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BRAINovations
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Authors:
Roumen
Kountchev
, Barna
Iantovics
, Vladimir
Todorov
, Roumiana
Kountcheva
Abstract:
In the paper is presented one new approach for creation and management of medical image databases with multi-layer access, based on the Inverse Pyramid Decomposition (IPD). The archived visual data is compressed using the special IDP format, presented in detail in this paper. The new approach offers flexible tools for multi-layer transfer of the processed information with consecutively quality improvement, together with reliable content protection ensured by digital watermark insertion and data hiding. The IDP permits insertion of multiple watermarks in same file. Part of the visual information (specific regions of interest in the medical images) is hidden for the low access levels and could be revealed by authorized users only.
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Authors:
S.
Hamidreza Kasaei
, S.
Mohammadreza Kasaei
, S.
Alireza Kasaei
Abstract:
In this paper, we propose design and initial implementation of a robust system which can automatically translates voice into text and text to sign language animations. Sign Language
Translation Systems could significantly improve deaf lives especially in communications, exchange of information and employment of machine for translation conversations from one language to another has. Therefore, considering these points, it seems necessary to study the speech recognition. Usually, the voice recognition algorithms address three major challenges. The first is extracting feature form speech and the second is when limited sound gallery are available for recognition, and the final challenge is to improve speaker dependent to speaker independent voice recognition. Extracting feature form speech is an important stage in our method. Different procedures are available for extracting feature form speech. One of the commonest of which used in speech
recognition systems is Mel-Frequency Cepstral Coefficients (MFCCs). The algorithm starts with preprocessing and signal conditioning. Next extracting feature form speech using Cepstral coefficients will be done. Then the result of this process sends to segmentation part. Finally recognition part recognizes the words and then converting word recognized to facial animation. The project is still in progress and some new interesting methods are described in the current report.
BRAINStorming
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Authors:
Mauricio
Iza
, Alexandra
Konstenius
Abstract:
The symbolic information-processing paradigm in cognitive psychology has met a growing challenge from neural network models over the past two decades. While neuropsychological
evidence has been of great utility to theories concerned with information processing, the real question is, whether the less rigid connectionist models provide valid, or enough, information
concerning complex cognitive structures. In this work, we will discuss the theoretical implications that neuropsychological data posits for modelling cognitive systems.
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Authors:
Minoo
Alemi
, Parisa
Daftarifard
, Bogdan
Patrut
Abstract:
With the advances in Quantum physics and meteorology, science has moved towards more uncertainty and unpredictability (Larsen-Freeman, 2002) [12]. This has resulted in the emergence of Chaos/Complexity Science (Valle, 2000) [20], or Theory (Larsen-Freeman, 1997) [11], and Dynamic System Theory (De Bot, Lowie, & Verspoor, 2007) [3]. As Larsen-Freeman (1997) [11] states the name of chaos/complexity science is paradoxical terminology in that the word science means order as well as complexity but in Ch/C this complexity is achieved through chaotic situation. In science we are searching for cause and effect connection while in Ch/C such a connection is not that much straightforward. Efforts have been invested to apply the concept into Second Language Acquisition (SLA) (Larsen-Freeman, 1997) [11] due to incommensurable issues in SLA Larsen-Freeman (1997) [11], especially, introduced the concept into SLA in detail, however, we think more works and speculations on the topic are required on all aspects which are related to SLA. To this end, this article is a critical review of the implication of Chaos/Complexity theory into SLA from three perspectives: the Nature of Language Complexity, SLA Incommensurable Theories, and the Complex Nature of Classroom.
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Authors:
Parviz
Birjandi
, Parisa
Daftarifard
Abstract:
Obtaining information on whether the child has the potential for growth is not an easy task. Research shows that using different matrix like Raven or different batteries in a static way cannot
be indicative of children further development. This study attempts to probe the potential predictability of children’s performance during Dynamic Assessment of their Future development.
41 children between ages 3 to 6 years old participated in this study. The data in pretest, ZPD, and posttest were converted into Rasch Measure. The results of different analysis indicate that relying on children’s actual performance cannot be an indicative factor of their development in the future.
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Authors:
Angel
Garrido
Abstract:
It is well-known that Artificial Intelligence requires Logic. But its Classical version shows too many insufficiencies. So, it is very necessary to introduce more sophisticated tools, as may be
Fuzzy Logic, Modal Logic, Non-Monotonic Logic, and so on. When you are searching the possible precedent of such new ideas, we may found that they are not totally new, because some ancient thinkers have suggested many centuries ago similar concepts, certainly without adequate mathematical formulation, but in the same line: against the dogmatism and the dualistic vision of
the world: absolutely true vs. absolutely false, black vs. white, good or bad by nature, 0 vs.1, etc. We attempt to analyze here some of these greatly unexplored, and very interesting early origins.
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Authors:
Asaad
Mahdi
, Ahmad
Razali
, Ali
AlWakil
Abstract:
The main objective of this paper is to investigate the performance of fuzzy disease diagnosis by comparing its results with two statistical classification methods used in the diagnosis of diseases namely the K-Nearest Neighbor and the Naïve Bayes classifiers. The comparisons were made using
the latest XLMiner® and Medcalc® statistical software’s. The first step was using fuzzy relation such as the occurrence relation and confirmability relation on a sample of 149 patients suffering from chicken pox, dengue and flu taken from different general and private hospitals and clinics in Kuala Lumpur to diagnose the three diseases. Fourteen symptoms were used in the diagnoses such as high fever, headache, nausea, vomiting, rash, joint pain, muscle pain, bleeding, loss of appetite, diarrhea, cough, sore throat, abdominal pain and runny nose. The second step was using the KNearest Neighbor classification method and the Naïve Bayes classification method on the same sample to diagnose the three diseases. The final step was the comparison between the three methods using performance tests, McNemar and Kappa tests. The result of the comparison between the three methods showed that fuzzy diagnosis outperforms the other two methods in disease diagnosis.
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