Design and Analysis of Reversible Data Hiding Using Hybrid Cryptographic and Steganographic approaches for Multiple Images

Data concealing is the process of including some helpful information on images. The majority of sensitive applications, such sending authentication data, benefit from data hiding. Reversible data hiding (RDH), also known as invertible or lossless data hiding in the field of signal processing, has been the subject of a lot of study. A piece of data that may be recovered from an image to disclose the original image is inserted into the image during the RDH process to generate a watermarked image. Lossless data hiding is being investigated as a strong and popular way to protect copyright in many sensitive applications, such as law enforcement, medical diagnostics, and remote sensing. Visible and invisible watermarking are the two types of watermarking algorithms. The watermark must be bold and clearly apparent in order to be visible. To be utilized for invisible watermarking, the watermark must be robust and visibly transparent. Reversible data hiding (RDH) creates a marked signal by encoding a piece of data into the host signal. Once the embedded data has been recovered, the original signal may be accurately retrieved. For photos shot in poor illumination, visual quality is more important than a high PSNR number. The DH method increases the contrast of the host picture while maintaining a high PSNR value. Histogram equalization may also be done concurrently by repeating the embedding process in order to relocate the top two bins in the input image's histogram for data embedding. It's critical to assess the images after data concealment to see how much the contrast has increased. Common picture quality assessments include peak signal to noise ratio (PSNR), relative structural similarity (RSS), relative mean brightness error (RMBE), relative entropy error (REE), relative contrast error (RCE), and global contrast factor (GCF). The main objective of this paper is to investigate the various quantitative metrics for evaluating contrast enhancement. The results show that the visual quality may be preserved by including a sufficient number of message bits in the input photographs

Antibacterial and cell envelope damaging properties of different solvent extracts of Rhus chinensis Mill against E. coli and Staphylococcus aureus

Rhus chinensis mill., is a member of the Anacardiaceae family and it is known for treating diarrhoea, dysentery, food poisoning and gastritis. R. chinensis contains a wide array of substances that can cure various infectious diseases. These substances are biologically active components also known as secondary metabolites or phytochemicals, which help tocombat numerous diseases in the modern era. The decoction of the fruits of R. chinensis is useful for the treatment of dysentery, diarrhoea, indigestion and exhibit potential anticancer, antiviral, antimicrobial, antidiarrhoeal and antiinflammatory activities.Extracts of aqueous, ethyl acetate and methanol were tested against microorganisms and demonstrated antibacterial activity. The sample preparation for the SEM study was done according to the method described by Borthakur and Joshi. At the minimum inhibitory concentration (MIC) and concentration of 400 mg/mL the test bacteria E. coli and Staphylococcus aureus were treated with methanol extract and kept at 37ºC overnight for incubation. After incubation, the bacterial cultures were centrifuged for 20 min at 4oC at 1000 rpm, then washed three times with 0.1M sodium cacodylate buffer (pH 7.3) andthree times with distilled water by centrifuging for 3 min at 3000 rpm. R. chinensis exhibited significant antibacterial activity. The result of time kill assay of E. coli treated with methanol extract exhibited a twofold log reduction in the bacterial count at 90 min for MIC (12.5 mg/mL) and 60 min for 2 x MIC (25 mg/mL). The bacterial cells treated with themethanolic extract of R. chinensis revealed the leakage of cellular materials which exhibited absorbance at the wavelengths of 260 nm and 280 nm

Capuchin Search Particle Swarm Optimization (CS-PSO) based Optimized Approach to Improve the QoS Provisioning in Cloud Computing Environment

This review introduces the methods for further enhancing resource assignment in distributed computing situations taking into account QoS restrictions. While resource distribution typically affects the quality of service (QoS) of cloud organizations, QoS constraints such as response time, throughput, hold-up time, and makespan are key factors to take into account. The approach makes use of a methodology from the Capuchin Search Particle Large Number Improvement (CS-PSO) apparatus to smooth out resource designation while taking QoS constraints into account. Throughput, reaction time, makespan, holding time, and resource use are just a few of the objectives the approach works on. The method divides the resources in an optimum way using the K-medoids batching scheme. During batching, projects are divided into two-pack assembles, and the resource segment method is enhanced to obtain the optimal configuration. The exploratory association makes use of the JAVA device and the GWA-T-12 Bitbrains dataset for replication. The outrageous worth advancement problem of the multivariable capacity is addressed using the superior calculation. The simulation findings demonstrate that the core (Cloud Molecule Multitude Improvement, CPSO) computation during 500 ages has not reached assembly repeatedly, repeatedly, repeatedly, and repeatedly, respectively.The connection analysis reveals that the developed model outperforms the state-of-the-art approaches. Generally speaking, this approach provides significant areas of strength for a successful procedure for improving resource designation in distributed processing conditions and can be applied to address a variety of resource segment challenges, such as virtual machine setup, work arranging, and resource allocation. Because of this, the capuchin search molecule enhancement algorithm (CSPSO) ensures the success of the improvement measures, such as minimal streamlined polynomial math, rapid consolidation speed, high productivity, and a wide variety of people

Numerical Simulation and Assessment of Meta Heuristic Optimization Based Multi Objective Dynamic Job Shop Scheduling System

In today's world of manufacturing, cost reduction becomes one of the most important issues. A successful business needs to reduce its cost to be competitive. The programming of the machine is playing an important role in production planning and control as a tool to help manufacturers reduce their costs maximizing   the   use   of   their   resources.   The   programming problem is not only limited to the programming of the machine, but also covers many other areas such such as computer and information technology and communication. From the definition, programming is an art that involves allocating, planning the allocation and utilization of resources to achieve a goal. The aim of the program is complete tasks in a reasonable amount of time. This reasonableness is a performance measure of how well the resources   are   allocated   to   tasks.   Time   or   time-dependent functions are always it used as performance measures. The objectives of this research are to develop Intelligent Search Heuristic algorithms (ISHA) for equal and variable size sub lot for  m  machine  flow  shop  problems,  to  Implement  Particle Swarm Optimization algorithm (PSO) in matlab, to develop PSO based Optimization program for efficient job shop scheduling problem. The work also address solution to observe and verify results of PSO based Job Shop Scheduling with help of graft chart

Analysis of caesarean rate, indications and complications: review from medical college Ambala, Haryana, India

Background: Cesarean section remains the most commonly performed obstetric surgery but indications of it have been changed. Earlier it used to be done for health of the mother but now fetal interest has played a major role. The aim of the study was to find out incidence, indication of LSCS, maternofetal outcome in our rural medical college.Methods: This retrospective study was conducted at MMIMSR Mullana, Ambala, Haryana, India between 1st April 2015 - 30th March 2016. All women admitted for delivery in OBG department via OPD or emergency were taken in the study.Results: The total no of deliveries was 2196. There were 474 (21.6%) case of caesarean sections (LSCS). Among them 156 (32.9%) patients had elective LSCS, and 318 (67.1%) had emergency LSCS. Mean age of the study was 27.2 years. Fetal distress was the commonest indication of LSCS (25.1%) followed by pregnancy with previous LSCS. Post-partum hemorrhage (PPH) and adhesion were commonly encountered complications. Conclusions: LSCS due to maternal fetal indication is inevitable. Timely performed LSCS decrease the morbidity and mortality. Government also has taken initiative in making cesarean deliveries more acceptable and affordable to patients belonging to the rural areas

Proteomic insights into the biology of Clinostomum piscidium from a fish, Colisa fasciatus in India using computational tools

Clinostomum is a fish-borne pathogen,digenetic trematode with worldwide distribution. Despite its zoonootic significance, the molecules involved in the host-parasite interaction remains unknown. The present study deals with the proteome profile of the rDNA of Clinostomum piscidium using in silico workflow.The physicochemical properties, mass spectrometry ,atomic composition,estimated half-life in different hosts ,Grand average of hydropathy (GRAVY),extinction coefficient and instability index of the rDNA was studied.We identified hypothetical proteins(polar in nature) that showed similarities with proteins of Trichellina pseudospiralis and Melampsora laricipopulina.The functionality of these proteins revealed their role in intracellular signalling as a substrate for O - linked N - acetylglucosaminetransferases and death transcription factor(DIDO-1). This is the first report of our findings that aims to provide a better understanding of the mechanism by which this digenetic trematode adapts to extreme environments. It is expected that this study will lead to new insights into drug designing strategies and disease control

Formulation and Evaluation of Fixed Dose Combination Tablets of Antifungal Drugs for Candida albicans Resistant to Fluconazole

Background: The emergence of Candida albicans strains resistant to fluconazole (FLZ) had raised interest on combining other antifungals with FLZ. In vitro and clinical studies had indicated synergistic interaction between terbinafine and FLZ against strains resistant to FLZ and improved therapeutic efficacy. Objective: Formulation and evaluation of fixed dose combination (FDC) tablets of terbinafine HCl (TH) and FLZ for avoidance of resistance and improved therapeutic efficacy against C. albicans infections.  Method: The compatibility of TH and FLZ together and with excipients was determined by FTIR spectroscopy. A UV-visible spectroscopic Q-absorbance ratio method was developed and validated for linearity, accuracy, precision, LOD and LOQ for simultaneous estimation of TH and FLZ. The FDC tablets was prepared by wet granulation using hydroxy propyl cellulose (1%, 2%, 3%, 4% and 5%) as binder and evaluated for pre-compression and post-compression parameters. Result and Discussion: The TH and FLZ were compatible together and with excipients used in FDC. The linearity range was found to be 0.5-3.0 µg/ml and 80-400 µg/ml for TH and FLZ, respectively. Percent RSD was less than 2% indicating good accuracy and precision for proposed method. The hardness and disintegration time of tablets increased and friability decreased with increased binder concentration. Formulation F2 and F3 showed more than 80% drug release within 30 minutes. Conclusion: The TH and FLZ were compatible and can be formulated as a FDC tablet. The UV-Visible spectrophotometric method developed for simultaneous estimation was simple, accurate and sensitive. Keywords: Terbinafine, Fluconazole, Q-absorbance, Fixed Dose Combination, Candida albican

Mathematical modelling of fluid flow and solute transport to define operating parameters for in vitro perfusion cell culture systems

In recent years, there has been a move away from the use of static in vitro two-dimensional cell culture models for testing the chemical safety and efficacy of drugs. Such models are increasingly being replaced by more physiologically relevant cell culture systems featuring dynamic flow and/or three-dimensional structures of cells. While it is acknowledged that such systems provide a more realistic environment within which to test drugs, progress is being hindered by a lack of understanding of the physical and chemical environment that the cells are exposed to. Mathematical and computational modelling may be exploited in this regard to unravel the dependency of the cell response on spatio-temporal differences in chemical and mechanical cues, thereby assisting with the understanding and design of these systems. In this paper, we present a mathematical modelling framework that characterizes the fluid flow and solute transport in perfusion bioreactors featuring an inlet and an outlet. To demonstrate the utility of our model, we simulated the fluid dynamics and solute concentration profiles for a variety of different flow rates, inlet solute concentrations and cell types within a specific commercial bioreactor chamber. Our subsequent analysis has elucidated the basic relationship between inlet flow rate and cell surface flow speed, shear stress and solute concentrations, allowing us to derive simple but useful relationships that enable prediction of the behaviour of the system under a variety of experimental conditions, prior to experimentation. We describe how the model may used by experimentalists to define operating parameters for their particular perfusion cell culture systems and highlight some operating conditions that should be avoided. Finally, we critically comment on the limitations of mathematical and computational modelling in this field, and the challenges associated with the adoption of such methods