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Development of RTEMS SMP Platform Based on XtratuM Virtualization Environment for Satellite Flight Software (위성비행소프트웨어를 위한 XtratuM 가상화 기반의 RTEMS SMP 플랫폼)

  • Kim, Sun-wook;Choi, Jong-Wook;Jeong, Jae-Yeop;Yoo, Bum-Soo
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.48 no.6
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    • pp.467-478
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    • 2020
  • Hypervisor virtualize hardware resources to utilize them more effectively. At the same time, hypervisor's characteristics of time and space partitioning improves reliability of flight software by reducing a complexity of the flight software. Korea Aerospace Research Institute chooses one of hypervisors for space, XtratuM, and examine its applicability to the flight software. XtratuM has strong points in performance improvement with high reliability. However, it does not support SMP. Therefore, it has limitation in using it with high performance applications including satellite altitude orbit control systems. This paper proposes RTEMS XM-SMP to support SMP with RTEMS, one of real time operating systems for space. Several components are added as hypercalls, and initialization processes are modified to use several processors with inter processors communication routines. In addition, all components related to processors are updated including context switch and interrupts. The effectiveness of the developed RTEMS XM-SMP is demonstrated with a GR740 board by executing SMP benchmark functions. Performance improvements are reviewed to check the effectiveness of SMP operations.

Applicability of High-strength Mass Concrete through Setting Time and Horizontally-divided Placement (응결시간제어용 배합과 수평분할을 고려한 고강도 매스콘크리트의 적용성 평가)

  • Cho, Seung-Ho;Paik, In-Kwan;Lee, Dong-Ha;Roh, Young-Sook
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.21 no.2
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    • pp.103-113
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    • 2017
  • In the current study, retarding type and standard type admixture design of concrete have been proposed to control the generation of hydration heat for foundation members that use high strengths concrete. Finite element analysis also has been conducted to understand the rational placing heights of concrete. In addition, real-size structures have experimented and their results were compared to the analytical results to evaluate the reducing effect of thermal stress. For a large $6.5m{\times}6.5m{\times}3.5m$ member with retarding and standard type horizontal partition placement of concrete showed the manageable possibility of temperature difference within 25-degree Celcius between the middle and surface portion while the maximum temperature was 77-degree Celcius. Also, temperature cracking index from the finite element analysis appeared to be 1.49 that predicts no formation of cracking due to the effects of temperature. Finally, it appeared that horizontal partition placement of retarding and standard type concrete has the significant effect of reducing the thermal stress that generated by the hydration heat in the high strengths mass concrete.

A Study of SBC Clustering Technology for 3D Environmental Modeling (3차원 환경 모델링을 위한 SBC 클러스터링 기술 연구)

  • Lee, Jun-Yeob;Oh, Jong-woo;Lee, DongHoon
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.167-167
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    • 2017
  • 스마트팜 내부의 3차원 공간의 온도, 습도, 기압, 공기질 분석을 통한 돈사 미세 조절 기술에 대한 연구가 진행 중이다. 해당 특성 중에서 기압을 제외한 환경인자들은 돈사 내의 구조 특성상 위치별로, 시간별로 매우 상이한 변이의 형태를 보인다. 일정 시점을 기준으로 계측 지점 이외의 지점에 대한 환경인자들을 공간적으로 추정하는 기술은 대표적으로 컴퓨터 분석 기술에 의존하고 있다. 시간 복잡도가 매우 높은 CFD(Computer Fluid Dynamics) 방식은 정밀도 측면에서 유리하나, 상응하는 제어 기술/하드웨어 등의 부재로 모델링 결과의 활용도가 낮다고 볼 수 있다. 본 연구에서는 CFD를 수행하는 과정에 있어 실질적으로 유효한 단위로 공간 분해능을 낮추고, 동등한 크기의 세부 공간에 대한 모델링을 병렬적으로 수행하기 위한 방안을 연구하였다. 실험적으로 돈사 환경을 3차원으로 구성하기 위하여, 공기 흡입구, 배출구, 기둥, 덕트 요소를 포함시켰다. 실내 공간을 1차적으로 가로, 세로, 높이방향으로 $3{\times}3{\times}3$ 균등 분배한 후 3차원 행렬로 분할하였다. 각 분할된 행렬에 대한 연산 수행을 위하여 현재까지 대중에 공개된 SBC(Single Board Computer) 중 가장 높은 연산 수행 능력이 있는 Odroid-XU4(Hardkernel, AnYang, Korea) 16식을 병렬 클러스터링 기술로 연동하였다. 하나의 AP당 8개의 코어가 내장되어 있으므로, 총 128개의 코어를 이용하여 동시에 128개의 3D 정방행렬 연산이 가능하도록 구성하였다. 모델링을 위한 수학적 모델로는 실험적으로 Steady turbulent model (Newtonian coefficient)을 이용하였다. 클러스터링을 이용한 병렬 처리의 특성상 균등한 정보량을 동시에 배분해야 하므로 108 ($27{\times}4$)개의 코어를 이용하여 1차적으로 나뉜 공간을 다시 4등분하여 동시에 $12{\times}12{\times}12$에 해당하는 공간 분해능에 대한 처리를 동시에 수행할 수 있도록 하였다. 2단계에 걸쳐 분할한 공간 세그먼트에 대한 클러스터링 연산 수행 결과 초당 15회 정도의 연산을 수행할 수 있었으며, 시간 분해능을 100으로 설정한 경우 약 5초가 수행되었다. 선행적으로 수행하였던 CFD 모델링 (OpenFOAM)과 비교하였을 때 상대적으로 정밀도가 낮은 3차원 모델링 결과를 얻을 수 있었다. 모델링에 소요되는 시간을 비약적으로 경감 시킨 장점을 살려 적정한 공간 분할 기법과 추가로 발생하는 다수의 바운더리 조건을 근사적으로 추정할 수 있는 데이터 마이닝 기술이 보완되어야 할 것이다.

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Development of air-conditioning and drinking water supply system using air-water heat pump (공기-물 히트펌프를 이용한 공조 및 음용수급수시스템 개발)

  • Paek, Yee;Kang, Sukwon;Jang, Jae-Kyung;Kim, Young-Hwa
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.118-118
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    • 2017
  • 지구 온난화에 따른 환경변화로 인하여 최근 10년('02~'11)간 여름의 일수는 4일, 겨울 일수는 16일 각각 증가하였다. 현재 육계사 내의 고밀도 밀집사육으로 인하여 고온스트레스로 하절기 육계의 폐사율이 증가하고 있는 실정이다. 2016년 폭염으로 닭 406.1천수, 오리 15.7천수, 메추리 70천수, 돼지 8천수가 폐사하였다. 이에 혹서기 가축이 약430만수가 폐사하였으며 피해 보상금액 128억원 소요되었다. 본 연구에서는 하절기 고온스트레스 경감과 폐사율 저감을 위해 계사 냉난방 공조와 냉온 음용수 급수를 병행할 수 있는 고효율 환경 개선 시스템을 개발하여 고온스트레스 저감 및 생산성 향상에 목적이 있다. 계사 냉난방 공조 및 냉온음용수 급수 병행 시스템 설계요인을 분석하고 냉난방 공조부하, 냉온수 생산 부하를 고려한 시스템 용량 산정하고 히트펌프, 축열조, 냉난방 및 냉온수 분배장치 등 구성요소로서 공조 및 냉온음용수 급수시스템을 설치하였다. 시스템 용량은 공기-물 히트펌프(10kW,1대), 축열조(10톤), 음용수조(2톤), 열교환기(열교환량,5만kcal/h), 물순환펌프(250W,2대) 및 팬코일유닛(1만kcal/h,4대)으로 시스템 모니터링 및 제어 시스템 개발하여 계사 내 환경, 시스템 성능에 대한 실시간 모니터링을 통하여 저장하였다. 조사항목으로 위치별 온습도, 체중, 사료섭취량, 페사율 등을 조사 분석하였다. 연구결과 계사의 내부온도는 시험구에서는 평균 $25.3^{\circ}C$를 나타내었고 대조구에서는 평균 $28.1^{\circ}C$로서 $2.8^{\circ}C$ 높게 나타났으나 상대습도는 시험구 76.2%, 대조구 75.0%로 큰 차이가 없었다. 냉수급여에 따른 계사 높이별 내부온도는 상하의 온도차가 $4.5^{\circ}C$로 크게 차이가 났다. 육계의 음수량은 혹서기 냉수를 급여한 시험구에서 일일 23.2L, 대조구에서는 21.5L를 섭취하였다. 일일 사료섭취량은 냉수를 급여한 시험구에서 937g, 대조구에서는 725g을 섭취하였다. 사료섭취량은 냉수를 급여한 시험구가 212g 많이 섭취하였으며 사료요구율은 시험구는 1.86, 대조구는 1.91로서 시험구가 낮게 나타났다. 체중은 냉수를 급여한 시험구가 359g 많았으며 증체량은 냉수를 급여한 시험구에서 495g, 대조구에서는 392g으로 나타났다. 폐사율은 냉수를 급여한 시험구에서 84%가 폐사율을 줄일 수 있었다.

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Novel Collision Warning System using Neural Networks (신경회로망을 이용한 새로운 충돌 경고 시스템)

  • Kim, Beomseong;Choi, Baehoon;An, Jhonghyun;Hwang, Jaeho;Kim, Euntai
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.4
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    • pp.392-397
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    • 2014
  • Recently, there are many researches on active safety system of intelligent vehicle. To reduce the probability of collision caused by driver's inattention and mistakes, the active safety system gives warning or controls the vehicle toward avoiding collision. For the purpose, it is necessary to recognize and analyze circumstances around. In this paper, we will treat the problem about collision risk assessment. In general, it is difficult to calculate the collision risk before it happens. To consider the uncertainty of the situation, Monte Carlo simulation can be employed. However it takes long computation time and is not suitable for practice. In this paper, we apply neural networks to solve this problem. It efficiently computes the unseen data by training the results of Monte Carlo simulation. Furthermore, we propose the features affects the performance of the assessment. The proposed algorithm is verified by applications in various crash scenarios.

Current Research Trends on Surface Modification of Pressure-driven Membranes for Fouling Mitigation (압력 구동 기반 분리막의 막 오염 저감을 위한 표면 개질 방법 최신 연구 동향)

  • Jun, Byung-Moon;Lee, Hyung Kae;Kim, Woo Jeong;Park, Jihun;Kim, Jong Hyeok;Kwon, Young-Nam
    • Membrane Journal
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    • v.28 no.1
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    • pp.1-20
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    • 2018
  • Fresh water is an important resource for humans, and pressure-driven membrane technology has been widely known as an energy-efficient method to obtain water resource. However, membrane fouling phenomenon, which is one of the major issue during operation, deteriorates membrane permeability. These fouling is usually affected by interaction between surface of membrane and various foulants, therefore, modification of membrane's surface is one of the methods to improve fouling-resistance. This review focuses on the method to modify surface of pressure-driven membranes such as microfiltration (MF), ultrafiltration (UF), nanofiltration (NF), and reverse osmosis (RO). Specifically, there are two different surface modification methods: (1) adsorption and coating as the physical modification methods, (2) cross-linker, free radical polymerization (FRP), atom transfer radical polymerization (ATRP), plasma/UV-induced polymerization as the chemical modification methods. This review introduces the physico - chemical surface modification methods reported in recent papers and suggests research directions for membrane separation which can increase membrane fouling resistance.

Transmission of Continuous Media by Send-rate Control and Packet Drop over a Packer Network (패킷망에서 전송율 제어와 패킷 폐기에 의한 연속 미디어 전송방안)

  • 배시규
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1999.12a
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    • pp.121-129
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    • 1999
  • When continuous media are transmitted over the communication networks, asynchrony which can not maintain temporal relationships among packets may occur due to a random transit delay. There exist two types of synchronization schemes ; for guaranteed or non-guaranteed resource networks. The former which applies a resource reservation technique maintains delay characteristics, however, the latter supply a best-effort service. In this paper, I propose a intra-media synchronization scheme to transmit continuous media on general networks not guaranteeing a bounded delay tome. The scheme controls transmission times of the packets by estimating next delay time with the delay distribution. So, the arriving packets may be maintained within a limited delay boundary, and playout will be performed after buffering to smoothen small delay variations. The continually increasing delay due to network overload causes buffer underflow at the receiver. To solve it, the transmitter is required to speed up instantaneously. Too much increase of transmission-rate may cause network congestion. At that time, the transmitter drops the current packet when informed excessive delay from the receiver.

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A Study on Development of Evaluation Method on Riverine Ecobelt (수변 생태벨트 평가방법 개발에 관한 연구)

  • Cho, Yong-Hyeon;Choi, Dae-Hee
    • Journal of the Korean Institute of Landscape Architecture
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    • v.42 no.1
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    • pp.123-132
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    • 2014
  • This study aims to develop the diagnostic evaluation method of the riverine ecobelt for construction, conservation, and maintenance of the riverine ecobelt. The value indices in the proposed evaluation method are composed of total 5 fields and 19 elements. The 5 fields are flood control, environmental function, growth of plants, ecobelt function, and restoration potential. Flood control field is composed of total 3 elements such as length, width, and density of green area. Environmental function field is composed of 4 elements such as park use, landscape boundary and edge, microclimate control, non-point pollution control. Growth of plants field is composed of 6 elements such as species composition, forest height, stratum structure, vine plants, plant vitality, and succession of plants. Ecobelt function field is composed of 4 elements such as longitudinal connectivity, lateral connectivity, in-stream forest or habitat, roads on bank top. Restoration potential field is composed of 2 elements such as landform and land use of the immediate vicinity. The score system ranging 1~4 was adopted. The weighting parameters of elements were unified with each other. The final grade system ranging 1~5(1: very good~5: very bad) was adopted, and the final grade was evaluated by the mean values of each field. According to the test application of the diagnostic evaluation method of the riverine ecobelt, the final grades showed effectively the real condition of each site.

Fault Localization for Self-Managing Based on Bayesian Network (베이지안 네트워크 기반에 자가관리를 위한 결함 지역화)

  • Piao, Shun-Shan;Park, Jeong-Min;Lee, Eun-Seok
    • The KIPS Transactions:PartB
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    • v.15B no.2
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    • pp.137-146
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    • 2008
  • Fault localization plays a significant role in enormous distributed system because it can identify root cause of observed faults automatically, supporting self-managing which remains an open topic in managing and controlling complex distributed systems to improve system reliability. Although many Artificial Intelligent techniques have been introduced in support of fault localization in recent research especially in increasing complex ubiquitous environment, the provided functions such as diagnosis and prediction are limited. In this paper, we propose fault localization for self-managing in performance evaluation in order to improve system reliability via learning and analyzing real-time streams of system performance events. We use probabilistic reasoning functions based on the basic Bayes' rule to provide effective mechanism for managing and evaluating system performance parameters automatically, and hence the system reliability is improved. Moreover, due to large number of considered factors in diverse and complex fault reasoning domains, we develop an efficient method which extracts relevant parameters having high relationships with observing problems and ranks them orderly. The selected node ordering lists will be used in network modeling, and hence improving learning efficiency. Using the approach enables us to diagnose the most probable causal factor with responsibility for the underlying performance problems and predict system situation to avoid potential abnormities via posting treatments or pretreatments respectively. The experimental application of system performance analysis by using the proposed approach and various estimations on efficiency and accuracy show that the availability of the proposed approach in performance evaluation domain is optimistic.

Ground-Roll Suppression of the Land Seismic Data using the Singular Value Decomposition (SVD) (특이값 분해를 이용한 육상 탄성파자료의 그라운드롤 제거)

  • Sa, Jin-Hyeon;Kim, Sung-Soo;Kim, Ji-Soo
    • The Journal of Engineering Geology
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    • v.28 no.3
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    • pp.465-473
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    • 2018
  • The application of singular value decomposition (SVD) filtering is examined for attenuation of the ground-roll in land seismic data. Prior to the SVD computation to seek singular values containing the highly correlatable reflection energy, processing steps such as automatic gain control, elevation and refraction statics, NMO correction, and residual statics are performed to enhance the horizontal correlationships and continuities of reflections. Optimal parameters of SVD filtering are effectively chosen with diagnostic display of inverse NMO (INMO) corrected CSP (common shot point) gather. On the field data with dispersion of ground-roll overwhelmed, continuities of reflection events are much improved by SVD filtering than f-k filtering by eliminating the ground-roll with preserving the low-frequency reflections. This is well explained in the average amplitude spectra of the f-k and SVD filtered data. The reflectors including horizontal layer of the reservoir are much clearer on the stack section, with laminated events by SVD filtering and subsequent processing steps of spiking deconvolution and time-variant spectral whitening.