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Physical Sciences and Mathematics Commons

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Articles 1 - 5 of 5

Full-Text Articles in Physical Sciences and Mathematics

Wing Design Using Sail, Leonid Scott Jul 2019

Wing Design Using Sail, Leonid Scott

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

In engineering spaces where modeling is difficult, engineers seek a variety of well performing solutions in order to concentrate resources on promising areas of the problem space. We call this process illumination. Gaire et al have designed an algorithm specifically for illumination of problem spaces where the underlying model is computationally expensive. This algorithm, Surrogate Assisted Illumination (SAIL) uses an evolutionary algorithm called MAP-Elites to do illumination. However, SAIL introduces a Gaussian process to simulate the computationally expensive model, and Bayesian optimization for quality control of the Gaussian process. SAIL has demonstrated potential for finding a variety of well performing …


Tools To Improve Interruption Management, Matthew R. Munns Jul 2019

Tools To Improve Interruption Management, Matthew R. Munns

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Interruptions carry a high cost, especially to software developers. To prevent unnecessary interruptions, several technologies are being explored that can help manage the timing of interruptions, such as displaying the interruptibility of a worker to their peers. Relatively simple algorithms utilizing computer interaction data have been created and used successfully in the workplace, while technology using bio-metric emotion recognition to detect the interruptibility of a user is also being developed.


Single Image Super-Resolution, Yujing Song Feb 2019

Single Image Super-Resolution, Yujing Song

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

Super-Resolution (SR) of a single image is a classic problem in computer vision. The goal of image super-resolution is to produce a high-resolution image from a low-resolution image. This paper presents a popular model, super-resolution convolutional neural network (SRCNN), to solve this problem. This paper also examines an improvement to SRCNN using a methodology known as generative adversarial net- work (GAN) which is better at adding texture details to the high resolution output.


Smart Parking Systems Design And Integration Into Iot, Charles M. Menne Feb 2019

Smart Parking Systems Design And Integration Into Iot, Charles M. Menne

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

This paper looks at two smart parking reservation algorithms, and examines the ongoing efforts to connect smart systems of different domains in a city's infrastructure. The reservation algorithms are designed to improve the performance of smart parking systems. The first algorithm considers the distance between parking areas and the number of free parking spaces in determining a parking space. The second algorithm uses distance between parking areas and driver destination, parking price, and the number of unoccupied spaces for each parking area. Neither of these smart parking systems cover how they could fit into a larger scale smart system. As …


Requirements Practices In Software Startups, John D. Hoff Feb 2019

Requirements Practices In Software Startups, John D. Hoff

Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal

In a dynamic environment full of uncertainties in software startups, software development practices must be carefully approached. It is vital that startups determine the right time to make advancements and evolve their company to the next level. We will discuss the importance of requirements practices in startups and their impact on company culture, work environments, and product quality.