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The dataset includes the Stanford Bunny, Elephant, and Pony models, which have been processed with added noise to adapt to the proposed algorithm. Additionally, the data encompasses point clouds of residential areas obtained by LIDAR, also subjected to noise addition. This comprehensive dataset, with its various models and point clouds, serves to thoroughly test and validate the robustness and effectiveness of the proposed algorithm in handling noisy data from different sources.

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This is a data set about a practical explicit-time controller designing for a MIMO robotic system with proportional feedback. The robotic parameters are as follows: the weight is 35 KG; the arm span is 646 mm; the sample time is 0.0005s; the motor speed is 3000 RPM; the current signal amplification ratio is 1000; the motor maximum torque is [1.27, 1.27, 0.64, 0.318, 0.318, 0.159]^T (N \cdot m); the transmission ratio is [81.7853, 101.0453, 101.1892, 81.6735, 80.9486, 51.0270]^T.

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The noisy nanopore channel is introduced as a model of the nanopore sequencer in DNA storage that includes inter-symbol interference, sample duplications, and measurement noise. Information rates of the noisy nanopore channel with Markov sources are computed numerically based on a Monte Carlo technique that builds upon existing techniques for finite-state channels. However, the analogous technique for channels with duplications poses a challenging problem from an algorithmic perspective.

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We report on the fabrication and micro-transfer printing of InGaAs/InP avalanche photodiodes onto silicon substrates. A process flow was developed to suspend the devices using semiconductor tethers. The devices were characterised in linear mode operation both before suspension and after printing. Despite the additional fabrication steps required and the physical nature of the micro-transfer printing process, the electrical characteristics of the devices were preserved and no degradation in the devices’ optical performance was measured.

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This is a accompanied supplement to the study. First, a short presentation is given from a study on fracture diagnosis using electrical logging. In this study, substandard fracture fillers had a negative impact on the signal results. It was one of the motivations for this study. Second, we give the detailed form of the formula for the electrical properties of the mixture and a link to the literature. Third, we give a simulation test using coal coke fracture fillers, which mainly considers the mechanical properties of coal coke.

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A series of experiments including torque output tests, transparency tests, cardiopulmonary exercise tests and surface electromyography tests with five healthy subjects (height, 1.76 ± 0.05 m; weight, 72.5 ± 7.26 kg; age, 27.2 ± 2.86 years; all male) to validate the effectiveness of the SPURS. All participants provided written informed consent to participate in the study.

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Dynamic nonlinear equations (DNEs) are essential for modeling complex systems in various fields due to their ability to capture real-world phenomena. However, the solution of DNEs presents significant challenges, especially in industrial settings where periodic noise often compromises solution fidelity. To tackle this challenge, we propose a novel approach called Periodic Noise Suppression Neural Dynamic (PNSND), which leverages the gradient descent approach and incorporates velocity compensation to overcome the limitations of the traditional Gradient Neural Dynamic (GND) model.

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196 Views

The development of metaverses and virtual worlds on various platforms, including mobile devices, has led to the growth of applications in virtual reality (VR) and augmented reality (AR) in recent years. This application growth is paralleled by a growth of interest in analyzing and understanding AR/VR applications from security and performance standpoints. Despite this growing interest, benchmark datasets are lacking to facilitate this research pursuit.

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This Matlab code allows the reproduction of the robot dynamics identification experiment results. It produces a .csv file corresponding to the table with a summary of results which can be used for the comparison of the algorithms.

Here is the abstract of the work:

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