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Newport, KY, United States

Transylvania University is a private university in Lexington, Kentucky, United States. It was founded in 1780, making it the first university in Kentucky and among the oldest in the United States. It offers 36 major programs, as well as dual-degree engineering programs, and is accredited by the Southern Association of Colleges and Schools. Transylvania's name, meaning "across the woods" in Latin, stems from the university's founding in the heavily forested region of western Virginia known as the Transylvania colony, which became most of Kentucky in 1792.Transylvania has been cited for outstanding value and academic quality by such publications as U.S. News and World Report and Forbes. In the nineteenth century it educated hundreds of aspiring politicians who reached Congress and other high offices. Its medical program graduated 8000 physicians by 1859. Wikipedia.

Mako Z.,Transylvania University
Celestial Mechanics and Dynamical Astronomy | Year: 2014

This paper provides a study on the connection between Hill stability and weak stability in the framework of the spatial elliptic restricted three-body problem. We determine a necessary condition for weak stability by giving an upper and a lower bound of qualitative measure of the Hill stability. The sufficient condition for weak stability and the symmetry of weak stable regions around the planets of the Solar System is also investigated. © 2014 Springer Science+Business Media Dordrecht.

Szilagyi L.,Budapest University of Technology and Economics | Szilagyi L.,Transylvania University
Pattern Recognition Letters | Year: 2014

The fuzzy local information c-means (FLICM) algorithm, introduced by Krinidis and Chatzis (2010), was designed to perform highly accurate segmentation of images contaminated with high-frequency noise. This algorithm includes an extra additive term to the objective function of the fuzzy c-means (FCM), called local descriptor fuzzy factor, allowing the labeling of a pixel to be influenced by its neighbors, thus achieving a filtering effect. Further on, the authors of FLICM claim that their algorithm does not depend on any trade-off parameter, which were present in all previous similar approaches. In this paper we investigate the theoretical foundation of FLICM and reveal some critical issues. First of all, we show that the iterative optimization algorithm proposed for the minimization of the FLICM objective function is not suitable for the given problem, it does not minimize the objective function. Instead of that, FLICM computes an FCM-like partition using distorted distances, according to the local context of each pixel, thus performing a job that is similar to the so-called suppressed fuzzy c-means algorithm existing in the literature. Finally we reveal the presence of a possible trade-off in the definition of the local descriptor fuzzy term, and the necessity of another factor to compensate against the size of the considered neighborhood. Such algorithms can be effective in certain scenarios, which were documented by the authors, but a deep investigation of the limitations would be beneficial. © 2013 Elsevier B.V. All rights reserved.

Mihail L.-A.,Transylvania University
Procedia CIRP | Year: 2013

The off-line quality engineering is an important aspect that regards the manufacturing engineering process optimization. This target may be achieved by implementing the robust engineering principles. Therefore, the present paper reflects the results of the Taguchi Method approach applied for a fractioned factorial designed experiment in case of deep peck drilling with a twist drill, of a composite material. The scope was to optimize the surface state, characterized by his roughness, optically measured. Copyright © 2013 Elsevier B.V.

Marton L.,Transylvania University | Lantos B.,Budapest University of Technology and Economics
IEEE Transactions on Control Systems Technology | Year: 2011

The paper introduces a tracking control algorithm for robotic manipulators with partially known parameters. In the first part of the study a reformulated robot model with friction is introduced using which the model based robot control algorithms can be extended for adaptive compensation of unknown friction and payload parameters. To solve the problem of tracking with unknown payload and friction, an adaptive control algorithm is proposed with guaranteed tracking convergence. Experimental measurements are also presented to show the applicability of the theoretical results. © 2011 IEEE.

Agache I.O.,Transylvania University
Current Opinion in Allergy and Clinical Immunology | Year: 2013

PURPOSE OF REVIEW: The current guidelines for asthma diagnosis and management do not recognize that different phenotypes of asthma exist, with significant variations in the manifestation of airway inflammation, symptoms, severity, and response to treatment. This article will critically review new approaches to classify asthma together with the emerging endotype-driven therapeutic strategies. RECENT FINDINGS: Several new approaches for classifying asthma are available, from precision and deep phenotyping to identification of novel causal pathways and translation of biomarkers into pathway-specific diagnostic tests. New phenotypes, such as epigenetic phenotypes, asthmatic granulomatosis, or neurophenotypes are described. Large clinical trials testing the endotype-driven approach are increasingly successful, but the dissociated effect and the drug efficacy at the target site remain unsolved issues. Profiling the Th2 low and the resident cell compartment of asthma are major unmet needs in asthma endotyping. SUMMARY: Each of the hallmark characteristics of asthma (inflammation, remodeling, airway hyperreactivity) is the expression of a complex network of molecules, very diverse both within any given patient in time and between any two patients. Some of these networks are repetitive across individuals with asthma and specific for clinical expression, gene-environment interaction and inflammatory cell profiles represent novel endotype-specific diagnostic and therapeutic strategies. © 2013 Wolters Kluwer Health | Lippincott Williams and Wilkins.

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