Standards Research Data
This is the raw data for the article "Algorithm for Gait Parameters Estimation Based on Heel-Mounted Inertial Sensors", which includes walking data recorded by IMUs and data recorded by an optical motion capture (OMC) system, where the experimental data consisted of three parts:
Validity Experiment Data includes gait data (both IMU and OMC) of 30 participants who were instructed to walk in a straight line within the motion capture area and return upon reaching the end to ensure a sufficient step count.
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This study presents a novel rapid bacterial detection method employing an organic complementary metal–oxide–semiconductor (O-CMOS) inverter fabricated with pentacene and PTCDI-C13. Various bacteria, including Escherichia coli (E. coli) O157, Staphylococcus aureus (S. aureus) ATCC25922, and Enterococcus faecalis (E. faecalis) SH-1051210, were tested on the inverters operating at an ultra-low voltage of 2 V.
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An experimental study was conducted on a high-voltage glass-type disc (LD-160) to investigate the effect of string arrangements on pollution and icing flashover characteristics. Two Artificial Neural Network (ANN) applications were developed to simulate and calculate the flashover voltage based on the experimental results. The test results showed that the inverted T-type arrangement can improve the pollution flashover voltage and increase the icing flashover voltage of insulator strings compared to the traditional arrangement of the I-string.
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We present a point cloud dataset, named Point Cloud Quality Dataset-Augmented Reality (PCQD-AR). It includs ten reference point clouds and their 90 distorted versions, which were encoded by the reference software of Video-based Point Cloud Compression (V-PCC) under different pairs of geometry and texture quantization parameters. We conduct a subjective test of point clouds in the augmented reality environment.
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This represents a comprehensive collection of data from a Automative manufacturing unit. This unit could be involved in a range of production activities, from assembly line manufacturing to more complex, multi-stage processes. The dataset is designed to capture various operational parameters that are crucial for analyzing and optimizing manufacturing processes.
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Clinical/Lab Data Quantitative Continuous age (years), height (cm), weight (kg), bmi (kg/m2) - Body Mass Index, hemoglobin
(g/dL) - Hemoglobin concentration, hba1c (%) - Glycated Hemoglobin, ast (U/L) -
Aspartate Aminotransferase, alt (U/L) - Alanine Aminotransferase, creatinine (mg/dL),
nt proBnp (pg/mL) - N-terminal pro b-type Natriuretic Peptide
Categorical Nominal gender (Male/Female), smoking status (Smoker/Non-smoker), htn (Yes/No) - Hypertension,
dm (Yes/No) - Diabetes Mellitus, ckd (Yes/No) - Chronic Kidney Disease
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The Army Cyber Institute (ACI) Internet of Things (IoT) Network Traffic Dataset 2023 (ACI-IoT-2023) is a novel dataset tailored for machine learning (ML) applications in the realm of IoT network security. This effort focuses on delivering a distinctive and realistic dataset designed to train and evaluate ML models for IoT network environments. By addressing a gap in existing resources, this dataset aims to propel advancements in ML-based solutions, ultimately fortifying the security of IoT operations.
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This paper proposes a novel low-bitrate animation codec leveraging pose-guided human video generation with on-the-fly training. On the encoder side, the whole sequence is divided into key and non-key frames. Instead of compressing the whole sequences, only the keyframes and pose information are compressed. On the decoder side, the non-key frames are generated using a novel pose-guided human video generation model. The model is trained on-the-fly using keyframes to learn the mapping from pose to full frames.
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The provided dataset appears to contain weather-related information for New Delhi Safdarjung, India, spanning from January 1, 2023, to July 21, 2023. The dataset includes the following columns: Station ID, Station Name, Date, Precipitation (PRCP), Average Temperature (TAVG), Maximum Temperature (TMThe dataset includes daily observations with information on precipitation and temperature. It seems that some values are missing (NULL values), and there are variations in the units used for precipitation AX), and Minimum Temperature (TMIN).
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This dataset is primarily intended for the submission of simulation files and code associated with the letter that has been submitted to IEEE-AWPL. The letter is titled 'Flatness Scanning and Superdirectivity in Planar Antenna Arrays: An Analysis and Design Approach using IDMBSA.'
For further details about the simulation, please contact via email: cschen1997@gmail.com.
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