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.

An Improved Approach in Core Point Detection Algorithm for Fingerprint Recognition

Abstract: Core Point Detection is used when comparison of two fingerprint based on alignment is done. To extract the core point is still open issue in fingerprint recognition. The success rate of fingerprint recognition as well as to speed up the process core point is used. The proposed core point detection algorithm follows four steps: normalization, ridge orientation estimation, smoothing and core point detection. To test the experimental result and performance of proposed algorithm carried out using FVC2000 and FingerDOS databases and prove that, the FMR and FNMR for FVC2000 is 2 and 1.2 and for FingerDOS is 0 and 1.67 respectively. The accuracy of FVC2000 is 98.4% and FingerDOS is 99.16%. The average execution time of FVC2000 is less than 0.72 and for FingerDOS is 0.25 second.

Exploring Carbon Nanotubes for VLSI Interconnects

Abstract: As a result of a decrease in cross-section, increases have been noted in several thermal and electrical properties of copper interconnects. To mitigate such concerns, new approaches are being considered for new wiring solutions for VLSI technologies. The incorporation of carbon nanotubes (CNTs) in VLSI design to replace existing interconnection material, may be an efficient and cost-effective evolution from current materials. Carbon nanotubes, more specifically multi-walled carbon nanotubes (MWCNT), have been identified as potential alternatives to diminish such concerns. This paper will delineate the shared and differing aspects of each of the CNT structures.

Physical Investigations on Bias-Free, Photo-Induced Hall Sensors Based on Pt/GaAs and Pt/Si Schottky Junctions.

Abstract: Hall-effect in semiconductors has wide applications for magnetic field sensing. Yet, a standard Hall sensor retains two problems: its linearity is affected by the non-uniformity of the current distribution; the sensitivity is bias-dependent, with linearity decreasing with increasing bias current. In order to improve the performance, we here propose a novel structure which realizes bias-free, photo-induced Hall sensors. The system consists of a semi-transparent metal Pt and a semiconductor Si or GaAs to form a Schottky contact. We systematically compared the photo-induced Schottky behaviors and Hall effects without net current flowing, depending on various magnetic fields, light intensities and wavelengths of Pt/GaAs and Pt/Si junctions. The electrical characteristics of the Schottky photo-diodes were fitted to obtain the barrier height as a function of light intensity. We show that the open-circuit Hall voltage of Pt/GaAs junction is orders of magnitude lower than that of Pt/Si, and the barrier height of GaAs is smaller. It should be attributed to the surface states in GaAs which block the carrier drifting. This work not only realizes the physical investigations of photo-induced Hall effects in Pt/GaAs and Pt/Si Schottky junctions, but also opens a new pathway for bias-free magnetic sensing with high linearity and sensitivity comparing to commercial Hall-sensors.

ROS-MATLAB Interface and Setup for a Fault Tolerant Robotic System Using Human Robot Interaction

Abstract: A Fault Tolerant Control system is a crucial aspect to any type of application mainly in robotics. In this paper, the focus is on the setup and interfacing between MATLAB and the Robotic Operating System (ROS) towards the implementation of a fault tolerant robotic system architecture previously proposed. This paper is a work in progress and presents the preliminary efforts towards achieving the communication between the different components used in the robotic system. Also, some of the possible test cases to verify how to system reacts to certain faults is also presented. This aspect of communication between different modules in the robotic system is significant to make the system more efficient by combining the powerful MATLAB tools in conjunction with the Robot Operating System(ROS).

Green-monodispersed Pd-nanoparticles for improved mitigation of pathogens and environmental pollutant

Abstract: This research, for the first time, demonstrates the synthesis of a novel double chain amphiphilic metallosurfactant complex i.e., bisdecanoatopalladium (II) (complex 1) which provides a template to fabricate monodispersed palladium nanoparticles (Pd NPs). Complex 1 was characterized using CHN, Mass, NMR and FTIR techniques. Complex 1 formed inverted metallomicelles (IMMs) in various n-alcohols and DCM at very low critical aggregation concentration (CAC), (1.19–1.65 × 10−4 M) estimated using conductivity studies. IMMs-supported greener synthesis of Pd NPs suggests the localized and controlled reduction of metalloaggregates and arrested growth of Pd NPs confined in the cavity of IMMs. UV–vis, XRD, HRTEM and DLS techniques have provided a detailed insight into the structure, morphology and dispersibility of as-obtained Pd NPs. The uniform surfactant coating enables the synthesis of highly monodispersed and spherical Pd NPs in a very narrow size of 1–2 nm. This green approach eliminates the existing challenges of controlling size, shape, and dispersibility. The superiority of Pd NPs has been explored in terms of catalytic and biological applications. The Pd NPs are found to be extremely selective, efficient, and eco-friendly and recyclable catalysts for the reduction of para-nitrophenol (PNP) with an achievable rate constant as high as 1.018 min−1 with mere 2 mol% catalyst dose. Pd NPs also exhibit excellent binding ability with BSA protein exhibiting a high binding constant of 9.7 × 105 M−1. Besides, Pd NPs can be promoted as excellent therapeutic agents as they have shown noteworthy (i) antimicrobial activity against pathogenic microbes i.e., Bacillus cereus ITCC 240 (MIC 0.002 μg/mL), Klebsiella pneumoniae ITCC 138 (MIC 0.003 μg/mL) and Curvularia lunata ITCC 6257 (MIC 0.001 μg/mL) and (ii) anticancer activity against human liver cancer cells i.e., HepG2 (IC50 25 μg/mL). The outcomes of this research epitomize Pd NPs as a potential green nano-system having broader prospective in catalytic and biological applications.