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

A Internet of Things Improvng Deep Neural Network Based Particle Swarm Optimization Computation Prediction Approach for Healthcare System

Internet of Things (IoT) systems tend to generate with energy and good data to process and responding. In internet of things devices, the most important challenge when sending data to the cloud the level of energy consumption. This paper introduces an energy-efficient abstraction method data collection in medical with IoT-based for the exchange. Initially, the data required for IoT devices is collected from the person. First, Adaptive Optimized Sensor-Lamella Zive Welch (AOSLZW) is a pressure sensing prior to the data transmission technique used in the process. A cloud server is used data reducing  the amount of data sent from IoT devices to the AOSLZW strategy. Finally, a deep neural network (DNN) based on Particle Swarm Optimization (PSO) known as DNN-PSO algorithm is used for data sensed result model make decisions based as a predictive to make it. The results are studied under distinct scenarios of the presented of the performance for AOSLZW-DNN-PSO method, for that simation are studied under different sections. This current pattern of simalation results indicates that the AOSLZW-DNN-PSO method is effective under several aspects

Train, run, win and lead: Analysing the determinants of women empowerment

Scope: Women's empowerment is India's most effective growth weapon, as women all over the world are dynamically working as leaders and outclassing others in plentiful fields these days. While the entire world holds its breath and prays every day for an incredible COVID-19 Pandemic escape, it is the woman governors and countries regulated by these extraordinary women who are shouldering the responsibility and leading the charge wherever it is necessary. Purpose: The determination of this study is to look into the elements that determine women's empowerment and analyse their effects. Design/methodology/approach: Descriptive research technique was used for the study. A convenient sample of 200 respondents was targeted out of which 119 have provided valid answers with the response rate of 75%. The study referred to the employed questionnaire to collect primary data. The questionnaire comprised of nine demographic variables and ten factors of women empowerment. The study generates quantitative data which was implied and analysed using descriptive and inferential statistics including correlation and Chi-square test. Practical Implications: This study will help the policy makers to be proactive in designing the policies and strategies by analysing the factors which affect women empowerment.&nbsp

Evaluation of hepatoprotective activity of the fruits of coccinia grandis linn

Purpose: To evaluate the hepatoprotective activity of alcoholic extract of the fruits of Coccinia grandis Linn (Curcubitaceae) using carbon tetra chloride (CCl4)- induced hepatotoxicity in rats. Methods: The levels of serum glutamate oxaloacetate transminase (SGOT), serum glutamate pyruate transminase (SGPT), alkaline phosphatase (ALP), total protein, total and direct bilirubin were evaluated in experimental rats (with or without CCl4-induced hepatotoxicity) following administration of alcoholic extract of the fruits of C. grandis using standard procedures. The potency of the extract was compared with standard silymarin at a dose of 100 mg/kg p.o. Histopathology of the liver tissues of the animals treated with the extract was also studied. Results: At a dose level of 250 mg/kg, the alcoholic extract significantly (

Graphene oxide coated side polished surface plasmon resonance optical fibre sensor with varying polishing losses

Four batches of side-polished SMF optical fibres with different polishing losses, − 0.5 dBm, − 5 dBm, − 10 dBm and − 15 dBm were coated with a graphene oxide layer of ~ 0.5 μm via drop casting. TE polarized light was propagated through the light during experiments and four different transformer oils with different water contents were dropped onto the sensor. The drop in the power of transmitted light was recorded. The responses of the sensors showed good linearity for all, but the least polished fibre showed the weakest response in terms of power drop towards change in concentration. The − 5 dBm fibre showed the best response per unit concentration change. Additional tests showed the increased response for a GO coated side polished sensor compared to an uncoated side polished sensor. Simulation using COMSOL was performed to show the effects on the electric field of a sensor with and without GO coating. Another set of simulations were performed to show the effects of reducing cladding thickness on the coupling of the electric field. Simulations show that the optimal cladding thickness is not the most polished fibre, coinciding with our results that − 15 dBm loss fibre did not show the most response per unit change in the analyte. © 2019, Springer Science+Business Media, LLC, part of Springer Nature