• Title/Summary/Keyword: 다중 안정성

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A Novel Architecture for Dynamic Mobile Networks with IPv6-based Multiple Network Interfaces (IPv6 기반의 다중 네트워크 인터페이스를 갖는 새로운 동적 이동형 네트워크 아키텍쳐)

  • Kim Wan-Tae
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.8 s.350
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    • pp.25-34
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    • 2006
  • In this paper DynaMoNET is suggested as a novel IPv6-based multi-homed mobile network architecture which is composed of nested mobile ad hoc networks dynamically coming together through wireless personal area networks. Each ad hoc network has a mobile router which may work as a root mobile router instead of fixed mobile routers in a DynaMoNET. A root mobile router provides the reliable Internet connectivity for the entire mobile network. This paper includes a innovative handover protocol for multi-homed mobile networks, network switchover algorithm considering multiple decision factors, root mobile router election process based on token-based algorithm fast root mobile router discovery algorithm and fault avoidance mechanism to support reliable Internet connectivity. Finally the system architecture of a mobile router is given in detail.

The Analysis on Properties of Epoxy/MWCNT for Bonding CFRP to Steel Plates (CFRP와 금속 재료의 접합을 위한 epoxy/MWCNT의 특성 분석)

  • Yoo, Sung-Hun;Kwon, Il-Jun;Shin, Dong-Woo;Park, Sung-Min;Yeum, Jeong-Hyun
    • Composites Research
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    • v.30 no.3
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    • pp.215-222
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    • 2017
  • The effect of a multi walled carbon nanotubes (MWNCT) on the adhesive properties and thermal properties of epoxy were studied by double lap-shear tests. Epoxy/MWCNT resins were prepared from a different amount of the MWCNT incorporated into the epoxy resins (araldite 2011). Steel plates and carbon fiber reinforced plastics (CFRP) were chosen as materials. Mechanical tests were performed by a universal testing machine (UTM). The analysis of thermal properties were conducted by a thermogravimetric analyzer (TGA) and a differential scanning calorimetry (DSC). The fracture surface morphology was examined using a scanning electron microscopy (SEM) and optical microscope. Compared to neat epoxy, it was found that the mechanical properties of epoxy/MWCNT resins are increased.

A Study on Improving SQUID Proxy Server Performance by Arbitral Thread and Delayed Caching (중재 쓰레드와 지연 캐싱에 의한 스퀴드 프록시 서버 성능 향상에 관한 연구)

  • Lee, Dae-Sung;Kim, Yoo-Sung;Kim, Ki-Chang
    • The KIPS Transactions:PartC
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    • v.10C no.1
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    • pp.87-94
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    • 2003
  • As the number of the Internet users increases explosively, a solution for this problem is web caching. So, many techniques on improving cache server performance have been suggested. In this paper, we analyze the cause of the bottleneck in cache servers, and propose an arbitral thread and delayed caching mechanism as a solution. We use an arbitral thread in order to provide a quick service to user requests through eliminating the ready multi-thread search problem in case of disk writing operation. We also use delayed caching in order to provide stable system operation through avoiding overloaded disk operation and queue threshold. Proposed cache server is implemented through modification on SQUlD cache server, and we compare its performance with the original SQUID cache server.

Cancer Diagnosis System using Genetic Algorithm and Multi-boosting Classifier (Genetic Algorithm과 다중부스팅 Classifier를 이용한 암진단 시스템)

  • Ohn, Syng-Yup;Chi, Seung-Do
    • Journal of the Korea Society for Simulation
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    • v.20 no.2
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    • pp.77-85
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    • 2011
  • It is believed that the anomalies or diseases of human organs are identified by the analysis of the patterns. This paper proposes a new classification technique for the identification of cancer disease using the proteome patterns obtained from two-dimensional polyacrylamide gel electrophoresis(2-D PAGE). In the new classification method, three different classification methods such as support vector machine(SVM), multi-layer perceptron(MLP) and k-nearest neighbor(k-NN) are extended by multi-boosting method in an array of subclassifiers and the results of each subclassifier are merged by ensemble method. Genetic algorithm was applied to obtain optimal feature set in each subclassifier. We applied our method to empirical data set from cancer research and the method showed the better accuracy and more stable performance than single classifier.

Power Optimization Method Using Peak Current Modeling for NAND Flash-based Storage Devices (낸드 플래시 기반 저장장치의 피크 전류 모델링을 이용한 전력 최적화 기법 연구)

  • Won, Samkyu;Chung, Eui-Young
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.43-50
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    • 2016
  • NAND flash based storage devices adopts multi-channel and multi-way architecture to improve performance using parallel operation of multiple NAND devices. However, multiple NAND devices consume higher current and peak power overlap problem influences on the system stability and data reliability. In this paper, current waveform is measured for erase, program and read operations, peak current and model is defined by profiling method, and estimated probability of peak current overlap among NAND devices. Also, system level TLM simulator is developed to analyze peak overlap phenomenon depending on various simulation scenario. In order to remove peak overlapping, token-ring based simple power management method is applied in the simulation experiments. The optimal peak overlap ratio is proposed to minimize performance degradation based on relationship between peak current overlapping and system performance.

Stable Standby-mode Implementation of Multi-output Power Supply using a New Load Current Estimation Technique with Linear Regulator (다중 출력 전원공급장치의 안정적 대기전력 구현을 위한 새로운 방식의 부하전류 측정기법 구현)

  • Lee, Jong-Hyun;Jung, An-Yeol;Kim, Dong-Joon;Park, Joung-Hu;Jeon, Hee-Jong
    • The Transactions of the Korean Institute of Power Electronics
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    • v.16 no.1
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    • pp.88-95
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    • 2011
  • In this paper, a new standby-mode control method for multiple output switching-mode power-supply is suggested, which uses the control signal of the feedback compensator of the inner loop in the linear voltage regulator located at the transformer secondary side, as the load current information. Conventional method has a problem that standby mode occurs depending only on the load condition of the main controller output, which makes the other secondary side output very inaccurate by burst mode operation. The proposed method detects all the load current information and operates in burst mode only when the all of them are light load condition. Minimum of the additional components are required for the implementation of the proposed method because the load information is obtained from the existing feedback circuit of the post-stage linear regulator. In this paper, the operating principles of the proposed standby-mode circuit are presented with an numerical analysis, and are verified by 25W hardware prototype implementation.

An Output Feedback Predictive Control for Stabilizing a System With Multiple Delayed Inputs (지연된 다중 입력을 갖는 시스템을 안정화하는 출력 궤환 예측 제어)

  • Yang, Janghoon
    • Journal of Advanced Navigation Technology
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    • v.23 no.5
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    • pp.424-429
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    • 2019
  • The evolution of networking technology such as commercialization of 5G systems provides foundation for information exchange and control of systems over the network. In addition, importance of controlling a system with delay is increasing significantly, since various phenomena in the network are associated with delay. In this paper, with a predictive control which has been studied for designing a controller with low complexity, we propose a novel predictive control for a system with multi-inputs such that it can keeps the complexity almost the same regardless of the number of inputs and degree of delay. The asymptotic stability of the proposed control with a static output feedback is also proved. The numerical simulation shows that the proposed method is superior in complexity and the performance of finding feasible controllers to the existing predictive control and a conventional method based on augmented states.

Improving the performance of Multipath TCP using Delay Alerted Path-blocking Scheduler in Heterogeneous Networks (이종 망에서의 지연경보 경로차단 스케줄러를 이용한 MPTCP성능 개선방안)

  • Kim, Min Sub;Lee, Jae Yong;Kim, Byung Chul
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.2
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    • pp.28-37
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    • 2017
  • Multipath TCP (MPTCP), which is a layer 4 protocol that can get the reliability and the efficiency of the transmission by using multipath transfer, was standardized by the IETF. MPTCP provides superior performance when compared to a single TCP when used in a homogeneous network with similar network characteristics. However, MPTCP degrades performance when used in heterogeneous networks with different network characteristics. In this paper, we propose 'Delay-alerted path-blocking scheduler'. It measures the delay of each path and blocks the path with a long delay to reduce the order of packets in the receive buffer. If the duplicated packet is sent to the blocked path to measure the delay and the congestion on the blocking path is reduced, the blocked path is unblocked. For performance analysis, the proposed scheduler was implemented in the Linux kernel and improved performance was obtained in the test bed. We also confirmed that the proposed scheduler reduces the degradation of MPTCP performance in real wireless networks with heterogeneous path characteristics.

Bias-correction of near-real-time multi-satellite precipitation products using machine learning (머신러닝 기반 준실시간 다중 위성 강수 자료 보정)

  • Sungho Jung;Xuan-Hien Le;Van-Giang Nguyen;Giha Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.280-280
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    • 2023
  • 강수의 정확한 시·공간적 추정은 홍수 대응, 가뭄 관리, 수자원 계획 등 수문학적 모델링의 핵심 기술이다. 우주 기술의 발전으로 전지구 강수량 측정 프로젝트(Global Precipitation Measurement, GPM)가 시작됨에 따라 위성의 여러 센서를 이용하여 다양한 고해상도 강수량 자료가 생산되고 있으며, 기후변화로 인한 수재해의 빈도가 증가함에 따라 준실시간(Near-Real-Time) 위성 강수 자료의 활용성 및 중요성이 높아지고 있다. 하지만 준실시간 위성 강수 자료의 경우 빠른 지연시간(latency) 확보를 위해 관측 이후 최소한의 보정을 거쳐 제공되므로 상대적으로 강수 추정치의 불확실성이 높다. 이에 따라 본 연구에서는 앙상블 머신러닝 기반 수집된 위성 강수 자료들을 관측 자료와 병합하여 보정된 준실시간 강수량 자료를 생성하고자 한다. 모형의 입력에는 시단위 3가지 준실시간 위성 강수 자료(GSMaP_NRT, IMERG_Early, PERSIANN_CCS)와 방재기상관측 (AWS)의 온도, 습도, 강수량 지점 자료를 활용하였다. 지점 강수 자료의 경우 결측치를 고려하여 475개 관측소를 선정하였으며, 공간성을 고려한 랜덤 샘플링으로 375개소(약 80%)는 훈련 자료, 나머지 100개소(약 20%)는 검증 자료로 분리하였다. 모형의 정량적 평가 지표로는 KGE, MAE, RMSE이 사용되었으며, 정성적 평가 지표로 강수 분할표에 따라 POD, SR, BS 그리고 CSI를 사용하였다. 머신러닝 모형은 개별 원시 위성 강수 자료 및 IDW 기법보다 높은 정확도로 강수량을 추정하였으며 공간적으로 안정적인 결과를 나타내었다. 다만, 최대 강수량에서는 다소 과소추정되므로 이는 강수와 관련된 입력 변수의 개수 업데이트로 해결할 수 있을 것으로 판단된다. 따라서 불확실성이 높은 개별 준실시간 위성 자료들을 관측 자료와 병합하여 보정된 최적 강수 자료를 생성하는 머신러닝 기법은 돌발성 수재해에 실시간으로 대응 가능하며 홍수 예보에 신뢰도 높은 정량적인 강수량 추정치를 제공할 수 있다.

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The Prognostic Role of B-type Natriuretic Peptide in Acute Pulmonary Thromboembolism (급성 폐혈전색전증 환자에서 예후 인자로서 혈중 BNP의 의의)

  • Lee, Su Jin;Lee, Jae Hyung;Park, Ji Young;Jo, Woo Sung;Kim, Ji Eun;Kim, Ki Uk;Park, Hye Kyung;Kim, Yun Seong;Lee, Min Ki;Park, Soon Kew
    • Tuberculosis and Respiratory Diseases
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    • v.60 no.5
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    • pp.540-547
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    • 2006
  • Background : Vital stability and right side heart failure are major prognostic factors of acute pulmonary thromboembolism. While it is important to recognize right side heart failure, it is often difficult in real practice. Recently, several studies have described early diagnostic tools for detecting right side heart failure including echocardiography and biochemical markers. This study, we evaluated the prognostic role of the B-type natriuretic peptide (BNP) in an acute pulmonary thromboembolism. Methods : Thirty-four patients with a diagnosis of acute pulmonary thromboembolism were enrolled in the study. The BNP levels were measured and echocardiography was performed at the Emergency Department. Data on the prognostic factors including ventilatory support, vital stability, pulmonary artery pressure, degree of tricuspid valve regurgitation, complications and death was collected from the patients' medical records. The patients with an acute pulmonary thromboembolism were divided into two groups based on the vital stability and the BNP level and the cutoff values and prognostic factors of the two groups were compared. Results : The predictors of the vital stability that influence the prognosis of patients with acute pulmonary thromboembolism were the BNP level, ventilatory support and death. The plasma BNP levels showed a strong correlation with the vital stability, ventilatory support, thrombolytic therapy and death. When the BNP cutoff level was set to 377.5 pg/dl in a ROC curve, the sensitivity and the specificity for differentiating between the groups with stable or unstable vital signs was 100% and 90%, respectively. Conclusion : This study indicates that a measurement of the plasma BNP levels may be a useful prognostic marker in patients with an acute pulmonary thrombo-embolism.