• Title/Summary/Keyword: FDB

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Lactic Acid Fermentation of Dioscorea batatas and Its Anti-Inflammatory Effects on TNBS-induced Colits Model (TNBS에 의해 유도된 마우스 대장염모델에서 유산균 발효 마의 항염효과)

  • Hyun, Mee-Sun;Hur, Jung-Mu
    • Journal of Applied Biological Chemistry
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    • v.54 no.1
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    • pp.51-55
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    • 2011
  • To develop a health-aid preparation of Dioscorea batatas (DB), lactic acid fermentation was attempted using a mixed starter comprising of Lactobacillus acidophilus, Lactobacillus plantarum, Bifidobacterium longum. The anaerobic fermentation of a 10% DB flour suspension gave a uniform suspension of pH 3.65, containing $8{\times}10^6$ CFU/mL lactic acid bacteria. During the administration of the lactic acid fermented DB (FDB) and DB to trinitrobenzene sulfonic acid (TNBS)-induced colitis mouse model, histological lesions, morphological damage, and myeloperoxidase acitivity were significantly reduced at a dosage of 200 and 400 mg/kg/day. Dose-response (200 and 400 mg/kg/day) studies revealed that FDB pre-treatment of mice significantly ameliorated the appearance of diarrhoea and the disruption of colonic architecture. In FDB-pretreated mice, there was a significant reduction in the degree of both neutrophil infiltration (measured as decrease in myeloperoxidase activity) and weight loss rates. Theses findings suggest that FDB exerts beneficial effects in experimental colitis and may be useful in the treatment of inflammatory bowel disease.

Realtime Generation of Grid Map for Autonomous Navigation Using the Digitalized Geographic Information (디지털지형정보 기반의 실시간 자율주행 격자지도 생성 연구)

  • Lee, Ho-Joo;Lee, Young-Il;Park, Yong-Woon
    • Journal of the Korea Institute of Military Science and Technology
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    • v.14 no.4
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    • pp.539-547
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    • 2011
  • In this paper, a method of generating path planning map is developed using digitalized geographic information such as FDB(Feature DataBase). FDB is widely used by the Army and needs to be applied to all weapon systems of newly developed. For the autonomous navigation of a robot, it is necessary to generate a path planning map by which a global path can be optimized. First, data included in FDB is analyzed in order to identify meaningful layers and attributes of which information can be used to generate the path planning map. Then for each of meaningful layers identified, a set of values of attributes in the layer is converted into the traverse cost using a matching table in which any combination of attribute values are matched into the corresponding traverse cost. For a certain region that is gridded, i.e., represented by a grid map, the traverse cost is extracted in a automatic manner for each gird of the region to generate the path planning map. Since multiple layers may be included in a single grid, an algorithm is developed to fusion several traverse costs. The proposed method is tested using a experimental program. Test results show that it can be a viable tool for generating the path planning map in real-time. The method can be used to generate other kinds of path planning maps using the digitalized geographic information as well.

Design of multi-array pulse diagnosis sensor with FDB process (FDB 방식을 채용한 멀티 어레이 맥진 센서 설계)

  • Jeon, Y.J.;Lee, J.;Lee, Y.J.;Woo, Y.J.;Ryu, H.H.;Kim, J.Y.
    • Proceedings of the KIEE Conference
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    • 2008.10b
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    • pp.367-368
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    • 2008
  • 한의학의 주요 방법 중 하나인 맥진은 한의사가 환자의 손목 부위를 손가락으로 진맥하여 환자의 맥동을 감지하는 행위이다. 하지만 이러한 맥진은 주관적이고 형이학적 이어서 맥진의 발전을 위해서는 맥진의 객관화와 정량화가 요구된다. 본 연구는 기존의 와이어 본딩(wire bonding)을 이용한 맥진 센서의 단점인 내성을 극복하기 위하여 FDB(Face Down Bonding) 방식을 이용하였으며, $3{\times}3$ 멀티 어레이 센서간의 crosstalk를 극복하고자 센서들을 격리시킬 수 있는 댐(dam)을 형성하였다. 또한, 댐을 감싸고 상단 및 하단에 들기를 형성하는 패드를 이용하여 피부에 접촉하도록 제작하였다. 센서의 특성을 평가하기 위하여 각 센서 출력 단자의 저항 값을 측정하였으며 센서 스펙에서 제공하는 값과 동일함을 확인하였고, 실제 요골동맥 부위에서 맥파를 측정하여 전형적인 요골동맥 맥과 파형이 측정됨을 확인하였다.

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An Analysis of Dynamic Behavior of Fluid Dynamic Bearing for Hard Disk Drive Spindle Motor

  • Song, Young-Han;Yoo, Jin-Gyoo;Rhim, Yoon-Chul
    • KSTLE International Journal
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    • v.4 no.1
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    • pp.18-26
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    • 2003
  • Recently, fluid dynamic bearings (EDBs) have important applications in miniature rotating machines such as those found in the computer information storage industry, due to their outstanding low acoustic noise and NRRO (Non-Repeatable Run Out) characteristics. This research investigates the dynamic behavior of fluid dynamic bearings composed of hydrodynamic herringbone groove journal and spiral groove thrust bearing. The five degrees of freedom of FDB are considered to describe the real motion of a general rotor bearing system. The Reynolds equation and five nonlinear equations of motion for the dynamic behavior are solved simultaneously, The incompressible Reynolds equation is solved by using the finite element method (FEM) in order to calculate the pressure distribution in a fluid film and the five equations of motion by using the Runge-Kutta method. The reaction forces and moments are obtained by integrating the pressure along the fluid film. Numerical results are validated by comparing with the previously published experimental and numerical results. As a result the dynamic behavior of FDB spindle such as orbit, floating height, and angular orbit is investigated by considering the conical motion under the static and dynamic load conditions.

A Fast Dynamic Broadcasting Scheme For Video-On-Demand Systems (주문형 비디오 시스템을 위한 빠른 동적 방송 기법)

  • Kwon, Hyeok-Min
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.9
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    • pp.433-444
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    • 2005
  • In video-on-demand(VOD) systems, a broadcast-based scheduling mechanism is known to be a very efficient technique for disseminating popular videos to very large client populations. The main motivations of broadcasting scheduling mechanisms are that they scale up extremely well and they have very modest bandwidth requirements. This paper proposes a new dynamic broadcasting scheduling mechanism, named FDBS (fast dynamic broadcasting scheme), and proves its correctness. This paper also evaluates the performance of FDBS on the basis of a simulation approach. The simulation results indicate that FDBS shows a superior performance over UD, CBHD, and NPB in terms of the average response time with very reasonable bandwidth requirements.

A Study on Ferro Fluid Dynamic Bearing Spindel Characteristics by High Frequency Vibration Ssystem

  • Miwa, M.;Harita, H.;Nishigami, T.;Kaneko, R.;Unozawa, H.
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
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    • 2002.10b
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    • pp.283-284
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    • 2002
  • Ball bearings (BB) are generally used in spindle of‘ disk drives at present, but they have been known that BB generate high frequency vibration. Fluid dynamic bearings (FDB) having high-rotational accuracy and small vibration characteristics have been developed as next generation spindles. Especially. a ferro fluid bearing (FFB) spindle has the advantage to prevent leakage and dispersion of lubricating oil using a ferro seal. In this study, we measured damping characteristics and frequency characteristics of these bearing spindles using a high-frequency vibration base. High frequency excitation was added to these bearing spindles mounted on the vibration base, and we proved that FFB and FDB spindles have effective damping.

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Ethernet Ring Protection Using Filtering Database Flip Scheme For Minimum Capacity Requirement

  • Rhee, June-Koo Kevin;Im, Jin-Sung;Ryoo, Jeong-Dong
    • ETRI Journal
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    • v.30 no.6
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    • pp.874-876
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    • 2008
  • Ethernet ring protection is a new technology introduced in ITU-T Recommendation G.8032, which utilizes the generic Ethernet MAC functions. We introduce an alternative enhanced protection switching scheme to suppress penalty in the switching transient, in which the Ethernet MAC filtering database (FDB) is actively and directly modified by information disseminated from the nodes adjacent to failure. The modified FDB at all nodes are guaranteed to be consistent to form a complete new ring network topology immediately. This scheme can reduce the capacity requirement of the G.8032 by several times. This proposed scheme can be also applied in IP protection rings.

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A Terrain Analysis System for Global Path Planning of Unmanned Ground Vehicle (무인지상차량의 전역경로계획을 위한 지형정보 분석 시스템)

  • Park, Won-Ik;Lee, Ho-Joo;Kim, Do-Jong
    • Journal of the Korea Institute of Military Science and Technology
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    • v.16 no.5
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    • pp.583-589
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    • 2013
  • In this paper, we proposed a system that efficiently provides support maps which includes the grid based terrain analysis information. To do this, we use the FDB which is defined as a GIS database that contains features with attributes attached to the features. The FDB is composed of a number of features and feature classes. In order to create support maps, it is necessary to classify feature classes that are associated with each support map and to search them in a grid map. The proposed system use a ontology model to classify semantically feature classes and the quad-tree data structure to find them in a grid map quickly. Therefore, our system is expected to be utilized for global path planning of UGV. In this paper, we show the possibility through an experimental implementation.

Thrust Force Analysis in Spindle Motor for HDDs (HDD용 스핀들 모터의 쓰러스트 힘 해석)

  • Seo, Jung-Moo;Rhyu, Se-Hyun;Jung, In-Soung;Sung, Ha-Gyung;Yang, Kook-Hyeun
    • Proceedings of the KIEE Conference
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    • 2005.10c
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    • pp.126-128
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    • 2005
  • This paper presents spindle motor with fluid dynamic hearing(FDB) for hard disk drives. Thrust hearing of FDB requires appropriate pressure to operate in smooth rotations. In this study, the thrust forte between rotor and thrust yoke is analyzed using 3D finite clement method and experimental results are compared with the simulated one.

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Ensemble techniques and hybrid intelligence algorithms for shear strength prediction of squat reinforced concrete walls

  • Mohammad Sadegh Barkhordari;Leonardo M. Massone
    • Advances in Computational Design
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    • v.8 no.1
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    • pp.37-59
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    • 2023
  • Squat reinforced concrete (SRC) shear walls are a critical part of the structure for both office/residential buildings and nuclear structures due to their significant role in withstanding seismic loads. Despite this, empirical formulae in current design standards and published studies demonstrate a considerable disparity in predicting SRC wall shear strength. The goal of this research is to develop and evaluate hybrid and ensemble artificial neural network (ANN) models. State-of-the-art population-based algorithms are used in this research for hybrid intelligence algorithms. Six models are developed, including Honey Badger Algorithm (HBA) with ANN (HBA-ANN), Hunger Games Search with ANN (HGS-ANN), fitness-distance balance coyote optimization algorithm (FDB-COA) with ANN (FDB-COA-ANN), Averaging Ensemble (AE) neural network, Snapshot Ensemble (SE) neural network, and Stacked Generalization (SG) ensemble neural network. A total of 434 test results of SRC walls is utilized to train and assess the models. The results reveal that the SG model not only minimizes prediction variance but also produces predictions (with R2= 0.99) that are superior to other models.