Search | Engineering

Subscribe Submit

Home Journals Focus Achievement Fronts About Us 中文版

Resource Type

Journal Article 62

Year

2023 7

2022 7

2021 7

2020 7

2019 2

2018 5

2017 5

2013 1

2010 1

2008 4

2007 3

2006 3

2005 2

2004 1

2002 1

2001 1

open ︾

Keywords

Model predictive control 3

Visual analytics 3

data analytics 3

model predictive control 3

Big data analytics 2

Industry 4.0 2

Intelligent manufacturing 2

Internet of Things 2

Predictive model 2

Smart manufacturing 2

artificial neural network 2

neural network 2

14th Five-Year Plan 1

in vivo predictive dissolution 1

Access scheduling 1

Active learning 1

Artificial potential field 1

Automated truck 1

Autonomous driving 1

open ︾

Search scope:

排序： Display mode:

Heterogeneous length-of-stay modeling of post-acute care residents in the nursing home with competing discharge dispositions

Frontiers of Engineering Management Pages 577-591 doi: 10.1007/s42524-022-0203-7

Abstract: Existing predictive analytics methods, such as distribution-/regression-based methods and machine learningIn this work, a data-driven predictive analytics approach is considered to jointly predict the individualizedA sampling algorithm is further developed to generate accurate predictive samples for a heterogeneousThe developed analytics tools will allow NH management groups to identify the most at-risk residents

Keywords： nursing home predictive analytics individualized prediction competing risks health outcomes

HTML PDF Collect

Data analytics and optimization for smart industry

Lixin TANG, Ying MENG

Frontiers of Engineering Management 2021, Volume 8, Issue 2, Pages 157-171 doi: 10.1007/s42524-020-0126-0

Abstract: First, this study describes a general methodology for the fusion of data analytics and optimization.Then, it identifies some data analytics and system optimization technologies to handle key issues inThe framework uses data analytics to perceive and analyze industrial production and logistics processesData analytics and system optimization technologies are employed in the four-level framework to overcomeThe fusion of data analytics and optimization allows enterprises to enhance the prediction and control

Keywords： data analytics system optimization smart industry

HTML PDF Collect

Integrated and Intelligent Manufacturing: Perspectives and Enablers

Yubao Chen

Engineering 2017, Volume 3, Issue 5, Pages 588-595 doi: 10.1016/J.ENG.2017.04.009

Abstract:

With ever-increasing market competition and advances in technology, more and more countries are prioritizing advanced manufacturing technology as their top priority for economic growth. Germany announced the Industry 4.0 strategy in 2013. The US government launched the Advanced Manufacturing Partnership (AMP) in 2011 and the National Network for Manufacturing Innovation (NNMI) in 2014. Most recently, the Manufacturing USA initiative was officially rolled out to further “leverage existing resources… to nurture manufacturing innovation and accelerate commercialization” by fostering close collaboration between industry, academia, and government partners. In 2015, the Chinese government officially published a 10-year plan and roadmap toward manufacturing: Made in China 2025. In all these national initiatives, the core technology development and implementation is in the area of advanced manufacturing systems. A new manufacturing paradigm is emerging, which can be characterized by two unique features: integrated manufacturing and intelligent manufacturing. This trend is in line with the progress of industrial revolutions, in which higher efficiency in production systems is being continuously pursued. To this end, 10 major technologies can be identified for the new manufacturing paradigm. This paper describes the rationales and needs for integrated and intelligent manufacturing (i²M) systems. Related technologies from different fields are also described. In particular, key technological enablers, such as the Internet of Things and Services (IoTS), cyber-physical systems (CPSs), and cloud computing are discussed. Challenges are addressed with applications that are based on commercially available platforms such as General Electric (GE)’s Predix and PTC’s ThingWorx.

Keywords： Intelligent manufacturing Cloud computing Cyber-physical system Internet of Things Industrial Internet Predictiveanalytics Manufacturing platform

HTML PDF Collect

Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng WU

Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 169-171 doi: 10.1007/s42524-020-0114-4

HTML PDF Collect

Intelligent data analytics is here to change engineering management

Jonathan Jingsheng SHI, Saixing ZENG, Xiaohua MENG

Frontiers of Engineering Management 2017, Volume 4, Issue 1, Pages 41-48 doi: 10.15302/J-FEM-2017003

Abstract: This position paper argues that data analytics is ready to change engineering management in the followingmanagement, the paper proposes researchable topics in the two broad areas of data acquisition and data analytics

Keywords： engineering management project management big data data analytics planning execution

HTML PDF Collect

CORRECTION to: Special issue: Decision, risk analytics and data intelligence

Xiaozhe ZHAO, Desheng Wu

Frontiers of Engineering Management Pages 697-697 doi: 10.1007/s42524-020-0139-8

HTML PDF Collect

Real-time mobile robot teleoperation via Internet based on predictive control

WANG Shihua, XU Bugong, WANG Shihua, ZHOU Yeming, LIU YunHui

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 3, Pages 299-306 doi: 10.1007/s11465-008-0049-7

Abstract: To compensate for the network delay and counteract its impact on the teleoperation system, a predictiveForce feedback and a virtual predictive display are introduced to enhance the real-time efficiency of

Keywords： predictive feedback virtual predictive distance synchronization algorithm

HTML PDF Collect

A literature review of perishable medical resource management

Frontiers of Engineering Management Pages 710-726 doi: 10.1007/s42524-023-0278-9

Abstract: Furthermore, research on service innovation, decision analytics, and supply chain resilience elucidates

Keywords： perishable medical resources organ transplant healthcare products decision analytics operations management

HTML PDF Collect

Special issue: Operations analytics and optimization for manufacturing, logistics and energy systems

Jiming WANG, Jie LIU, Anlin SHAO, Lixin TANG

Frontiers of Engineering Management 2017, Volume 4, Issue 3, Pages 239-241 doi: 10.15302/J-FEM-2017109

HTML PDF Collect

Multi-timescale optimization scheduling of interconnected data centers based on model predictive control

Frontiers in Energy doi: 10.1007/s11708-023-0912-6

Abstract: multi-timescale optimal scheduling model is established for interconnected data centers (IDCs) based on model predictive

Keywords： model predictive control interconnected data center multi-timescale optimized scheduling distributed

HTML PDF Collect

The CatMath: an online predictive platform for thermal + electrocatalysis

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12, Pages 2156-2160 doi: 10.1007/s11705-023-2371-3

Abstract: The catalytic volcano activity models are the quantified and visualized tools of the Sabatier principle for heterogeneous catalysis, which can depict the intrinsic activity optima and trends of a catalytic reaction as a function of the reaction descriptors, i.e., the bonding strengths of key reaction species. These models can be derived by microkinetic modeling and/or free energy changes in combination with the scaling relations among the reaction intermediates. Herein, we introduce the CatMath—an online platform for generating a variety of common and industrially important thermal + electrocatalysis. With the CatMath, users can request the volcano models for available reactions and analyze their materials of interests as potential catalysts. Besides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface state analysis under electrocatalytic conditions, which is an essential step before analyzing the activity of an electrocatalytic surface. All the model generation and analysis processes are realized by cloud computing via a user-friendly interface.

Keywords： CatMath catalysis volcano activity plots Surface Pourbaix Diagrams online platform

HTML PDF Collect

Extended model predictive control scheme for smooth path following of autonomous vehicles

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 1, Pages 4-4 doi: 10.1007/s11465-021-0660-4

Abstract: This paper presents an extended model predictive control (MPC) scheme for implementing optimal path following

Keywords： autonomous vehicles vehicle dynamic modeling model predictive control path following optimization

HTML PDF Collect

machine-learning-based system identification of dynamical systems under control: application towards the model predictive

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 237-250 doi: 10.1007/s11705-021-2058-6

Abstract: ., model predictive control, can offer superior control of key process variables for multiple-input multiple-outputblack-box nonlinear continuous-time multiple-input multiple-output system models for nonlinear model predictiveoutput and manipulated variables were trained on simulated data and integrated into a nonlinear model predictiveThis demonstration of how such system models could be identified for nonlinear model predictive control

Keywords： nonlinear model predictive control black-box modeling continuous-time system identification machine

HTML PDF Collect

Monitoring checkpoint inhibitors: predictive biomarkers in immunotherapy

Min Zhang, Jingwen Yang, Wenjing Hua, Zhong Li, Zenghui Xu, Qijun Qian

Frontiers of Medicine 2019, Volume 13, Issue 1, Pages 32-44 doi: 10.1007/s11684-018-0678-0

Abstract: Therefore, doctors urgently need reliable predictive biomarkers for checkpoint inhibitor therapies to

Keywords： immune checkpoint companion diagnosis PD-L1 tumor mutation burden immune score

HTML PDF Collect

Abnormal glycosylated hemoglobin as a predictive factor for glucose metabolism disorders in antipsychotic

XU Leping, JI Juying, DUAN Yiyang, SHI Hui, ZHANG Bin, SHAO Yaqin, SUN Jian

Frontiers of Medicine 2007, Volume 1, Issue 3, Pages 316-319 doi: 10.1007/s11684-007-0061-z

Abstract: The aim of this study was to observe the changes in glucose metabolism after antipsychotic (APS) therapy, to note the influencing factors, as well as to discuss the relationship between the occurrence of glucose metabolism disorders of APS origin and abnormal glycosylated hemoglobin (HbAc) levels. One hundred and fifty-two patients with schizophrenia, whose fasting plasma glucose (FPG) and 2-h plasma glucose (2hPG) in the oral glucose tolerance test (2HPG) were normal, were grouped according to the HbAc levels, one normal and the other abnormal, and were randomly enrolled into risperidone, clozapine and chlorpromazine treatment for six weeks. The FPG and 2hPG were measured at the baseline and at the end of the study. In the group with abnormal HbA1c and clozapine therapy, 2HPG was higher after the study [(9.5±1.8) mmol/L] than that before the study [(7.2±1.4) mmol/L] and the difference was statistically significant (〈0.01). FPG had no statistically significant difference before and after the study in any group (〉0.05). HbAc levels and drugs contributing to 2HPG at the end of study had statistical cross-action (〈0.01). In the abnormal HbAc group, 2HPG after the study was higher in the clozapine treatment group [(9.5±1.8) mmol/L] than in the risperidone treatment group [(7.4±1.7) mmol/L] and the chlorpromazine treatment group [(7.3±1.6) mmol/L]. The differences were statistically significant (〈0.01). In the normal HbAc group there was no statistically significant difference before and after the study in any group (〉0.05). 2HPG before [(7.1±1.6) mmol/L] and after the study [(8.1±1.9) mmol/L] was higher in the abnormal HbAc group than in the normal HbAc group [(6.2±1.4) mmol/L (6.5±1.4) mmol/L] with the difference being statistically significant (〈0.01 〈0.001). As compared with normal HbAc group, the relative risk (RR) of glucose metabolism disease occurrence was 4.7 in the abnormal HbAc group with the difference being statistically significant (〈0.001). Patients with abnormal HbAc are more likely to have a higher risk of having glucose metabolism disorders after APS treatment.

Keywords： significant difference occurrence hemoglobin risperidone treatment abnormal