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检索条件"任意字段=International Conference on Computer Modeling and Simulation"

共 35208 条记录，以下是151-160 订阅

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simulation of Airborne Radar Sea Surface Scattering Based on Improved Sea Clutter modeling 4

Simulation of Airborne Radar Sea Surface Scattering Based on...

引用

4th international conference on computer Science, Electronic Information Engineering and Intelligent Control Technology, CEI 2024

作者： Sui, Bingxuan Jingzhou University Department of Information Engineering Jingzhou China

ISBN: (纸本)9798350378542

Airborne radar plays an important role in sea surface search and rescue and national defense, and the analysis of control variables in multiple dimensions of the sea conditions of the sea surface to be detected, the frequency of the radar's electromagnetic wave, the altitude of the aircraft, and the angle of incidence is conducive to more intuitive simulation to simulate the most realistic sea surface detection environment. At the same time, the multi-dimensional consideration of the factors will also greatly improve the accuracy of the radar to detect the target. In this thesis, the backscattering characteristics of sea clutter will be explained and modeled, and the simulation of the improved model of sea clutter backscattering will provide new ideas for the analysis of sea surface scattering characteristics of airborne radar. © 2024 IEEE.

关键词： Radar clutter

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Application of Petri Nets for modeling Ore Flows to Create Dynamic Management and Quality Control System in Mineral Resource Complexes

Application of Petri Nets for Modeling Ore Flows to Create D...

引用

2024 international conference on Industrial Engineering, Applications and Manufacturing, ICIEAM 2024

作者： Larichev, Pavel Tynchenko, Vadim Nekrasov, Ivan Institute Of Computer Science And Telecommunications Reshetnev Siberian State University Of Science And Technology Information-Control Systems Department Krasnoyarsk Russia Bauman Moscow State Technical University Artificial Intelligence Technology Scientific And Education Center Moscow Russia Federal Univercity Laboratory Of Biofuel Composition Siberian Krasnoyarsk Russia

ISBN: (纸本)9798350395013

The article discusses the issue of creating a dynamic system for managing and monitoring the quality of ore flow in mineral resource complexes using simulation modeling. The purpose of this study is to adapt the mathematical apparatus of Petri nets to such modeling. The article describes the choice and justification of the simulation modeling apparatus and provides a conceptual representation of the ore flow model in the form of an adaptation of a continuous Petri net. An architectural solution is proposed that covers a number of processes, such as geological exploration, mining, moving loads in the business processes of enterprises, but also to support the rock mass. The proposed architecture is being coordinated with information systems and software and hardware of mining enterprises, which makes it possible to identify data needs for the formation of technical specifications for the correction of business processes. The proposed control system will make it possible to implement simulation modeling both in model and real time for timely and adequate assessment of the progress of work being carried out and clarifying the reasons for the lag behind planned schedules using a Petri net. © 2024 IEEE.

关键词： Petri nets

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Dynamic Evolution modeling and computer simulation Analysis in Complex Networks

Dynamic Evolution Modeling and Computer Simulation Analysis ...

引用

2024 international conference on Telecommunications and Power Electronics, TELEPE 2024

作者： Yu, Xu Lv, Linlin Ling, Chunying Heilongjiang University of Finance and Economic Harbin150000 China

ISBN: (纸本)9798350369212

Complex networks, as a powerful tool, have been widely used in various fields such as social sciences, biological sciences, and computer science to study the structure and behavior of complex systems. In discrete manufacturing enterprises, production logistics runs through the entire material change process from raw material outflow to finished product receipt, which has a decisive impact on the operational efficiency, cost control, and product quality of the enterprise. This article takes this as an example and proposes a modeling and performance analysis method for a discrete manufacturing workshop production logistics network (DMWPLN) based on complex network theory. By constructing a production logistics network model, we can clearly describe the relationships and dependencies between various production processes in the workshop, as well as the dynamic changes in material flow, information flow, and energy flow. And using computer simulation analysis, conduct in-depth research on the topology, dynamic characteristics, and performance bottlenecks of the production logistics network, in order to provide scientific decision-making basis for optimizing production processes and improving production efficiency. The experimental results indicate that this method can provide strong support for the optimization and improvement of production logistics. © 2024 IEEE.

关键词： Production efficiency

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A Novel Chaining-Based Indirect Addressing Mode in a Vertical Vector Processor 24th

A Novel Chaining-Based Indirect Addressing Mode in a Vertica...

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24th international conference on Embedded computer Systems: Architectures, modeling, and simulation

作者： Gesper, Sven Koehler, Daniel Gia Bao Thieu Homann, Jasper Meinl, Frank Blume, Holger Paya-Vaya, Guillermo Tech Univ Carolo Wilhelmina Braunschweig Chair Chip Design Embedded Comp Braunschweig Germany Leibniz Univ Hannover Inst Microelect Syst Hannover Germany Robert Bosch GmbH Leonberg Cross Domain Comp Solut Leonberg Germany

ISBN: (纸本)9783031783760;9783031783777

Efficient processing architectures for irregular data patterns require vector element addressing with flexible indices. Therefore, state-of-the-art SIMD vector extensions implement gather and scatter instructions for indexed addressing of data in memory. In vertical vector processors, different data is processed sequentially in parallel lanes and can be exchanged via chaining. This paper proposes an extension of such chaining mechanisms in a vertical vector processor architecture (V2PRO) to flexibly chain not only data but also address offsets between vector lanes. The indirect addressing enables vector access patterns with irregular strides for both register file and memory. The extension has a low hardware overhead of +4.8 % lookup tables and +1.8% registers on a Xilinx Ultrascale+ FPGA. A runtime evaluation for two applications from computer vision, namely Deformable Convolutions and point cloud encoding with PointPillars, demonstrates speedups of at least an order of magnitude with the proposed extension.

关键词： Vector Processor Architecture Indirect Addressing Mode computer Vision Radar Object Detection

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Exploiting GPU computing for effective Agent-Based simulation: initial experiments 33

Exploiting GPU computing for effective Agent-Based simulatio...

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33rd Euromicro international conference on Parallel, Distributed, and Network-Based Processing, PDP 2025

作者： Pennisi, Marzio Franceschinis, Giuliana Baccega, Daniele Pernice, Simone Terrone, Irene Computer Science Institute - DiSIT Università del Piemonte Orientale Alessandria Italy University of Turin Turin Department of Computer Science Italy

ISBN: (纸本)9798331524937

Agent-Based modeling and simulation (ABMS) has been increasingly applied in various research fields, thanks to the capability of these models to describe fine-grained realworld behavior and to the ease of interpretation by domain experts. However, such models lack a formal definition and well-defined semantics that are common to the different tools supporting ABMS. This may occasionally lead to greater complexity in interpreting the results with respect to other modeling approaches. To address this issue, an ABM semantics that adopts a continuous-time approach and a next-event time advance simulation algorithm has been formally defined and presented. Such an approach may lead to high computation times as it requires recalculations of activity rates for all the agents after each event. In this preliminary study, we exploit the FLAME GPU framework to evaluate the benefits that GPU computing may bring to the performance of our simulation algorithm. © 2025 IEEE.

关键词： Program processors

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Post Quantum Cryptography Research Lines in the Italian Center for Security and Rights in Cyberspace 24th

Post Quantum Cryptography Research Lines in the Italian Cent...

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24th international conference on Embedded computer Systems: Architectures, modeling, and simulation

作者： Barenghi, Alessandro Pelosi, Gerardo Politecn Milan I-20133 Milan Italy

ISBN: (纸本)9783031783791;9783031783807

The Italian foundation for Security and Rights in Cyberspace (SERICS) is in charge of managing the current, broad range, research in a variety of computer security domains, ranging from strictly computer related aspects, such as OS and Virtualization security, to the development of new cryptographic techniques, up to tackling human, social and legal problems related to computer security and privacy. The SERICS project is founded by the Italian National Recovery and Resilience Plan (NRRP), which in turn receives funding from the EU - NextGenerationEU programme. The SERICS foundation is managing the STRIDE project, to tackle the aforementioned research challenges. In the context of the STRIDE projects, a cascade call was made to tackle specific aspects of the overall reseach challenges. The two-years AQuSDIT project, winner of the aforementioned cascade call, aims to tackle the current open problems in the digital identity realm, with a particular focus on resistance to quantum computer-based attacks, and ledger-based technologies for identification and supply chain tracking. In this context, the research activities at Politecnico di Milano focus on the design of post quantum cryptosystems, and their secure and efficient realization as hardware components, either in the form of full accelerators, or support to existing computing infrastructures. In the following, we will present an overview of the research activities of the 2-year AQuSDIT project, together with an outlook on the first research results which have been obtained by the group of participants from Politecnico di Milano.

关键词： computer security Cryptography Post quantum cryptography

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A Cost Effective Sustainable Autonomous Unmanned Surface Vehicle for Automated Water Surface Cleaning

A Cost Effective Sustainable Autonomous Unmanned Surface Veh...

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2024 IEEE international conference on modeling, simulation and Intelligent Computing, MoSICom 2024

作者： Pathak, Abhinav Haroon, Mohammed Raju, Manogna Shetty, Shivani Rege, Kavvya Shetty, Shanell Kalaichelvi, V. Bits Pilani Department of Computer Science Dubai Campus Dubai United Arab Emirates Bits Pilani Department of Electrical & Electronics Engineering Dubai Campus Dubai United Arab Emirates

ISBN: (纸本)9798331533311

This paper presents the IFOR CB-24, a fully automated unmanned surface vehicle (USV) designed for waterbody cleaning and quality testing. Utilizing edge computing, computer vision, and lightweight machine learning algorithms like the Random Forest Classifier, the USV navigates water surfaces, performs quality testing, and removes trash using a custom conveyor belt system. The design focuses on cost-effectiveness, computational efficiency, and environmental sustainability, offering significant advancements in automated waterbody management. © 2024 IEEE.

关键词： Unmanned surface vehicles

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BGHW Warehouse simulation - Virtual Reality Supports Prevention of Slip, Trip and Fall (STF) Accidents 14th

BGHW Warehouse Simulation - Virtual Reality Supports Prevent...

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14th international conference on Digital Human modeling and Applications in Health, Safety, Ergonomics and Risk Management (DHM) Held as Part of the 25th international conference on Human-computer Interaction (HCII)

作者： Wetzel, Christoph Lungfiel, Andy Nickel, Peter DGUV Expert Comm Trade & Logist FBHL German Social Accid Insurance Inst Trade & Logist Mannheim Germany German Social Accid Insurance IFA Dept Accid Prevent Digitalisat Technol Inst Occupat Safety & Hlth St Augustin Germany

ISBN: (纸本)9783031357404;9783031357411

Falls caused by tripping, slipping and missteps are an accident hotspot in both the professional and private environment. In addition to structural defects such as slippery floors or tripping hazards, the causes are often found in objects lying around and dirt, which could be avoided. Order and cleanliness are also well-known occupational safety measures, but they do not work across the board. In the area of occupational safety and health (OSH), employees can be sensitized to hazards and their consequences in a professional context and motivated to behave in a safe manner. The project 'BGHW Warehouse simulation' packs an old topic into new technologies - virtual reality (VR) - to reawaken interest in the problem. The aim is that the hazard is eliminated directly by the employee or at least a warning is pronounced, or a report is sent to the superior. Trainers support the application in supervised discussions. The development of an instructional application is presented following a structural design approach. The design of the VR technology considers the Warehouse simulation as an initial approach with more to come in different application domains. Experiences from the use of the simulator refer to different stakeholders and are presented and discussed. Considerations for further revisions are summarized.

关键词： Instructional design Gamification Game-based learning Slip trip and fall accident Virtual reality Human-system interactions Omnidirectional treadmill

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Research on Machine Learning-Assisted Pulse Discharge Plasma Catalysis for Methane-Carbon Dioxide simulation 12

Research on Machine Learning-Assisted Pulse Discharge Plasma...

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12th IEEE international conference on computer Science and Network Technology, ICCSNT 2024

作者： Li, Guomeng Li, Lun Qiao, Xin Liu, Wenxin Zhang, Chunlei Bai, Chengjie Shandong Normal University School of Physics and Electronic Science Jinan China

ISBN: (纸本)9798350350791

Due to the substantial complexity of plasma numerical simulation processes and the significant time required for operation, this paper establishes a dedicated dataset. It investigates deep learning-Assisted modeling methods for pulsed discharge plasma catalysis. By employing machine learning, we assess regression algorithms using K-fold cross-validation alongside the coefficient of determination (R2) metrics. We select the most effective Artificial Neural Network (ANN) to assist in plasma catalysis modeling. Notably, the ANN demonstrates multiple advantages, including improved efficiency and adaptability. To enhance prediction accuracy, we implement Bayesian Optimization (BO) for tuning the ANN parameters. Experimental results indicate that the outcomes derived from the ANN, optimized through Bayesian methods, align well with the numerical results from dynamic models. © 2024 IEEE.

关键词： Neural networks

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Classification of Rice Variant using Deep Learning

Classification of Rice Variant using Deep Learning

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2024 IEEE international conference on modeling, simulation and Intelligent Computing, MoSICom 2024

作者： Kumar, K Susheel Verma, Prem Kumari Chaurasia, Subham Singh, Nagendra Pratap Manipal Institute of Technology Bengaluru Manipal Academy of Higher Education Department of Information Technology Karnataka Manipal India National Institute of Technology Department of Computer Science and Engineering Punjab Jalandhar India Axis Institute of Technology and Management Department of Computer Science and Engineering Kanpur India

ISBN: (纸本)9798331533311

Rice is a popular crop in the world. This paper has constructed a model using deep Learning for classification. Classification is a critical process in identifying the class of an image. Here, the Rice dataset has been taken to classify the class of rice Breed. Image Classification is a complex process that is affected by various factors. The emphasis is placed on summarizing essential superior class procedures and the strategies used for improving classification accuracy. This paper uses the deep learning approach for classification, such as CNN, and some activation functions, such as ReLu Softmax with Dense layers. The classification process used various domains, such as Machine Learning and deep learning. In this model, five classes of rice breed have been taken and classified with an accuracy of 9 6%. © 2024 IEEE.

关键词： Adversarial machine learning

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