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Estrela, Vania V.
- An Introduction to Data Mining Applied to Health-Oriented Databases
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1 Universidade Federal Fluminense (UFF), 25086-132, Duque de Caxias-RJ, BR
1 Universidade Federal Fluminense (UFF), 25086-132, Duque de Caxias-RJ, BR
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Oriental Journal of Computer Science and Technology, Vol 9, No 3 (2016), Pagination: 177-185Abstract
The application of data mining (DM) in healthcare is increasing. Healthcare organizations generate and collect large voluminous and heterogeneous information daily and DM helps to uncover some interesting patterns, which leads to the manual tasks elimination, easy data extraction directly from records, to save lives, to reduce the cost of medical services and to enable early detection of diseases. These patterns can help healthcare specialists to make forecasts, put diagnoses, and set treatments for patients in health facilities. This work overviews DM methods and main issues. Three case studies illustrate DM in healthcare applications: (i) In-Vitro Fertilization; (ii) Content-Based Image Retrieval (CBIR); and (iii) Organ transplantation.Keywords
Data Mining, Healthcare Automation, Pattern Recognition, Computer Vision, Feature Extraction, Similarity Comparison.Full Text
References
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- Khokher, A. and Talwar, R. 2011. Content-based image retrieval: state-of-the-art and challenges. IJAEST, 9:2, 207–211.
- Rudinac, S., Zajic, G., Uscumlic, M., Rudinac, M. and Reljin, B. 2007. Comparison of CBIR systems with different number of feature vector components. IEEE Int’l Work. on, Sem. Media Adaptation and Pers., 199-204. doi:10.1109/SMAP.2007.23
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- Optical Flow Estimation Using Total Least Squares Variants
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Authors
Affiliations
1 Department of Telecommunications, Universidade Federal Fluminense (UFF), Rio de Janeiro, BR
1 Department of Telecommunications, Universidade Federal Fluminense (UFF), Rio de Janeiro, BR
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 3 (2017), Pagination: 563-579Abstract
The problem of recursively approximating motion resulting from the Optical Flow (OF) in video thru Total Least Squares (TLS) techniques is addressed. TLS method solves an inconsistent system Gu=z , with G and z in error due to temporal/spatial derivatives, and nonlinearity, while the Ordinary Least Squares (OLS) model has noise only in z. Sources of difficulty involve the non-stationarity of the field, the ill-posedness, and the existence of noise in the data. Three ways of applying the TLS with different noise conjectures to the end problem are observed. First, the classical TLS (cTLS) is introduced, where the entries of the error matrices of each row of the augmented matrix [G;z] have zero mean and the same standard deviation. Next, the Generalized Total Least Squares (GTLS) is defined to provide a more stable solution, but it still has some problems. The Generalized Scaled TLS (GSTLS) has G and z tainted by different sources of additive zero-mean Gaussian noise and scaling [G;z] by nonsingular D and E, that is, D[G;z]E makes the errors iid with zero mean and a diagonal covariance matrix. The scaling is computed from some knowledge on the error distribution to improve the GTLS estimate. For moderate levels of additive noise, GSTLS outperforms the OLS, and the GTLS approaches. Although any TLS variant requires more computations than the OLS, it is still applicable with proper scaling of the data matrix.Keywords
Motion Estimation, Total Least Squares, Inverse Problems, Optical Flow, Video Processing, Computer Vision SS.Full Text
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- Blade Runner 2049 and the Quest for Industry 4.0
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Authors
Affiliations
1 Universidade Federal Fluminense (UFF) Rio de Janeiro, BR
1 Universidade Federal Fluminense (UFF) Rio de Janeiro, BR
Source
Oriental Journal of Computer Science and Technology, Vol 10, No 4 (2017), Pagination: 708-709Abstract
Yes, I am a huge Sci-Fi and noir fan, but I also know where my feet are. As R&D people, we must discuss emerging technology, standards and ethics fueled by this not so futuristic film.
Industry 4.0 (formerly known as Industrie 4.0) is a subset of the Internet of Things with some industrial things added devised by the German industry sector1. Its recommendations describe the combined interaction between Cyber-Physical Systems (CPSs), smart factory and the cloud. The product is designed with the way it will be produced, the form it will relate to its associated information, its place in the smart factory as well as collaboration with similar industrial units in mind.
Full Text
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- Some Thoughts on Transmedia Communication
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Authors
Affiliations
1 Department of Romanistic, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, DE
2 Telecommunications Department, UFF, RJ, BR
3 LCV, UNICAMP - Campinas-SP, BR
4 LCMAT, UENF, Campos de Goytacazes, RJ, BR
1 Department of Romanistic, University of Tuebingen, Tuebingen, Baden-Wuerttemberg, DE
2 Telecommunications Department, UFF, RJ, BR
3 LCV, UNICAMP - Campinas-SP, BR
4 LCMAT, UENF, Campos de Goytacazes, RJ, BR
Source
Oriental Journal of Computer Science and Technology, Vol 11, No 4 (2018), Pagination: 183-187Abstract
It is hard to define Transmedia (TM) since some communication experts say it is just the best possible way a single story can be understood and followed across different types of media (Figure 1).Full Text
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