• JSTS:Journal of Semiconductor Technology and Science
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• 제5권4호
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• pp.243-248
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• 2005

The UAV (Unmanned Aerial Vehicle) systems like unmanned autonomous helicopters are used in various missions of flight navigation and used to collect the environmental information of the surroundings. To realize the full functionalities of the UAV, the software part becomes a challenging problem. In this paper embedded real-time software architecture for unmanned autonomous helicopter is proposed that guarantee real-time performance of hard-real time tasks and re-configurability of soft-real time and non-real time tasks. The proposed software architecture has four layers: hardware, execution, service agent and remote user interface layer according to the reactiveness level for external events. In addition, the layered separation of concurrent tasks makes different kinds of mission reconfiguration possible in the system. An Unmanned autonomous helicopter system was implemented (Kyosho RC Helicopter) in our lab to test and evaluate the performance of the proposed system.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집B
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• pp.325-329
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• 2001

This paper addresses a control architecture for the hospital service robot, SmartHelper. With a sensing-reasoning-acting paradigm, the deliberation takes place at planning layer while the reaction is dealt through the parallel execution of operations. Hence, the system presents both a hierarchical and an heterarchical decomposition, being able to show a predictable response while keeping rapid reactivity to the dynamic environment. The deliberative controller accomplishes four functions which are path generation, selection of navigation way, command and monitoring. The reactive controller uses fuzzy and potential field method for robot navigation. Through simulation under a virtual environment IGRIP, the effectiveness of the control architecture is verified.

• 한국CDE학회논문집
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• 제14권5호
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• pp.338-345
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• 2009

c-PMS(collaborative project management system) is a business process(BP) based tool to manage collaborative projects which accomplish common business objectives determined by mutual agreement of companies using limited resources and time. This study analyzes collaborative BP, collaborative projects, and their relation, and proposes the architecture and operation scenario of c-PMS consisted of business process asset management(BPAM) sub-system and project manage(PM) sub-system. BPAM sub-system models private and public BP using a client/server based modeler, defines collaborative BPs process from public BPs, and manages them as companies' asset on a web portal. PM sub-system globally manages collaborative project using planning, execution, monitoring, and analyzing functions.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2017년도 전력전자학술대회
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• pp.136-137
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• 2017

Maximum power point tracking (MPPT) under partial shading condition (PSC) is a challenging process in the PV array system. The shaded PV panel makes different peak patterns on the P-V curve and misguides the MPPT algorithm. Various kinds of global MPP (GMPP) detecting algorithms are used to overcome this issue. Generally, too frequent execution of GMPP tracking algorithm reduces the achievable power of PV panel due to time spent on the scanning process. Thus, partial shading detection algorithm is essential for efficient utilization of solar energy source. While conventional method only detects fast shading patterns, the proposed algorithm always shows superb performance regardless of the speed of partial shading patterns.

• Journal of Information Processing Systems
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• 제14권3호
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• pp.607-620
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• 2018

The problem surrounding methods of implementing the software testing process has come under the spotlight in recent times. However, as compliance with the software testing process does not necessarily bring with it immediate economic benefits, IT companies need to pursue more aggressive efforts to improve the process, and the software industry needs to makes every effort to improve the software testing process by evaluating the Test Maturity Model integration (TMMi). Furthermore, as the software test process is only at the initial level, high-quality software cannot be guaranteed. This paper applies TMMi model to Automobile control software testing process, including test policy and strategy, test planning, test monitoring and control, test design and execution, and test environment goal. The results suggest improvement of the automobile control software testing process based on Test maturity model. As a result, this study suggest IT organization's test process improve method.

• 한국IT서비스학회지
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• 제8권3호
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• pp.159-169
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• 2009

The issue of method of software testing process implementation has recently been in the spotlight in korea and some vendor make every effort to improve the software testing process through the evaluation of TMMi. The level of software process is at initial level, nevertheless, so the high quality of software is not guaranteed. This paper apply to the TMMi Level2 Assessment criteria of Automobile control software testing process. The test policy and strategy, test planning, test monitoring and control, test design and execution, test environment goal. The result need to emerge development process connection on the test policy and strategy process, test planning process etc. Also, the study analyzed the infra structure to reach the repeated level via key process area. As the result the process implementation in organization suggests the policy development and the implementation activity. Finally, the practical can refer to this paper in order to implementation the software testing process.

• 한국정보전자통신기술학회논문지
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• 제12권5호
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• pp.521-528
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• 2019

Epilepsy is one of the most prevalent neurological diseases. Electroencephalogram (EEG) signals are widely used for monitoring and diagnosis tool for epileptic seizure. Typically, a huge amount of EEG signals is needed, where they are visually examined by experienced clinicians. In this study, we propose a simple automatic seizure detection framework using intracranial EEG signals. We suggest a sparse approximation based classification (SAC) scheme by solving overdetermined system. L1-norm minimization algorithms are utilized for efficient sparse signal recovery. For evaluation of the proposed scheme, the public EEG dataset obtained by five healthy subjects and five epileptic patients is utilized. The results show that the proposed fast L1-norm minimization based SAC methods achieve the 99.5% classification accuracy which is 1% improved result than the conventional L2 norm based method with negligibly increased execution time (42msec).

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.351-354
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• 2019

우리의 제안시스템인 mobiAutoBot은 모바일 디바이스를 지원 가능한 인지 자동화 수준의 로보틱스 프로세스 자동화 소프트웨어의 개념모델이다. mobiAutoBot은 mobiAutoBot controller와 mobiAutoBot runner의 두 부분으로 구성되어 있다. mobiAutoBot controller는 모바일기기에 Job을 지시하고 모니터링 및 연동작업을 수행하며, 모바일 디바이스에 설치된 mobiAutoBot runner는 명령내린 작업을 수행한다. mobiAutoBot을 사용하면, 고가의 로보틱스 프로세스 자동화 기능을 저비용으로 구축가능하며, 모바일 디바이스를 포함한 다양한 응용분야에서 활용할 수 있다.

• 항공우주기술
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• 제13권2호
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• pp.29-37
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• 2014

지상에서 위성의 상태를 파악하기 위해 텔레메트리, 위성 이벤트, 위성 오류 정보를 활용할 수 있다. 텔레메트리는 단순히 파라미터의 값을 나타내는 반면 이벤트 및 오류 정보는 특정 동작 및 상태를 명시적으로 나타낸다. 특히 이벤트는 지상 명령 수행 정보도 저장하므로 상태의 기록 뿐아니라 특정 조치의 내용도 포함한다. 기존에는 이러한 정보들을 지상에서 운영자가 취합 하여 위성의 상태 확인에만 수동적으로 사용 하였다. 그러나 최근 개발되는 위성의 수가 늘어나면서 지상에서 확인해야 할 정보의 양이 급격히 증가함에 따라 운영의 부담이 증가하고 있다. 또한 위성에 문제 발생 시 신속한 조치가 중요한데 운영자가 개발자에게 문제 보고 및 조치를 취하는 과정에서 시간 지연이 발생하게 된다. 이에 본 논문에서는 위성에서 연속적으로 발생하는 이벤트 시퀀스를 내용에 따라 구분하여 수집, 저장하여 특정 이벤트 발생 시 지상에서 취해야 할 동작을 추천 혹은 자동 수행하는 위성 운영 지원 시스템을 제안한다. 이는 이벤트 정보를 능동적으로 활용하는 시스템으로 지상과의 교신 시간이 제한적인 저궤도위성의 오류 자동 복구 절차에도 활용할 수 있다.

• 한국컴퓨터정보학회논문지
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• 제25권3호
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• pp.89-96
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• 2020

본 논문은 시스템 내부에서 소프트웨어 오류가 발생하였을 경우 컨트롤러 내의 Watchdog Timer를 이용하여 시스템의 상태를 오류 발생시점 이전 상태로 복구하는 시스템을 설계 구현하고, 하드웨어 오류 발생 시 별도의 리셋 회로를 통해 시스템을 재실행할 수 있는 기술을 제안한다. 제안 시스템은 외부 지원 없이 시스템 자체적으로 반영구적으로 작동 할 수 있도록 함으로써, 시스템의 안정적인 작동, 유지비용 절감 및 신뢰성을 제공하며, 고 신뢰성 응용분야에서 요구되는 자가 동작, 진단 및 복구 기능을 통한 시스템의 항상성 유지를 위한 적용이 가능하다.