• Journal of Platform Technology
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• v.10 no.3
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• pp.51-59
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• 2022

Machine learning, which has recently innovatively developed, has become an important technology that can solve various optimization problems. In this paper, we introduce the latest research papers that solve the problem of channel sharing in heterogeneous networks using machine learning, analyze the characteristics of mainstream approaches, and present a guide to future research directions. Existing studies have generally adopted Q-learning since it supports fast learning both on online and offline environment. On the contrary, conventional studies have either not considered various coexistence scenarios or lacked consideration for the location of machine learning controllers that can have a significant impact on network performance. One of the powerful ways to overcome these disadvantages is to selectively use a machine learning algorithm according to changes in network environment based on the logical network architecture for machine learning proposed by ITU.

• Journal of the Society of Disaster Information
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• v.17 no.4
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• pp.769-777
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• 2021

Purpose: Earthquake disasters are frequently occur unpredictable situations due to various variables and unexpected situations. As a result, the work process itself is not uniform, making it difficult for public officials in the disaster safety department to familiarize themselves with the earthquake field manual. This paper is specifically and accurately grasp the current work situation conducted by the Disaster and Safety Countermeasures Headquarters of the Gyeongsangbuk-do Office and present a plan for designing serious game scenarios necessary for field manual learning. Method: In this study, scenarios were designed based on the GBS(Goal Based Scenario) model, and in the process of assigning missions and roles based on the Gyeongsangbuk-do earthquake field manual, public officials related to earthquakes were able to acquire knowledge and skills to solve practical tasks. Result: Scenario data of the proposed technique was implemented as a systematic procedure by processing various earthquake-related information into logical data and simplifying and abstracting it for game expression for earthquake situation training. Conclusion: In the event of an earthquake due to learning through serious games, related public officials of Gyeongsangbuk-do provincial are expected to be able to respond quickly to various earthquake disasters.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.29-35
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• 2023

In this paper, we propose a SW-EDU bot, a chatbot learning model for coding education by using a chatbot system. The same scenario-based models are created on the basis of Dialogflow and Kakao i Open Builder, which are representative chatbot builders. And then a SW-EDU bot is designed and implemented by selecting the builder more appropriate to our purpose. The implemented chatbot system aims to learn effective learning methods while encouraging self-direction of users by providing learning type selection, concept learning, and problem solving by difficulty level. In order to compare the usability of chatbot builders, five indicators are selected, and based on these, a builder with a comparative advantage is selected, and SW-EDU bot is implemented based on these. Through usability evaluation, we analyze the feasibility of SW-EDU bot as a learning support tool and confirm the possibility of using it as a new coding education learning tool.

• Journal of Convergence for Information Technology
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• v.7 no.6
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• pp.245-251
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• 2017

This presents an English conversation training system with which learners train their conversation skills in English, which makes them converse with native speaker characters in a virtual reality environment with voice. The proposed system allows the learners to talk with multiple native speaker characters in varous scenarios in the virtual reality environment. It recongizes voices spoken by the learners and generates voices by a speech synthesis method. The interaction with characters in the virtual reality environment in voice makes the learners immerged in the conversation situations. The scoring system which evaluates the learner's pronunciation provides the positive feedback for the learners to get engaged in the learning context.

• Proceedings of the CALSEC Conference
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• 1999.07b
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• pp.597-605
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• 1999

전사적 자원 관리 또는 기업 통합 정보시스템으로 해석되는 ERP(Enterprise Resource Planning) 시스템이 최근 들어 널리 확산되고 있으며, 향후 그 정도가 커질 것으로 예상되고 있어, ERP에 관한 지식을 가진 인력의 요구가 증대되고 있는 실정이다. 이와 같은 필요성을 충족시키기 위해, 본 연구에서는 가상 기업을 대상으로 한 시나리오를 바탕으로 기본적인 업무 흐름과 ERP를 통해 처리될 때의 과정을 업무프로세스, 사용자 화면 및 동영상을 통해 학습할 수 있는 교육시스템을 개발하였다. 본 연구에서 개발된 교육시스템은 크게 ERP 개요, ERP 사용법, 비즈니스 프로세스, 적합화(Customization)의 4부분으로 구성되어 있으며, 향후 Web 환경에서도 쉽게 사용될 수 있도록 수정될 경우 교육의 효과가 클 것으로 기대된다.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.2
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• pp.231-240
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• 2023

It remains a challenge for robots to learn avoiding obstacles automatically in path planning using deep reinforcement learning (DRL). More and more researchers use DRL to train a robot in a simulated environment and verify the possibility of DRL to achieve automatic obstacle avoidance. Due to the influence factors of different environments robots and sensors, it is rare to realize automatic obstacle avoidance of robots in real scenarios. In order to learn automatic path planning by avoiding obstacles in the actual scene we designed a simple Testbed with the wall and the obstacle and had a camera on the robot. The robot's goal is to get from the start point to the end point without hitting the wall as soon as possible. For the robot to learn to avoid the wall and obstacle we propose to use the double deep Q networks (DDQN) to verify the possibility of DRL in automatic obstacle avoidance. In the experiment the robot used is Jetbot, and it can be applied to some robot task scenarios that require obstacle avoidance in automated path planning.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.4
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• pp.179-188
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• 2022

There have been many successful researches on a bearing fault diagnosis based on Deep Learning, but there is still a critical issue of the data distribution difference between training data and test data from their different working conditions causing performance degradation in applying those methods to the machines in the field. As a solution, a data adaptation method has been proposed and showed a good result, but each and every approach is strictly limited to a specific applying scenario or presupposition, which makes it still difficult to be used as a real-world application. Therefore, in this study, we have proposed a method that, using a data transformation with MFCCs and a simple CNN architecture, can perform a robust diagnosis on a target domain data without an additional learning or tuning on the model generated from a source domain data and conducted an experiment and analysis on the proposed method with the CWRU bearing dataset, which is one of the representative datasests for bearing fault diagnosis. The experimental results showed that our method achieved an equal performance to those of transfer learning based methods and a better performance by at least 15% compared to that of an input transformation based baseline method.

• Korean Journal of Comparative Education
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• v.24 no.5
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• pp.53-70
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• 2014

This study was performed in order to suggest the future model of Asian universities that could be used in the planning of the global competitive strategy. Futurologists forecasted the future of higher education using Harman Fan Scenario as like this. First, most current universities will be 'the satellite university' until 2015. Second, they also will replace 'the bookless university' until 2020. Third, they will be 'no calendar university' until 2025. And then they may be 'all have access university' until 2030. After 2030, futurologists prospected that almost universities based on off-line campus will be disappeared into the history. The analysis method of Harman fan scenario and applied scenarios were also used to "A study on the future scenario of Korean university". The predictive model and the alternative models were explored in a view point of students, enterprise, and government. Individuality with educational excellence are standardized for learner, profit and effectiveness are applied for enterpriser, and equality with welfare are adapted for national leader. Asian universities need to focus on bringing up the practical ability based on conscious and emotional education instead of knowledge based on memory. Also they need to enforce the specialized education that can create new jobs through convergence of interdisciplinary. Especially, Asian nations need to explore, to find the strengthen area of their universities compared with USA. And these area should be specialized. The convergency strategy between oriental medicine and informatics is a meaningful sample. Based on this point, a predicted with 3 alternative scenarios in a view point of equality were suggested for the future of Asian universities.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.223-231
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• 2020

The aim of this study was to develop and apply a nursing process simulation scenario for cerebral infarction patients using HPS for nursing students. The effects of this simulation were evaluated and compared with the effects of traditional teaching methods. This study was conducted on 3rd grade students at the College of Nursing from December 7 to December 26, 2018. This study examined 38 subjects in the experimental group and 39 in the control group. This research went through the analysis phase, design phase, and development phase for the development and application of the scenario. The confidence, knowledge, and performance before and after the intervention in the experimental and control groups were analyzed using a t-test. This study developed a simulation scenario based on a nursing process for cerebral infarct patients and was designed to infer three nursing diagnoses. Both groups showed significant pre-post scores except for the clinical performance. The experimental group had higher post-score scores and greater difference between the post-test and pre-test. This study is meaningful in that a standardized scenario of nursing process of infarct patients was developed. In addition, the developed scenario shows the possibility of developing teaching and learning methods that can integrate theoretical learning and practice.

• Journal of Korea Game Society
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• v.17 no.2
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• pp.145-154
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• 2017

In the age of low fertility and aging society, youth suicide is not the problem of a certain class but it should be recognized as an urgent and important social problem to be solved by our society. We aim to support the training of youth gatekeeper who can acquire the right attitude and understanding of suicide for adolescents, detect premature suicide signs of peer friends and link them to specialized institutions. In this paper, we propose a scenario based learning program that is linked to the concrete situation that the young people can sympathize with and a serious educational game of visual novel type that encourages participation of youth. We expect that the proposed serious game will improve the accessibility of educational facilities and youths through smart devices.