• Title/Summary/Keyword: 2-D transformation

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Analysis of 3-phase Induction Motor considering Current Regulator using DQ Transformation with Matrix Vector

  • Hong, Sun-Ki;Na, Yoo-Chung
    • Journal of international Conference on Electrical Machines and Systems
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    • v.3 no.2
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    • pp.116-120
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    • 2014
  • 3-phase Induction machines are being used in industry and dq transformation from 3 phase of a, b, c is commonly used to analyze these machines. The equivalent circuits of d and q axis are however generally cross coupled and not simple to analyze. In this study, an analysis method of 3ph induction motor considering current regulator using dq transformation and matrix vector is proposed and it can explain the 3ph induction motor physically. This model does not need the separating process of d and q components. With this technique, the model becomes simple, is easy to understand in physical, and can get the same results with those from the other dq models. These simulation results of the proposed model are compared with those of other models for the conformation of the proposed method.

The Effect of Transformation on the Virulence of Streptococcus pneumoniae

  • Zhang Xue-Mei;Yin Yi-Bing;Zhu Dan;Chen Bao-De;Luo Jin-Yong;Deng Vi-Ping;Liu Ming-Fang;Chen Shu-Hui;Meng Jiang-Ping;Lan Kai;Huang Yuan-Shuai;Kang Ge-Fei
    • Journal of Microbiology
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    • v.43 no.4
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    • pp.337-344
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    • 2005
  • Although pneumococcus is one of the most frequently encountered opportunistic pathogen in the world, the mechanisms responsible for its infectiveness have not yet been fully understood. In this paper, we have attempted to characterize the effects of pneumococcal transformation on the pathogenesis of the organism. We constructed three transformation-deficient pneumococcal strains, which were designated as Nos. 1d, 2d, and 22d. The construction of these altered strains was achieved via the insertion of the inactivated gene, comE, to strains 1, 2 and 22. We then conducted a comparison between the virulence of the transformation-deficient strains and that of the wild-type strains, via an evaluation of the ability of each strain to adhere to endothelial cells, and also assessed psaA mRNA expression, and the survival of hosts after bacterial challenge. Compared to what was observed with the wild-type strains, our results indicated that the ability of all of the transformation-deficient strains to adhere to the ECV304 cells had been significantly reduced (p < 0.05), the expression of psaA mRNA was reduced significantly (p < 0.05) in strains 2d and 22d, and the median survival time of mice infected with strains Id and 2d was increased significantly after intraperitoneal bacterial challenge (p < 0.05). The results of our study also clearly indicated that transformation exerts significant effects on the virulence characteristics of S. pneumoniae, although the degree to which this effect is noted appears to depend primarily on the genetic background of the bacteria.

A New Shape-Based Object Category Recognition Technique using Affine Category Shape Model (Affine Category Shape Model을 이용한 형태 기반 범주 물체 인식 기법)

  • Kim, Dong-Hwan;Choi, Yu-Kyung;Park, Sung-Kee
    • The Journal of Korea Robotics Society
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    • v.4 no.3
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    • pp.185-191
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    • 2009
  • This paper presents a new shape-based algorithm using affine category shape model for object category recognition and model learning. Affine category shape model is a graph of interconnected nodes whose geometric interactions are modeled using pairwise potentials. In its learning phase, it can efficiently handle large pose variations of objects in training images by estimating 2-D homography transformation between the model and the training images. Since the pairwise potentials are defined on only relative geometric relationship betweenfeatures, the proposed matching algorithm is translation and in-plane rotation invariant and robust to affine transformation. We apply spectral matching algorithm to find feature correspondences, which are then used as initial correspondences for RANSAC algorithm. The 2-D homography transformation and the inlier correspondences which are consistent with this estimate can be efficiently estimated through RANSAC, and new correspondences also can be detected by using the estimated 2-D homography transformation. Experimental results on object category database show that the proposed algorithm is robust to pose variation of objects and provides good recognition performance.

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Establishment of Transformation Systems of Zoysiagrass by Particle Bombardment (유전자총을 이용한 잔디 형질전환 체계 확립)

  • 임선형;강병철;남궁용;신홍균
    • Asian Journal of Turfgrass Science
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    • v.15 no.1
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    • pp.9-14
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    • 2001
  • Callus formation and plant regeneration from the seeds of zoysiagrass cv. Zenith was tested on MS basal medium supplemented with various concentrations of 2,4-dichlorophenoxyacetic acid(2,4-D) and of several cytokinins. A concentration of 1mg/L 2,4-D on medium stimulated callus formation. In the presence of 5mg/L 2,4-D, addition of 1mg/L kinetin significantly enhanced callus formation and plant regeneration over 2,4-D alone. To transfer foreign DNA into turfgrass, parameters for the bombardment of embryogenic callus with the particle bombardment were partially optimized using transient expression assay of a $chimeric \beta$-glucuronidase(GUS) gene driven by the CaMV 35S promoter. GUS gene was strongly expressed at helium pressure 1,100 psi and 6~9cm target distance.

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Scheduling of Workflows under Resource Allocation Constraints using CTR (CTR을 이용한 자윈 할당 제약조건 하에서 워크플로우의 스케줄링)

  • Koh Jae-Jin;An Hyoung-Keun;Lee Dan-Young
    • The KIPS Transactions:PartD
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    • v.13D no.2 s.105
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    • pp.191-198
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    • 2006
  • Many enterprises have introduced workflow to enhance work efficiency and support effective work processes in their various work environments. Recently, Business Process Management(BPM), an extension of workflow, is spotlighted in enterprise software markets Although woklflow plays an important role in Business Process Managements, researches in workflow are mostly concentrated on temporal constraints which finds exact execution sequences for complicated jobs. On that reason, majority of workflow scheduling has concentrated on modeling of various resources which should be handled and the interest for workflow scheduling under constraints related to resources is rather unsatisfactory In this paper we presents the Transformation Template based on Concurrent Transaction Logic(CTR) which is suitable for scheduling workflows with resource allocation constraints, and the logical framework. The Transformation Template consists of a Workflow Transformation Template and a Constraint Transaction Template. Especially the Transformation Template can be conveniently used to logically represent new workflows under the existing resource allocation constraints.

Simultaneous Control of Phase Transformation and Crystal of Amorphous TiO2 Coating on MWCNT Surface

  • Cha, Yoo Lim;Park, Il Han;Moon, Kyung Hwan;Kim, Dong Hwan;Jung, Seung Il;Yoon, Young Soo
    • Journal of the Korean Ceramic Society
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    • v.55 no.6
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    • pp.618-624
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    • 2018
  • We developed a mass production method that simultaneously controls the phase transformation and crystal size of $TiO_2$ coatings on multiwalled carbon nanotubes (MWCNTs). Initially, MWCNTs were successfully coated with amorphous 15-20-nm-thick $TiO_2$ by an in-situ sol-gel method. As the calcination temperature increased in both air and argon atmospheres, the amorphous $TiO_2$ was gradually transformed into the fully anatase phase at approximately $600^{\circ}C$, a mixture of the anatase and rutile phases at approximately $700^{\circ}C$, and the fully rutile phase above approximately $800^{\circ}C$. The crystal size increased with increasing calcination temperature. Moreover, above $600^{\circ}C$, the size of crystals formed in air was approximately twice that of crystals formed in argon. The reason is thought to be that MWCNTs, which continuously supported the stresses associated with the reconstructive phase transformation, disappeared owing to complete oxidation in air at these high temperatures.

Thermal Behavior of Langmuir-Blodgett Film of Poly(tert-butyl methacrylate) by Principal Component Analysis Based Two-Dimensional Correlation Spectroscopy

  • Jung, Young-Mee;Kim, Seung-Bin
    • Bulletin of the Korean Chemical Society
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    • v.26 no.12
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    • pp.2027-2032
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    • 2005
  • This paper demonstrates details of thermal behavior of Langmuir-Blodgett (LB) film of poly(tert-butyl methacrylate) (PtBMA) by using the principal component analysis based two-dimensional correlation spectroscopy (PCA2D) through eigenvalue manipulating transformation (EMT). By uniformly lowering the power of a set of eigenvalues associated with the original data, the smaller eigenvalues becomes more prominent and the subtle contribution from minor components is now highlighted much more strongly than the original data. Thus, the subtle difference of thermal behavior of LB film of PtBMA from minor components, which is not readily detectable in the conventional 2D correlation analysis, is much more noticeable than the original data. PCA2D correlation spectra with EMT operation for the temperature-dependent IR spectra of LB film of PtBMA reveal the hidden property of phase transition processes during heating.

An Ensemble Classifier using Two Dimensional LDA

  • Park, Cheong-Hee
    • Journal of Korea Multimedia Society
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    • v.13 no.6
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    • pp.817-824
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    • 2010
  • Linear Discriminant Analysis (LDA) has been successfully applied for dimension reduction in face recognition. However, LDA requires the transformation of a face image to a one-dimensional vector and this process can cause the correlation information among neighboring pixels to be disregarded. On the other hand, 2D-LDA uses 2D images directly without a transformation process and it has been shown to be superior to the traditional LDA. Nevertheless, there are some problems in 2D-LDA. First, it is difficult to determine the optimal number of feature vectors in a reduced dimensional space. Second, the size of rectangular windows used in 2D-LDA makes strong impacts on classification accuracies but there is no reliable way to determine an optimal window size. In this paper, we propose a new algorithm to overcome those problems in 2D-LDA. We adopt an ensemble approach which combines several classifiers obtained by utilizing various window sizes. And a practical method to determine the number of feature vectors is also presented. Experimental results demonstrate that the proposed method can overcome the difficulties with choosing an optimal window size and the number of feature vectors.

Research on Digital Twin Automation Techniques in the Construction Industry through 2D Design Drawing Data Extraction and 3D Spatial Data Construction (2D 설계도면 데이터 추출 및 3차원 공간 데이터 구축을 통한 건설산업 디지털 트윈 자동화 기법 연구)

  • Lee, Jongseo;Moon, Il-YOUNG
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.609-612
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    • 2021
  • Government agencies and companies are establishing and promoting digital transformation strategies in various industrial fields, and are leading the era of the 4th industrial revolution through successful technological innovation. In this time of change, we can see many stories of global companies Nike and Starbucks as successful examples of digital transformation. These two companies are showing successful results through digital transformation. Domestic companies are also conducting digital innovation based on mobile, cloud, IoT, artificial intelligence, and AR/VR technologies, and are establishing RPA (Robotic Process Automation) processes for high efficiency and high productivity. In this paper, we introduce the 3D digital twin space construction automation process technique using data from the entire construction cycle of design, construction, and maintenance of the construction industry, and look into the digital transformation strategy of the construction industry in the future.

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A Study on Fast Datum Transformation model for GIS (지리정보시스템을 위한 고속 측지계 변환 모델 연구)

  • Suh, Yong-Cheol
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.3
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    • pp.48-56
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    • 2004
  • This research focuses on the development of a fast datum transformation model to be used in GIS that utilizes real-time data transformation. Instance, when a GIS data constructed according to a datum is conformed to another datum, instead of transforming the axes of the original data, the data is transformed right before the results are reflected on the monitor. In this research, the prospects of calculating transformation parameters for every grid cells on the area based on two-dimensional conformal transformation model in order to decrease real-time datum transformation time while maintaining a high accuracy has been investigated. Research results showed that for a fixed area, the accuracies of the two-dimensional conformal transformation and the three-dimensional datum transformation, which requires more computing time, were almost equal and fast transformation speed, high accuracy real-time datum transformation is made feasible by implementing the grid-divided two-dimensional conformal transformation model.

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