• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.7
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• pp.507-514
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• 2022

The EO/IR targeting pod mounted on a fighter to acquire information about tactical targets is typically mounted and operated at the bottom of the aircraft fuselage. Since the aircraft equipped with such an external attachment has complexed aerodynamic and inertial characteristics compared to the aircraft flying without an external attachment, a method of system performance analyses is required to identify development risk factors in the early stages of development and reflect them in the design. In this study, a development plan was presented to provide the necessary modeling and simulation tools to develop a pod that can acquire measurement data stably in a highly maneuverable environment. The limiting operating conditions of the pods mounted on the highly maneuverable aircraft were derived, the aerodynamics and inertial loads of the mounted pods were analyzed according to the limiting operating conditions, and a flight data generation and transmission system were developed by simulating the mission of the aircraft equipped with the mounted pods.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.6
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• pp.779-788
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• 2013

The load requirements should be known to design mechanical structure. This paper proposes a generation method of load requirements using U.S. military specification to design the external mounting structure of the helicopters of which the flight environments such as aerodynamic forces and inertia forces are unknown. In this study, the load requirements which were applied at the design of the pod structure for helicopter captive flight test could be computed by using this method. The validation of proposed method was confirmed from the test flight using developed pod system.

• Journal of Aerospace System Engineering
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• v.15 no.1
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• pp.72-79
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• 2021

In this study, as part of the development of an autonomous flying personal aircraft, an equivalent model of the main wing assembly of an Optionally Piloted Personal Air Vehicle (OPPAV) was developed. Reliability of the developed equivalent model was verified by eigenvalue analysis. The main wing assembly consisted of a main wing, an inboard pod, and an outboard pod. First, for developing an equivalent model of each component, components to produce the equivalent model were divided into several sections. Nodes were then created on the axis of the equivalent model at both ends of each section. In addition, static analysis with unit force and unit moment was performed to calculate the deformation or the amount of rotation at the node to be used in the equivalent model. Equivalent axial, bending, and torsional stiffness of each section were calculated by applying the beam theory. Once the equivalent stiffness of each section was calculated, information of a mass and moment of inertia for each section was entered by creating a lumped mass in the center of each section. An equivalent model was developed using beam element. Finally, the reliability of the developed equivalent model was verified by comparison with results of mode analysis of the fine model.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.45-48
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• 2020

최근 마이크로서비스 아키텍처(Microservice Architecture)를 도입하는 프로젝트가 많아짐에 따라 컨테이너 오케스트레이션 도구인 쿠버네티스의 필요성이 증대되고 있다. 쿠버네티스 환경을 구성하고 서비스를 테스트 및 배포하기 위해서는 클러스터링을 하고 yaml파일을 작성하고 적용하여 자원을 생성하는 등의 작업이 필요하다. 이렇게 반복되는 작업을 자동화하기 위해 기존에는 쉘스크립트를 사용하는데, 이를 사용하기 위해서는 쿠버네티스 및 인프라에 관한 기초지식이 있어야 하는 문제점이 있다. 본 논문에서는 마이크로서비스를 위한 웹 기반의 배포 시스템을 제안한다. 웹을 통해 배포하고 테스트할 수 있어 기초지식이 없어도 사용할 수 있다. 웹에서 프로젝트 개발자로부터 도커 이미지와 사용할 포트번호 및 레플리카 개수를 입력받아 배포를 요청하면 쿠버네티스 환경에 배포하고, 필요한 자원들이 배포가 완료되면 엔드포인트를 제공한다. 그리고 배포된 서버의 엔드포인트에 요청을 전송하고 응답이 오는 것을 확인할 수 있어 활용성이 높다. 이 시스템은 쿠버네티스를 이용하여 복수 개의 파드(Pod)를 유지하여 가용성을 보장하고 빠르게 배포가 가능하게 한다. 또한 이미지가 업데이트되면 웹에서 요청하여 클러스터에 새 버전의 이미지로 배포한다.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.4
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• pp.105-112
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• 2022

Recently, many studies using reinforcement learning-based autoscaling have been performed to make autoscaling policies that are adaptive to changes in the environment and meet specific purposes. However, training the reinforcement learning-based Horizontal Pod Autoscaler(HPA) policy in a real environment requires a lot of money and time. And it is not practical to retrain the reinforcement learning-based HPA policy from scratch every time in a real environment. In this paper, we implement a reinforcement learning-based HPA in Kubernetes, and propose a transfer leanring technique using a queuing model-based simulation to accelerate the training of a reinforcement learning-based HPA policy. Pre-training using simulation enabled training the policy through simulation experience without consuming time and resources in the real environment, and by using the transfer learning technique, the cost was reduced by about 42.6% compared to the case without transfer learning technique.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.772-773
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• 2023

클라우드 네이티브(Cloud Native) 환경인 쿠버네티스(Kubernetes)에서 컨테이너(Container)는 가볍고 배포 주기가 빠르기 때문에, 쿠버네티스에서 상태를 지속적으로 모니터링하는 시스템이 필요하다. 쿠버네티스는 파드(Pod)를 기본 단위로하여 다수의 컨테이너를 관리·감독한다. 쿠버네티스 모니터링을 위해 프로메테우스는 주기적으로 메트릭을 수집하며 많은 양의 정보를 빠르게 검색한다. 이를 활용하여 쿠버네티스를 모니터링 한다.