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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: A locally weighted learning method is also proposed to utilize the processed feature set to produce the

Keywords： forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal component analysis (PCA)     locallyweighted learning model    

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Quality-related locally weighted soft sensing for non-stationary processes by a supervised Bayesian network Research Articles

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 9,   Pages 1234-1246 doi: 10.1631/FITEE.2000426

Abstract: In this study, a novel quality-related locally weighted soft sensing method is designed for non-stationary

Keywords： 软测量；有监督贝叶斯网络；隐变量；局部加权建模；质量预测    

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Pyogenic liver abscess as initial presentation in locally advanced right colon cancer invading the liver

Kai Qu, Chang Liu, Aasef M A Mansoor, Bo Wang, Jincai Chen, Liang Yu, Yi Lv

Frontiers of Medicine 2011, Volume 5, Issue 4,   Pages 434-437 doi: 10.1007/s11684-011-0157-3

Abstract: Locally advanced colorectal cancer complicated with adjacent organic invasion may remain confined toHowever, the clinical manifestation of locally advanced colon cancer was extremely complicated.

Keywords： liver abscess     locally advanced colon cancer     multiorganic invasion    

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evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Frontiers of Medicine 2014, Volume 8, Issue 4,   Pages 471-476 doi: 10.1007/s11684-014-0365-8

Abstract:

This work aims to estimate the value of diffusion weighted imaging (DWI) and diffusion tensor imaging

Keywords： type 2 diabetes mellitus     microalbuminuria     diffusion weighted imaging     diffusion tensor imaging     early-stage    

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View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 11,   Pages 917-920 doi: 10.1631/FITEE.1500080

Abstract: problem of lacking data adaptiveness in the nearest neighborhood graph construction procedure, a robust locally

Keywords： View-invariant     Action recognition     Multi-view learning     L1-norm     Local learning    

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Pharmaceutical compounds in aquatic environment in China: locally screening and environmental risk assessment

Yongshan CHEN,Xiuping XI,Gang YU,Qiming CAO,Bin WANG,François VINCE,Youwei HONG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 394-401 doi: 10.1007/s11783-014-0653-1

Abstract: An environmental risk assessment was performed for pharmaceutical compounds present in the aquatic environment of China. Predicted environmental concentration ( ) of the compounds were calculated according to European Medicines Evaluation Agency (EMEA) guidelines. Available ecotoxicological data compromised by applying a very conservative assessment factor ( ) were employed to calculate the predicted no-effect concentration ( ). The screening principle and the risk assessment were based on risk quotient ( ), which derived from the and related values. results indicated that all the compounds except sulfadimethoxine and levocarnitine, should carry out phase II risk assessment in EMEA guideline. values suggested that more than 36 pharmaceuticals may be imposed health threats to the aquatic environment; especially the antibiotic therapeutic class including amoxicillin, sulfasalazine, trimethoprim, oxytetracycline and erythromycin showed high values. These substances with high value ( ≥1) were regarded as top-priority pharmaceuticals for control in the aquatic environment of China. However, the antibiotic substances which had low risk quotient ( <1), should be reassessed by its potentially induced resistance under low concentration in future.

Keywords： pharmaceuticals     aquatic environment     risk assessment     aquatic toxicity     risk quotient    

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radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted

Jie JI, Junrui DUAN, Huaxian WAN

Frontiers in Energy 2022, Volume 16, Issue 6,   Pages 1017-1026 doi: 10.1007/s11708-020-0716-x

Abstract: The interaction of multiple fires may lead to a higher flame height and more intense radiation flux than a single fire, which increases the possibility of flame spread and risks to the surroundings. Experiments were conducted using three burners with identical heat release rates (HRRs) and propane as the fuel at various spacings. The results show that flames change from non-merging to merging as the spacing decreases, which result in a complex evolution of flame height and merging point height. To facilitate the analysis, a novel merging criterion based on the dimensionless spacing / was proposed. For non-merging flames ( / >0.368), the flame height is almost identical to a single fire; for merging flames ( / ≤0.368), based on the relationship between thermal buoyancy and thrust (the pressure difference between the inside and outside of the flame), a quantitative analysis of the flame height, merging point height, and air entrainment was formed, and the calculated merging flame heights show a good agreement with the measured experimental values. Moreover, the multi-point source model was further improved, and radiation fraction of propane was calculated. The data obtained in this study would play an important role in calculating the external radiation of propane fire.

Keywords： flame interaction     air entrainment     flame height     multi-point source model     thermal radiation    

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Label fusion for segmentation via patch based on local weighted voting Article

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 680-688 doi: 10.1631/FITEE.1500457

Abstract: In this paper we propose a novel patch-based segmentation method combining a local weighted voting strategyWe first adopt intensity prior and label prior as two key metrics when implementing the local weightedwe compare the results with those of other methods, including joint fusion, majority voting, local weighted

Keywords： Label fusion     Local weighted voting     Patch-based     Background analysis    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: proposes the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving entities    

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Locally enhanced electric field treatment (LEEFT) for water disinfection

Jianfeng Zhou, Ting Wang, Cecilia Yu, Xing Xie

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 5, doi: 10.1007/s11783-020-1253-x

Abstract: Here, a nanowire-enabled disinfection method, locally enhanced electric field treatment (LEEFT), is introduced

Keywords： Water treatment     Nanotechnology     Pathogen inactivation     Electroporation     Nanowire     Chemical-free    

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Improved directional-distance filter

JIN Lianghai, LI Dehua

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 2,   Pages 205-211 doi: 10.1007/s11465-008-0025-2

Abstract: traditional directional-distance filter (DDF) in a novel way, a new vector filter - the adaptive distance-weighted

Keywords： information     distance-weighted directional-distance     ADWDDF     traditional DDF     spatial-distance weighting    

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A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction Research Article

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11,   Pages 1574-1590 doi: 10.1631/FITEE.2200334

Abstract: further verification, HS-CS is used to optimize the back propagation neural network (BPNN) to extract weightedSimulation results show that the BPNN optimized by HS-CS can obtain higher classification accuracy of weighted

Keywords： Harmony search algorithm     Cuckoo search algorithm     Global convergence     Function optimization     Weighted    

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Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Frontiers of Structural and Civil Engineering 2016, Volume 10, Issue 4,   Pages 472-480 doi: 10.1007/s11709-016-0368-4

Abstract: Subsequently, using the weighted sum method (WSM), the two objective problem are converted to a single

Keywords： multi-objective     hybrid algorithm     ant colony     genetic algorithm     displacement     weighted sum method     steel    

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TPE-H2MWD: an exact thumbnail preserving encryption scheme with hidden Markov model and weighted diffusion Research Article

Xiuli CHAI, Xiuhui CHEN, Yakun MA, Fang ZUO, Zhihua GAN, Yushu ZHANG,chaixiuli@henu.edu.cn,2923105987@qq.com,1060734169@qq.com,zuofang@henu.edu.cn,gzh@henu.edu.cn,yushu@nuaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1169-1180 doi: 10.1631/FITEE.2200498

Abstract: With the substantial increase in image transmission, the demand for image security is increasing. Noise-like images can be obtained by conventional encryption schemes, and although the security of the images can be guaranteed, the noise-like images cannot be directly previewed and retrieved. Based on the rank-then-encipher method, some researchers have designed a three-pixel exact thumbnail preserving encryption (TPE2) scheme, which can be applied to balance the security and availability of images, but this scheme has low encryption efficiency. In this paper, we introduce an efficient exact thumbnail preserving encryption scheme. First, blocking and bit-plane decomposition operations are performed on the plaintext image. The zigzag scrambling model is used to change the bit positions in the lower four bit planes. Subsequently, an operation is devised to permute the higher four bit planes, which is an extended application of the . Finally, according to the difference in bit weights in each bit plane, a bit-level rule is established to generate an encrypted image and still maintain the same sum of pixels within the block. Simulation results show that the proposed scheme improves the encryption efficiency and can guarantee the availability of images while protecting their privacy.

Keywords： Hidden Markov model     Weighted diffusion     Balance between usability and privacy     Image encryption    

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Latent source-specific generative factor learning for monaural speech separation using weighted-factor

Jing-jing Chen, Qi-rong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng,2221808071@stmail.ujs.edu.cn,mao_qr@ujs.edu.cn,2211908026@stmail.ujs.edu.cn,2211908025@stmail.ujs.edu.cn,3160602062@stmail.ujs.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 11,   Pages 1535-1670 doi: 10.1631/FITEE.2000019

Abstract: In this study, we propose a novel weighted-factor (WFAE) model for MSS, which introduces a regularization

Keywords： 语音分离；生成因子；自动编码器；深度学习    

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Title Author Date Type Operation

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Quality-related locally weighted soft sensing for non-stationary processes by a supervised Bayesian network

Journal Article

Pyogenic liver abscess as initial presentation in locally advanced right colon cancer invading the liver

Kai Qu, Chang Liu, Aasef M A Mansoor, Bo Wang, Jincai Chen, Liang Yu, Yi Lv

Journal Article

evaluation of renal function using diffusion weighted imaging and diffusion tensor imaging in type 2

Xiaoyan Chen,Wenxia Xiao,Xinchun Li,Jianxun He,Xiaochun Huang,Yuyu Tan

Journal Article

View-invariant human action recognition via robust locally adaptive multi-view learning

Jia-geng FENG,Jun XIAO

Journal Article

Pharmaceutical compounds in aquatic environment in China: locally screening and environmental risk assessment

Yongshan CHEN,Xiuping XI,Gang YU,Qiming CAO,Bin WANG,François VINCE,Youwei HONG

Journal Article

radiation fraction induced by interaction burning of tri-symmetric propane fires in open space based on weighted

Jie JI, Junrui DUAN, Huaxian WAN

Journal Article

Label fusion for segmentation via patch based on local weighted voting

Kai ZHU, Gang LIU, Long ZHAO, Wan ZHANG

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

Locally enhanced electric field treatment (LEEFT) for water disinfection

Jianfeng Zhou, Ting Wang, Cecilia Yu, Xing Xie

Journal Article

Improved directional-distance filter

JIN Lianghai, LI Dehua

Journal Article

A modified harmony search algorithm and its applications in weighted fuzzy production rule extraction

Shaoqiang YE, Kaiqing ZHOU, Azlan Mohd ZAIN, Fangling WANG, Yusliza YUSOFF

Journal Article

Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization

Mehdi BABAEI,Ebrahim SANAEI

Journal Article

TPE-H2MWD: an exact thumbnail preserving encryption scheme with hidden Markov model and weighted diffusion

Xiuli CHAI, Xiuhui CHEN, Yakun MA, Fang ZUO, Zhihua GAN, Yushu ZHANG,chaixiuli@henu.edu.cn,2923105987@qq.com,1060734169@qq.com,zuofang@henu.edu.cn,gzh@henu.edu.cn,yushu@nuaa.edu.cn

Journal Article

Latent source-specific generative factor learning for monaural speech separation using weighted-factor

Jing-jing Chen, Qi-rong Mao, You-cai Qin, Shuang-qing Qian, Zhi-shen Zheng,2221808071@stmail.ujs.edu.cn,mao_qr@ujs.edu.cn,2211908026@stmail.ujs.edu.cn,2211908025@stmail.ujs.edu.cn,3160602062@stmail.ujs.edu.cn

Journal Article