Crop yield prediction is a crucial and challenging task in agriculture due to the complex and non-linear parameters involved. It mainly depends on three fluctuating factors namely soil, weather and environment hence t...
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People usually use tools such as hand drawn or computer aided design (CAD) for interior design, but this method cannot effectively simulate real spatial effects, which is difficult to meet customers' needs for spa...
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The aim of this study is to construct a network literature acceptance evaluation model based on data mining technology, deeply explore the reading behavior characteristics, preferences, and interaction patterns of rea...
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The proceedings contain 31 papers. The special focus in this conference is on Service-Oriented computing. The topics include: Towards Improving Insurance Processes: A Time Series Analysis of Psychosocial Recovery Afte...
ISBN:
(纸本)9789819709885
The proceedings contain 31 papers. The special focus in this conference is on Service-Oriented computing. The topics include: Towards Improving Insurance Processes: A Time Series Analysis of Psychosocial Recovery After Workplace Injury Across Legislative Environments;Uncovering LLMs for Service-Composition: Challenges and Opportunities;transformative Predictive Modelling in the Business of Health: Harnessing Decision Trees for Strategic Insights and Enhanced Operational Efficiency;breaking Boundaries: Can a Unified Hardware Abstraction Layer Simplify Transformer Deployments on Edge Devices?;Improving Deep Learning Transparency: Leveraging the Power of LIME Heatmap;non-expert Level Analysis of Self-adaptive systems;federated Data Products: A Confluence of Data Mesh and Gaia-X for Data Sharing;XPS++: A Publish/Subscribe system with Built-In Security and Privacy by Design;on Rounding Errors in the simulation of Quantum Circuits;linear Structure of Training Samples in Quantum Neural Network Applications;towards Higher Abstraction Levels in Quantum computing;hybrid Data Management Architecture for Present Quantum computing;quantum Block-Matching Algorithm Using Dissimilarity Measure;some Initial Guidelines for Building Reusable Quantum Oracles;Carbon-Awareness in CI/CD;smart Public Transport with Be-in/Be-out system Supported by iBeacon Devices;towards a systematic Comparison Framework for Cloud Services Customer Agreements;formalizing Microservices Patterns with Event-B: The Case of Service Registry;privacy Engineering in the Data Mesh: Towards a Decentralized Data Privacy Governance Framework;towards a Taxonomy and Software Architecture for Data Processing and Contextualization for the Internet of Things;advanced Serverless Edge computing;immersive 3D Simulator for Drone-as-a-Service;SLA-Wizard - Automated Configuration of RESTful API Gateways Based on SLAs;The IDL Tool Suite: Inter-parameter Dependency Management in Web APIs;smelling Homemade Crypto Code in Microservi
In the last decade, the service of vehicular networks has benefited from the rapid development of advanced communication and computing technologies including edge computing. For vehicular network operators, it is valu...
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The proceedings contain 19 papers. The special focus in this conference is on Mathematical Modeling and scientificcomputing. The topics include: Optimizing Trajectory Tracking Algorithms by Evolutionary Procedure on ...
The proceedings contain 19 papers. The special focus in this conference is on Mathematical Modeling and scientificcomputing. The topics include: Optimizing Trajectory Tracking Algorithms by Evolutionary Procedure on Real Data with Simulated Measurements;Computational and Analytical Approaches for DNA Methylation Pattern Modeling;Phoenix-OC: Applied Optimal Control using Advanced Structure Exploitation and Multi-Level Parallelism;modeling of Cerebral Blood Flow Autoregulation Using Intracranial Pressure Estimation by means of a State Observer;non-integer Approach to Modelling Compartments of Cardiovascular Circulatory system;A Mathematical Introduction to SVMs with Self-Concordant Kernel;convolutional Neural Networks Application for an Average Thermodynamic Characteristics Calculation of Spin Glasses;numerical Algorithm of Effective Cancer Treatment Based on the Fisher-Kolmogorov Equation;interactive Software for simulation of Oxygen Transport from Capillaries to Brain Tissue of Preterm Infants;Classification Algorithm for Creating Optimal Questionnaires in Life Sciences and for AI;3D Cellular Automata-Based Model of Bacterial Biofilm Formation with Developed Surface Spreading Mechanism;the Evolution Model of Cultured Bacteria with External Growth Inhibition: Computational Techniques and in silico Studies;linear Differential Games with Multi-Dimensional Terminal Target Set: Geometric Approach;Performance Analysis of Parallel Programs with RAPIDS as a Framework of Execution;aircraft Flows Merging: Velocity Control and Interactions between Air Traffic Controller and Pilot;towards computing Suboptimal Controls in a Zero-Sum Linear-Quadratic Differential Game: Artificial Parameter Approach.
As an important course in mechanical engineering, it is necessary to carry out classroom lectures, experiments, and simulations in the form of large-scale homework based on scientific research projects in the course...
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With the number of users that use mobile devices for frequent transactions increasing rapidly, it is a great challenge to guarantee the credibility of transactions. Blockchain is regarded as a practical technology for...
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Detectors applying sensor technology are popular with people. Sensor technology is an advanced, scientific and intelligent technology, just like human sensory system, which can feel the changes of the external environ...
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High-fidelity network simulations provide insights into new realms for high-performance computing (HPC) architectures, although at a high cost. Surrogate models offer a significant reduction in runtime, yet they canno...
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ISBN:
(纸本)9798400700309
High-fidelity network simulations provide insights into new realms for high-performance computing (HPC) architectures, although at a high cost. Surrogate models offer a significant reduction in runtime, yet they cannot serve as complete replacements and should be only used when appropriate. Thus the need for hybrid modeling, where high-fidelity simulation and surrogates run side-by-side. We present a surrogate model for HPC networks in which packets bypass the network, and the network state itself is suspended when switching to the surrogate. To bypass the network, every packet is scheduled to arrive at a predicted time in the future estimated from historical data;to suspend the network, all in-flight packets are delivered to their destinations, but they are kept in the system to awaken as zombies when switching back to high-fidelity. Speedup for a hybrid model is relative to the proportion of surrogate to high-fidelity. We obtained a 3x speedup for a simulation where 70% of virtual time was spent in surrogate mode. When considering the surrogate portion only, the speedup jumps to nearly 20x on a uniform random network traffic example. The accuracy of the overall simulation increased when the network state was suspended instead of ignored, which demonstrates the need for modeling the network state when transitioning from surrogate back to high-fidelity mode.
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