Performance Analysis of Handwritten Marathi Character Recognition with RBF, Cascade, Elman and Feed Forward Neural Networks

Character recognition of handwritten Marathi curve scripts is one of the most challenging areas of research in neural networks due to high variability in writing styles. Marathi characters have shirolekhas and spines. This seriously affects many of the performance recognition parameters and much more.In this paper, we are performing the performance analysis of RBF neural network, Cascade Neural network, Elman Neural network and Feed forward neural network for the character recognition of handwritten Marathi curve scripts. For the experiment, we have taken in to account the six samples each of 48 Marathi characters. For every sampled character, the �Edge detection and dilation method of Feature extraction�with a set of image pre-processing operations have been performed. Here to study and analyze the performance of these four neural networks, firstly we have created the network, trained the network, simulated the network and plotted the regression plots. It has been analyzed that RBF neural networks has a high regression value as compared to the rest of the methods for the training set

A Review on Image mosaicing for secure Transmission of University Exam Question Paper

The rapid spread of the digital world nowadays which is powered by ever faster system demands greater speed and security. Real time to secure an image is a challenging task due to the processing time and computational requirement for RGB image. So, to cope with these concerns, many innovative techniques of image processing for data hiding are required. In this paper new data hiding scheme is proposed which is known as image mosaicing. Image mosaicing is the process of merging split images to produce a single and complete image of the document. For this technique two input images are required one is secret image and second is target image, by merging these two a new image is made called as a mosaic image. So, the creation of mosaic image and lossless recovery of secret input image for question paper security is presented in this paper

Performance Evaluation of RBF, Cascade, Elman, Feed Forward and Pattern Recognition Network for Marathi Character Recognition with CLAHE Feature Extraction Method

The purpose of this paper is to study, analyze and improve the performance of RBF, Cascade, Elman, Feed Forward and Pattern Recognition Networks using �Contrast-limited Adaptive Histogram Equalization method� of featureextraction. This work is divided in to two sections. In the earlier work, we have performed the performance analysis of RBF neural network, Cascade Neural network, Elman Neural network and Feed forward neural network for the character recognition of handwritten Marathi curve scripts using �Edge detection and Dilation method� of feature extraction. In this paper, we have applied the feature extraction methodknown as Contrast-limited Adaptive Histogram Equalization (CLAHE). This feature extraction method enhances the contrast of images by transforming the values in the intensity image. For this experiment, we have considered the six samples each of 48 Marathi characters. For every sampled character, the CLAHE feature extraction method is applied. Then we have studied and analyzed the performance of these five Neural Networks for character recognition. It is found that except Elman Network, the performance of rest of all the networks is increased

CONTRIBUTION OF ACHARYA NAGARJUNA IN SUSRUTA SAMHITA: A REVIEW

Acharya Nagarjuna was a famous Buddhist Alchemist. Research scholars have faith in more than one Nagarjuna who contributed in the field of philosophy, alchemy, medical and Tantra and few scholars supporting for only one Nagarjuna who as expert in all subjects. In Ayurveda fraternity, it is general belief that Acharya Nagarjuna has composed the Uttarasthana (Uttaratantra) of Susruta Samhita but there are some references which indicates that Acharya Nagarjuna has contributed in Purvardha also. In Uttarasthana (Uttaratantra) of Susruta Samhita there has not mentioned any Alchemy whereas in Maha Kushtha Chikitsa (Purvardha), Ayaskriti has been used which clearly indicates that Acharya Nagarjuna has not only contributed in the Uttarasthan but also in the Purvardha of Susruta Samhita. Balagraha, Kayachikitsa and Bhutavidya have been described in the Uttarsthana of Susruta Samhita. There are many literatures available in Buddhism which has been contributed by Acharya Nagarjuna. If we are having deep knowledge of the Buddhist literature such as Mulmadhyamikakarika, Yuktisastika etc. which has been contributed by Acharya Nagarjuna then it will be easy to know the exact contribution of Acharya Nagarjuna in Susruta Samhitaas well as in Ayurveda. This article deals with the historical study of Acharya Nagarjuna, a great personality and his contribution in Susruta Samhita

A COMPARATIVE ASSESSMENT OF PHARMACOLOGICALLY ACTIVE PRINCIPLES AND ANTIOXIDANT ACTIVITY OF COMMONLY OCCURRING MUCUNA SPS. IN INDIA

The genus Mucuna (Fabaceae) includes about 150 species and almost all the species are reported to contain L-3,4-dihydroxy phenylalanine (L-Dopa), a non-protein amino acid that acts as precursor for the neurotransmitter dopamine, used in the treatment of Parkinsons disease. The present study was aimed to assess the pharmacologically active principles and antioxidant activities of Mucuna pruriens (L.) DC., Mucuna bracteata DC., Mucuna cochinchinensis (Lour.) A. Chev. black seeds sp. and Mucuna cochinchinensis (Lour.) A. Chev. white seeds sp. The aqueous extract of plant material was subjected to assess the pharmacologically active principles by using L-dopa quantification, determination of protein and flavonoids, total phenolic content, Inhibition of DPPH radical and Reducing power/Ferric reducing antioxidant potential (FRAP) assays. The results obtained showed that, Mucuna cochinchinensis black seeds sp. has highest protein, total phenolic content, L-dopa content and DPPH radical scavenging activity. Mucuna bracteata seeds showed highest flavonoid content whereas, in FRAP assay Mucuna pruriens extract showed highest potential to reduce the ferric ions. It can be concluded from this study that, L-DOPA possesses antioxidant activity which was supported by in-vitro antioxidant assays. This indicates that the antioxidant activity of the aqueous extracts of all the Mucuna sps. may be due to the presence of L-Dopa content in its seed

Review and evaluation of specific industrial wastewater treatment and reuse system

University of Technology, Sydney. Faculty of Engineering.NO FULL TEXT AVAILABLE. Access is restricted indefinitely. The hardcopy may be available for consultation at the UTS Library.NO FULL TEXT AVAILABLE. Access is restricted indefinitely. ----- Australian water demands are increasing significantly in conjunction with the increase in urbanisation and industrialisation. Water is a valuable resource, not only in Australia but also around the world; thus, there is scope to make better use of water by adopting recycling of water as an additional water resource. Water reclamation is the best sustainable solution for water crisis. The recirculation of wastewater to reusable water can be achieved by implementing specific wastewater treatment technologies for wastewater recycling for non-potable purposes. This study is based on the fibre cement industry. Fibre cement is a blend of cellulose fibre material from radiata pine tree, Portland cement, sand, water and other chemical additives. The fibre cement industry manufactures cement boards used for flooring and partition walls in different thicknesses and sizes. The manufacturing of fibre cement boards is similar to the paper and pulp industry in terms of manufacturing process, the technology involved and the equipment used in the process. Water consumption is very high, as a large amount of water is required for the preparation of consistent slurry, cleaning of the vacuum assisted rotating drum and belt (felt), cooking of boards, chemical dilution and house keeping. The study deals with the investigation of water usage, wastewater treatment and its recycle for the fibre cement industry on industrial premises. In this project, the performance of Dissolved Air Flotation (DAF) was investigated extensively. The study was carried out to enhance the performance of the DAF unit and to increase the oil recovery from the DAF unit. The study included both laboratory and field based investigations. The experimental investigations of the DAF found that the performance of the DAF was low. There were many reasons for the drop in efficiency, such as the increased volume of the condensate wastewater and the decrease in chemical doses, wear and tear of the mechanical parts. The recycle stream pressure was found to be below the recommended pressure. Jar test analyses were carried out to optimise the coagulant and flocculant doses for the DAF unit. Different sets of experimental combinations were carried out with varying coagulant dose and constant flocculant dose. The best results were found at l.2L/h flocculant dose and 2.lL/h coagulant dose. The turbidity was the lowest at this optimum condition (36 NTU) and the pH remained below the expected range (8.33). Some onsite trouble shooting activities were carried out to enhance the performance of the DAF unit, such as cleaning of the unit, replacement of Teflon scraping blades (mechanical skimmer), tuning of scraping chain, alignments of the scraping blades, tuning of recycling pressure and adjustment of air flow for the micron size air bubble generator. The investigation of effluent treatment plant (ETP) was also carried out. Water samples from different locations were collected and analysed for pH, conductivity, TSS and turbidity. Investigations showed that water usage can be lowered by using water minimisation tools and a water integration approach. Water pinching is used for water minimisation. Along with water minimisation studies, treatability studies were conducted to recycle wastewater. Two lab-scale electrocoagulation and zeolite ion exchange units were employed to reduce the conductivity from wastewater. It was found that these technologies were not efficient enough in the reduction of conductivity therefore, a theoretical study on the application of nanofiltration and electrodialysis to treat high conductivity wastewater for recycling was also conducted. Nanofiltration was found to be cheaper and more efficient for water recycling within industrial premises. In summary, the performance of dissolved air flotation was raised by implementing optimised chemical doses and the tuning of DAF unit. The removal efficiency was increased from 40% to 70%. Water recycling and reuse is an effective and good, practical solution for the growing water crisis around the world

SAMRAT ASHOKAS INSCRIPTIONS AND AYURVEDA: A REVIEW

Samrat Ashoka was the grandson of Chandragupta and he founded the Mauryan dynasty empire about 324 B.C. Ashoka built a large number of inscriptions on rocks and pillars to propagate Buddhist message of loving kindness. He was the follower of Buddhist thought after Kalinga war. He had dug wells and planted trees and medicinal plants along the roads for human beings as well as animals. The fundamental principles of Ayurveda have been based on Indian philosophical sciences such as Aastika and Nastika Darshan. Ancient Indian history has been written mainly based on texts/literatures but there was some role of coins sand inscriptions also. The total number of incretions inscribed on rocks, pillars, caves by Samrat Ashoka has reached 42 but in this article only two (Girnar’s second and Dhauli’s first Shilalekh) which is related to Ayurveda has been reviewed