检索结果-内蒙古大学图书馆

Physical information-enhanced graph neural network for predicting phase separation

Chinese Physics B 2024年第7期33卷 278-283页

作者：张亚强王煦文王雅楠郑文 Institute of Public-Safety and Big Data College of Computer Science and Technology(College of Data Science)Taiyuan University of TechnologyJinzhong 030600China Shanxi Engineering Research Centre for Intelligent Data Assisted Treatment Changzhi Medical CollegeChangzhi 046000China Innovation Academy for Microsatellites of Chinese Academy of Sciences Shanghai 200050China

Although phase separation is a ubiquitous phenomenon, the interactions between multiple components make it difficult to accurately model and predict. In recent years, machine learning has been widely used in physics simulations. Here,we present a physical information-enhanced graph neural network(PIENet) to simulate and predict the evolution of phase separation. The accuracy of our model in predicting particle positions is improved by 40.3% and 51.77% compared with CNN and SVM respectively. Moreover, we design an order parameter based on local density to measure the evolution of phase separation and analyze the systematic changes with different repulsion coefficients and different Schmidt *** results demonstrate that our model can achieve long-term accurate predictions of order parameters without requiring complex handcrafted features. These results prove that graph neural networks can become new tools and methods for predicting the structure and properties of complex physical systems.

关键词： graph neural network phase separation machine learning dissipative particle dynamics

来源：评论

学校读者我要写书评

暂无评论

A Novel Multiphase Stainless Steel with Ultra-Low Yield Ratio and High Ductility

引用

Acta Metallurgica Sinica(English Letters) 2024年第10期37卷 1777-1784页

作者： Menghao Liu Cuiwei Du Yuewu Li Xiaogang Li Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing100083China National Materials Corrosion and Protection Data Center University of Science and Technology BeijingBeijing100083China

This study focuses on developing a novel multiphase stainless steel with enhanced ductility and an ultralow yield ratio achieved through solid-solution *** steel exhibits remarkable mechanical properties:a tensile strength of approximately 1114 MPa,an ultralow yield ratio of 0.36,exceptional uniform elongation of approximately 17.48%,and total elongation of approximately 21.73%.The remarkable ductility of the steel can be attributed to the transformation-induced plasticity(TRIP)effect observed in the retained austenite,while its exceptional strength results from the combined effects of TRIP and the martensite phase.

关键词： Stainless steels Metastable phases Low yield ratio Martensitic phase transformation

来源：评论

学校读者我要写书评

暂无评论

A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTM

引用

Computers, Materials & Continua 2024年第3期78卷 3089-3127页

作者： Navaneetha Krishnan Muthunambu Senthil Prabakaran Balasubramanian Prabhu Kavin Kishore Senthil Siruvangur Kavitha Chinnadurai Jehad Ali Department of Computer Applications Karpagam College of EngineeringCoimbatore641032India Department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Data Science and Business Systems College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyJeppiaar NagarRajiv Gandhi SalaiChennai600119India Department of AI Convergence Network Ajou UniversitySuwon16499Korea

The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the ***,this development has expanded the potential targets that hackers might *** adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or *** identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious *** research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)*** proposed model can identify various types of cyberattacks,including conventional and distinctive *** networks,a specific kind of feedforward neural networks,possess an intrinsic memory *** Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended *** such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual *** are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection *** model utilises Recurrent Neural Networks,specifically exploiting LSTM *** proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.

关键词： Cybersecurity intrusion detection machine learning leveraging long short-term memory(LLSTM) CICIDS2019 dataset innovative cyberattacks

来源：评论

学校读者我要写书评

暂无评论

Effect of Mn alloying on the hydrogen-assisted cracking behavior in multiphase/duplex stainless steel

引用

材料科学技术（英文版） 2025年第4期207卷 126-141页

作者： Menghao Liu Cuiwei Du Xiaogang Li Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China Key Laboratory for Corrosion and Protection of the Ministry of Education Institute of Advanced Materials & TechnologyUniversity of Science and Technology BeijingBeijing 100083China National Materials Corrosion and Protection Data Center University of Science and Technology BeijingBeijing 100083China

There remains debate on whether Mn is beneficial or detrimental to hydrogen embrittlement in stainless *** this work,a series of stainless steels were designed to study the change of hydrogen embrit-tlement sensitivity,crack propagation,and hydrogen trapping behaviors upon Mn *** results suggest that adding 4 wt.％Mn increased hydrogen embrittlement susceptibility,whereas adding 8 wt.％Mn decreased hydrogen embrittlement *** banded α'-martensite through austenitic grain is the main reason for the increased hydrogen embrittlement sensitivity when adding 4 wt.％Mn,by ad-sorbing hydrogen,promoting crack initiation,and accelerating crack propagation.

关键词： Hydrogen-assisted cracking Multiphase stainless steel Manganese

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of DeepLabCut and Other Open-Source Pupillometry data Analysis Algorithms – Which to Choose?

引用

Machine Graphics and Vision 2024年第2期33卷 77-90页

作者： Badkul, Amitesh Mishra, Sonakshi Kommajosyula, Srinivasa P. Department of Electrical & Electronics Engineering Birla Institute of Technology and Science Hyderabad Campus Jawahar Nagar Hyderabad India Department of Pharmacy Birla Institute of Technology and Science Hyderabad Campus Jawahar Nagar Hyderabad India Ph.D. Program in Computer Science The Graduate Center The City University of New York New YorkNY United States

Pupillometry measures pupil size, and several open-source algorithms are available to analyse pupillometry data. However, only a few studies compared these algorithms’ accuracy and computational resources. This study aims to compare the accuracy of computer vision-based algorithms (Swirski, Starburst, PuRe, ElSe, ExCuSe algorithms) and the machine learning algorithm, DeepLabCut, to the double-blinded human examiners (gold-standard). Training of DeepLabCut with different architectures and a variable number of markers (2-9 markers) was done on an open-source dataset. The duration of training was statistically longer for the ResNet152 model compared to the MobileNet model. The pupil diameters in computer vision-based software such as PuRe, Starburst, and Swirski were statistically different from human measurements. MobileNet 2 and 3 marker models were the closest to the human measurements. In conclusion, this work highlights the efficiency of lower marker models based on MobileNet architecture in DeepLabCut, which consumes fewer computational resources and is more accurate. © 2024 institute of Information technology, Warsaw University of Life sciences - SGGW. All rights reserved.

关键词： Adversarial machine learning

来源：评论

学校读者我要写书评

暂无评论

Parabolic trough solar collectors: A sustainable and efficient energy source

引用

Materials science for Energy Technologies 2024年第1期7卷 99-106页

作者： Ahmad, Asim Prakash, Om Kausher, Rukaiya Kumar, Gaurav Pandey, Shatrudhan Hasnain, S.M. Mozammil Faculty of Engineering and Applied Science Usha Martin University Ranchi835103 India Department of Mechanical Engineering Birla Institute of Technology Ranchi Mesra835215 India Department of Civil and Environmental Engineering Birla Institute of Technology Ranchi Mesra835215 India Department of Production and Industrial Engineering Birla Institute of Technology Ranchi Mesra835215 India

Fossil fuels are a finite resource that is becoming increasingly expensive. Solar energy is a renewable resource that has the potential to provide a lifetime supply of energy. Parabolic trough solar collectors are a type of solar thermal collector that can be used to generate electricity. This paper discusses the potential advantages and challenges of using parabolic trough solar collectors. One of the main advantages of parabolic trough solar collectors is their scalability. They can be used to generate electricity on a small scale, such as for a home or business, or on a large scale, such as for a power plant. Parabolic trough solar collectors are also reliable and have a long lifespan. They are not as susceptible to weather damage as other types of solar collectors, such as photovoltaic panels. However, there are some challenges associated with using parabolic trough solar collectors. One challenge is that they require large land areas. Another challenge is that they can be expensive to maintain. Despite the potential, further research is essential to address these issues. Future prospects lie in optimizing land use, enhancing maintenance strategies, and advancing collector technology to harness the full potential of parabolic trough solar collectors. Overall, parabolic trough solar collectors are a promising technology for generating electricity from solar energy. However, more research is needed to address the challenges associated with this technology. © 2023

关键词： Solar energy

来源：评论

学校读者我要写书评

暂无评论

Advancing Nitrite Sensing: A Comparative Study of Graphene and Carbon-Based PLA 3D Printed Electrochemical Sensors 16

Advancing Nitrite Sensing: A Comparative Study of Graphene a...

引用

16th International Conference on Sensing technology, ICST 2023

作者： Pal, Abhishesh Dubey, Satish Kumar Goel, Sanket Birla Institute of Technology and Science Department of Mechanical Engineering Hyderabad India Birla Institute of Technology and Science Department of Electrical and Electronics Engineering Hyderabad India

ISBN: (纸本)9798350395341

Employment of Fused deposition modelling (FDM) as a sensor presents an opportunity to fabricate and develop sensors at a mass scale with good reproducibly as reduces or eliminates human intervention, hence, lesser error. In this work a conductive graphene and carbon based polylactic acid (PLA) filaments were used to 3D printed devices for electrochemical sensing of the nitrite. The limit of detection was 1.08 μM and 1.89 μM for the graphene and proto-pasta PLA respectively along with specific response for the nitrite. © 2023 IEEE.

关键词： Graphene

来源：评论

学校读者我要写书评

暂无评论

Dynamic change in the shape of the droplet placed on superhydrophobic Cu-based surface through electrochemical reaction under negative bias potential

引用

Materials Today: Proceedings 2023年 76卷 303-309页

作者： Sahoo, Priyanka Sow, Pradeep Kumar Department of Chemical Engineering Birla Institute of Technology and Science Pilani K. K. Birla Goa Campus Goa Zuarinagar 403726 India

The interdependence between the redox reactions capable of changing surface composition and the wettability is central to a wide array of applications ranging from electrochemical energy production and storage technologies to wettability control for microfluidic applications. In this study, we have demonstrated that the shape of a potassium chloride-based electrolyte droplet placed on a superhydrophobic copper–copper oxide surface changes dynamically upon the application of negative bias potentials. The copper–copper oxide based superhydrophobic surface with micro-nano structured roughness features was prepared by the electrodeposition process. Studies were conducted at different bias potentials, ranging from −0.6 V to −0.9 V, and the change in the droplet shape based on the contact angle and baseline size is presented. The results show that an increase in the magnitude of the bias potential results in a higher amount of contact angle reduction and baseline size increase over the same duration. The electroreduction of the copper oxide present on the surface is attributed to the change in the droplet shape. © 2022

关键词： Chronoamperometry

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Exploration of Real-Time 3-D View Reconstruction Methods

IEEE Transactions on Artificial Intelligence

引用

IEEE Transactions on Artificial Intelligence 2024年第12期5卷 5915-5927页

作者： Agrawal, Arya Sharma, Teena Verma, Nishchal K. Vellore Institute of Technology School of Computer Science and Engineering Vellore632014 India Indian Institute of Technology Mehta Family School of Data Science and Artificial Intelligence Guwahati781039 India Indian Institute of Technology Kanpur Department of Electrical Engineering 208016 India

Real-time 3-D view reconstruction in an unfamiliar environment poses complexity for various applications due to varying conditions such as occlusion, latency, precision, etc. This article thoroughly examines and tests contemporary methodologies addressing challenges in 3-D view reconstruction. The methods being explored in this article are categorized into volumetric and mesh, generative adversarial network based, and open source library based methods. The exploration of these methods undergoes detailed discussions, encompassing methods, advantages, limitations, and empirical results. The real-time testing of each method is done on benchmarked datasets, including ShapeNet, Pascal 3D+, Pix3D, etc. The narrative highlights the crucial role of 3-D view reconstruction in domains such as robotics, virtual and augmented reality, medical imaging, cultural heritage preservation, etc. The article also anticipates future scopes by exploring generative models, unsupervised learning, and advanced sensor fusion to increase the robustness of the algorithms. © 2020 IEEE.

关键词： Generative adversarial networks

来源：评论

学校读者我要写书评

暂无评论

Virtual Synchronous Generator-Based Positive Negative Sequence Control Scheme for Voltage Unbalance Mitigation in Low Inertia Islanded Microgrid 1

Virtual Synchronous Generator-Based Positive Negative Sequen...

引用

1st International Conference on Innovative Sustainable Technologies for Energy, Mechatronics and Smart Systems, ISTEMS 2024

作者： Sinha, Suruchi Ali, Nada Kumar, Deepak Anwar, Shamama Birla Institue of Technology Mesra Electrical and Electronics Engineering Ranchi India Birla Institute of Technology Mesra Computer Science and Engineering Ranchi India

ISBN: (纸本)9798350384246

The depletion of traditional energy sources, particularly fossil fuels, and increasing energy demands have prompted a combination of renewable energy sources (RES), Distributed Generation (DG) units, and the extensive uptake of micro grids are shaping the energy landscape. A micro grid operates either independently or in conjunction with the main power grid. In islanded mode, micro sources manage to supply power to loads while maintaining voltage and frequency within acceptable limits. However, islanded microgrids often face challenges related to poor power quality, with voltage unbalance being an important concern. Also, renewable energy systems lack inertia as they do not have any rotating parts. Therefore, this paper addresses the issue by proposing a positive-sequence (PS) in parallel with the negative sequence (NS) controller for a Voltage-Source Converter (VSC)-based DG unit for voltage unbalance reduction in microgrids. Additionally, to intensify the stability of the system, this paper also introduces a Virtual Synchronous Generator (VSG) control framework, utilizing inverter-interfaced distributed energy resources to impart virtual inertia to the system. The proposed controller's design concept is validated via simulation in Simulink/MATLAB, with the results confirming the efficacy of the controller as demonstrated. © 2024 IEEE.

关键词： Synchronous generators

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：