Electrical & Computer Engineering

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    Tuning a Bowtie Slot Antenna with an Equation Based Curve for 900 and 2400 MHz ISM Bands
    (North Dakota State University, 2010) Berge, Layne Albert; Reich, Michael T.; Aziz, Masud A.; Braaten, Benjamin Davis
    A dual-band bowtie slot antenna is proposed and designed for the 900 and 2400 MHz ISM bands. Using Rogers 4003C substrate (εr = 3.55) with a thickness of 1.6 mm, the antenna is produced and tested. A comparison is made between measured and simulated data from both a Method of Moments and Finite-Element method software packages. By using a parabolic curve to form the sides of the bowtie slot, the new antenna integrates features from a Vivaldi antenna into its design. Using these features, the antenna achieves dual-band operation while maintaining an omni-directional pattern similar to a normal bowtie slot. The parabolic sides of this bowtie slot antenna offers an additional design element for other CPW fed slot antenna designs.
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    Converting 3D Point Cloud Data into 2D Occupancy Grids suitable for Robot Applications
    (North Dakota State University, 2015) Huesman, Jacob
    Point clouds are a common data type in robotics applications. They allow a robot to “see” its environment. Unfortunately, its use for path planning is somewhat limited. There is just too much data for a robot to look through to calculate a path in a timely fashion. The objective of this research project is to create an algorithm that can take a 3D point cloud data set and convert it into a 2D occupancy grid, a much more common data type for navigation/path planning algorithms. The algorithm is named Cloud To Map. The development for this project proceeds according to the software development lifecycle. After extensive research, a list of requirements is developed. The algorithm is then designed and implemented. Subsequently, testing is done to ensure that the implementation satisfies the project requirements. During the testing phase, if any requirements are left unsatisfied, this process is then repeated. The research is ongoing. The first iteration of the algorithm is only capable of converting point clouds output by a specific application. Work is being done to allow it to convert point clouds from any source. While conversion algorithms like this one have been developed before, Cloud To Map has a broader range of applications. Upon completion, the project package will be published to ROS.org, which will make it available to developers around the world as a solution to the issue defined above.