게 활용할 수 있도록 개발하였다. 지자체담당자는 개선된 상황판을 활용함으로써 가뭄관련 업무 시 보다 손쉽게 관련 정보를 획득하고 대응할 수 있을 것으로 예상되며, 이는 가뭄을 실제 담당하는 지자체의 가뭄 대응능력 향상으로 귀결되어 국가적인 가뭄정책 추진 시 많은 도움이 될 것으로 기대된다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.191-193
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• 2022

The advent of the 4th Industrial Revolution due to the trigger of digital technologies such as artificial intelligence and big data has caused many changes in society, culture, and industry. However, traditional markets in each region are not responding quickly to new distribution environments and consumer changes. In particular, in the case of traditional markets in Jeju, regional characteristics such as marketing strategies for tourists visiting Jeju have not been utilized. Therefore, this study proposes the establishment of a smart traditional market based on big data and artificial intelligence that utilizes the regional characteristics of Jeju. The research contents include customer profiling through visitor big data analysis, providing tourist movement results through traffic analysis, providing real-time popular product charts, and developing video-based fire and crime prevention functions.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.141-150
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• 2012

This paper suggests a critical path search algorithm that can easily draw PERT/GANTT chart which manages and plans a project schedule. In order to evaluate a critical path that determines the project schedule, Critical Path Method (CPM) is generally utilized. However, CPM undergoes 5 stages to calculate the critical path for a network diagram that is previously designed according to correlative relationship and execution period of project execution activities. And it may not correctly evaluate $T_E$ (The Earliest Time), since it does not suggest the way how to determine the sequence of the nodes activities that calculate the $T_E$. Also, the sequence of the network diagram activities obtained from CPM cannot be visually represented, and hence Lucko suggested an algorithm which undergoes 9 stages. On the other hand, the suggested algorithm, first of all, decides the sequence in advance, by reallocating the nodes into levels after Breadth-First Search of the network diagram that is previously designed. Next, it randomly chooses nodes of each level and immediately determines the critical path only after calculation of $T_E$. Finally, it enables the representation of the execution sequence of the project activity to be seen precisely visual by means of a small movement of $T_E$ of the nodes that are not belonging to the critical path, on basis of the $T_E$ of the nodes which belong to the critical path. The suggested algorithm has been proved its applicability to 10 real project data. It is able to get the critical path from all the projects, and precisely and visually represented the execution sequence of the activities. Also, this has advantages of, firstly, reducing 5 stages of CPM into 1, simplifying Lucko's 9 stages into 2 stages that are used to clearly express the execution sequence of the activities, and directly converting the representation into PERT/GANTT chart.