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Adversarial Attacks and Defenses in Deep Learning Feature Article

Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu

Engineering 2020, Volume 6, Issue 3,   Pages 346-360 doi: 10.1016/j.eng.2019.12.012

Abstract: Recently, the security vulnerability of
DL algorithms to adversarial samples has been widely recognizedSuccessful implementations
of adversarial attacks in real physical-world scenarios further demonstrate
Hence, adversarial attack and defense techniques have attracted increasing attention from bothIn this paper,
we first introduce the theoretical foundations, algorithms, and applications of adversarial

Keywords： Machine learning     Deep neural network Adversarial example     Adversarial attack     Adversarial defense    

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Application Example of Creativity Thinking and Its Revelation Effect

Li Qiang

Strategic Study of CAE 2003, Volume 5, Issue 6,   Pages 59-62

Abstract:

The yield mechanism of creativity achievement of gravity separation for solving engineering problem has been analyzed in this paper according to the divergence - convergence model, after the background and realizing track of the advanced dry coal separation with air-dense medium in fluidization bed be put forward in the field of mineral processing. And the application process of creativity thinking and its revelation effect have been discussed, too.

Keywords： gravity separation     creativity thinking     divergence-convergence model     application example    

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Generative adversarial network based novelty detection usingminimized reconstruction error Article

Huan-gang WANG, Xin LI, Tao ZHANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 1,   Pages 116-125 doi: 10.1631/FITEE.1700786

Abstract: Generative adversarial network (GAN) is the most exciting machine learning breakthrough in recent yearsGAN is composed of a generator and a discriminator, both trained with the adversarial learning mechanism

Keywords： Generative adversarial network (GAN)     Novelty detection     Tennessee Eastman (TE) process    

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Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial Special Feature on Intelligent Design

Steven Szu-Chi CHEN, Hui CUI, Ming-han DU, Tie-ming FU, Xiao-hong SUN, Yi JI, Henry DUH

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 12,   Pages 1632-1643 doi: 10.1631/FITEE.1900399

Abstract: The synthesis module is developed based on a conditional generative adversarial network, which enables

Keywords： Cantonese porcelain     Classification     Generative adversarial network     Creative arts    

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Simulation of long-term nutrient removal in a full-scale closed-loop bioreactor for sewage treatment: an example

Zheng LI,Rong QI,Wei AN,Takashi MINO,Tadashi SHOJI,Willy VERSTRAETE,Jian GU,Shengtao LI,Shiwei XU,Min YANG

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 534-544 doi: 10.1007/s11783-014-0660-2

Abstract: In this study, the performance of nitrogen and phosphorus removal in a full-scale closed-loop bioreactor (oxidation ditch) system was simulated using the ASM2d model. Routine data describing the process for two years were compiled for calibration and validation. To overcome the identifiability problem, the classic Bayesian inference approach was utilized for parameter estimation. The calibrated model could describe the long-term trend of nutrient removal and short-term variations of the process performance, showing that the Bayesian method was a reliable and useful tool for the parameter estimation of the activated sludge models. The anoxic phosphate uptake by polyphosphate accumulating organisms (PAO) contributed 71.2% of the total Poly-P storage, which reveals the dominance of denitrifying phosphorus removal process under the oxygen limiting conditions. It was found that 58.7% of the anoxic Poly-P storage and denitrification by PAO in the reactor was achieved in the aerated compartment, implying that the PAO’s anoxic activity was significantly stimulated by the low dissolved oxygen (DO) level in this compartment due to the oxygen gradient caused by brush aerator.

Keywords： activated sludge model     Bayesian inference     biological nutrient removal     closed-loop bioreactor     oxidation ditch     denitrifying polyphosphate accumulating organisms    

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Research on brackish water desalination by new energy—Take Gansu Province for example

Wang Gang

Strategic Study of CAE 2015, Volume 17, Issue 3,   Pages 45-49

Abstract:

The paper proposes to apply one new technology base on the research results of “973” project of non-grid-connected wind power to gain freshwater in some areas （such as Gansu Province） which is shortage of freshwater resources，but rich in Brackish water. Then，efficiency advantages of the new technology are analyzed from the perspective of energy consumption and energy conservation. Some suggestions about this application of large-scale technology were put forward.

Keywords： non-grid-connected； new energy； brackish water； desalination    

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An analytical method for calculating torsional constants for arbitrary complicated thin-walled cross-sections

DU Baisong, GE Yaojun, ZHOU Zheng

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 293-297 doi: 10.1007/s11709-007-0038-7

Abstract: Finally, a complicated thin-walled cross-section is given as a valid numerical example to verify the

Keywords： homogeneous     complicated thin-walled     numerical example     advantage     torsional function    

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Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated power distribution networks

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 211-227 doi: 10.1007/s11708-022-0847-3

Abstract: proposed model consists of four modules, Pre-training Network and modified interior point methods with adversarialnetworks (Modified IPMAN) as core modules, and discriminator generative adversarial network (Dis-GAN

Keywords： end-to-end learning     microgrids     voltage profile improvement     generative adversarial network    

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Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

Xiangkun He,Wenhui Huang,Chen Lv,

Engineering doi: 10.1016/j.eng.2023.10.005

Abstract: adversary model is learned online to simulate the worst-case uncertainty by approximating the optimal adversarialIn addition, an adversarial robust actor-critic algorithm is developed to enable the agent to learn robust

Keywords： Autonomous vehicle     Decision-making     Reinforcement learning     Adversarial attack     Safety guarantee    

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mode for the large railway construction enterprise — taking China Tiesiju Civil Engineering Group for example

Xu Baocheng

Strategic Study of CAE 2012, Volume 14, Issue 12,   Pages 58-61

Abstract: Furthermore, the paper discusses about the changing operation mode of railway construction enterprise by the example

Keywords： construction enterprise     railway     changing mode     operation mode    

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Study on the Mechanism and Cause Mode of the Karst Collapse——Taking Tai’an-Laiwu for Example

Gao Zongjun

Strategic Study of CAE 2008, Volume 10, Issue 4,   Pages 38-43

Abstract:

The fearful karst collapses have been produced in succession since 1970s by the exploitation of karst water in the area of Tai'an-Laiwu, Shandong province. The limestone buried by Quaternary System grows into karst caves, and karst collapse brings enormous harm to the local society and economy development. The spatio-temporal distributing characteristics of karst collapse are summed up in detail. The geological condition, artificial function and forming mechanism of karst collapse are discussed. The cause mode of the karst collapse aiming at the existing questions is discussed and the idea for karst collapse studying in the future is given at last.

Keywords： Tai’an-Laiwu     karst collaps     spatio-temporal distributing characteristics     forming mechanism     cause mode    

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Optimization model analysis of centralized groundwater source heat pump system in heating season

Shilei LU,Yunfang QI,Zhe CAI,Yiran LI

Frontiers in Energy 2015, Volume 9, Issue 3,   Pages 343-361 doi: 10.1007/s11708-015-0372-8

Abstract: The ground-water heat-pump system (GWHP) provides a high efficient way for heating and cooling while consuming a little electrical energy. Due to the lack of scientific guidance for operating control strategy, the coefficient of performance (COP) of the system and units are still very low. In this paper, the running strategy of GWHP was studied. First, the groundwater thermal transfer calculation under slow heat transfixion and transient heat transfixion was established by calculating the heat transfer simulation software Flow Heat and using correction factor. Next, heating parameters were calculated based on the building heat load and the terminal equipment characteristic equation. Then, the energy consumption calculation model for units and pumps were established, based on which the optimization method and constraints were established. Finally, a field test on a GWHP system in Beijing was conducted and the model was applied. The new system operation optimization idea for taking every part of the GWHP into account that put forward in this paper has an important guiding significance to the actual operation of underground water source heat pump.

Keywords： optimization model     groundwater source heat pump system     theoretical analysis     example verification     heating    

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One-Variable Attack on The Industrial Fault Classification System and Its Defense Article

Yue Zhuo, Yuri A.W. Shardt, Zhiqiang Ge

Engineering 2022, Volume 19, Issue 12,   Pages 240-251 doi: 10.1016/j.eng.2021.07.033

Abstract: However, these data-driven models are vulnerable to adversarial attacks; thus, small perturbations onrecent studies have demonstrated the vulnerability of machine learning methods and the existence of adversarialMoreover, to hide the adversarial samples in the visualization space, a Jacobian matrix is used to guidethe perturbed variable selection, making the adversarial samples in the dimensional reduction spaceBased on the attack method, a corresponding adversarial training defense method is also proposed, which

Keywords： Adversarial samples     Black-box attack     Industrial data security     Fault classification system    

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Study on the project multiple-objectives coordination

Liu Xiaofeng,Chen Tong, Wu Shaoyan

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 90-94

Abstract: The numeric example followed indicates that PSO can solve the multiple-objectives coordination optimization

Keywords： management     efficiency coefficient of coordination     multiple optimization coordination model     numeric example    

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A Geometric Understanding of Deep Learning Article

Na Lei, Dongsheng An, Yang Guo, Kehua Su, Shixia Liu, Zhongxuan Luo, Shing-Tung Yau, Xianfeng Gu

Engineering 2020, Volume 6, Issue 3,   Pages 361-374 doi: 10.1016/j.eng.2019.09.010

Abstract: Times New Roman",serif">This work introduces an optimal transportation (OT) view of generative adversarial

Keywords： Generative     Adversarial     Deep learning     Optimal transportation     Mode collapse    

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Title Author Date Type Operation

Adversarial Attacks and Defenses in Deep Learning

Kui Ren, Tianhang Zheng, Zhan Qin, Xue Liu

Journal Article

Application Example of Creativity Thinking and Its Revelation Effect

Li Qiang

Journal Article

Generative adversarial network based novelty detection usingminimized reconstruction error

Huan-gang WANG, Xin LI, Tao ZHANG

Journal Article

Cantonese porcelain classification and image synthesis by ensemble learning and generative adversarial

Steven Szu-Chi CHEN, Hui CUI, Ming-han DU, Tie-ming FU, Xiao-hong SUN, Yi JI, Henry DUH

Journal Article

Simulation of long-term nutrient removal in a full-scale closed-loop bioreactor for sewage treatment: an example

Zheng LI,Rong QI,Wei AN,Takashi MINO,Tadashi SHOJI,Willy VERSTRAETE,Jian GU,Shengtao LI,Shiwei XU,Min YANG

Journal Article

Research on brackish water desalination by new energy—Take Gansu Province for example

Wang Gang

Journal Article

An analytical method for calculating torsional constants for arbitrary complicated thin-walled cross-sections

DU Baisong, GE Yaojun, ZHOU Zheng

Journal Article

Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated power distribution networks

Journal Article

Toward Trustworthy Decision-Making for Autonomous Vehicles: A Robust Reinforcement Learning Approach with Safety Guarantees

Xiangkun He,Wenhui Huang,Chen Lv,

Journal Article

mode for the large railway construction enterprise — taking China Tiesiju Civil Engineering Group for example

Xu Baocheng

Journal Article

Study on the Mechanism and Cause Mode of the Karst Collapse——Taking Tai’an-Laiwu for Example

Gao Zongjun

Journal Article

Optimization model analysis of centralized groundwater source heat pump system in heating season

Shilei LU,Yunfang QI,Zhe CAI,Yiran LI

Journal Article

One-Variable Attack on The Industrial Fault Classification System and Its Defense

Yue Zhuo, Yuri A.W. Shardt, Zhiqiang Ge

Journal Article

Study on the project multiple-objectives coordination

Liu Xiaofeng,Chen Tong, Wu Shaoyan

Journal Article

A Geometric Understanding of Deep Learning

Na Lei, Dongsheng An, Yang Guo, Kehua Su, Shixia Liu, Zhongxuan Luo, Shing-Tung Yau, Xianfeng Gu

Journal Article