FVI-BD: Multiple File Extraction using Fusion Vector Investigation (FVI) in Big Data Hadoop Environment

— The Information Extraction (IE) approach extracts useful data from unstructured and semi-structured data. Big Data, with its rising volume of multidimensional unstructured data, provides new tools for IE. Traditional Information Extraction (IE) systems are incapable of appropriately handling this massive flood of unstructured data. The processing capability of current IE systems must be enhanced because to the amount and variety of Big Data. Existing IE techniques for data preparation, extraction, and transformation, as well as representations of massive amounts of multidimensional, unstructured data, must be evaluated in terms of their capabilities and limits. The proposed FVI-BD Framework for IOT device Information Extraction in Big Data. The unstructured data has cleaned and integration using POS tagging and similarity finding using LTA method. The features are extracted using TF and IDF. The Information extracted using NLP with WordNet. The classification has done with FVI algorithm.  This research paper discovered that vast data analytics may be enhanced by extracting document feature terms with synonymous similarity and increasing IE accuracy

Mechanical Characterization of Coir Fiber and Cotton Fiber Reinforced Unsaturated Polyester Composites for Packaging Applications

The aim of this work is to develop a natural fiber composites that can become a substitute for plywood and medium density fiber boards used in packaging application. In this work, the composite was fabricated with randomly oriented chopped coir and cotton fiber reinforced with unsaturated polyester resin. The different types of composite materials were prepared with different quantity of coir fiber and cotton fiber reinforced with unsaturated polyester by using hand lay-up technique. Mechanical properties such as tensile, flexural, impact and hardness strength are evaluated. Scanning Electron Microscope (SEM) was conducted on the fabricated composite to analysis the interfacial properties, internal cracks and internal structure of the fractured surfaces. Based on the results, cotton fiber reinforced with unsaturated polyester has better mechanical properties to be used for packaging applications compared with other combinations of coir/cotton fiber reinforced with unsaturated polyester

Corrosion protection of mild steel by a new phosphonate inhibitor system in aqueous solution

A protective film has been developed on the surface of the mild steel in low chloride aqueous environment using a synergistic mixture of an eco friendly inhibitor, imino dimethyl phosphonic acid (IDMPA) and Zn2+. The synergistic effect of IDMPA in controlling corrosion of the mild steel has been investigated by gravimetric and electrochemical studies in the presence of Zn2+. The formulation consisting of IDMPA and Zn2+ has excellent inhibition efficiency. The mixed mode of inhibition studied by potentiodynamic polarization and electrochemical impedance spectroscopy has shown that the changes in the impedance parameters like charge transfer resistance (Rct) and constant phase element (CPE) confirm the strong adsorption on the mild steel. Surface characterization inspection using Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDS) is used to ascertain the nature of the protective film. The mechanistic aspects of corrosion inhibition are proposed