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Photo-assisted uranium extraction based on heterogeneous catalysts

Science Bulletin 2024年第24期69卷 3800-3805页

作者： Kaifu Yu Li Zhou Linzhen Wu Changxue Dong Huanhuan Dong Jie Lian Xiaoyong Yang Rajeev Ahuja Tao Chen Wenkun Zhu State Key Laboratory of Environment-friendly Energy Materials Tianfu Institute of Research and InnovationNational Co-innovation Center for Nuclear Waste Disposal and Environmental SafetySchool of National Defence&Nuclear Science and TechnologySchool of Environment and ResourcesSchool of Life Science and EngineeringSouthwest University of Science and TechnologyMianyang 621010China College of Chemistry Sichuan UniversityChengdu 610064China CNNC Key Laboratory of Mass Spectrometry Analysis Technology Chengdu 611100China Condensed Matter Theory Group Materials Theory DivisionDepartment of Physics and AstronomyUppsala UniversityUppsala 75120Sweden Department of Physics Indian Institute of Technology RoparRupnagar 140001India

nuclear energy,as a novel clean energy source,has garnered significant attention and research interest due to its low greenhouse gas emissions and high energy density[1].However,the rapid advancement of nuclear energy has led to the pollution of uranium-containing wastewater and the depletion of terrestrial uranium minerals,posing significant obstacles to the further adoption of nuclear *** the one hand,the entire production and application process of the nuclear industry generates uraniumcontaining wastewater,encompassing mining,processing,and circulation(Fig.S1a online).

关键词： energy wastewater uranium

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Critical Slowing Down Theory Gives Precursor Signals for Early Warning of Landslides

SSRN

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SSRN 2022年

作者： Zhu, Xing Tang, Yao He, Zhao Qing Liu, Yan He, Shuai Chengdu University of Technology State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu610059 China Chengdu University of Technology School of Environment and Civil Engineering Chengdu610059 China Chengdu610059 China Chengdu University of Technology School of Nuclear Technology and Automation Engineering Chengdu610059 China

The critical slowing down theory was used to assess the field monitoring data of a rocky landslide in Longjing Village, Guizhou Province, China, and a loess landslide in Heifangtai, Gansu Province, China, in order to tackle the landslide catastrophe warning difficulties. The findings reveal that there is a clear critical slowing down phenomena in a complex dynamical system like a landslide, which is manifested by an increase in critical slowing down indicators (variance and autocorrelation coefficient) prior to landslide occurrence. The variance has stronger robustness than the autocorrelation coefficient, and the precursor point is easier to recognize than the autocorrelation coefficient. The predecessors of the critical slowing down theory warning indications occurred before the warning information was automatically published by the warning platform in all the four circumstances analyzed. The critical slowing down indicator can distinguish the warning signal release time more precisely than the improved tangent angle. When the improved tangent angle is greater than 45 degrees, using the critical slowing down index and improved tangent angle index as a comprehensive early warning index can greatly improve the early warning accuracy, reduce the chance of missing reports, and provide important reference values for the early warning of landslide disaster. © 2022, The Authors. All rights reserved.

关键词： Landslides

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XVAE-mViT: Explinable Hybrid Artificial Intelligence Framework for Predicting COVID-19 from Chest X-Ray and CT Scans

XVAE-mViT: Explinable Hybrid Artificial Intelligence Framewo...

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International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)

作者： Daniel Addo Mugahed A. Al-antari Shijie Zhou Kwabena Sarpong Ertan Bütün Muhammed Talo Humam AbuAlkebash Chiagoziem C. Ukwuoma School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Department of Artificial Intelligence DaeyangAI Center Sejong University Seoul Republic of Korea Department of Computer Engineering Firat University Elazığ Turkey Department of Software Engineering Firat University Elazig Turkey Department of Mechatronics Engineering Kocaeli University Kocaeli Turkey The College of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan China

The COVID-19 virus has rapidly spread as a global pandemic, causing significant impacts on public health, economies, and daily life worldwide. Accurately and quickly predicting COVID-19 is crucial to maintaining stronger healthcare systems. This paper introduces a novel hybrid model of artificial intelligence that combines the benefits of the Variational Auto-Encoder (VAE) with the attention mechanism based on the Vision Transformer (Vi $T$ ). The novel encoder network is structured with four sequential blocks, each involving residual connections of two multiscale kernel depth-wise separable convolution (MKnDSC) modules. The mobile Vi $T$ is coupled with the V AE to serve as the classification head for predicting COVID- 19 using chest X-ray (CXR) and computed tomography (CT) scan modalities. We achieved promising classification results with overall accuracies of 96.16% and 95.42% using CXR and CT images, respectively. The proposed hybrid AI framework appears to be a practical solution, especially considering its lightweight structure of 2.15 million parameters and 0.68 FLOPs.

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Nonlinear Model Predictive Control of Shipboard Boom Cranes with Ship Roll Motion

Nonlinear Model Predictive Control of Shipboard Boom Cranes ...

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2021 China automation Congress, CAC 2021

作者： Cao, Yuchi Zhao, Xiangjie Li, Tieshan Navigation College Dalian Maritime University Dalian China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665426473

In this paper, a nonlinear model predictive controller for shipboard boom cranes is proposed, while considering the ship roll motion caused by sea waves. After coordination transformation, the ship roll motion becomes part of new state variable, which can simplify the controller design significantly by making the time-varying reference value to be constants. All physical state constraints and input saturation are well considered and handled simultaneously by resorting to the virtues of nonlinear model predictive control (NMPC). CasADi and multiple shooting technique are employed to improve the computation efficiency of NMPC, thus the real-time implementation for shipboard boom cranes can be carried out. Moreover, simulations are elaborately designed to verify the effectiveness of the proposed controllers, satisfied performances are obtained. © 2021 IEEE

关键词： Cranes

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A LNICA based Fault Detection Method in Industrial Processes 3

A LNICA based Fault Detection Method in Industrial Processes

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3rd IEEE International Conference on Communications, Information System and Computer engineering, CISCE 2021

作者： Wang, Yuxuan Fan, Shicai Shenyuan Honors College Beihang University Beijing China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9780738112152

Fault detection is an important part of process control in order to achieve the safe operation. Data-driven methods including Independent Component Analysis (ICA) have been widely studied and applied. ICA performs reliable analysis by maximizing non-Gaussianity and obtaining statistically independent latent variables. To improve the adaptability of ICA on the industrial data, a Log-normal Independent Component Analysis (LNICA) method was proposed in this paper to maximize non-Gaussianity of the observed data. The experimental results on digital simulation data showed that our method could effectively detect the pulse disturbance. And the results on Tennessee Eastman (TE) process indicated that the LNICA had less false alarm rate, better fault detection performance than the traditional PCA and ICA methods. Also the LNICA had higher fault detection efficiency in the independent component optimization. © 2021 IEEE.

关键词： Independent component analysis

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Observer-Based Adaptive Fuzzy Control for Intelligent Ship Autopilot with State Constraint 11

Observer-Based Adaptive Fuzzy Control for Intelligent Ship A...

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11th International Conference on Information Science and technology, ICIST 2021

作者： Zhu, Liyan Li, Tieshan Dalian Maritime University Navigation College Dalian China University of Electronic Science and Technology of China School of Automation Engineering Chengdu China

ISBN: (纸本)9781665412667

This paper studies the problem of autopilot heading control of intelligent ship with unknown yaw rate and state constraint. For the cases of adaptive fuzzy control, fuzzy logic system (FLS) is adopted to establish the unknown nonlinear function, a fuzzy state observer is constructed to obtain the unknown yaw rate, barrier Lyapunov function ensures that the tracking error is restricted. In the process of designing rudder controller, fuzzy state observer, state constraint are taken into account. Compared with traditional output feedback scheme, the observer-based state constraint control strategy can save more resource effectively. Based on Lyapunov stability theory, adaptive fuzzy approach is proposed to guarantee the desired control objective. Meanwhile, autopilot constrained requirement are also ensured. Finally, the simulation results are provided to illustrate the effectiveness of the proposed methods. © 2021 IEEE.

关键词： Lyapunov functions

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Adaptive Containment Control for Unmanned Surface Vessels

Adaptive Containment Control for Unmanned Surface Vessels

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2021 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2021

作者： Mao, Yuhao Shan, Qihe Li, Tieshan Yang, Shun Yi, Qihang School of Navigation Dalian Maritime University Dalian China College of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665443227

An adaptive distributed containment control strategy is developed for unmanned Surface vessels(USVs) systems in this paper. The leaders in the system are linear second-order model, while the model of followers is with unknown nonlinear dynamics. To solve the problem of a non-linear dynamic system with unknown followers, neural networks are used in the proposed containment control algorithm to approximate the non-linear terms online, thereby counteracting the effects of the non-linear terms. Based on Lyapunov stability theory and graph theory, a adaptive second-order non-linear multiagent containment control method is proposed. The system can achieve the desired containment control effect. In order to further verify the effectiveness of the proposed algorithm, a simulation experiment was conducted. © 2021 IEEE.

关键词： Multi agent systems

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Performance Analysis of Cr1-xAlx Coatings with Different Low Al Content and Evolution of Al Element During Steam Oxidation

SSRN

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SSRN 2022年

作者： Li, Zhuo Zhao, Sha Liu, Chunhai Zeng, Guoqiang Liu, Sujuan Lai, Maolin He, Linxin Chang, Hong Long, Jianping Yang, Jijun College of Materials and Chemistry & Chemical Engineering Chengdu University of Technology Chengdu610059 China Key Laboratory of Radiation Physics and Technology Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China Sichuan Weiyi Electric Power Fittings Co. Ltd Zigong643000 China Chengdu Qixing Vacuum Coating Technology Co. Ltd Chengdu610000 China

Cr1-xAlx coatings with different low Al content were prepared on Zr alloy by magnetron sputtering. The influence of Al content on the microstructure, mechanical properties, surface wettability and oxidation resistance of the Cr1-xAlx coating was systematically evaluated. Air oxidation results show that a Cr91.4Al8.6 coating shows better air oxidation resistance. After steam oxidation tests, a Cr2O3-rich and Al2O3rich double oxide layer is found to be formed in the Cr91.4Al8.6 coating. The Al2O3rich layer can effectively prevent the surface Cr2O3 layer from being consumed by Zr diffusion along the Cr grain boundary and maintain stable double oxide structure, which improve the durability of the coating. Moreover, the diffusion evolution mechanism for the Al element during steam oxidation of the Cr91.4Al8.6 coating was analyzed in detail. © 2022, The Authors. All rights reserved.

关键词： Magnetron sputtering

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Ship detection in navigation based on broad learning system

Ship detection in navigation based on broad learning system

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2021 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2021

作者： Su, Hui Zuo, Yi Li, Tieshan Dalian Maritime University Navigation College Dalian China School of Automation Engineering University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9781665443227

Based on the broad learning system(BLS), this paper carries out the detection of ships in navigation. Firstly, grayscale, and histogram equalization are used to preprocess the image to enhance the detail of the image and improve the training accuracy. Secondly, randomly select a part of the photo set as the test set. Finally, BLS is introduced to train and test the data set. Two training methods, back propagation neural network(BPNN) and support vector machine (SVM), are used to compare the proposed method with the navigation ship data set. From the experimental results, it can be seen that the BLS in this paper has a better detection effect in ship detection. By applying the comparison on the face detection data set, the universality of BLS for image recognition is proved. © 2021 IEEE.

关键词： Feature extraction

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Influence of Si Addition on the Corrosion Behavior of 9cr Ferritic/Martensitic Steel in Static Liquid Lead-Bismuth Eutectic

SSRN

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SSRN 2023年

作者： Liu, Hao Chen, Qingsong Li, Qingyu Yang, Jijun Li, Yongchun Key Laboratory of Radiation Physics and Technology Ministry of Education Institute of Nuclear Science and Technology Sichuan University Chengdu610064 China Advanced Nuclear Energy Research Team Department of Nuclear Science and Technology College of Physics and Optoelectronic Engineering Shenzhen University Shenzhen518060 China

The corrosion behavior of 9Cr ferritic/martensitic (F/M) steel with different Si content in static liquid lead-bismuth eutectic (LBE) at 450-550 °C was investigated. At 450 °C and 500 °C, the oxide scale consists of an external magnetite layer, a Fe-Cr spinel layer and an irregular internal oxide zone (IOZ), except for samples corroded at 450 °C for 500 h which formed a bilayer consisting of a magnetite layer and a Fe-Cr spinel layer. Most of the samples that corroded at 550 °C underwent dissolution corrosion. The addition of Si significantly improved the resistance of 9Cr F/M steel to LBE corrosion at 450 °C and 500 °C, and slowed the progress of dissolution corrosion at 550 °C. © 2023, The Authors. All rights reserved.

关键词： Dissolution

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