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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Data-based methods of supervised learning have gained popularity because of available Big Data and computingHowever, the common paradigm of the loss function in supervised learning requires large amounts of labeledTherefore, a fault detection method based on self-supervised feature learning was proposed to addressFirst, self-supervised learning was employed to extract features under various working conditions onlyThe self-supervised representation learning uses a sequence-based Triplet Loss.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear    

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Self-supervised graph learning with target-adaptive masking for session-based recommendation Research Article

Yitong WANG, Fei CAI, Zhiqiang PAN, Chengyu SONG,wangyitong20@nudt.edu.cn,caifei08@nudt.edu.cn,panzhiqiang@nudt.edu.cn,songchengyu@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 73-87 doi: 10.1631/FITEE.2200137

Abstract: To tackle the above issues, we propose a self-supervised graph learning with (SGL-TM) method.Specifically, we first construct a global graph based on all involved sessions and subsequently capture the self-supervisedAfter that, we calculate the main supervised loss by comparing the ground truth with the predicted scoresFinally, we combine the main supervised component with the auxiliary self-supervision module to obtain

Keywords： Session-based recommendation     Self-supervised learning     Graph neural networks     Target-adaptive masking    

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A self-supervised method for treatment recommendation in sepsis Research Articles

Sihan Zhu, Jian Pu,jianpu@fudan.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 7,   Pages 926-939 doi: 10.1631/FITEE.2000127

Abstract: In this work, we apply a self-supervised method based on (RL) for on individuals.Combined with the self-supervised way for better state and action representations, we propose a deep

Keywords： 治疗推荐；脓毒症；自监督学习；强化学习；电子病历    

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Depth estimation using an improved stereo network Research Article

Wanpeng XU, Ling ZOU, Lingda WU, Yue QI, Zhaoyong QIAN,xuwp@pcl.ac.cn,zouling@bfa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5,   Pages 777-789 doi: 10.1631/FITEE.2000676

Abstract: depth estimation approaches present excellent results that are comparable to those of the fully supervised

Keywords： Monocular depth estimation     Self-supervised     Image reconstruction    

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Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised Research Article

Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1814-1827 doi: 10.1631/FITEE.2200053

Abstract: As an indispensable part of process monitoring, the performance of relies heavily on the sufficiency of process knowledge. However, data labels are always difficult to acquire because of the limited sampling condition or expensive laboratory analysis, which may lead to deterioration of classification performance. To handle this dilemma, a new strategy is performed in which enhanced is employed to evaluate the value of each unlabeled sample with respect to a specific labeled dataset. Unlabeled samples with large values will serve as supplementary information for the training dataset. In addition, we introduce several reasonable indexes and criteria, and thus human labeling interference is greatly reduced. Finally, the effectiveness of the proposed method is evaluated using a numerical example and the Tennessee Eastman process.

Keywords： Semi-supervised     Active learning     Ensemble learning     Mixture discriminant analysis     Fault classification    

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NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images

Luo-yang Xue, Qi-rong Mao, Xiao-hua Huang, Jie Chen,mao_qr@ujs.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1267-1412 doi: 10.1631/FITEE.1900618

Abstract: Large-scale datasets are driving the rapid developments of deep convolutional neural networks for . However, the annotation of large-scale datasets is expensive and time consuming. Instead, it is easy to obtain weakly labeled web images from the Internet. However, noisy labels still lead to seriously degraded performance when we use images directly from the web for training networks. To address this drawback, we propose an end-to-end network, which is robust to mislabeled web images. Specifically, the proposed attention module automatically eliminates the distraction of those samples with incorrect labels by reducing their attention scores in the training process. On the other hand, the special-class activation map module is designed to stimulate the network by focusing on the significant regions from the samples with correct labels in a approach. Besides the process of feature learning, applying regularization to the classifier is considered to minimize the distance of those samples within the same class and maximize the distance between different class centroids. Quantitative and qualitative evaluations on well- and mislabeled web image datasets demonstrate that the proposed algorithm outperforms the related methods.
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Exploring self-organization and self-adaption for smart manufacturing complex networks

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 206-222 doi: 10.1007/s42524-022-0225-1

Abstract: In this context, this paper investigates the mechanisms and methodology of self-organization and self-adaptionSubsequently, analytical target cascading is used to formulate the processes of self-organizing optimalconfiguration and self-adaptive collaborative control for multilevel key manufacturing resources whilework potentially enables managers and practitioners to implement active perception, active response, self-organization, and self-adaption solutions in discrete manufacturing enterprises.

Keywords： cyber–physical systems     Industrial Internet of Things     smart manufacturing complex networks     self-organizationand self-adaption     analytical target cascading     collaborative optimization    

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NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning Research Articles

Jianke HU, Yin ZHANG,yinzh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 3,   Pages 409-421 doi: 10.1631/FITEE.2000657

Abstract: To alleviate oversmoothing, we propose a nested graph network (NGAT), which can work in a semi-supervised

Keywords： Graph learning     Semi-supervised learning     Node classification     Attention    

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Supervised topic models with weighted words: multi-label document classification None

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4,   Pages 513-523 doi: 10.1631/FITEE.1601668

Abstract: Supervised topic modeling algorithms have been successfully applied to multi-label document classificationExperimental results demonstrate that CF-weight based algorithms are competitive with the existing supervised

Keywords： Supervised topic model     Multi-label classification     Class frequency     Labeled latent Dirichlet allocation    

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Emerging trends in self-healable nanomaterials for triboelectric nanogenerators: A comprehensive review

Frontiers in Energy   Pages 727-750 doi: 10.1007/s11708-023-0896-2

Abstract: A thorough analysis of triboelectric nanogenerators (TENGs) that make use of self-healable nanomaterialsTENGs, on the other hand, provide unique opportunities for future self-powered systems and might encourageExamining the many approaches used to improve nanogenerators by employing materials with shape memory and self-healableAdditionally, the cost-effectiveness, social acceptability, and regulatory implications of self-healing

Keywords： triboelectric nanogenerator (TENG)     self-healable nanomaterials     self-powered devices     energy    

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Modular structure of a self-reconfigurable robot

FEI Yanqiong, DONG Qinglei, ZHAO Xifang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 116-119 doi: 10.1007/s11465-007-0020-z

Abstract: This paper proposes a novel, hermaphroditic, and lattice self-reconfigurable modular robot.

Keywords： compact     self-reconfigurable modular     hermaphroditic     cone-shaped     clutch    

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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 176-183 doi: 10.1007/s11465-010-0001-5

Abstract: The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensingDynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes trueby the least means square (LMS) self-adapting algorithm.

Keywords： giant magnetostrictive material (GMM) self-sensing actuator     least means square (LMS) self-adapting algorithm     design of self-adaptive circuit    

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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: application of unbonded post-tensioning (PT) in structural walls has led to the development of advanced self-centringIn this research a comprehensive state-of-the-art literature review was performed on self-centring shearAn extensive study was carried out to collect a database of 100 concrete, masonry, and self-centringwalls, ductility, and seismic response factors, were critically reviewed and analysed for different self-centringThe outcome of this research can be used to better understand the behaviour of self-centring wall system

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

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Recycled glass replacement as fine aggregate in self-compacting concrete

Yasser SHARIFI, Mahmoud HOUSHIAR, Behnam AGHEBATI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 419-428 doi: 10.1007/s11709-013-0224-8

Abstract: differences in mixture design, placement and consolidation techniques, the strength and durability of Self

Keywords： Self Compacting Concrete (SCC)     recycle glass     fine aggregate     fresh and hardened properties    

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Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete

Kunamineni VIJAY, Meena MURMU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 515-525 doi: 10.1007/s11709-018-0494-2

Abstract: This paper presents the effect on compressive strength and self-healing capability of bacterial concreteThe influence of this addition on compressive strength, self-healing capability of cracks is highlightedcalcium lactate in bio-concrete which is quite impressive for improving the compressive strength and self-healing

Keywords： calcium lactate     bacillus subtilis     compressive strength     self-healing of cracks    

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Title Author Date Type Operation

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article

Self-supervised graph learning with target-adaptive masking for session-based recommendation

Yitong WANG, Fei CAI, Zhiqiang PAN, Chengyu SONG,wangyitong20@nudt.edu.cn,caifei08@nudt.edu.cn,panzhiqiang@nudt.edu.cn,songchengyu@nudt.edu.cn

Journal Article

A self-supervised method for treatment recommendation in sepsis

Sihan Zhu, Jian Pu,jianpu@fudan.edu.cn

Journal Article

Depth estimation using an improved stereo network

Wanpeng XU, Ling ZOU, Lingda WU, Yue QI, Zhaoyong QIAN,xuwp@pcl.ac.cn,zouling@bfa.edu.cn

Journal Article

Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised

Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE

Journal Article

NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images

Luo-yang Xue, Qi-rong Mao, Xiao-hua Huang, Jie Chen,mao_qr@ujs.edu.cn

Journal Article

Exploring self-organization and self-adaption for smart manufacturing complex networks

Journal Article

NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning

Jianke HU, Yin ZHANG,yinzh@zju.edu.cn

Journal Article

Supervised topic models with weighted words: multi-label document classification

Yue-peng ZOU, Ji-hong OUYANG, Xi-ming LI

Journal Article

Emerging trends in self-healable nanomaterials for triboelectric nanogenerators: A comprehensive review

Journal Article

Modular structure of a self-reconfigurable robot

FEI Yanqiong, DONG Qinglei, ZHAO Xifang

Journal Article

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Journal Article

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

Journal Article

Recycled glass replacement as fine aggregate in self-compacting concrete

Yasser SHARIFI, Mahmoud HOUSHIAR, Behnam AGHEBATI

Journal Article

Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete

Kunamineni VIJAY, Meena MURMU

Journal Article