• Journal of the Korean Society of Propulsion Engineers
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• v.12 no.4
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• pp.24-32
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• 2008

We made a new propellant formulation to improve the productivity of Base Bleed Unit(aka BBU) by reducing of the curing time. We made an experiment with new propellant formulation such as binder characteristics and manufacturing process. In addition, we already tested several basic characteristics and the final performance of the new propellant. According to the test report, it was not only satisfied with all requirements in the specification, but it also contributed to improve productivity and reduced 53% of the curing time.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.8
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• pp.3821-3841
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• 2019

Cloud radio access networks (C-RANs) have been regarded in recent times as a promising concept in future 5G technologies where all DSP processors are moved into a central base band unit (BBU) pool in the cloud, and distributed remote radio heads (RRHs) compress and forward received radio signals from mobile users to the BBUs through radio links. In such dynamic environment, automatic decision-making approaches, such as artificial intelligence based deep reinforcement learning (DRL), become imperative in designing new solutions. In this paper, we propose a generic framework of autonomous cell activation and customized physical resource allocation schemes for energy consumption and QoS optimization in wireless networks. We formulate the problem as fractional power control with bandwidth adaptation and full power control and bandwidth allocation models and set up a Q-learning model to satisfy the QoS requirements of users and to achieve low energy consumption with the minimum number of active RRHs under varying traffic demand and network densities. Extensive simulations are conducted to show the effectiveness of our proposed solution compared to existing schemes.

• Korean Journal of Agricultural Science
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• v.49 no.1
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• pp.51-60
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• 2022

Cruciferous vegetables are rich in biologically active compounds such as glucosinolates and have various health benefits. Among these vegetables, Kimchi cabbage (Brassica rapa L. ssp. Pekinensis) is one of the most popular leafy vegetables due to the presence of the highest amounts of numerous vital phytonutrients, minerals, vitamins, and antioxidants. This study aims to investigate the effects of six cultivars (Chundong 102, Asia No Rang Mini, Hwimori Gold, Asia Seoul, Wol Dong Chun Chae, and Asia Bbu Ri) on hairy root induction and glucosinolate biosynthesis in the hairy root cultures of Kimchi cabbage. Seven different glucosinolates, in this case sinigrin, gluconapin, glucoerucin, glucobrassicin, 4-methoxyglucobrassicin, gluconasturtiin, and neoglucobrassicin, were detected in the hairy root cultures of Kimchi cabbage. Among the different cultivars, Asia No Rang Mini was the most promising candidate for hairy root stimulation, as it achieved the highest values for the growth rate, root number, root length, transformation efficiency, and total glucosinolate content. Overall, the Asia No Rang Mini cultivar of Kimchi cabbage performed best as a promising cultivar hairy root culture for glucosinolate production.

• Journal of Life Science
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• v.13 no.6
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• pp.856-864
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• 2003

The 16S rRNA gene is the most common gene in the phylogenetic analysis of procaryotes. However very high conservative of 16S rRNA has limitation in the discrimination of highly related organisms, hence other molecule was applied in this study and the result was compared with that of 16S rRNA. Three COGs (Clusters of Orthologous of protein) were only detected in 42 procaryotes ; transcription elongation facto. (COG0195), bacterial DNA primase (COG0358) and uridylate kinase (COG0528). Uridylate kinase gene was selected because of the similarity and one single copy number in each genome. Bacteria, belong to same genus, and Archaebacteria were same position with high bootstrap value in phylogenetic tree like the tree of 16S rRNA. However, alpha and epsilon Proteobcteria showed different position and Spirochaetales of Eubarteria was grouped together with Archaebacteria unlike the result of 16S rRNA. Uridylate kinase may compensate the problem of very high conservative of 16S rRNA gene and it would help to access more accurate discrimination and phylogenetic analysis of bacteria.