• Title/Summary/Keyword: X-vector

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Development of a Plasmid Vector for Overproduction of $\beta$-Galactosidase in Escherichia coli by Using Genetic Components of groEx from Symbiotic Bacteria in Amoeba proteus

  • Lee, Jung-Eun;Ahn, Eun-Young;Ahn, Tae-In
    • Journal of Microbiology and Biotechnology
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    • v.8 no.5
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    • pp.509-516
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    • 1998
  • A plasmid vector, pXGPRMATG-lac-Tgx, was developed for overproduction of $\beta$-galactosidase in Escherichia coli using the genetic components of groEx, a heat-shock gene cloned from symbiotic X-bacteria in Amoeba proteus. The vector is composed of intragenic promoters P3 and P4 of groEx, the structural gene of lac operon, transcription tenninator signals of lac and groEx, and ColEl and amp'of pBluescript SKII. The optimized host, E. coli DH5$\alpha$, transfonned with the vector constitutively produced 117,310-171,961 Miller units of $\beta$-galactosidase per mg protein in crude extract. The amount of enzyme in crude extract was 53% of total water-soluble proteins. About 43% of the enzyme could be purified to a specific activity of 322,249 Miller units/mg protein after two-fold purification, using two cycles of precipitation with ammonium sulfate and one step of gel filtration. Thus, the expression system developed in this study presents a low-cost and simple method for purifying overproduced $\beta$-galactosidase in E. coli.

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Map Building and Localization Based on Wave Algorithm and Kalman Filter

  • Saitov, Dilshat;Choi, Jeong Won;Park, Ju Hyun;Lee, Suk Gyu
    • IEMEK Journal of Embedded Systems and Applications
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    • v.3 no.2
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    • pp.102-108
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    • 2008
  • This paper describes a mapping and localization based on wave algorithm[11] and Kalman filter for effective SLAM. Each robot in a multi robot system has its own task such as building a map for its local position. By combining their data into a shared map, the robot scans actively seek to verify their relative locations. For simultaneous localization the algorithm which is well known as Kalman Filter (KF) is used. For modelling the robot position we wish to know three parameters (x, y coordinates and its orientation) which can be combined into a vector called a state variable vector. The Kalman Filter is a smart way to integrate measurement data into an estimate by recognizing that measurements are noisy and that sometimes they should ignored or have only a small effect on the state estimate. In addition to an estimate of the state variable vector, the algorithm provides an estimate of the state variable vector uncertainty i.e. how confident the estimate is, given the value for the amount of error in it.

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Retrovirus Vector-Mediated Gene Transfer to the Chicken Blastodermal Cells Cultured In Vitro (체외 배양된 닭 배반엽 세포에 대한 Retrovirus Vector를 이용한 유전자 전이)

  • Park, Sung-Joon;Koo, Bon-Chul;Kwon, Mo-Sun;Chae, Whi-Gun;Kim, Te-Oan
    • Reproductive and Developmental Biology
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    • v.34 no.3
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    • pp.257-262
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    • 2010
  • The purpose of this study is to establish a basic culture system enabling in vitro culture of chicken blastodermal cells and to test the feasibility of retrovirus-mediated gene transfer to the cultured cells. The blastodermal cells were isolated from freshly laid eggs of stage X and cultured with or without STO feeder layer cells. Stem cell-like morphology was maintained after multiple passages and RT-PCR analysis proved expression of several stem cell specific genes. Immunocytochemical analysis using antibodies of anti-EMA-1 and anti-SSEA-1 also showed the feature of stem cells. Infection of the cultured blastodermal cells with LNCGW retrovirus vector resulted in successful transfer of foreign genes. The results of this study may be useful in establishing stem cell-mediated transgenic chicken production.

Estimation of Sea Surface Current Vector based on Satellite Ocean Color Image around the Korean Marginal Sea

  • Kim, Eung;Ro, Young-Jae;Ahn, Yu-Hwan
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.816-819
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    • 2006
  • One of the most difficult parameters to measure in the sea is current speed and direction. Recently, efforts are being made to estimate the ocean current vectors by utilizing sequential satellite imageries. In this study, we attempted to estimated sea surface current vector (sscv) by using satellite ocean color imageries of SeaWifs around the Korean Peninsula. This ocean color image data has 1-day sampling interval and spatial resolution of 1x1 km. Maximum cross-correlation method is employed which is aimed to detect similar patterns between sequential images. The estimated current vectors are compared to the surface geostrophic current vectors obtained from altimeter of sea level height data. In utilizing the color imagery data, some limitations and drawbacks exist so that in warm water region where phytoplankton concentration is relatively lower than in cold water region, estimation of sscv is poor and unreliable. On the other hand, two current vector fields agree reasonably well in the Korean South Sea region where high concentration of chlorophyll-a and weak tide is observed. In the future, with ocean color images of shorter sampling interval by COMS satellite, the algorithm and methodology developed in the study would be useful in providing the information for the ocean current around Korean Peninsula.

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Circuit Design and Implementation for Noise Enhancement of Optical Mouse (광마우스 잡음 개선을 위한 회로 설계 및 구현)

  • Park, Sang-Bong;Heo, Jeong-Hwa
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.135-140
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    • 2014
  • In this paper, we describe the contents of noise characteristic enhancement using digital filtering to the motion vector in the pattern noise of optical mouse. The designed circuit is implemented to enhance the smoothing and trembling with filtering and averaging of x, y motion vector before PS2 or USB output. The function is verified by using FPGA and the performance is measured by the fabricated chip using $0.35{\mu}m$ standard CMOS process. The system clock is 6MHz and the motion vector has the range of +6 to -6 per 1/1700sec. It is tested using the Cartesian robot to measure the noise characteristic enhancement.

Evaluation of a New Episomal Vector Based on the GAP Promoter for Structural Genomics in Pichia pastoris

  • Hong In-Pyo;Anderson Stephen;Choi Shin-Geon
    • Journal of Microbiology and Biotechnology
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    • v.16 no.9
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    • pp.1362-1368
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    • 2006
  • A new constitutive episomal expression vector, pGAPZ-E, was constructed and used for initial screening of eukaryotic target gene expression in Pichia pastoris. Two reporter genes such as beta-galactosidase gene and GFPuv gene were overexpressed in P. pastoris. The expression level of the episomal pGAPZ-E strain was higher than that of the integrated form when the beta-galactosidase gene was used as the reporter gene in P. pastoris X33. The avoiding of both the integration procedure and an induction step simplified the overall screening process for eukaryotic target gene expression in P. pastoris. Nine human protein targets from the Core 50, family of Northeast Structural Genomics Consortium (http://www.nesg.org), which were intractable when expressed in E. coli, were subjected to rapid screening for soluble expression in P. pastoris. HR547, HR919, and HR1697 human proteins, which had previously been found to express poorly or to be insoluble in E. coli, expressed in soluble form in P. pastoris. Therefore, the new episomal GAP promoter vector provides a convenient and alternative system for high-throughput screening of eukaryotic protein expression in P. pastoris.

Analysis and Control of NPC-3L Inverter Fed Dual Three-Phase PMSM Drives Considering their Asymmetric Factors

  • Chen, Jian;Wang, Zheng;Wang, Yibo;Cheng, Ming
    • Journal of Power Electronics
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    • v.17 no.6
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    • pp.1500-1511
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    • 2017
  • The purpose of this paper is to study a high-performance control scheme for neutral-point-clamping three-level (NPC-3L) inverter fed dual three-phase permanent magnet synchronous motor (PMSM) drives by considering some asymmetric factors such as the non-identical parameters in phase windings. To implement this, the system model is analyzed for dual three-phase PMSM drives with asymmetric factors based on the vector space decomposition (VSD) principle. Based on the equivalent circuits, PI controllers with feedforward compensation are used in the d-q subspace for regulating torque, where the cut-off frequency of the PI controllers are set at the twice the fundamental frequency for compensating both the additional DC component and the second order component caused by asymmetry. Meanwhile, proportional resonant (PR) controllers are proposed in the x-y subspace for suppressing the possible unbalanced currents in the phase windings. A dual three-phase space vector modulation (DT-SVM) is designed for the drive, and the balancing factor is designed based on the numerical fitting surface for balancing the DC link capacitor voltages. Experimental results are given to demonstrate the validity of the theoretical analysis and the proposed control scheme.

Estimation of various amounts of kaolinite on concrete alkali-silica reactions using different machine learning methods

  • Aflatoonian, Moein;Mirhosseini, Ramin Tabatabaei
    • Structural Engineering and Mechanics
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    • v.83 no.1
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    • pp.79-92
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    • 2022
  • In this paper, the impact of a vernacular pozzolanic kaolinite mine on concrete alkali-silica reaction and strength has been evaluated. For making the samples, kaolinite powder with various levels has been used in the quality specification test of aggregates based on the ASTM C1260 standard in order to investigate the effect of kaolinite particles on reducing the reaction of the mortar bars. The compressive strength, X-Ray Diffraction (XRD) and Scanning Electron Microscope (SEM) experiments have been performed on concrete specimens. The obtained results show that addition of kaolinite powder to concrete will cause a pozzolanic reaction and decrease the permeability of concrete samples comparing to the reference concrete specimen. Further, various machine learning methods have been used to predict ASR-induced expansion per different amounts of kaolinite. In the process of modeling methods, optimal method is considered to have the lowest mean square error (MSE) simultaneous to having the highest correlation coefficient (R). Therefore, to evaluate the efficiency of the proposed model, the results of the support vector machine (SVM) method were compared with the decision tree method, regression analysis and neural network algorithm. The results of comparison of forecasting tools showed that support vector machines have outperformed the results of other methods. Therefore, the support vector machine method can be mentioned as an effective approach to predict ASR-induced expansion.

Backstepping and Partial Asymptotic Stabilization: Applications to Partial Attitude Control

  • Jammazi, Chaker
    • International Journal of Control, Automation, and Systems
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    • v.6 no.6
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    • pp.859-872
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    • 2008
  • In this paper, the problem of partial asymptotic stabilization of nonlinear control cascaded systems with integrators is considered. Unfortunately, many controllable control systems present an anomaly, which is the non complete stabilization via continuous pure-state feedback. This is due to Brockett necessary condition. In order to cope with this difficulty we propose in this work the partial asymptotic stabilization. For a given motion of a dynamical system, say x(t,$x_0,t_0$)=(y(t,$y_0,t_0$),z(t,$z_0,t_0$)), the partial stabilization is the qualitative behavior of the y-component of the motion(i.e., the asymptotic stabilization of the motion with respect to y) and the z-component converges, relative to the initial vector x($t_0$)=$x_0$=($y_0,z_0$). In this work we present new results for the adding integrators for partial asymptotic stabilization. Two applications are given to illustrate our theoretical result. The first problem treated is the partial attitude control of the rigid spacecraft with two controls. The second problem treated is the partial orientation of the underactuated ship.

Characteristics of Filtered-X LMS Algorith for Two Tone Noise (두 정현파 소음에 대한 Filtered-X LMS 알고리즘의 특성연구)

  • 김현석;박영진
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 1994.04a
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    • pp.16-21
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    • 1994
  • For the systems such as ANC(Active Noise Control) systems having auxiliary path after FIR type adaptive filter, Filtered-X LMS algorithm is effective. However behaviors of this algorithm has not been fully understood. The convergence property of this algorithm depends on not only cross correlation matrix between the filtered signals through model and real auxiliary path state solution of weight vector in Filtered-X LMS algorithm is investigated for under-determined case, over-determined case, and nonsingular case. Also, the convergence speed in case of two tone noise is investigated based on the eigenvalue spread of cross correlation matrix.

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