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INFRARED SUPERNOVA REMNANTS IN THE SPITZER GLIMPSE FIELD

  • Lee, Ho-Gyu
    • Journal of The Korean Astronomical Society
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    • v.38 no.4
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    • pp.385-414
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    • 2005
  • We have searched for infrared emission from supernova remnants (SNRs) included in the Spitzer Galactic Legacy Infrared Mid-Plane Survey Extraordinaire (GLIMPSE) field. At the positions of 100 known SNRs, we made 3.6, 4.5, 5.8, and $8.0{\mu}m$ band images covering the radio continuum emitting area of each remnant. In-depth examinations of four band images based on the radio continuum images of SNRs result in the identification of sixteen infrared SNRs in the GLIMPSE field. Eight SNRs show distinct infrared emission in nearly all the four bands, and the other eight SNRs are visible in more than one band. We present four band images for all identified SNRs, and RGB-color images for the first eight SNRs. These images are the first high resolution (<2') images with comparative resolution of the radio continuum for SNRs detected in the mid-infrared region. The images typically show filamentary emission along the radio enhanced SNR boundaries. Most SNRs are well identified in the 4.5 and $5.8{\mu}m$ bands. We give a brief description of the infrared features of the identified SNRs.

QUANTITATION OF BARBITURATES IN URINE BY GC/MS AND ITS COMPARISON TO FLUORESCENCE POLARIZATION IMMUNOASSAY

  • Choo, Hea-Young;Park, Jeongeun;Park, Myung-Ja
    • Toxicological Research
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    • v.7 no.1
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    • pp.29-35
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    • 1991
  • Barbiturates are commonly abused tranquilizer and a rapid method to determine these drugs in biological samples is needed. In this study, was screened barbiturates in urine specimens by the fluorescence polarization immunoassay method(FPIA) and the positive samples were confirmed and identified by the more definitive GC/MS method. Fifteen positive smples which have barbiturate values higher than 0.5 ng/ml were analyzed by the GC/MS method. Eight samples were identified as phenobarbital and five samples were identified as crotilbarbitone.

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Pharmacognostical Studies on Polygonum Species (호장엽의 생약학적 연구)

  • Kim, Tae-Hee;Lee, Chong-Hee
    • Korean Journal of Pharmacognosy
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    • v.4 no.2
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    • pp.75-82
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    • 1973
  • In Korea, two species of Ho-chang-Ho-chang $(Polygonum\;cuspidatum \;S_{IEB}.\;et\;Z_{UCC}.)$ and Wang-Ho-chang $(Polygonum \;sachalinense\;F_R.\;S_{CHM}.)$-had been identified, but the components of the leaves of Polygonum species growing in Korea had never been reported. The authors examined the anatomical characteristics of Korean Polygonum species, identified the flavonoids contained in their leaves and obtained the following results: Korean Polygonum species should be divided into three species: $Polygonum\;cuspidatum\;S_{IEB}.\;et\;Z_{UCC}.,\;P. \;sachalinense\;F_R.\;S_{CHM}\;and\;P.\;elliptica\;M_{IGO}$. The last one was illustrated in the report. P. cuspidatum contained reynoutrin and quercitrin, but no isoquercitrin could be identified. P. sachalinense also contained both reynoutrin and quercitrin. P. elliptica, which had never been studied, included the same flavonoids.

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Comparison of the Volatile Components of Korean Ginger (Zingiber officinal Roscoe) by Different Extraction Methods (추출방법에 따른 생강의 휘발성 성분 조성 비교)

  • 이재곤;장희진;곽재진;이동욱
    • The Korean Journal of Food And Nutrition
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    • v.13 no.1
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    • pp.66-70
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    • 2000
  • The volatile components of Korea ginger were compared by using different isolation methods, head-space sampling procedure(HSSP), simultaneous distillation extrction(SDE) and soild pahse micro-extractions(SPME). Sixty-one components were identified by GC-MSD in the extracts obtained from each extraction methods. However, the components identified showed a difference in their composition wit the extraction methods. In the extract by HSSP, fifty-five components including a high volatile compound such as acetaldehyde, ethylacetate, 2,3-butandione were detected, and thirty-one components were identified in the extract by SPME. While, the low volatile components such as elemol, zingiberenol and ${\beta}$-eudesmol were detected only in the extract by SDE method. The results suggest that SDE method is the best for the analysis of low volatile components, whereas HSSP is a proper method for the analysis of high volatile components from natural resources.

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On parameter identification algorithm using VSS theory (가변구조이론에 의한 파라미터 identification 알고리즘)

  • 심귀보;한동균;전홍태
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.927-930
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    • 1992
  • VSS identification approach is based on following concept, i.e. while in sliding motion, the switching of control inputs refects system uncertainites. Therefore, if there exist some operations that make the information form the switiching control inputs be achievable, then the unknown parameters can be actually identification mechanisms which can fully make use of the available information. Two different types of VSS identifiers are taken into consideration. The first type uses adjustable model whose structure is similar to that of identified systems. From the viewpoint of contro, this type of VSS identifiers may be regraded as direct identifier vecause the identified system is handled as an open loop. On the other hand, if the identified system is controlable in the sense of VSS(sliding mode can be generated through chosing control inputs), the second type of VSS identifier, the indirect VSS identifier, can be constructed according to the linerized system strucutre while staying in sliding mode. Therefroe it can be applied to some nonlinear systems which are not linear in parametric space by general identification algorithms, whereas linear in parametric space when sliding mode is existed.

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A Study on On-line modeling of Fuzzy System via Extended Kalman Filter (확장 칼만필터를 이용한 온라인 퍼지 모델링 알고리즘에 대한 연구)

  • 김은태
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.40 no.5
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    • pp.250-258
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    • 2003
  • In this paper, an explanation regarding on-line identification of a fuzzy system is presented. The fuzzy system to be identified is assumed to be in the type of singleton consequent parts and be represented by a linear combination of fuzzy basis functions. For on-line identification, squared-cosine membership function is introduced to reduce the number of parameters to be identified and make the system consistent and differentiable. Then the parameters of the fuzzy system are identified on-line by the gradient search method and Extended Kalman Filter. Finally, a computer simulation is peformed to illustrate the validity of the suggested algorithms.

A Preliminary Analysis of Secreted Proteins from Bifidobacterium pseudocatanulatum BP1 by Two-Dimensional Gel Electrophoresis

  • Moon, Gi-Seong
    • Preventive Nutrition and Food Science
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    • v.13 no.4
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    • pp.366-369
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    • 2008
  • Proteins secreted from bifidobacteria are believed to play important roles in human intestines via interacting with different host cells. In this respect, proteins secreted from Bifidobacterium pseudocatanulatum BP1, which has been rarely studied, were analyzed by two-dimensional gel electrophoresis (2DE). Using this approach, approx-imately 21 protein spots on a 2DE gel were detected and 10 of these spots were identified by mass spectrometry. Five spots were identified as hypothetical proteins and the remaining 5 spots were identified as a putative iron-side-rophore binding lipoprotein, a short-chain dehydrogenase/reductase SDR, an exonuclease, cytochrome P450 hydroxylase, and a putative dehydrogenase. The identification of secreted putative iron-siderophore binding lipoprotein was highly interesting since it is an important protein that is involved in ferric iron uptake in pathogenic bacteria. This finding could accelerate studies on the probiotic effect of Bifidobacterium by explaining the competition between bifidobacteria and intestinal pathogens for ferric iron.

Pathway and Network Analysis in Glioma with the Partial Least Squares Method

  • Gu, Wen-Tao;Gu, Shi-Xin;Shou, Jia-Jun
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.7
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    • pp.3145-3149
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    • 2014
  • Gene expression profiling facilitates the understanding of biological characteristics of gliomas. Previous studies mainly used regression/variance analysis without considering various background biological and environmental factors. The aim of this study was to investigate gene expression differences between grade III and IV gliomas through partial least squares (PLS) based analysis. The expression data set was from the Gene Expression Omnibus database. PLS based analysis was performed with the R statistical software. A total of 1,378 differentially expressed genes were identified. Survival analysis identified four pathways, including Prion diseases, colorectal cancer, CAMs, and PI3K-Akt signaling, which may be related with the prognosis of the patients. Network analysis identified two hub genes, ELAVL1 and FN1, which have been reported to be related with glioma previously. Our results provide new understanding of glioma pathogenesis and prognosis with the hope to offer theoretical support for future therapeutic studies.

System Identification of Flexible beam Using Eigensystem Realization Algorithm (Eigensystem Realization Algorithm을 이용한 유연한 빔의 운동방정식 규명)

  • Lee, In-Sung;Lee, Jae-Won;Lee, Soo-Cheol
    • Proceedings of the KSME Conference
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    • 2000.04a
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    • pp.566-572
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    • 2000
  • The System identification is the process of developing or improving a mathematical model of a physical system using experimental data of the input, output and noise relationship. The field of system identification has been an important discipline within the automatic control area. The reason is the requirement that mathematical models having a specified accuracy must be used to apply modem control methods. In this paper, it is confirmed that we can obtain transfer function of flexible beam that is expressed in the forms of identified state-space system matrix A, B, C, D and identified observer gain G using Eigensystem Realization Algorithm including singular value decomposition. And these matrices can be applied to the automatic control. In addition to, it is also confirmed that transfer function can express a system using identified observer gain G, in spite of a noisy data or a periodic disturbance.

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A Study of Success Factors Influencing Each Phase of ERP System Implementation (전사적 자원관리 시스템 구현의 성공요인: Markus의 단계별 성공요인에 관한 실증분석)

  • Lee Jae-Jung
    • The Journal of Information Systems
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    • v.15 no.2
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    • pp.153-171
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    • 2006
  • The objective of this research project is empirically investigating factors influencing EPP system implementation based on the degree of volatility of business environment. The results show that computes with low volatility have successfully implement ERP system compared to companies with high volatility. This research project also identified success factors of each phased chartering phase, executive participation sound assessment of business condition, good understanding of ERP system and carefully constructed case are identified as success factors. During project expenditures, participation of various groups, technical resources, prefect and change management are found to be important for successful construction. Trained users, integration of systems, well-designed process and technical and human resource are found to be success factors during shakedown phase. Managers commitment technical infrastructure, system flexibility, and adequate resource for maintenance and renewing system are identified as success factors of onward and upward phase.

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