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High-payload completely reversible data hiding in encrypted images by an interpolation technique Article

Di XIAO, Ying WANG, Tao XIANG, Sen BAI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 11,   Pages 1732-1743 doi: 10.1631/FITEE.1601067

Abstract: Instead of embedding data in the encrypted image directly, the content owner first uses an interpolationhider embeds the additional data through flipping the most significant bits (MSBs) of the encrypted imageAt the receiver side, before extracting the additional data and reconstructing the image, the receiverdecrypts the image first.recovery are free of error.

Keywords： Encrypted image     Data hiding     Image recovery     Real reversibility     Interpolation    

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Turbidity-adaptive underwater image enhancement method using image fusion

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-021-0669-8

Abstract: In this paper, we propose a turbidity-adaptive underwater image enhancement method.Based on the detection result, different image enhancement strategies are designed to deal with the problemThe proposed method is verified by an underwater image dataset captured in real underwater environmentThe result is evaluated by image metrics including structure similarity index measure, underwater colorimage quality evaluation metric, and speeded-up robust features.

Keywords： turbidity     underwater image enhancement     image fusion     underwater robots     visibility    

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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: We present a novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE)In the fusion phase, the image gradient is calculated to reflect the abundance of its contour informationBy compositing the gradient of each image, gradient-based weights are obtained, with which compressiveFinally, inverse transformation is applied to the coefficients derived from fusion, and the fused imageIn addition, different image fusion application scenarios are applied to explore the scenario adaptability

Keywords： Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paper, where the shrinkage of a steel plate is measured when temperature drops. First, images are picked up by an imaging system; a method of regional edge detection based on grayscales’ sudden change is then applied to detect the edges of the steel plate; finally, pixel coordinates of the edge position are transformed to physical coordinates through calibration parameters. The experiment shows that the real-time, high precision, and non-contact measurement of the steel plate’s edge position under high temperature can be realized using the imaging measurement method established in this paper.

Keywords： thermal expansion     image measurement     edge detection     image calibration    

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Improved resilience measure for component recovery priority in power grids

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 545-556 doi: 10.1007/s42524-021-0161-5

Abstract: Consequently, the quick recovery of power grids after disasters has become a new research direction.The recovery priority of failed components after a disaster is determined according to the influenceResult shows that the recovery priorities of components with different importance measures vary.

Keywords： resilience measure     power grid     importance measure     component recovery    

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Technologies for pollutant removal and resource recovery from blackwater: a review

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1683-3

Abstract:

● Blackwater is the main source of organics and nutrients in domestic wastewater.

Keywords： Blackwater     Water-flushing toilet     Sanitation     Nutrient recovery     Water reuse     Sustainable development    

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Dissolved methane in anaerobic effluent: Emission or recovery?

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 4, doi: 10.1007/s11783-022-1537-4

Abstract: Although several dissolved methane recovery methods have been developed, their engineering feasibilityperspective, we thus intend to offer additional insights into the cost-benefit of dissolved methane recovery

Keywords： Anaerobic treatment     Municipal wastewater     Dissolved methane     Methane recovery     Carbon emission    

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China Launched the First Wastewater Resource Recovery Factory in Yixing

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 1, doi: 10.1007/s11783-021-1496-1

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Highly selective and green recovery of lithium ions from lithium iron phosphate powders with ozone

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 749-758 doi: 10.1007/s11705-022-2261-0

Abstract: contain high-value metals other than lithium, it is therefore necessary to strike a balance between recoveryHere, we describe a selective recovery process that can achieve economically efficient recovery and anAdjusting the acid concentration and amount of oxidant enables selective recovery of lithium ions.

Keywords： lithium iron phosphate powder     stoichiometric number     selective leaching     lithium recovery    

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“NEW” resource recovery from wastewater using bioelectrochemical systems: Moving forward with functions

Akshay Jain, Zhen He

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 4, doi: 10.1007/s11783-018-1052-9

Abstract:

Resource recovery from wastewater is a key function of bioelectrochemical

Keywords： Bioelectrochemical systems     Resource recovery     Wastewater treatment     Energy     Nutrients    

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Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 10,   Pages 829-837 doi: 10.1631/FITEE.1500045

Abstract: Geometric changes present a number of difficulties in deformable image registration.developed an innovative model which significantly reduces the side effects of geometric changes in imageWe show that the transformation estimated from our model is able to reconstruct the target image with

Keywords： Geometric changes     Image registration     Sparsity     Traumatic brain injury (TBI)    

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Sustainability of metal recovery from E-waste

Biswajit Debnath, Ranjana Chowdhury, Sadhan Kumar Ghosh

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 6, doi: 10.1007/s11783-018-1044-9

Abstract:

Metal recovery techniques from electronic waste reported in literature

Metal recovery processes followed in Industries

Sustainability analysis of metal recovery processes

Keywords： E-waste     Metal recovery     Metal Recovery from E-waste (MREW)     Sustainability    

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A building unit decomposition model for energy leakage by infrared thermography image analysis

Yan SU, Fangjun HONG, Lianjie SHU

Frontiers in Energy 2020, Volume 14, Issue 4,   Pages 901-921 doi: 10.1007/s11708-020-0679-y

Abstract: A quantitative energy leakage model was developed based on the thermography image data measured for both

Keywords： heat conductivity     heat coefficient     heat &fllig     ux     infrared thermography     thermal image    

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Creep and recovery behaviors of magnetorheological elastomers

Weihua LI, Yang ZHOU, Tongfei TIAN, Gursel ALICI,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 3,   Pages 341-346 doi: 10.1007/s11465-010-0096-8

Abstract: This paper presents experimental and modeling study of creep and recovery behaviors of magneto-rheological

Keywords： magneto-rheological elastomers (MREs)     creep     recovery     linear viscoelastic model    

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1,   Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: The digital image correlation (DIC) technology was utilized to collect vibration information of an actual

Keywords： structural state detection     deep learning     digital image correlation     vibration signal     steel frame    

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Title Author Date Type Operation

High-payload completely reversible data hiding in encrypted images by an interpolation technique

Di XIAO, Ying WANG, Tao XIANG, Sen BAI

Journal Article

Turbidity-adaptive underwater image enhancement method using image fusion

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Journal Article

Improved resilience measure for component recovery priority in power grids

Journal Article

Technologies for pollutant removal and resource recovery from blackwater: a review

Journal Article

Dissolved methane in anaerobic effluent: Emission or recovery?

Journal Article

China Launched the First Wastewater Resource Recovery Factory in Yixing

Journal Article

Highly selective and green recovery of lithium ions from lithium iron phosphate powders with ozone

Journal Article

“NEW” resource recovery from wastewater using bioelectrochemical systems: Moving forward with functions

Akshay Jain, Zhen He

Journal Article

Deformable image registration with geometric changes

Yu LIU,Bo ZHU

Journal Article

Sustainability of metal recovery from E-waste

Biswajit Debnath, Ranjana Chowdhury, Sadhan Kumar Ghosh

Journal Article

A building unit decomposition model for energy leakage by infrared thermography image analysis

Yan SU, Fangjun HONG, Lianjie SHU

Journal Article

Creep and recovery behaviors of magnetorheological elastomers

Weihua LI, Yang ZHOU, Tongfei TIAN, Gursel ALICI,

Journal Article

Digital image correlation-based structural state detection through deep learning

Journal Article