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检索条件"任意字段=International Conference on Measurement and Modeling of Computer Systems"

共 91612 条记录，以下是1331-1340 订阅

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Ontological Foundation for the Development of a Decision Support System in Laser-Based Additive Manufacturing

Ontological Foundation for the Development of a Decision Sup...

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2024 IEEE international Multi-conference on Engineering, computer and Information Sciences, SIBIRCON 2024

作者： Gribova, Valeria V. Kulchin, Yuriy N. Nikitin, Alexander I. Kydryshova, Ekaterina O. Basakin, Artem A. Timchenko, Vadim A. Department of Information Technologies and Mathematical Modeling Vladivostok Russia Department of Optoelectronic Methods of Investigating Gaseous and Condenses Media Vladivostok Russia Department of Photonics and Digital Laser Technologies Vladivostok Russia Laboratory of High-precision Optical Methods of Measurement Vladivostok Russia Laboratory of Intelligent Systems named after A. S. Kleshchev Vladivostok Russia

ISBN: (纸本)9798331532024

The necessity of integrating an intelligent decision support system (DSS) in the professional activities of laser-based additive manufacturing (LBAM) process engineers is discussed. The advantages of applying an ontological two-level approach to the formation of semantic information for developing an ontology-based DSS are highlighted. Its key feature is that ontological models are clearly separated from databases and knowledge bases formed on their basis. A set of related ontological models is presented as the basis for the intelligent DSS that is currently being developed. The composition of the set of models, the purpose of its components, and the possible types of relations between them are described. The set includes ontologies of reference databases on LBAM equipment and materials, an ontology for an archive of laser processing technological operation protocols, an ontology of a knowledge bases on the settings of laser processing modes and an ontology of the mathematical model database. The ensemble of ontological models is implemented on the IACPaaS cloud platform using its tools. Ontologies, databases and knowledge base, as well as DSS, are part of the LBAM knowledge portal, which was created and is being developed on the platform. This portal is intended to accumulate and further use the knowledge and experience collected by different technologists. In the future, it will facilitate the reduction of the number of preliminary experiments required to identify a suitable solution. © 2024 IEEE.

关键词： Laser materials processing

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modeling method of skylight polarization patterns based on distribution of neutral point 4

Modeling method of skylight polarization patterns based on d...

引用

4th international conference on computer Vision, Image and Deep Learning, CVIDL 2023

作者： Gui, Ceding Wei, Kun School of Computer Science and Information Engineering Hefei University of Technology AnHui Hefei China

ISBN: (纸本)9798350326444

The skylight polarization patterns are essential in polarization navigation and remote sensing. The available models are unable to properly describe the distribution characteristics of skylight polarization patterns due to the complexity of actual atmospheric conditions. The neutral point is one of the important distribution properties of skylight polarization patterns, which represent the primary difference between measured patterns and theoretical skylight polarization patterns based on single Rayleigh scattering. In this paper, the actual spatial locations of the neutral points are calculated based on the crossover characteristics of the neutral lines and the projection model of the fisheye lens, and the distribution characteristic of the neutral point is analyzed. Based on the distribution of neutral points under actual atmospheric conditions and the equidistant projection mode of measurement equipment, a simulation model of skylight polarization patterns is constructed, taking into account the influence of skylight intensity and sky clarity. The simulation results reveal that the proposed model is more consistent with the measured skylight polarization patterns than the Rayleigh model. © 2023 IEEE.

关键词： Remote sensing

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Load Identification Method of Household-Smart Meter Based on Decision Tree Algorithm

Load Identification Method of Household-Smart Meter Based on...

引用

2024 international conference on Smart systems for Electrical, Electronics, Communication and computer Engineering, ICSSEEC 2024

作者： Alatba, Sura Rahim Obaid, Hudsein Adnan Hameed, Waleed Husain, Saif O. Al-Turath University College Computer Technologies Engineering Baghdad Iraq National University of Science and Technology Department of Medical Devices Engineering Technologies Nasiriyah Dhi Qar Iraq Al-farahidi University Medical Instruments Engineering Techniques Baghdad Iraq College of Technical Engineering The Islamic University Department of Computers Techniques Engineering Najaf Iraq

ISBN: (纸本)9798350378177

Appliance load monitoring is used to determine an individual's residential energy usage by analyzing appliances' voltage and current changes in a household. The approach determines how much power each appliance uses on its own using the home's total energy usage. For innovative energy services, such as demand response measures and customized energy feedback, the roll-out of smart meters provides simple access to the granular meter readings required. The classification challenge of identifying a domestic appliance, i.e., breaking down the main power measurement into its parts, is very difficult. This work provides a decision tree algorithm-based load identification (DTA-LI) system to identify common household electrical items from a typical reading of a home's smart meter. Data from smart residential meters will be used to create a system for identifying and classifying daily living activities in the home. Using publicly accessible smart meter datasets, the performance of this technique is verified and confirmed. Each device is assigned a specific task mapped to household activities. There is a great possibility to monitor and evaluate energy use in residential buildings due to the rising use of smart meters, particularly those installed in homes, which are becoming more commonplace around the globe to enhance energy efficiency and reduce environmental impact. Due to the growing use of smart meters in the market, there is a great chance to monitor and evaluate energy use in residential buildings. DTA-LI, provide a framework for processing observed energy consumption patterns to infer the characteristics of households in residential structures. Show how the clusters capture households' spending habits and geo-Demographic segmentation. The numerical outcome of the proposed method enhances the electricity-saving rate, control of household energy consumption, management of the load shedding, efficiency, and system transition in energy. © 2024 IEEE.

关键词： Strain measurement

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Research and Design of a System for the measurement of Dielectric Characteristics of Near-Bit Fluids 30th

Research and Design of a System for the Measurement of Diele...

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30th international conference on Computational and Experimental Engineering and Sciences

作者： Wang, Zizhen Li, Jun Yang, Hongwei Zhou, Ronghao Liu, Gonghui China Univ Petr Beijing Peoples R China China Univ Petr Beijing Karamay Xinjiang Peoples R China

ISBN: (纸本)9783031816758;9783031816734;9783031816727

In complex drilling environments, the dielectric characteristics of the near-bit fluid (drilling muds) can directly reflect its content and nature of the solid-phase particles, liquids and gases. The dielectric constant and conductivity are two major electrical parameters of near-bit fluids, whose values make a difference to the amplitude and phase of measured signals, ultimately leading to insufficient accuracy in understanding fluid properties during drilling. This is one of the reasons why downhole gas kick and mud loss cannot be effectively controlled. Therefore, clarifying the dielectric properties of near-bit fluids is an essential job in identifying and interpreting complex operating conditions of downhole wells. Considering that the water content, temperature, and density of the fluid can affect its dielectric characteristics to varying degrees, this paper adopts a sensor with four-core annular electrodes to measure the dielectric characteristics of the near-bit fluid. Based on the finite element method (FEM), a simulation modeling experiment is conducted on the current density distribution of dielectric sensors, and a dielectric measurement system prototype is designed and built, mainly including dielectric sensors, a hardware control circuit, and an upper computer. The results show that the system can be used to access the dielectric characteristic parameters of the near-bit fluid, further verifying the feasibility of safety prewarning over the drilling process through dielectric characteristic monitoring.

关键词： Dielectric characteristics Impedance measurement Near-bit fluid Drilling safety

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Combinators as Observable Presheaves: A Characterization in the Grossone Framework 4th

Combinators as Observable Presheaves: A Characterization in ...

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4th international conference on Numerical Computations: Theory and Algorithms, NUMTA 2023

作者： Gangle, Rocco Tohmé, Fernando Caterina, Gianluca Endicott College BeverlyMA01915 United States Universidad Nacional del Sur and Conicet Blanca Bahía Argentina

ISBN: (纸本)9783031812460

Combinators, as defined originally by Moses Schönfinkel, give rise to a Turing-complete model of computation. This paper presents a diagrammatic representation of combinators as presheaves defined over a category of generic figures. We adopt Sergeyev’s grossone numeral system, which, together with our categorical representation of combinators, ensures a sharper characterization of non-halting combinators. As a result of our analysis, we show how certain "infinite" combinators can be recast in the grossone formalism using the notion of observability, which captures the general concept of tractable properties of sequences with length less than or equal to grossone. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： computer circuits

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A Predictive Framework for Efficient Resources Allocation in Healthcare Organisations 24

A Predictive Framework for Efficient Resources Allocation in...

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24th international conference on Control systems and computer Science, CSCS 2023

作者： Coman, Gabriela Mocanu, Stefan Dobrescu, Radu University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania

ISBN: (纸本)9798350313390

In today's dynamic healthcare environment an efficient allocation of healthcare resources is essential for overall positive outcomes of healthcare processes and patient's satisfaction. A preliminary stage for moving towards an efficient allocation of resources is the existence of an Integrated Management System (IMS) in the healthcare organizations. An IMS consist in a series of requirements on different areas that are mandatory to be *** modeling tools have been developed to improve the current state of healthcare processes. Those models can aid the decision-making process for allocation of healthcare resources and reduce costs. The purpose of this article is to present a predictive framework for efficient allocation in the healthcare system organization with implemented IMS. Type of resources relevant in the proposed framework were selected based on Pareto's rule. The aim of the predictive framework is to support better allocation and management of healthcare resources, which is critical for reliable healthcare outcomes. The framework integrates value-based concepts and it is focused on finding balance between process performance and cost. © 2023 IEEE.

关键词： Decision making

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Octopus: Experiences with a Hybrid Event-Driven Architecture for Distributed Scientific Computing

Octopus: Experiences with a Hybrid Event-Driven Architecture...

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2024 Workshops of the international conference for High Performance Computing, Networking, Storage and Analysis, SC Workshops 2024

作者： Pan, Haochen Chard, Ryan Zhou, Sicheng Kamatar, Alok Vescovi, Rafael Hayot-Sasson, Valerie Bauer, Andre Gonthier, Maxime Chard, Kyle Foster, Ian Southern University of Science and Technology Department of Computer Science China Illinois Institute of Technology Department of Computer Science ChicagoIL United States University of Chicago Department of Computer Science ChicagoIL United States Argonne National Laboratory Data Science and Learning Division LemontIL United States

ISBN: (纸本)9798350355543

Scientific research increasingly relies on distributed computational resources, storage systems, networks, and instruments, ranging from HPC and cloud systems to edge devices. Event-driven architecture (EDA) benefits applications targeting distributed research infrastructures by enabling the organization, communication, processing, reliability, and security of events generated from many sources. To support the development of scientific EDA, we introduce Octopus, a hybrid, cloud-to-edge event fabric designed to link many local event producers and consumers with cloud-hosted brokers, and to provide a fabric for developing resilient applications. Octopus can be scaled to meet demand, permits the deployment of highly available Triggers for automatic event processing, and enforces fine-grained access control. We identify requirements in self-driving laboratories, scientific data automation, online task scheduling, epidemic modeling, and dynamic workflow management use cases, and present results demonstrating Octopus' ability to meet those requirements. Octopus supports producing and consuming events at a rate of over 4.2 M and 9.6 M events per second, respectively, from distributed clients. © 2024 IEEE.

关键词： Event-driven architecture research automation scientific computing

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Proceedings - 2023 IEEE international conference on Quantum Software, QSW 2023

Proceedings - 2023 IEEE International Conference on Quantum ...

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2023 IEEE international conference on Quantum Software, QSW 2023

ISBN: (纸本)9798350304794

The proceedings contain 21 papers. The topics discussed include: effects of imperfections on quantum algorithms: a software engineering perspective;QIn: enabling formal methods to deal with quantum circuits;a testing pipeline for quantum computing applications;LAWS: look around and warm-start natural gradient descent for quantum neural networks;parallelizing quantum simulation with decision diagrams;middleware for quantum: an orchestration of hybrid quantum-classical systems;agile practices for quantum software development: practitioners’ perspectives;iQuantum: a case for modeling and simulation of quantum computing environments;and effects of imperfections on quantum algorithms: a software engineering perspective.

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Neural Networking for Human Neuroplasticity With Deep Neural Network for Finding Human Talent

Neural Networking for Human Neuroplasticity With Deep Neural...

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2024 international conference on Intelligent systems for Cybersecurity, ISCS 2024

作者： Singh, Nongmeikapam Thoiba Kang, Sandeep Singh Sharma, Richa Chandigarh University Department of Computer Science and Engineering Punjab India

ISBN: (纸本)9798350375237

A key component of understanding the human brain's information processing mechanism is neural networking, which seeks to create a quantifiable connection between the stimuli and the triggered brain processes. Population receptive field (pRF) models have gained a lot of traction and demonstrated steady advancement in the field of visual neuroscience recently. These models can describe the functioning of neurons in basic neuroplasticity. However, the expressiveness and interpretability of previous models are significantly constrained by their reliance on either imprecise parameter estimation methods or tight prior beliefs regarding pRF. In this study, we present a unique neural networking architecture that trains deep neural networks to recognize 'where' and 'what.' Two separate elements that are involved in neuroplasticity are the spatial feature ('where') and feature selection ('what') of neuron clusters. The method described involves three main steps. The initial phase is utilizing a pretrained deep neural network (DNN) to encode visual data into preliminary features. To find 'where,' these features are further refined through the use of channel attention and spatial receptive field. In order to determine 'what,' the improved features are then simultaneously regressed onto voxel activity. This modeling approach incorporates smoothness and sparsity regularizations, enabling us to automatically determine the essential receptive field size without assuming any specific shape in advance. Using multi-voxel joint networking models, the study investigates extending voxel-wise modeling to successfully improve the accuracy of underperforming voxels. The research demonstrates that this approach, which involves fewer prior constraints but achieves better networking performance, offers an effective way to design neural networks for studying human neuroplasticity. © 2024 IEEE.

关键词： Deep neural networks

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Active User Detection in Massive MIMO systems Using Compressed Sensing 10

Active User Detection in Massive MIMO Systems Using Compress...

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10th international conference on Engineering and Emerging Technologies, ICEET 2024

作者： Umar, Ubaid Waseem, Athar Naveed, Aqdas Munir, Fahad Roslee, Mardeni Bin Ayub, Sara International Islamic University Department of Electrical and Computer Engineering Islamabad Pakistan Multimedia University Faculty of Engineering Centre for Wireless Technology Cyberjaya Malaysia

ISBN: (纸本)9798331532895

In 5G and Beyond 5G wireless communication networks, Massive Multiple-Input Multiple-Output (MIMO) technologies are essential for improved energy and spectrum efficiency. These kinds of systems are very effective at channel estimation and active user detection (AUD) in situations where there are many users and only a small percentage of them are sending data during a given time frame. Finding an active user is the biggest issue in this situation because it will have a direct effect on system performance. Sparsity in the user's activity pattern can be exploited through the use of Compressed Sensing (CS) techniques. Orthogonal Matching Pursuit with Iterative Refinement (OMP-IR) and Enhanced OMP (OMPe), two variants of the classic OMP algorithm, are the main subject of this study for compressed Sensing. By adding chaotic sequences, accuracy and robustness are increased and also the impact of noise and interreference is successfully reduced, leading to good accuracy in AUD. Details of modeling has been shared in this paper which shows how angular sparsity has been exploited for AUD. Comparative visualization of different flavors of OMP is performed. Simulations show that enhanced version of OMP outperforms other flavor in AUD precision, which makes it more reliable for AUD in Massive MIMO systems. Which ultimately optimize resource allocation in high density user environment. © 2024 IEEE.

关键词： Resource allocation

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