• The Journal of Korea Robotics Society
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• v.17 no.2
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• pp.118-123
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• 2022

We implemented a real-time cloud robotics application by offloading robot navigation engine over to 5G Mobile Edge Computing (MEC) sever. We also ran a fleet management system (FMS) in the server and controlled the movements of multiple robots at the same time. The mobile robots under the test were connected to the server through 5G SA network. Public 5G network, which is already commercialized, has been temporarily modified to support this validation by the network operator. Robot engines are containerized based on micro-service architecture and have been deployed using Kubernetes - a container orchestration tool. We successfully demonstrated that mobile robots are able to avoid obstacles in real-time when the engines are remotely running in 5G MEC server. Test results are compared with 5G Public Cloud and 4G (LTE) Public Cloud as well.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.943-944
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• 2009

본 논문은 임의의 호스트의 실행 환경과 리소스에 대한 변경 없이 독립적으로 응용 프로그램 수준의 가상화를 제공하는 단일 실행 파일을 가지는 이동형 SW의 제공 방법에 대하여 소개한다. 이는 실행 포맷 변환기를 통하여 설치형 SW에서 추출된 이동형 SW 정보를 본 논문에서 제공하는 응용 파일 시스템에 구축하고, 이를 실행하기 위하여 윈도우 기반 시스템에서 사용자 레벨의 라이브러리 후킹 기술을 이용한 가상 실행 라이브러리와, 이 가상 실행 라이브러리를 실제 구동되는 이동형 SW 프로세스에 바인딩하여 실행시키게 하는 실행 엔진 모두를 하나의 파일에 제공하는 방법 대하여 기술한다

• Journal of IKEEE
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• v.23 no.4
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• pp.1230-1235
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• 2019

In this paper, we have developed sensor composited heater of 2-pin, and unified the fuel filter. In order to evaluate the performance of the 2-pin sensor composited fuel heater, we have make of the low temperature fluidity system. The one measure and analysis the electrical and oil flow quantity characteristics at an input and out port of 2-pin sensor composited fuel heater. Especially, in the characteristics verification elements of the proposed goods, we use the test chamber for the temperature variable and oil flow quantity test, and designed an embedded system for interfacing an engine. By interfacing both user and the system, it support an experimental and date gathering function in 2-pin sensor composited fuel filter. And then test the temperature, oil pressure, electrical characteristics and oil flow quantity in variable status from - 30 ℃ to + 80 ℃. These can help us to determine the quality and performance of elementary goods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.05a
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• pp.547-550
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• 2009

This paper presents a digital based input/output interface circuit for controlling and monitoring the Diesel Engine Generator for Emergency. In order to monitor and control of the Emergency Diesel Engine Generator, controlling and monitoring circuits need 5 analog input channels, 2 pick-up coil measuring circuits, 10 digital input channels containing Broken Wire Detect function, and 7 relay control signal output channels. This system performs signal processing of input signal taking advantage of simple filter circuit, photo-coupler and comparator circuit at analog input parts, and output signals for main relay is designed acting by double control, so it prevents malfunction completely. And it improves accuracy of speed input signal by applying digital circuit that processes pick-up coil signal.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.3C
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• pp.314-322
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• 2007

This paper proposes a new optimization algorithm named by GBNSGA(Goal-Pareto Based Non-dominated Sorting Genetic Algorithm) which determines the best configuration for CR(Cognitive Radio) communication systems. Conventionally, in order to select the proper radio configuration, genetic algorithm has been introduced so as to alleviate computational burden along the execution of the cognition cycle proposed by Mitola. This paper proposes a novel optimization algorithm designated as GBNSGA for cognitive engine which can be described as a hybrid algorithm combining well-known Pareto-based NSGA(Non-dominated Sorting Genetic Algorithm) as well as GP(Goal Programming). By conducting computer simulations, it will be verified that the proposed method not only satisfies the user's service requirements in the form of goals. It reveals the fast optimization capability and more various solutions rather than conventional NSGA or weighted-sum approach.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.840-845
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• 2006

본 연구는 수리.수문 모형화에서의 시공간 자료 분석기술 개발에 관한 연구로서, 국내 GIS엔진인 GeoMania를 기반으로 하여 개발된 HyGIS와 수리.수문 연계모형을 확립하였으며, 주요 연구 결과로, 현재 국내에서 가장 보편적이고 광범위하게 적용되고 있는 HEC-HMS 모형과 HEC-RAS 모형을 선정하여 사용자의 편의성을 도모하고, 모형의 입 출력 구조, GIS와의 연계방안 등을 분석하여 제시하였다. 또한 HyGIS-HMS 모형과 HEC-RAS 모형의 개발은 국내 GIS엔진인 GeoMania-Pro와 Add-ON 방식으로 연계되어 구동되며, 입력자료는 GeoMania-Pro 프로그램 상에서 GUI에 의한 대화식으로 구성되었다. 하나의 시스템 상에서 DEM의 구축과 종합적인 유역분석 및 체계적인 하천에 대한 지형학적 자료구축과정을 제시하였고, 국내 하천유역 및 하도망의 Geo DB와 연계되는 시스템으로 구성하였다. Thiessen 계수 계산 결과에 신뢰성을 제고하였고, CN값 구성과정은 국내 유역상황과 자료구축과정에 적합하도록 개발하였다. 또한, GRID를 이용한 하천에 대한 지형학적 자료구축 과정에 있어 보다 정확한 계산이 가능하도록 구성되었고, HyGIS-HMS 모형 및 HyGIS-RAS 모형에 대한 입력자료의 구성이 편리하도록 GUI를 이용한 입력자료 구성 모듈이 적용되었고, 이러한 입력자료가 파일로 구성이 되어 각 모형에 적용될 수 있는 형태로 구성되었다. 본 연구는 HEC-HMS 및 HEC-RAS를 이용한 HyGIS-HMS 모형과 HyGIS-RAS 모형을 개발함로써 국내유역에 대한 수리 수문 모델링시 사용자들이 하나의 GIS 엔진상에서 필요한 제반사항을 모두 구현할 수 있도록 구성되어, 엔지니어링 회사, 수자원기술자, 수자원관련 연구자들에 의해서 활용될 수 있을 것이다.이 보다 향상될 것이다.>에서 $0.0190m^3/s$로, 갈수량$(Q_{355})$은 $0.0176m^3/s$에서 $0.0189m^3/s$로 약 7%가 증가하는 것으로 분석되었다. 결과로부터 침투 트렌치는 저수량 및 갈수량을 증가시키는 보조수단이 될 수 있다.해 보았다. 뿐만 아니라 이와 관련된 수문요소기술을 확보할 수 있을 것이다.역의 물순환 과정을 보다 명확히 규명하고자 노력하였다.으로 추정되었다.면으로의 월류량을 산정하고 유입된 지표유량에 대해서 배수시스템에서의 흐름해석을 수행하였다. 그리고, 침수해석을 위해서는 2차원 침수해석을 위한 DEM기반 침수해석모형을 개발하였고, 건물의 영향을 고려할 수 있도록 구성하였다. 본 연구결과 지표류 유출 해석의 물리적 특성을 잘 반영하며, 도시지역의 복잡한 배수시스템 해석모형과 지표범람 모형을 통합한 모형 개발로 인해 더욱 정교한 도시지역에서의 홍수 범람 해석을 실시할 수 있을 것으로 판단된다. 본 모형의 개발로 침수상황의 시간별 진행과정을 분석함으로써 도시홍수에 대한 침수위험 지점 파악 및 주민대피지도 구축 등에 활용될 수 있을 것으로 판단된다. 있을 것으로 판단되었다.4일간의 기상변화가 자발성 기흉 발생에 영향을 미친다고 추론할 수 있었다. 향후 본 연구에서 추론된 기상변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상승하지만, 이후로는 감소하므로, 반전거래전략을 활용하는 경우 주식투자기간은 24개월이하의 중단기가 적합함을 발견하였다. 이상의 행태적 측면과 투자성과측면의 실증결과를 통하여 한국주식시장에 있어서 시장수익률을 평균적으로 초과할 수 있는 거래전략은 존재하므로 이러한 전략을

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.8
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• pp.1491-1496
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• 2009

This paper presents an digital based input/output interface circuit for controlling and monitoring the Diesel Engine Generator for emergency. In order to monitor and control of the Emergency Diesel Engine Generator, controlling and monitoring circuits need 5 analog input channels, 2 pick-up coil measuring circuits, 10 digital input channels containing Broken Wire Detect function, and 7 relay control signal output channels. This system performs signal processing of input signal taking advantage of simple filter circuit, photo-coupler and comparator circuit at analog input parts, and output signals for main relay is designed acting by double control, so it prevents malfunction completely. And it improves accuracy of speed input signal by applying digital circuit that processes rick-up coil signal.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.41 no.6
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• pp.567-573
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• 2017

The drive shaft of passenger vehicle has an important role in transmitting the torque between the power train system and the wheels. Torsional fatigue failures occur generally in the connection parts of the spline edge of the drive shaft, when there is significant fatigue damage under repeated twisting loads. A heat treatment, an induction hardening process, has been adopted to increase the torsional strength as well as the fatigue life of the drive shaft. However, it is still unclear how the extension of the induction hardening process in a used material relates to its shear-strain fatigue life range. In this study, a shear-strain controlled torsional-fatigue test with a specially designed specimen was conducted by an electro-dynamic torsional fatigue test machine. A finite element analysis of the drive shaft was carried out using the results obtained by the fatigue experiment. The estimated fatigue life was verified through a twisting load test of the real drive shaft in a test rig.

• Journal of Korea Multimedia Society
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• v.14 no.2
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• pp.153-170
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• 2011

OMTP (Open Mobile Terminal Platform) is a global forum made by telecommunications providers to promote user-oriented mobile services and data business. Devised by OMTP, BONDI is a browser-based application or a mobile web run-time platform to help widgets make good use of functions of mobile devices in a secure way. BONDI enables applications programmed with web standard technologies such as HTML, JavaScript, CSS, and AJAX to reach the internal functions of mobile devices. Since BONDI, which is not just a simple network application, can reach the internal resources of devices in standard ways, it enables the application and widgets to be developed regardless of tile OS or platform. Web browser-based widgets are vulnerable to the network environment, and their exeeution speed can be slowed as the operations of the widgets or applications become heavy. However, those web widgets will be continuously used thanks to the user-friendly simple interface and the faster speed in using web resources more than the native widgets inside the device. This study suggested a method to effectively operate and manage the resource of OMTP BONDI web widget and then provided an improved result based on a running performance evaluation experiment. The experiment was carried to improve the entire operating time by enhancing the module-loading speed. In this regard, only indispensable modules were allowed to be loaded while the BONDI widget was underway. For the purpose, the widget resource list, able to make the operating speed of the BONDI widget faster, was redefined while a widget cache was employed. In addition, the widget box, a management tool for removed widgets, was devised to store temporarily idle widgets.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.49 no.10
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• pp.883-892
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• 2021

This paper provides a process for developing deep learning-based aerial object detection models that can run in realtime on onboard. To improve object detection performance, we pre-process and augment the training data in the training stage. In addition, we perform transfer learning and apply a weighted cross-entropy method to reduce the variations of detection performance for each class. To improve the inference speed, we have generated inference acceleration engines with quantization. Then, we analyze the real-time performance and detection performance on custom aerial image dataset to verify generalization.