In the article, a method of synthesizing stable control laws for ball and beam system in the presence of disturbances is presented based on synergetic control theory. the ball and beam system is a short mechanical sys...
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the proceedings contain 32 papers. the topics discussed include: ALR-LoRaWAN — an application-level retransmission management algorithm for LoRaWAN networks;using formal methods for on-the-fly time series verificatio...
ISBN:
(纸本)9798400708442
the proceedings contain 32 papers. the topics discussed include: ALR-LoRaWAN — an application-level retransmission management algorithm for LoRaWAN networks;using formal methods for on-the-fly time series verification;loom: a closed-box disaggregated database system;efficient synchronization of CRDTs using VCube-PS;generating realistic attack data for microservices: framework and case study;leveraging time series autocorrelation through numerical differentiation for improving failure prediction;third-party trackers in COVID-19 mobile applications can enable privacy leaks;joining parallel and partitioned state machine replication models for enhanced shared logging performance;a time-phased partitioned checkpoint approach to reduce state snapshot overhead;and parallel execution of transactions based on dynamic and self-verifiable conflict analysis.
Two key data mining methods are clustering and classification. the problem of classification involves categorizing object into one-to-many pre-established categories according to the characteristics of the object. Whi...
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this paper introduces an SVM algorithm for studying consumer behavior. this model is a new patternrecognition algorithm based on statistical principle. It has unique advantages in dealing with small samples, nonlinea...
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this project proposes a programmable logic-oriented algorithm to solve the difficult problem of coding generation of aircraft control system. the synchronous data flow computing model suitable for control system model...
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pattern matching has been extensively studied in the last few decades, owing to its great contribution in various fields such as search engines, computational biology, etc. Several real-life situations require pattern...
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Error estimation in multi-target tracking and robotic mapping is critical for algorithmic evaluation. In multi-target tracking and robotic mapping, both target or feature detection, as well as localization errors ofte...
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the proceedings contain 117 papers. the topics discussed include: detection of a novel dual attack in named data networking;fair DMA scheduler for low-latency accelerator offloading;multi-attribute decision-making met...
ISBN:
(纸本)9781665464970
the proceedings contain 117 papers. the topics discussed include: detection of a novel dual attack in named data networking;fair DMA scheduler for low-latency accelerator offloading;multi-attribute decision-making method based on interval intuitionistic trapezoidal fuzzy number to determine the expert weight: note: sub-titles are not captured in Xplore and should not be used;binary-level directed symbolic execution through pattern learning;an efficient metric-based approach for static use-after-free detection;a graph convolution neural network based method for insider threat detection;maintenance worker scheduling for charging pile fault: a multi-agent RL approach;towards secure bilateral friend query with conjunctive policy matching in social networks;structure-noise-aware anchor link prediction across social networks;file system to support secure cloud-based sharing;discovering agent models using process mining: initial approach and a case study;and towards agent-based simulation of the parallel trading market of pharmaceuticals.
Quantum Machine Learning is an emerging sub-field in machine learning where one of the goals is to perform patternrecognition tasks by encoding data into quantum states. this extension from classical to quantum domai...
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Aiming at the problems of poor visualization effect and system lag delay caused by the rendering of massive map label points, an optimization strategy combining visual optimization technology and point aggregation alg...
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