Nowadays, artificial intelligence (AI) has made significant contributions to the identification and modeling of physical systems across a wide range of scientific disciplines. However, integrating domain knowledge int...
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ISBN:
(纸本)9798350315684
Nowadays, artificial intelligence (AI) has made significant contributions to the identification and modeling of physical systems across a wide range of scientific disciplines. However, integrating domain knowledge into an AI model has always been imperative in order to ensure a more accurate representation and capture all the pertinent system information. In this context, the initial value of a physical system can have a significant impact on the dynamic behavior of that system, particularly from a control design perspective, given its effect on transient behavior and system stability. The present study examines how the system's initial values can affect the output forecasting of the system by employing a Long-Short-Term Memory Recurrent Neural Network (LSTM-RNN). In this regard, a novel architecture design and data acquisition framework have been presented with the aim of providing a precise AI model to address the challenges related to the control design. The inclusion of the initial value as an input to the LSTM architecture is intended to exhibit how it potentially impacts the network's ability to capture long-term dependencies and make accurate predictions. Based on the study findings, considering the initial values of the system to improve the effectiveness of LSTM-RNN, ultimately leads to superior accuracy and predictive capabilities network.
In recent years, with the continuous development of solar photovoltaic power generation, energy storage technology, and electric vehicle technology, the photovoltaic-storage-charging integrated microgrid formed by the...
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ISBN:
(纸本)9798350375145;9798350375138
In recent years, with the continuous development of solar photovoltaic power generation, energy storage technology, and electric vehicle technology, the photovoltaic-storage-charging integrated microgrid formed by the combination of photovoltaic, energy storage, and electric vehicle has become a research hotspot. However, photovoltaic power generation is not controllable due to the influence of light intensity, electric vehicles are uncertain due to the influence of electricity consumption habits, and the large-scale access of photovoltaic, energy storage, and charging resources poses a severe challenge to the processing speed and analysis capabilities of grid-connected power control. Edge computing can process data near the end of the network where the data is generated, relieving the pressure of global regulation of the cloud computing platform. Therefore, this paper proposes a photovoltaic-storage-charging integrated microgrid collaborative control architecture based on edge computing, which effectively improves the grid connected power control and data processing efficiency of the photovoltaic-storage-charging integrated microgrid, and has certain reference value for the economic operation of the microgrid.
When using traditional pipeline positioner for welding, manual welding is required, which has a series of adverse factors. This article aims to install an electronic control system on traditional positioner to achieve...
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In recent years, genetic algorithms (GAs) have been combined with artificial neural networks (ANNs) to increase the search space for desired outputs. However, a research gap remains in optimising the ANN before incorp...
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This research presents an efficient implementation of modern computer technology to control mold vacuum treatment. The authors propose technical measurement and control solutions to process information on the crystall...
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The proceedings contain 56 papers. The topics discussed include: application of PID controller for controlling paddy temperature in hot air pneumatic drying process;test tube assortment using SCARA robot platform;desi...
ISBN:
(纸本)9798350373172
The proceedings contain 56 papers. The topics discussed include: application of PID controller for controlling paddy temperature in hot air pneumatic drying process;test tube assortment using SCARA robot platform;design of an unmanned bee breeding box control system based on stm32;lower limb continuous motion recognition based on DCWT-residual attention network for sEMG signals;torque measurement using regression-based calibration approaches;a mobile robot perspective;fluctuation analysis of electromagnetic force in magnetic levitation planar motor;factor graph optimization for real-time positioning in unmanned driving;a WLS-based step-by-step identification method for industrial robot dynamics parameters;and an imitation learning-based approach for enabling plant-like tropic abilities in a redundant soft continuum arm.
This paper is situated at the intersection of digital choreography and human-centered interaction within the scope of virtual reality. Both disciplines are discussed under the frame of contemporary artistic practice, ...
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ISBN:
(纸本)9798400709944
This paper is situated at the intersection of digital choreography and human-centered interaction within the scope of virtual reality. Both disciplines are discussed under the frame of contemporary artistic practice, an endeavor to make an artistic work while appropriating skills in crafting and composition. The paper focuses on the creation practice in and for virtual reality and the making of an artwork rooted in movement and with a choreographic idea of embedding an improvisatory score into the interaction design. Therefore, the thinking of choreography expands into the design of the interactions in the virtual realm and falls into the subfield of digital choreography. To reflect on the agent-entangled practice of digital choreography within VR and to trace the roles of various performative, epistemic agents active within the creative process, the author introduces a notion of substitute performers. The methods of phenomenology of lived mediated experience and digital choreography are synthesized to optimize the artistic endeavor to design for diverse bodies. These are then combined with various ethnographic methods to provide insights into moving and dancing bodies in a mediated performative realm. These intertwined methods were an elemental part of the creative process of the VR artwork Skeleton Conductor XR Art which was designed to induce pleasure through improvisational engagement and cultivate kinaesthetic awareness.
The proceedings contain 63 papers. The topics discussed include: performance analysis of DC-DC boost converter with high gain;analysis of suspension beams for MEMS accelerometers: the effect of geometric parameters on...
ISBN:
(纸本)9798350355048
The proceedings contain 63 papers. The topics discussed include: performance analysis of DC-DC boost converter with high gain;analysis of suspension beams for MEMS accelerometers: the effect of geometric parameters on the sensitivity;optimizing solar panel selection: a comparative analysis using AHP, entropy, and equal weights in TOPSIS methodologies;design of 400KWp grid connected solar PV system for Bapatla Engineering College;enhancing color accuracy in virtual reality: processcontrol of DCI display using spectral sensor and active 3D glasses;a comparative analysis of different batteries technology on off-grid hybrid system;performance comparison of feature extraction techniques for power quality disturbances;and trajectory track and controlling of a quadcopter using optimization algorithm.
Robotic processautomation (RPA) is an emerging approach designed to automate repetitive human tasks through the use of software-based robots. In the context of business processes, RPA involves configuring these softw...
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Image recovery algorithms applied to imaging systems such as lensless imaging in end devices are a high-speed edge computingprocess. Diffraction recovery algorithms typically include operations such as FFT/IFFT, ampl...
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