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Finanční analýza společnosti Casia s.r.o. / Financial analysis of Casia s.r.o.Kult, Jakub January 2008 (has links)
A financial analysis of Casia s.r.o. company conducted for years 2003 -- 2007. The thesis is conceived for managers (owners), who are involved in a further growth of the firm. Not only standard quantitative methods are used in the paper (percentage analysis, ratios, horizontal and vertical analysis of account statements, cash flow, working capital, economic value added and financial leverage calculation), but also methods for complex assessment of the company: Index IN05, Quick Test. A part of the work is also an intercompany and industry comparison. Proposals for improvements are defined in the conclusion.
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A Fast and Accurate Iris Localization Technique for Healthcare Security SystemAl-Waisy, Alaa S., Qahwaji, Rami S.R., Ipson, Stanley S., Al-Fahdawi, Shumoos January 2015 (has links)
Yes / In the health care systems, a high security level is
required to protect extremely sensitive patient records. The goal
is to provide a secure access to the right records at the right time
with high patient privacy. As the most accurate biometric system,
the iris recognition can play a significant role in healthcare
applications for accurate patient identification. In this paper, the
corner stone towards building a fast and robust iris recognition
system for healthcare applications is addressed, which is known
as iris localization. Iris localization is an essential step for
efficient iris recognition systems. The presence of extraneous
features such as eyelashes, eyelids, pupil and reflection spots
make the correct iris localization challenging. In this paper, an
efficient and automatic method is presented for the inner and
outer iris boundary localization. The inner pupil boundary is
detected after eliminating specular reflections using a
combination of thresholding and morphological operations.
Then, the outer iris boundary is detected using the modified
Circular Hough transform. An efficient preprocessing procedure
is proposed to enhance the iris boundary by applying 2D
Gaussian filter and Histogram equalization processes. In
addition, the pupil’s parameters (e.g. radius and center
coordinates) are employed to reduce the search time of the
Hough transform by discarding the unnecessary edge points
within the iris region. Finally, a robust and fast eyelids detection
algorithm is developed which employs an anisotropic diffusion
filter with Radon transform to fit the upper and lower eyelids
boundaries. The performance of the proposed method is tested
on two databases: CASIA Version 1.0 and SDUMLA-HMT iris
database. The Experimental results demonstrate the efficiency of
the proposed method. Moreover, a comparative study with other
established methods is also carried out.
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