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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 biasdrift.With 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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Controlling interstory drift ratio profiles via topology optimization strategies

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 165-178 doi: 10.1007/s11709-022-0892-3

Abstract: An approach to control the profiles of interstory drift ratios along the height of building structuresproposed approach involves solving a min–max optimization problem to suppress the maximum interstory driftthe bound formulation and the other utilizes a p-norm function to aggregate all individual interstory driftThe proposed methodology can shape the interstory drift ratio profiles into inverted triangular or quadraticThe optimization results show the optimal structural features for controlling the interstory drift ratios

Keywords： interstory drift ratio     aggregation function     bound formulation     min–max problem     topology optimization    

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Enhanced empirical models for predicting the drift capacity of less ductile RC columns with flexural,

Mohammad Reza AZADI KAKAVAND, Reza ALLAHVIRDIZADEH

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5,   Pages 1251-1270 doi: 10.1007/s11709-019-0554-2

Abstract: Hence, developing precise tools for predicting drift capacities of reinforced concrete (RC) columns isIt serves as the basis for deriving the equations for predicting the drift capacity of RC columns byIt is demonstrated that the proposed equations predict drift capacities, which are in better agreement

Keywords： flexural-shear-axial failure     drift capacity     reinforced concrete columns     statistical analysis     fragility    

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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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The Research on Measurement of Drift in the Evaluation Conclusion of Single Method

Chen Guohong,Li Meijuan,Chen Yantai

Strategic Study of CAE 2004, Volume 6, Issue 3,   Pages 58-63

Abstract:

In this paper drifting nature in the evaluation conclusion of single method is investigated in order to offer the experiment basis for combination evaluation. First, real evaluation problems are divided into 3 classes and emulation experiments are carried on them separately. Then, objects to be evaluated are generated by Matlab 6.1, and are evaluated by using different methods. Third, the compatibility of the comprehensive evaluation methods is discriminated. Finally, the average of the compatible methods is adopted as reference frame in order to measure drifting degree of each method quantitatively.

Keywords： comprehensive evaluation methods     computer simulation experiment     measurement of drift    

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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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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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Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 12,   Pages 1059-1068 doi: 10.1631/FITEE.1400398

Abstract: data streams are immense volume, high production rate, limited data processing time, and data concept driftIn addition, a new method is used to determine drift, which emphasizes the precision of the algorithm

Keywords： Data stream     Classificaion     Ensemble classifiers     Concept drift    

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Behaviour of self-centring shear walls——A state of the art review

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 53-77 doi: 10.1007/s11709-022-0850-0

Abstract: The application of unbonded post-tensioning (PT) in structural walls has led to the development of advanced self-centring (rocking) shear wall systems that has significant advantages, including accelerated construction due to the incorporation of prefabricated elements and segmental construction for different materials (e.g., concrete, masonry, and timber), reduced residual drifts, and little damage upon extreme seismic and wind loads. Concrete, masonry, and timber are often used for the construction of unbonded PT structural wall systems. Despite extensive research since the 1980s, there are no well-established design guidelines available on the shear wall configuration with the required energy dissipation system, joint’s locations and acceptance criteria for shear sliding, confinement, seismic performance factors, PT loss, PT force range and residual drifts of shear walls subjected to lateral loads. In this research a comprehensive state-of-the-art literature review was performed on self-centring shear wall system. An extensive study was carried out to collect a database of 100 concrete, masonry, and self-centring shear wall tests from the literature. The established database was then used to review shear walls’ configurations, material, and components to benchmark requirements applicable for design purposes. The behaviour of concrete, masonry and timber shear walls were compared and critically analysed. The general behaviour, force-displacement performance of the walls, ductility, and seismic response factors, were critically reviewed and analysed for different self-centring wall systems to understand the effect of different parameters including configurations of the walls, material used for construction of the wall (concrete, masonry, timber) and axial stress ratio. The outcome of this research can be used to better understand the behaviour of self-centring wall system in order to develop design guidelines for such walls.

Keywords： self-centring shear walls     rocking walls     energy dissipation     seismic performance factors     PT loss     residual drift    

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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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Seismic fragility assessment of revised MRT buildings considering typical construction changes

Rakesh DUMARU, Hugo RODRIGUES, Humberto VARUM

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 1,   Pages 241-266 doi: 10.1007/s11709-019-0560-4

Abstract: The present study investigates the vulnerability assessment of the prototype revised Mandatory Rule of Thumb (MRT) buildings initially designed and detailed for three storeys bare frame building; later modified through variable number of storeys (three, four, and five) and different arrangement of infill walls (bare frame, soft-storey, irregular infilled, and fully infilled). The application of infill walls increases the fundamental frequencies, stiffness, and maximum strength capacity, but reduces the deformation capability than the bare frame building. The vulnerability was also reduced through infill walls, where the probability of exceeding partial-collapse and collapse damage reduced by 80% and 50%, respectively. Furthermore, the increased in storeys (three to five) also increases the failure probability, such that partial-collapse and collapse for fully infilled increases by almost 55% and 80%, respectively. All obtained results and discussions concluded that the structural sections and details assigned for MRT building is not sufficient if considered as bare frame and soft-storey. And increase in number of storeys causes building highly vulnerable although the infill walls were considered.

Keywords： 2012     masonry infill walls     configurations of infill walls     vulnerability assessment and inter-storey drift    

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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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Title Author Date Type Operation

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

Controlling interstory drift ratio profiles via topology optimization strategies

Journal Article

Enhanced empirical models for predicting the drift capacity of less ductile RC columns with flexural,

Mohammad Reza AZADI KAKAVAND, Reza ALLAHVIRDIZADEH

Journal Article

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

Lili CHEN, Wu ZHOU

Journal Article

The Research on Measurement of Drift in the Evaluation Conclusion of Single Method

Chen Guohong,Li Meijuan,Chen Yantai

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

Anensemble method for data stream classification in the presence of concept drift

Omid ABBASZADEH,Ali AMIRI,Ali Reza KHANTEYMOORI

Journal Article

Behaviour of self-centring shear walls——A state of the art review

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

Seismic fragility assessment of revised MRT buildings considering typical construction changes

Rakesh DUMARU, Hugo RODRIGUES, Humberto VARUM

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