http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Comparative Study for Prediction of Neural Network models
( Jinwoo Cho ) 성균관대학교 응용통계연구소 2018 통계연구 Vol.20 No.-
In this study, ARIMA model and neural network models including MLP, CNN and RNN are compared according to their prediction power. Given assumption is that a neural network model would more suitable to the data that has regular patterns. To prove the assumption, the study set two simulations for stochastic process and deterministic process, which can represent randomness and visible pattern respectively. Finally, solution to develop the neural network model for time series is suggested regarding the result of simulations.
( Jinwoo Lee ),( Seong Jin Jo ),( Youngjin Cho ),( Ji Hyun Lee ),( Il-young Oh ),( Jin Joo Park ),( Young-seok Cho ),( Dong-ju Choi ) 대한내과학회 2021 The Korean Journal of Internal Medicine Vol.36 No.0
Background/Aims: There are concerns that the use of renin-angiotensin system (RAS) blockers may increase the risk of being infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) or progressing to a severe clinical course after infection. This this study aimed to investigate the influence of RAS blockers on the risk and severity of SARS-CoV-2 infection. Methods: We conducted a retrospective cohort study analyzing nationwide claims data of 215,184 adults who underwent SARS-CoV-2 tests in South Korea. The SARS-CoV-2 positive rates and clinical outcomes were evaluated according to the use of RAS blockers in patients with hypertension (n = 64,243). Results: In total, 38,919 patients with hypertension were on RAS blockers. The SARS-CoV-2 positive rates were significantly higher in the RAS blocker group than in the control group after adjustments (adjusted odds ratio [OR], 1.22; 95% confidence interval [CI], 1.10 to 1.36; p < 0.001), and matching by propensity score (adjusted OR, 1.16; 95% CI, 1.03 to 1.32; p = 0.017). Among the 1,609 SARS-CoV-2- positive patients with hypertension, the use of RAS blockers was not associated with poor outcomes, such as mortality (adjusted OR, 0.81; 95% CI, 0.56 to 1.17; p = 0.265), and a composite of admission to the intensive care unit and mortality (adjusted OR, 0.95; 95% CI, 0.73 to 1.22; p = 0.669). Analysis in the propensity score-matched population showed consistent results. Conclusions: In this Korean nationwide claims dataset, the use of RAS blockers was associated with a higher risk to SARS-CoV-2 infection but not with higher mortality or other severe clinical courses.
Cho, Seongyeon,Lee, Sang Min,Shin, Ho Yun,Kim, Min Su,Seo, Yiel Hea,Cho, Yong Kyun,Lee, Jinwoo,Lee, Sang Pyo,Kim, Moon Il The Royal Society of Chemistry 2018 The Analyst Vol.143 No.5
<P>Nanomaterials that exhibit enzyme-like characteristics, which are called nanozymes, have recently attracted significant attention due to their potential to overcome the intrinsic limitations of natural enzymes, such as low stability and relatively high cost for preparation and purification. In this study, we report a highly efficient colorimetric allergy detection system based on an immunoassay utilizing the peroxidase-mimicking activity of hierarchically structured platinum nanoparticles (H-Pt NPs). The H-Pt NPs had a diameter of 30 nm, and were synthesized by a seed-mediated growth method, which led to a significant amount of peroxidase-like activity. This activity mainly occurs because of the high catalytic power of the Pt element, and the fact that the H-Pt NPs have a large surface area available for catalytic events. The H-Pt NPs were conjugated to an antibody for the detection of immunoglobulin E (IgE) in the analytes; IgE is a representative marker for the diagnosis of allergies. They were then successfully integrated into a conventionally used allergy diagnostic test, the ImmunoCAP diagnostic test, as a replacement for natural signaling enzymes. Using this strategy, total and specific IgE levels were detected within 5 min at room temperature, with high specificity and sensitivity. The practical utility of the immunoassay was also successfully verified by correctly determining the levels of both total and specific IgE in real human serum samples with high precision and reproducibility. The present H-Pt NP-based immunoassay system would serve as a platform for rapid, robust, and convenient analysis of IgE, and can be extended to the construction of diagnostic systems for a variety of clinically important target molecules.</P>
Cho, Sung Hwan,Jo, Seong Soon,Hwang, Ihn,Sung, Jinwoo,Seo, Jungmok,Jung, Seok-Heon,Bae, Insung,Choi, Jae Ryung,Cho, Himchan,Lee, Taeyoon,Lee, Jin Kyun,Lee, Tae-Woo,Park, Cheolmin American Chemical Society 2013 ACS NANO Vol.7 No.12
<P>Electroluminescent (EL) devices operating at alternating current (AC) electricity have been of great interest due to not only their unique light emitting mechanism of carrier generation and recombination but also their great potential for applications in displays, sensors, and lighting. Despite great success of AC–EL devices, most device properties are far from real implementation. In particular, the current state-of-the art brightness of the solution-processed AC–EL devices is a few hundred candela per square meter (cd m<SUP>–2</SUP>) and most of the works have been devoted to red and white emission. In this manuscript, we report extremely bright full color polymer AC–EL devices with brightness of approximately 2300, 6000, and 5000 cd m<SUP>–2</SUP> for blue (B), green (G), and red (R) emission, respectively. The high brightness of blue emission was attributed to individually networked multiwalled carbon nanotubes (MWNTs) for the facile carrier injection as well as self-assembled block copolymer micelles for suppression of interchain nonradiative energy quenching. In addition, effective FRET from a solution-blended thin film of B-G and B-G-R fluorescent polymers led to very bright green and red EL under AC voltage, respectively. The solution-processed AC–EL device also worked properly with vacuum-free Ag paste on a mechanically flexible polymer substrate. Finally, we successfully demonstrated the long-term operation reliability of our AC–EL device for over 15 h.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancac3/2013/ancac3.2013.7.issue-12/nn4040926/production/images/medium/nn-2013-040926_0006.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/nn4040926'>ACS Electronic Supporting Info</A></P>
Jinwoo Cho,Hye-Jin Kim,Ji-Seon Kwon,Hee-Jin Kim,Aera Jang 한국축산식품학회 2021 한국축산식품학회지 Vol.41 No.5
The effect of marination with black currant juice (BCJ) was investigated for their effects on meat quality and content of biogenic amines (BAs) [putrescine (PUT), cadaverine (CAD), histamine (HIM), tyramine (TYM), and spermidine (SPD)] in pork belly during storage at 9℃. BCJ was shown to have antibacterial activities against Escherichia coli and Pseudomonas aeruginosa. Additionally, the pH of pork belly marinated with BCJ (PBB) was significantly lower than that of raw pork belly (RPB) during storage. No significant difference in microorganisms between RPB and PBB was observed at day 0 of storage. However, at days 5 and 10 of storage, volatile basic nitrogen (VBN) was significantly decreased in PBB compared to RPB, and PBB also demonstrated significantly lower numbers of bacteria associated with spoilage (Enterobacteriaceae and Pseudomonas spp.) at these time-points. PBB was also associated with significantly reduced formation of BAs (PUT, CAD, TYM, and total BAs) compared to RPB at days 5 and 10 of storage. These results indicated that BCJ can be regarded as a natural additive for improving meat quality by preventing increased pH, VBN, bacterial spoilage, and inhibiting BAs formation during refrigerated storage.
조진우(Jinwoo Cho),신재훈(Jaehoon Shin),정태영(Tae-Young Jeong),정형근(Hyung-Keun Chung) 유기성자원학회 2017 유기성자원학회 학술발표대회논문집 Vol.2017 No.3
본 연구는 SBR 공법과 MBR 공법을 결합하여, 기존의 SBR 공법을 이용하고 있는 소규모 하수처리장의 유기물질과 질소를 효율적으로 처리하기 위한 연구다. 과거 수질 오염 처리시설에는 재래식 처리공정에 의한 처리시설이 대부분을 차지하고 있었으나, BOD, TN, TP의 처리효율 측면과 유량 변화에 대응하기 힘든 한계를 가지고 있다. 이런 단점을 보완하기 위한 다양한 SBR(Sequencing Batch Reactor) 공법들이 개발되었고이러한 공법들은 유입 유량의 변동이 심한 소규모 하수처리장에 적합하지만 이 또한 처리효율 측면에서 한계를 가지고 있다. 현재 국내 및 세계 수처리 시장에는 이러한 문제점을 해결할 목적으로 다양한 수처리 시설이 적용되고 있으며, 분리막(Membrane)도 이러한 고도 처리 시설 분야 중 하나이다. 국내에서도 MBR 공정이 차지하는 비율은 28.2% (2008년)임을 보면 MBR 공정의 비중이 상당함을 알 수 있다. 분리막을 이용한MBR(Membrane Bio-Reactor)은 항상 우수하고 균일한 처리효율을 나타내며 BOD와 COD, SS 처리 측면에서 뛰어난 효율을 보인다. 그러나 MBR 단독 공정의 경우 분리막의 세정 주기가 짧고, 분리막을 세정하는 동안 수처리가 불가능하며, 세정 시 반응조 내부의 막 모듈을 상부로 인양하여 약품처리 후, 다시 반응조에 막 모듈을 재설치하는 여러 단계의 처리 과정을 거쳐야 한다는 단점들이 있다. 위의 두 가지 공정의 단점들을 보완하기 위해 SBR 공법과 MBR 공법을 결합한 MSBR(Membrane-coupled Sequencing Batch Reactor)들이 개발되고 있는 추세이다.
디젤 인젝터 분사율 예측을 위한 AMESim 기반 1-D 모델 구축
이진우 ( Jinwoo Lee ),김재헌 ( Jaeheun Kim ),김기현 ( Kihyun Kim ),문석수 ( Seoksu Moon ),강진석 ( Jinsuk Kang ),한상욱 ( Sangwook Han ) 한국액체미립화학회 2020 한국액체미립화학회지 Vol.25 No.1
Recently, 1-D model-based engine development using virtual engine system is getting more attention than experimental-based engine development due to the advantages in time and cost. Injection rate profile is the one of the main parameters that determine the start and end of combustion. Therefore, it is essential to set up a sophisticated model to accurately predict the injection rate as starting point of virtual engine system. In this research, procedure of 1-D model setup based on AMESim is introduced to predict the dynamic behavior and injection rate of diesel injector. As a first step, detailed 3D cross-sectional drawing of the injector was achieved, which can be done with help of precision measurement system. Then an approximate AMESim model was provided based on the 3D drawing, which is composed of three part such as solenoid part, control chamber part and needle and nozzle orifice part. However, validation results in terms of total injection quantity showed some errors over the acceptable level. Therefore, experimental work including needle movement visualization, solenoid part analysis and flow characteristics of injector part was performed together to provide more accuracy of 1-D model. Finally, 1-D model with the accuracy of less than 10% of error compared with experimental result in terms of injection quantity and injection rate shape under normal temperature and single injection condition was established. Further work considering fuel temperature and multiple injection will be performed.