Sensors
This dataset is gathered by using Inertial Measurement Unit Sensor (IMU) (MPU-9250) positioned on the seat of vehicle (Van). This dataset represents the real time sensory data collected with the help of vehicle i.e. School Van on a road at different places in Punjab. The objective of this dataset is to provide an accurate data for plain road and a road with pits.
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This dataset curbs real time sensory data collected through different vehicles such as Cycle, Car, Bike and Bus on the humpty-dumpty road. This dataset is collected by using Inertial Measurement Unit (IMU) sensor (MPU-9250) placed on the seats of vehicle. Through some vehicles (Cycle and Bike) are not having place to keep sensor, but it was designed to handle all the hurdles of road having potholes. The dataset aims to tell the exact accuracy of pothole and plane road. This dataset can be used in future for government to allocate budget to repair the rough road.
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Research data and codes
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The Internet of Things and edge computing are fostering a future of ecosystems
hosting complex decentralized computations, deeply integrated with our very dynamic
environments. Digitalized buildings, communities of people, and cities will be the
next-generation “hardware and platform”, counting myriads of interconnected devices, on top of
which intrinsically-distributed computational processes will run and self-organize. They will
spontaneously spawn, diffuse to pertinent logical/physical regions, cooperate and compete,
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Clamp-on ultrasonic transit time difference flow meters provide opportunities for metering where it is impractical or undesirable to cut into an existing pipeline to install an alternative flow meter. Up until now, it has been difficult to perform this type of measurement on thin-walled metal pipes, due to the difficulty of interpreting the guided wave modes in the combined pipe wall and internal fluid system, but a new method has been reported recently that utilises these guided wave modes for flow measurement.
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This dataset provides a dataset of high resolution image-grade LiDAR SLAM in .bag format.
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For the interaction of humans with machines but also for the interaction of machines with the environment, e.g. in robotic manipulation tasks, large area sensors like sensor skins are of high interest. Capacitive sensor have become widely used for touch sensor and proximity sensors and are well suited for such large area sensing.
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In the present work, Prosopis Juliflora, an invasive alien plant species, is processed and converted into a useful biomass carbon material. For gas sensing application, SnO2 nanoparticles are anchored on the Prosopis Juliflora biomass carbon leaves (BML) using a sol-gel process. The BML/SnO2 nanocomposite is fabricated and tested for hazardous NO2 gas sensing applications. The biomass carbon support and uniform distribution of SnO2 nanoparticles enabled the adsorption/desorption of target gas on the surface of the nanocomposite.
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The number of private vehicles is still increasing from year to year. In order to limit environmental damage, a proper way of dealing with this trend is the introduction of intelligent automotive infrastructure. Besides traffic management solutions, smart parking guidance systems are important for reducing unnecessary traffic. For this, a key prerequisite are sensor networks that provide information about the occupancy state of every single parking spot in the parking infrastructure of high traffic targets e.g. nearby an airport or shopping mall.
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This data set was generated and used in determining the workability of a homemade Intelligent IoT Weather Station Using an Embedded System.
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