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<title>2018</title>
<link>http://localhost:8080/xmlui/handle/123456789/7642</link>
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<pubDate>Thu, 30 Apr 2026 09:30:02 GMT</pubDate>
<dc:date>2026-04-30T09:30:02Z</dc:date>
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<title>In-vitro synthesis of marble apatite as a novel adsorbent for removal of fluoride ions from ground water: An ultrasonic approach</title>
<link>http://localhost:8080/xmlui/handle/123456789/8173</link>
<description>In-vitro synthesis of marble apatite as a novel adsorbent for removal of fluoride ions from ground water: An ultrasonic approach
Mehta, Dhiraj; Mondal, Poonam; Saharan, Virendra Kumar; George, Suja
Marble waste powder consisting of calcium and magnesium compounds was used to synthesize a novel biocompatible product, marble apatite (MA) primarily hydroxyapatite (Hap) for applications in defluoridation of drinking water. Synthesis of marble apatite was carried out by using calcium compounds (mixture of hydroxide and nitrate) extracted from marble waste powder which was treated with potassium dihydrogen phosphate at 80 °C under alkaline conditions using conventional precipitation method (CM) and ultrasonication method (USM). Qualitative analysis of synthesized marble apatite from both the methods was carried out using FTIR, phase analysis by XRD and microstructure analysis by SEM and TEM. When ultrasonication (USM) method was used, the yield of marble apatite was improved from 67.5% to 78.4%, with reduction in crystallite size (58.46 nm), lesser agglomeration and comparatively well-defined spherical morphology compared to the CM method. Studies also include estimation of the defluoridation capacity of MA as an adsorbent for drinking water treatment and effects of process parameters such as pH, contact time, initial fluoride concentration, dosage and presence of other co-ions on fluoride removal capacity. The results showed that the experimental adsorption capacity of the marble apatite synthesized using USM method was significantly higher (1.826 mg/g) than marble apatite synthesized using conventional method (0.96 mg/g) at pH 7 with a contact time of 90 min. The mechanism of adsorption was studied, and it was observed that Langmuir isotherm model fitted best to the experimental data, while the kinetic studies revealed that the process followed pseudo-second order model.&#13;
This novel compound, marble apatite synthesized from marble waste powder is found to be promising for defluoridation of drinking water and will help in alleviating the problems of fluorosis as well as reduce the problems of disposal of marble waste.
</description>
<pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
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<dc:date>2018-01-01T00:00:00Z</dc:date>
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<item>
<title>Urea based sols as binder for nano-oxide bonded high alumina refractory castables</title>
<link>http://localhost:8080/xmlui/handle/123456789/8163</link>
<description>Urea based sols as binder for nano-oxide bonded high alumina refractory castables
Singh, Akhilesh Kr; Sarkar, Ritwik
Cement free high pure alumina castables are developed for high temperature applications with nano oxide bonding developed by using different sol systems synthesized by using urea as the precipitating and hydrolyzing agent. Bonding of the constables is based on nano oxide powders of alumina, mullite and spinel compositions using their respective sols as bonding agents. The sols are prepared from nitrate precursors using urea and are used in the high alumina castable formulation. The castable compositions are conventionally processed using the synthesized sols as sole binders and characterized for various refractory properties after heat treatment at different temperatures. These synthesized sol containing compositions are also compared with the commercial silica sol containing ones and cement bonded castables, processed under similar conditions. Considerable improvement in terms of hot strength, corrosion resistance and thermal shock resistance are obtained for the synthesized sol containing nano oxide bonded castables.
</description>
<pubDate>Wed, 01 Aug 2018 00:00:00 GMT</pubDate>
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<dc:date>2018-08-01T00:00:00Z</dc:date>
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<item>
<title>Implement 5s Techniques in Order to Reduce Wastes in Store</title>
<link>http://localhost:8080/xmlui/handle/123456789/8162</link>
<description>Implement 5s Techniques in Order to Reduce Wastes in Store
Parmar, Mehul R; Trivedi, Snehal
In competitive markets of 21st-century demands are for increasing high variety of products at reducing cost with best quality. In store, there are wide scopes of applying lean tool and get a huge benefit from it. 5s is the base of lean tools and by applying it we get maximum output. Carton free delivery or elimination of carton is first step of implementing 5s. By implementing carton free delivery we will directly archive 1st face of 5s which is short. Short simple mining is that remove unwanted material. Carton free delivery also target over processing which is one of the waste from seven wastes.
</description>
<pubDate>Thu, 01 Mar 2018 00:00:00 GMT</pubDate>
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<dc:date>2018-03-01T00:00:00Z</dc:date>
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<item>
<title>Comparison of feature extraction techniques for classification of hardwood species</title>
<link>http://localhost:8080/xmlui/handle/123456789/8149</link>
<description>Comparison of feature extraction techniques for classification of hardwood species
Yadav, Arvind R.; Anand, R. S.; Dewal, M. L.; Gupta, Sangeeta; Kumar, Jayendra
The texture of an image plays an important role in identification and classification of images. The hardwood species of an image contains four key elements namely: vessels (popularly known as pores in cross-section view), fibres, parenchyma's and rays, useful in its identification and classification. Further, the arrangements of all these elements posses texture rich features. Thus, in this work investigation of existing texture feature extraction techniques for the classification of hardwood species have been done. The texture features are extracted from greyscale images of hardwood species to reduce the computational complexity. Further, linear support vector machine (SVM), radial basis function (RBF) kernel SVM, random forest (RF) and linear discriminant analysis (LDA) have been employed as classifiers to investigate the efficacy of the texture feature extraction techniques. The classification accuracy of the existing texture descriptors has been compared. Further, principal component analysis (PCA) and minimal-redundancy-maximal-relevance (mRMR) feature selection method is employed to select the best subset of feature vector data. The PCA reduced feature vector data of co-occurrence of adjacent local binary pattern (CoALBP24) texture feature extraction technique has attained maximum classification accuracy of 96.33 ± 1.14% with the help of LDA classifier.
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<pubDate>Mon, 01 Jan 2018 00:00:00 GMT</pubDate>
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<dc:date>2018-01-01T00:00:00Z</dc:date>
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