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A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia Article

Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Qin Ni, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Jun Liu, Kaijin Xu, Lingxiang Ruan, Jifang Sheng, Yunqing Qiu, Wei Wu, Tingbo Liang, Lanjuan Li

Engineering 2020, Volume 6, Issue 10,   Pages 1122-1129 doi: 10.1016/j.eng.2020.04.010

Abstract: This study aimed to establish an early screening model to distinguish COVID-19 pneumonia from IAVP andcandidate infection regions were segmented out from the pulmonary CT image set using a 3D deep learning modeland irrelevant to infection (ITI) groups, together with the corresponding confidence scores, using a location-attentionclassification model.

Keywords： Coronavirus disease 2019 pneumonia     COVID-19     Location-attention classification model     Computed tomography    

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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: Recently, graph neural networks (GNNs) have achieved remarkable performance in representation learning on graph-structured data. However, as the number of network layers increases, GNNs based on the neighborhood aggregation strategy deteriorate due to the problem of oversmoothing, which is the major bottleneck for applying GNNs to real-world graphs. Many efforts have been made to improve the process of feature information aggregation from directly connected nodes, i.e., breadth exploration. However, these models perform the best only in the case of three or fewer layers, and the performance drops rapidly for deep layers. To alleviate oversmoothing, we propose a nested graph network (NGAT), which can work in a semi-supervised manner. In addition to breadth exploration, a -layer NGAT uses a layer-wise aggregation strategy guided by the mechanism to selectively leverage feature information from the -order neighborhood, i.e., depth exploration. Even with a 10-layer or deeper architecture, NGAT can balance the need for preserving the locality (including root node features and the local structure) and aggregating the information from a large neighborhood. In a number of experiments on standard tasks, NGAT outperforms other novel models and achieves state-of-the-art performance.

Keywords： Graph learning     Semi-supervised learning     Node classification     Attention    

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The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 2,   Pages 233-237 doi: 10.1007/s11465-006-0003-5

Abstract: This paper presents the hybrid model identification for a class of nonlinear circuits and systems viaAfter discussing the method to establish the hybrid model and introducing the hybrid model identification, a set of relative formulas are derived for calculating the hybrid model and computing the VolterraIn order to significantly reduce the computation cost for fault location, the paper presents a new faultResults show that the method has high accuracy and efficiency for fault location of nonlinear dynamic

Keywords： block-pulse function     nonlinear     multiple     diagnosis     combination    

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Clean air captures attention whereas pollution distracts: evidence from brain activities

Frontiers of Environmental Science & Engineering 2023, Volume 18, Issue 4, doi: 10.1007/s11783-024-1801-x

Abstract:

● We find air pollution distracts attention and reveal the neurocognitive

Keywords： Air pollution     Attention     Disengagement     Performance     Event-related potential    

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Effect analysis of fire location on fire growth in large space

Shi Long,Zhang Ruifang,Xie Qiyuan,Fu Lihua

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 37-42

Abstract: quantitative evaluation in performance-based fire design, which includes the determination of fire locationTake large-scale exhibition hall for example, utilizing fire radiation model and smoke radiation modelResearch reveals: only considering fire radiation, when fire develops in a location of bilateral symmetryThereinto, fire grow fastest when fire develops in the location of center symmetry.

Keywords： fire growth     fire design in large space     fire location     fire radiation model     smoke radiation model    

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Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1621-4

Abstract:

● Used a double-stage attention mechanism model to predict ozone.

Keywords： Ozone prediction     Deep learning     Time series     Attention     Volatile organic compounds    

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Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 3,   Pages 427-441 doi: 10.1007/s11465-017-0465-7

Abstract:

The classification of visual human action is important in the development of systems that interactThis study investigates an image-based classification of the human state while using a walking supportThe visual feature for the state classification is the centroid position of the upper body, which isThe classification results are employed to control the motion of a passive-type walker (called &ldquoThe proposed method can be implemented to other abnormality detection/classification applications that

Keywords： fall detection     walking support     hidden Markov model     multivariate analysis    

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Attention-based encoder-decoder model for answer selection in question answering Article

Yuan-ping NIE, Yi HAN, Jiu-ming HUANG, Bo JIAO, Ai-ping LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4,   Pages 535-544 doi: 10.1631/FITEE.1601232

Abstract: In this paper, we introduce an attention-based deep learning model to address the answer selection taskThe proposed model employs a bidirectional long short-term memory (LSTM) encoder-decoder, which has beenOur model also uses a step attention mechanism which allows the question to focus on a certain part ofFinally, we evaluate our model using a benchmark dataset and the results show that our approach outperformsIntegrating our model significantly improves the performance of our question answering system in the

Keywords： Question answering     Answer selection     Attention     Deep learning    

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Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-orientedmulti-variable model

Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 238-248 doi: 10.1631/FITEE.1400083

Abstract: Its capability for comprehensive landscape classification, especially in urban areas, has been underand heterogeneity across urban environments, we attempt to test its performance of urban landscape classificationby combining a multivariable model with an object-oriented approach.selected using forward stepwise linear discriminant analysis and applied in the following object-oriented classificationResults indicated an overall classification accuracy of 92.63% and a kappa statistic of 0.9124.

Keywords： ZY-1 02C satellite     Classification     Urban     Multi-variable model    

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Classification Model and Its Application of Stability of Roadway Driving Along Next Goaf for Fully-mechanized

Zhu Chuanqu,Wang Weijun,Shi Shiliang

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 35-38

Abstract: roadway driving along next goaf for fully-mechanized caving face are structured and the grey-fuzzy classificationmodel is established.The application of examples shows that the model is accurate and reliable, and plays an important part

Keywords： roadway driving along next goaf for fully-mechanized caving face     stability of surrounding rock     classificationmodel     subordination function    

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On the potential of iPhone significant location data to characterize individual mobility for air pollution

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 5, doi: 10.1007/s11783-022-1542-7

Abstract:

● We evaluated the accuracy of iPhone data in capturing time-activity patterns.

Keywords： Air pollution exposure     Human mobility     iPhone     Significant Location     Smartphone data    

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Space-time evolution rules study on acoustic emission location in rock under cyclic loading

Jiang XU, Shuchun LI, Yunqi TAO, Yongdong JIANG, Xiaojun TANG,

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 4,   Pages 422-427 doi: 10.1007/s11709-009-0056-8

Abstract: An acoustic emission (AE) location experiment was performed on sandstone using an advanced AE test system, and the location points changed slowly.There was a modest increase of location points in every cycle.The tendency of steady development could be predicted from the AE location events.Location events changed quite rapidly and assembled and linked continuously in the core zone.

Keywords： location result     AE location     consistent     friction     elastic-plastic deformation    

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Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: A location system is very important for solder paste printing in the process of surface mount technologyUsing machine vision technology to complete the location mission is new and very efficient.This paper presents an integrated visual location system for solder paste printing based on machine visionprinciple of solder paste printing is introduced and then the design and implementation of the visual locationOne is accurate image location solved by the pattern-based location algorithms of PatMax.

Keywords： machine vision     visual location     solder paste printing     VisionPro    

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Network-based optimization techniques for wind farm location decisions

Jorge Ignacio CISNEROS-SALDANA, Seyedmohammadhossein HOSSEINIAN, Sergiy BUTENKO

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 533-540 doi: 10.15302/J-FEM-2018025

Abstract:

This study aims to find appropriate locations for wind farms that can maximize the overall energy output while controlling the effects of wind speed variability. High wind speeds are required to obtain the maximum possible power output of a wind farm. However, balancing the wind energy supplies over time by selecting diverse locations is necessary. These issues are addressed using network-based models. Hence, actual wind speed data are utilized to demonstrate the advantages of the proposed approach.

Keywords： wind energy     wind farm location     network analysis     optimization     clique     s-plex    

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Less attention paid to waterborne SARS-CoV-2 spreading in Beijing urban communities

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-021-1398-2

Abstract:

• A survey on individual’s perception of SARS-CoV-2 transmission was conducted.

Keywords： Environmental dissemination     Risk communication     Individual perception    

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Title Author Date Type Operation

A Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia

Xiaowei Xu, Xiangao Jiang, Chunlian Ma, Peng Du, Xukun Li, Shuangzhi Lv, Liang Yu, Qin Ni, Yanfei Chen, Junwei Su, Guanjing Lang, Yongtao Li, Hong Zhao, Jun Liu, Kaijin Xu, Lingxiang Ruan, Jifang Sheng, Yunqing Qiu, Wei Wu, Tingbo Liang, Lanjuan Li

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

The study of hybrid model identification, computation analysis and fault location for nonlinear dynamic

XIE Hong, HE Yi-gang, ZENG Guan-da

Journal Article

Clean air captures attention whereas pollution distracts: evidence from brain activities

Journal Article

Effect analysis of fire location on fire growth in large space

Shi Long,Zhang Ruifang,Xie Qiyuan,Fu Lihua

Journal Article

Prediction and cause investigation of ozone based on a double-stage attention mechanism recurrent neural

Journal Article

Image-based fall detection and classification of a user with a walking support system

Sajjad TAGHVAEI, Kazuhiro KOSUGE

Journal Article

Attention-based encoder-decoder model for answer selection in question answering

Yuan-ping NIE, Yi HAN, Jiu-ming HUANG, Bo JIAO, Ai-ping LI

Journal Article

Urban landscape classification using Chinese advanced high-resolution satellite imagery and an object-orientedmulti-variable model

Li-gang MA,Jin-song DENG,Huai YANG,Yang HONG,Ke WANG

Journal Article

Classification Model and Its Application of Stability of Roadway Driving Along Next Goaf for Fully-mechanized

Zhu Chuanqu,Wang Weijun,Shi Shiliang

Journal Article

On the potential of iPhone significant location data to characterize individual mobility for air pollution

Journal Article

Space-time evolution rules study on acoustic emission location in rock under cyclic loading

Jiang XU, Shuchun LI, Yunqi TAO, Yongdong JIANG, Xiaojun TANG,

Journal Article

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Journal Article

Network-based optimization techniques for wind farm location decisions

Jorge Ignacio CISNEROS-SALDANA, Seyedmohammadhossein HOSSEINIAN, Sergiy BUTENKO

Journal Article

Less attention paid to waterborne SARS-CoV-2 spreading in Beijing urban communities

Journal Article