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Highly efficient adsorption of arsenite from aqueous by zirconia modified activated carbon
Pham Ngoc Chuc,Nguyen Quang Bac,Dao Thi Phuong Thao,Nguyen Trung Kien,Nguyen Thi Ha Chi,Nguyen Van Noi,Vo Thang Nguyen,Nguyen Thi Hong Bich,Dao Ngoc Nhiem,Dinh Quang Khieu 대한환경공학회 2024 Environmental Engineering Research Vol.29 No.2
Dinh Quang Truong,Kyoung Kwan Ahn,Doan Ngoc Chi Nam,Jong Il Yoon 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
An ion polymer metal composite (IPMC) is an electro-active polymer that bends in response to a small applied electrical field as a result of mobility of cations in the polymer network and vice versa. This paper presents a novel accurate nonlinear black-box model (NBBM) for estimating the bending behavior of IPMC. The NBBM is based on a recurrent multi-layer perceptron neural network (RMLPNN) and a self-adjustable learning mechanism (SALM). The model parameters are optimized by using training data. A comparison of the estimated and real IPMC bending characteristic has been done to investigate the modeling ability of the designed NBBM.
Development of an Electronically Controlled Variable Displacement Vane Pump for Engine Lubrication
Truong, Dinh Quang,Truong, Bui Ngoc Minh,Ahn, Kyoung Kwan,Lee, Jae Shin Korean Society for Precision Engineering 2015 International Journal of Precision Engineering and Vol.16 No.9
Lubrication is one of the most important factors in developing internal combustion engines. And vane pumps are known as potential choices for conducting the engine lubrication systems. To better optimize the lubrication performance, an electronically controlled variable displacement vane pump developed from a typical vane pump is newly introduced in this paper. Firstly, the concept and methodology to design properly an electric actuator to provide an additionally degree of pump control by regulating the pump displacement is carefully considered. Secondly, a control logic is developed to manage the operation of the actuator and subsequently, smoothly varying the pump output in order to satisfy any given lubrication profile. Finally, test rigs are setup to investigate the performances of the fabricated actuator and pump prototype. Practical tests are performed to evaluate the effectiveness of the newly pump design over the typical one.
Mathematical Modeling of a Variable Displacement Vane Pump for Engine Lubrication
Bui Ngoc Minh Truong,Dinh Quang Truong,Nguyen Thanh Trung,Ahn Kyoung Kwan 제어로봇시스템학회 2015 제어로봇시스템학회 국제학술대회 논문집 Vol.2015 No.10
This paper developed a complete and accurate mathematical model for a typical variable displacement vane-type oil pump to investigate the working performance of the pump. Firstly, the detailed theoretical model was built based on pump’s geometric design and dynamic analyses. Next, numerical simulations with the constructed model and experiments on the real pump system were carried out to analyze the main power loss factors in order to develop the complete model with high accuracy. The estimated pump performance using the complete pump model was finally verified by numerical simulations in comparison with the practical tests.
Precision Control for Ionic Polymer Metal Composite Actuator Based on Quantitative Feedback Theory
Doan Ngoc Chi Nam,Dinh Quang Truong,Yoon Jong Il,Ahn Kyoung Kwan 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
An ion polymer metal composite (IPMC) is an Electro-Active Polymer (EAP) that bends in response to a small applied electrical field as a result of mobility of cations in the polymer network and vice versa. Recently, IPMC is widely applied in many fields such as biometric, biomedical and micro manipulator fields. This paper proposes a robust position controller for IPMCs which is based on the quantitative feedback theory (QFT). Firstly, the IPMC actuation was investigated. The PRBS input voltage signals were applied to the IPMC in order to identify the system characteristic. Consequently, the QFT controller for the IPMC was designed from the identified IPMC model. Experiments were carried out to validate the effectiveness of proposed controller applied to the IPMC.
Le Ngoc Ha,Nguyen Dinh Chau,Bui Quang Bieu,Mai Hong Son 대한핵의학회 2022 핵의학 분자영상 Vol.56 No.4
Purpose The aim of this study was to investigate whether standard uptake values (SUVs) of pretreatment 18F-FDG PET/CT were the surrogate parameters for predicting the outcomes in locally advanced esophageal squamous cell carcinoma patients treated with definitive chemoradiotherapy. Materials and Methods Sixty patients with esophageal squamous cell carcinoma underwent pretreatment 18F-FDG PET/CT and received definitive chemoradiotherapy. 18F-FDG metabolic parameters including SUVmax, SUVmean, SULpeak, total lesion glycolysis (TLG), and metabolic tumor volume (MTV) of primary tumor were calculated. The receiver-operating characteristic (ROC) curve was used to determine the optimal cutoff value of FDG PET/CT-derived parameters that associated with treatment response. Estimating progression-free survival (PFS) and overall survival (OS) was analyzed by using Kaplan–Meier methods. Univariate and multivariate analysis for PFS and OS was performed using Cox regression. Results Complete response was achieved in 38.3%. The 4-year OS and PFS rates were 48.6% and 44.4%, respectively. SUVmean with a cutoff value of 6.1 could predict complete response with sensitivity of 69.6%, specificity of 78.4%, and accuracy of 75%. Cox multi-factor regression analyses revealed SUVmean > 6.1 as an independent prognostic factor for OS (HR = 6.74, p = 0.02) and PFS (HR = 6.53, p < 0.001). Conclusions Our study suggests that SUVmean of the primary tumor in pretreatment 18F-FDG PET/CT may be used as an independent predictor in esophageal squamous cell carcinoma patients treated with definitive chemoradiotherapy.
Identification of a nonlinear black-box model for a self-sensing polymer metal composite actuator
Truong, Dinh Quang,Ahn, Kyoung Kwan,Nam, Doan Ngoc Chi,Yoon, Jong Il Institute of Physics Publishing 2010 Smart materials & structures Vol.19 No.8
<P>An ion polymer metal composite (IPMC) is an electro-active polymer that bends in response to a small applied electrical field as a result of the mobility of cations in the polymer network and vice versa. The aim of this paper is the identification of a novel accurate nonlinear black-box model (NBBM) for IPMC actuators with self-sensing behavior based on a recurrent multi-layer perceptron neural network (RMLPNN) and a self-adjustable learning mechanism (SALM).</P><P> Firstly, an IPMC actuator is investigated. Driving voltage signals are applied to the IPMC in order to identify the IPMC characteristics. Secondly, the advanced NBBM for the IPMC is built with suitable inputs and output to estimate the IPMC tip displacement. Finally, the model parameters are optimized by the collected input/output training data.</P><P> Modeling results show that the proposed self-sensing methodology based on the optimized NBBM model can well describe the bending behavior of the IPMC actuator corresponding to its applied power without using any measuring sensor. </P>
Doan Ngoc Chi Nam,Jong Il Yoon,Dinh Quang Truong,Kyoung Kwan Ahn 대한기계학회 2011 대한기계학회 춘추학술대회 Vol.2011 No.10
An ionic polymer metal composite (IPMC) actuator is an Electro-Active Polymer (EAP) that bends in response to a small applied electrical field as a result of mobility of cations in the polymer network. This paper proposes a cascaded model of Preisach operator and fuzzy Nonlinear Auto Regressive Exogenous (NARX) structure for modeling and identifying the nonlinear behavior of on type IPMC actuator. Firstly, a set of open loop input voltage signals were applied to the IPMC in order to investigate the IPMC bending actuation. Consequently, Secondly, a proper Preisach type fuzzy NARX model is developed with one input and one output to estimate the IPMC tip displacement. By employing the collected training data, an identification scheme based on incorporation of least square method and Particle Swarm Optimization (PSO) algorithm is then carried out to tune the model parameters.
Doan Ngoc Chi Nam,Dinh Quang Truong,Yoon Jong Il,Ahn Kyoung Kwan 제어로봇시스템학회 2011 제어로봇시스템학회 국제학술대회 논문집 Vol.2011 No.10
An ionic polymer metal composite (IPMC) actuator is an Electro-Active Polymer (EAP) that bends in response to a small applied electrical field as a result of mobility of cations in the polymer network. This paper proposes a dynamic fuzzy Nonlinear Auto Regressive Exogenous (NARX) model for modeling and identifying the nonlinear behavior of on type IPMC actuator. Firstly, a set of open loop input voltage signals were applied to the IPMC in order to investigate the IPMC bending actuation. Consequently, a proper fuzzy NARX model was constructed and an identification scheme based on Particle Swam Optimization (PSO) algorithm was developed. Validation results proved the ability of proposed scheme to capture the bending behaviors of IPMC actuator.