检索结果-内蒙古大学图书馆

Assessing the Efficacy of Improved Learning in Hourly Global Irradiance Prediction

Computers, Materials & Continua 2023年第11期77卷 2579-2594页

作者： Abdennasser Dahmani Yamina Ammi Nadjem Bailek Alban Kuriqi Nadhir Al-Ansari Salah Hanini Ilhami Colak Laith Abualigah El-Sayed M.El-kenawy Department of Mechanical Engineering Faculty of Science and TechnologyGIDD Industrial Engineering and Sustainable Development LaboratoryUniversity of RelizaneBourmadiaRelizane48000Algeria Laboratory of Biomaterials and Transport Phenomena(LBMPT) University of MedeaUrban PoleMedea26000Algeria Energies and Materials Research Laboratory Faculty of Sciences and TechnologyUniversity of TamanghassetTamanrasset10034Algeria Sustainable Development and Computer Science Laboratory Faculty of Sciences and TechnologyAhmed Draia University of AdrarAdrarAlgeria CERIS Instituto Superior TécnicoUniversidade de LisboaLisbon1049-001Portugal Civil Engineering Department University for Business and TechnologyPristina10000Kosovo Department of Civil Environmental and Natural Resources EngineeringLulea University of TechnologyLulea97187Sweden Engineering and Architecture Faculty Nisantasi UniversityIstanbulTurkey Computer Science Department Prince Hussein Bin Abdullah Faculty for Information TechnologyAl al-Bayt UniversityMafraq25113Jordan Hourani Center for Applied Scientific Research Al-Ahliyya Amman UniversityAmman19328Jordan MEU Research Unit Middle East UniversityAmman11831Jordan Applied Science Research Center Applied Science Private UniversityAmman11931Jordan School of Computer Sciences Universiti Sains MalaysiaPulau Pinang11800Malaysia Department of Computing and Information Systems School of Engineering and TechnologySunway University MalaysiaPetaling Jaya27500Malaysia Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt

Increasing global energy consumption has become an urgent problem as natural energy sources such as oil,gas,and uranium are rapidly running *** into renewable energy sources such as solar energy is being pursued to counter *** energy is one of the most promising renewable energy sources,as it has the potential to meet the world’s energy needs *** study aims to develop and evaluate artificial intelligence(AI)models for predicting hourly global *** hyperparameters were optimized using the Broyden-FletcherGoldfarb-Shanno(BFGS)quasi-Newton training algorithm and STATISTICA *** from two stations in Algeria with different climatic zones were used to develop the *** error measurements were used to determine the accuracy of the prediction models,including the correlation coefficient,the mean absolute error,and the root mean square error(RMSE).The optimal support vector machine(SVM)model showed exceptional efficiency during the training phase,with a high correlation coefficient(R=0.99)and a low mean absolute error(MAE=26.5741 Wh/m^(2)),as well as an RMSE of 38.7045 Wh/m^(2) across all ***,this study highlights the importance of accurate prediction models in the renewable energy,which can contribute to better energy management and planning.

关键词： Renewable energy energy prediction global irradiation artificial intelligence BFGS quasi-Newton training algorithm

来源：评论

学校读者我要写书评

暂无评论

Harnessing Graphene Plasmons by Accessing the Retardation Regime

引用

ACS Applied Materials and Interfaces 2025年第22期17卷 32782-32789页

作者： Zhang, Jiasheng Xing, Qiaoxia Zhao, Tuoyu Wang, Shunjia Ma, Junwei Wang, Chong Wang, Jiajun Xie, Yuangang Huang, Shenyang Song, Chaoyu Wan, Quan Shi, Lei Tao, Zhensheng Shi, Wu Li, Xuesong Zhou, Lei Yan, Hugen State Key Laboratory of Surface Physics Key Laboratory of Micro- and Nano-Photonic Structures Ministry of Education Shanghai Key Laboratory of Metasurfaces for Light Manipulation Department of Physics Fudan University Shanghai 200433 China Inner Mongolia Key Laboratory of Microscale Physics and Atom Innovation School of Physical Science and Technology Inner Mongolia University Hohhot 010021 China State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai 200433 China Zhangjiang Fudan International Innovation Center Fudan University Shanghai 201210 China Centre for Quantum Physics Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) School of Physics Beijing Institute of Technology Beijing 100081 China Beijing Key Lab of Nanophotonics & Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing 100081 China School of Integrated Circuit Science and Engineering Exemplary School of Microelectronics University of Electronic Science and Technology of China Chengdu 611731 China Shenzhen Institute for Advanced Study University of Electronic Science and Technology of China Shenzhen 518110 China

Plasmons in graphene are highly tunable, mainly by leveraging the carrier density and Drude scattering. Here, we introduce another scheme, i.e., accessing the retardation regime (originated from the finite speed of light), to engineer the lifetime and dispersion of plasmons in graphene in the terahertz regime. We find that the retardation regime can be approached by reducing plasmon momentum in artificially stacked multilayer graphene systems with large Drude weight, and this can significantly increase the plasmon lifetime. In addition, an explicit theoretical model along with finite-element simulation was given, consistent with the experimental findings. Our work opens another avenue to manipulate terahertz plasmons in graphene. © 2025 American Chemical Society.

关键词： Drude weight graphene plasmon retardation effects terahertz

来源：评论

学校读者我要写书评

暂无评论

Statistical Analysis of Digital Financial technology Adoption Research

Statistical Analysis of Digital Financial Technology Adoptio...

引用

Science, Engineering and Business for Sustainable Development Goals (SEB-SDG), International Conference on

作者： Temiloluwa Iyanuoluwa Ajibade Olamide Emmanuel Ayodele Samuel-Soma M. Ajibade Nanet A. Goles Johnry P. Dayupay Anthonia Oluwatosin Adediran Department of Business Management Scholar School System Birmingham United Kingdom Department of Banking and Finance Ekiti State University Ado Ekiti Ekiti State Department of Computing and Information Systems School of Engineering and Technology Sunway University Selangor Malaysia Cebu Technological University Moalboal Cebu Philippines Faculty of Architecture and Urban Design Federal University of Uberlandia Uberlandia Brazil

ISBN: (数字)9798350358155

ISBN: (纸本)9798350358162

Digital financial technology adoption (DFTA) studies published in Scopus between 2019 and 2022 were examined in this study. After that, we assessed relevant literature, did bibliometric studies, and examined publication and citation patterns. The statistics showed 2643 citations and 176 publications. DFTA research has gained popularity when time-varying TP and TC values increased gradually. This topic's most popular sources are "articles" and "Sustainability (Switzerland)". A search of DFTA research stakeholders revealed several authors, organizations, and nations. Most famously associated with the University of Johannesburg in South Africa, David Mhlanga has produced more publications than anyone else. The National Natural Science Foundation and other Chinese donors who dominate DFTA research funding contributed to researchers' and affiliations' output. Cluster and hotspot analysis revealed two themes, "Digital financial technology adoption" and "Sustainable Banking Inclusion," and three keywords, Digital financial technology adoption, monetary inclusion, and finance. According to the examined literature, DFTA's effects on international financial stability and GDP growth are understudied. Future research should examine DFTA's environmental impact, long-term profitability, and commercial strategies for low-income and rural communities.

关键词： Productivity Statistical analysis Profitability Bibliometrics Banking Stability analysis Stakeholders

来源：评论

学校读者我要写书评

暂无评论

Bibliographic Exploration of Application of Machine Learning and Artificial Intelligence in Solar Energy

Bibliographic Exploration of Application of Machine Learning...

引用

2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Ajibade, Samuel-Soma M. Bashir, Faizah Mohammed Dodo, Yakubu Aminu Oyebode, Oluwadare Joshua Culpable, Rex V. De La Calzada, Limic M. Adediran, Anthonia Oluwatosin Ajibade, Temiloluwa Iyanuoluwa Sunway University Dept of Computing and Information Systems Selangor Malaysia Istanbul Ticaret Univ Dept of Comp. Engineering Turkey University of Hail Department of Decoration and Interior Design Hail55467 Saudi Arabia Najran University Architectural Engineering Department Najran66426 Saudi Arabia Afe Babalola University Civil and Environmental Engineering Ekiti State Ado-Ekiti Nigeria Cebu Technological University College of Technology Cebu Philippines Cebu Technological University College of Engineering Cebu Philippines Federal University of Uberlandia Faculty of Architecture and Urban Design Brazil Scholar School System Dept of Business Management Birmingham United Kingdom

ISBN: (纸本)9798350358155

Solar energy could mitigate global warming and climate change. Solar energy faces economic, environmental, and technical challenges. Machine learning solves these technical issues. Despite several studies, machine learning in photovoltaics and solar energy is understudied. This study examines publishing patterns and bibliometrics to critically evaluate machine learning applications in photovoltaics and solar energy research. Scopus uses PRISMA. International publishing, citations, and collaboration are high. The Chinese Ministry of Education employs famous scholars like G. E. Georghiou and Haibo Ma. China is most active due to funding schemes like the National Natural Science Foundation and the National Key Research and Development Programme. This study examines publication patterns by country, institution, and funding organisation from 2014 to 2022, spanning topic categories and indicators. Examining author-keyword data to group publishing themes and identify influential journals. Increasing understanding of machine learning applications in photovoltaics and solar energy research. This project will examine the potential for significant development and the hurdles that must be overcome to leverage Cognitive computing's benefits in cancer and tumour research. In response to the rising amount of malware, phishing, and intrusion attacks on global energy and grid infrastructure, photovoltaic and solar energy system cybersecurity may be studied. © 2024 IEEE.

关键词： Malware

来源：评论

学校读者我要写书评

暂无评论

Self-Aligning Depth-regularized Radiance Fields for Asynchronous RGB-D Sequences

arXiv

引用

arXiv 2022年

作者： Huang, Yuxin Yang, Andong Wu, Zirui Chen, Yuantao Yang, Runyi Zhu, Zhenxin Hou, Chao Zhao, Hao Zhou, Guyue AIR Tsinghua University Beijing China Beijing Institute of Technology Beijing China The Research Center for Intelligent Computing Systems Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Beijing China Xi'an University of Architecture and Technology Xi'An China Imperial College London London United Kingdom Beihang University Beijing China The University of Hong Kong Hong Kong

It has been shown that learning radiance fields with depth rendering and depth supervision can effectively promote the quality and convergence of view synthesis. However, this paradigm requires input RGB-D sequences to be synchronized, hindering its usage in the UAV city modeling scenario. As there exists asynchrony between RGB images and depth images due to high-speed flight, we propose a novel time-pose function, which is an implicit network that maps timestamps to SE(3) elements. To simplify the training process, we also design a joint optimization scheme to jointly learn the large-scale depth-regularized radiance fields and the time-pose function. Our algorithm consists of three steps: (1) time-pose function fitting, (2) radiance field bootstrapping, (3) joint pose error compensation and radiance field refinement. In addition, we propose a large synthetic dataset with diverse controlled mismatches and ground truth to evaluate this new problem setting systematically. Through extensive experiments, we demonstrate that our method outperforms baselines without regularization. We also show qualitatively improved results on a real-world asynchronous RGB-D sequence captured by drone. Codes, data, and models will be made publicly available. Copyright © 2022, The Authors. All rights reserved.

关键词： Error compensation

来源：评论

学校读者我要写书评

暂无评论

A differential public PUF design for lightweight authentication 16

A differential public PUF design for lightweight authenticat...

引用

2021 International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, SMACD 2021 and 16th Conference on PhD Research in Microelectronics and Electronics, PRIME 2021

作者： Duan, Shengyu Sai, Gaole School of Computer Engineering and Science Shanghai University Shanghai200444 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology China

ISBN: (纸本)9783800755899

Physical Unclonable Functions (PUFs) have emerged as a promising primitive to provide a hardware keyless security mechanism for integrated circuit applications. Public PUFs (PPUFs) address the crucial PUF vulnerability of requiring databases to store the secrete reference information. This paper investigates one of the PPUF families, differential PPUF (dPPUF), which exploits complexly interacted logic to create time gap between actual execution and simulation, and to prevent simulation attacks. Conventional dPPUFs have high costs. We observe the repressers have large impact on simulation time, but take a great proportion in current dPPUF structure. We thereby present a represser network with specially designed interconnection and shared logic, to maintain a high circuit complexity and to reduce the area cost. We show the proposed dPPUF has similar resilience over simulation attacks as the conventional design. Area cost can be reduced by up to 44%, and thus the proposed design can be used for lightweight authentication. © VDE VERLAG GMBH.

关键词： Authentication

来源：评论

学校读者我要写书评

暂无评论

Communication and Control Co-Design in 6G: Sequential Decision-Making with LLMs

引用

IEEE Network 2024年

作者： Chen, Xianfu Wu, Celimuge Shen, Yi Ji, Yusheng Yoshinaga, Tsutomu Ni, Qiang Zarakovitis, Charilaos C. Zhang, Honggang Shenzhen CyberAray Network Technology Co. Ltd China Chinese Academy of Sciences Shanghai Advanced Research Institute China Meta-Networking Research Center China The University of Electro-Communications Graduate School of Informatics and Engineering Tokyo Japan National Institute of Informatics Information Systems Architecture Research Division Tokyo Japan Lancaster University School of Computing and Communications Ukraine AXON Logic Greece City University of Macau Faculty of Data Science Macau China China

This article investigates a control system within the context of sixth-generation wireless networks. The remote control performance optimization confronts the technical challenges that arise from the intricate interactions between communication and control sub-systems, asking for a co-design. Considering the system dynamics, we formulate the sequential co-design decision-makings of communication and control over a discrete time horizon as a Markov decision process, for which a practical offline learning framework is proposed. Our proposed framework integrates large language models into the elements of reinforcement learning. We present a case study on the age of semantics-aware communication and control co-design to showcase the potential of our proposed learning framework. Furthermore, we discuss the open issues remaining to make our offline learning framework feasible for real-world implementations and highlight the research directions for future explorations. © 1986-2012 IEEE.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

On the Assessment of the Image Model of 3D Models Synthesized by Optical-Software-Technical systems

On the Assessment of the Image Model of 3D Models Synthesize...

引用

2020 Moscow Workshop on Electronic and Networking Technologies, MWENT 2020

作者： Roganov, Vladimir Mikheev, Mikhail Babich, Michail Butaev, Mikhail Esimova, Nurzipa Kukuchkina, Olga Penza State Technological University Department of Information Technology and Systems Penza440039 Russia NPP Rubin JSC Russia Penza Russia Penza State University of Architecture and Construction Department of Information Computing and Systems Penza440028 Russia

ISBN: (数字)9781728125725

ISBN: (纸本)9781728125718

A qualitative improvement in the technical characteristics of the optical-software-Technical systems for the synthesis of 3D images allowed us to create simulators of the visual environment that allow you to train visual landing on the model of the runway. The authors of this article conducted research on ergatic pseudo-volume optical-software-Technical systems that synthesize a 3D image for a person. The peculiarity of these systems is that the individual components of the human visual analyzer are included in the technological process for the synthesis of 3D images. This is achieved through the use of special optical devices. The inclusion of individual parts of the human visual analyzer suggests that people may appear who do not see the 3D image. To this end, studies have been conducted of single-channel glasses-free systems for modeling 3D images and two-channel stereo systems with disparity glasses. The research results showed that in order to achieve a positive effect when using ergatic optical-program-Technical systems for 3-image synthesis, it is necessary to train a person to see a 3-model with the quality that allows training the eye. © 2020 IEEE.

关键词： Glass

来源：评论

学校读者我要写书评

暂无评论

Artificial Intelligence for Wireless Communications: The InSecTT perspective

IEEE Open Journal of the Industrial Electronics Society

引用

IEEE Open Journal of the Industrial Electronics Society 2025年 6卷 802-819页

作者： Robles, Ramiro Samano Javanmardi, Gowhar Pilz, Christoph Kwapisiewicz, Przemyslaw Rzymowski, Mateusz Kulas, Lukasz Davoli, Luca Belli, Laura Ferrari, Gianluigi Wenning, Bernd-Ludwig Gonca, Bugra Prasad, R. Venkatesha Simha, Ashutosh Kiviranta, Markku Moilanen, Ilkka Robinson, Sean Cirill, Gennaro Soyturk, Mujdat Bostanci, Yavuz Selim Hormann, Leander B. Research Centre in Real-time and Embedded Computing Systems Porto Portugal University of Porto Faculty of Engineering Portugal Virtual Vehicle Research GmbH Graz Austria Gdansk University of Technology Poland Lab Department of Engineering and Architecture Parma Italy Rome Italy Munster Technological University Cork Ireland NuRD Innovation Center Turkey Technical University of Delft Netherlands VTT Research Corporation Finland F-Secure Corporation Finland Marmara University Istanbul Turkey 1Linz Center of Mechatronics GmbH Linz Austria

This paper presents an overview of how Artificial Intelligence (AI) and edge technology have been used to improve wireless connectivity in multiple industrial Use Cases (UCs) of the EU project "Intelligent Secure Trustable Things"(InSecTT). We present a brief introduction of the InSecTT framework for crossdomain architecture design, which targets UCs assisted by reusable and-or interoperable technical Building Blocks (BBs). These BBs constitute the construction bricks containing AI and supporting components that were used to build different UCs. The framework consists of multiple stages based on the processing of UC-BB requirements (RQs). These stages include: i) collection, ii) harmonization, iii) refinement, iv) classification, v) architecture alignment, and vi) functionality modeling of RQs. The most relevant results of these stages are discussed here, with emphasis on the need for a refined granularity of technical components with common functionalities named sub-building blocks (SBBs), where collaboration and cross-domain reusability were optimized. The design process shed light on how AI and SBBs were implemented across different layers and entities of our reference architecture for the Internet-of-Things (IoT), including the interfaces used for information exchange. This detailed interface analysis is expected to reveal issues such as bottlenecks, constraints, vulnerabilities, scalability problems, security threats, etc. This will, in turn, contribute to identifying design gaps in AI-enabled IoT systems. The paper summarizes the SBBs related to wireless connectivity, including a general description, implementation issues, comparison of results, adopted interfaces, and conclusions across domains. © 2020 IEEE.

关键词： Reusability

来源：评论

学校读者我要写书评

暂无评论

A Deep-Learning-Based Method for Automated Detection and Characterization of Cracks in Drainage Pipes

SSRN

引用

SSRN 2024年

作者： Yang, Chenhao Zheng, Feifei Kapelan, Zoran Savic, Dragan Pan, Gang Feng, Yu Ma, Yiyi College of Civil Engineering and Architecture Zhejiang University China Department of Water Management Delft University of Technology Netherlands Centre for Water Systems University of Exeter North Park Road ExeterEX4 4QF United Kingdom KWR Water Research Institute Netherlands Faculty of Civil Engineering University of Belgrade Serbia College of Intelligence and Computing Tianjin University China Cartography and Visual Analytics Technical University of Munich Germany

Currently, the interpretation of closed-circuit television images for structural defect analysis of drainage pipes is mostly conducted manually, which is labor-intensive. In this study, an integrated deep-learning-based algorithm is proposed, namely the Crack Detection and Characterization (CDC) method, which can detect and quantify (e.g., length) pipe cracks. The CDC algorithm is verified by images of pipe cracks both artificially created in the laboratory and from real filed inspection. From the results, the CDC algorithm with the DeepLab V3+ crack detection model performs best for both the laboratory and field cases. The results also show the significant effect of the deblurring process in improving the accuracy of the CDC algorithm. The process increases the mean intersection over union (mIoU) of the calculated results by 1.2%. This study offers an innovative way of detection and characterization of drainage pipe cracks, capable of more accurate pipe defect assessment compared with traditional work. © 2024, The Authors. All rights reserved.

关键词： Crack detection

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：