Standards Research Data

 

The data include:

  • Demographic data of the participants including: gender, group of participation and number of years in the company.
  • Results of the use of Ethool including: expended time and subjective evaluation of if using a Likert of 5 points. Two different files are available corresponding to each iteration (prototype 1 and prototype 2).
  • Results of the SUS questionnaire for both iterations (prototype 1 and prototype 2).
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186 Views

The current dataset – crowdbot – presents outdoor pedestrian tracking from onboard sensors on a personal mobility robot navigating in crowds. The robot Qolo, a personal mobility vehicle for people with lower-body impairments was equipped with a reactive navigation control operating in shared-control or autonomous mode when navigating on three different streets of the city of Lausanne, Switzerland during farmer’s market days and Christmas market. Full Dataset here: DOI:10.21227/ak77-d722

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1853 Views

This dataset presents collisions between a service robot - Qolo - and pedestrian dummies: male adult Hybrid-III (H3) and child model 3-years-old (Q3). We present a set of collision scenarios for the assessment of pedestrian safety, considering possible impacts at the legs for adult pedestrians, and legs, chest and head for children.

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246 Views

Each record in the dataset includes 7 fields:

UserID, CurrentChannel, NextChannel, Date, TimeSection, StartTime, Duration. 

The meanings of them are respectively as follows,

1. UserID : the number of a user, sorted in descending order by the number of channels he/she has switched during the period of time; [1, 13246].

2. CurrentChannel: the channel ID viewed by the user in the current time section.

3. NextChannel: the channel ID which the user would view in the next time section.

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280 Views

The data are associated with a submitted journal paper.

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112 Views

Intracellular organelle networks such as the endoplasmic reticulum (ER) network and the mitochondrial network serve crucial physiological functions. Morphology of these networks plays critical roles in mediating their functions.Accurate image segmentation is required for analyzing morphology of these networks for applications such as disease diagnosis and drug discovery. Deep learning models have shown remarkable advantages in accurate and robust segmentation of these complex network structures.

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2453 Views

Image : Image was made by me for other International Contest (held by some Medical Institute,USA in the year 2021), 'An intuitive of electromagnetic radiation flowing over epithelial tissue'.

This is an open-access page. All content can be freely downloaded after sign-up. This webpage contains datasets and models, which are in support of my Research, Discovery and Claim. 

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3570 Views

The data are associated with a submitted journal paper.

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141 Views

This dataset contains the data associated with the electrically equivalent model of the IEEE Low Voltage (LV) test feeder for use of the distribution network studies. This dataset is for the letter entitled:" A Reduced Electrically-Equivalent Model of the IEEE European Low Voltage Test Feeder".

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2609 Views

This is a large Chinese taxonomic knowledge base, which is translated from Probase by the neural network.

It has 11,292,493 IsA pairs with an accuracy of 86.6%.

 

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115 Views

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