Face Recognition using Fuzzy Neural Network

Face recognition is a biometric tool for authentication and verification, has great emphasis in both research and practical applications. Increased requirement on security, fully automated biometrics on personal identification and verification has received extensive attention over the past few years. In this paper we propose a novel face recognition using Fuzzy Neural network, which is used to extract features from face images by dividing the images into two phase one is of training phase by neural network second is extracting phase done by fuzzy inference system. At first the Complex Wavelet Transform is a tool applied here that uses a dual tree of wavelet filters to find the real and imaginary parts of complex wavelet coefficients. The DT-CWT is, however, less redundant and computationally efficient. Dual Tree methods are based on image at different resolution. Here the DT-CWT is used to convert the entire image into 2-D form and also here Principal Component Analysis which is a linear dimensionality reduction technique is used, that attempt to represent data in lower dimensions, i.e., used to perform the face recognition which means simply it reduces the 2-D form to 1-D form. Finally we have to extract face by comparing features using fuzzy neural networks. At present many methods for image recognition are available but most of them include feature to any type of images. The proposal is divided into two phases: the training phase and the extraction or processing related to type of image. In this paper these two parts of the network one is neural network for training, second is fuzzy inference system which helps us improve the performance result in face recognition. Fuzzy logic has proved to be a tool that can improve the performance of the existing system

Assessing unrealized yield potential of maize producing districts in India

The projected demand of maize production in India in 2050 is 4–5 times of current production. With the scope for area expansion being limited, there is need for enhancement of yield. This calls for identifying areas where huge unrealized yield potential exists. With a view to address the issue, the present study delineates homogeneous agro-climatic zones for maize production system in India taking district as a unit and using the factors production, viz. climate, soil, season and irrigated area under the crop. There are 146 districts in India that grow maize as a major crop. They were divided into 26 zones using multivariate cluster analysis. Study of variation in yield between districts within a zone vis-à-vis crop management practices adopted in those districts was found useful in targeting the yield gaps. These findings can have direct relevance to the maize farmers and district level administrators

Line Loadability Improvement by using TCSC under Network Contingencies

Abstract: Hassled power system, either due to increase loading or due to severe contingencies, often leads to situation where system no longer remains in the secure operating region. Under these situations, it is primary objective of the operator to apply control action to bring the power system into the secure region. Any delay or unavailability of suitable control, the system may become unstable. FACTS devices can play very important role in power system security enhancement. The Thyristor Controlled Series Capacitor (TCSC) is one of the most effective Flexible AC Transmission System (FACTS) devices. It offers smooth and flexible control of the line impedance with much faster response compared to the traditional control devices. It may be used to enhance system performance by controlling the power flows in the network and to alleviate /eliminate the overloads on the transmission lines under network contingencies. The Newton-Raphson ac power flow method was used to perform the above studies. The performance of the proposed algorithm has been tested for IEEE-14 bus system. Programming of the power flow studies is carried out by using MATLAB

Determination of mechanical properties of okra, sisal fibre and polyester based hybrid composite

The natural fibre reinforced composites have the advantage of being light weight, renewable, cheap and eco–friendly when compared to the synthetic fibres. So, there is a need to investigate potentiality of natural fibre which can be used in highly demanding situations. An attempt has been made in the present work to explore the possible uses of variety of cultivated and wild grown fibres in nature that aids in the development of new composites for load carrying structures. The present research work has been carried out to make use of okra /sisal natural fibres. The aim of this paper is to describe the experimental development and characterization of new set of hybrid natural fibre composites which is made by reinforcing okra /sisal fibres with polyester resin in matrix by using hand layup method. The natural fibres were extracted by retting and combing process manually. The hybrid composites were prepared using okra/sisal fibres of 30/70, 50/50, 70/30 fibre weight ratios, when subjected to varying weights of fibres (0. 4, 0. 8, 1. 2, 1. 6, 2) grams. The tensileand impact properties were carried out using hybrid composite specimens

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Not AvailableThe projected demand of maize production in India in 2050 is 4–5 times of current production. With the scope for area expansion being limited, there is need for enhancement of yield. This calls for identifying areas where huge unrealized yield potential exists. With a view to address the issue, the present study delineates homogeneous agro-climatic zones for maize production system in India taking district as a unit and using the factors production, viz. climate, soil, season and irrigated area under the crop. There are 146 districts in India that grow maize as a major crop. They were divided into 26 zones using multivariate cluster analysis. Study of variation in yield between districts within a zone vis-à-vis crop management practices adopted in those districts was found useful in targeting the yield gaps. These findings can have direct relevance to the maize farmers and district level administrators.Not Availabl

Pd-mediated functionalization of polysubstituted pyrroles: their evaluation as potential inhibitors of PDE4

Novel polysubstituted pyrroles have been designed and accessed via a one-pot multicomponent reaction followed by Pd-mediated C-C bond forming reactions. All the compounds synthesized were tested for their PDE4B inhibitory properties in vitro and two of them obtained via Heck reaction showed significant inhibition. The docking results suggested that these alkenyl derivatives containing ester moiety interact well with the PDE4B protein in silico where the ester carbonyl oxygen played a key role. The pyrrole framework presented here could be a new template for the identification of small molecule based novel inhibitors of PDE4. The single crystal X-ray data of a representative compound is presented

Proceedings and Recommendations of National Workshop on Artificial Intelligence in Agriculture

Not AvailableThis publication presents proceedings and recommendations of National Workshop on Artificial Intelliegence held during July 30-31, 2018 at NASC Compex, New Delhi.Not Availabl