The rapid evolution of information systems and the surge in data generation and dissemination have fostered the emergence of Electronic Health Records (EHRs). Specifically, blockchain-enabled EHRs are revolutionizing ...
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The proceedings contain 23 papers. The special focus in this conference is on Architecture of Computing systems. The topics include: The Power of Training: How Different Neural Network Setups Influence the E...
ISBN:
(纸本)9783031661457
The proceedings contain 23 papers. The special focus in this conference is on Architecture of Computing systems. The topics include: The Power of Training: How Different Neural Network Setups Influence the Energy Demand;an Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing;Modifiable Artificial DNA - Change Your System’s ADNA at Any Time;From Structured to Unstructured: A Comparative Analysis of computer Vision and Graph Models in Solving Mesh-Based PDEs;enhancing Maritime Behaviour Analysis Through Novel Feature Engineering and Digital Shadow Modelling: A Case Study in the Kiel Fjord;Synthesizing Training Data for Intelligent Weed Control systems Using Generative AI;towards the Online Reconfiguration of a Dependable Distributed On-Board computer;An Organic Computing Approach for CARLA Simulator;Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity;On-the-Fly CT Image Pre-processing on MPSoC-FPGAs;AccProf: Increasing the Accuracy of Embedded Application Profiling Using FPGAs;accelerating WebAssembly Interpreters in Embedded systems Through Hardware-Assisted Dispatching;Exploring the ARM Coherent Mesh Network Topology;comparison of a Binary Signed-Digit Adder with Conventional Binary Adder Circuits on Layout Level;Case Studies on the Impact and Challenges of Heterogeneous NUMA Architectures for HPC;a Hierarchical modeling Approach for Assessing the Reliability and Performability of Burst Buffers;Generative-Based Algorithm for Data Clustering on Hybrid Classical-Quantum NISQ Architecture;improving Memory Dependence Prediction with Static Analysis;Atalanta: Open-Source RISC-V Microcontroller for Rust-Based Hard Real-Time systems;software-Based Erasure-Tolerant Coding with Buffering and Compression;determination of Optimal H-Matrices for 2-Bit Error Correcting Codes.
This paper focuses on explaining the results of Recommender systems, that aim at suggesting, for a given user, the most accurate products, among a given set of available products, and modeling how different types of u...
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This manuscript presents, an implementation for the modeling of graphene-based frequency-dispersive materials based on piecewise linear recursive convolution scheme is proposed. Moreover, the time-varying character of...
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The Internet of Things (IoT) is driving the growing demand for IoT devices or objects in the connected digital home to improve aspects such as energy efficiency management, comfort, perimeter security, care or telemed...
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Due to the nature of drilling operations, there are several companies collecting data at the rig. The data acquisition system of each com-pany applies its own timestamp to the data. Subsequent aggregation of data (for...
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Due to the nature of drilling operations, there are several companies collecting data at the rig. The data acquisition system of each com-pany applies its own timestamp to the data. Subsequent aggregation of data (for example, in a data repository) relies on synchronized timestamps applied to the different data sources to correctly collate the data. Unfortunately, synchronized timestamping is rarely achieved. In this paper, we document the different sources of errors in timestamping of data and provide guidelines to help mitigate some of these causes. There are many reasons for the unsynchronized timestamping of data from different sources. It can be as simple as clock synchronization at the rig;each data-providing or-producing company has an independent clock. It can also be due to where the timestamp is applied, for example, at the data source or on data reception. Additionally, it can be due to how the timestamp is applied-at the start of the sampling interval, the midpoint, or the end. Some of the communication methods used at the wellsite, such as mud pulse telemetry that is used to transmit downhole measurements to the surface, have a high, nonstationary latency and the actual acquisition time may vary significantly from the received time. Not correcting the reception time for the transmission delay can result in erroneous timestamping of downhole-acquired *** of derived data (data computed from two or more sources) is problematic if the data sources are *** of clocks within the data acquisition network is therefore extremely important. The resolution of time synchronization depends on purpose;motion control of the rig equipment (for example, the hoist) demands high-resolution timekeeping. However, for the purposes of timestamping acquired data, synchronization to a network time server (a computer with access to a reference clock that distributes the time of day to its client computers over a network) with a resolution
This paper reports on an efficient approach within the control of the school education process. Namely, we use the discrete Markov chain for a system with fuzzy states that based on processing data from time series (a...
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The analysis of existing methods for building the 3D surfaces is carried out. It is taken into account the advantages and disadvantages of the described methods. The kinematic model is described in detail. The algorit...
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The proceedings contain 105 papers. The special focus in this conference is on Numerical Computations: Theory and Algorithms. The topics include: Resource Allocation via Bayesian Optimization: an Efficient A...
ISBN:
(纸本)9783031812408
The proceedings contain 105 papers. The special focus in this conference is on Numerical Computations: Theory and Algorithms. The topics include: Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning;extended Optimal Control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep Learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance;a Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global Optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms;an Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation systems;GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large systems of Nonlinear Equations;effective Resistance Based Community Detection in Complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic Programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal Control of Assets and Liabilities by a Bank;optimal Control for Stochastic Multi-agent systems With the Use of Parallel Hybrid Genetic Algorithm;DC Optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP);miniaturisation of Binary Classifiers Through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear Programming Under Interval Uncertainty;machine Learn
The proceedings contain 105 papers. The special focus in this conference is on Numerical Computations: Theory and Algorithms. The topics include: Resource Allocation via Bayesian Optimization: an Efficient A...
ISBN:
(纸本)9783031812460
The proceedings contain 105 papers. The special focus in this conference is on Numerical Computations: Theory and Algorithms. The topics include: Resource Allocation via Bayesian Optimization: an Efficient Alternative to Semi-Bandit Feedback;multi-Objective and Multiple Information Source Optimization for Fair & Green Machine Learning;extended Optimal Control Problem for Practical Application;explainable Process Deviance Discovery with Data-Efficient Deep Learning;line Search Stochastic Gradient Algorithm with A-priori Rule for Monitoring the Control of the Variance;a Machine Learning Approach to Speed up the Solution of the Distributor’s Pallet Loading Problem;combined First- and Second-Order Directions for Deep Neural Networks Training;constrained Global Optimization by Smoothing;the Unreasonable Effectiveness of Optimal Transport Distance in the Design of Multi-Objective Evolutionary Optimization Algorithms;an Improved Modified Jaya Optimization Algorithm: Application to the Solution of Nonlinear Equation systems;GPU Acceleration of the Enhanced Jaya Optimization Algorithm for Solving Large systems of Nonlinear Equations;effective Resistance Based Community Detection in Complex Networks;a Comparison of Formulations for Aircraft Deconfliction;optimal Recombination Problem in Genetic Programming for Boolean Functions;heuristics with Local Improvements for Two-Processor Scheduling Problem with Energy Constraint and Parallelization;numerical Analysis of Optimal Control of Assets and Liabilities by a Bank;optimal Control for Stochastic Multi-agent systems With the Use of Parallel Hybrid Genetic Algorithm;DC Optimization in Adversarial Sparse Support Vector Machine;A First-Order Optimality Condition in Nonsmooth Generalized Semi-infinite Programming (GSIP);miniaturisation of Binary Classifiers Through Sparse Neural Networks;Price Forecasting for Bitcoin: Linear Regression and SVM Approaches;inside the Box: 0–1 Linear Programming Under Interval Uncertainty;machine Learn
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