A5081690937- Bacterial Genetics and Biotechnology
- Cloud Computing and Resource Management
- Cloud Data Security Solutions
- Antibiotic Resistance in Bacteria
- IoT and Edge/Fog Computing
- Advanced Malware Detection Techniques
- Public Relations and Crisis Communication
- Network Security and Intrusion Detection
- Quantum Computing Algorithms and Architecture
- Disaster Management and Resilience
- Traffic Prediction and Management Techniques
- Information and Cyber Security
- Internet Traffic Analysis and Secure E-voting
- Blockchain Technology Applications and Security
- Bacterial biofilms and quorum sensing
- Online Learning and Analytics
- Bacillus and Francisella bacterial research
- RNA and protein synthesis mechanisms
- Vehicular Ad Hoc Networks (VANETs)
- Antimicrobial Peptides and Activities
- Climate Change Communication and Perception
- Anomaly Detection Techniques and Applications
- Plant Micronutrient Interactions and Effects
- Autonomous Vehicle Technology and Safety
- AI in cancer detection
Cleveland State University
2020-2025
Jawaharlal Institute of Post Graduate Medical Education and Research
2024
Christian Medical College, Vellore
2018-2022
Eötvös Loránd University
2021
Coastal Carolina University
2014-2019
Conway School of Landscape Design
2014-2019
Hebrew University of Jerusalem
2011-2018
Christian Medical College
2018
Vellore Institute of Technology University
2012-2014
Indian Institute of Science Bangalore
1960-2013
Internet of Things (IoT) is an enabler for the intelligence appended to many central features modern world, such as hospitals, cities, grids, organizations, and buildings. The security privacy are some major issues that prevent wide adoption Things. In this paper, with example scenarios, we presenting review attacks from perspective layers comprises IoT. addition, a methods provide solutions these presented along their limitations. To overcome limitations, have provided future work...
The large-scale utilization of cloud computing services for hosting industrial/enterprise applications has led to the emergence service reliability as an important issue both providers and users. To enhance reliability, two types fault tolerance schemes, reactive proactive, have been proposed. Existing schemes rarely consider problem coordination among multiple virtual machines (VMs) that jointly complete a parallel application. Without VM coordination, application execution results will be...
As communication and sensing capabilities of mobile devices increase, applications are becoming increasingly complex. The ability computation offloading, which is one the main features edge computing gains relevance as a technique to improve battery lifetime increase performance applications. In this paper, we describe offloading system model present an innovative architecture, called "MVR", contributing in computing.
The concept of containerization and virtualization is getting traction in the cloud based IT environments. Docker engine popular implementation for simplifying streamlining technology. industry realizes numerous automation acceleration features facilities through embracement Docker-sponsored paradigm, which an operating system (OS)-level lightweight virtualization. However security issues affect widespread confident usage platform. In this paper, we have discussed important containers as...
Background: Smartphone addiction among young adults is a growing concern that often underestimated despite its significant health hazards. The objective of this study was to assess the extent smartphone and association with physical activity level, anthropometric indices, quality sleep in adults. Material Methods: This cross-sectional conducted 138 allied sciences undergraduates tertiary care medical school Puducherry, South India. participants’ addiction, activity, were assessed using...
A variety of indicators is commonly used to monitor antibiotic prescriptions as part national antimicrobial stewardship (AMS) programmes.To make an inventory that assess and are linked specific targets incentives, at a level.A cross-sectional survey (three-item questionnaire) was conducted in 2017 among all ESGAP (ESCMID Study Group for Antimicrobial stewardshiP) members, coming from 23 European countries 16 non-European countries.Almost (20/23, 87%) belonging the network participated, well...
ABSTRACT Escherichia coli mazEF is a toxin-antitoxin stress-induced module mediating cell death. It requires the quorum-sensing signal (QS) "extracellular death factor" (EDF), penta-peptide NNWNN (EcEDF), enhancing endoribonucleolytic activity of E. toxin MazF. Here we discovered that mazEF-mediated could be triggered by QS peptides from supernatants (SN) Gram-positive bacterium Bacillus subtilis and Gram-negative Pseudomonas aeruginosa. In SN B. subtilis, found one EDF, hexapeptide RGQQNE,...
Traffic prediction is critical to expanding a smart city and country because it improves urban planning traffic management. This very challenging due the multifactorial random nature of traffic. study presented method based on ensemble learning predict congestion weather criteria. We used NAS algorithm, which in output heuristic methods creates an optimal model concerning input data. had 400 data, included characteristics day’s weather, including six features: absolute humidity, dew point,...
The anti-tubercular drugs are less effective because of the emergence multi-drug resistant (MDR) and extensively drug (XDR) strains M. tuberculosis, so plants being an alternative source anti-microbial compounds. aim this study was to investigate anti-tuberculosis potential using Mycobacterium smegmatis as a rapid screening model for detection anti-mycobacterial activity further evaluate active against tuberculosis radiometric BACTEC assay.The 15 were screened by disk diffusion assay....
To investigate the antibacterial activity of marine actinobacteria against multidrug resistance Staphylococcus aureus (MDRSA).Fifty one actinobacterial strains were isolated from salt pans soil, costal area in Kothapattanam, Ongole, Andhra Pradesh. Primary screening was done using cross-streak method MDRSA. The bioactive compounds are extracted efficient solvent extraction. antimicrobial crude and extracts performed Kirby-Bauer method. MIC for ethyl acetate extract determined by modified...
3D face reconstruction is considered to be a useful computer vision tool, though it difficult build. This paper proposes method, which easy implement and computationally efficient. It takes single 2D image as input, gives reconstructed images output. Our method primarily consists of three main steps: feature extraction, depth calculation, creation from the processed using Basel model (BFM). First, features are extracted two-step process. Before distinctive-features must detected confirm...
Research Article| May 01 1960 Studies on flavinadenine dinucleotide-synthesizing enzyme in plants K. V. Giri; Giri * 1Department of Biochemistry, Indian Institute Science, Bangalore 12, India Search for other works by this author on: This Site PubMed Google Scholar N. Appaji Rao; Rao H. R. Cama; Cama S. A. Kumar Author and article information Publisher: Portland Press Ltd © CAMBRIDGE UNIVERSITY PRESS1960 Biochem J (1960) 75 (2): 381–386. https://doi.org/10.1042/bj0750381 Views Icon Article...
Sheep fostering is an increasing trend due to the huge demand for sheep wool, milk and mutton meat throughout world. The export market value in Australia alone approx. USD 5.23 billion. While wool worldwide was estimated 35 billion at end of 2019 it predicted reach 46.07 by 2025. Different breeds have distinct characteristics like Merino costlier than most varieties available market. Therefore, becomes important identify breed recognize higher characteristic corresponding sheep. This indeed...
This study proposes a GPA for designing optimal Quantum Sensor Circuits (QSCs) to address complex quantum physics problems. The consists of two parts: the Policy Evaluation (QPE) and Improvement (QPI). QPE performs phase estimation generate search space, while QPI utilizes Grover amplitude amplification techniques efficiently identify an policy that generates QSCs. QSCs by selecting sequences gates maximize Fisher Information (QFI) minimizing number gates. generated are capable producing...
In this paper, we present our Machine Learning (ML) based big data analytics framework that tested to improve the quality and performance of Auxiliary Power Units (APU) health monitoring services. We are motivated develop apply practical useful technologies for industrial applications in aerospace aviation. Key contributions work include development use ML algorithms have been used analyze multiple sources provide insights increase ability predict (1) APU wear from 39%to 56% (2) shutdown...
In this paper, we present a vulnerability assessment framework that could be used to assess and prevent cyber threats related wired wireless networks computer systems. We have performed tests for aviation systems including data loaders in order meet industry requirements network security. Our contributions include detecting vulnerabilities these by using penetration testing tools such as Metasploit Pro BackTrack improving security safety of aircraft. Based on our test results...