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Um, Jaeyong,Kim, Duck Gyun,Jung, Moo-Young,Saratale, Ganesh D.,Oh, Min-Kyu Elsevier 2017 Bioresource technology Vol.245 No.2
<P><B>Abstract</B></P> <P>The pathway engineering of <I>Enterobacter aerogenes</I> was attempted to improve its production capability of 2,3–butanediol from lignocellulosic biomass. In the medium containing glucose and xylose mixture as carbon sources, the gene deletion of <I>pflB</I> improved 2,3-butanediol carbon yield by 40%, while the deletion of <I>ptsG</I> increased xylose consumption rate significantly, improving the productivity at 12 hr by 70%. The constructed strain, EMY-22-galP, overexpressing glucose transporter (<I>galP</I>) in the triple gene knockout <I>E. aerogenes</I>, <I>ldhA</I>, <I>pflB</I>, and <I>ptsG</I>, provided the highest 2,3-butanediol titer and yield at 12 hr flask cultivation. Sugarcane bagasse was pretreated with green liquor, a solution containing Na<SUB>2</SUB>CO<SUB>3</SUB> and Na<SUB>2</SUB>SO<SUB>3</SUB> and was hydrolyzed by enzymes. The resulting hydrolysate was used as a carbon source for 2,3-butanediol production. After 72 hr in fermentation, the yield of 0.395g/g sugar was achieved, suggesting an economic production of 2,3-butanediol was possible from lignocellulosic biomass with the metabolically engineered strain.</P> <P><B>Highlights</B></P> <P> <UL> <LI> <I>Enterobacter aerogenes</I> was engineered for utilization of lignocellulosic biomass. </LI> <LI> The deletion of <I>pflB</I> improved the carbon yield of 2,3-butanediol from the sugar. </LI> <LI> The deletion of <I>ptsG</I> increased xylose consumption rate for 2,3-butanediol production. </LI> <LI> Developed strain performed well with sugarcane bagasse hydrolysates in fermentation. </LI> </UL> </P>
DGPS를 이용한 주행차량의 정밀위치인식시스템에 관한 연구
엄재용(Jaeyong Um),이인식(Insik Lee) 한국자동차공학회 2004 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
As the first step to a DGPS-based autonomous driving system, the test ground was constructed and a DGPS RTK navigation system was developed fur the autonomous vehicle. Two sets of NovAtel DL-4 GPS receivers and Cisco-350 wireless LAN equipments were used for the DGPS test ground, and an accurate digital map for the test ground was made to provide the reference position of the vehicle. For the digital map, the test lane was measured five times using the DGPS RTK and the smooth lane data was obtained by the polynomial curve fitting.<br/> The positioning error of the traveling vehicle based on the digital map is composed of the map error and the navigation error of the vehicle.. The map error is composed of the DGPS rover setting error, measuring operation error and the inherent DGPS RTK measurement error with the curve fitting. The navigation error of the vehicle is composed of the DGPS RTK error and the GPS antenna installation error. Of course the positioning error due to latency should be examined and compensated in the autonomous system controller design later. The vehicle position was measured using the external equipments and compared with the estimated position to show the lateral positioning error of 3.2cm RMS.