Florida Polytechnic University

About: Florida Polytechnic University is a education organization based out in Lakeland, Florida, United States. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 302 authors who have published 538 publications receiving 6549 citations. The organization is also known as: Florida Poly.

A simulation-based fuzzy multi-attribute decision making for prioritizing software requirements

Abstract: It is well known that most of the approaches proposed in recent research to prioritize software requirements have not been widely adopted. These approaches are too complex and time consuming, or inconsistent and difficult to implement. This paper proposes a new approach to prioritize requirements that is practical and easily implementable. Whereas most proposed approaches quantify requirements in precise and crisp parameters, this paper takes in consideration the imprecise nature of requirements by modeling their attributes as fuzzy variables. As such, these variables are integrated into a fuzzy multi-attribute decision making problem in which the requirements represented as attributes are ranked via the expected value operator of a fuzzy variable. The expected values of the attributes in the problem are computed by numerical simulation. This approach is easily extendable to include other attributes and can be easily customized as a decision making tool for software project managers.

Machine Learning-Based Prediction of Prolonged Length of Stay in Newborns

Abstract: The ability to predict prolonged length of hospital stay for newborn children has clinical value as an indicator of newborn health status but also can assist in such health system resource considerations as improved utilization of hospital wards and beds. In this paper, we describe the application of machine learning-based prediction to a Healthcare Cost and Utilization Project dataset and report on the performance of various developed predictive models. Via only utilizing administrative data and minimal clinical data available near to the time of admission/birth, we are able to demonstrate high performing models. The use of HCUP data for building newborn prolonged length of stay models potentially applicable across health care providers is an important contribution, and additionally the models represent high-performing models in the field of published predictive models of newborn length of stay in general.

Hollow Core Inhibited Coupled Antiresonant Terahertz Fiber: A Numerical and Experimental Study

Abstract: In this article, a hollow core antiresonant photonic crystal fiber is analyzed for terahertz applications. A numerical analysis of the proposed fiber is first carried out to minimize coupling between the core and cladding modes. The modeling of the scaled-up and inhibited coupling fiber is carried out by means of a finite element method, which is then demonstrated using a Zeonex filament fiber, fabricated by fused deposition modeling of 3-D printing technology. The simulation is carried out to analyze both the transmission and possibility of refractometric sensing, whereas the experimental analysis is carried out using terahertz time-domain spectroscopy, and supports our numerical findings, illustrating how the proposed fibers can be used for low-loss transmission of terahertz waves. The simplicity of the proposed fiber structures facilitates fabrication for a number of different transmission and sensing applications in the terahertz range.