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JungJin Lim,유창규,YongSu Kim,TaeSuk Oh,MinJung Kim,OnYu Kang,김정태,김인원,김조천,Jae-Sik Jeon 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.8
A new key variable selection and prediction model of IAQ that can select key variables governing indoor air quality (IAQ), such as PM10, CO2, CO, VOCs and formaldehyde, are suggested in this paper. The essential problem of the prediction model is the question of which of the original variables are the most important for predicting IAQ. The next issue is determining the number of key variables that should be ranked. A new index of discriminant importance in the projection (DIP) of Fisher’s linear discriminant (FLD) is suggested for selecting key variables of the prediction models with multiple linear regression (MLR) and partial least squares (PLS), as well as for ranking the importance of input measurement variables on IAQ prediction. The prediction models were applied to a real IAQ dataset from telemonitoring data (TMS) in a metro system. The prediction results of the model using all variables were compared with the results of the model using only key variables of DIP. It shows that the use of our new variable selection method cannot only reduce computational effort, but will also enhance the prediction performances of the models.
JungJin Lim,유창규,MinHan Kim,김민정,TaeSuk Oh,OnYu Kang,민부기,Ambati Seshagiri Rao 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.3
A one-step model calibration methodology of the activated sludge model no. 1 (ASM1) of a full-scale wastewater treatment plant (WWTP) is proposed. First, the key parameters among all parameters of the ASM1 model are selected by sensitivity analysis based on the effluent quality index. Second, multiple response surface methodology (MRSM) is conducted to find the optimal parameter values of the ASM1 model. Lastly, an MRSM analysis is conducted in order to determine the optimal parameter values. This study was conducted in order to develop a new systematic model calibration methodology that can greatly help the modeler to find the optimal solution by selecting the key parameters and optimizing the parameters. In two case studies of simple activated sludge process and a full-scale plant,the experimental results indicated that the calibrated models can improve the prediction quality of the ASM model and the efficiency of the modeling.
JungJin Lim,유창규,Boddupalli Sankarrao,TaeSeok Oh,MinJung Kim,OnYu Kang,김정태 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.9
The amount of greenhouse gases (GHG), especially, nitrous oxide (N2O) emitted from wastewater treatment plants (WWTP) using data reconciliation and closed-loop mass balance was estimated. This study is based on a flowbased emission estimation approach which depends on the accuracy of the measurement data. To reduce the (random)measurement error, data reconciliation was used to enhance the accuracy of the flow measurements. After performing data reconciliation, N2O emission was estimated with more precision by using the closed-loop mass balance. The results in both pilot-scale and full-scale plants show that the suggested method can easily obtain the precise flow measurement for GHG emission, which in turn, results in the accurate estimation of the N2O amounts emitted from WWTP. Moreover, it is shown that the estimated flowrate values can be used as a software sensor, which can replace the faulty sensors and can validate the existing field measurements.
Jongmin Lim,KiMai Um,Jungjin Kim 대한스포츠물리치료학회 2019 정형스포츠물리치료학회지 Vol.15 No.1
Purpose: This study investigated the effects of the newly-developed high-frequency stimulation over knee on physiological characteristics of quadriceps (QM) and hamstring (HM) muscles. Methods: Ten healthy participants were participated in the study (average age: 49.3). Each participant received the high-frequency stimulation over both knees over three times a week during a total of two weeks. We measured the physiological characteristics of muscle tissue of QM and HM, including muscle tone (F), dynamic stiffness (S), and elasticity (D) by a Myoton device at pre and post-stimulation. Results: As a result, the elasticity of right HM was showed significant differences between pre- and post-stimulation (P=0.006). Conclusion: We conclude that the high-frequency stimulation over both knee may evoke the physiological changes in knee muscles.
Park, Jungjin,Moon, Joonhee,Kim, Chunjoong,Kang, Jin Hyoun,Lim, Eunhak,Park, Jaesung,Lee, Kyung Jae,Yu, Seung-Ho,Seo, Jung-Hye,Lee, Jouhahn,Heo, Jiyoung,Tanaka, Nobuo,Cho, Sung-Pyo,Pyun, Jeffrey,Caban Nature Publishing Group 2016 NPG Asia Materials Vol.8 No.-
<P>Lithium-sulfur (Li-S) batteries are expected to overcome the limit of current energy storage devices by delivering high specific energy with low material cost. However, the potential of Li-S batteries has not yet been realized because of several technical barriers. Poor electrochemical performance is mainly attributed to the low electrical conductivity of the fully charged and discharged species, the irreversible loss of polysulfide anions and the decrease in the number of electrochemically active reaction sites during battery operation. Here, we report that the introduction of graphene quantum dots (GQDs) into the sulfur cathode dramatically enhanced sulfur/sulfide utilization, yielding high performance. In addition, the GQDs induced structural integrity of the sulfur-carbon electrode composite by oxygen-rich functional groups. This hierarchical architecture enabled fast charge transfer while minimizing the loss of lithium polysulfides, which is attributed to the physicochemical properties of GQDs. The mechanisms through which excellent cycling and rate performance are achieved were thoroughly studied by analyzing capacity versus voltage profiles. Furthermore, experimental observations and theoretical calculations further clarified the role played by GQDs by proving that C-S bonding occurs. Thus, the introduction of GQDs into Li-S batteries will provide an important breakthrough allowing their use as high-performance and low-cost batteries for next-generation energy storage systems.</P>