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The Study on analysis methodology of optimal performance and quantity for Mission-Based drones (임무 기반 드론의 최적성능 및 소요량 분석 방법론 연구)

  • Ha, Young-Seok
    • Journal of Internet Computing and Services
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    • v.21 no.1
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    • pp.231-236
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    • 2020
  • This paper addresses the analysis method about optimal performance and required quantity for Mission-Based drones. In the case of drones, although scientific verification of operational performance and quantity of demanded, such as total flight time, total operation time, and appropriate required quantity, is required depending on the operation concept, there is no methodology for analyzing them systematically. That is the reason this research was carried out. Through the suggestion and study about Mission-Based six step analysis method and, this study can present the optimal ROC (Required Operational Capability) and the required quantity based on the operational concept of drones, and technical and economic effects were suggested.

A Study on Defect Diagnostics of Gas-Turbine Engine on Off-Design Condition Using Genetic Algorithms (유전 알고리즘을 이용한 탈 설계 영역에서의 항공기용 가스터빈 엔진 결함 진단)

  • Yong, Min-Chul;Seo, Dong-Hyuck;Choi, Dong-Whan;Roh, Tae-Seong
    • Journal of the Korean Society of Propulsion Engineers
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    • v.12 no.3
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    • pp.60-67
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    • 2008
  • In this study, the genetic algorithm has been used for the real-time defect diagnosis on the operation of the aircraft gas-turbine engine. The component elements of the gas-turbine engine for consideration of the performance deterioration consist of the compressor, the gas generation turbine and the power turbine. Compared to the on-design point, the teaming data has been increased 200 times in case off-design conditions for the altitude, the flight mach number and the fuel consumption. Therefore, enormous learning time has been required for the satisfied convergence. The optimal division has been proposed for learning time decrease as well as the high accuracy. As results, the RMS errors of the defect diagnosis using the genetic algorithm have been confirmed under 5 %.

Generation and Recognition Language Model for Spoken Language Parser (구어파서를 위한 생성 인식 언어모델)

  • Jeong, Hong;Hwang, Kwang-Il
    • Annual Conference on Human and Language Technology
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    • 1999.10e
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    • pp.167-172
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    • 1999
  • 구어는 프로그래밍 언어와는 달리 주어진 문장 내에서의 해당 어휘의 뜻(semantic information)을 알고 다른 어휘들과의 연관성 (grammatical information)을 알아야만 적절한 형태소분석이 가능하다. 또한 구어는 방대한 양의 어휘들로 구성되어 있으며 사용하는 사람마다의 다양한 응용과 공식화되기 어려운 수많은 예외들로 운용되기 때문에 단순히 찾아보기표와 오토마타만으로는 형태소분석에 한계가 있다. 이에 본 논문에서는 주어진 어휘집과 그 어휘들로 만들어진 다양한 문장들로부터 구어운용의 근본기제를 스스로 학습해나가는 강화학습중심의 언어모델을 제안하고 실제로 한국어 형태소분석에 적용하여 그 성능과 특성을 파악해보았다. 구어파서의 입력은 음절단위의 발음이며 인간이 문장을 듣거나 보는 것과 동일하게 시간에 따라 순차적으로 입력된다. 파서의 출력 또한 시간에 따라 변화되면서 나타나며 입력된 연속음절을 형태소단위로 분리(segmentation)하고 분류(labeling)한 결과를 나타낸다. 생성인식 언어모델이 기존의 언어모델과 다른 점은 구어 파싱에 있어서 필수적인 미등륵어에 대한 유연성과 앞단의 음성인식기 오류에 적절한 반응(fault tolerance)을 나타내는 것이다.

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Design of the Java-based Call Control System for CTI(Computer Telephony Integration) Service (컴퓨터 통합형 전화서비스를 위한 Java 기반의 호제어 시스템 설계)

  • 유창열;복혁규;최재원
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.1
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    • pp.97-102
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    • 2003
  • In this paper it Is to suggest that beyond the Previous communication concept of exchange, transmission mounting. and terminal , the call control system function should be added to the call control exchange server, to make an external telephone call available through the internet by connecting the interior line and the Internet. The function evaluation of call control system is found to become stable when the callers are 10 rather than 20 above, as a result of the more than ten times repeated concurrent calls. Furthermore, the evaluation shows that the program responds Quickly within a second, even when there are more than 100 callers as well as secures a stable system operation and mutual inter-feasibility due to a fast connectivity and a superb function.

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KRISS와 MMIA 양방향시각비교 교정

  • Yang, Seong-Hun;Lee, Yeong-Gyu;Lee, Seung-U;Han, Ji-Ae;Lee, Chang-Bok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.2
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    • pp.479-481
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    • 2006
  • 1967년 시간의 기본 단위인 초가 세슘원시계에 의해 정의된 이후, 각 국의 표준기관에서는 보다 정확한 원자시계개발 연구와 평가를 수행하고 있다. 이러한 연구는 정확한 시간척도(Time Scale)와 국제원자시를 생성하여 산업과 과학분야에 기여하기 위한 것이며, 이에 필연적으로 국제간 시각비교 개선을 위한 연구도 함께 발전되어 왔다. 전파를 이용한 시각비교는 지상파를 이용하던 70년대 초부터 시작되었는고 1981년부터 GPS에 의한 시각비교 방법이 소개된 이후, 80년대 후반에 들어서면서 GPS 활성화에 따라 급격히 시각비교 정확도가 향상되었다. 그러나 GPS와 더불어 통신위성을 이용한 양방향 시각비교(TWSTFT)의 필요성에 따라 세계 선진 표준기관들은 이 방법을 수행하고 있다. 한국표준과학연구원(KRISS)에서도 통신위성을 이용한 양방향시각비교를 구축하여 운용하고 있으며 아시아, 오세아니아, 유럽지역과 비교를 할 수 있는 시스템을 구축하여 운용하고 있다. 본 논문에서는 PAS-8위성을 이용한 KRISS와 NMIA(호주)와 양방향시각비교를 수행함에 있어 필수적으로 계산 또는 측정하여야하는 오프셋값을 결정방법으로 GPS와 Circular-T를 이용하여 산출한 결과를 제시한다.

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Comparison study of CPU processing load by I/O processing method through use case analysis (유즈케이스를 통해 분석해 본 I/O 처리방식에 따르는 CPU처리 부하 비교연구)

  • Kim, JaeYoung
    • Journal of Aerospace System Engineering
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    • v.13 no.5
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    • pp.57-64
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    • 2019
  • Recently, avionics systems are being developed as integrated modular architecture applying the modular integration design of the functional unit to reduce maintenance costs and increase operating performance. Additionally, a partitioning operating system based on virtualization technology was used to process various mission control functions. In virtualization technology, the CPU processing load distribution is a key consideration. Especially, the uncertainty of the I/O processing time is a risk factor in the design of reliable avionics systems. In this paper, we examine the influence of the I/O processing method by comparing and analyzing the CPU processing load by the I/O processing method through use of case analysis and applying it to the example of spatial-temporal partitioning.

A Study on the Application and Analysis of FPV Drones Using Virtual Reality (가상현실을 활용한 FPV드론에 대한 분석 및 활용분야에 대한 연구)

  • Kang, Sung-Jun;Song, Eun-jee
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.312-314
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    • 2021
  • The government sees drones as a key future growth engine, prepares plans to foster the nation-led drone industry, conducts pilot projects in various fields, such as transporting goods, forest protection, monitoring, facility safety diagnosis, and is actively in the use of drones. In particular, the police are attempting to use drones to search for missing people. However, existing drones have a short operating time due to the limitation of battery time. The effectiveness of the existing drones is insufficient because it has no choice but to search by aerial photography on the mountain tops in hillside or dense forest. In this study, we propose an FPV drone that utilizes virtual reality as a drone that can overcome the limitations of searching for missing people.

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Main-Memory Based Spatial Data Manager for Mobile Service (모바일 서비스를 위한 메인 메모리 기반 공간 데이터 관리자)

  • Oh, Byoung-Woo
    • Journal of Korea Spatial Information System Society
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    • v.8 no.1 s.16
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    • pp.77-92
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    • 2006
  • This paper proposes an efficient spatial data manager for map services in mobile environment. It is designed to provide interoperability and efficient performance at once. To provide interoperability and reusability, the spatial data manager conforms to international standards such as the OpenGIS Simple Features Implementation Specification for OLE/COM, OpenGIS Geography Markup Language (GML) Encoding Specification developed by the Open Geospatial Consortium (OGC). The spatial data manger exploits physical main memory using Address Windowing Extensions supported by Microsoft Windows to manage spatial data for efficient performance by reducing time to read data from disk on user's request. The format of the spatial data in main memory is target data (GML) to reduce conversion time from source data to it. Progressive transmission is also provided to reduce latency time by representing only received partial data for mobile environment without waiting whole transmission.

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Genetic Algorithm based Methodology for Network Performance Optimization (유전자 알고리즘을 이용한 WDM 네트워크 최적화 방법)

  • Yang, Hyo-Sik
    • Journal of the Institute of Convergence Signal Processing
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    • v.9 no.1
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    • pp.39-45
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    • 2008
  • This paper considers the multi-objective optimization of a multi-service arrayed waveguide grating-based single-hop WDM network with the two conflicting objectives of maximizing throughput while minimizing delay. This paper presents a genetic algorithm based methodology for finding the optimal throughput-delay tradeoff curve, the so-called Pareto-optimal frontier. Genetic algorithm based methodology provides the network architecture parameters and the Medium Access Control protocol parameters that achieve the Pareto-optima in a computationally efficient manner. The numerical results obtained with this methodology provide the Pareto-optimal network planning and operation solution for a wide range of traffic scenarios. The presented methodology is applicable to other networks with a similar throughput-delay tradeoff.

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Temporal Prediction of Ice Accretion Using Reduced-order Modeling (차원축소모델을 활용한 시간에 따른 착빙 형상 예측 연구)

  • Kang, Yu-Eop;Yee, Kwanjung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.50 no.3
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    • pp.147-155
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    • 2022
  • The accumulated ice and snow during the operation of aircraft and railway vehicles can degrade aerodynamic performance or damage the major components of vehicles. Therefore, it is crucial to predict the temporal growth of ice for operational safety. Numerical simulation of ice is widely used owing to the fact that it is economically cheaper and free from similarity problems compared to experimental methods. However, numerical simulation of ice generally divides the analysis into multi-step and assumes the quasi-steady assumption that considers every time step as steady state. Although this method enables efficient analysis, it has a disadvantage in that it cannot track continuous ice evolution. The purpose of this study is to construct a surrogate model that can predict the temporal evolution of ice shape using reduced-order modeling. Reduced-order modeling technique was validated for various ice shape generated under 100 different icing conditions, and the effect of the number of training data and the icing conditions on the prediction error of model was analyzed.