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arXiv 2024年

作者： Karunasena, Sachira Khordad, Erfan Drummond, Thomas Senanayake, Rajitha Department of Electrical and Electronic Engineering University of Melbourne Melbourne Australia School of Computing and Information Systems University of Melbourne Melbourne Australia

Meeting the high data rate demands of modern applications necessitates the utilization of high-frequency spectrum bands, including millimeter-wave and sub-terahertz bands. However, these frequencies require precise alignment of narrow communication beams between transmitters and receivers, typically resulting in significant beam training overhead. This paper introduces a novel end-to-end vision-aided beamforming framework that utilizes images to predict optimal beams while considering geometric adjustments to reduce overhead. Our model demonstrates robust adaptability to dynamic environments without relying on additional training data where the experimental results indicate a top-5 beam prediction accuracy of 98.96%, significantly surpassing current state-of-the-art solutions in vision-aided beamforming. © 2024, CC BY.

关键词： Beamforming

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An approach towards Model-To-Model Mapping between AUTOSAR and Android systems 45

An approach towards Model-To-Model Mapping between AUTOSAR a...

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45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Zlatkovic, Radomir Cabrilo, Vuk Antic, Marija Kovacevic, Branimir University of Novi Sad Faculty of Technical Sciences Department of Computing and Control Engineering Serbia RT-RK Institute for Computer Based Systems Novi Sad Serbia

ISBN: (纸本)9789532331035

Every new generation of modern vehicles aims to provide the customers with a higher level of comfort and entertainment services. Consequently, the burden is placed upon the manufacturers to incorporate ever more complex electronic systems in their products and introduce service-based technologies. To meet these demands, service-oriented architecture (SOA) has become an integral part of the Adaptive AUTOSAR as the industry standard. Also, mobile services and applications are natively supported in the new in-vehicle infotainment systems (IVI) which usually run on the Android operating system. As these fundamentally different technologies are incorporated in the vehicles, the developers are facing the challenge of connecting them and exchanging information between the services running in different domains. Service-oriented architectures usually rely on a model-driven engineering approach to facilitate the development of the applications. However, as the complexity of the system grows, the mapping of various metamodels becomes a challenge, as no single standard is used across all domains in the vehicle. This paper provides a possible solution for mapping the already existing AUTOSAR metamodel to an Android Interface Definition Language (AIDL) metamodel. By applying the proposed mapping, it is possible to build applications that require the cooperation of various domains within the vehicle. © 2022 Croatian Society MIPRO.

关键词： Mapping

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Experimental Assessment of Containers Running on Top of Virtual Machines

arXiv

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arXiv 2024年

作者： Aqasizade, Hossein Ataie, Ehsan Bastam, Mostafa Department of Computer Engineering University of Mazandaran Babolsar Iran Distributed Computing Systems Research Group University of Mazandaran Babolsar Iran

Over the past two decades, the cloud computing paradigm has gradually attracted more popularity due to its efficient resource usage and simple service access model. Virtualization technology is the fundamental element of cloud computing that brings several benefits to cloud users and providers, such as workload isolation, energy efficiency, server consolidation, and cost reduction. This paper examines the combination of operating system-level virtualization (containers) and hardware-level virtualization (virtual machines). To this end, the performance of containers running on top of virtual machines is experimentally compared with standalone virtual machines and containers based on different hardware resources, including the processor, main memory, disk, and network in a real testbed by running the most commonly used benchmarks. Paravirtualization and full virtualization as well as type 1 and type 2 hypervisors are covered in this study. In addition, three prevalent containerization platforms are examined. © 2024, CC BY.

关键词： Virtual machine

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MAIDS - A Framework for the Development of Multi-Agent Intentional Dialogue systems 22

MAIDS - A Framework for the Development of Multi-Agent Inten...

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22nd International Conference on Autonomous Agents and Multiagent systems, AAMAS 2023

作者： Engelmann, Débora C. Panisson, Alison R. Vieira, Renata Hübner, Jomi Fred Mascardi, Viviana Bordini, Rafael H. School of Technology PUCRS Porto Alegre Brazil DIBRIS University of Genoa Genoa Italy Department of Computing UFSC Araranguá Brazil CIDEHUS University of Évora Évora Portugal Automation and Systems Engineering UFSC Florianópolis Brazil

This paper introduces a framework for programming highly sophisticated multi-agent dialogue systems. The framework is based on a multi-part agent belief base consisting of three components: (i) the main component is an extension of an agent-oriented programming belief base for representing defeasible knowledge and, in particular, argumentation schemes;(ii) an ontology component where existing OWL ontologies can be instantiated;and (iii) a theory of mind component where agents keep track of mental attitudes they ascribe to other agents. The paper formalises a structured argumentation-based dialogue game where agents can "digress" from the main dialogue into subdialogues to discuss ontological or theory of mind issues. We provide an example of a dialogue with an ontological digression involving humans and agents, including a chatbot that we developed to support bed allocation in a hospital. The example is used to show that our framework supports all features of recent desiderata for future dialogue systems. We also report an initial evaluation of the chatbot carried out by domain experts. © 2023 International Foundation for Autonomous Agents and Multiagent systems (***). All rights reserved.

关键词： Ontology

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Monochromatic Image Dehazing Using Enhanced Feature Extraction Techniques in Deep Learning

Monochromatic Image Dehazing Using Enhanced Feature Extracti...

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Artificial Intelligence and Knowledge Discovery in Concurrent engineering (ICECONF), International Conference on

作者： Nisarg Doshi Sagar Bhavsar D Rajeswari R Srinivasan Department of Data Science and Business Systems School of Computing College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Department of Computing Technologies School of Computing College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur

Images photographed in foggy weather usually have poor visibility. To mitigate this problem researchers have come up with various image dehazing techniques. Now, more than ever, high-quality images that can be used to glean maximum information from autonomous systems are in high demand. This research work uses different Deep Learning (DL) architectures to draw out essential details from the picture and localize the information recovered to reduce the haze from the picture. The paper investigates to remove the hazes from the dehazed images using DL techniques. The first task of this proposed work attempts three pre-processing techniques namely, air light estimation, contextual regularization and boundary constraint. The second task of this work is to identify the suitable DL model to extract clear images from dehazed images. Evaluation metrics are PSNR value and SSIM value are used to estimate the values of dehazed images compared with clear images. Experimental results proves that AOD-Net outperforms good result with respect to PSNR value.

关键词： Deep learning Measurement Autonomous systems Atmospheric modeling Estimation Feature extraction Knowledge discovery

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Load Balancing Framework for Cross-Region Tasks in Cloud computing

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Computers, Materials & Continua 2022年第1期70卷 1479-1490页

作者： Jaleel Nazir Muhammad Waseem Iqbal Tahir Alyas Muhammad Hamid Muhammad Saleem Saadia Malik Nadia Tabassum Department of Software Engineering The Superior CollegeLahorePakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Statistics and Computer Science University of Veterinary and Animal SciencesLahore54000Pakistan Department of Industrial Engineering Faculty of EngineeringRabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology-RabighKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Computer Science Virtual University of PakistanLahore54000Pakistan

Load balancing is a technique for identifying overloaded and underloaded nodes and balancing the load between *** maximize various performance parameters in cloud computing,researchers suggested various load balancing *** store and access data and services provided by the different service providers through the network over different regions,cloud computing is one of the latest technology systems for both end-users and service *** volume of data is increasing due to the pandemic and a significant increase in usage of the internet has also been *** of the cloud are looking for services that are intelligent,and,can balance the traffic load by service providers,resulting in seamless and uninterrupted *** types of algorithms and techniques are available that can manage the load balancing in the cloud *** this paper,a newly proposed method for load balancing in cloud computing at the database level is *** database cloud services are frequently employed by companies of all sizes,for application development and business *** balancing for distributed applications can be used to maintain an efficient task scheduling process that also meets the user requirements and improves resource *** balancing is the process of distributing the load on various nodes to ensure that no single node is *** avoid the nodes from being overloaded,the load balancer divides an equal amount of computing time to all *** results of two different scenarios showed the cross-region traffic management and significant growth in revenue of restaurants by using load balancer decisions on application traffic gateways.

关键词： Load balancing performance database region virtualization

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Condition Monitoring and Maintenance Management with Grid-Connected Renewable Energy systems

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Computers, Materials & Continua 2022年第8期72卷 3999-4017页

作者： Md.Mottahir Alam Ahteshamul Haque Mohammed Ali Khan Nebras M.Sobahi Ibrahim Mustafa Mehedi Asif Irshad Khan Department of Electrical and Computer Engineering(ECE) King Abdulaziz UniversityJeddah 21589Saudi Arabia Advance Power Electronics Research Lab Department of Electrical EngineeringJamia Millia IslamiaNew Delhi 110025India Department of Electrical Power Engineering Faculty of Electrical Engineering and CommunicationBrno University of TechnologyBrno 61600Czech Republic Center of Excellence in Intelligent Engineering Systems(CEIES) King Abdulaziz UniversityJeddah 21589Saudi Arabia Computer Science Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia

The shift towards the renewable energy market for carbon-neutral power generation has encouraged different governments to come up with a plan of *** with the endorsement of renewable energy for harsh environmental conditions like sand dust and snow,monitoring and maintenance are a few of the prime *** problems were addressed widely in the literature,but most of the research has drawbacks due to long detection time,and high misclassification *** to overcome these drawbacks,and to develop an accurate monitoring approach,this paper is motivated toward the understanding of primary failure concerning a grid-connected photovoltaic(PV)system and highlighted along with a brief overview on existing fault detection *** on the drawback a data-driven machine learning approach has been used for the identification of fault and indicating the maintenance unit regarding the operation and maintenance ***,the system was tested with a 4 kWp grid-connected PV system,and a decision tree-based algorithm was developed for the identification of a *** results identified 94.7%training accuracy and 14000 observations/sec prediction speed for the trained classifier and improved the reliability of fault detection nature of the grid-connected PV operation.

关键词： Fault detection machine learning fault ride through

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Curriculum Learning for Few-Shot Domain Adaptation in CT-Based Airway Tree Segmentation 22

Curriculum Learning for Few-Shot Domain Adaptation in CT-Bas...

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22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025

作者： Jacovella, Maxime Keshavarzi, Ali Angelini, Elsa Imperial College London Faculty of Engineering Department of Computing United Kingdom Institut Polytechnique de Paris Ltci Telecom Paris France Imperial College London Division of Systems Medicine Digestion & Reproduction Faculty of Medicine Department of Metabolism United Kingdom

ISBN: (纸本)9798331520526

Despite advances with deep learning (DL), automated airway segmentation from chest CT scans continues to face challenges in segmentation quality and generalization across cohorts. We address this by integrating Curriculum Learning (CL) into segmentation networks, using ad-hoc complexity scores derived from CT scans and ground-truth tree features. We specifically investigate few-shot domain adaptation, targeting scenarios where manual annotation of a full fine-tuning dataset is prohibitively expensive. Results are reported on two large open-cohorts (ATM22 and AIIB23) with high performance using CL for full training (Source domain) and fewshot fine-tuning (Target domain), but also some insights on potential detrimental effects when using a classic Bootstrapping scoring function or indadequate scan sequencing. © 2025 IEEE.

关键词： Curricula

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Historical Ink: Exploring Large Language Models for Irony Detection in 19th-Century Spanish

arXiv

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arXiv 2025年

作者： Cohen, Kevin Manrique-Gómez, Laura Manrique, Rubén Systems and Computing Engineering Department Universidad de los Andes Colombia History and Geography Department Universidad de los Andes Bogotá DC United States

This study explores the use of large language models (LLMs) to enhance datasets and improve irony detection in 19th-century Latin American newspapers. Two strategies were employed to evaluate the efficacy of BERT and GPT-4o models in capturing the subtle nuances nature of irony, through both multi-class and binary classification tasks. First, we implemented dataset enhancements focused on enriching emotional and contextual cues;however, these showed limited impact on historical language analysis. The second strategy, a semi-automated annotation process, effectively addressed class imbalance and augmented the dataset with high-quality annotations. Despite the challenges posed by the complexity of irony, this work contributes to the advancement of sentiment analysis through two key contributions: introducing a new historical Spanish dataset tagged for sentiment analysis and irony detection, and proposing a semi-automated annotation methodology where human expertise is crucial for refining LLMs results, enriched by incorporating historical and cultural contexts as core features. © 2025, CC BY.

关键词：

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Markov-Parameters and Time-Moments Based Approximation of Discrete Interval systems 2

Markov-Parameters and Time-Moments Based Approximation of Di...

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2nd International Conference on Power, Control and computing Technologies, ICPC2T 2022

作者： Meena, V.P. Barik, Lalbihari Singh, V.P. Malaviya National Institute of Technology Department of Electrical Engineering Jaipur302017 India King Abdulaziz University Faculty of Computing Information Technology in Rabigh Department of Information Systems Saudi Arabia

ISBN: (纸本)9781665458580

This paper proposes the model order reduction (MOR) method for discrete interval systems (DISs). Two expressions are derived to calculate time moments (TMs) and Markov parameters (MPs) of DISs. The expressions of TMs and MPs are expressed in generalized form. MOR of DIS is obtained with the help of TMs, MPs, and pole retention techniques. The denominator of the model is obtained by the dominant pole retention technique. The numerator is calculated by matching the TMs and MPs of the higher-order system and lower-order model. One test case is included to illustrate the procedure. © 2022 IEEE.

关键词： Computers Power control Markov processes Read only memory MIMO communication

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