Transportation

The T-Drive dataset,  published by the Microsoft Research Lab, was used to construct the network topology.

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 This dataset is in support of my 2 research papers ' '.

Preprint 

  • Part I :  
  • Part II : 

Related Claim : Novel ß Non-Linear Theory,  Novel ß Solar Boost Converter and Novel ß Power Boost DC-DC Converter  in Patent 'Novel ß 10-Axis Grid Compatible Multi-Controller' 

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Driving behavior plays a vital role in maintaining safe and sustainable transport, and specifically, in the area of traffic management and control, driving behavior is of great importance since specific driving behaviors are significantly related with traffic congestion levels. Beyond that, it affects fuel consumption, air pollution, public health as well as personal mental health and psychology. Use of Smartphone sensors for data acquisition has emerged as a means to understand and model driving behavior. Our aim is to analyze driving behavior using on Smartphone sensors’ data streams.

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This dataset was used in our work "See-through a Vehicle: Augmenting Road Safety Information using Visual Perception and Camera Communication in Vehicles" published in the IEEE Transactions on Vehicular Technology (TVT). In this work, we present the design, implementation and evaluation of non-line-of-sight (NLOS) perception to achieve a virtual see-through functionality for road vehicles.

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This dataset is in support of my research paper 'Comparison of ElectroMagnetic Emissions & Harmonic Analysis of 20 HP Motor Controlled by 3L NPC Inverter'.

Preprint : https://doi.org/10.36227/techrxiv.19687041.v1

This is useful for manufacturers and r&d engineers for product costing. For more information, results, conclusions on this, pls read research paper.

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The data collection was carried out over several months and across several cities including but not limited to Quetta, Islamabad and Karachi, Pakistan. Ultimately, the number of images collected as part of the Pakistani dataset were, albeit in a very small quantity. The images taken were also distributed across the classes unevenly, just like the German dataset. All the 359 images were then manually cropped to filter out the unwanted image background data. All the images were sorted into folders with names corresponding to the label of the images.

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This data set is shared to help the readers to reproduce the results (Figure 5 and Figure 6) of the manuscript entitled ‘’Online System Identification of a Fuel Cell Stack with Guaranteed Stability for Energy Management Applications’’ published by IEEE Transactions on Energy Conversion.

If you use this data, please cite the following paper :

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10 Use cases of containers sway speed along the X-axis during loading and unloading procedures using a quay crane in Klaipeda containers terminal.

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This dataset mainly consists 1) source codes of wide-attention and deep model (WADC); 2) datasets to evaluate the performance of the proposed model. Datasets are obtained from the Caltrans Performance Measurement System (CPeMS) http://pems.doc.ca.gov; and Fremont Bridge Bicycle Counter (FBBC), https://data.seattle.gov.

 

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