• Title/Summary/Keyword: Sequence Modeling

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Simulation Analysis for Verifying an Implementation Method of Higher-performed Packet Routing

  • Park, Jaewoo;Lim, Seong-Yong;Lee, Kyou-Ho
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.440-443
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    • 2001
  • As inter-network traffics grows rapidly, the router systems as a network component becomes to be capable of not only wire-speed packet processing but also plentiful programmability for quality services. A network processor technology is widely used to achieve such capabilities in the high-end router. Although providing two such capabilities, the network processor can't support a deep packet processing at nominal wire-speed. Considering QoS may result in performance degradation of processing packet. In order to achieve foster processing, one chipset of network processor is occasionally not enough. Using more than one urges to consider a problem that is, for instance, an out-of-order delivery of packets. This problem can be serious in some applications such as voice over IP and video services, which assume that packets arrive in order. It is required to develop an effective packet processing mechanism leer using more than one network processors in parallel in one linecard unit of the router system. Simulation analysis is also needed for verifying the mechanism. We propose the packet processing mechanism consisting of more than two NPs in parallel. In this mechanism, we use a load-balancing algorithm that distributes the packet traffic load evenly and keeps the sequence, and then verify the algorithm with simulation analysis. As a simulation tool, we use DEVSim++, which is a DEVS formalism-based hierarchical discrete-event simulation environment developed by KAIST. In this paper, we are going to show not only applicability of the DEVS formalism to hardware modeling and simulation but also predictability of performance of the load balancer when implemented with FPGA.

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Global Modeling of Atmospheric Pressure Oxygen Plasmas (대기압 산소 방전에 관한 공간 평균 모델 시뮬레이션)

  • Hwang, Seok-Won;Lee, Ho-Jun;Lee, Hae-June
    • Journal of the Korean Vacuum Society
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    • v.20 no.4
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    • pp.258-265
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    • 2011
  • A zero-dimensional global model simulator for atmospheric pressure oxygen plasmas has been developed. The simulation model considers the configurations similar to that of plasma needle device. The simulation results show that those species of O, $O_3$, $O_2*$ and ${O_2}^+$ have the highest density in sequence. Electrons dissipate most of their energy through the collisions with oxygen molecules. If the input power increases, the density of most species also increases as much as three-boy collision for the creation of ozone is weakened and hence the density of ozone decreases. The body to volume ratio also affects the plasma density.

Performance Improvement in Speech Recognition by Weighting HMM Likelihood (은닉 마코프 모델 확률 보정을 이용한 음성 인식 성능 향상)

  • 권태희;고한석
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.2
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    • pp.145-152
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    • 2003
  • In this paper, assuming that the score of speech utterance is the product of HMM log likelihood and HMM weight, we propose a new method that HMM weights are adapted iteratively like the general MCE training. The proposed method adjusts HMM weights for better performance using delta coefficient defined in terms of misclassification measure. Therefore, the parameter estimation and the Viterbi algorithms of conventional 1:.um can be easily applied to the proposed model by constraining the sum of HMM weights to the number of HMMs in an HMM set. Comparing with the general segmental MCE training approach, computing time decreases by reducing the number of parameters to estimate and avoiding gradient calculation through the optimal state sequence. To evaluate the performance of HMM-based speech recognizer by weighting HMM likelihood, we perform Korean isolated digit recognition experiments. The experimental results show better performance than the MCE algorithm with state weighting.

A Study on the Modularity in Clothing Design (의복디자인에서의 모듈성에 대한 연구)

  • Lim, So-Yon;Lee, Joo-Hyeon
    • Journal of the Korea Fashion and Costume Design Association
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    • v.14 no.2
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    • pp.1-10
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    • 2012
  • Clothing design is one of design products for human, the end user and corresponds to artifacts. Sometimes artifacts with one mono module exist, and so does artifacts assembled and combined with multi modules of same shape and size or various shapes and sizes and thus all design products can be understood by modularity concept. The purpose of this study was to make a new suggestion for the clothing design and production of high uniqueness and creativity by reviewing and synthesizing the foundation of clothing modularity concept as the original clothing design figures from the history have shown various modularity concept evolution from mono module to multi module stages. The methods of this study were to identify clothing modularity and analyze the type, evolving direction, and category of clothing modularity, and the value of clothing modularization design through comprehensive literature reviews on topic-related books and theses. The original clothing figures with Significance from the clothing history were analyzed in evolution sequence for application direction and value of clothing modularity in flat pattern. Clothing modularity in ancient clothing figures was classified as three types of the fixed, drapery, and straight lined in evolving direction from clothing of mono module to flat patterned clothing. The direction of clothing modularity was identified as mono- dual-triple-multi into another level of multi modularity after intentional devolution. The categorization of clothing modularity was identified in terms of clothing flat construction, clothing design construction, and clothing form modeling. The value of clothing modularization design using clothing modularity was identified as economical efficiency, convenience, promptitude, adaptability, functionality, and creativity.

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Molecular Characterization of the Recombinant A-chain of a Type II Ribosome-Inactivating Protein (RIP) from Viscum album coloratum and Structural Basis on its Ribosome-Inactivating Activity and the Sugar-binding Properties of the B-chain

  • Ye, Wenhui;Nanga, Ravi Prakash Reddy;Kang, Cong Bao;Song, Joo-Hye;Song, Seong-Kyu;Yoon, Ho-Sup
    • BMB Reports
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    • v.39 no.5
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    • pp.560-570
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    • 2006
  • Mistletoe (Viscum album) lectins, which are classified as a type II ribosome-inactivating protein (RIP) due to their unique biological function and the potential medical and therapeutic application in cancer cells, receive a rising attention. The heterodimeric glycoproteins contain the A-chain with catalytic activity and the B-chain with sugar binding properties. In recent years, studies involving the lectins from the white berry European mistletoe (Viscum album) and the yellow berry Korean mistletoe (Viscum album coloratum) have been described. However, the detailed mechanism in exerting unique cytotoxic effect on cancer cells still remains unclear. Here, we aim to understand and define the molecular basis and biological effects of the type II RIPs, through the studies of the recombinant Korean mistletoe lectin. To this end, we expressed, purified the recombinant Korean mistletoe lectin (rKML), and investigated its molecular characteristics in vitro, its cytotoxicity and ability to induce apoptotic cell death in cancer cells. To gain structural basis for its catalytic activity and sugar binding properties, we performed homology modeling studies based on the high degree of sequence identity and conserved secondary structure prediction between Korean and European, Himalayan mistletoe lectins, and Ricin.

Comparison of seismic progressive collapse distribution in low and mid rise RC buildings due to corner and edge columns removal

  • Karimiyan, Somayyeh
    • Earthquakes and Structures
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    • v.18 no.5
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    • pp.649-665
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    • 2020
  • One of the most important issues in structural systems is evaluation of the margin of safety in low and mid-rise buildings against the progressive collapse mechanism due to the earthquake loads. In this paper, modeling of collapse propagation in structural elements of RC frame buildings is evaluated by tracing down the collapse points in beam and column structural elements, one after another, under earthquake loads and the influence of column removal is investigated on how the collapse expansion in beam and column structural members. For this reason, progressive collapse phenomenon is studied in 3-story and 5-story intermediate moment resisting frame buildings due to the corner and edge column removal in presence of the earthquake loads. In this way, distribution and propagation of the collapse in progressive collapse mechanism is studied, from the first element of the structure to the collapse of a large part of the building with investigating and comparing the results of nonlinear time history analyses (NLTHA) in presence of two-component accelograms proposed by FEMA_P695. Evaluation of the results, including the statistical survey of the number and sequence of the collapsed points in process of the collapse distribution in structural system, show that the progressive collapse distribution are special and similar in low-rise and mid-rise RC buildings due to the simultaneous effects of the column removal and the earthquake loads and various patterns of the progressive collapse distribution are proposed and presented to predict the collapse propagation in structural elements of similar buildings. So, the results of collapse distribution patterns and comparing the values of collapse can be utilized to provide practical methods in codes and guidelines to enhance the structural resistance against the progressive collapse mechanism and eventually, the value of damage can be controlled and minimized in similar buildings.

A 3D Posture Measuring and Display System for Hemiplegic Patients (편마비 환자를 위한 3차원 보행 자세 측정 및 디스플레이 시스템)

  • Hwang, Yong-Ha;Kim, Yong-Seok
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.8
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    • pp.119-127
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    • 2014
  • TIn this paper, Hemiplegic patients have gait characteristics different from normal persons. This paper presents a posture measuring and display system reflecting their characteristics. Patients wear 3 sensor modules on thigh, calf and foot. To enhance measuring precision of each sensor module, 3D accelerometer and 3D gyroscope are combined. Gait posture is displayed in 3D by modeling thigh, calf and foot as connected 3D objects based on data of the sensor modules. For convenience in inspecting unusual gait posture of hemiplegic patients, any view angle of the 3D display can be selected. In addition, the current gait phase of RLA(Rancho Los Amigos) gait cycle is determined and displayed in real-time by utilizing the posture information, The phase sequence and duration of each phase can be used in evaluating gait quality of patients.

Interpretation of Subsurface Structure by 2-D Gravity Modeling Study (중력탐사를 이용한 2차원 Modelling study에 의한 지질구조 해석)

  • Wee, Soo-Meen;Doh, Seong-Jae
    • Economic and Environmental Geology
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    • v.24 no.4
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    • pp.409-419
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    • 1991
  • A gravity survey was conducted in the western Marquette district, Michigan, to delineate the subsurface structure and the relationship of the Proterozoic Marquette Range Supergroup rocks (Precambrian X) and Archean basement (Precambrian W) where the Republic, Michigan River, and Marquette troughs join. In order to accomplish these purposes, three hundred and forty gravity stations were established in the area of $380km^2$. Positive anomalies are associated with the Precambria X, metasedimentary sequence which has a higer density with respect to the Precambrian W, basement rocks. The dominant positive gravity anomalies follow the axes of the three troughs which are filled with Precambrian X rocks. Subsurface structure was modelled by using the Talwani method. Gravity model studies indicate that the Marquette trough is asymetrically shaped and steeply dipping at the north edge except in the eastern part of the study area. The interpretive results obtained from two dimensional model studies suggest that the basement structure of the study area is relatively flat, and that the troughs were formed contemporaneously.

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Ultrasonic Characterization on Sequences of CFRP Composites Based on Modeling and Motorized System

  • Im, Kwang-Hee;David K. Hsu;Song, Sung-Jin;Park, Je-Woung;Sim, Jae-Ki;Yang, In-Young
    • Journal of Mechanical Science and Technology
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    • v.18 no.1
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    • pp.65-73
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    • 2004
  • Composites are a material class for which nondestructive material property characterization is as important as flaw detection. Laminates of fiber reinforced composites often possess strong in-plane elastic anisotropy attributable to the specific fiber orientation and layup sequence when waves are propagating in the thickness direction of composite laminates. So the layup orientation greatly influences its properties in a composite laminate. It could result in the part being .ejected and discarded if the layup orientation of a ply is misaligned. A nondestructive technique would be very beneficial, which could be used to test the part after curing and requires less time than the optical test. Therefore a ply-by-ply vector decomposition model has been developed, simplified, and implemented for composite laminates fabricated from unidirectional plies. This model decomposes the transmission of a linearly polarized ultrasound wave into orthogonal components through each ply of a laminate. Also in order to develop these methods into practical inspection tools, motorized system have been developed for different measurement modalities for acquiring ultrasonic signals as a function of in-plane angle. It is found that high probability shows between the model and tests developed in characterizing cured layups of the laminates.

Object Segmentation/Detection through learned Background Model and Segmented Object Tracking Method using Particle Filter (배경 모델 학습을 통한 객체 분할/검출 및 파티클 필터를 이용한 분할된 객체의 움직임 추적 방법)

  • Lim, Su-chang;Kim, Do-yeon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.8
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    • pp.1537-1545
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    • 2016
  • In real time video sequence, object segmentation and tracking method are actively applied in various application tasks, such as surveillance system, mobile robots, augmented reality. This paper propose a robust object tracking method. The background models are constructed by learning the initial part of each video sequences. After that, the moving objects are detected via object segmentation by using background subtraction method. The region of detected objects are continuously tracked by using the HSV color histogram with particle filter. The proposed segmentation method is superior to average background model in term of moving object detection. In addition, the proposed tracking method provide a continuous tracking result even in the case that multiple objects are existed with similar color, and severe occlusion are occurred with multiple objects. The experiment results provided with 85.9 % of average object overlapping rate and 96.3% of average object tracking rate using two video sequences.