Handwritten Devanagari Text Recognition using Single Classifier Approach with VSPCA Scheme

In this research paper we used individual classifier approach for Handwritten Devanagari text recognition. We experimented different categorical classifiers namely   Random Forest Classifier (RFC), Support Vector Machine (SVM), K Nearest Neighbor Classifier (KNN), Logistic Regression Classifier (LogRegr), Decision Tree Classifier (DTree). Seven different feature sets are used namely Eccentricity, Euler Number, Horizontal Histogram, Vertical Histogram, HOG Features, LBP Features, and Statistical Features. The experimentation is carried out on 9434 different characters whose features are extracted from 220 handwritten image documents from PHDIndic_11 dataset. We deduced and implemented a unique scheme namely VSPCA scheme. VSPCA is Vectorization, Scaling, and Principal Component Analysis carried out on all feature sets before being given for model training. We obtained varied accuracies using all these five classifiers on all these six feature sets in which 99.52% highest accuracy is observed

Grammar Generation and Optimization from Multiple Inputs

Human being uses multiple modes like speech, text, facial expression, hand gesture, showing picture etc. for communication in between them. The use of this ways for communication makes human communication more simple and fast. In previous years several techniques are used to bring the human computer interaction more closely. It costs more for development and maintenance of Multimodal grammar in integrating and understanding input in multimodal interfaces i.e. using multiple input ways. This leads to improve and investigate more robust algorithm. The proposed system generates the grammar from multiple inputs called as multimodal grammar and evaluates grammar description length. Furthermore, to optimize the multimodal grammar proposed system uses learning operators which improves grammar description DOI: 10.17762/ijritcc2321-8169.15016

Ocular disorders in children with learning disabilities in special education schools of Pune, India

AIM: The aim was to study and treat ocular disorders in children with learning disabilities (cLDs) and explore associations with their perinatal history. MATERIALS AND METHODS: cLDs attending 11 special schools were examined by a team consisting of an ophthalmologist, optometrist, and a social worker in 2007 and followed up in 2008. The students' intelligence quotient (IQ) and their medical histories were noted. Distant visual acuities were measured using Kay pictures or Snellen's tumbling E chart and complete ocular examination was performed. Students were assessed at the pediatric ophthalmology unit and low vision center, if needed. Statistical analysis was done with SPSS and the Chi-square test for ordinal data. RESULTS: A total of 664 students were examined, 526 of whom were <16 years of age; 323 (61.4%) were male. A total of 326 (60%) had moderate-to-severe learning disabilities (IQs <50), and the mean IQ was 45.4. Two hundred and thirty-eight (45.3%) had ocular disorder; 143 (27.3%) had an uncorrected refractive error, followed by strabismus in 83 (15.8%), nystagmus in 36 (6.8%), optic atrophy in 34 (6.5%), and congenital anomalies in 13 (2.5%), 103 children had more than one abnormality. Only 12 of the 143 students with refractive errors were using spectacles. A total of 132 (48.7%) children with a history of perinatal insult had ocular problems. Ocular disorders were also common in those with a history of epilepsy, Down's syndrome, and cerebral palsy. CONCLUSION: Nearly half the cLDs in this study had ocular disorders and one-fourth had their vision improved

Design and synthesis of phosphonate functionalized naphthalenediimide: Application to induce mitochondria mediated apoptosis in the human skin melanoma cells (SKMEL2)

506-512New phosphonate functionalized naphthalenediimides (NDI-1 and NDI-2) have been synthesized and evaluated as potential drug candidates to treat the skin malignancy. The aforementioned candidates have resulted in an induced apoptosis pathway of cytotoxicity, at concentrations lower than 4 μM, in human skin melanoma cells, and elicited a stronger apoptotic response in cells. Regulation of the Bcl2, Caspases, Bak1, Bax protein in NDI-induced apoptosis in cells has been analyzed by real time PCR, and the cell viability and apoptosis determined by flow cytometry. The obtained results indicate that NDIinduced apoptosis by regulation of Bcl2 and Bak1 occurs in human skin melanoma cells (SKMEL-2)