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Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 195-201 doi: 10.15302/J-FEM-2017052

Abstract: In this work, we examine the impact of crude distillation unit (CDU) model errors on the results of refinery-wideWe compare the swing cut+ bias CDU model with a recently developed hybrid CDU model (Fu et al., 2016)The hybrid CDU model computes material and energy balances, as well as product true boiling point (TBPCase studies of optimal operation computed using a planning model that is based on the swing cut+ biasCDU model and using a planning model that incorporates the hybrid CDU model are presented.

Keywords： impact of model accuracy on production planning     swing cut+ bias CDU model     hybrid CDU model     refinery feedstock    

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A combined modulated feedback and temperature compensation approach to improve bias drift of a closed-loop

Ming-jun MA,Zhong-he JIN,Hui-jie ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6,   Pages 497-510 doi: 10.1631/FITEE.1400349

Abstract: The bias drift of a micro-electro-mechanical systems (MEMS) accelerometer suffers from the 1/ noiseFor massive applications, the bias drift urgently needs to be improved.this paper, a combined approach on closed-loop architecture modification is proposed to minimize the biasWith the combined approach, the bias instability is improved to less than 13 μ , and the drift of the

Keywords： Bias drift     Closed-loop MEMS accelerometer     Modulated feedback approach     Temperature compensation    

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Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer

Lili CHEN, Wu ZHOU

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 146-149 doi: 10.1007/s11465-013-0260-z

Abstract:

To predict more precisely the frequency of force-balanced micro accelerometer with different biasvoltages, the effects of bias voltages on error sensitivity of frequency is studied.the theoretical results, micro accelerometer is fabricated and tested to study the influences of AC biasvoltage and DC bias voltage on sensitivity, respectively.error can be used to predict the frequency of accelerometer with no need to consider the influence of bias

Keywords： Micro-Electro-Mechanical Systems (MEMS)     micro accelerometer     force-balanced micro accelerometer     frequency     error sensitivity    

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Performance analysis of two EM-based measurement bias estimation processes for tracking systems None

Zhi-hua LU, Meng-yao ZHU, Qing-wei YE, Yu ZHOU

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1151-1165 doi: 10.1631/FITEE.1800214

Abstract: To accurately estimate the target trajectory, it is essential that the measurement bias be identifiedWe investigate the iterative bias estimation process based on the expectation-maximization (EM) algorithmwhich is formulated as a random variable in one state-space model and a constant value in another.It is found that the bias estimate in the second state-space model is more accurate and of less complexityFurthermore, the EM-based iterative estimation converges faster in the second state-space model than

Keywords： Non-linear state-space model     Measurement bias     Extended Kalman filter     Extended Kalman smoothing     Expectation-maximization    

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A method for quantifying bias in modeled concentrations and source impacts for secondary particulate

Cesunica E. Ivey, Heather A. Holmes, Yongtao Hu, James A. Mulholland, Armistead G. Russell

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 5, doi: 10.1007/s11783-016-0866-6

Abstract: The method provides estimates of bias in modeled concentrations.These compounds constitute the majority of PM mass, and reducing bias in estimated concentrations hasThe bias correction adjusts concentrations and source impacts based on the difference between modeledto determine the performance of the spatial application of the bias correction.The methods presented here address model uncertainties by improving simulated concentrations and source

Keywords： Particulate matter     Source apportionment     Secondary particulate matter     Chemical transport modeling     Receptor modeling    

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Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 221-238 doi: 10.1007/s42524-019-0026-3

Abstract: Understanding of the constitution of client involved decisions is important for future improvements of the processes. Significant decisions in construction projects are reliant on heuristic processes where assumptions are developed from past experience. The paper presents a methodology to collect empirical data in an unstructured manner utilizing participant intuition and experience regarding project level collaboration, a term easily understood by practitioners. Empirical data collected from 6 focus group discussions in Norway and 18 individual interviews in Finland is associated with biases in decision making aimed at bridging the gap of understanding and literature’s insufficient coverage. An analytic framework was developed to suit the diverse emergence of concepts to allow application of psychological principles in a structured manner to empirical data. The paper contributes by identifying types of cognitive and motivational biases in client involved decisions. The biases are found to be alleviated by one another depending on the particular application of the decision. Findings suggest that normative beliefs exist developed from past experience and habitual thinking. A number of emerged biases in this domain are alleviated from normative beliefs which are discussed in this paper.

Keywords： collaboration     construction industry     social science     decision-making     client     cognitive bias     motivationalbias     holistic analysis     human factor    

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Study on Bias Coal Combustion Technologies with Air-surrounding-fuel

Qin Yukun,Li Zhengqi,Sun Rui,Chen Lizhe,Sun Shaozeng,Zhu Qunyi,Li Ruiyang,Gao Jihui,Wu Shaohua

Strategic Study of CAE 2002, Volume 4, Issue 11,   Pages 42-49

Abstract: analyses the major findings of research during the last 15 years in Harbin Institute of Technology, on biasThe theory and characteristics of air-surrounding-fuel flow of bias coal combustion technologies are

Keywords： boiler     burner     bias combustion     NOx    

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Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source data

Yilan Cui, Xing Xie, Yi Liu

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1068-1

Abstract:

Ways for detecting and moderating sample bias

Keywords： Social media     Human mobility     Population bias     Sample reconstruction     Data integration    

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Same stimuli, different responses: a pilot study assessing air pollution visibility impacts on emotional well-being in a controlled environment

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1620-5

Abstract:

● Emotional responses to visibility-reducing haze was assessed in a controlled lab.

Keywords： Air pollution     Emotional wellbeing     Variability     Visual exposure     Emotional bias    

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Theoretical prediction and validation of global horizontal solar irradiance for a tropical climate in India

Sivasankari SUNDARAM,Jakka SARAT CHANDRA BABU

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 311-321 doi: 10.1007/s11708-015-0369-3

Abstract: created using Visual Basic 2010 Express, which provided the evaluation of empirical parameters for modelproposed regression models were validated by the significance of statistical indicators such as mean bias

Keywords： global horizontal irradiance (GHI)     mean bias error     root mean square error     mean percentage error     coefficient    

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An industrial solution to light-induced degradation of crystalline silicon solar cells

Meng XIE,Changrui REN,Liming FU,Xiaodong QIU,Xuegong YU,Deren YANG

Frontiers in Energy 2017, Volume 11, Issue 1,   Pages 67-71 doi: 10.1007/s11708-016-0430-x

Abstract: are formed under the injection of excess carriers induced either by illumination or applying forward biasdemonstrated that the passivation process of boron-oxygen defects can be induced by applying forward bias

Keywords： Boron-oxygen defects     c-Si solar cells     light-induced degradation     passivation     forward bias    

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract: methods include predicate logic, semantic network, computer programming language, database, mathematical modelintrinsic link between various knowledge representation methods, a unified knowledge representation modelAccording to ontology, system theory, and control theory, a standard model of knowledge representationThe model is composed of input, processing, and output.In addition, the standard model of knowledge representation provides a way to solve problems of non-precision

Keywords： knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

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State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Strategic Study of CAE 2004, Volume 6, Issue 3,   Pages 68-74

Abstract: The relevant underlying physical assumptions are presented first and the conventional model performance

Keywords： compartment     field model     zone model     network model     FZN (field     zone and network) model     empirical model    

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Elevated temperature creep model of parallel wire strands

Frontiers of Structural and Civil Engineering   Pages 1060-1071 doi: 10.1007/s11709-023-0981-y

Abstract: analyze their creep behavior, this study experimentally investigated the elevated temperature creep modelThe parameters in the general empirical formula, the Bailey–Norton model, and the composite time-hardeningmodel were fitted based on the experimental results.By evaluating the accuracy and form of the models, the composite time-hardening model, which can simultaneously

Keywords： parallel wire strands     experimental study     elevated temperature creep model    

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Title Author Date Type Operation

Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

Journal Article

A combined modulated feedback and temperature compensation approach to improve bias drift of a closed-loop

Ming-jun MA,Zhong-he JIN,Hui-jie ZHU

Journal Article

Dependence of error sensitivity of frequency on bias voltage in force-balanced micro accelerometer

Lili CHEN, Wu ZHOU

Journal Article

Performance analysis of two EM-based measurement bias estimation processes for tracking systems

Zhi-hua LU, Meng-yao ZHU, Qing-wei YE, Yu ZHOU

Journal Article

A method for quantifying bias in modeled concentrations and source impacts for secondary particulate

Cesunica E. Ivey, Heather A. Holmes, Yongtao Hu, James A. Mulholland, Armistead G. Russell

Journal Article

Common biases in client involved decision-making in the AEC industry

Sujesh F. SUJAN, Arto KIVINIEMI, Steve W. JONES, Jacqueline M. WHEATHCROFT, Eilif HJELSETH

Journal Article

Study on Bias Coal Combustion Technologies with Air-surrounding-fuel

Qin Yukun,Li Zhengqi,Sun Rui,Chen Lizhe,Sun Shaozeng,Zhu Qunyi,Li Ruiyang,Gao Jihui,Wu Shaohua

Journal Article

Social media and mobility landscape: Uncovering spatial patterns of urban human mobility with multi source data

Yilan Cui, Xing Xie, Yi Liu

Journal Article

Same stimuli, different responses: a pilot study assessing air pollution visibility impacts on emotional well-being in a controlled environment

Journal Article

Theoretical prediction and validation of global horizontal solar irradiance for a tropical climate in India

Sivasankari SUNDARAM,Jakka SARAT CHANDRA BABU

Journal Article

An industrial solution to light-induced degradation of crystalline silicon solar cells

Meng XIE,Changrui REN,Liming FU,Xiaodong QIU,Xuegong YU,Deren YANG

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

Zhang Zhengyan: Pre Training Language Model Integrating Knowledge (2020-4-3)

18 Apr 2022

Conference Videos

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Journal Article

Elevated temperature creep model of parallel wire strands

Journal Article