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A graph-based two-stage classification network for mobile screen defect inspection Research Article

Chaofan ZHOU, Meiqin LIU, Senlin ZHANG, Ping WEI, Badong CHEN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 203-216 doi: 10.1631/FITEE.2200524

Abstract: Defect inspection, also known as defect detection, is significant in mobile screen quality control.There are some challenging issues brought by the characteristics of screen defects, including the followingintraclass variation, (2) the difficulty in distinguishing low contrast, tiny-sized, or incomplete defectsExperiments on the mobile screen defect dataset show that our two-stage network achieves the following

Keywords： Graph-based methods     Multi-label classification     Mobile screen defects     Neural networks    

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A potentiometric cobalt-based phosphate sensor based on screen-printing technology

Lei ZHU,Xiaohong ZHOU,Hanchang SHI

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 6,   Pages 945-951 doi: 10.1007/s11783-013-0615-z

Abstract: A potentiometric cobalt-based screen-printing sensor was fabricated by electroplating cobalt on the surfaceof a screen-printing electrode as the sensitive layer for the determination of dihydrogenphosphate (

Keywords： phosphate     cobalt     screen-printing technology     electroplate     wastewater    

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Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 226-232 doi: 10.1007/s11709-008-0027-5

Abstract: The ultrasonic tomographic technology is applied to diagnose the defects in hydraulic concrete structureHowever, the image resolution of multiple defects is not satisfactory.Defects with the orientation perpendicular to the direction of the diagnosis may have higher precision

Keywords： satisfactory     processing     orientation     tomographic diagnosis     orientation perpendicular    

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An investigation on patient dose in screen-film diagnostic radiology in Lhasa City, Xizang Autonomous

Xiang Du

Frontiers of Medicine 2013, Volume 7, Issue 4,   Pages 506-509 doi: 10.1007/s11684-013-0294-y

Abstract:

This study aimed to investigate patient dose in diagnostic screen-film radiographic examinations inThe entrance surface air Kerma (ESAK) of seven conventional screen-film radiology X-ray equipment in

Keywords： radiation dosage     radiology     radiation protection     radiography/statistics & numerical data    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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“Charging” the cigarette butt: heteroatomic porous carbon nanosheets with edge-induced topological defects

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 11,   Pages 1755-1764 doi: 10.1007/s11705-023-2318-8

Abstract: reaction by facilitating the adsorption of oxygenated intermediates by the edge-induced topological defects

Keywords： oxygen evolution reaction     porous carbon nanosheets     Co nanoparticles     edge-induced topological defects    

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Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Frontiers in Energy 2018, Volume 12, Issue 1,   Pages 143-157 doi: 10.1007/s11708-018-0520-z

Abstract: size and defect levels of metals, the thermal reffusivity can also uncover phonon behavior, structure defects

Keywords： thermal reffusivity theory     phonon behavior     structure defects     structural thermal domain (STD) size     2D    

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Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 1,   Pages 48-52 doi: 10.1007/s11465-018-0493-y

Abstract: near-net shape casting aluminum parts were investigated by computed tomography to determine casting defects(second part), low-pressure die casting (first part) significantly reduced the formation of casting defectsNo significant casting defect was observed in the third part, and this absence of defects indicates thatMoreover, casting defects were mostly distributed along the eutectic grain boundaries.This investigation demonstrated that computed tomography is an efficient method to determine casting defects

Keywords： near-net shape casting     aluminum parts     casting defects     low pressure die casting     die casting     semi-solid    

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Research and practice on system engineering management of a mobile payment project

Yongkai ZHOU, Hongfeng CHAI

Frontiers of Engineering Management 2017, Volume 4, Issue 2,   Pages 127-137 doi: 10.15302/J-FEM-2017011

Abstract: The popularization of the mobile internet has given rise to demand for flexible and convenient paymentit is necessary to keep pace with or even lead the trend of innovation and development in the age of mobileperspective of systems engineering, this paper introduces research and implementation of China UnionPay’s mobileThe general requirements and core engineering problems of the mobile payment project are summarized basedThe launch of the mobile payment project also opens the window to coordinating and upgrading the whole

Keywords： systems engineering     mobile payment     engineering management method     Mobile QuickPass     national information    

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Detection of solder bump defects on a flip chip using vibration analysis

Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1,   Pages 29-37 doi: 10.1007/s11465-012-0314-7

Abstract: Solder bump defects on flip chips are difficult to detect, because the solder bumps are obscured by the

Keywords： flip chip     defect detection     ultrasonic excitation     vibration analysis    

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Motion control of multi-actuator hydraulic systems for mobile machineries: Recent advancements and future

Bing XU, Min CHENG

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 151-166 doi: 10.1007/s11465-018-0470-5

Abstract: upcoming trends in motion control technologies employed in designing multi-actuator hydraulic systems for mobileHydraulic systems have been extensively used in mobile machineries due to their superior power densityThen, the advanced operation methods of multi-actuator mobile machineries are reviewed, including coordinated

Keywords： motion control     electrohydraulic control     energy efficiency     mobile machineries    

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Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 2, doi: 10.1007/s11783-019-1102-y

Abstract:

An image-recognition-based diagnosis system of pipe defect types was established.

1043 practical pipe images were gathered by CCTV robot in a southern Chinese city.

The overall accuracy of the system is 84% and the highest accuracy is 99.3%.

The accuracy shows positive correlation to the number of training samples.

Keywords： Sewer pipe defects     Defect diagnosing     Image recognition     Multi-features extraction     Support vector machine    

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Tuning nitrogen defects and doping sulfur in carbon nitride for enhanced visible light photocatalytic

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 1,   Pages 93-101 doi: 10.1007/s11705-022-2175-x

Abstract: In this work, N defects were successfully prepared via cold plasma.High-energy electrons generated by plasma can produce N defects and embed sulfur atoms into g-C3The concentration of N defects can be tuned by different power and time of plasma.With the increase in N defects, the photocatalytic activity showed a volcanic trend.It provided extra active sites for photocatalytic reaction and improved stability of N defects.

Keywords： g-C3N4     nitrogen defect     sulfur doping     photodegradation     plasma    

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Loss of liver kinase B1 causes planar polarity defects in cochlear hair cells in mice

Yuqin Men,Aizhen Zhang,Liwen Zhang,Yecheng Jin,Zhishuo Wang,Jing Zhao,Xiaolin Yu,Jian Zhang,Jiangang Gao

Frontiers of Medicine 2016, Volume 10, Issue 4,   Pages 481-489 doi: 10.1007/s11684-016-0494-3

Abstract:

The tumor suppressor gene liver kinase B1 (LKB1), also called STK11, encodes a serine/threonine kinase. LKB1 plays crucial roles in cell differentiation, proliferation, and polarity. In this study, LKB1 conditional knockout mice (LKB1Pax2 CKO mice) were generated using Pax2-Cre mice to investigate the function of LKB1 in inner ear hair cells during early embryonic period. LKB1Pax2 CKO mice died perinatally. Immunofluorescence and scanning electron microscopy revealed that stereociliary bundles in LKB1Pax2 CKO mice were clustered and misoriented, respectively. Moreover, ectopic distribution of kinocilium bundles resulting from abnormal migration of kinocilium was observed in the mutant mice. The orientation of stereociliary bundles and the migration of kinocilia are critical indicators of planar cell polarity (PCP) of hair cells. LKB1 deficiency in LKB1Pax2 CKO mice thus disrupted hair cell planar polarity during embryonic development. Our results suggest that LKB1 is required in PCP formation in cochlear hair cells in mice.

Keywords： LKB1     stereociliary bundles     kinocilium     planar cell polarity     hearing     mice    

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A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

Prases K. MOHANTY,Dayal R. PARHI

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 317-330 doi: 10.1007/s11465-014-0304-z

Abstract:

Planning of the shortest/optimal route is essential for efficient operation of autonomous mobile robotIWO), a new meta-heuristic algorithm, has been implemented for solving the path planning problem of mobile

Keywords： mobile robot     obstacle avoidance     Invasive Weed Optimization     navigation    

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Title Author Date Type Operation

A graph-based two-stage classification network for mobile screen defect inspection

Chaofan ZHOU, Meiqin LIU, Senlin ZHANG, Ping WEI, Badong CHEN

Journal Article

A potentiometric cobalt-based phosphate sensor based on screen-printing technology

Lei ZHU,Xiaohong ZHOU,Hanchang SHI

Journal Article

Tomographic diagnosis of defects in hydraulic concrete structure

ZHAO Mingjie, XU Xibin

Journal Article

An investigation on patient dose in screen-film diagnostic radiology in Lhasa City, Xizang Autonomous

Xiang Du

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

“Charging” the cigarette butt: heteroatomic porous carbon nanosheets with edge-induced topological defects

Journal Article

Thermal reffusivity: uncovering phonon behavior, structural defects, and domain size

Yangsu XIE, Bowen ZHU, Jing LIU, Zaoli XU, Xinwei WANG

Journal Article

Determining casting defects in near-net shape casting aluminum parts by computed tomography

Jiehua LI, Bernd OBERDORFER, Daniel HABE, Peter SCHUMACHER

Journal Article

Research and practice on system engineering management of a mobile payment project

Yongkai ZHOU, Hongfeng CHAI

Journal Article

Detection of solder bump defects on a flip chip using vibration analysis

Junchao LIU, Tielin SHI, Qi XIA, Guanglan LIAO

Journal Article

Motion control of multi-actuator hydraulic systems for mobile machineries: Recent advancements and future

Bing XU, Min CHENG

Journal Article

Diagnosis of sewer pipe defects on image recognition of multi-features and support vector machine in

Xiangyang Ye, Jian’e Zuo, Ruohan Li, Yajiao Wang, Lili Gan, Zhonghan Yu, Xiaoqing Hu

Journal Article

Tuning nitrogen defects and doping sulfur in carbon nitride for enhanced visible light photocatalytic

Journal Article

Loss of liver kinase B1 causes planar polarity defects in cochlear hair cells in mice

Yuqin Men,Aizhen Zhang,Liwen Zhang,Yecheng Jin,Zhishuo Wang,Jing Zhao,Xiaolin Yu,Jian Zhang,Jiangang Gao

Journal Article

A new efficient optimal path planner for mobile robot based on Invasive Weed Optimization algorithm

Prases K. MOHANTY,Dayal R. PARHI

Journal Article