• Title/Summary/Keyword: Single fusion

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Construction of Astaxanthin Overproducing Strain of Phaffia rhodozyma by Protoplast Fusion

  • Koh, Moo-Suk;Kim, Sang-Moon
    • Journal of Microbiology and Biotechnology
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    • v.2 no.1
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    • pp.46-49
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    • 1992
  • The availability of Phaffia rhodozyma as an astaxanthin sources in the aquaculture industry is limited because of the low carotenoid content of natural isolate. In this study, we have used the protoplast fusion technique to construct cell hybrids with an increased content of astaxanthin from P. rhodozyma. Cell hybrids (F307 and F406) obtained were very stable and produced considerably more astaxanthin (> 1 mg/g yeast) than the wild parent. Karyogamy was confirmed by the isolation of recombinants after mitotic segregation of parental auxotrophic genetic markers, the increased amount of chromosomal DNA/cell and the presence of single nucleus/cell.

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Reducing Spectral Signature Confusion of Optical Sensor-based Land Cover Using SAR-Optical Image Fusion Techniques

  • ;Tateishi, Ryutaro;Wikantika, Ketut;M.A., Mohammed Aslam
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.107-109
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    • 2003
  • Optical sensor-based land cover categories produce spectral signature confusion along with degraded classification accuracy. In the classification tasks, the goal of fusing data from different sensors is to reduce the classification error rate obtained by single source classification. This paper describes the result of land cover/land use classification derived from solely of Landsat TM (TM) and multisensor image fusion between JERS 1 SAR (JERS) and TM data. The best radar data manipulation is fused with TM through various techniques. Classification results are relatively good. The highest Kappa Coefficient is derived from classification using principal component analysis-high pass filtering (PCA+HPF) technique with the Overall Accuracy significantly high.

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Study on Multiple Ground Target Tracking Algorithm Using Geographic Information (지형 정보를 사용한 다중 지상 표적 추적 알고리즘의 연구)

  • Kim, In-Taek;Lee, Eung-Gi
    • Journal of Institute of Control, Robotics and Systems
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    • v.6 no.2
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    • pp.173-180
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    • 2000
  • During the last decade many researches have been working on multiple target tracking problem in the area of radar application, Various approaches have been proposed to solve the tracking problem and the concept of sensor fusion was established as an effort. In this paper utilization of geographic information for ground target tracking is investigated and performance comparison with the results of applying sensor fusion is described. Geographic information is used in three aspects: association masking target measurement and re-striction of removing true target. Simulation results indicate that using two sensors shows better performance with respect to tracking but a single with geographic information is a winner in reducing the number of false tracks.

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An Effective Mapping for a Mobile Robot using Error Backpropagation based Sensor Fusion (오류 역전파 신경망 기반의 센서융합을 이용한 이동로봇의 효율적인 지도 작성)

  • Kim, Kyoung-Dong;Qu, Xiao-Chuan;Choi, Kyung-Sik;Lee, Suk-Gyu
    • Journal of the Korean Society for Precision Engineering
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    • v.28 no.9
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    • pp.1040-1047
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    • 2011
  • This paper proposes a novel method based on error back propagation neural networks to fuse laser sensor data and ultrasonic sensor data for enhancing the accuracy of mapping. For navigation of single robot, the robot has to know its initial position and accurate environment information around it. However, due to the inherent properties of sensors, each sensor has its own advantages and drawbacks. In our system, the robot equipped with seven ultrasonic sensors and a laser sensor navigates to map two different corridor environments. The experimental results show the effectiveness of the heterogeneous sensor fusion using an error backpropagation algorithm for mapping.

Purification of Single Chain Human Insulin Precursors Using Various Fusion Proteins

  • Park, Seon-Ho;Jo, Jeong-U;Nam, Du-Hyeon
    • 한국생물공학회:학술대회논문집
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    • 2000.11a
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    • pp.619-622
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    • 2000
  • For the production of $B^{30}-homoserine$ human insulin precursor, four types of fusion peptides LacZ, MBP, GST, and His-tagged sequence were studied in this work. Recombinant E. coli JM 103 and E. coli JM 109 containing fusion peptides were cultivated at $37^{\circ}C$ for 1hr, and gene expression was occurred when 0.5mM of isopropyl-D-thiogalactoside(IPTG) was added to the culture broth, and followed by longer than 4hr fermentation respectively. DEAE-Sphacel and gel filtration chromatography, amylose and glutathione-Sepharose 4B affinity chromatography, and nickel-affinity chromatography system were employed as purification of $B^{30}-homoserine$ human insulin precursor. Recovery yields of His-tagged, LacZ, GST, and MBP fused $B^{30}-homoserine$ human insulin precursor resulted in 47%, 20%, 20%, and 18%, respectively.

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Rao-Blackwellized Multiple Model Particle Filter Data Fusion algorithm (Rao-Blackwellized Multiple Model Particle Filter자료융합 알고리즘)

  • Kim, Do-Hyeung
    • Journal of Advanced Navigation Technology
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    • v.15 no.4
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    • pp.556-561
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    • 2011
  • It is generally known that particle filters can produce consistent target tracking performance in comparison to the Kalman filter for non-linear and non-Gaussian systems. In this paper, I propose a Rao-Blackwellized multiple model particle filter(RBMMPF) to enhance computational efficiency of the particle filters as well as to reduce sensitivity of modeling. Despite that the Rao-Blackwellized particle filter needs less particles than general particle filter, it has a similar tracking performance with a less computational load. Comparison results for performance is listed for the using single sensor information RBMMPF and using multisensor data fusion RBMMPF.

Sensor Fusion for Underwater Navigation of Unmanned Underwater Vehicle (무인잠수정의 수중합법을 위한 센서융합)

  • Sur, Joo-No
    • Journal of the Korea Institute of Military Science and Technology
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    • v.8 no.4 s.23
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    • pp.14-23
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    • 2005
  • In this paper we propose a sensor fusion method for the navigation algorithm which can be used to estimate state vectors such as position and velocity for its motion control using multi-sensor output measurements. The output measurement we will use in estimating the state is a series of known multi-sensor asynchronous outputs with measurement noise. This paper investigates the Extended Kalman Filtering method to merge asynchronous heading, heading rate, velocity of DVL, and SSBL information to produce a single state vector. Different complexity of Kalman Filter, with. biases and measurement noise, are investigated with theoretically data from MOERI's SAUV. All levels of complexity of the Kalman Filters are shown to be much more close and smooth to real trajectories then the basic underwater acoustic navigation system commonly used aboard underwater vehicle.

Boundary Stitching Algorithm for Fusion of Vein Pattern (정맥패턴 융합을 위한 Boundary Stitching Algorithm)

  • Lim, Young-Kyu;Jang, Kyung-Sik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.521-524
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    • 2005
  • This paper proposes a fusion algorithm which merges multiple vein pattern images into a single image, larger than those images. As a preprocessing step of template matching, during the verification of biometric data such as fingerprint image, vein pattern image of hand, etc., the fusion technique is used to make reference image larger than the candidate images in order to enhance the matching performance. In this paper, a new algorithm, called BSA (Boundary Stitching Algorithm) is proposed, in which the boundary rectilinear parts extracted from the candidate images are stitched to the reference image in order to enlarge its matching space. By applying BSA to practical vein pattern verification system, its verification rate was increased by about 10%.

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Renal and Ureteral Fusion in a Calf with Atresia Ani

  • Jeong, Won-Il;Lee, Cha-Soo;Kim, Seok-Jae;Kim, Jin-Hyun;Jeong, Kyu-Shik
    • Proceedings of the Korean Society of Veterinary Pathology Conference
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    • 2002.11a
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    • pp.138-138
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    • 2002
  • A 10-day old male calf exhibited multiple congenital anomalies of the urinary and gastrointestinal tracts, including renal fusion (horseshoe kidney), ureteral fusion, rectovesicular fistula, and atresia ani. The single kidney was fused at the caudal poles. The left kidney and cranial half of right kidney were shrunken, while the remaining lobules were hypertrophic. Ureters were fused cranially and bifurcated caudally. The terminal rectum was narrowed and connected with the bladder. The anus was imperforate. The cause of these anomalies could not be determined. This is the first report of this constellation of congenital anomalies in a calf.

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Regulation of fpr Gene Encoding NADPH : Ferredoxin Oxidoreductase by the soxRS Locus in Escherichia coli

  • Koh, Young-Sang;Choih, Jenny;Roe, Jung-Hye
    • Journal of Microbiology
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    • v.34 no.2
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    • pp.137-143
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    • 1996
  • We isolated a promoter inducible by paraquat, a superoxide-generating agent, from Escherichia coli using a promoter-probing plasmid pRS415. From sequence analysis we found out the promoter is for fpr ENCODING nadph : ferredoxin oxidoreductase. We constructed on operon fusion of lacZ gene with fpr promoter to monitor the expression of the gene in the single-copy state. LacZ expression generators, menadione and plumbagin, also induced the expression of .betha.-galactosidase in the fusion strain. On the other hand, no significant induction was observed by treatment with hydrogen peroxide, ethanol, and heat shock. Induction of .betha.-galactosidase was significantly reduced by introducing a .DELTA. sox 8 :: cat of soxS3 :: Tn10 mutation into the fusion strain, indicating that fpr gene is a member of the soxRS regulon. The transcriptional start site was determined by primer extension analysis. Possible roles of fpr induction in superoxide stress were discussed.

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