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Adaptive compression method for underwater images based on perceived quality estimation Regular Papers

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 5,   Pages 716-730 doi: 10.1631/FITEE.1700737

Abstract:

Underwater image compression is an important and essential part of an underwater image transmission system. An assessment and prediction method of effectively compressed image quality can assist the system in adjusting its compression ratio during the image compression process, thereby improving the efficiency of the image transmission system. This study first estimates the perceived quality of underwater image compression based on embedded coding compression and compressive sensing, then builds a model based on the mapping between image activity measurement (IAM) and bits per pixel and structural similarity (BPP-SSIM) curves, next obtains model parameters by linear fitting, and finally predicts the perceived quality of the image compression method based on IAM, compression ratio, and compression strategy. Experimental results show that the model can effectively fit the quality curve of underwater image compression. According to the rules of parameters in this model, the perceived quality of underwater compressed images can be estimated within a small error range. The presented method can effectively estimate the perceived quality of underwater compressed images, balance the relationship between the compression ratio and compression quality, reduce the pressure on the data cache, and thus improve the efficiency of the underwater image communication system.

Keywords： Underwater image compression     Set partitioning in hierarchical trees     Compressive sensing     Compression quality    

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Optimization of thread partitioning parameters in speculative multithreading based on artificial immune

Yu-xiang LI,Yin-liang ZHAO,Bin LIU,Shuo JI

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 205-216 doi: 10.1631/FITEE.1400172

Abstract: Their ranges are determined in accordance with heuristic rules, and their step-sizes are set empirically

Keywords： Speculative multithreading     Thread partitioning     Artificial immune algorithm    

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Partitioning of heavy metals during municipal solid waste incineration on a laboratory fluid bed furnace

LI Jianxin, YAN Jianhua, CHI Yong

Frontiers in Energy 2007, Volume 1, Issue 3,   Pages 359-364 doi: 10.1007/s11708-007-0054-2

Abstract: The effects of temperature, chlorine and water on the partitioning of heavy metals are studied using

Keywords： partitioning     municipal     volatility     significant influence     temperature    

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Particulate matter and metals partitioning in highway rainfall-runoff

Gaoxiang YING, John J. SANSALONE,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1,   Pages 35-46 doi: 10.1007/s11783-010-0009-4

Abstract: Partitioning in retained runoff resulted in a particulate-bound €predominance €for €most

Keywords： stormwater     particulate matter (PM)     turbidity     suspended sediment concentration (SSC)     unit operations     metals     dry deposition     acid rain    

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Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1267-1286 doi: 10.1007/s11709-022-0842-0

Abstract: Shear failure of slender reinforced concrete beams without stirrups has surely been a complicated occurrence that has proven challenging to adequately understand. The primary purpose of this work is to develop machine learning models capable of reliably predicting the shear strength of non-shear-reinforced slender beams (SB). A database encompassing 1118 experimental findings from the relevant literature was compiled, containing eight distinct factors. Gradient Boosting (GB) technique was developed and evaluated in combination with three different optimization algorithms, namely Particle Swarm Optimization (PSO), Random Annealing Optimization (RA), and Simulated Annealing Optimization (SA). The findings suggested that GB-SA could deliver strong prediction results and effectively generalizes the connection between the input and output variables. Shap values and two-dimensional PDP analysis were then carried out. Engineers may use the findings in this work to define beam's geometrical components and material used to achieve the desired shear strength of SB without reinforcement.

Keywords： slender beam     shear strength     gradient boosting     optimization algorithms    

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Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 390-405 doi: 10.1007/s11465-020-0588-0

Abstract: The level set method (LSM), which is transplanted from the computer graphics field, has been successfullyIn this study, a level set band method is proposed to overcome this drawback in handling topology changesin the level set framework.the continuity of objective and constraint functions by incorporating one parameter, namely, level setThe proposed method demonstrates a flexible topology change by applying a certain size of the level set

Keywords： level set method     topology optimization     density-based method     level set band    

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A case for assessing

Ian T. RILEY

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 4,   Pages 568-582 doi: 10.15302/J-FASE-2019270

Abstract: Actinorhizal trees and shrubs in the Casurinaceae have a unique set of adaptations for heat and water

Keywords： actinorrhizal trees     agroforestry     climate change     ecosystem restoration    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: decision-tree-structured neural network, that is, the deep convolutional tree-inspired network (DCTN), for the hierarchicalnetwork (CNN) and decision tree methods by rebuilding the output decision layer of CNN according to the hierarchicalThe proposed DCTN model has unique advantages in 1) the hierarchical structure that can support moreaccuracy and comprehensive fault diagnosis, 2) the better interpretability of the model output with hierarchical

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Maximum independent set in planning freight railway transportation

Gainanov Damir N., Mladenovic NENAD, Rasskazova V. A.

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 499-506 doi: 10.15302/J-FEM-2018031

Abstract: We define a special conflict graph on the basis of a set of acceptable train routes.aims to solve the classical combinatorial optimization problem in relation to the maximum independent setthese constructions, the lower and upper bounds for the number of vertices in the maximum independent set

Keywords： independent set     algorithm     planning of transportation     two-sided estimate    

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Operating mechanism and set pair analysis model of a sustainable water resources system

Chaoyang DU,Jingjie YU,Huaping ZHONG,Dandan WANG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 2,   Pages 288-297 doi: 10.1007/s11783-014-0642-4

Abstract: The study introduces a new approach, set pair analysis theory, to measure the state of a SWRS, and anAn evaluation model of the SWRS based on set pair analysis theory is constructed, and an example of SWRS

Keywords： sustainable water resources system     operating mechanism     set pair analysis model     Shanghai    

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Combined reticular blind drainage and vertical hierarchical drainage system for landfills located in

Wenjing LU,Zhonge FU,Yan ZHAO

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 177-184 doi: 10.1007/s11783-014-0710-9

Abstract: water control technology that combines the features of a reticular blind drainage system and a vertical hierarchicalThe vertical hierarchical drainage system was installed to separate rainfall water and leachate in theleachate derived from rainfall water and groundwater inflow was avoided upon installation of the vertical hierarchical

Keywords： landfill     reticular blind drain     vertical hierarchical drain     guidance and drainage     impermeable layer    

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Comparison of evapotranspiration and energy partitioning related to main biotic and abiotic controllers

Lei GAO, Peng ZHAO, Shaozhong KANG, Sien LI, Ling TONG, Risheng DING, Hongna LU

Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 4,   Pages 490-504 doi: 10.15302/J-FASE-2019310

Abstract:

Knowledge of evapotranspiration (ET) and energy partitioning is useful for optimizing water managementdrip-irrigated vineyard (2017) in an arid region of north-west China to compare vineyard ET and energy partitioningThe seasonal average partitioning of net radiation (Rn) into the latent heat flux (LE), sensible heatResponses of ET and energy partitioning to the LAI and SWC differed under the two irrigation methods.From the perspective of energy partitioning, seasonal average H/Rn increased whereas LE/Rn, especially

Keywords： crop coefficient     eddy covariance     microlysimeter     sap flow     soil evaporation     transpiration    

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XFEM schemes for level set based structural optimization

Li LI, Michael Yu WANG, Peng WEI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 335-356 doi: 10.1007/s11465-012-0351-2

Abstract:

In this paper, some elegant extended finite element method (XFEM) schemes for level set method structuralproposed XFEM is a promising structural analysis approach for structural optimization with the level set

Keywords： structural optimization     level set method     extended finite element method (XFEM)     computational accuracy    

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Level set-based isogeometric topology optimization for maximizing fundamental eigenfrequency

Manman XU, Shuting WANG, Xianda XIE

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 222-234 doi: 10.1007/s11465-019-0534-1

Abstract: In this study, we develop an isogeometric analysis (IGA)-based level set model for the formulation andThe proposed method is based on a combination of level set method and IGA technique, which uses the non-uniformgeometry representation, but also for IGA-based dynamic analysis and parameterization of the level setsurface, that is, the level set function.

Keywords： topology optimization     level set method     isogeometric analysis     eigenfrequency    

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Two-phase Partitioning Bioreactor, Application of Cloud Point System in Bioconversion

Wang Zhilong

Strategic Study of CAE 2005, Volume 7, Issue 5,   Pages 73-78

Abstract:

The two-phase partitioning bioreactor is usually applied in many bioprocesses for enhancing the productivityThis article examines recent research on methods of the two-phase partitioning bioreactor.The practical potential of cloud point system as a novel two-phase partitioning bioreactor is illustrated

Keywords： two-phase partitioning     bioconversion     nonionic surfactant     cloud point system     bioreactor    

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Title Author Date Type Operation

Adaptive compression method for underwater images based on perceived quality estimation

Ya-qiong CAI, Hai-xia ZOU, Fei YUAN

Journal Article

Optimization of thread partitioning parameters in speculative multithreading based on artificial immune

Yu-xiang LI,Yin-liang ZHAO,Bin LIU,Shuo JI

Journal Article

Partitioning of heavy metals during municipal solid waste incineration on a laboratory fluid bed furnace

LI Jianxin, YAN Jianhua, CHI Yong

Journal Article

Particulate matter and metals partitioning in highway rainfall-runoff

Gaoxiang YING, John J. SANSALONE,

Journal Article

Predicting shear strength of slender beams without reinforcement using hybrid gradient boosting trees

Thuy-Anh NGUYEN; Hai-Bang LY; Van Quan TRAN

Journal Article

Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Journal Article

A case for assessing

Ian T. RILEY

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Maximum independent set in planning freight railway transportation

Gainanov Damir N., Mladenovic NENAD, Rasskazova V. A.

Journal Article

Operating mechanism and set pair analysis model of a sustainable water resources system

Chaoyang DU,Jingjie YU,Huaping ZHONG,Dandan WANG

Journal Article

Combined reticular blind drainage and vertical hierarchical drainage system for landfills located in

Wenjing LU,Zhonge FU,Yan ZHAO

Journal Article

Comparison of evapotranspiration and energy partitioning related to main biotic and abiotic controllers

Lei GAO, Peng ZHAO, Shaozhong KANG, Sien LI, Ling TONG, Risheng DING, Hongna LU

Journal Article

XFEM schemes for level set based structural optimization

Li LI, Michael Yu WANG, Peng WEI

Journal Article

Level set-based isogeometric topology optimization for maximizing fundamental eigenfrequency

Manman XU, Shuting WANG, Xianda XIE

Journal Article

Two-phase Partitioning Bioreactor, Application of Cloud Point System in Bioconversion

Wang Zhilong

Journal Article