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.

Performance Analysis of Squarely Packed Dimorphic MWCNT Bundle for High Speed VLSI Interconnect

Abstract: According to the demand of present era, carbon nanotubes are getting closer attention as VLSI high speed interconnects. This consequence drives us to conduct our research on the performance evaluation of different configurations of MWCNT bundle as interconnect based on the propagation delay estimation. Throughout this paper, we are going to propose our own configuration model, named Squarely packed Dimorphic MWCNT, develop mathematical model for different circuit elements i.e. Resistance, Capacitance and Inductance. Finally, we are going to put a decision regarding the configuration with better performance by simulating different configuration and different interconnect material using MATLAB.

Computational Security and the Economics of Password Hacking

Abstract: Internet Security is a growing issue within the modern world. One of the weakest links in computer security is the use and misuse of passwords. As knowledge and technology becomes more widely spread, the methods of hacking passwords become increasingly easier and more accessible. With so much data being protected by passwords, it is important that these passwords are properly protected and secure. In this paper we present numerous methods of hacking passwords, as well as preventative measures that you can take to prevent your passwords from being stolen or misused. Two new algorithms are presented under the category of brute force and dictionary attack and compared with John the Ripper, Cain & Abel, and HashCat algorithms.

Reduction of Forced Outages in Islanded Microgrids by Compensating Model Uncertainties in PV Rating and Battery Capacity

Abstract: Energy management systems for islanded microgrids often rely on predictions of energy availability and usage. Such predictions can be used to plan actions, such as shedding non-essential loads, so that critical loads continue to be served. However, uncertainties in the prediction models may lead to incorrect decisions, and subsequently jeopardize reliable operation of the microgrid. For a photovoltaic (PV) and battery based microgrid, uncertainties in the PV rating and the battery capacity model parameters can lead to otherwise avoidable outages. In this paper, techniques have been developed to identify and compensate for such model uncertainties. The approach uses differences between the actual and predicted data sequences to determine compensation factors to improve prediction accuracy. The developed techniques account for operating condition changes automatically, and no additional sensors are needed for their implementation. The method has been evaluated using data from rooftop irradiance and temperature sensors and the corresponding forecasts. It has been shown that the proposed techniques can improve the accuracy of the predictions and hence lead to more effective energy management decisions. Together with a pre-emptive load shedding strategy, the total outage time of the microgrid can be shortened by as much as 11% for the chosen scenario.

Nanomaterials for energy and environmental applications

Abstract: 1Florida Polytechnic University, 4700 Research Way, Lakeland, FL 33805, USA 2The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University, Mesa, AZ 85212, USA 3Department of Chemical Engineering and Materials Science, Amrita Vishwa Vidyapeetham, Amritanagar, Coimbatore 641112, India 4United Technologies Research Corporation, 411 Silver Lane, East Hartford, CT 06118, USA 5Department of Mechanical and Aerospace Engineering, New Mexico State University, Las Cruces, NM 88003, USA

Exploring patient, co-worker, and management burnout in health care: an empirical study.

Abstract: Previous work in services marketing reveals that much is to be gained by considering distinct types of employee burnout. The current work extends these findings into the health care environment by examining the antecedents and effects of patient, co-worker, and management burnout. It is suggested that the distinction among the various types of burnout are especially important in the increasingly competitive and stressful health care setting. Several hypotheses are derived from burnout, social support, and exchange theory, and an empirical study from a hospital setting is discussed. The results indicate that of the three burnout types, management burnout has the strongest influence on employee service delivery, job satisfaction, organizational commitment, and intentions to leave the health care organization. Implications for managers and suggestions for future research are discussed.