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무선 네트워크 환경에서의 생성적 적대 신경망 기반 이 동성 예측 모델
장보윤 ( Boyun Jang ),( Syed Muhammad Raza ),김문성 ( Moonseong Kim ),추현승 ( Hyunseung Choo ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.2
초저지연성을 요구하는 5G 네트워크 환경에서 기기의 핸드오버를 능동적으로 조절하는 시스템의 중요성이 대두되고 있으며, 특히 핸드오버 시 기기의 이동성을 예측하는 것은 필수적이다. 딥러닝 모델의 일종인 생성적 적대 신경망은 두 신경망 사이의 경쟁 구도를 이용하여 두 신경망의 성능을 모두 높이는 목적으로 사용된다. 본 논문에서는 주로 데이터 생성 모델로 사용되는 생성적 적대 신경망을 이용하여 무선 네트워크 환경에서 기기의 이동성을 예측하는 시스템을 개발하였다. 이를 통해 실제 모바일 네트워크 환경에 적용되었을 경우 핸드오버 속도를 높이도록 한다.
네트워크약리학을 이용한 소건중탕 활성성분 및 잠재적인 타겟 효능 예측
장보윤(Boyun Jang) 대한모유수유한의학회 2021 nipple confusion,breastfeeding consultation,IBCLC, Vol.2 No.1
Objectives: Due to the complex interactions among the multiple compounds of herbs or herbal formulations, there has been demand for systemic assessment for understanding the therapeutic effect of herbal formulations. To address this, here we introduced the network pharmacology based analysis to explore the potential targets and mechanisms of Sogunjung-tang. Methods: Active compounds of Sogunjung-tang were searched, and their target genes were collected from databases (TCMSP, STRING). Then network analysis was performed to visualize the interaction of herbs - compounds - target genes (Cytoscape). Gene Ontology and KEGG pathway analysis of target genes were also conducted to find out the associations with biological processes and pathways. Results: We identified 34 major active compounds and their 282 associated target genes of Sogunjung-tang. Gene Ontology analysis displayed the target gene enriched biological processes, which were oxidation-reduction and inflammatory response related groups. KEGG pathway analysis results also demonstrated the representative pathways including, antioxidant pathways, anti-inflammatory pathways, cancer pathways and neural pathways. Conclusions: Thus, these data provide a systematic way to understand and estimate the multiple targets and therapeutic actions of Sogunjung-tang.
리튬이온전지 음극용 SiO<sub>x</sub> 나노입자의 조대화를 통한 전기화학 특성 향상
이보라,이재영,장보윤,김준수,김성수,Lee, Bora,Lee, Jae Young,Jang, Boyun,Kim, Joonsoo,Kim, Sung-Soo 한국전기전자재료학회 2019 전기전자재료학회논문지 Vol.32 No.1
$SiO_x$ nanoparticles were granulated, and their microstructures and effects on electrochemical behaviors were investigated. In spite of the promising electrochemical performance of $SiO_x$, nanoparticles have limitations such as high surface area, low density, and difficulty in handling during slurry processing. Granulation can be one solution. In this study, pelletizing and annealing were conducted to create particles with sizes of several decades of micron. Decrease in surface area directly influences the initial charge and discharge process when granules are applied as anode materials for Li-ion batteries. Lower surface area is key to decreasing the amount of irreversible phase-formation, such as $Li_2Si_2O_5$, $Li_2SiO_3$ and $Li_4SiO_4$, as well as forming the solid electrolyte interface. Additionally, aggregation of nanoparticles is required to obtain further enhancement of the electrochemical behavior due to restrictions that there be no $Li_4SiO_4$-related reaction during the first discharge process.
야금학적으로 Pre-Lithiation된 리튬이온전지 음극용 SiO<sub>x</sub>의 리튬소스가 미세구조에 미치는 영향
이재영,이보라,김낙원,장보윤,김준수,김성수,Lee, Jae Young,Lee, Bora,Kim, Nak-Won,Jang, Boyun,Kim, Junsoo,Kim, Sung-Soo 한국전기전자재료학회 2019 전기전자재료학회논문지 Vol.32 No.1
The effect of various lithium sources such as LiCl, LiOH, and Li-metal on the microstructure and electrochemical properties of granulated $SiO_x$ powders were investigated. Various lithium sources were metallurgically added for a passive pre-lithiation of $SiO_x$ to improve its low initial coulombic efficiency. In spite of using the same amount of Li in various sources, as well as the same process conditions, different lithium silicates were obtained. Moreover, irreversible phases were formed without reduction of $SiO_x$, which might be from additional oxygen incorporation during the process. Accordingly, there were no noticeable electrochemical enhancements. Nevertheless, the $Li_4SiO_4$ phase changes the initial electrochemical reaction, and consequently the relationship between the microstructure and electrochemical properties of metallurgically pre-lithiated $SiO_x$ could provide a guideline for the optimization of the performance of lithium ion batteries.