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 Review on Negative Capacitance Based Transistors

Abstract: Continuous scaling of transistor dimensions to satisfy the increasing demands for higher performance and energy efficiency over the last 50 years is leading the conventional field effect transistors (FETs) to their fundamental material and physical limits. Further improvement of transistor operation and reliability will require new technology and device structure like negative capacitance based transistor. Besides, the roadmap for silicon device technology is approaching the point, where radical material alternatives must be introduced. Negative capacitance based conventional transistor that is often viewed as an adverse effect of short channel lengths in the conventional metal oxide field effect transistors (MOSFETs) has emerged as a promising current injection mechanism to allow the reduction of operating voltage beyond the capabilities of the MOSFET technology. In this paper includes a review summarizing the progresses in the development of the negative capacitance technology, and the experimentally observed performances of different transistors.

Validation of decision-making in artificial intelligence-based autonomous vehicles

Abstract: The autonomous vehicle technology is considered as a significant market disruptor for multiple industries. However, to reach this potential and to be accepted by the public, autonomous vehicles mus...

Utilization of Data Mining for Generalizable, All-Admission Prediction of Inpatient Mortality

Abstract: The all-condition prediction of patient mortality at the time of hospital admission has significant clinical value and broader implications for patient care and clinical decision support capabilities. In this study we have applied machine learning models to predict inpatient mortality, that is whether a patient will die during the hospital stay, as predicted from a time near to admission. We have utilized an Agency for Healthcare Research and Quality-provided large dataset of hospital discharges, to develop and evaluate a number of machine learning models. We report on the performance of the best performing of these models, with the best performing model having an AUC score of 0.802. We also evaluate the generalizability of the models via evaluating these on a separate large dataset corresponding to a different time period. We describe the results and provide an analysis and discussion of their significance.

Reliable and practical fall prediction using artificial neural network

Abstract: The growing elder population has inspired remarkable research in the prevention of fall injuries. A reliable technique to predict fall incidence, along with a corresponding mobile phone app, is proposed in this paper. The technique combines the benefits of traditional medical history based paradigm and non-historical paradigm. The app analyzes single leg motion to predict if the carrying individual is about to fall with a desirably practical alert time, not too long like in the medical history based paradigm, not too short like in the non-historical paradigm. Furthermore, this approach utilizes leg motion instead of torso motion to gain considerable longer alert time. This fall prediction technique will be a perfect fit into a real time automated system for fall prevention.

Solid-State Circuit Breakers for D.C. Microgrid Applications

Abstract: With the significant changes that the energy sector has been facing in the past decades, microgrids have become a reality. D.C. microgrids are considered to be more reliable and stable, which makes it preferred over A.C. systems. However, it still faces challenges in its operation, which makes it necessary for finding an alternative protection system. New technologies are being studied and developed for protections of low and high voltage D.C. systems, and circuit breakers made with semiconductors can be applied as they are found to be faster and more efficient than the traditional mechanical breakers. This paper presents the reviews of the current technology and some applications that have been studied in the field recently.