*.csv *.mat
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We consider the automation of polishing process for manufactured components, which is typically an iterative, multi-stage process that depends heavily on the practitioner’s expertise and visual inspection to guide decisions on polishing pad changes and fine-tuning of control parameters. We use a model-free, on-policy actor-critic reinforcement learning (RL) algorithm to determine the choice of pad, downforce, rotational speed, polishing duration for each stage, and the total number of polishing / inspection stages.
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We consider the automation of polishing process for manufactured components, which is typically an iterative, multi-stage process that depends heavily on the practitioner’s expertise and visual inspection to guide decisions on polishing pad changes and fine-tuning of control parameters. We use a model-free, on-policy actor-critic reinforcement learning (RL) algorithm to determine the choice of pad, downforce, rotational speed, polishing duration for each stage, and the total number of polishing / inspection stages.
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An extensive amount of carefully calibrated signal strength radio measurements at mmWave frequencies (28 GHz and 60 GHz) was performed across the 8089 m² seating area of Sausalito Stadium in Viña del Mar, Chile. Measurements were conducted with the seating area empty to ensure a static scenario. To properly characterize and represent the complete seating area of a typical stadium, 100 locations were carefully selected for measuring received power (mobile user locations, MU), and two different locations were chosen for the base station (BS).
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The researchers have conducted a strict and complete spectrum measurement from December 2006 to July 2007 at two locations in Aachen, Germany, and one location in Maastricht, Netherlands. The measured bands ranges from 20MHz to 6GHz and are composed of four subbands of each1.5GHz bandwidth. A resolution bandwidth of 200 kHz is chosen as a compromise between frequency resolution and the maximum supported span. So, each subband of 1.5GHz bandwidth includes 8192 measurement points, which will cause a small overlap between adjacent measurement channels.
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The given data contains the results from laboratory trials related to the paper "Optimizing Congestion Management andEnhancing Resilience in Low-Voltage Grids Using OPF and MPC Control Algorithms Through Edge Computing and IEC 61850 Standards" currently in publication in IEEE Access.
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This is an IMU dataset of human arm motions.
Users wear a smart watch that is equipped with IMU sensors.
A VR controller is attached to a smart watch to provide orientation and location ground truth.
The orientation and location ground truth is accurately calibrated using techniques proposed in 'Real-time tracking of smartwatch orientation and location by multitask learning'.
This dataset contains magnetic distortion feature in many data traces, which means the magnetic field does not always point to the same direction (i.e., north) in global reference.
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The robot arm system with no or low-accuracy Lagrange dynamic identification is a typical unknown-structure MIMO coupled system. It is difficult to achieve fast-convergence and high-accuracy control for this practical system, especially with no empirical pre-adjustment of the initial input direction. To solve this practical problem, a novel prescribed finite-time nondirectional AT-S fuzzy control method is proposed.
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Developing mind-controlled prosthetics that seamlessly integrate with the human nervous system is a significant challenge in the field of bioengineering. This project investigates the use of labelled brainwave patterns to control a bionic arm equipped with a sense of touch. The core objective is to establish a communication channel between the brain and the artificial limb, enabling intuitive and natural control while incorporating sensory feedback.
The project involves:
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Energy-storage-equipped static synchronous compensators (E-STATCOM) are crucial devices in a modern
power grid to regulate both the active and reactive power, thereby improving the efficiency and power
quality. Current controllers commonly used with E-STATCOM devices include proportional-integral (PI),
repetitive, and deadbeat controllers. However, each has application-dependent restrictions and therefore lack
the ability to achieve optimal operation. This paper presents a novel hybrid current controller that combines
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The dataset encompasses a diverse array of electrical signals representing Power Quality Disturbances (PQD), both in single and combined forms, meticulously generated in adherence to the IEEE 1159 guideline. Crucially, the dataset includes both raw data and corresponding labels, facilitating supervised learning tasks and enabling the development and evaluation of classification algorithms.
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