SMC PROTOCOL FOR DISTRIBUTED K- ANONYMITY

Secure multiparty protocols have been proposed to enable non colluding parties to cooperate without a trusted server. Even though such protocols put off information exposé other than the objective function, they are quite costly in computation and communication. The high overhead motivates parties to estimate the utility that can be achieved as a result of the protocol beforehand. To avoid this issue we propose a look-ahead approach, specifically for secure multiparty protocols to achieve distributed k-anonymity, which helps parties to decide if the utility benefit from the protocol is within an acceptable range before initiating the protocol. The look-aheadoperation is highly localized and its accuracy depends on the amount of information the parties are willing toshare. Experimental results show the effectiveness of the proposed methods

A New Hybrid Artificial Neural Network Based Control of Doubly Fed Induction Generator

In this paper, Hybrid Artificial Neural Network (ANN) with Proportional Integral (PI) control technique has been developed for Doubly Fed Induction Generator (DFIG) based wind energy generation system and the performance of the system is compared with NN and PI control techniques. With the increasing use of wind power generation, it is required to instigate the dynamic performance analysis of Doubly Fed Induction Generator under various operating conditions. In this paper, three control techniques have been proposed, the first one is using PI controller, the second one is ANN control, and the third one is based on combination of ANN and PI. The performance of the proposed control techniques is demonstrated through the results, determined by using MATLab/Simulink. From the results it is observed that the dynamic performance of the DFIG is improved with the Hybrid control technique

Predictive Direct Torque Control Strategy for Doubly Fed Induction Machine for Torque and Flux Ripple Minimization

The main drawback of Direct Torque Control (DTC) or Direct Power Control (DPC) is non-constant switching frequency; this drawback can be eliminated by employing predictive DTC. The predictive DTC technique is employed without much complicated online calculations by simply implementing constant switching times for active rotor voltage vectors to reduce torque and flux ripples and achieve constant switching frequency. The predictive DTC strategy has been implemented for RSC of Doubly Fed Induction Machine (DFIM). The performance of the proposed control methodology is compared with the classical DTC method under various operating conditions such as step change in torque, continuous variation of torque command, and the performance of DFIM near synchronous speed. It is found that the performance of the proposed predictive DTC strategy of DFIM is quite good compared to classical DTC strategy

Hall Current Effects on MHD Convective Flow Past a Porous Plate with Thermal Radiation, Chemical Reaction and Heat Generation/Absorption

In this paper an attempt is made to study the chemical reaction and combined buoyancy effects of thermal and mass diffusion on MHD convective flow along an infinite vertical porous plate in the presence of Hall current with variable suction and heat generation. A uniform magnetic field is applied in a direction normal to the porous plate. The equations governing the fluid flow are solved using the perturbation technique and the expressions for the velocity, the temperature and the concentration distributions have been obtained. Dimensionless velocity, temperature and concentration profiles are displayed graphically for different values of the parameters entering into the problem like Prandtl number Pr, Hartmann number M, Grashof number G, modified Grash of number Gc, Hall parameter m, Heat source parameter χ, Schmidt number Sc, and Chemical reaction parameter ξ. The Skin-friction coefficient, rate of heat transfer and mass transfer at the plate have been obtained and also discussed through tables. It has been observed that an increase in the Prandtl number leads to a decrease in the primary and secondary velocities, and also a decrease in the temperature. The primary and secondary velocities decrease with increase in the Chemical reaction parameter or Magnetic field parameter

A STUDY OF STOOL SAMPLE FROM HIV POSITIVE AND HIV NEGATIVE AT ANDHRA PRADESH.

 Objective: The objective of this study is to investigate the variations, if any, in the types of intestinal parasites in HIV-positive and HIV-negative individuals.Methods: For their HIV status in our laboratory by enzyme-linked immunoasorbant assay and TRIDOT, sample stool, macroscopic and microscopic examination, formal-ether concentration technique f, saline wet mount, iodine wet mount, modified acid-fast stain. Results: For the purpose of statistical analysis, the enteric parasites are divided into the coccidian group (Cryptosporidium+Isospora belli) and conventional enteric parasites (Entamoeba histolytica, Giardia intestinalis, and Ascaris lumbricoides), and enteric parasitic infection is more common in HIV-positive patients with diarrhea than HIV-positive patient without diarrhea or HIV-negative individuals.Conclusion: The study period of 1 year and 8 months revealed that it is difficult to locate/identify a HIV-positive person in a place like Kadapa on account of confidentiality/lack of awareness among the population. Detection of intestinal parasites is 17.3% in HIV-positive patients and 12% in HIV-negative individuals

PREVALENCE OF FUNGAL IN OPPORTUNISTIC INFECTION HIV TYPE-1 IN SUBURBAN, KADAPA

Objective: Isolate fungal element causing in opportunistic infection of human immunodeficiency virus and correlated with CD4 cell counts.Methods: Different samples are used and media: Sabouraud dextrose agar, using mycological methods such as potassium hydroxide, lactophenol cotton blue mount, India ink preparation, and Gram-staining.Results: Both bacterial and fungal isolates were obtained from 8 cases. Pneumococci and Candida spp. were observed in 3 cases followed by Staphylococcus aureus and Aspergillus in 2 cases, Klebsiella pneumoniae and Geotrichum spp., Pneumococci and Penicillium spp., and Acinetobacter baumannii, and Cryptococcus spp. from 1 case each. Only fungal isolates were obtained from 6 cases of sputum samples. Candida spp. (50%) were predominant fungal isolate followed by Aspergillus spp. (33.33%) and Cryptococcus spp. (16.66%). Cryptococcus spp. was the predominant fungal isolate (66.6%) followed by Candida pseudotropicalis (Kefyr) in 16.66% (1/6) and Acinetobacter spp. was isolated from 16.66 % (1/6).Conclusion: Respiratory infections were the predominant manifestations comprising chronic bronchitis, pneumonia, chronic obstructive pulmonary disease, and chronic cough. 66 individuals were with respiratory symptoms, of them 28 individuals had CD4 count 50-200/mm3, 22 had CD4 <50/mm3

A Comparative study of oxidant and Anti-oxidant parameters in Chronic Renal Failure, Haemodialysis (Pre &Post) and Controls

Chronic kidney disease (CKD) is featured by a progressive decline of kidney function and is mainly caused by chronic diseases such as diabetes mellitus and hypertension. CKD is a complex disease due to cardiovascular complications and high morbidity; however, there is no single treatment to improve kidney function in CKD patients. Since biological markers representing oxidative stress are significantly elevated in CKD patients, oxidative stress is receiving attention as a contributing factor to CKD pathology. Aim of our study is comparison of oxidant and anti oxidant parameters in chronic renal failure, Hemodialysis (pre and post) and control subjects. Materials and Methods: The present study was conducted on a patient group comprising of 50 patients diagnosed with CRF, 50 were pre hemodialysis, 50 were post hemodialysis (MHD). This patient group was compared to a healthy group including 100 controls. All the study participants were admitted in the department of Medicine [Nephrology department] at “Fathima Institute of Medical Sciences”, Kadapa. Andhra Pradesh. India. The obtained serum samples were used for biochemical analysis for estimating MDA, vitamin A and Glutathione Peroxidase (GPx). Conclusion: Our results reflects the primary mechanisms of oxidative stress and inflammation during hemodialysis which may cause of CVD development in hemodialysed patients

Large Eddy simulations of premixed turbulent combustion

In the past two decades, Large-Eddy Simulation (LES) has become well established for modelling non-reacting flows. However, LES is still undergoing significant development for reacting flows. The most challenging topic in LES of combusting flows is modelling the reaction rate. To this end, several models have been proposed in the literature. Many of the models proposed so far are limited to corrugated flame (CF) regime. However, in many premixed combustion applications both CF and thin reaction zone (TRZ) regimes exist. There is, therefore, a need for accurate and robust physical modelling of the reaction rate across different regimes of premixed flames. In this thesis, a new flame wrinkling model is proposed based on fractal geometry concept requiring the modelling of an inner cut-off scale and fractal dimension. Damk¨ohler s limiting scaling laws are used to infer the cut-off and fractal dimension in limiting regimes. The assumptions made to obtain the fractal dimension in the proposed model are tested by analysing fractal characteristics of several thermochemical and thermo-nuclear direct numerical simulation (DNS) data sets featuring Damk¨ohler numbers. The fractal dimension is found to vary between 2.1 to 2.7 in the thermo-chemical hydrogen air turbulent premixed flames. The thermo-nuclear supernovae flames, which are in distributed regimes of combustion, yield fractal dimension about 2.7. The results for the maximum fractal dimensions are higher than previously reported in the literature and can be explained theoretically by a Reynolds number similarity argument which shows that the limiting value of the fractal dimension at low Damk¨ohler number is 8/3. To assess the performance of the new proposed model and also the models reported in the literature, a priori analysis of two DNS data sets are used. The sub-grid models are assessed using constant coefficient and dynamic coefficient versions using an approximate Germano identity. The effects of filter size on the performance of the models are also investigated. A priori assessments of the models show very good results for the models having power law form for all DNS data and filter sizes. In addition to this, a posteriori tests are conducted to assess these models in a slot Bunsen burner configuration in the TRZ regime. A combined progress variable and level set model has been used to model reaction rate. Chemistry is obtained from tabulated chemistry by solving strained and unstrained flamelets. The comparison of a priori and a posteriori results with the DNS data provides strong support for the validity of the proposed model

Comparative Study on Serum Enzyme Levels in Cirrhosis of Liver and Alcoholic Liver Disease

Patients with chronic liver diseases are asymptomatic or have only vague non-specific symptoms. Effective medical treatments for chronic liver disease (before cirrhosis is established) are becoming increasingly available and since abnormal LFTs may be the only indication of this diseases. Aims: comparative study on serum Enzyme levels in various liver diseases. Discussion: serum Alkaline phosphatase(ALP), Gamma Glutamyl transferase (Gamma GT), Alanine and Aspartate amino transferases were estimated in viral Hepatitis, Alcoholic liver diseases, Obstructive jaundice, cirrhosis of the liver. It was observed that obstructive jaundice shows higher levels of ALP levels followed by alcoholic liver disease, viral hepatitis, cirrhosis of liver. Viral hepatitis shows higher rise of SGOT, SGPT levels, followed by alcoholic liver disease, obstructive jaundice, and cirrhosis of liver. Gamma Glutamyl transferase enzymes highest levels are seen in alcoholic liver disease. Conclusion: These enzymatic variations are useful to diagnose the disease and classify them according to etiology