检索结果-内蒙古大学图书馆

8th IEEE International Smart Cities Conference, ISC2 2022

作者： Utomo, Sapdo John, A. Rouniyar, Adarsh Hsu, Hsiu-Chun Hsiung, Pao-Ann Grad. Institute of Ambient Intelligence and Smart Systems National Chung Cheng University Chiayi County Taiwan National Chung Cheng University Dept. of Computer Science and Information Engineering Chiayi County Taiwan National Chung Cheng University Dept. of Information Management Chiayi County Taiwan

ISBN: (数字)9781665485616

ISBN: (纸本)9781665485616

As the number of smart citizens or users grows, several governments are eager to develop smart cities. All stakeholders, including intelligent users, demand an AI system that is trustworthy. To be considered trustworthy, an AI system must meet seven key criteria: (1) human agency and oversight, (2) robustness and safety, (3) privacy and data governance, (4) transparency, (5) diversity, nondiscrimination, and fairness, (6) societal and environmental well-being, and (7) accountability. By merging the existing trustworthy AI framework from KServe and Federated Learning with a more reliable model aggregation protocol than earlier studies, we introduced the federated trustworthy Artificial Intelligence (FTAI) architecture. With the integration of FedPSO and AIF360, we updated the FedCS technique. The proposed architecture meets all seven of the essential requirements to a high degree of satisfaction. This paper also includes a detailed explanation of this claim. The scenario demonstrates that the new global model comes with clear measures of fairness metrics, ensuring that the model is devoid of bias. © 2022 IEEE.

关键词： Smart city

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Hough Transform and PCA for Bolt Orientation Detection

A Comparative Study of Hough Transform and PCA for Bolt Orie...

引用

IEEE International Conference on Industrial Informatics (INDIN)

作者： Antonio Gambale Sonya Coleman Dermot Kerr Philip Vance Emmett Kerr Cornelia Fermuller Yiannis Aloimonos School of Computing Engineering & Intelligent Systems Ulster University Londonderry Northern Ireland Dept. of Electronic & Mechanical Engineering Atlantic Technological University Letterkenny Ireland Institute for Advanced Computer Studies University of Maryland USA

ISBN: (数字)9798331527471

ISBN: (纸本)9798331527488

In the fields of manufacturing and robotics, accurately determining the orientation of manufacturing components, such as bolts, is a critical yet challenging problem due to the limitations of existing detection methods. This study introduces a novel methodology for addressing this issue, leveraging traditional computer vision techniques, by proposing a streamlined approach that exploits the inherent geometric properties of bolts for orientation detection. Two methods are presented to ascertain the initial axis angle of the bolt: the Progressive Probabilistic Hough Transform (PPHT) and Principal Component Analysis (PCA). These methods are used in conjunction with a novel tip direction detection approach. The results of the study demonstrate consistent accuracy in angle determination, with PPHT and PCA both achieving angular deviations below ±0.5° in the simple dataset, and PCA showing enhanced robustness in the dataset degraded by shadows, with a maximum error under ±1.5°. This research not only reaffirms the viability of fundamental computer vision techniques in modern robotic applications but also sets a precedent for simple, generalisable, and reliable orientation detection solutions. These methods effectively bridge the gap between highly specialised machine learning systems, which often require tailored, complex models and extensive training data, and more universally applicable, straightforward approaches.

关键词： computer vision Training data Transforms Machine learning Fasteners Probabilistic logic Robustness Manufacturing Informatics Principal component analysis

来源：评论

学校读者我要写书评

暂无评论

3D Cloud of Points AI-Based Analysis to Wheels Detection in the Free-Flow Tolling Context

3D Cloud of Points AI-Based Analysis to Wheels Detection in ...

引用

IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Erick Lemmy Dos Santos Oliveira Luiz Gustavo Schitz Da Rocha Marcelo Rudek Dept. of Computer Engineering Pontifical Catholic University of Paraná - PUCPR Curitiba Brazil Pumatronix Curitiba Brazil Industrial and Systems Engineering Graduate Programme - PPGEPS Pontifical Catholic University of Paraná - PUCPR Curitiba Brazil

ISBN: (数字)9798350360868

ISBN: (纸本)9798350360875

This work addresses the challenge of vehicle parameters' identification for the automation of efficient traffic management from vehicle classification, speed measurement, and axles counting by proposing a method based on computer vision and artificial intelligence. Once a vehicle is classified the research problem investigation is to differentiate the number of wheels that can be identified for each vehicle class as trucks, buses, cars pulling trailers due to the different price policies according to the roads' characteristics. We explore wheels and tires' identification by the 3D cloud of points analysis by artificial intelligence and computational vision technologies. The proposal aims to overcome the limitations of current 2D image systems. Also, we discuss the integration approach based on the integration of a variety of technologies for classifying and tracking and by exploring the main libraries for image processing and 3D data analysis. Additionally, the text describes a virtual testing environment as a digital twin for different scenarios and climate conditions involved in the process. As a result, the research brings the comparative study between the real and simulated virtual data.

关键词： Cloud computing Three-dimensional displays Laser radar Wheels Cameras Tires Digital twins

来源：评论

学校读者我要写书评

暂无评论

Exploration of TPU Architectures for the Optimized Transformer in Drainage Crossing Detection

Exploration of TPU Architectures for the Optimized Transform...

引用

2024 IEEE International Conference on Big Data, BigData 2024

作者： Nazeri, Amirhossein Godwin, Denys W. Maria Panteleaki, Aikaterini Anagnostopoulos, Iraklis Edidem, Michael I. Li, Ruopu Shu, Tong Clemson University Dept. of Automotive Engineering ClemsonSC United States Clark University Graduate School of Geography WorcesterMA United States Southern Illinois University Sch. of Electr. Comp. and Biomed. Engr. CarbondaleIL United States Southern Illinois University Sch. of Earth Systems and Sustain. CarbondaleIL United States University of North Texas Dept. of Computer Science and Engr. DentonTX United States

ISBN: (纸本)9798350362480

Understanding hydrologic connectivity within landscapes is crucial for managing environmental challenges. Despite advancements in high-resolution Digital Elevation Models (DEMs) derived from Light Detection and Ranging (LiDAR) technology, accurately delineating hydrologic connectivity remains challenging due to disruptions caused by virtual flow barriers, such as roads and bridges. This study addresses this issue by enhancing the detection performance and reducing the latency of Transformer models for image detection of drainage crossings. We retrained a Detection Transformer (DETR) with a specialized recipe to improve culvert detection performance. Owing to the high susceptibility of LiDAR-based DEMs to measurement noise and varying data modalities, we conducted extensive data preprocessing to ensure DETR compatibility with the culvert dataset. Ablation studies on input size indicate that the model performs optimally with 800×800 pixel inputs, demonstrating its adaptability to new data modalities. Additionally, we employed Tensor Processing Units (TPUs) to decrease the model's latency. We developed a novel strategy to optimize TPU architecture, utilizing genetic algorithms to expedite the discovery of optimal TPU configurations for detection deployment. Our model surpasses the performance of previous models on the same task. This work not only addresses the computational complexities of deploying advanced object detection in environmental contexts but also significantly contributes to the precise and efficient monitoring of hydrologic connectivity. © 2024 IEEE.

关键词： Culverts

来源：评论

学校读者我要写书评

暂无评论

Dynamic Topology Optimization for Efficient and Decentralised Federated Learning

Dynamic Topology Optimization for Efficient and Decentralise...

引用

IEEE International Conference on Big Data

作者： Danilo Menegatti Alessandro Giuseppi Cecilia Poli Antonio Pietrabissa Dept. of Computer Control and Management Engineering Sapienza University of Rome Rome Italy National Centre for Innovative Technologies in Public Health Department Istituto Superiore di Sanità Rome Italy

ISBN: (数字)9798350362480

ISBN: (纸本)9798350362497

Topology optimization in decentralised federated learning settings enables the design of policies aimed at minimizing the number of communication rounds needed to reach algorithmic convergence. Given a federation of autonomous agents, finding the optimal topology which guarantees that the underlying graph is connected is still an open issue. This paper proposes a novel energy-aware topology optimization algorithm with the goal to derive an optimal topology which maximizes the algebraic connectivity of the corresponding graph in presence of energy and communication constraints. The effectiveness of the proposed approach is validated in the context of a consensus-based federated learning algorithm over an e-Health scenario.

关键词： Federated learning Heuristic algorithms Big Data Autonomous agents Topology Optimization Convergence

来源：评论

学校读者我要写书评

暂无评论

Spectro-temporally Multiplexed Reservoir Computing Based on a Multimode Fabry Perot Laser

Spectro-temporally Multiplexed Reservoir Computing Based on ...

引用

European Conference on Optical Communication (ECOC)

作者： M. Skontranis G. Sarantoglou A. Bogris C. Mesaritakis Dept. of Information and Communication Systems Engineering University of the Aegean Samos Greece Dept. Informatics and Computer Engineering University of West Attica Egaleo Greece

We present numerical results from a spectro-temporal reservoir computing based on a Fabry-Perot laser. By exploiting longitudinal modes, we achieved tunable real time processing rate, reaching up to 2.38 GHz for an im... 详细信息

ISBN: (数字)9781957171159

ISBN: (纸本)9781665475570

关键词： Multiplexing Europe Reservoirs Laser modes Real-time systems Optical fiber communication Fabry-Perot

来源：评论

学校读者我要写书评

暂无评论

Enhancing 6G-Satellite Network Integration with Artificial Intelligence: A Future Communication Paradigm

Enhancing 6G-Satellite Network Integration with Artificial I...

引用

Learning and Technology Conference (L&T)

作者： Ibrahim Salah Aziza I. Hussein Mostafa Wageh Lotfy Mohamed Mourad Mabrook Control and Computer Department College of Engineering Almaaqal University Basrah Iraq College of Engineering Energy and Technology Research Center Effat University Saudi Arabia Dept. of Process Control Technology Faculty of Technology and Education Beni-Suef University Beni-Suef Egypt Space Communication Dept. Faculty of Navigation Science & Space Technology Beni-Suef University Beni-Suef Egypt

ISBN: (数字)9798331532215

ISBN: (纸本)9798331532222

The integration of 6G networks and satellite communications is set to revolutionize global connectivity, offering seamless coverage across terrestrial and non-terrestrial environments. Artificial Intelligence (AI) is essential for improving this integration, addressing challenges such as dynamic resource management, latency reduction, and network optimization. AI techniques like machine learning, deep learning, and reinforcement learning offer innovative solutions to handle the complexities of 6G-satellite networks. These advancements promise to significantly improve network efficiency, enhance data transmission reliability, and ensure seamless connectivity across different areas. Potential use cases include smart cities, autonomous vehicles, and Internet of Things (IoT) applications, where AI-driven 6G-satellite integration will be crucial. The proposed AI-enhanced 6G-satellite framework not only addresses current challenges but also lays the groundwork for a resilient, scalable, and globally interconnected communication infrastructure, offering a promising future.

关键词： 6G mobile communication Wireless communication Smart cities Resource management Reliability Internet of Things Stakeholders Artificial intelligence Vehicle dynamics Satellite communications

来源：评论

学校读者我要写书评

暂无评论

MODEL-FREE LEARNING AND OPTIMAL POLICY DESIGN IN MULTI-AGENT MDPS UNDER PROBABILISTIC AGENT DROPOUT

arXiv

引用

arXiv 2023年

作者： Fiscko, Carmel Kar, Soummya Sinopoli, Bruno The Dept. of Electrical and Computer Engineering Carnegie Mellon University 5000 Forbes Ave PittsburghPA15213 United States The Dept. of Systems Engineering Cornell University IthacaNY United States The Dept. of Electrical and Systems Engineering Washington University in St. Louis MO at 1 Brookings Dr St. LouisMO63130 United States

This work studies a multi-agent Markov decision process (MDP) that can undergo agent dropout and the computation of policies for the post-dropout system based on control and sampling of the pre-dropout system. The central planner’s objective is to find an optimal policy that maximizes the value of the expected system given a priori knowledge of the agents’ dropout probabilities. For MDPs with a certain transition independence and reward separability structure, we assume that removing agents from the system forms a new MDP comprised of the remaining agents with new state and action spaces, transition dynamics that marginalize the removed agents, and rewards that are independent of the removed agents. We first show that under these assumptions, the value of the expected post-dropout system can be represented by a single MDP;this "robust MDP" eliminates the need to evaluate all 2N realizations of the system, where N denotes the number of agents. More significantly, in a model-free context, it is shown that the robust MDP value can be estimated with samples generated by the pre-dropout system, meaning that robust policies can be found before dropout occurs. This fact is used to propose a policy importance sampling (IS) routine that performs policy evaluation for dropout scenarios while controlling the existing system with good pre-dropout policies. The policy IS routine produces value estimates for both the robust MDP and specific post-dropout system realizations and is justified with exponential confidence bounds. Finally, the utility of this approach is verified in simulation, showing how structural properties of agent dropout can help a controller find good post-dropout policies before dropout occurs. © 2023, CC BY.

关键词： Markov processes

来源：评论

学校读者我要写书评

暂无评论

SLIPT in Joint Dimming Multi-LED OWC systems with Rate Splitting Multiple Access

SLIPT in Joint Dimming Multi-LED OWC Systems with Rate Split...

引用

IEEE International Conference on Communications (ICC)

作者： Sepideh Javadi Sajad Faramarzi Farshad Zeinali Hosein Zarini Mohammad Robat Mili Panagiotis D. Diamantoulakis Eduard Jorswieck George K. Karagiannidis Pasargad Institute for Advanced Innovative Solutions (PIAIS) Tehran Iran Dept. of Electrical Engineering Iran University of Science and Technology Tehran Iran Dept. of Computer Engineering Sharif University of Technology Tehran Iran Dept. of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Institute for Communications Technology Technische Universitat Braunschweig Braunschweig Germany Artificial Intelligence & Cyber Systems Research Center Lebanese American University (LAU) Lebanon

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

Optical wireless communication (OWC) systems with multiple light-emitting diodes (LEDs) have recently been explored to support energy-limited devices via simultaneous lightwave information and power transfer (SLIPT). The energy consumption, however, becomes considerable by increasing the number of incorporated LEDs. This paper proposes a joint dimming (JD) scheme that lowers the consumed power of a SLIPT-enabled OWC system by controlling the number of active LEDs. We further enhance the data rate of this system by utilizing rate splitting multiple access (RSMA). More specifically, we formulate a data rate maximization problem to optimize the beamforming design, LED selection and RSMA rate adaptation that guarantees the power budget of the OWC transmitter, as well as the quality-of-service (QoS) and an energy harvesting level for users. We propose a dynamic resource allocation solution based on proximal policy optimization (PPO) reinforcement learning. In simulations, the optimal dimming level is determined to initiate a trade-off between the data rate and power consumption. It is also verified that RSMA significantly improves the data rate.

关键词： Wireless communication Energy consumption Quality of service Reinforcement learning Light emitting diodes Dynamic scheduling Real-time systems

来源：评论

学校读者我要写书评

暂无评论

Bridging the Gap between Trust–Region Methods (TRMs) and Linesearch Based Methods (LBMs) for Nonlinear Programming: Quadratic Sub–Problems

SSRN

引用

SSRN 2022年

作者： Fasano, Giovanni Piermarini, Christian Roma, Massimo Dept. of Management Ca’ Foscari University of Venice Italy Dept. of Computer Control and Management Engineering Sapienza University of Rome Italy

We consider the solution of a recurrent sub–problem within both constrained and unconstrained Nonlinear Programming: namely the minimization of a quadratic function subject to linear constraints. This problem appears in a number of LBM frameworks, and to some extent it reveals a close analogy with the solution of trust–region sub–problems. In particular, we refer to a structured quadratic problem where five linear inequality constraints are included. We show that our proposal retains an appreciable versatility, despite its particular structure, so that a number of different real instances may be reformulated following the pattern in our proposal. Moreover, we detail how to compute an exact global solution of our quadratic sub–problem, exploiting first order KKT conditions. © 2022, The Authors. All rights reserved.

关键词： Nonlinear programming

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：