Multi-Language based Android Application for Motor Control

some wise individual once aforementioned that system could be a system wherever we will finish off the machine whenever we'd like. That’s the distinction between controlled and uncontrolled system. Our project is regarding create this system economical and dynamic. Because the name instructed the automated management is for dominant the motor from remote place, look over its operational conditions; get feedback from the motor itself. Our target is to manage the motor from distant place by mobile DTMF tone and conjointly get feedback by SMS whereas it's in ON or OFF condition. We tend to conjointly make sure the safe operation of the motor by police investigation the voltage of the supply and guarantee feedback from system whereas it's over or below voltage. Once more we tend to conjointly get these feedbacks by SMS additionally. GSM network is all over in our country that’s why we decide GSM network to control our motor conjointly transferring feedback data through it. We tend to conjointly use GSM network as a result of if we tend to use it then we tend to don’t have to be compelled to establish further instrumentation for networking. To transmit feedback signals we tend to use GSM electronic equipment at the motor finish conjointly generate management signal by mobile DTMF as a result of it's terribly simple to get DTMF by mobile station and send feedback SMS by electronic equipment additionally. In industrial sector we tend to hope our project is become handy and value effective to control motor and provides its protection

Photometric stereo for 3D face reconstruction using non-linear illumination models

Face recognition in presence of illumination changes, variant pose and different facial expressions is a challenging problem. In this paper, a method for 3D face reconstruction using photometric stereo and without knowing the illumination directions and facial expression is proposed in order to achieve improvement in face recognition. A dimensionality reduction method was introduced to represent the face deformations due to illumination variations and self shadows in a lower space. The obtained mapping function was used to determine the illumination direction of each input image and that direction was used to apply photometric stereo. Experiments with faces were performed in order to evaluate the performance of the proposed scheme. From the experiments it was shown that the proposed approach results very accurate 3D surfaces without knowing the light directions and with a very small differences compared to the case of known directions. As a result the proposed approach is more general and requires less restrictions enabling 3D face recognition methods to operate with less data

Face recognition in 2D and 2.5D using ridgelets and photometric stereo

A new technique for face recognition - Ridgefaces - is presented. The method combines the well-known Fisherface method with the ridgelet transform and high-speed Photometric Stereo (PS). The paper first derives ridgelet projections for 2D/2.5D face images before the Fisherface approach is used to reduce the dimensionality and increase the spread of the resulting feature vectors. The ridgelet transform is attractive because it is efficient at extracting highly discriminating low-frequency directional features. Best recognition is obtained when Ridgefaces is performed on surface normals acquired from PS, although good results are also found using standard 2D images and PS-derived albedo maps. © 2012 Elsevier Ltd. All rights reserved

Robust 3D face capture using example-based photometric stereo

We show that using example-based photometric stereo, it is possible to achieve realistic reconstructions of the human face. The method can handle non-Lambertian reflectance and attached shadows after a simple calibration step. We use spherical harmonics to model and de-noise the illumination functions from images of a reference object with known shape, and a fast grid technique to invert those functions and recover the surface normal for each point of the target object. The depth coordinate is obtained by weighted multi-scale integration of these normals, using an integration weight mask obtained automatically from the images themselves. We have applied these techniques to improve the PHOTOFACE system of Hansen et al. (2010). © 2013 Elsevier B.V. All rights reserved

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Not AvailableFood processing sector has experienced a revolutionary development for environment friendly and efficient technologies for extraction of food bioactive compounds due to the technical, scientific and economical headrace of traditional extraction techniques. These bioactive are vital nutrients that are present in very small quantities in food. In biological system, these components have a broad range of action such as antioxidant, metal chelator, antiallergic, antimicrobial, and clarifying agents. Cloud point extraction is a green technique for extraction of bioactive components from thermally sensitive processing food and waste. It is a simple, rapid and inexpensive novel extraction technique over traditional method without affects surrounding environment. This articles aims to provide the brief information about cloud point extraction technique as a green extraction of bioactive compounds from food and processing waste.Not Availabl

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Characteristics of spray dried dahi powder with maltodextrin as an adjunct

This study investigated the effect of adding as a complementary drying aid of maltodextrin (MD) on spray drying of dahi powder. Dahi powders were prepared by curd adding with maltodextrin (MD) drying aid at 5%, 7.5%, 10, and 12.5% level before spray drying by maintaining with outlet air temperature and blower speed being 70°C and 2200 rpm, respectively. The survival rate of lactobacilli during spray drying of dahi powder were investigated such as 0.62% shows maximum at 7.5% maltodextrin (MD) drying aid. Tests were conducted to evaluate the powder properties relevant to physical, chemical and reconstituted properties of the spry dried dahi powder. Results showed addition of 7.5% maltodextrin (MD) aid could significantly increases the product yield for the spry drying process of dahi powder and the consumer acceptable also. At the same time values of lightness, wet ability, water solubility index, viscosity, bulk density, dispersibility and total solids increases with increasing the maltodextrin (MD) aid. Moisture content, acidity and hygroscopicity decreases with increasing maltodextrin (MD) aid in spry dried dahi powder but the values of pH and acidity remain constant during spry drying process by increasing maltodextrin (MD) aid. The flavour of reconstituted dahi samples improves as the maltodextrin content increases may be due to more acetaldehyde retention in the samples. Addition of maltodextrin (MD) aid also improves the sensory properties and overall acceptability of reconstituted spry dried dahi powder