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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: The paper contributes by identifying types of cognitive and motivational biases in client involved decisions

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

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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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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 modeledThe normalized mean bias in modeled concentrations compared to observations was effectively zero forto determine the performance of the spatial application of the bias correction.

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

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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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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) algorithmMore importantly, we theoretically derive the global convergence result of the EM-based measurement biasIt is found that the bias estimate in the second state-space model is more accurate and of less complexityAs a byproduct, the target trajectory can be simultaneously estimated with the measurement bias, after

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

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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: We compare the swing cut+ bias CDU model with a recently developed hybrid CDU model (Fu et al., 2016)Case studies of optimal operation computed using a planning model that is based on the swing cut+ bias

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

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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: proposed 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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Precise Orbit Determination for the FY-3C Satellite Using Onboard BDS and GPS Observations from 2013, 2015, and 2017 Article

Xingxing Li , Keke Zhang, Xiangguang Meng, Wei Zhang, Qian Zhang, Xiaohong Zhang, Xin Li

Engineering 2020, Volume 6, Issue 8,   Pages 904-912 doi: 10.1016/j.eng.2019.09.001

Abstract: The overlap comparison result indicates that code bias correction of BDS can improve the POD accuracy

Keywords： Fengyun-3C     LEO precise orbit determination     Onboard BDS and GPS     BDS code bias     BDS/GPS combined POD    

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Title Author Date Type Operation

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

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

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

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

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

Impact of crude distillation unit model accuracy on refinery production planning

Gang FU, Pedro A. Castillo CASTILLO, Vladimir MAHALEC

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

Precise Orbit Determination for the FY-3C Satellite Using Onboard BDS and GPS Observations from 2013, 2015, and 2017

Xingxing Li , Keke Zhang, Xiangguang Meng, Wei Zhang, Qian Zhang, Xiaohong Zhang, Xin Li

Journal Article