检索结果-内蒙古大学图书馆

11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Olekar, Vijay Patil, Yash Pawar, Vishvam Pitale, Shubham Jaiswal, V.R. Naranje, Vishal Pune Institute of Computer Technology Pune Dept. of Information Technology Pune India School of Engineering Architecture and Interior Design Amity University Dubai United Arab Emirates

ISBN: (纸本)9798350350357

The processing power of CPUs is increasing day by day, but systems often struggle to fully utilize this power due to the bottleneck of file access time from the disk. Over the years, various techniques have been devised to reduce I/O latency while considering various file parameters. Our survey paper aims to shed light on these techniques, efficiently comparing them and highlighting the benefits and drawbacks of each approach. For our evaluation, we have considered various file parameters, such as access time, file size, directory structure, and kernel execution flow. We have combined these parameters with a range of supervised and unsupervised machine learning algorithms, including Decision Tree, ABLE, RNN, GNN, CART, XGBoost, CNN, and more. This survey aims to highlight the use of ML/AI algorithms in the intelligent detection of file access and I/O patterns to optimize the performance of modern applications. © 2024 IEEE.

关键词： Cyber Physical System

来源：评论

学校读者我要写书评

暂无评论

Optimization-Based Comparative System Evaluation of Single and Dual Traction Inverters with Focus on Partial Load Efficiency and Chip Area

Optimization-Based Comparative System Evaluation of Single a...

引用

2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Sachs, Christoph Stamer, Fabian Allgeier, Jan Thrimawithana, Duleepa Neuburger, Martin Esslingen University Faculty of Mobility and Technology Germany University of Stuttgart Institute for System Dynamics Germany Robert Bosch GmbH Germany The University of Auckland Dept. of Electrical Computer and Software Engineering New Zealand

ISBN: (纸本)9798350376067

The transition to electric transportation demands efficient and cost-effective powertrains. Optimizing energy use is crucial for extending range and reducing expenses. However, comparing inverter and motor efficiency based on inverter topologies is challenging due to biased methodologies that favor certain designs over others. This document introduces a novel optimization-based approach for enhancing partial load efficiency and minimizing chip area of single and dual traction inverters, indicating potential energy savings and cost reduction. Recent publications of both industry [1], [2] and academia [3] underscore the importance of these design goals achieved by either novel inverter topologies or enhanced control methods. Two promising topologies with the inherent capability of partial load optimization are evaluated regarding chip area and system efficiency to find the most suitable concept for future electric vehicle power trains. © 2024 IEEE.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

Algorithm-Aware Qubit Mapping

TechRxiv

引用

TechRxiv 2022年

作者： Ji, Yanjun Polian, Ilia Institute of Computer Architecture and Computer Engineering University of Stuttgart Pfaffenwaldring 47 Stuttgart70569 Germany

Algorithm-aware (AlgAw) qubit mapping aims at directly providing the solutions to qubit mapping of algorithms with regular structures based on the algorithm’s features. Although exact methods can provide high quality solutions, their compilation time grows exponentially with circuit size. To improve scalability, we propose the AlgAw qubit mapping approach. The main idea is to first identify subcircuits in an algorithm to be mapped, then analyze optimal solutions for small scale subcircuits found by exact methods, extend these solutions to large scale subcircuits, reconstruct the entire circuit and assign parameters, and finally map pretranspiled circuits onto the target quantum devices. Applying AlgAw to the quantum approximate optimization algorithm (QAOA) on linear and T-shaped subtopologies produces optimal and scalable solutions for arbitrary numbers of qubits and depths, which is critical to the algorithm’s performance on near-term quantum devices. Compared to other methods including Qiskit, Tket, and SWAP-network, AlgAw produces the least number of CNOT gates and the lowest circuit depth for the pretranspiled circuits. Furthermore, AlgAw takes only a few seconds to construct a resulting circuit having a hundred qubits. The benchmarking results on IBM quantum devices show that AlgAw qubit mapping yields better performance than others. AlgAw is applicable to other variational quantum algorithms (VQAs) and can also be applied to other algorithms. © 2022, CC BY.

关键词： Benchmarking

来源：评论

学校读者我要写书评

暂无评论

Maximizing Energy Efficiency in IRS-Assisted Phase Cooperative PS-SWIPT-Based Self-Sustainable IoT Network

IEEE Open Journal of the Communications Society

引用

IEEE Open Journal of the Communications Society 2025年 6卷 4311-4327页

作者： Sadia, Haleema Kamal Hassan, Ahmad Haq Abbas, Ziaul Abbas, Ghulam Baker, Thar Saeed, Nasir United Arab Emirates University College of Engineering Department of Electrical and Communication Engineering Al Ain United Arab Emirates Ghulam Ishaq Khan Institute of Engineering and Technology Faculty of Electrical Engineering Topi23460 Pakistan Ghulam Ishaq Khan Institute of Engineering and Technology Faculty of Computer Science and Engineering Topi23460 Pakistan University of Brighton School of Architecture Technology and Engineering BrightonBN2 4GJ United Kingdom

Power splitting based simultaneous wireless information and power transfer (PS-SWIPT) appears to be a promising solution to support future self-sustainable Internet of Things (SS-IoT) networks. However, the performance of these networks is constrained by radio frequency signal strength and channel impairments. To overcome this challenge, intelligent reflecting surfaces (IRSs) have recently been introduced in IoT networks to improve network efficiency by controlling signal reflections. In this article, we propose a novel IRS-enabled phase cooperative framework that aims to maximize the energy efficiency (EE) of the PS-SWIPT based SS-IoT network. Our framework leverages the idea of phase cooperation between two distinct networks without requiring additional hardware resources. We employed transmit beamforming (BF) at access points (APs) and phase shift optimization at the IRS with effective phase cooperation between APs. The EE maximization problem turns out to be NP-hard, so first, an alternating optimization (AO) is solved for the user’s network using heuristic BF approaches and phase optimization via semidefinite relaxation (SDR) approaches. To combat the computational complexity of AO, we also propose a low-complexity alternative solution by exploiting heuristic BF schemes and an iterative algorithm, i.e., the element-wise block-coordinate descent method for phase shifts optimization. The proposed solutions’ analysis shows low computational complexity and fast convergence, achieving near-optimal EE performance for different network settings. We conducted extensive simulations to evaluate our proposed framework’s performance and unveiled significant EE performance achieved by the IoT network consistent with the numerical findings. This work demonstrates the potential of IRS phase cooperation for enhancing the EE of different networks without constraining hardware resources. © 2020 IEEE.

关键词： Energy transfer

来源：评论

学校读者我要写书评

暂无评论

Towards Explainability as a Functional Requirement: A Vision to Integrate the Legal, End-User, and ML Engineer Perspectives

Towards Explainability as a Functional Requirement: A Vision...

引用

Responsible AI engineering (RAIE), IEEE/ACM International Workshop on

作者： Umm-E- Habiba Justus Bogner Stefan Wagner Institute of Software Engineering University of Stuttgart Stuttgart Stuttgart Germany Department of Computer Science Vrije Universiteit Amsterdam Amsterdam The Netherlands Institute of Software Engineering University of Stuttgart Stuttgart Germany

ISBN: (数字)9798400705724

ISBN: (纸本)9798350388718

The rapid advancement and integration of artificial intelligence (AI) in various sectors have accentuated the importance of explainability in AI systems. This vision paper presents an exploration into the multifaceted nature of AI explainability, consolidating insights from three critical perspectives: legal, end-user, and ML engineer. We work towards a comprehensive taxonomy by creating a detailed classification that integrates various viewpoints and establishes explainability as an essential functional requirement, despite its usual treatment as a non-functional *** taxonomy will guide towards the interdependencies and distinct requirements of each perspective. We aim to foster a more profound understanding of AI explainability, encouraging a more holistic approach to AI system development. This research will advance the explainable AI discussion, providing key insights for policymakers, developers, and users, and promoting the development of AI systems that are technically sound, trustworthy, understandable, and legally *** CONCEPTS• Software engineering → Requirement engineering for Responsible AI; • Requirements engineering → Functional and Non-Functional Requirements; • Responsible AI engineering;

关键词： Technical requirements Law Explainable AI Machine vision Conferences Taxonomy Stakeholders

来源：评论

学校读者我要写书评

暂无评论

Adaptive strategies based on equilibration for the Biot equations

Adaptive strategies based on equilibration for the Biot equa...

引用

92nd Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)

作者： Bertrand, Fleurianne Brodbeck, Maximilian Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Netherlands Institute of Structural Mechanics and Dynamics in Aerospace Structures University of Stuttgart Netherlands

The hypercircle theorem leads to a posteriori error estimates for the three-field variational formulation of the Biot problem involving displacements, total pressure and fluid pressure. Based thereon, adaptive strategies can be constructed. In particular, the error estimator is derived on the basis of H(div)-conforming reconstructions of stress and flux approximations while the symmetry of the reconstructed stress is allowed to be satisfied only weakly. The reconstructions can therefore be performed locally on a set of vertex patches. The local nature of the reconstruction leads to two different possible adaptive strategies. In this paper, we review these two different adaptive strategies for the Biot problem. Numerical experiments underline the differences between the two strategies. © 2023 The Authors.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Fairness-driven link scheduling approach for heterogeneous gateways for digital twin enabled industry 4.0

引用

International Journal of Intelligent Networks 2023年第1期4卷 162-170页

作者： Patil, Suvarna Kaur, Mandeep Rogulj, Katarina Dr. D Y Patil Institute of Engineering Management and Research Pune India Dept. of Computer Science Savitribai Phule Pune University Pune India Permtech Research Solutions Pune India Faculty of Civil Engineering Architecture and Geodesy University of Split Split Croatia

The advent of Industry 4.0 has brought with it the integration of digital twin technology, which has enabled businesses to develop a virtual replica of their physical assets. This technology allows businesses to optimize their operations and improve their overall efficiency. However, the successful implementation of digital twin technology in Industry 4.0 heavily relies on the effective utilization of gateways. A significant challenge in gateway utilization is the fair allocation of resources, particularly in heterogeneous environments where gateways have different capabilities. Digital Twin is helping Industry 4.0 vision by connecting the authorized people to the exact data and processes to protect the data/assets from unauthorized access. It is accomplished by connecting sensing devices using a unique addressing system and transmitting their combined data to the Internet of Things (IoT) cloud. Massive volumes of heterogeneous data have resulted from the rapid growth of IoT applications and services. As a result, evaluation of data which affects the Digital Twin enabled industry is studied in this article which focuses on data traffic generated from different Industry 4.0 applications and protection of data along with the industry assets is looked by Digital Twin technology. IoT gateways are currently used to connect the devices from various technologies to the Digital Twins. In such networks, sudden increase in demand of IoT gateways will increase with the increase in IoT devices and the operational cost will also be increased. In the proposed system, low-cost specific gateways are proposed to minimize cost and maximize network performance for protecting assets of smart city through Digital Twin technology. In order to accomplish effective resource allocation in a Digital Twin based infrastructure, data transmission fairness at every gateway is accomplished in an IIoT network by considering link scheduling issues. To address these issues and provide fairness in he

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Demonstrating Waxpaper Plus: Sequentially and Conditionally Programmable Morphing Wax Fabrics

Demonstrating Waxpaper Plus: Sequentially and Conditionally ...

引用

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023

作者： Wu, Di Lu, Qiuyu Lai, Hsuanju Zhang, Yunjia Yao, Lining School of Architecture Carnegie Mellon University PittsburghPA United States Human-Computer Interaction Institute Carnegie Mellon University PittsburghPA United States Electrical and Computer Engineering Carnegie Mellon University PittsburghPA United States

ISBN: (纸本)9781450394222

We print wax on paper and turn the composite into a sequentially-controllable, rapidly-fabricated, low-cost, and biodegradable shape-changing material. This is a novel, versatile yet highly accessible enabling technology that expands the library of morphing materials in HCI. By integrating three physical phenomena (including the bilayer bending actuation, the hygroscopic nature of the paper, and the hydrophobicity property of the wax) and rapidly printing various wax patterns on paper with an off-the-shelf solid ink printer, we develop wax paper actuators that have highly controllable sequential deformation with a wide range of intervals (from seconds to hours). This paper describes the design factor, fabrication process, sequential control, and transformation primitives, and envisions example applications. © 2023 Owner/Author.

关键词： Fabrication

来源：评论

学校读者我要写书评

暂无评论

What Drives I4.0 Adoption? Establishing the Importance of Strategy

引用

IEEE engineering Management Review 2024年第5期52卷 8-16页

作者： Arcidiacono, Francesco Ancarani, Alessandro Di Mauro, Carmela Schupp, Florian University of Catania Department of Electrical Electronic and Computer Engineering Catania95124 Italy Schaeffler Automotive Bühl Bühl77815 Germany University of Catania Department of Civil Engineering and Architecture Catania95124 Italy Corvinus University of Budapest Corvinus Institute for Advanced Studies Budapest1093 Hungary Constructor University School of Business Social and Decision Sciences Bremen28759 Germany

This article investigates the adoption patterns of Industry 4.0 (I4.0) technologies in the automotive component sector and links I4.0 adoption to competitive strategies. Analysis of survey data concerning 288 automotive suppliers reveals that most firms currently focus on implementing real-time collection and analysis of production data (i.e., the Internet of Things, Big Data, and Artificial Intelligence), while other technologies, such as additive manufacturing and blockchain, are infrequently adopted. I4.0 adoption is associated with a simultaneous strategic emphasis on cost, quality, and delivery, thus suggesting automotive suppliers look at I4.0 as a mean to overcome performance tradeoffs. Findings also confirm that small- and medium-sized firms are less likely to adopt I4.0. Based on these results, implications for academics, managers, and policymakers are suggested. © 2023 IEEE.

关键词： Smart manufacturing

来源：评论

学校读者我要写书评

暂无评论

Implementation of Cloud Computing and Internet of Things (IoT) by Performance Evaluation 12

Implementation of Cloud Computing and Internet of Things (Io...

引用

12th International Electrical engineering Congress, iEECON 2024

作者： Sithiyopasakul, Jiran Archevapanich, Tuanjai Sithiyopasakul, Saran Lasakul, Attasit Purahong, Boonchana Benjangkaprasert, Chawalit School Of Engineering King Mongkut's Institute Of Technology Ladkrabang Bangkok Thailand Rajamangala University Of Technology Suvarnabhumi Faculty Of Engineering And Architecture Department Of Electronics And Communication Engineering Nonthaburi Thailand School Of Engineering King Mongkut's Institute Of Technology Ladkrabang Department Of Computer Engineering Bangkok Thailand

ISBN: (纸本)9798350383591

The integration of cloud computing and the Internet of Things (IoT) holds transformative potential across diverse industries. Performance assessment is essential to gauge the quality and efficiency of cloud computing and IoT systems. This paper presents a comprehensive performance evaluation of cloud computing and IoT systems, focusing on three major platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Experimental results encompass various scenarios, including normal operation, heavy load conditions, IoT applications, and scalability testing. The outcomes reveal distinct performance metrics such as response time, throughput, latency, and reliability for each cloud platform. © 2024 IEEE.

关键词： Internet of things

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：