• Journal of the Korean Data and Information Science Society
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• 제17권2호
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• pp.475-486
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• 2006

Space time series data can be viewed either as a set of time series collected simultaneously at a number of spatial locations or as sets of spatial data collected at a number of time points. The major purpose of this article is to formulate a class of space time autoregressive moving average (STARMA) model, to discuss some of the their statistical properties such as model identification approaches, some procedure for estimation and the predictions. For illustration, we apply this STARMA model to the mumps data. The data set of mumps cases consists of the number of cases of mumps reported from twelve states monthly over the years 1969-1988.

• BMB Reports
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• 제36권5호
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• pp.508-513
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• 2003

The bacterium Bacillus thuringiensis produces toxin inclusions that are deleterious to target insect larvae. These toxins are believed to interact with a specific receptor protein(s) that is present on the gut epithelial cells of the larvae. In various insect species (in particular those belonging to the lepidopteran class), aminopeptidase N (APN) is one of the two receptor proteins that are considered to be involved in toxin-receptor interactions. However, in mosquitoes, the nature and identity of the receptor protein is unknown. Here, using RT-PCR, we identified two isoforms of the APN transcripts in the Aedes aegypti mosquito larval midgut. These results are congruent with a previous report of multiple isoforms of the APN gene expression in lepidopteran larvae. Which of the two isoforms (or other yet unidentified receptor proteins) is involved in the killing of mosquito larvae remains to be elucidated.

• BMB Reports
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• 제45권11호
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• pp.604-611
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• 2012

Recent advances in genome and transcriptome analysis have enabled identification of numerous members of a new class of noncoding RNA, long noncoding RNA (lncRNA). lncRNAs are broadly defined as RNA molecules greater than 200 nt in length and lacking an open reading frame. Recent studies provide evidence that lncRNAs play central roles in a wide range of cellular processes through interaction with key component proteins in the gene regulatory system, and that alteration of their cell- or tissue-specific expression and/or their primary or secondary structures is thought to promote cell proliferation, invasion and metastasis. The biological and molecular characteristics of the large majority of lncRNAs remains unknown, and it is anticipated that improved understanding of the roles played by lncRNAs in cancer will lead to the development of novel biomarkers and effective therapeutic strategies.

• Smart Structures and Systems
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• 제6권2호
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• pp.101-113
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• 2010

This paper presents the results of a series of experiments conducted to model a magnetorheological damper operated in shear mode. The prototype MR damper consists of two parallel steel plates; a paddle covered with an MR fluid coated foam is placed between the plates. The force is generated when the paddle is in motion and the MR fluid is reached by the magnetic field of the coil in one end of the device. Two approaches were considered in this experiment: a parametric approach based on the Bingham, Bouc-Wen and Hyperbolic Tangent models and a non parametric approach based on a Neural Network model. The accuracy to reproduce the MR damper behavior is compared as well as some aspects related to performance are discussed.

• Journal of Applied Biological Chemistry
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• 제48권2호
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• pp.101-104
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• 2005

DXS catalyzes the first step of MEP pathway. Escherichia coli disruptants defective in dxs were constructed by insertional mutation and characterized. Selected disruptant, DXM3, was auxotrophic for DX or ME. Putative class 1 DXS ORF from Ginkgo biloba was shown to rescue DXM3 grown without DX or ME supplementation. The putative ORF was thus confirmed as DXS1. The disruptant was demonstrated to be useful for DSX screening.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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• pp.469-472
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• 1988

This paper deals with signal processing and pattern recognition for the pulsed doppler radar. In order to identify the class of moving targets detected by radar, linear predictive analysis is utilized to extract reflection coefficients of each radar signal as features, and Bayes decision theory is applied to classify them.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 춘계학술발표대회
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• pp.795-798
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• 2007

RFID 리더기가 영역내의 다수의 태그를 인식하기 위해선 충돌방지 알고리즘이 필수적으로 요구된다. 본 논문은 Auto ID Class 0에서 정의한 충돌방지 알고리즘인 Bit-by-Bit 이진트리 알고리즘(BBB)의 충돌 위치를 스택에 저장하고 이를 통해 다음 질의어를 결정함으로써 성능이 크게 개선된 Stack-bit-by-bit(SBBB) 알고리즘을 제안한다. 시뮬레이션을 통한 검증결과 질의-응답 횟수, 질의어의 크기, 응답어의 크기의 모든 면에서 성능이 개선된 것을 확인할 수 있었다.

• Structural Engineering and Mechanics
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• 제49권3호
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• pp.411-425
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• 2014

This paper presents the processing of nonlinear features associated with a damage event by quadratic time-frequency distributions for damage identification in a frame structure. A time-frequency distribution is a function which distributes the total energy of a signal at a particular time and frequency point. As the occurrence of damage often gives rise to non-stationary, nonlinear structural behavior, simultaneous representation of the dynamic response in the time-frequency plane offers valuable insight for damage detection. The applicability of the bilinear time-frequency distributions of the Cohen class is examined for the damage assessment of a frame structure from the simulated acceleration data. It is shown that the changes in instantaneous energy of the dynamic response could be a good damage indicator. Presence and location of damage can be identified using Choi-Williams distribution when damping is ignored. However, in the presence of damping the Page distribution is more effective and offers better readability for structural damage detection.

• 전자공학회논문지SC
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• 제38권5호
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• pp.14-22
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• 2001

본 논문에서는 비선형 다변수 시스템의 신경망 식별과 신경망제어기 설계방법을 제안한다. 신경망제어기는 독립된 여러 개의 선형제어기와 하나의 신경회로망으로 구서오디며, 신경회로망은 간접 제어방식에 의해 학습된다. 제안한 제어방식을 IBM 컴퓨터 상에 구현하고 물체를 공유한 막대부하 시스템의 속도제어에 적용한다. 신경회로망의 식별능력과 제안한 제어기의 성능을 실험결과로서 살펴보고 기존의 선형제어기와 비교함으로서 제안한 제어기의 우수함을 확인한다.

• 천문학회지
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• 제42권4호
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• pp.81-91
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• 2009

We make a new catalog of AGB stars in our Galaxy from the sources listed in the Infrared Astronomical Satellite (IRAS) point source catalog (PSC) compiling the lists of previous works with verifying processes. We verify the class identification of AGB stars into oxygen-rich and carbon-rich stars using the information from recent investigations. For the large sample of AGB stars, we present infrared two-color diagrams from the observations at near infrared bands and IRAS PSC. On the two-color diagrams, we plot the tracks of theoretical radiative transfer model results with increasing dust shell optical depths. Comparing the observations with the theoretical tracks, we discuss the meaning of the infrared two-color diagrams.