Informatics Publishing Limited

V. Vasanta Kumar ¹, T. Srinivasa Rao ¹, B. Srinivasa Kumar ¹

Affiliations
1 Department of Mathematics, K. L. University, Vaddeswaram, Andhra Pradesh, IN

Abstract

This paper deals with the economic behavior of an Npolicy M/Ek/1 queue with server startup, two-phases of compulsory service with gating and unreliable server, which consists of a breakdown period and a delay period. The customers arrive individually according to the Poisson process and all the waiting customers receive batch service at a time in the first phase and proceed to the second phase for individual service. The server is turned off each time the system is emptied. As and when the total number of customers in the system reaches the threshold N (N≥1), the server immediately turned on but is temporarily unavailable to serve the waiting customers. The server requires time for the preparatory work before starting the service. As soon as the startup period is over, the server starts the batch service followed by the individual service to all customers in the batch. The customers who arrive during batch service are not allowed to enter the batch which is in service This criterion is called gating. It is assumed that the server may breakdown while serving in the individual queue according to the Poisson process and there may be a delay in repair due to non availability of the repairing facility. It is assumed that the startup times, the batch service times, the delay times and the repair times follow exponential distribution. Explicit expressions for the steady state distributions of the number of customers in the system are obtained and also the expected system length is derived. This paper also deals with the total expected cost function which is developed to determine the optimal threshold of N at a minimum cost. Sensitivity analysis is carried out with numerical illustrations.

Keywords

Two-Phase, Vacation, Breakdowns, N-Policy, Repair Time, Delay Time, Cost Function.

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Shaik Akbar ¹, T. Srinivasa Rao ¹, Mohammed Ali Hussain ¹

Affiliations
1 Department of CSE, Andhra Loyola Institute of Engineering College, Vijayawada - 520008, Andhra Pradesh, IN

Abstract

Objective: Network security plays a key role for many organizations. Host based and network based Intrusion Detection Systems are available in the market depending upon the detection technology used by them. The objective of this research paper is maintaining security across the heterogeneous data from homogeneous sources and co-relating the heterogeneous data from different sources using hybrid strategy. Methods/Statistical Analysis: A real time detection Intrusion Prevention Systems (IPS), prevents security intrusions by gathering and composing with technologies. Findings: Heterogeneous data from different sources has been collected from KDD Cup Dataset and segregated into learning phase and detection phase. In the learning phase, known attacks will be identified. Similarly detection phase also will consider the same. Applications/Improvements: The proposed system specifies a set of rules and high DoS, R2L, U2R, Probe. One may attempt to get good results by improving the efficiency and reducing the complexity present in the model. In future several reduction techniques may be studied to get more features.

Keywords

Big-Data, Host Based, IDS, Network Based, Security.

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I. S. Siva Rao ¹, T. Srinivasa Rao ², P. H. S. Tejo Murthy ³

Affiliations
1 Department of Information Technology, Raghu Engineering College, IN
2 Department of Computer Science and Engineering, GITAM Institute of Technology, GITAM University, IN
3 Department of Electrical and Instrumentation Engineering, GITAM Institute of Technology, GITAM University, IN

Abstract

Electrocardiogram (ECG) is a graphical representation generated by heart muscle. ECG plays an important role in diagnosis and monitoring of heart's condition. The real time analyzer based on filtering, beat recognition, clustering, classification of signal with maximum few seconds delay can be done to recognize the life threatening arrhythmia. ECG signal examines and study of anatomic and physiologic facets of the entire cardiac muscle. The inceptive task for proficient scrutiny is the expulsion of noise. It is attained by the use of wavelet transform analysis. Wavelets yield temporal and spectral information concurrently and offer stretchability with a possibility of wavelet functions of different properties. This paper is concerned with the extraction of QRS complexes of ECG signals using Discrete Wavelet Transform based algorithms aided with MATLAB. By removing the inconsistent wavelet transform coefficient, denoising is done in ECG signal. In continuation, QRS complexes are identified and in which each peak can be utilized to discover the peak of separate waves like P and T with their derivatives. Here we put forth a new combinatory algorithm builded on using Pan-Tompkins' method and multi-wavelet transform.

Keywords

Electrocardiogram (ECG), QRS Detection, Wavelet Transform, Denoising, Pan-Tompkins’.

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P. Sai Praveen ¹, M. Shaiba ¹, S. K. Rasool ¹, T. Srinivasa Rao ¹, D. Prasad Babu ¹

Affiliations
1 K.V.S.R. Siddhartha College of Pharmaceutical Sciences, Siddhartha Nagar, Vijayawada -520010, A.P., IN

Abstract

Two simple and sensitive spectrophotometric methods have been developed for the estimation of Milnacipran in pure and pharmaceutical dosage forms. Method A is based on oxidative coupling of the drug with folin-ciocaltaeu reagent (F.C.reagent) λmax 780nm. Method B is based on oxidation followed by complex formation when the drug reacts with P-Methylamino phenolsulphate (Metol reagent) λmax 540nm. The absorbance of the colored species is measured against the corresponding reagent blank. These methods have been statistically evaluated and found to be precise and accurate.

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M. Soma Sekhar ¹, N. Mohammad Sharif ², T. Srinivasa Rao ¹, M. Metta ³

Affiliations
1 Department of Veterinary Public Health and Epidemiology, NTR College of Veterinary Science, Sri Venkateswara Veterinary University, Gannavaram, Andhra Pradesh, IN
2 Department of Veterinary Microbiology, College of Veterinary Science, Tirupati, Andhra Pradesh, IN
3 Department of Animal Genetics and Breeding, NTR College of Veterinary Science, Gannavaram, Andhra Pradesh, IN

Abstract

Aim: The aim of this study was to characterize virulent Escherichia coli isolated from different poultry species and poultry farm workers using enterobacterial repetitive intergenic consensus-polymerase chain reaction (ERIC-PCR) genotyping.
Materials and Methods: Fecal swabs from different poultry species (n=150) and poultry farm workers (n=15) were analyzed for E. coli and screened for virulence genes (stx1, stx2, eaeA, and hlyA) by multiplex PCR. Virulent E. coli was serotyped based on their “O” antigen and then genotyped using ERIC-PCR.
Results: A total of 134 E. coli isolates (122/150 from poultry and 12/15 from farm workers) were recovered. Virulence genes were detected in a total of 12 isolates. Serological typing of the 12 virulent E. coli revealed nine different serotypes (O2, O49, O60, O63, O83, O101, O120, UT, and Rough). ERIC-PCR genotyping allowed discrimination of 12 virulent E. coli isolates into 11 ERIC-PCR genotypes. The numerical index of discrimination was 0.999.
Conclusion: Our findings provide information about the wide genetic diversity and discrimination of virulent E. coli in apparently healthy poultry and poultry farm workers of Andhra Pradesh (India) based on their genotype.

Keywords

Escherichia coli, Enterobacterial Repetitive Intergenic Consensus-Polymerase Chain Reaction, Genotype, Poultry, Serotype, Virulent.

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M. Srivani ¹, Y. Narasimha Reddy ², K. V. Subramanyam ¹, M. Ramakoti Reddy ³, T. Srinivasa Rao ⁴

Affiliations
1 Department of Veterinary Microbiology, NTR College of Veterinary Science, Gannavaram, Krishna - 521 101, Andhra Pradesh, IN
2 Department of Veterinary Microbiology, College of Veterinary Science, Rajendranagar, Hyderabad, Telangana, IN
3 Directorate of Poultry Research, Rajendranagar, Hyderabad, Telangana, IN
4 Department of Veterinary Public Health, NTR College of Veterinary Science, Gannavaram, Andhra Pradesh, IN

Abstract

Aim: Aim of the study was to investigate the prevalence, virulence gene profiles, and antimicrobial resistance pattern of Shiga toxigenic Escherichia coli (STEC) in diarrheic buffalo calves from Andhra Pradesh and Telangana States.

Materials and Methods: A total of 375 fecal samples from diarrheic buffalo calves of 1-7, 8-30, 31-60, and 61-90 days age were collected from which STEC were isolated, and virulence genes were detected using multiplex polymerase chain reaction. The antimicrobial resistance of isolates was tested by disk diffusion method.

Results: The prevalence of E. coli associated diarrhea in buffalo calves was 85.04%, of which 35.01% was STEC origin. In STEC, the combination of eaeA and, hlyA virulence genes was highest (42.45%) followed by stx1 (16.04%), stx1, stx2 and hlyA (13.21%), stx2 (12.64%), stx1, eae and hlyA (9.43%) and stx1 and hlyA (6.6%) genes were detected. Highest antimicrobial resistance was observed for tetracycline (63.21%) and ampicillin (48.11%), while chloramphenicol, gentamycin (96.33%) and imipenem (99.06%) antibiotics are susceptible. Multidrug resistance was detected in 69.81% of the STEC isolates from diarrheic buffalo calves.

Conclusion: Higher prevalence of eaeA and hlyA genes carrying isolates of STEC may be a serious zoonotic threat and increased prevalence of multidrug resistance in E. coli may necessitate stringent selection of appropriate antimicrobial agent in treating buffalo calf diarrhea cases.

Keywords

Antimicrobial Resistance, Buffalo Calf Diarrheia, Shiga Toxigenic Escherichia coli, Virulence Genes.

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