检索结果-内蒙古大学图书馆

SSRN 2024年

作者： Qi, Yaping Hu, Dan Zheng, Ming Jiang, Yucheng Chen, Yong P. Tohoku University Sendai980-8577 Japan Department of Engineering Science Faculty of Innovation Engineering Macau University of Science and Technology Av. Wai Long 999078 China Institute of Physics and Astronomy Villum Center for Hybrid Quantum Materials and Devices Aarhus University Aarhus-C8000 Denmark School of Materials Science and Physics China University of Mining and Technology Xuzhou221116 China Jiangsu Key Laboratory of Micro and Nano Heat Fluid Flow Technology and Energy Application School of Physical Science and Technology Suzhou University of Science and Technology Jiangsu Suzhou215009 China Department of Physics and Astronomy Elmore Family School of Electrical and Computer Engineering Birck Nanotechnology Center Purdue Quantum Science and Engineering Institute Purdue University West LafayetteIN47907 United States

Two-dimensional (2D) materials have attracted extensive attention due to their unique characteristics and application potentials. Raman spectroscopy, as a rapid and non-destructive probe, exhibits distinct features and holds notable advantages in the structural characterization of 2D materials. However, traditional data analysis of Raman spectra relies on manual interpretation and feature extraction, which are both time-consuming and subjective. In this work, we employ deep learning techniques, including classificatory and generative deep learning, to assist the analysis of Raman spectra of typical 2D materials. For the limited and unevenly distributed Raman spectral data, we propose a data augmentation approach based on Denoising Diffusion Probabilistic Models (DDPM) to augment the training dataset and construct a four-layer Convolutional Neural Network (CNN) for 2D material classification. The proposed CNN model achieves an impressive accuracy of 98.8%. Experiments illustrate the effectiveness of DDPM in addressing data limitations and significantly improved the performance of the classification model. Notably, the DDPM-CNN method shows high reliability, with 100% classification accuracy. Our work demonstrates the practicality of deep learning-assisted Raman spectroscopy for high-precision recognition and classification of 2D materials, presenting a promising avenue for rapid and automated materials analysis via spectroscopy. © 2024, The Authors. All rights reserved.

关键词： Convolutional neural networks

来源：评论

学校读者我要写书评

暂无评论

Finding hardness reductions automatically using SAT solvers

arXiv

引用

arXiv 2024年

作者： Bergold, Helena Scheucher, Manfred Schröder, Felix Department of Computer Science Freie Universität Berlin Germany Institut für Mathematik Technische Universität Berlin Germany Department of Applied Mathematics Faculty of Mathematics and Physics Charles University Prague Czech Republic

In this article, we show that the completion problem, i.e. the decision problem whether a partial structure can be completed to a full structure, is NP-complete for many combinatorial structures. While the gadgets for most reductions in literature are found by hand, we present an algorithm to construct gadgets in a fully automated way. Using our framework which is based on SAT, we present the first thorough study of the completion problem on sign mappings with forbidden substructures by classifying thousands of structures for which the completion problem is NP-complete. Our list in particular includes interior triple systems, which were introduced by Knuth towards an axiomatization of planar point configurations. Last but not least, we give an infinite family of structures generalizing interior triple system to higher dimensions for which the completion problem is NP-complete. Copyright © 2024, The Authors. All rights reserved.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Technical and economic feasibility assessment for hybrid energy system electricity and hydrogen generation: A case study

引用

Global Energy Interconnection 2025年第1期8卷 62-81页

作者： Paul C.Okonkwo Samuel Chukwujindu Nwokolo El Manaa Barhoumi Ibrahim B.Mansir Usman Habu Taura Barun Kumar Das Ahmed Bahgat Radwan Wilfred Emori Ephraim Bonah Agyekum Khalid Al Kaaf Mechanical&Mechatronics Engineering Department Dhofar UniversitySalalah 211the Sultanate of Oman Department of Physics Faculty of Physical SciencesUniversity of CalabarCalabar PMB 1115Nigeria Electrical&Computer Engineering Department Dhofar UniversitySalalah 211the Sultanate of Oman Department of Mechanical Engineering Prince Sattam bin Abdulaziz UniversityAl-Kharj 11942Saudi Arabia Centre for Energy Research and Training Ahmadu Bello UniversityPMB 1045ZariaNigeria Oil&Gas Research Center Sultan Qaboos UniversityMuscat 123the Sultanate of Oman Department of Mechanical Engineering Rajshahi University of Engineering&TechnologyRajshahi 6204Bangladesh Center for Advanced Materials Qatar UniversityDoha 2713Qatar School of Materials Science and Engineering Sichuan University of Science and EngineeringZigong 643000PR China Department of Nuclear and Renewable Energy Ural Federal University Named after the First President of Russia BorisEkaterinburg 620002Russia Western Caspian University Baku AZ1001Azerbaijan Department of Civil and Environmental Engineering Dhofar UniversitySalalah 211the Sultanate of Oman

Hydrogen is emerging as a promising alternative to fossil fuels in the transportation *** study evaluated the feasibility of estab-lishing hydrogen refueling stations in five cities in Oman,Duqm,Haima,Sur,Al Buraymi,and Salalah,using Hybrid Optimization of Multiple Electric Renewables(HOMER)*** hybrid energy systems,photovoltaic-wind turbine-battery,photovoltaic-battery,and wind turbine-battery were analyzed for each *** indicated that Duqm offers the lowest net present cost(NPC),levelized cost of energy,and levelized cost of hydrogen,making it the most cost-effective ***,Sensitivity analysis showed that as the life of electrolyzer increases during operation,the initial capital expenditure is distributed over a longer operational period,leading to a reduction in the *** so,renewable energy systems produced no emissions which supports Oman’s mission *** comprehensive analysis confirms the feasibility of establishing a hydrogen refueling station in Duqm,Oman,and highlights advanced optimization techniques’superior capability in designing cost-effective,sustainable energy systems.

关键词： Cities Economic indicator Hydrogen production Optimization Solar

来源：评论

学校读者我要写书评

暂无评论

An advanced and secure framework for conducting online examination using blockchain method

Cyber Security and Applications

引用

Cyber Security and Applications 2023年 1卷

作者： Sattar, Md Rahat Ibne Efty, Md. Thowhid Bin Hossain Rafa, Taiyaba Shadaka Das, Tusar Samad, Md Sharif Pathak, Abhijit Khandaker, Mayeen Uddin Ullah, Md. Habib Department of Computer Science and Engineering BGC Trust University Bangladesh Chattogram Bangladesh Centre for Applied Physics and Radiation Technologies School of Engineering and Technology Sunway University Selangor Bandar Sunway 47500 Malaysia Department of General Educational Development Faculty of Science and Information Technology Daffodil International University DIU Rd Dhaka 1341 Bangladesh Department of Physics Faculty of Science and Technology American International University-Bangladesh Dhaka 1229 Bangladesh

Nowadays, the online platform has been used by many educational institutions, to conduct tests, especially for secondary to tertiary level students. The most popular online test program is run by providing a user id and password to the candidates, and subsequently, they log in to the given web page to answer the questions. However, this system has a lot of bugs, the password can be misused followed by cheating in the test. This shows the importance of a secure system being implemented to avoid such a problem. This paper presents a blockchain framework that secures the online examination system. The proposed framework has been used to secure a data management system that connects to existing educational data. Institutions can simply compile their data history without requiring a copy from the central servers. The proposed blockchain framework improves data security and removes any potential cheating between users or third-party institutions that access applications and services. In this regard, this study provides a secured framework for conducting and evaluating subject tests to ensure consistency between student and server, and secure delivery of questionnaire from the server. © 2022

关键词： Artificial intelligence Blockchain IP-based login Online exam Proctor supervision RDP

来源：评论

学校读者我要写书评

暂无评论

A Parameterized Generative Adversarial Network Using Cyclic Projection for Explainable Medical Image Classifications

A Parameterized Generative Adversarial Network Using Cyclic ...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Xiangyu Xiong Yue Sun Xiaohong Liu Chan-Tong Lam Tong Tong Hao Chen Qinquan Gao Wei Ke Tao Tan Faculty of Applied Sciences Macao Polytechnic University John Hopcroft Center (JHC) for Computer Science Shanghai Jiao Tong University College of Physics and Information Engineering Fuzhou University Department of Mathware Jiangsu JITRI Sioux Technologies Co. Ltd

Although current data augmentation methods are successful to alleviate the data insufficiency, conventional augmentation are primarily intra-domain while advanced generative adversarial networks (GANs) generate images remaining uncertain, particularly in small-scale datasets. In this paper, we propose a parameterized GAN (ParaGAN) that effectively controls the changes of synthetic samples among domains and highlights the attention regions for downstream classification. Specifically, ParaGAN incorporates projection distance parameters in cyclic projection and projects the source images to the decision boundary to obtain the class-difference maps. Our experiments show that ParaGAN can consistently outperform the existing augmentation methods with explainable classification on two small-scale medical datasets.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Comparative Assessment between PD and Fuzzy Control for a Novel Unmanned Aerial Vehicle Inspired by Owls 21

Comparative Assessment between PD and Fuzzy Control for a No...

引用

21st IEEE International Conference on sciences and Techniques of Automatic Control and computer Engineering, STA 2022

作者： Boucetta, Rahma Romaniuk, Pawel Saeed, Khalid National Engineering School of Sfax University of Sfax Sfax Lab-STA LR11ES50 Faculty of Sciences of Sfax Department of Physics Soukra Road Sfax Tunisia Bialystok University of Technology Faculty of Computer Science Bialystok Poland Universidad de la Costa Barranquilla Colombia

ISBN: (纸本)9781665482615

This paper proposes a comparative assessment between PD and fuzzy controls applied to an autonomous aerial vehicle inspired by owls to accomplish a silent and stable flight. Firstly, the owls' flight is analysed to determine different components of a particular trirotor drone. Afterward a detailed study, the mathematical model is developed using kinematics and aerodynamics laws. Next, the theoretical model is employed to synthesize a control strategy based on PD and then on fuzzy concepts to stabilize the drone in a hovering situation with the adequate altitude and attitude. The fuzzy controller is compared to the PD to display its performances in terms of precision and trajectory tracking. © 2022 IEEE.

关键词： Aerodynamics

来源：评论

学校读者我要写书评

暂无评论

Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery

Enhanced Explanations for Knowledge-Augmented Clustering usi...

引用

International Conference on Data science and Advanced Analytics (DSAA)

作者： Maciej Szelążek Dan Hudson Szymon Bobek Grzegorz J. Nalepa Martin Atzmueller Faculty of Applied Computer Science AGH University Kraków Poland Semantic Information Systems Group Osnabrück University Osnabrück Germany Jagiellonian Human-Centered Artificial Intelligence Laboratory Mark Kac Center for Complex Systems Research Institute of Applied Computer Science Jagiellonian University Kraków Poland German Research Center for AI (DFKI) Osnabrück Germany

Contemporary machine learning techniques are capable of extracting complex structure from data in a way that complements or exceeds manual examination, yet, as is welldocumented, many of these techniques suffer from a lack of interpretability. This paper extends previous work on explainable and interpretable machine learning, in particular on the ‘Knowledge-Augmented Clusters (KnAC)’ approach, allowing human users to benefit from uninterpretable ‘black box’ models to extract structure from datasets by clustering and to make this better understandable. One of the key functions of KnAC is to relate expert-annotated clusters to clusters that have been identified by a machine learning method, and then provide a comprehensible explanation, thus clarifying the relationships that KnAC discovered. Our novel contribution in this paper is to examine the usefulness of subgroup discovery as a way to generate comprehensible explanations within KnAC, and to compare this to the existing approach based on the XAI algorithm Anchors through a detailed evaluation. We find that the approach using subgroup discovery performs equally or better in our extensive experimentation testing this on six different datasets.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Multi-state MRAM cells for hardware neuromorphic computing

arXiv

引用

arXiv 2021年

作者： Rzeszut, Piotr Chęciński, Jakub Brzozowski, Ireneusz Ziętek, Slawomir Skowroński, Witold Stobiecki, Tomasz AGH University of Science and Technology Institute of Electronics Al. Mickiewicza 30 Kraków30-059 Poland AGH University of Science and Technology Faculty of Physics and Applied Computer Science Al. Mickiewicza 30 Kraków30-059 Poland

Magnetic tunnel junctions (MTJ) have been successfully applied in various sensing application and digital information storage technologies. Currently, a number of new potential applications of MTJs are being actively studied, including high-frequency electronics, energy harvesting or random number generators. Recently, MTJs have been also proposed in designs of a new platforms for unconventional or bio-inspired computing. In the present work, it is shown that serially connected MTJs forming a multi-state memory cell can be used in a hardware implementation of a neural computing device. A behavioral model of the multi-cell is proposed based on the experimentally determined MTJ parameters. The main purpose of the mutli-cell is the formation of the quantized weights of the network, which can be programmed using the proposed electronic circuit. Mutli-cells are connected to CMOS-based summing amplifier and sigmoid function generator, forming an artificial neuron. The operation of the designed network is tested using a recognition of the hand-written digits in 20 × 20 pixel matrix and shows detection ratio comparable to the software algorithm, using the weight stored in a multi-cell consisting of four MTJs or more. © 2021, CC BY-NC-ND.

关键词： MRAM devices

来源：评论

学校读者我要写书评

暂无评论

Constraining the Gravitational Wave Speed in the Early Universe via Gravitational Cherenkov Radiation

arXiv

引用

arXiv 2025年

作者： Delgado, Paola C.M. Ganz, Alexander Lin, Chunshan Thériault, Roxane CEICO FZU - Institute of Physics of the Czech Academy of Sciences Na Slovance 1999/2 Prague182 00 Czech Republic Institute for Theoretical Physics Leibniz University Hannover Appelstraße 2 Hannover30167 Germany Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Krakow30-348 Poland

Scalar particles traveling faster than a subluminal gravitational wave generate gravitons via gravitational Cherenkov radiation. In this paper, we investigate graviton production by the primordial plasma within the framework of modified gravity in the early Universe, generating a relic graviton background. We find that for the minimal model, where only the speed of gravitational waves is modified and a standard model plasma minimally couples to gravity, the relic graviton background can be enhanced by several orders of magnitude, but still agrees with the Big Bang Nucleosynthesis (BBN) bound in most cases. Moreover, we also find that for Horndeski theories, such as Galileon theory, the relic background produced by the thermalized scalar field can reach significant amplitudes, exceeding the BBN bound for a region of the parameter space. By requiring the relic graviton background to remain consistent with the BBN constraint, we derive limits on the gravitational wave speed at early times in these modified gravity theories. Copyright © 2025, The Authors. All rights reserved.

关键词： Gravitational effects

来源：评论

学校读者我要写书评

暂无评论

Strong-Field Double Ionization in a Three-Electron Atom: Momentum Distribution Analysis

arXiv

引用

arXiv 2023年

作者： Efimov, Dmitry K. Maksymov, Artur Zakrzewski, Jakub Prauzner-Bechcicki, Jakub S. Institute of Theoretical Physics Faculty of Fundamental Problems of Technology Wroclaw University of Science and Technology Wroclaw50-370 Poland Institute of Theoretical Physics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Stanislawa Lojasiewicza 11 Kraków30-348 Poland Instytut Fizyki Teoretycznej Wydzial Fizyki Astronomii i Informatyki Stosowanej Uniwersytet Jagielloński ulica Stanislawa Lojasiewicza 11 Kraków30-348 Poland Mark Kac Center for Complex Systems Research Jagiellonian University Stanislawa Lojasiewicza 11 Kraków30-348 Poland Jagiellonian University Faculty of Physics Astronomy and Applied Computer Science Marian Smoluchowski Institute of Physics Lojasiewicza 11 Krakow30-348 Poland

We study strong-field double ionization in a three-electron atom by applying a simplified, reduced-dimensionality model with three active electrons. The influence of the spin-induced symmetry of the spatial part of the wavefunction on the final two-photoectron momentum distribution is discussed. We identify partial momentum distributions originating from different sets of spins of outgoing electrons providing in this way a quantum support connection between V-structure and direct ionization typically explained classically. Changes in the momentum distribution with increasing field amplitude obtained in our simplified model are shown to be well-correlated with experimental data known from the literature. The possible relation between the observed dependencies and different ionization mechanisms is discussed. © 2023, CC BY.

关键词： Ionization

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：