检索结果-内蒙古大学图书馆

Bridging the structure gap between pellets in artificial dissolution media and in gastro-intestinal tract in rats

Acta Pharmaceutica Sinica B 2022年第1期12卷 326-338页

作者： Hongyu Sun Siyu He Li Wu Zeying Cao Xian Sun Mingwei Xu Shan Lu Mingdi Xu Baoming Ning Huimin Sun Tiqiao Xiao Peter York Xu Xu Xianzhen Yin Jiwen Zhang School of Chemical and Environmental Engineering Shanghai Institute of TechnologyShanghai 201418China Center for Drug Delivery System Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201210China University of Chinese Academy of Sciences Beijing 100049China School of Materials Science and Engineering Center for Supramolecular Chemistry and CatalysisDepartment of ChemistryShanghai UniversityShanghai 200444China NMPA Key Laboratory for Quality Research and Evaluation of Pharmaceutical Excipients National Institutes for Food and Drug ControlBeijing 100050China National Institutes for Food and Drug Control Beijing 100050China Shanghai Synchrotron Radiation Facility/Zhangjiang Lab Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai 201204China Center for MOST and Image Fusion Analysis Shanghai Institute of Materia MedicaChinese Academy of SciencesShanghai 201210China

Changes in structure of oral solid dosage forms(OSDF) elementally determine the drug release and its therapeutic *** this research,synchrotron radiation X-ray micro-computed tomography was utilized to visualize the 3 D structure of enteric coated pellets recovered from the gastrointestinal tract of *** structures of pellets in solid state and in vitro compendium media were *** in vivo underwent morphological and structural changes which differed significantly from those in vitro compendium ***,optimizations of the dissolution media were performed to mimic the appropriate in vivo conditions by introducing pepsin and glass microspheres in *** sphericity,pellet volume,pore volume and porosity of the in vivo esomeprazole magnesium pellets in stomach for2 h were recorded 0.47,1.55 × 10^(8)μm^(3),0.44 × 10^(8)μm^(3)and 27.6%,*** adding pepsin and glass microspheres,the above parameters in vitro reached to 0.44,1.64 × 10^(8)μm^(3)0.38 × 10^(8)μm^(3)and 23.0%,*** magnesium pellets behaved *** structural features of pellets between in vitro media and in vivo condition were bridged successfully in terms of 3 D structures to ensure better design,characterization and quality control of advanced OSDF.

关键词： Internal 3D structure 3D reconstruction Structural parameter Enteric coated pellets Synchrotron radiation X-ray micro computed tomography In vivo and in vitro structure correlation Esomeprazole magnesium Omeprazole magnesium

来源：评论

学校读者我要写书评

暂无评论

Modified Affine Strategy for Two-Stage Robust Optimization of Generation and Reserve with Correlated Wind Power

Modified Affine Strategy for Two-Stage Robust Optimization o...

引用

2022 Power system and Green Energy Conference, PSGEC 2022

作者： Guo, Qi Cai, Haiqing Gu, Haohan Pan, Sijia Xu, Xiaoyuan Yan, Zheng Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System China Csg Electric Power Research Institute Co. Ltd. Guangzhou China Department of Electrical Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9781665499934

ISBN: (纸本)9781665499934

A robust optimal power system dispatching method based on modified affine strategy is proposed to cope with the generation reserve coordination problem considering wind power uncertainty. Firstly, focusing on power system with wind turbines, a two-stage power optimal dispatch model of generation and reserve is established. Secondly, considering the statistical information of wind power errors, the self-organizing mapping(SOM) neural network is applied to make the wind power data get clustered, and then multiple uncertainty sets of wind power output error are constructed. Then, on the basis of the robust optimization model with multiple uncertainty sets, a modified affine strategy method is proposed, and it is transformed into linear programming(LP) model by dual principle. A 6-bus system and IEEE 118-bus system are tested for case studies, then the modified affine strategy is compared with the conventional affine strategy. The results show that the modified affine strategy has higher solution efficiency and better economic benefits, improves the problem of conservative modeling of uncertainty sets, and verifies the effectiveness and advancement of the proposed strategy. © 2022 IEEE.

关键词： Wind power

来源：评论

学校读者我要写书评

暂无评论

SiC MOSFET Crosstalk Modelling with Suppression Considering Impacts of dv/dt and di/dt

SiC MOSFET Crosstalk Modelling with Suppression Considering ...

引用

International Conference on Power Electronics (ICPE)

作者： Wenhao Xie Shiqi Ji Zhengming Zhao Xin Mo Department of Electrical Engineering State Key Laboratory of Control and Simulation of Power System and Generation Equipment Tsinghua University China Tsinghua Sichuan Energy Internet Research Institute China

Compared to Si IGBTs, SiC MOSFETs can reduce switching losses, achieve higher switching frequencies and enable smaller converter size. However, due to the high dv/dt of SiC MOSFETs, certain topologies, such as two SiC MOSFETs in a phase-leg configuration, are highly sensitive to crosstalk, which can slow down switching speed and even reduce gate oxide’s lifetime. In this paper, an accurate model of crosstalk is established by considering the impacts of both dv/dt and di/dt in the power loop. The proposed model can simulate the gate-source voltage on bare die of SiC MOSFETs, allowing for a more accurate evaluation of the impact of crosstalk. Model verification is implemented using a double pulse test (DPT) platform and a gate driver with active miller clamp technology. Key parameters of the model are extracted from both 3D simulation models and measurement experiments. The DPT waveform of power loop is used as the excitation source in the simulation, and the simulated gate-source waveform shows good agreement with the experimental waveform. Based on the model, parameter sensitivity analysis is performed, and suggestions for improving crosstalk suppression are proposed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Self-organized Criticality in C. elegans Neural Network

Self-organized Criticality in C. elegans Neural Network

引用

第42届中国控制会议

作者： Xiao Gu Jian Liu Ye Yuan Peng Zhao Kuankuan Xin Tao Fang Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education Shanghai Engineering Research Centre of Intelligent Control and Management Institute of Machine Intelligence University of Shanghai for Science and Technology Queensland Brain Institute The University of Queensland

The self-organized criticality is a fundamental property for organisms to perform normal functional *** large-scale biological neural network researches have found the existence of self-organized criticality through avalanche phenomenon, which is typical characteristic of self-organized criticality. However, such research method is not suitable for small-scale biological neural network, because number of neurons in small-scale biological neural network is not large enough to support the emergence of avalanche phenomenon. It has been demonstrated that branching parameter can also be used to describe the propagation of activity in the neural network. Here, in this paper, the C. elegans neural network composed of 302 neurons is selected to investigate the existence of self-organized criticality using branching parameter. Based on the obtained connectome of C. elegans, a directed graph model is constructed to simulate the gradient potential of neurons and the activity of C. elegans, then, the existence of self-organized criticality in the neural network of C. elegans is proved by using branching parameter method. Meanwhile, the result is further confirmed by analyzing the calcium activity data of C. elegans obtained from biological experiments.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Wear Behaviour of Deep Cryogenically Treated Coated Tool During End Milling of Xh67mbtho

SSRN

引用

SSRN 2024年

作者： Sasi, Jayaram C. Mathew, Jose George, Allan Kuriachen, Basil Dhanish, P.B. Oommen, George Anoop, C.R. Advanced Manufacturing Centre Department of Mechanical Engineering National Institute of Technology Calicut India National Institute of Technology Materials and Manufacturing Entity LPSC Indian Space Research Organisation India Control System and Components Entity LPSC Indian Space Research Organisation India

Current study investigates the influence of deep cryogenic treatment on wear mechanisms across the WC milling inserts while machining XH67MBTHO, a nickel-based superalloy which finds enormous applications in high temperature applications of aerospace engines. With aid of SEM and EDS analysis various mechanism of tool wear including diffusion, abrasion, plastic deformation was studied observed for both cryo treated and untreated tool. A maximum reduction of 26% on flank wear, 48.93% on worn out crater area, 26.97% on resultant cutting force,23.8% on surface roughness was observed while using treated tool in comparison with untreated. © 2024, The Authors. All rights reserved.

关键词： Cryogenics

来源：评论

学校读者我要写书评

暂无评论

research on Electromechanical Actuated Unlocking Technology of Landing Gear an Aircraft

Research on Electromechanical Actuated Unlocking Technology ...

引用

2022 CSAA/IET International Conference on Aircraft Utility systems, AUS 2022

作者： Liu, Zehua Li, Xin Zhao, Jia Yin, Yin Zhang, Jun Institute of Mechanical and Electrical System The First Aircraft Institute AVIC Xi'an710089 China State Key Laboratory of Mechanics and Control of Mechanical Structures Nanjing University of Aeronautics and Astronautics Nanjing210016 China Requirements Engineering and Aircraft Development Department Shanghai Aircraft Design and Research Institute Shanghai200135 China

ISBN: (数字)9781839537769

ISBN: (纸本)9781839537769

Aiming at the shortage of conventional aircraft landing gear unlocking by mechanical, hydraulic and air conditioning methods and the mature development of electric actuation technology, taking a certain aircraft as an example, the upper lock unlocking was changed to an electric actuation mode. The design of mechanical unlocking mechanism, electric unlocking control system and mechanism mechanics analysis, combined with the 3D modeling features of LMS *** Motion and the mechatronic modeling advantages of LMS *** AMESim, carried out the combination of electric unlocking and control systems simulation analysis. Finally, a model of the electrically operated unlocking system prototype was physically tested on a landing gear test bench of a certain model. The test results show that the designed electrically operated unlocking system of the upper gear of the landing gear can successfully open the lock. The operating time and force are within the design range, which proves the effectiveness and correctness of the electric unlocking technology. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Locks (fasteners)

来源：评论

学校读者我要写书评

暂无评论

A Preliminary Study on the Application of Large Language Models in Power system Simulations

A Preliminary Study on the Application of Large Language Mod...

引用

International Conference on Power and Energy Technology (ICPET)

作者： Xinwei Sun Yunyang Xu Tannan Xiao Han Diao Shaowei Huang Bo Zhou Wei Wei State Grid Sichuan Electric Power Research Institute Chengdu China State Key Laboratory of Power System Operation and Control Tsinghua University Beijing China Department of Electrical Engineering Tsinghua University Beijing China

ISBN: (数字)9798350375855

ISBN: (纸本)9798350375862

The digital update of power systems requires the support of intelligent application systems. Therefore, this paper investigates the utilization of a cutting-edge artificial intelligence technology called the Large Language Model (LLM) in power system simulations. The study provides a comprehensive overview of the key techniques employed in developing advanced simulation applications using LLMs, including retrieval-augmented generation and chain-of-thought prompting. Moreover, the paper showcases the development of two intelligent simulation applications on the CloudPSS, which is a high-performance cloud simulation platform for energy internet. The process of application development is described in detail, and the operational outcomes are presented to demonstrate the initial validation of the LLM's ability to initiate simulation tools and generate simulation codes.

关键词： Cloud computing Codes Large language models Power system simulation Power system dynamics Retrieval augmented generation Robustness Power industry Security Protection

来源：评论

学校读者我要写书评

暂无评论

Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Learning 22

Depth-Aware Multi-Modal Fusion for Generalized Zero-Shot Lea...

引用

22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Cao, Weipeng Yao, Xuyang Xu, Zhiwu Pan, Yinghui Sun, Yixuan Li, Dachuan Qiu, Bohua Wei, Muheng Shenzhen China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University Shenzhen China College of Computer Science and Software Engineering Shenzhen University Shenzhen China Stony Brook University New York United States Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China ZhenDui Industry Artificial Intelligence Co. Ltd Shenzhen China Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China

ISBN: (纸本)9798331527471

Realizing Generalized Zero-Shot Learning (GZSL) based on large models is emerging as a prevailing trend. However, most existing methods merely regard large models as black boxes, solely leveraging the features output by the final layer while disregarding potential performance enhancements from other layers. Indeed, numerous researchers have visually depicted variations in the features learned across different layers of neural networks. Motivated by this observation, we propose a Vision Transformer (ViT)-based GZSL method named Depth-Aware Multi-Modal ViT (DAM2ViT), which exploits multi-level features of ViT. DAM2ViT incorporates a multi-modal interaction block to align semantic information of categories across multiple layers, thereby augmenting the model’s capacity to learn associations between visual and semantic spaces. Extensive experiments conducted on three benchmark datasets (i.e., CUB, SUN, AWA2) have showcased that DAM2ViT achieves competitive results compared to state-of-the-art methods. © 2024 IEEE.

关键词： Zero-shot learning

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis for Small Samples Based on VMR

Fault Diagnosis for Small Samples Based on VMR

引用

Chinese Automation Congress (CAC)

作者： Xuejin Wu Yanghu Hu Yali Wu Department of Information and Control Engineering Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi'an University of Technology Xi'an China State Key Laboratory of Metal Extrusion and Forging Equipment Technology China National Heavy Machinery Research Institute Co. Ltd Xi'an China

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

The scarcity of fault samples presents a significant challenge for fault diagnosis in industrial processes. Conventional methods often fail to deliver satisfactory results when dealing with small sample sizes. In addressing the issue of small sample fault diagnosis in industrial processes, this paper utilizes the Variational Mode Reconstruction(VMR) algorithm to screen the best components decomposed by the Variational Mode Decomposition(VMD) through the envelope entropy then random weighting them and signal reconstruction to achieve data enhancement, to enrich the sample size and to prevent the model overfitting phenomenon due to the scarcity of samples. Meanwhile, this paper integrates Convolutional Neural Network (CNN) and Long Short-term Memory Neural Network (LSTM) to propose a network model of spatio-temporal feature fusion for feature extraction and classification. The experiments demonstrate that this model not only enhances data diversity but also ensures consistency before and after enhancement, effectively mitigating overfitting. Furthermore, it guarantees high recognition and generalization rates in fault diagnosis.

关键词： Fault diagnosis Training Neural networks Rolling bearings Feature extraction Data models Signal reconstruction Convolutional neural networks Long short term memory Overfitting

来源：评论

学校读者我要写书评

暂无评论

Recurrent Attentional Reinforcement Learning for Fault Diagnosis of Hydraulic system

Recurrent Attentional Reinforcement Learning for Fault Diagn...

引用

International Conference on control, Decision and Information Technologies (CoDIT)

作者： Zhenhui Tang Ru Liu Kang Lou Chaojian Gao Jingcheng Wang SJTU Sanya Yazhou Bay Institute of Deepsea Science and Technology Sanya China Department of Automation Shanghai Jiao Tong University Shanghai China Shanghai Marine Equipment Research Institute Shanghai China Department of Automation the Key Laboratory of System Control and Information Processing Ministry of Education of China and the Shanghai Engineering Research Center of Intelligent Control and Management Shanghai Jiao Tong University Shanghai China Autonomous Systems and Intelligent Control International Joint Research Center Xi'an Technological University Xi'an China

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

Recognizing fault types of machinery system is a fundamental but challenging task in industrial application. Although data-driven fault diagnosis method attains remarkable progress by learning fault features automatically, the existing data-driven fault diagnosis pipelines learn non-discriminative feature. To deal with these problems, a new data-driven fault diagnosis method with recurrent attentional module is proposed to find a sequence of informative features by localizing distinguishing time fragments about each individual faults iteratively. The contextual sequence dependency between the localized time fragments is enhanced. Then, the fault types are further predicted on localized time fragments. The proposed framework also explicitly models long-term dependencies among these attentional time fragments to capture historical fault information. Experiments on hydraulic system show that the proposed framework achieves superior diagnosis performance and computation efficiency.

关键词： Fault diagnosis Location awareness Accuracy Computational modeling Pipelines Reinforcement learning Hydraulic systems Computational efficiency Information technology

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：