• The Transactions of The Korean Institute of Electrical Engineers
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• v.68 no.1
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• pp.27-35
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• 2019

There is a growing interest in various microgrid solutions that supply electricity 24 hours a day to off-grid areas where are not connected with the main grid, and Korea has many positive effects by constructing overseas microgrids as a country operating the emission trading scheme. Since it is not clear how to obtain load curves that is one of the inputs of the HOMER used to design a microgrid optimization plan, or it is necessary to examine whether electricity is supplied to the peak load level of the areas where have not received the electricity benefits from the viewpoint of the demand management, a methodology should be developed to know the load composition ratio and the shape of the daily load curve. In this paper, the relative coefficient and average load information for each load group obtained from the survey are used besides peak load and total average load. A mathematical model is proposed to derive the load composition ratio in the form of a Quadratic Programming and the load forecasting is performed using simple linear regression with future indicators. The effectiveness of the proposed method is confirmed for the Philippine island region supported by Korea Energy Agency and the Asian Development Bank.

• Journal of Cadastre & Land InformatiX
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• v.48 no.2
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• pp.213-225
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• 2018

For constructing three-dimensional (3D) spatial information occlusion region problem arises in the process of taking the texture of the building. In order to solve this problem, it is necessary to investigate the automation method to automatically recognize the occlusion region, issue it, and automatically complement the texture. In fact there are occasions when it is possible to generate a very large number of structures and occlusion, so alternatives to overcome are being considered. In this study, we attempt to apply an approach to automatically create an occlusion region based on learning by patterning the blocked region using the recently emerging deep learning algorithm. Experiment to see the performance automatic detection of people, banners, vehicles, and traffic lights that cause occlusion in building walls using two advanced algorithms of Convolutional Neural Network (CNN) technique, Faster Region-based Convolutional Neural Network (R-CNN) and Mask R-CNN. And the results of the automatic detection by learning the banners in the pre-learned model of the Mask R-CNN method were found to be excellent.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.12
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• pp.1596-1603
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• 2018

Rapidly detecting and warning of fires is necessary for minimizing human injury and property damage. Generally, when fires occur, both the smoke and the flames are generated, so fire detection systems need to detect both the smoke and the flames. However, most fire detection systems only detect flames or smoke and have the disadvantage of slower processing speed due to additional preprocessing task. In this paper, we implemented a fire detection system which predicts the flames and the smoke at the same time by constructing a CNN model that supports multi-labeled classification. Also, the system can monitor the fire status in real time by using Grad-CAM which visualizes the position of classes based on the characteristics of CNN. Also, we tested our proposed system with 13 fire videos and got an average accuracy of 98.73% and 95.77% respectively for the flames and the smoke.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.53-71
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• 2019

As software systems become more complex and larger, software systems require a way to reuse software components or modules to provide new functionality. This paper designed a development method of web system combining SOA(Service Oriented Architecture) with MPSL(Multi-Software Product Line). According to provides SOA and MPSL, this paper suggested to service providers and service users to provide and reuse variable services. From the viewpoint of service provider, the suggested method identifies and implements reusable variable services as features by syntax-based, functional-based, and behavior-based methods applying feature identification guidelines and manages them as reuse assets. From the user's point of view, it is possible to develop a web system by constructing a service by workflow model as a method of structure and reconfigure services. As a result of measuring the reuse of the web system constructed in this paper by the function point, the cost reduction effect was verified by applying it to the similar project with the increase of reuse.

• Journal of Practical Engineering Education
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• v.10 no.2
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• pp.81-87
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• 2018

During the major sections of the network, Software-defined network control technology for the network area corresponding to the transmission network is becoming a change in network-controlled environments utilizing network operation and provisioning across the network industry. Currently development is underway along with the deployment of PTN equipment and configuration for provisioning is being phased out. It is actively introducing establishment of SDN-based control system while constructing provisioning of PTN equipment from actual commercial network. Therefore, in this thesis, we are going to look at the contents and trends of SDN systems in packet-based transmission networks based on PTN and use them in research on OpenDaylight, an open source for configuring SDN. It then Network Operator will study the software defined control techniques for operational education.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.349-357
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• 2020

In this paper, I propose a presentation examples of the development of teaching materials using Arduino. For this purpose, a six-step low-cost microcontroller teaching-learning development model was used, the steps being topic selection, exploration of implementation methods, experimentation, production of teaching and learning materials, implementing lesson plans, and improvement. After analyzing the composition of the source code and circuits introduced in the existing Arduino book, this content was reconstructed to fit the programming education context. A simple method of constructing a circuit using materials such as Arduino and a piezo buzzer is proposed to save time on circuit composition. Using this circuit, examples of use in teaching-learning activities for various programming content elements are presented. The core concept of this study is that it provides a direct experience of the content of C language programming exercises that can only be found on existing screens.

• The Journal of Sustainable Design and Educational Environment Research
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• v.19 no.4
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• pp.70-77
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• 2020

This study examines many preceding studies on school space, including the high school credit system, and attempts to present the importance after deriving the most appropriate factors when constructing an educational environment of the high school credit system. Based on the derived importance level, the purpose of this study was to provide information that is helpful for the implementation of the educational environment of the high school credit system in each school and to establish and present a model from an academic perspective by deriving the importance of the educational environment according to the high school credit system. As a research method, the importance of the educational environment was analyzed through the Analytic Hierarchy Process. The result of the analysis indicated that it is necessary to consider the interrelationship between the educational curriculum and the educational environment, which selectively and intensively performs functions and maximizes the effect according to the strategic importance of the educational environment.

• Journal of the Korea Society for Simulation
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• v.30 no.1
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• pp.31-42
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• 2021

In order to respond to the ballistic missile threat of North Korea, the ROK military is constructing a multi-layered defense that can minimize the vulnerability of single-layered defense. Accordingly, it is necessary to study an operation plan which can maximize the intercept rate of a multi-layered defense system. And to study the operation plan of the Korean missile defense system, it must be considered that the operational environment of the Korean military and the effects of the strategic strike system. Therefore, this study proposes a simulation model that reflects the characteristics of the Korean missile defense system and analyzes four interceptor missile operation plans. The simulation result indicates that a high intercept rate can be achieved in various situations by comprehensively considering the ballistic missile threat estimate, interceptor missile reserve, and the strategic strike system effect.

• Nuclear Engineering and Technology
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• v.54 no.8
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• pp.3059-3072
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• 2022

A Jacobian-Free Newton Krylov Two-Nodal Coarse Mesh Finite Difference algorithm based on Nodal Expansion Method (NEM_TNCMFD_JFNK) is successfully developed and proposed to solve the three-dimensional (3D) and multi-group reactor physics models. In the NEM_TNCMFD_JFNK method, the efficient JFNK method with the Modified Incomplete LU (MILU) preconditioner is integrated and applied into the discrete systems of the NEM-based two-node CMFD method by constructing the residual functions of only the nodal average fluxes and the eigenvalue. All the nonlinear corrective nodal coupling coefficients are updated on the basis of two-nodal NEM formulation including the discontinuity factor in every few newton steps. All the expansion coefficients and interface currents of the two-node NEM need not be chosen as the solution variables to evaluate the residual functions of the NEM_TNCMFD_JFNK method, therefore, the NEM_TNCMFD_JFNK method can greatly reduce the number of solution variables and the computational cost compared with the JFNK based on the conventional NEM. Finally the NEM_TNCMFD_JFNK code is developed and then analyzed by simulating the representative PWR MOX/UO₂ core benchmark, the popular NEACRP 3D core benchmark and the complicated full-core pin-by-pin homogenous core model. Numerical solutions show that the proposed NEM_TNCMFD_JFNK method with the MILU preconditioner has the good numerical accuracy and can obtain higher computational efficiency than the NEM-based two-node CMFD algorithm with the power method in the outer iteration and the Krylov method using the MILU preconditioner in the inner iteration, which indicates the NEM_TNCMFD_JFNK method can serve as a potential and efficient numerical tool for reactor neutron diffusion analysis module in the JFNK-based multiphysics coupling application.

• Journal of Korean Society of Rural Planning
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• v.28 no.2
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• pp.87-96
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• 2022

As part of strengthening energy security and responding to climate change, the government has promoted various renewable energy measures to increase the development of renewable energy facilities. As a result, small-scale solar installations in rural areas have increased rapidly. The number of complaints from local residents is increasing. Therefore, in this study, deep learning technology is applied to high-resolution aerial images on the internet to detect solar power plants installed in rural areas to determine whether or not solar power plants are installed. Specifically, I examined the solar facility detector generated by training the YOLO(You Only Look Once) v2 object detector and looked at its usability. As a result, about 800 pieces of training data showed a high object detection rate of 93%. By constructing such an object detection model, it is expected that it can be utilized for land use monitoring in rural areas, and it can be utilized as a spatial data construction plan for rural areas using technology for detecting small-scale agricultural facilities.