Securing Web Applications from malware attacks using hybrid feature extraction

In this technological era, many of the applications are taking the utilization of services of internet in order to cater to the needs of its users. With the rise in number of internet users, there's a substantial inflation within the internet attacks. Because of this hike, Web Services give rise to new security threats. One among the major concerns is the susceptibility of the internet services for cross site scripting (XSS). More than three fourths of the malicious attacks are contributed by XSS. This article primarily focuses on detection and exploiting XSS vulnerabilities. Generally, improper sanitization of input results in these type of susceptibilities. This article primarily focuses on fuzzing, and brute forcing parameters for XSS vulnerability. In addition, we've mentioned the planned framework for contradicting XSS vulnerability

Phytotoxicity of herbicides on Cynodon dactylon

Field experiment was conducted to manage the sedge and broad leaf weeds in lawn during November to December 2013 to February to March 2014. Experimental plot was red sandy loam soil with pH 6.50.The experimental plot consisted of bermuda grass Cynodon dactylon which was established through turfing. The experimental plot was laid out in a randomized complete block design (RCBD) having 17 treatments with three replications. Herbicide treatments include 2, 4-D sodium salt 80 WP at (2, 3 and 4g/lit of water), 2, 4-D dimethyl amine salt 58% EC at (5, 7.5 and 10 ml/lit of water), carfentrozone ethyl 40 DF at (0.25, 0.5 and 1 g/lit of water), fluroxypyr meptyl 48% EC at (1.5, 3 and 6 ml/lit of water) and chlorimuron methyl + metasulfuron methyl at (0.3, 0.4 and 0.5 g/lit of water). Hand weeding was done at every 20 days interval at 20 days after application of herbicides and also maintained one unweeded control in during November to December and February to March. The phytotoxic symptoms were observed only fluroxypyr meptyl 48% EC applied at 6 ml/lit of water at 3, 7, 10, 15 and 25 days after application of herbicides (DAAH) but it recovered at later stages. However, the other herbicides did not cause any phytotoxic effect on C. dactylon

Effect of pre harvest application of boron and zinc on post harvest quality and vaselife of carnation

The study was conducted to determine the effect of pre harvest spray of micronutrients like boron, zinc and its combination on post harvest quality and vase life of carnation. Post harvest quality of flowers like flower stalk length (65.61 cm) was maximum in the plant treated with zinc (0.3 per cent), and calyx splitting (3.12 per cent) was minimum in the plants treated with boron (0.1 per cent). Flower diameter (6.64 cm) was highest with boron (0.1 per cent) + zinc (0.3 per cent) treatment. Plants without micronutrient treatment produced poor quality flowers. Regarding vase life studies maximum water uptake and minimum transpiration loss from first day to sixteenth day was resulted in the flowers which are obtained from the plant treated with boron (0.1 per cent). The maximum fresh weight of the flower was noticed in combination of boron (0.1 per cent) + zinc (0.3 per cent) from first to sixteenth day. The foliar spray of boron (0.1 per cent) recorded maximum vase life (11.05 days). So the good quality of flowers can be improved by the foliar spray of zinc, calyx splitting can be controlled by boron foliar spray and vase life of the flower can be maintained by foliar spray of boron. It is confirmed that the foliar application of micronutrient is very much helpful for the improvement of post harvest quality and vase life of carnation

Multi-modal Human Fatigue Classification using Wearable Sensors for Human-Robot Teams

Our main objective of this study is to create a fatigue detection model using real-time data by using wearable sensors. The purpose of this research is to learn more about the way humans experience fatigue in a supervisory human-machine environment. The goal of this study is to evaluate machine learning algorithms that assess fatigue detection and to use robots for adapting its interactions. The environment itself consists of two different tasks to analyze Physical fatigue and Mental fatigue in two different task environments that are (i) Jigsaw puzzle-solving task, and (ii) Pick and Place task. Physical fatigue and mental fatigue are detected using wearable sensors: MYO armband and BioPac Bioharness. During the experiment, the Physiological metrics used are Heart rate, respiration rate, Heart rate variability, posture, breathing wave amplitude, and EMG. All these Physiological signals are collected simultaneously in a real-time task environment. The data collected by these physiological signals are then processed and machine learning and deep learning algorithms are used for further process in building a fatigue detection model

WEB BASED MANAGEMENT SYSTEM FOR HOUSING SOCIETY

Web Based Management System for Housing Society plays a major role in our day-to-day life. We develop a global web dependent application using AngularJS, Node JS and MySQL, with Xampp as the server to make an effective management system. This system is designed to provide a user-friendly and efficient platform for managing all the details of daily notices, monthly meetings, events, payments, maids etc., This system mainly consists of three modules, they are: Admin, User and Security. Each module here serves specific features and functionalities present within society. Admin module provides the features for managing user, houses, security, maids, notices, events, payment and voting information where we can add and view the details required as per the features. User module has features like events, notices, payments and voting where we can view the information provided by admin and make an action according to that. Security module has features like visitors, maids, notices, events and provide information as per the specific feature

Power quality event classification using complex wavelets phasor models and customized convolution neural network

Origin and triggers of power quality (PQ) events must be identified in prior, in order to take preventive steps to enhance power quality. However it is important to identify, localize and classify the PQ events to determine the causes and origins of PQ disturbances. In this paper a novel algorithm is presented to classify voltage variations into six different PQ events considering the space phasor model (SPM) diagrams, dual tree complex wavelet transforms (DTCWT) sub bands and the convolution neural network (CNN) model. The input voltage data is converted into SPM data, the SPM data is transformed using 2D DTCWT into low pass and high pass sub bands which are simultaneously processed by the 2D CNN model to perform classification of PQ events. In the proposed method CNN model based on Google Net is trained to perform classification of PQ events with default configuration as in deep neural network designer in MATLAB environment. The proposed algorithm achieve higher accuracy with reduced training time in classification of events than compared with reported PQ event classification methods

Green synthesis and biological evaluation of novel 5-fluorouracil derivatives as potent anticancer agents

This study reports the formation of 5-FU co-crystals with four different pharmacologically safe co-formers; Urea, Thiourea, Acetanilide and Aspirin using methanol as a solvent. Two fabrication schemes were followed i.e., solid-state grinding protocol, in which API and co-formers were mixed through vigorous grinding while in the other method separate solutions of both the components were made and mixed together. The adopted approaches offer easy fabrication protocols, no temperature maintenance requirements, no need of expensive solvents, hardly available apparatus, isolation and purification of the desired products. In addition, there is no byproducts formation, In fact, a phenomenon embracing the requirements of green synthesis. Through FTIR analysis; for API the Nsingle bondH absorption frequency was recorded at 3409.02 cm−1 and that of single bondCdouble bondO was observed at 1647.77 cm−1. These characteristics peaks of 5-FU were significantly shifted and recorded at 3499.40 cm−1 and 1649.62 cm−1 for 5-FU-Ac (3B) and 3496.39 cm−1 and 1659.30 cm−1 for 5-FU-As (4B) co-crystals for Nsingle bondH and single bondCdouble bondO groups respectively. The structural differences between API and co-crystals were further confirmed through PXRD analysis. The characteristic peak of 5-FU at 2θ = 28.79918o was significantly shifted in the graphs of co-crystals not only in position but also with respect to intensity and FWHM values. In addition, new peaks were also recorded in all the spectra of co-formers confirming the structural differences between API and co-formers. In addition, percent growth inhibition was also observed by all the co-crystals through MTT assay against HCT 116 colorectal cell lines in vitro. At four different concentrations; 25, 50, 100 and 200 µg/mL, slightly different trends of the effectiveness of API and co-crystals were observed. However; among all the co-crystal forms, 5-FU-thiourea co-crystals obtained through solution method (2B) proved to be the most effective growth inhibitor at all the four above mentioned concentrations

DNA Bar-coding: A Novel Approach for Identifying an Individual Using Extended Levenshtein Distance Algorithm and STR analysis

DNA bar-coding is a technique that uses the short DNA nucleotide sequences from the standard genome of the species in order to find and group the species to which it belongs to. The species are identified by their DNA nucleotide sequences in the same way the items are recognized and billed in the supermarket using barcode scanner to scan the Universal Product Code of the items. Two items may look same to the untrained eye, but in both cases the barcodes are distinct. It was possible to create DNA-barcodes to characterize species by analysing DNA samples from fish, birds, mammals, plants, and invertebrates using Smith-waterman and Needleman-Wunsch algorithm. In this work we are creating human DNA barcode and implementing Extended Levenshtein distance algorithm along with STR analysis that uses less computation time compared to the previously used algorithms to measure the differential distance between the two DNA nucleotide sequences through which an individual can be identified

A Novel 31 Level Inverter with Level Boosting Network to Improve Power Quality in Distribution Network

In this project, a new general cascaded multilevel inverter using developed H-bridges is proposed. The proposed topology requires a lesser number of dc voltage sources and power switches and consists of lower blocking voltage on switches, which results in decreased complexity and total cost of the inverter. These abilities obtained within comparing the proposed topology with the conventional topologies from aforementioned points of view. Moreover, a new algorithm to determine the magnitude of dc voltage sources is proposed. The performance and functional accuracy of the proposed topology using the new algorithm in generating all voltage levels for a 31-level inverter are confirmed by simulation and experimental results   &nbsp