By using big data, we evaluated the user experience (UX) of cultural curation for a case study of the 2023 Hakka Expo in Taiwan (2023 HEIT). Attendees experienced a 360-degree virtual recreation of the curation, facil...
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With the continuous expansion of the application field of information processing technology, a continuous, unbounded, variable speed streaming data (i.e. big data stream) has appeared in more and more application fiel...
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The proceedings contain 59 papers. The special focus in this conference is on Current Problems of Applied Mathematics and Computer Systems. The topics include: Forced Longitudinal Oscillations of Vertical Rods with Co...
ISBN:
(纸本)9783031640094
The proceedings contain 59 papers. The special focus in this conference is on Current Problems of Applied Mathematics and Computer Systems. The topics include: Forced Longitudinal Oscillations of Vertical Rods with Concentrated Mass;method of Guaranteed Collision Avoidance with Multiple Unpredictable Target-Vessels;computer-Oriented Lyapunov Stability Criteria for Systems of Nonlinear Ordinary Differential Equations;asymptotic Estimates of the Horizontal Wind Retrieval Accuracy from Lidar Remote Sensing data;effect of Wind Field Deformation on the Wind Components Retrieval Accuracy from Lidar Measurements;on Vibration of Multi-span Continuous Beam in View of Rotational Inertia;load Balancing Methods for Distributed data Storage: Challenges and Opportunities;method for Detecting and Correcting Errors in Arithmetic Operations Based on Rank of a Number;toward Understanding Uncertainty in Fog-Cloud computing for Big data Storage and processing;simulation of a Coaxial Resonator of a Frequency-Selective Device for Communication Systems, Radio Navigation and Radar;analytical Review of Orchestration Methods for Distributed computing Systems Under Conditions of Dynamic Scaling;modeling of Density Properties of Subsiding Soils Under Explosive Impact;comparative Analysis of Error Correction Devices in Modular Redundant Codes;estimation of the Solution of a Spatial Parabolic Equation Describing Anisotropic Geological Systems;development of a Mathematical Model of the Software Solution «Bioeconomical Diagnostics of Health Protection»;fault Tolerant System for data Storage, Transmission and processing in Fog computing Using Artificial Neural Networks;A 17ps Two Channel TDC System Based on XILINX ZYNQ 7000 SoC;investigation of the Rank of Numbers Represented in the Residue Number System;power Consumption Modelling for Symmetric Block Encryption algorithms;methodology for Assessing the Security Risks of Cyber-Physical Systems.
Human-robot-collaboration (HRC) requires fast and reliable sensor data to ensure the safety of humans in the workspace. Current solutions for processing multi-modal sensor data in HRC are either highly performant in s...
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ISBN:
(纸本)9781665489218
Human-robot-collaboration (HRC) requires fast and reliable sensor data to ensure the safety of humans in the workspace. Current solutions for processing multi-modal sensor data in HRC are either highly performant in specific scenarios or offer more flexibility at the cost of decreased performance. Our GPU accelerated SensorClouds framework, however, combines both high flexibility and real-time performance. The architecture aids developers in quickly implementing complex HRC applications with multiple sensors by encapsulating all functionality into reusable modules. The resulting pipeline is optimized by the framework and executed in real-time.
In this paper, our main objective is to study, implement and compare different scheduling algorithms which is very important in increasing the Central processing Unit's efficiency. There are a total of 8 algorithm...
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Machine Learning and Big-data Analytics is each growing computing fields. Big data is, in reality, gaining attraction in all regions of Science and engineering. While those big-data units have the clean capacity, succ...
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Nowadays, Internet technology has rapidly spread to all over the world, which brings a large amount of information data, and how to achieve efficient processing in these rapidly growing heterogeneous data has become a...
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We summarize the results of the IEEE Bigdata2023 Cup: Object Recognition with Muon Tomography using Cosmic Rays - a data mining competition organized at the *** platform in association with the IEEE Bigdata2023 conf...
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The New York Times presents Wordle, a word game where players guess a 5-letter word in six attempts, receiving feedback after each guess. This paper presents a comprehensive study using an ARIMA time series prediction...
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With rapid development of vehicular sensing and mobile communication technologies, cooperative sensing becomes an emerging paradigm of future intelligent transportation systems (ITSs). This paper investigates a LiDAR ...
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ISBN:
(纸本)9798350358261;9798350358278
With rapid development of vehicular sensing and mobile communication technologies, cooperative sensing becomes an emerging paradigm of future intelligent transportation systems (ITSs). This paper investigates a LiDAR based cooperative sensing scenario in Vehicular Edge computing (VEC). Specifically, we present the system architecture, in which vehicles with on-board LiDAR are able to detect objects via local processing of the sensed point-cloud data, and the outputs can be further shared via vehicle-to-vehicle (V2V) /vehicle-to-infrastructure (V2I) communications and fused in edge nodes. Then, we formulate the Edge Assisted Task Offloading (EATO) problem by considering the heterogeneous computation and communication capacities of vehicles and edge nodes, aiming at minimizing the average delay of the cooperative sensing tasks. Further, we propose a Multi-Armed Bandit (MAB)-based algorithm to make task offloading decisions adaptively. Finally, we implement the system prototype and give a comprehensive performance evaluation, which demonstrates the effectiveness of the proposed algorithm.
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