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Smartphone based Indoor Localization Technology using 1D CNN -BLSTM
Changsoo Yu,Beomju Shin,Chung G. Kang,Jung Ho Lee,Hankyeol Kyung,Taehun Kim,Taikjin Lee 제어로봇시스템학회 2022 제어로봇시스템학회 국제학술대회 논문집 Vol.2022 No.11
The study of indoor localization technology using smart phone has been continuously studied. Fingerprinting is a representative indoor positioning technology. This technology estimates the location by comparing Radio Signal Strength (RSS) information received in one-shot at a specific location with the previously constructed Radio Map. Since the RSS received in one-shot is used, the ability to discriminate signals according to space is low. To solve this problem, the use of RSS spatial patterns based on Pedestrian Dead Reckoning (PDR) improves signal discrimination according to space and increases accuracy. However, since PDR is used, there is a problem that it is difficult to use a spatial pattern if PDR distortion occurs due to a heading drift error and a change motion. We propose an indoor positioning technology using 1D Convolutional Neural Network (CNN) and Bi-directional Long Short Term Memory (BLSTM). We estimated the position by learning the 1D RSS pattern. In order to generate a large amount of data, we used the pre-built Radio Map. We use a model that combines 1D CNN and BLSTM. 1D CNN is used to extract RSS patterns, and BLSTM is used to learn the relationship of sequential data in both directions. Through this, it is possible to estimate the position using only the RSS. To verify the proposed technology, we compared it with the previous technology. As a result, the previous technology showed 2.19m error and the proposed technology showed 4.663m error. However, the calculation speed is 30 times faster than the proposed technology. It was confirmed that indoor positioning technology using deep learning technology can provide position information with only 1D RSS pattern.
Yu, Youngseob,Lee, Changsoo,Kim, Jaai,Hwang, Seokhwan Wiley Subscription Services, Inc., A Wiley Company 2005 Biotechnology and bioengineering Vol.89 No.6
<P>Real-time polymerase chain reaction (PCR) is a highly sensitive method that can be used for the detection and quantification of microbial populations without cultivating them in anaerobic processes and environmental samples. This work was conducted to design primer and probe sets for the detection of methanogens using a real-time PCR with the TaqMan system. Six group-specific methanogenic primer and probe sets were designed. These sets separately detect four orders (Methanococcales, Methanobacteriales, Methanomicrobiales, and Methanosarcinales) along with two families (Methanosarcinaceae and Methanosaetaceae) of the order Methanosarcinales. We also designed the universal primer and probe sets that specifically detect the 16S rDNA of prokaryotes and of the domain Bacteria and Archaea, and which are fully compatible with the TaqMan real-time PCR system. Target-group specificity of each primer and probe set was empirically verified by testing DNA isolated from 28 archaeal cultures and by analyzing potential false results. In general, each primer and probe set was very specific to the target group. The primer and probe sets designed in this study can be used to detect and quantify the order-level (family-level in the case of Methanosarcinales) methanogenic groups in anaerobic biological processes and various environments. © 2005 Wiley Periodicals, Inc.</P>
Yu, Hyeonjung,Kim, Jaai,Lee, Changsoo Elsevier 2019 Bioresource technology Vol.280 No.-
<P><B>Abstract</B></P> <P>This study examines the potential of the mixed-culture microalgal consortia enriched from aerobic sludge (AeS) and anaerobic sludge (AnS) with regard to nutrient removal and biomass production from four different anaerobic digestion (AD) effluents. Both the inocula achieved the complete removal of the NH<SUB>4</SUB> <SUP>+</SUP>-N (initial concentration of 40 mg/L) within 14 days from all the effluents. The AeS cultures showed faster and greater microalgal growth, although the NH<SUB>4</SUB> <SUP>+</SUP>-N removal rate was comparable or higher in the case of the AnS cultures. Further, the AeS and AnS cultures showed significantly different lipid production characteristics in terms of the fatty acid composition and the response to nitrogen deficiency. Nitrogen starvation caused changes in the microbial community structures in all the experimental cultures, which may have influenced the lipid metabolism and the microalgal growth. The overall results suggest that both the inocula exhibit good potential with regard to the treatment of AD effluents.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Microalgal consortia were enriched from aerobic (AeS) and anaerobic (AnS) sludges. </LI> <LI> Both the consortia grew well on four different anaerobic digestion (AD) effluents. </LI> <LI> The AeS cultures showed faster and greater microalgal growth on all the effluents. </LI> <LI> The AnS cultures showed similar or faster NH<SUB>4</SUB> <SUP>+</SUP>-N removal rate on all the effluents. </LI> <LI> N starvation significantly influenced the lipid production and community structure. </LI> </UL> </P>
Enhancement of ultraviolet-beam generation through a double walk-off compensation
Jung, Changsoo,Kim, Kun-Kook,Yu, Bong-Ahn,Lee, Yeung Lak,Shin, Woojin,Kang, Hoonsoo,Noh, Young-Chul The Optical Society 2015 Applied Optics Vol.54 No.27
<P>We propose a novel walk-off-compensation method for ultraviolet-light-source development. A walk-off occurring in the frequency mixing of infrared and green beams is doubly compensated for using an external walk-off compensator and a nonlinear-material set with internal walk-off-compensation arrangement. We theoretically and experimentally verified that our method can improve the power and beam shape of the output ultraviolet beam.</P>