An Efficient Modelling of Oversampling with Optimal Deep Learning Enabled Anomaly Detection in Streaming Data

Recently,anomaly detection(AD)in streaming data gained significant attention among research communities due to its applicability in finance,business,healthcare,education,etc.The recent developments of deep learning(DL)models find helpful in the detection and classification of anomalies.This article designs an oversampling with an optimal deep learning-based streaming data classification(OS-ODLSDC)model.The aim of the OSODLSDC model is to recognize and classify the presence of anomalies in the streaming data.The proposed OS-ODLSDC model initially undergoes preprocessing step.Since streaming data is unbalanced,support vector machine(SVM)-Synthetic Minority Over-sampling Technique(SVM-SMOTE)is applied for oversampling process.Besides,the OS-ODLSDC model employs bidirectional long short-term memory(Bi LSTM)for AD and classification.Finally,the root means square propagation(RMSProp)optimizer is applied for optimal hyperparameter tuning of the Bi LSTM model.For ensuring the promising performance of the OS-ODLSDC model,a wide-ranging experimental analysis is performed using three benchmark datasets such as CICIDS 2018,KDD-Cup 1999,and NSL-KDD datasets.

Improved Rat Swarm Based Multihop Routing Protocol for Wireless Sensor Networks

Wireless sensor networks(WSNs)encompass a massive set of sensor nodes,which are self-configurable,inexpensive,and compact.The sensor nodes undergo random deployment in the target area and transmit data to base station using inbuilt transceiver.For reducing energy consumption and lengthen lifetime of WSN,multihop routing protocols can be designed.This study develops an improved rat swarm optimization based energy aware multi-hop routing(IRSO-EAMHR)protocol for WSN.An important intention of the IRSO-EAMHR method is for determining optimal routes to base station(BS)in the clustered WSN.Primarily,a weighted clustering process is performed to group the nodes into clusters and select cluster heads(CHs).Next,the IRSO-EAMHR approach derives afitness function containing three input parameters(residual energy,dis-tance,and node degree)for routing process.The IRSO technique was designed by the integration of Levy movement concepts into the traditional RSO algorithm.The experimental result analysis of the IRSO-EAMHR technique is carried out and the outcomes are examined in various aspects.The simulation outcomes demonstrate the promising performance of the IRSO-EAMHR technique over the recent state of art approaches.

An Improved Steganographic Scheme Using the Contour Principle to Ensure the Privacy of Medical Data on Digital Images

With the improvement of current online communication schemes,it is now possible to successfully distribute and transport secured digital Content via the communication channel at a faster transmission rate.Traditional steganography and cryptography concepts are used to achieve the goal of concealing secret Content on a media and encrypting it before transmission.Both of the techniques mentioned above aid in the confidentiality of feature content.The proposed approach concerns secret content embodiment in selected pixels on digital image layers such as Red,Green,and Blue.The private Content originated from a medical client and was forwarded to a medical practitioner on the server end through the internet.The K-Means clustering principle uses the contouring approach to frame the pixel clusters on the image layers.The content embodiment procedure is performed on the selected pixel groups of all layers of the image using the Least Significant Bit(LSB)substitution technique to build the secret Content embedded image known as the stego image,which is subsequently transmitted across the internet medium to the server end.The experimental results are computed using the inputs from“Open-Access Medical Image Repositories(aylward.org)”and demonstrate the scheme’s impudence as the Content concealing procedure progresses.

Antifungal activity of Aegle marmelos(L.) Correa(Rutaceae) leaf extract on dermatophytes

Objective:To evaluate the in vitro antifungal activity of Aegle marmelos leaf extracts and fractions on the clinical isolates of dermatophytic fungi like Trichophyton mentagrophytes,Trichophyton rubrum,Microsporum canis,Microsporum gypseum and Epidermophyton floccosum.Methods:The minimum inhibitory concentration(MIC) and minimum fungicidal concentration(MFC) of various extracts and fractions of the leaves of Aegle marmelos were measured using method of National Committee for Clinical Laboratory Standards(NCCLS).Results:Aegle marmelos leaf extracts and fractions were found to have fungicidal activity against various clinical isolates of dermatophytic fungi.The MIC and MFC was found to be high in water and ethyl alcohol extracts and methanol fractions(200μg/mL) against dermatophytic fungi studied.Conclusions:Aegle marmelos leaf extracts significantly inhibites the growth of all dermatophytic fungi studied.If this activity is confirmed by in vivo studies and if the compound is isolated and identified,it could be a remedy for dermatophytosis.

Antifungal activity of Ocimum sanctum Linn.(Lamiaceae) on clinically isolated dermatophytic fungi

Objective:To assess antifungal activity of Ocimum sanctum leaves against dermatophytic fungi. Methods:Antifungal activity of Ocimum sanctum leaves was measured by 38 A NCCLS method. Minimum inhibitory concentration(MIC) and minimum fungicidal concentration(MFC) of various extracts and fractions of Ocimum sanctum leaves were also determined.Results:Ocimum sanctum leaves possessed antifungal activity against clinically isolated dermatophytes at the concentration of 200μg/mL.MIC and MFC were high with water fraction(200μg/mL) against dermatophytic fungi used.Conclusions:Ocimum sanctum has antifungal activity,and the leaf extracts may be a useful source for dermatophytic infections.

Secret Image Communication Scheme Based on Visual Cryptography and Tetrolet Tiling Patterns

Visual cryptographic scheme is specially designed for secret image sharing in the form of shadow images.The basic idea of visual cryptography is to construct two or more secret shares from the original image in the form of chaotic image.In this paper,a novel secret image communication scheme based on visual cryptography and Tetrolet tiling patterns is proposed.The proposed image communication scheme will break the secret image into more shadow images based on the Tetrolet tiling patterns.The secret image is divided into 4×4 blocks of tetrominoes and employs the concept of visual cryptography to hide the secret image.The main feature of the proposed scheme is the selection of random blocks to apply the tetrolet tilling patterns from the fundamental tetrolet pattern board.Single procedure is used to perform both tetrolet transform and the scheme of visual cryptography.Finally,the experimental results showcase the proposed scheme is an extraordinary approach to transfer the secret image and reconstruct the secret image with high visual quality in the receiver end.

Effect of Dust and Shadow on Performance of Solar Photovoltaic Modules: Experimental Analysis

This study presents an experimental performance of a solar photovoltaic module under clean,dust,and shadow conditions.It is found that there is a significant decrease in electrical power produced(40%in the case of dust panels and 80%in the case of shadow panels)and a decrease in efficiency of around 6%in the case with dust and 9%in the case with the shadow,as compared to the clean panel.From the results,it is clear that there is a substantial effect of a partial shadow than dust on the performance of the solar panel.This is due to the more obstruction of the sunlight by the shadowed area compared to the dust.The dust being finer particles for the given local experimental condition did not influence the panel than the shadow.The main outcome of this study is that the shadowing effect may cause more harm to the PV module than dust for the given experimental conditions.However,Further long-term studies on the effect of dust and shadow are needed to understand the effect on performance degradation and module life.

Growth and Study of ADP Crystal Doped with Acridine Orange

Materials with large non-linear optical properties are good candidates for applications in the fields of telecommunications, solar energy conversion, laser treatment and so on. In the present study, a crystal of Ammonium Dihydrogen Orthophosphate doped with Acridine Orange, possessing excellent nonlinear optical properties were grown by the slow solvent evaporation technique at 25°C using a constant temperature bath. Ammonium dihydrogen orthophosphate doped with Acridine Orange were synthesized in a large quantity via solution growth method using aqueous mixtures of Ammonium Dihydrogen Orthophosphate and Acridine Orange. The morphological characteristics were studied by field emission scanning electron microscopy which revealed that the synthesized product possesses needle shaped microstructures. The mechanical properties are studied by Vicker’s micro hardness test.