Search Results - "Shyan-Shu Shieh"
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SIRT3 deacetylates FOXO3 to protect mitochondria against oxidative damage
Published in Free radical biology & medicine (01-10-2013)“…Progressive accumulation of defective mitochondria is a common feature of aged cells. SIRT3 is a NAD+-dependent protein deacetylase that regulates…”
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2
Plant-wide design and control of acetic acid dehydration system via heterogeneous azeotropic distillation and divided wall distillation
Published in Journal of process control (2008)“…Energy-saving plant-wide design and plant-wide control of an acetic acid dehydration system with the feed containing methyl acetate and p-xylene are…”
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3
Statistical key variable analysis and model-based control for the improvement of thermal efficiency of a multi-fuel boiler
Published in Fuel (Guildford) (01-05-2010)“…Burning multi-fuel, including gases, liquid fuels and coal, whose flow rates and heating values vary all the time, a typical boiler in the steel and iron plant…”
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4
Electricity Gain via Integrated Operation of Turbine Generator and Cooling Tower Using Local Model Network
Published in IEEE transactions on energy conversion (01-03-2011)“…This paper presents a model-based optimization approach to determine operation mode of a set of fans in the cooling tower (CT) by considering turbine generator…”
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SIRT3 interactions with FOXO3 acetylation, phosphorylation and ubiquitinylation mediate endothelial cell responses to hypoxia
Published in Biochemical journal (15-11-2014)“…The endothelial cells (ECs) that line the vascular lumen are exposed to a wide variety of environmental stresses, such as hypoxia. Maladaptation to stress in…”
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Energy conservation improvement and ON–OFF switch times reduction for an existing VFD-fan-based cooling tower
Published in Applied energy (15-09-2015)“…•Achieve energy saving and reduce the ON/OFF switching frequency at the same time.•Propose a PI feedback controller with a temperature zone setting.•Implement…”
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7
Model predictive control for improving waste heat recovery in coke dry quenching processes
Published in Energy (Oxford) (01-02-2015)“…CDQ (coke dry quenching) is a widely used method for recovering waste heat in the steel industry. We have developed a novel, data driven modeling approach and…”
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Computer-aided Modeling and Optimization of Thermal Efficiency for Multi-fuel Boiler
Published in 23rd European Symposium on Computer Aided Process Engineering (2013)“…The plant input variables are transformed into the derived variables, which are physically and statistically meaningful for modeling. Then, this study proposed…”
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Developing a robust model predictive control architecture through regional knowledge analysis of artificial neural networks
Published in Journal of process control (01-08-2003)“…Chemical processes are nonlinear. Model based control schemes such as model predictive control are highly related to the accuracy of the process model. For a…”
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10
Discrete model-based operation of cooling tower based on statistical analysis
Published in Energy conversion and management (01-09-2013)“…•We introduce an index to describe the cooling capability of a cooling tower.•The effect of ambient air on cooling capability is studied by statistics…”
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Efficiency improvement of cogeneration system using statistical model
Published in Energy conversion and management (01-04-2013)“…► A strategy integrated the CD, TG and CT as a whole system is proposed. ► The optimal Tcw,out is calculated by the solving the optimization problem. ► A…”
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12
Development of guidelines for optimal operation of a cogeneration system
Published in Journal of the Taiwan Institute of Chemical Engineers (01-08-2019)“…•Online operating guidelines find the maximum net electrical energy.•Multi-linear model for variable-frequency fans was built.•The cooling capability index was…”
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13
A two-tier approach to the data-driven modeling on thermal efficiency of a BFG/coal co-firing boiler
Published in Fuel (Guildford) (01-09-2013)“…•A model is obtained by the derived variables and NNG variable selection.•The model is justified by less than 0.03% of prediction error.•The proposed modeling…”
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14
Soft-sensor development with adaptive variable selection using nonnegative garrote
Published in Control engineering practice (01-09-2013)“…In this study, a soft-sensor modeling algorithm with adaptive partial least squares nonnegative garrote is developed by incorporating nonstationary…”
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Statistical multi-model approach for performance assessment of cooling tower
Published in Energy conversion and management (01-02-2011)“…This paper presents a data-driven model-based assessment strategy to investigate the performance of a cooling tower. In order to achieve this objective, the…”
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Development of Guidelines for Optimal Operation of a Cogeneration System
Published in Computer Aided Chemical Engineering (2019)“…Guidelines for optimal operation strategy of cooling water temperature are presented to find the maximum net electrical energy of a cogeneration system for…”
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Book Chapter -
17
Development of adaptive soft sensor based on statistical identification of key variables
Published in Control engineering practice (01-09-2009)“…An adaptive data-driven soft sensor is derived based on a systematic key variables selection of a process system. The key variables are captured using the…”
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Journal Article -
18
Data-driven modeling approach for performance analysis and optimal operation of a cooling tower
Published in Journal of the Taiwan Institute of Chemical Engineers (01-01-2014)“…•Introducing an adaptive soft sensor in the cooling tower process.•Proposing and implementing an optimal fan operation strategy.•Demonstrating significant…”
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19
Generalized Multivariable Dynamic Artificial Neural Network Modeling for Chemical Processes
Published in Industrial & engineering chemistry research (06-12-1999)“…This work presents a novel systematic approach to acquire good-quality plant data that can be efficiently used to build a complete dynamic empirical model…”
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20
Controller design and reduction of bullwhip for a model supply chain system using z-transform analysis
Published in Journal of process control (01-08-2004)“…In this work, a discrete time series model of a supply chain system is derived using material balances and information flow. Transfer functions for each unit…”
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