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Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learning domain-invariant representations. Recent approaches achieve this by directly matching the marginal distributions of these two domains. Most of them, however, ignore exploration of the dynamic trade-off between and learning, thus rendering them susceptible to the problems of negative transfer and outlier samples. To address these issues, we introduce the dynamic parameterized learning framework. First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, to adaptively adjust the of and learning. Besides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align training trajectories on both source and target domains. Comprehensive experiments are conducted to validate the effectiveness of the proposed methods, and extensive comparisons are conducted on seven datasets of three visual tasks to demonstrate their practicability.

Keywords： Unsupervised domain adaptation     Optimization steps     Domain alignment     Semantic discrimination    

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Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 318-332 doi: 10.1007/s11709-021-0715-y

Abstract: The aim of this study is to propose a new detection method for determining the damage locations in pile foundations based on deep learning using acoustic emission data. First, the damage location is simulated using a back propagation neural network deep learning model with an acoustic emission data set acquired from pile hit experiments. In particular, the damage location is identified using two parameters: the pile location ( ) and the distance from the pile cap ( ). This study investigates the influences of various acoustic emission parameters, numbers of sensors, sensor installation locations, and the time difference on the prediction accuracy of and . In addition, correlations between the damage location and acoustic emission parameters are investigated. Second, the damage step condition is determined using a classification model with an acoustic emission data set acquired from uniaxial compressive strength experiments. Finally, a new damage detection and evaluation method for pile foundations is proposed. This new method is capable of continuously detecting and evaluating the damage of pile foundations in service.

Keywords： pile foundations     damage location     acoustic emission     deep learning     damage step    

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Essential training steps to achieving competency in the basic intraoperative transesophageal echocardiography

Yong G. Peng,Haibo Song,E. Wang,Weipeng Wang,Jin Liu

Frontiers of Medicine 2015, Volume 9, Issue 1,   Pages 123-128 doi: 10.1007/s11684-014-0366-7

Abstract:

Guidelines for the intraoperative transesophageal echocardiography (TEE) examination have defined a detailed standard for medical professionals, particularly anesthesiologists, on how a TEE exam should proceed. Over the years, TEE has gained substantial popularity and emerged as a preferred monitoring modality to aid in perioperative management and decision making during hemodynamic instability situations or critical care settings. TEE training pathways and practice guidelines have been well established in western countries and many regions of the world. However, TEE training and practice information for anesthesiologists are lacking in China. As innovative technologies develop, other educational models have emerged to aid in obtaining competency in basic TEE exam. Hence, establishing a consensus on the ideal TEE training approach for anesthesiologists in China is urgently needed. Developing an effective curriculum that can be incorporated into an anesthesiology resident’s overall training is also necessary to provide knowledge and skills toward competency in basic TEE exam. With evolving medical system reforms and increasing demands for intraoperative hemodynamic monitoring to accommodate surgical innovations, anesthesiology professionals are increasingly obliged to perform intraoperative TEE exams in their current and future practices. To overcome obstacles and achieve significant progress in using the TEE modality to help in intraoperative management and surgical decision making, publishing basic TEE training guidelines for China’s anesthesiologists is an important endeavor.

Keywords： transesophageal echocardiography     guidelines     training     competency    

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The horizontal distribution of a flight of steps when　the β-particles fly across the copper narrow slot

Zhu Yongqiang,Hao Jianyu

Strategic Study of CAE 2008, Volume 10, Issue 8,   Pages 81-86

Abstract: particles have, and when they fly across the copper narrow step there is the distribution of a flight of steps

Keywords： horizontal vibration of β-particles     the width of copper narrow slot     horizontal distribution of a flight of steps    

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Direct Air Carbon Capture Takes Baby Steps—Giant Strides Are Needed

Sean O´Neill

Engineering 2022, Volume 8, Issue 1,   Pages 3-5 doi: 10.1016/j.eng.2021.11.005

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Steps of fronts in chemical engineering: An overview of the publications of FCSE

Xiaowen Zhu, Yaodong Huang, Jing-Kang Wang

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 4,   Pages 593-597 doi: 10.1007/s11705-018-1789-5

Abstract:
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Next Steps for Efficacy Evaluation in Clinical Trials of COVID-19 Vaccines

Hu-Dachuan Jiang, Li Zhang, Jing-Xin Li, Feng-Cai Zhu

Engineering 2021, Volume 7, Issue 7,   Pages 903-907 doi: 10.1016/j.eng.2021.04.013

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Some Thoughts of Chinaese Integrated Space - Ground Network System

Shen Rongjun

Strategic Study of CAE 2006, Volume 8, Issue 10,   Pages 19-30

Abstract: Finally, suggestions are given regarding the steps of development.

Keywords： integrated space network     system architecture     network protocols     steps of program development    

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Synergistic optimization framework for the process synthesis and design of biorefineries

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 251-273 doi: 10.1007/s11705-021-2071-9

Abstract: We propose a novel framework incorporating superstructure optimization and simulation-based optimizationIn this context, several approaches for superstructure optimization based on different surrogate modelsThe results indicate that even though surrogate-based optimization approaches alleviate the underlyingFurthermore, the framework’s synergistic effects by sequentially performing superstructure optimizationThese findings invite for a critical assessment of surrogate-based optimization approaches and point

Keywords： biotechnology     surrogate modelling     superstructure optimization     simulation-based optimization     process    

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Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Frontiers of Engineering Management 2020, Volume 7, Issue 3,   Pages 335-358 doi: 10.1007/s42524-020-0112-6

Abstract: System reliability optimization problems have been widely discussed to maximize system reliability withThe rules for simple optimization problems are summarized to enhance system reliability by using rankingThe importance-based optimization algorithms for complex or large-scale systems are generalized to obtainFurthermore, a general framework driven by IM is developed to solve optimization problems.Finally, some challenges in system reliability optimization that need to be solved in the future are

Keywords： importance measure     system performance     reliability optimization     optimization rules     optimization algorithms    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Frontiers of Engineering Management   Pages 499-516 doi: 10.1007/s42524-022-0221-5

Abstract: Then, a time–space network optimization model is built, and its corresponding solution algorithm is presented

Keywords： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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The Waveform Analysis and Engineering Computation of the Rail-beam Straightening Force in the Straightening process

Shen Jiuyan

Strategic Study of CAE 2000, Volume 2, Issue 1,   Pages 47-52

Abstract: analysis of top rollers, analyzed straightening forces and straightening process by way of pressure steps

Keywords： roller type straightening mills     straightening forces     straightening forces components     pressure steps     waveform    

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Design and optimization of reactive distillation: a review

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 799-818 doi: 10.1007/s11705-021-2128-9

Abstract: To overcome this problem, the design and optimization of reactive distillation have been widely studiedThese design and optimization methods of the reactive distillation process are classified into threecategories: graphical, optimization-based, and evolutionary/heuristic methods.The primary objective of this article is to provide an up-to-date review of the existing design and optimizationPerspectives on future research on the design and optimization of reactive distillation method are proposed

Keywords： reactive distillation     process intensification     design method     reactive phase diagram     optimization algorithm    

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Review on the design and optimization of hydrogen liquefaction processes

Liang YIN, Yonglin JU

Frontiers in Energy 2020, Volume 14, Issue 3,   Pages 530-544 doi: 10.1007/s11708-019-0657-4

Abstract: In this paper, the detailed progress of design and optimization for hydrogen liquefaction in recent yearsFinally, several future improvements for hydrogen liquefaction process design and optimization are proposed

Keywords： hydrogen liquefaction     energy consumption     efficiency     optimization    

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Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 57-74 doi: 10.1007/s11709-021-0784-y

Abstract: In this paper, the seismic design optimization of spatial steel dome structures is achieved through threerecent metaheuristic algorithms that are water strider (WS), grey wolf (GW), and brain storm optimizationdesign results obtained by classical metaheuristic algorithms and a gradient descent-based hyperband optimization

Keywords： steel dome optimization     water strider algorithm     grey wolf algorithm     brain storm optimization algorithm     hyperband optimization algorithm    

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Title Author Date Type Operation

Dynamic parameterized learning for unsupervised domain adaptation

Runhua JIANG, Yahong HAN

Journal Article

Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep

Alipujiang JIERULA, Tae-Min OH, Shuhong WANG, Joon-Hyun LEE, Hyunwoo KIM, Jong-Won LEE

Journal Article

Essential training steps to achieving competency in the basic intraoperative transesophageal echocardiography

Yong G. Peng,Haibo Song,E. Wang,Weipeng Wang,Jin Liu

Journal Article

The horizontal distribution of a flight of steps when　the β-particles fly across the copper narrow slot

Zhu Yongqiang,Hao Jianyu

Journal Article

Direct Air Carbon Capture Takes Baby Steps—Giant Strides Are Needed

Sean O´Neill

Journal Article

Steps of fronts in chemical engineering: An overview of the publications of FCSE

Xiaowen Zhu, Yaodong Huang, Jing-Kang Wang

Journal Article

Next Steps for Efficacy Evaluation in Clinical Trials of COVID-19 Vaccines

Hu-Dachuan Jiang, Li Zhang, Jing-Xin Li, Feng-Cai Zhu

Journal Article

Some Thoughts of Chinaese Integrated Space - Ground Network System

Shen Rongjun

Journal Article

Synergistic optimization framework for the process synthesis and design of biorefineries

Journal Article

Recent advances in system reliability optimization driven by importance measures

Shubin SI, Jiangbin ZHAO, Zhiqiang CAI, Hongyan DUI

Journal Article

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

Journal Article

The Waveform Analysis and Engineering Computation of the Rail-beam Straightening Force in the Straightening process

Shen Jiuyan

Journal Article

Design and optimization of reactive distillation: a review

Journal Article

Review on the design and optimization of hydrogen liquefaction processes

Liang YIN, Yonglin JU

Journal Article

Comparative seismic design optimization of spatial steel dome structures through three recent metaheuristic

Journal Article