• 제목/요약/키워드: Park's vector pattern

검색결과 43건 처리시간 0.024초

Development of Basic Application Software for KOMPSAT High Resolution Images

  • Park S. Y.;Lee K. J.;Kim Y. S.
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.509-511
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    • 2004
  • This paper outlines the development of image processing system, which will allow the general users in Government and Public organizations easily to use and apply KOMPSAT EOC images in their own business. The system includes an import/export module of EOC image distributed in Hierarchical Data Format (HDF) file and various image processing analysis modules. Especially, the image mosaic and subset functions are designed to use EOC image as an image map, generating the Ortho-image module. To update the various spatial data with EOC image, some essential modules such as change detection by pattern recognition, overlay between images and vector data, and modification of vector data are implemented in the system. The system is developed based on the user request analysis of government agency, and suited for more efficient use of satellite image in public applications. Such system is expected to contribute to practical application of KOMPSAT-2 that will be launched in 2005. Further efforts will be made to accommodate the KOMPSAT -2 MSC data.

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Lamb파와 SVM을 이용한 강구조물의 건전성 감시기법 (Health Monitoring of Steel Plates Using Lamb Waves and Support Vector Machines)

  • 박승희;윤정방;노용래
    • 한국지진공학회:학술대회논문집
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    • 한국지진공학회 2005년도 학술발표회 논문집
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    • pp.331-342
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    • 2005
  • This paper presents a non-destructive evaluation (NDE) technique for detecting damages on a jointed steel plate on the basis of the time of flight and wavelet coefficient, obtained from wavelet transforms of Lamb wave signals. Support vector machines (SVMs), which is a tool for pattern classification problems, was applied to the damage estimation. Two kinds of damages were artificially introduced by loosening bolts located in the path of the Lamb waves and those out of the path. The damage cases were used for the establishment of the optimal decision boundaries which divide each damage class's region from the intact class. In this study, the applicability of the SVMs was investigated for the damages in and out of the Lamb wave path. It has been found that the present methods are very efficient in detecting the damages simulated by loose bolts on the jointed steel plate.

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A Fault Severity Index for Stator Winding Faults Detection in Vector Controlled PM Synchronous Motor

  • Hadef, M.;Djerdir, A.;Ikhlef, N.;Mekideche, M.R.;N'diaye, A. O.
    • Journal of Electrical Engineering and Technology
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    • 제10권6호
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    • pp.2326-2333
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    • 2015
  • Stator turn faults in permanent magnet synchronous motors (PMSMs) are more dangerous than those in induction motors (IMs) because of the presence of spinning rotor magnets that can be turned off at will. Condition monitoring and fault detection and diagnosis of the PMSM have been receiving a growing amount of attention among scientists and engineers in the past few years. The aim of this study is to propose a new detection technique of stator winding faults in a three-phase PMSM. This technique is based on the image analysis and recognition of the stator current Concordia patterns, and will allow the identification of turn faults in the stator winding as well as its correspondent fault index severity. A test bench of a vector controlled PMSM motor behaviors under short circuited turn in two phases stator windings has been built. Some experimental results of the phase to phase short circuits have been performed for diagnosis purpose.

Support Vector Machine 기반 Genetic Algorithm과 Binary PSO를 이용한 최적의 EEG 채널 선택 기법 (Optimal EEG Channel Selection by Genetic Algorithm and Binary PSO based on a Support Vector Machine)

  • 김준엽;박승민;고광은;심귀보
    • 제어로봇시스템학회논문지
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    • 제19권6호
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    • pp.527-533
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    • 2013
  • BCI (Brain-Computer Interface) is a system that transforms a subject's brain signal related to their intention into a control signal by classifying EEG (electroencephalograph) signals obtained during the imagination of movement of a subject's limbs. The BCI system allows us to control machines such as robot arms or wheelchairs only by imaging limbs. With the exact same experiment environment, activated brain regions of each subjects are totally different. In that case, a simple approach is to use as many channels as possible when measuring brain signals. However the problem is that using many channels also causes other problems. When applying a CSP (Common Spatial Pattern), which is an EEG extraction method, many channels cause an overfitting problem, and in addition there is difficulty using this technique for medical analysis. To overcome these problems, we suggest an optimal channel selection method using a BPSO (Binary Particle Swarm Optimization), BPSO with channel impact factor, and GA. This paper examined optimal selected channels among all channels using three optimization methods and compared the classification accuracy and the number of selected channels between BPSO, BPSO with channel impact factor, and GA by SVM (Support Vector Machine). The result showed that BPSO with channel impact factor selected 2 fewer channels and even improved accuracy by 10.17~11.34% compared with BPSO and GA.

Expression of Bovine Growth Hormone Gene in a Baculovirus, Hyphantria cunea Nuclear Polyhedrosis Virus

  • Park, Kap-Ju;Lee, Keun-Kwang;Kang, Bong-Ju;Cha, Sung-Chul;Lee, Hyung-Hoan
    • 대한바이러스학회지
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    • 제28권2호
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    • pp.129-138
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    • 1998
  • Bovine growth hormone (bGH) gene was expressed in an insect Spodoptera frugiperda cell line using a Baculovirus, Hyphantria cunea nuclear polyhedrosis virus (HcNPV). The bGH gene in pbGH plasmid was sequenced and amplified by PCR technique with two primers containing NcoI sites. The bGH gene consisted of 654 bp (217 amino acid residues), the 5'-untranslated region of the cloned bGH cDNA contains 56 bp, and the 3'-untranslated region contains 145 bp and two pallindromic regions. The amplified bGH gene DNA fragment (654 bp) was inserted into the NcoI site of the pHcEVII vector, which was named pHcbGH. The pHcbGH transfer vector DNA and the wild type HcNPV DNA were cotransfected into S. frugiperda cells to construct a recombinant virus. Eight recombinant viruses were selected and named HcbGH. One clone, HcbGH-4-1 showed largest plaque size, therefore the recombinant virus was further studied. The multiplication pattern of the recombinant HcbGH-4-1 was similar to that of the wild type HcNPV. The bGH gene DNA in the HcbGH-4-1 recombinant was confirmed by Southern blot hybridization. The amount of the bGH (217 amino acid residues, 21 kDa) produced in S. frugiperda cells infected with the HcbGH-4-1 recombinant was approximately 5.5 ng per ml ($10^6$ cells) by radioimmunoassay.

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Construction and Characterization of a Recombinant Bioluminescence Streptomycetes for Potential Environmental Monitoring

  • Park, Hyun-Joo;Hwang, Keum-Ok;Kim, Eung-Soo
    • Journal of Microbiology and Biotechnology
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    • 제12권4호
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    • pp.706-709
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    • 2002
  • Bacterial bioluminescence has been known to be a highly valuable reporter system for its potential application as an effective and simple environmental monitoring method for toxic compounds. In this short report, we constructed a streptomycetes-Escherichia coli shuttle vector-containing bioluminescence system and evaluated its potential application for toxic compounds monitoring. The luxAB biolurninescence genes from Vibrio harveyi were cloned into a streptornycetes-E. coli shuttle vector (named pESK004) and functionally expressed in Streptomyces lividans. The recombinant S. lividans containing pESK004 exhibited an optimal biolurninescence at the optical density ($OD_{600\;nm}$) of 0.4-0.5 and aldehyde concentration of 0.005%. When the recombinant bioluminescence streptomycetes was exposed to a toxic compound such as heavy metals, chlorinated phenols, or pesticides, the bioluminescence was decreased proportionally to the concentration of toxic compound in the assay mixture. The $EC_{50}$ (effective concentration to decrease 50% of the bioluminescence prior to exposure) values in the recombinant biolurninescence streptomycetes for mercury, 2,4-dichlorophenol, and malathion were measured at 2.2 ppm, 144.0 ppm, and 82.4 ppm, respectively. The degree of sensitivity and specificity pattern toward these toxic compounds characterized in this recombinant bioluminescence streptomycetes were unique when compared with previously reported bacterial bioluminescence systems, and this revealed that a recombinant bioluminescence streptomycetes might provide an alternative or complementary system for potential environmental monitoring.

병렬 프로그램 로그 군집화 기반 작업 실행 시간 예측모형 연구 (Runtime Prediction Based on Workload-Aware Clustering)

  • 김은혜;박주원
    • 산업경영시스템학회지
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    • 제38권3호
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    • pp.56-63
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    • 2015
  • Several fields of science have demanded large-scale workflow support, which requires thousands of CPU cores or more. In order to support such large-scale scientific workflows, high capacity parallel systems such as supercomputers are widely used. In order to increase the utilization of these systems, most schedulers use backfilling policy: Small jobs are moved ahead to fill in holes in the schedule when large jobs do not delay. Since an estimate of the runtime is necessary for backfilling, most parallel systems use user's estimated runtime. However, it is found to be extremely inaccurate because users overestimate their jobs. Therefore, in this paper, we propose a novel system for the runtime prediction based on workload-aware clustering with the goal of improving prediction performance. The proposed method for runtime prediction of parallel applications consists of three main phases. First, a feature selection based on factor analysis is performed to identify important input features. Then, it performs a clustering analysis of history data based on self-organizing map which is followed by hierarchical clustering for finding the clustering boundaries from the weight vectors. Finally, prediction models are constructed using support vector regression with the clustered workload data. Multiple prediction models for each clustered data pattern can reduce the error rate compared with a single model for the whole data pattern. In the experiments, we use workload logs on parallel systems (i.e., iPSC, LANL-CM5, SDSC-Par95, SDSC-Par96, and CTC-SP2) to evaluate the effectiveness of our approach. Comparing with other techniques, experimental results show that the proposed method improves the accuracy up to 69.08%.

In Vivo Expression of the PTB-deleted Odin Mutant Results in Hydrocephalus

  • Park, Sunjung;Lee, Haeryung;Park, Soochul
    • Molecules and Cells
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    • 제38권5호
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    • pp.426-431
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    • 2015
  • Odin has been implicated in the downstream signaling pathway of receptor tyrosine kinases, such as the epidermal growth factor and Eph receptors. However, the physiologically relevant function of Odin needs to be further determined. In this study, we used Odin heterozygous mice to analyze the Odin expression pattern; the targeted allele contained a ${\beta}$-geo gene trap vector inserted into the 14t intron of the Odin gene. Interestingly, we found that Odin was exclusively expressed in ependymal cells along the brain ventricles. In particular, Odin was highly expressed in the subcommissural organ, a small ependymal glandular tissue. However, we did not observe any morphological abnormalities in the brain ventricles or ependymal cells of Odin null-mutant mice. We also generated BAC transgenic mice that expressed the PTB-deleted Odin (dPTB) after a floxed GFP-STOP cassette was excised by tissue-specific Cre expression. Strikingly, Odin-dPTB expression played a causative role in the development of the hydrocephalic phenotype, primarily in the midbrain. In addition, Odin-dPTB expression disrupted proper development of the subcommissural organ and interfered with ependymal cell maturation in the cerebral aqueduct. Taken together, our findings strongly suggest that Odin plays a role in the differentiation of ependymal cells during early postnatal brain development.

Digital Signage service through Customer Behavior pattern analysis

  • Shin, Min-Chan;Park, Jun-Hee;Lee, Ji-Hoon;Moon, Nammee
    • 한국컴퓨터정보학회논문지
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    • 제25권9호
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    • pp.53-62
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    • 2020
  • 최근 연구된 상품 추천 서비스들은 고객들의 구매 이력을 통해서만 추천이 이루어졌다. 본 논문에서는 구매 이력을 통해 추천뿐만 아니라 고객이 상품을 고를 때 취하는 행동 패턴을 분석하여 관심도가 높은 광고를 노출하는 행동 패턴 분석 기반 디지털 사이니지 서비스를 제안한다. 이 서비스는 고객행동 패턴을 분석하여 실질적으로 관심을 가지는 상품에 대해 관심도를 추출한다. 추출된 관심도와 고객들의 구매 이력을 Wide & Deep 모델을 통해 학습하고, 이를 바탕으로 MF(Matrix Factorization) 모델을 통해 다른 상품들의 희소 벡터를 예측한다. 예측된 상품 관심도에 대한 순위를 도출하고, 적합한 광고를 노출하기 위해 고객과 상호 작용할 수 있는 인도어 사이니지를 활용한다. 본 논문의 서비스를 통해 온라인뿐만이 아닌 오프라인 환경에서도 고객의 관심 정보를 파악하고 단순히 무작위로 노출하는 광고가 아닌 고객에게 적합한 광고를 제공하여 만족도 높은 구매 환경이 조성될 것이다.

돼지감자 유래 1-sst와 1-fft 유전자의 형질전환 발현에 의한 벼의 fructan 생합성 증진 (Increment of fructan biosynthesis in rice by transformation of 1-sst and 1-fft genes isolated from jerusalem artichoke (Helianthus tuberosus L.))

  • 강권규;송범헌;이경아;이혜정;박진하;정유진;조용구
    • Journal of Plant Biotechnology
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    • 제37권1호
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    • pp.102-109
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    • 2010
  • Fructan은 식물이 저온에 노출 되었을 때 다양한 조직에 축적됨으로써 여러 스트레스에 저항을 나타내는 것으로 알려져 있다. 본 연구에서는 fructan 생합성 경로에 관여하는 효소인 1-sst와 1-fft 유전자를 돼지감자 구근으로 부터 분리하였다. 분리한 1-sst와 1-fft 유전자는 Ti-plasmid vector인 KJG V-B2 vector에 35S promoter에 의해 발현할 수 있도록 형질전환용 벡터를 구축하였다. Agrobacterium tumefaciens법에 의해 1-sst와 1-fft 유전자의 형질전환 벼를 육성하였고, 1-sst, 1-fft 및 HPT 유전자 특이적인 primer를 사용하여 PCR 분석한 결과 유전자가 벼의 callus 게놈내에 안정적으로 삽입되었음을 확인하였다. 또한 Southern 및 RT-PCR 분석에서도 같은 결과를 얻었다. 형질전환 벼의 후대에서도 안정적으로 유전자가 발현되는 homo 계통을 선발하였고 이를 이용해 1-sst와 1-fft 유전자의 삽입이 확인된 형질전환 벼에서 유전자의 발현양상을 알아보기 위해 RT-PCR 및 Real-Time PCR를 수행한 결과 형질전환 벼에서 1-sst와 1-fft 유전자 모두 안정적으로 발현되고 있음을 확인하였다. 또한 1-sst와 1-fft 유전자가 삽입된 형질전환 벼를 이용한 기능 분석 연구를 통해 식물체가 저온에 노출되었을 때 1-sst와 1-fft의 작용에 의해 fructan 생합성량이 증가됨을 알 수 있었다. 따라서 본 연구를 통해 얻어진 fructan 생합성 관련 유전자가 삽입된 형질전환 벼는 탄수화물대사 및 저온, 건조 등의 환경 stress에 대한 내성에 대해 좋은 육종 소재로 이용 가능할 것으로 사료된다.