检索结果-内蒙古大学图书馆

European Conference on Power Electronics and Applications

作者： Xin Wang Jason Atkin Seang Shen Yeoh Serhiy Bozhko The Department of Electrical and Electronic Engineering Faculty of Engineering University of Nottingham Nottingham UK Computational Optimisation and Learning Lab School of Computer Science University of Nottingham Nottingham UK

ISBN: (数字)9798350364446

ISBN: (纸本)9798350364453

The new generation of aircraft will experience increasing electrical power demands because of the more electric trends and advances in recent years. Adopting higher voltage levels is widely discussed for More Electric Aircraft (MEA) Power Distribution Systems (PDSs) to efficiently deliver the increased power ratings and reduce the system weight. However, higher voltage levels also indicate the risk of electrical insulation failures. Hence, it is essential to select optimised voltage levels for onboard PDSs considering the trade-offs. In addition, the relationship between the PDS weight/efficiency and voltage levels is complex rather than linear, resulting in infeasibility issues when optimising voltage levels. This study proposes a voltage optimisation method based on selecting among a set of components, i.e., converters and cables, for onboard DC PDSs. Moreover, to improve feasibility, the Integrated Converter Component (ICC) concept is proposed to combine each converter with its lightest input/output cables as an integrated block. Hence, the optimal bus voltages can be decided by selecting the lightest and most efficient ICCs while meeting the power delivery and voltage conversion requirements.

关键词： Insulation Power demand Power distribution Europe Optimization methods Voltage Market research Energy efficiency Aircraft Cables

来源：评论

学校读者我要写书评

暂无评论

Ultra-Low-Power Graphene-Nanoribbon-Based Current-Starved Ring Oscillator

Ultra-Low-Power Graphene-Nanoribbon-Based Current-Starved Ri...

引用

International Conference on Semiconductor

作者： F.-S. Dumitru M. Enachescu A. Antonescu N. Cucu-Laurenciu S. Cotofana Devices Circuits and Architectures Department Faculty of Electronics Telecommunications and Information Technology University Politehnica of Bucharest Bucharest Romania High Energy Physics Department IMAP Radboud University The Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology The Netherlands

ISBN: (数字)9798350352078

ISBN: (纸本)9798350352085

Identifying methods to further push the boundaries of existing low-power designs has gained new traction, driven by the wide-scale use of large language models. Graphene is well-suited for ultra-low-power nano-electronics due to its exceptional characteristics like ballistic transport, flexibility, and bio-compatibility. In this paper we investigate the feasibility of using ultra-low-voltage GNR structures, in conjunction with power reduction techniques to implement a GNR-based current-starved ring oscillator. By exploiting their low operating voltage and attofarad range intrinsic capacitances we achieve a 1.89 x higher output frequency while simultaneously reducing the power consumption by 553.8 x and achieving a 812 x higher power efficiency.

关键词： Ring oscillators Electric potential Power demand Large language models Graphene Voltage Logic gates FinFETs Capacitance Topology

来源：评论

学校读者我要写书评

暂无评论

Impact of Finger Type in Contactless Fingerprint Verification

引用

Procedia computer science 2024年 246卷 3928-3937页

作者： Karama Abdeljabbar Islem Jarraya Tarek M. Hamdani Adel M. Alimi REGIM-Laboratory—REsearch Groups in Intelligent Machines National Engineering School of Sfax (ENIS) Sfax Tunisia Higher Institute of Computer Science Mahdia (ISIMa) University of Monastir Tunisia Department of Electrical and Electronic Engineering Science Faculty of Engineering and the Built Environment University of Johannesburg South Africa

Contactless fingerprint authentication has gained popularity as a field of research in biometrics in recent years. Unlike traditional fingerprint recognition systems that require direct contact of the person’s finger with the sensor, contactless fingerprint systems offer several advantages, among them ease of capture and cost-effectiveness. Despite the progress made in this field, poor contrast, background noise, and limited image information continue to pose difficulties for fingerprint recognition in contactless environments. Furthermore, the number of images in published fingerprint biometric datasets for each person is restricted, and there is insufficient data for efficient training. Nevertheless, Convolutional Neural Network (CNN) architectures have been widely used, necessitating large databases. To address these issues, this paper introduces a Siamese network designed for the purpose of identity Verification, using the contactless thumb fingerprint modality to enhance recognition results. The Siamese network is able to extract pertinent features from noisy images with low contrast and limited information, even if they have limited information and low contrast. Additionally, this work proposes the use of the contactless thumb fingerprint modality instead of the contactless index fingerprint modality, which is more commonly used in related works. Consequently, the Mobile FingerPrint (MFP) dataset is introduced and constructed for evaluation. Experimental results demonstrate the efficiency of the proposed method, achieving an accuracy of 98.68% for thumb fingerprint Verification.

关键词： Contactless Fingerprint Authentication Thumb Fingerprint Deep Learning Siamese Network Biometric Verification

来源：评论

学校读者我要写书评

暂无评论

Triple Band Antenna Using Superstate with Double Substrate for Wireless Applications 26

Triple Band Antenna Using Superstate with Double Substrate f...

引用

26th International Conference on computer and Information Technology, ICCIT 2023

作者： Uddin, Md. Kutub Hossen, Shawon Alam, Touhidul Islam, Mohammad Tariqul Alam, Mohammed Shamsul Hakim, Mohammad Lutful Institut Perubahan Iklim Selangor Bangi Malaysia International Islamic University Chittagong Department of Electronic and Telecommunication Engineering Chittagong4318 Bangladesh Universiti Kebangsaan Malaysia Faculty of Engineering and Built Environment Department of Electrical Electronic and Systems Engineering Selangor Bangi Malaysia International Islamic University Chittagong Department of Computer Science and Engineering Chittagong4318 Bangladesh

ISBN: (纸本)9798350359015

A multiband antenna is a good choice to keep the device as compact as possible. This study introduces a tripleband antenna that is well-suited for 5G New Radio applications, satellite communications, and WiMAX. The antenna design has a two-layer substrate, including a ring-slotted rectangular superstate. To meet the design requirements, a rectangular superstate was used to provide the antenna with its triple-band capabilities. The antenna's triband capabilities come from its rectangular superstate, constructed using a ring slot at every antenna's four patch corners. In addition, it is advised and used to employ two FR-4 substrates that are 1.5 millimeters each to improve the antenna's efficacy substantially. The three frequencies shown by the results of the antenna modeling cover the frequency range used by 5G NR service operations: 4.780 GHz, 5.50 GHz, and 10.75 GHz. In each operational range, the measured reflection coefficient has a value below -10 dB at the frequency center, while the peak gains surpass 7 dBi. Nevertheless, the antennas provided in this context exhibit a broad spectrum of applications within the realm of wireless communication. © 2023 IEEE.

关键词： 5G Double substrate Multiband superstate WiMAX

来源：评论

学校读者我要写书评

暂无评论

NiaAML2: An Improved AutoML Using Nature-Inspired Algorithms 12th

NiaAML2: An Improved AutoML Using Nature-Inspired Algorithms

引用

12th International Conference on Advances in Swarm Intelligence, ICSI 2021

作者： Pečnik, Luka Fister, Iztok Fister, Iztok Faculty of Electrical Engineering and Computer Science Koroška ul. 46 Maribor2000 Slovenia

ISBN: (纸本)9783030788100

Using machine learning methods in the real-world is far from being easy, especially because of the number of methods on the one hand, and setting the optimal values of their parameters on the other. Therefore, a lot of so-called AutoML methods have emerged nowadays that also enable automatic construction of classification pipelines to users, who are not experts in this domain. In this study, the NiaAML2 method is proposed that is capable of constructing the classification pipelines using nature-inspired algorithms in two phases: pipeline construction, and hyper-parameter optimization. This method improves the original NiaAML capable of this construction in one phase. The algorithm was applied to four UCI ML datasets, while the obtained results encouraged us to continue with the research. © 2021, Springer Nature Switzerland AG.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

A new rung orthopair fuzzy SIR method with a multi-criteria decision-making approach

引用

Granular Computing 2024年第2期9卷 1-18页

作者： Shahzadi, Gulfam Luqman, Anam Shahzadi, Sundas Deveci, Muhammet Department of Mathematics University of Management and Technology Sialkot Campus Pakistan Division of Science and Technology Department of Mathematics University of Education Lahore Pakistan Department of Industrial Engineering Turkish Naval Academy National Defence University Tuzla Turkey Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon

In comparison to Fermatean, Pythagorean, and intuitionistic fuzzy sets, $$(p, q)-$$ rung orthopair fuzzy sets have a wider range of displaying membership grades and can therefore provide more uncertain situations. In this work, the accuracy of $$(p, q)-$$ rung orthopair fuzzy numbers is investigated using sine trigonometric functions. First, the $$(p, q)-$$ rung orthopair fuzzy data are extended to the sine trigonometric operational laws (STOLs). In this study, we suggest a novel $$(p, q)-$$ rung orthopair fuzzy superiority and inferiority ranking (SIR) approach to address the uncertainty group multiple-attribute decision-making (MADM) problem. This strategy handles unclear information, incorporates individual perspectives into group viewpoints, makes conclusions based on many criteria, and ultimately structures a specific decision map. The proposed SIR method utilizes two kinds of information, the superiority and the inferiority information, to obtain two types of flows, including the superiority and the inferiority flows. Then, these flows are utilized to rank the set of alternatives partially or completely. Using sine trigonometric functions and the flexibility of $$(p, q)-$$ rung orthopair fuzzy sets, novel STOLs have been created. Further, we conduct a case study of the selection of the best journal to demonstrate the feasibility and applicability of the developed technique. The main contributions of this article are as follows: (1) The aggregation operators for $$(p, q)-$$ rung orthopair fuzzy numbers and their characteristics have been studied under sine trigonometric functions. (2) The SIR approach has been developed under $$(p, q)-$$ rung orthopair fuzzy sets. The proposed technique is explained through a step-by-step Algorithm. (3) Then, a case study of journal selection is considered to apply the developed technique. (4) The results obtained have been compared with the ranking obtained through various existing techniques.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Strategic Decision Making in the AI Age: Examining Neural Network Models in Business Management

Strategic Decision Making in the AI Age: Examining Neural Ne...

引用

2024 International Conference on Communication, computer sciences and engineering, IC3SE 2024

作者： Jamalpur, Bhavana Sarkar, Prithu Krishna, M. Hari Lourens, Melanie Lakshmi, K. Shantha Singh, Navdeep School Of Computer Science And Artificial Intelligence Sr University Telangana Warangal India Amity School Of Communication Amity University Kolkata India Institute Of Aeronautical Engineering Dundigal Hyderabad India Durban University Of Technology Faculty Of Management Sciences South Africa M. Kumarasamy College Of Engineering Department Of Mathematics Karur India Lovely Professional University Phagwara India

ISBN: (纸本)9798350366846

Over the last 10 years, developments in machine learning techniques and artificial intelligence (AI) tools have garnered interest from corporations and contemporary literature. However, even if AI technology has a lot of promise to resolve problems, there are still issues with its practical use and a dearth of knowledge on how to use it strategically to generate commercial value. Businesses can quickly gather and analyse large quantities of data with the help of AI-powered systems, which facilitates speedier and better-informed decision-making. All things considered, incorporating AI into business decision-making has the power to propel organisational performance and influence how business is conducted in the future. © 2024 IEEE.

关键词： Neural network models

来源：评论

学校读者我要写书评

暂无评论

PSO Optimization Algorithm for QoS Enhancement in IoT-Enabled WSNs

PSO Optimization Algorithm for QoS Enhancement in IoT-Enable...

引用

International Conference on Artificial Intelligence and Smart Environment, ICAISE 2022

作者： Benelhouri, Abdelkader Idrissi-Saba, Hafida Antari, Jilali Laboratory of Metrology and Information Processing Faculty of Science Ibn Zohr University B.P. 8106 Agadir Morocco Laboratory of Computer Systems Engineering Mathematics and Applications Ibn Zohr University Polydisciplinary FacultyB.P. 271 Taroudant83000 Morocco

ISBN: (纸本)9783031262531

Through the recent progress in the field of microelectronics and the emergence of wireless communication technologies, wireless sensor networks (WSNs) have seen the light of day. However, one of the major problems of this type of networks is the energy efficiency. The overage is also a key problem as it determines the ability of a set of sensors to monitor a geographic area efficiently. In order to improve network deployment and throughput, this paper proposes a PSO-based approach to deploy nodes and select cluster heads efficiently. The suggested work has undergone significant QoS experimentation in a variety of scenarios. The results of this algorithm are investigated by implementing the Mod-LEACH algorithm in the data routing process. It is concluded that the PSO based clustering algorithm enhances the network throughput by improving nodes emplacement. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Microelectronics

来源：评论

学校读者我要写书评

暂无评论

Exact algebraic blind source separation using side information 28

Exact algebraic blind source separation using side informati...

引用

28th European Signal Processing Conference, EUSIPCO 2020

作者： Weiss, Amir Yeredor, Arie Dept. of Computer Science and Applied Mathematics Weizmann Institute of Science Israel School of Electrical Engineering Tel-Aviv University Israel

ISBN: (纸本)9789082797053

Classical Blind Source Separation (BSS) methods rarely attain exact separation, even under noiseless conditions. In addition, they often rely on particular structural or statistical assumptions (e.g., mutual independence) regarding the sources. In this work we consider a (realistic) "twist" in the classical linear BSS plot, which, quite surprisingly, not only enables perfect separation (under noiseless conditions), but is also free of any assumptions (except for regularity assumptions) regarding the sources or the mixing matrix. In particular, we consider the standard linear mixture model, augmented by a single ancillary, unknown linear mixture of some known linear transformations of the sources. We derive a closed-form expression for an exact algebraic solution, free of any statistical considerations whatsoever, attaining perfect separation in the noiseless case. In addition, we propose a well-behaved solution for the same model in the presence of noise or other measurement inaccuracies. Our derivations are corroborated by several simulation results. © 2021 European Signal Processing Conference, EUSIPCO. All rights reserved.

关键词： Blind source separation

来源：评论

学校读者我要写书评

暂无评论

Rule-Based Dialect of Tulang Bawang Stemmer

Rule-Based Dialect of Tulang Bawang Stemmer

引用

Advancement in Data science, E-learning and Information Systems (ICADEIS), International Conference on

作者： Zaenal Abidin Akmal Junaidi Wamiliana Favorisen Rosyking Lumbanraja Dian Kurniasari Rohmat Indra Borman Doctoral Program of Mathematics and Natural Sciences Universitas Lampung Bandar Lampung Indonesia Department of Computer Science Universitas Lampung Bandar Lampung Indonesia Department of Mathematics Universitas Lampung Bandar Lampung Indonesia Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Bandar Lampung Indonesia

ISBN: (数字)9798331513320

ISBN: (纸本)9798331513337

Stemming, an essential procedure in natural language processing (NLP), diminishes words to their base forms, facilitating tasks such as information retrieval and sentiment analysis. Although stemming techniques for highresource languages are well-developed, numerous low-resource languages, including dialect of Tulang Bawang, suffer from inadequate solutions owing to a scarcity of linguistic data and resources. Existing systems, including rule-based stemmers, have demonstrated efficacy in processing low-resource languages such as Indonesian and Javanese by utilizing established morphological rules. Nonetheless, these methods encounter considerable obstacles, such as restricted adaptability, inability to accommodate unusual root structures, and excessive dependence on fixed rules that might result in over- or understemming. Rule-based methodologies frequently misidentify roots when faced with intricate affixes or unconventional word forms. We introduce an improved rule-based Tulang Bawang Stemmer aimed at overcoming these constraints by enhancing current linguistic rules and integrating new patterns specific to the language's morphology. Assessed on 500 test samples and 200 independent test samples, our improved stemmer attained gold standard evaluation metrics of 96.2% and 94%, respectively, surpassing prior implementations in both precision and generalization. The findings demonstrate the potential of enhanced rule-based techniques to improving NLP for lowresource languages. Improved stemming performance enables better downstream applications, promotes more efficient text analysis, and advances research in underrepresented languages.

关键词： Measurement Sentiment analysis Text analysis Electronic learning Morphology Linguistics Data science Information retrieval Machine translation Information systems

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：