This paper addresses a significant challenge that has emerged over the last few decades: the application of nature-inspired computing to develop advanced control systems in robotics. By drawing on concepts and algorit...
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ISBN:
(数字)9798350349290
ISBN:
(纸本)9798350349306
This paper addresses a significant challenge that has emerged over the last few decades: the application of nature-inspired computing to develop advanced control systems in robotics. By drawing on concepts and algorithms derived from biological phenomena, the research seeks to enhance the behavior and performance of mobile robots in diverse environments and operational scenarios. This study focuses on the application of living cell functions and communication models to design reconfigurable control systems that leverage parallel and concurrent data processing. To achieve this, the paper proposes the structure of a computing cell, a Venn diagram of the control system grounded in the membrane computing model, and a functional diagram of the control system. These foundations support the prototyping and deployment of a sensor array for managing the position of mobile robots within their workspace.
This paper proposes the use of adaptive algorithms for real-time data analysis. Adaptive algorithms are a set of practical methods used for acting information-driven optimization and studying. They have a wide variety...
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We present a data-driven, reduced-order model to analyze and predict high-power electric fields within a Backward Wave Oscillator (BWO) using Dynamic Mode Decomposition (DMD). DMD is trained on the high-fidelity data ...
This paper proposes a holistic framework for the development, management, and monitoring of secure web information systems. Emphasizing a secure software development life cycle (SDLC), resource management, and real-ti...
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The safety of the child in the stroller is at risk when there is a deviation in the parent's focus. The automatic movement in the baby strollers have led to many accidents and have been fatal to the baby. To overc...
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Student's attendance is important factor all the time in educational institution because a single absent is big difference in performance and disciplinary related activities. Making attendance with high accuracy i...
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This paper presents a real-time prototype system for monitoring the distraction levels of the driver. Due to the nature of high traffic conditions commonly seen nowadays, accidents are highly likely to occur as driver...
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This paper studies the problem of modeling multi-agent dynamical systems, where agents could interact mutually to influence their behaviors. Recent research predominantly uses geometric graphs to depict these mutual i...
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This paper studies the problem of modeling multi-agent dynamical systems, where agents could interact mutually to influence their behaviors. Recent research predominantly uses geometric graphs to depict these mutual interactions, which are then captured by powerful graph neural networks (GNNs). However, predicting interacting dynamics in challenging scenarios such as out-of-distribution shift and complicated underlying rules remains unsolved. In this paper, we propose a new approach named Prototypical Graph ODE (PGODE) to address the problem. The core of PGODE is to incorporate prototype decomposition from contextual knowledge into a continuous graph ODE framework. Specifically, PGODE employs representation disentanglement and system parameters to extract both object-level and system-level contexts from historical trajectories, which allows us to explicitly model their independent influence and thus enhances the generalization capability under system changes. Then, we integrate these disentangled latent representations into a graph ODE model, which determines a combination of various interacting prototypes for enhanced model expressivity. The entire model is optimized using an end-to-end variational inference framework to maximize the likelihood. Extensive experiments in both in-distribution and out-of-distribution settings validate the superiority of PGODE compared to various baselines. Copyright 2024 by the author(s)
Blockchain applications require metadata to be associated with the blockchain ledger. Metadata is often stored in centralized cloud servers, which limits the decentralization of the blockchain. Alternatively, metadata...
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In daily lives, people often use translators for cross-language translation, but the current translation system has the problem of translation accuracy, and its translation speed also has some limitations. Artificial ...
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