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Bharathi, B.
- Incidence of Bacterial and Fungal Co-infections in some HIV Infected Indian Population
Abstract Views :456 |
PDF Views:108
Authors
Affiliations
1 Dept. of Microbiology, PRIST University, Thanjavur - 614 904, Tamil Nadu, IN
1 Dept. of Microbiology, PRIST University, Thanjavur - 614 904, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 3, No 2 (2010), Pagination: 199-203Abstract
HIV/AIDS continues to spread globally and remains a worldwide pandemic. In the present study, a total number of 100 biosamples were collected from the HIV positive patients attending the Social Welfare Organizations and HIV Counseling and Testing Centers of Teaching hospital of Trichy in India were enrolled and screened. Bacterial pneumonia and bacteremia occur at a higher frequency among HIV infected patients. Opportunistic infections (OI) are most common in immunocompromised patients which are the leading cause of death in HIV-infected patients. To create awareness among HIV patients for taking control or preventive measures against the opportunistic bacterial and fungal infections, an analysis was done in this present study. Appropriate use of antibiotics against these OI may be one of the strategies to extend the life span of the AIDS patients.Keywords
HIV, AIDS, Immunocompromised Patients, Opportunistic InfectionsFull Text
References
- AIDS Epidemic Update (2004) Joint United Nations Programme on HIV/AIDS (UNAIDS) and World Health Organization (WHO).
- Breton G, Adle-Biassette H, Therby A, Ramanoelina J, Choudat L and Bissuel F (2006) Immune reconstitution inflammatory syndrome in HIV-infected patients with disseminated histoplasmosis. AIDS. 20,
- -121. 3. Graden JD, Timpone JG and Schnittman SM (1992) Emergence of unusual opportunistic pathogenesis. AIDS- A review Clin. Infect. Dis. 15, 134-157.
- Omenaca C, Turett G, Yarrish R, Astiz M, Lin R and Kislak JW (1999) Bacteremia in HIV-infected patients: short-term predictors of mortality. J. Acq. Im. Def. Syn. 22, 155–160.
- Rolston KVI, Uribe-Botero G and Mansell PWA (1994) Bacterial infections in adult patients with AIDS and AIDS related complex. Am. J. Med. 83, 604-605.
- Viviani M, Cogliati M, Esposto M, Lemmer K, Tintelnot K and Valiente M (2006) Molecular analysis of 311 Cryptococcus neoformans isolates from a 30- month ECMM survey of cryptococcosis in Europe. FEMS Yeast Res. 614-619.
- Whelan C, Horsburgh CR, Horn D, Lahart C, Simberkoff M and Elmer J (1990) Accelerated course of human immuno deficiency virus infection after tuberculosis. Am. J. Respir. Critical Care Medical. 151(1),129.
- Whimbey E, Gold JWM and Polsky B (2005) Bacteremia and Fungemia in Patients with the acquired immunodeficiency syndrome. Ann. Intl. Med. 104, 511-514.
- Woitas RP, Rockstroh JK,Theisen A, Leutner C, Sauerbruch T and Spengler U (1998) Changing role of invasive aspergillosis in AIDS-a case control study. J. Infect. 37,116-122.
- Yang YL, Lo HJ, Hung CC and Li Y (2006) Effect of prolonged HAART on oral colonization with Histoplasma and candida. BMC Infect Dis. 20, 6-8.
- A Simple Method for Deriving LQN-models from Software-models Represented as UML Diagrams
Abstract Views :444 |
PDF Views:103
Authors
Affiliations
1 Sathyabama University, Chennai-119
2 National Institute of Technical Teacher's Training and Research (NITTTR), Chennai-113
1 Sathyabama University, Chennai-119
2 National Institute of Technical Teacher's Training and Research (NITTTR), Chennai-113
Source
Indian Journal of Science and Technology, Vol 5, No 2 (2012), Pagination: 2148-2154Abstract
The evaluation and performance analysis of software architecture at the design level increases the quality of the software and also reduces the cost of rework during the later stages of the product. The derivation of performance results of a software product, during the early stages of the software life cycle can be achieved by quantitatively evaluating the software performance model. There has been lot of research identifying the methods of evaluating software (Booch, 2001). The evaluation process starts by analyzing the performance model which is derived from the software model annotated with suitable usage profiles. This paper provides a simple approach to convert the software models represented as Unified Modeling Language (UML) diagrams using the profile for Schedulability, Performance and Time specifications (SPT) into Layered Queuing Network (LQN) performance models. The paper mainly illustrates the conversion process from UML to LQN, and also substantiates the method by a simple example.Keywords
Usage Profiles, Unified Modeling Language, Performance Model, Model Driven DevelopmentFull Text
References
- Bharathi B and Kulanthaivel G (2011) A tool for architectural design evaluations – a simplistic approach. Special issue of IJCA online, January 2011.
- Smith CU (1990) Performance engineering of software systems. Addison-Wesley. MA.
- Petriu DC and Shen H (2002) Applying the UML performance profile: Graph grammar based derivation of LQN models from UML specifications in Computer Performance Evaluation – modeling techniques and tools, LNCS Springer 2002. 2324,159-179.
- Doria C Petriu, Jinhua Zheng Go and Hui Shen (2003) Performance analysis based UML SPT profile.LNCS 2003, Vol 294/2003, 87-98.
- Gu GP and Petriu DC (2003) Early evaluation of software performance based on the UML performance profile. Proce. 13th Annual IBM Centers for Advanced Studies Conf., CASCON, Toronto,Canada. pp: 214-227.
- Grady Booch (2001) A guide to unified modeling language. Addison – Wesley.
- http:Object Management Group (2005) UML profile for schedulability. Performance & Time Version 1.1,2005.
- Kahkipuro P (2001) UML based performance modeling framework for component based distribution systems in R.Dumke et al., Performance Engg., LNCS, Springer 2001, 2047, 167-184.
- Lyod G Williams and Connie U Smith (2008) Performance evaluation of software architectures. Proce. First Int. Workshop on software & Performance WOSP'98.
- Muhammad Ali Babar and Ian Gorton (2004) Comparison of scenario based software architecture evaluation methods. Proce. 11th Asia pacific softwareEngg. Conf., APSEC'04.
- Socio - Economic Profiles of Bank Customers among Rural Communities : A Study in Chikkaballapur District
Abstract Views :272 |
PDF Views:0
Authors
Affiliations
1 Integrated Farming System Development Project, Hebbal Karnataka, IN
2 Department of Agricultural Marketing, Co-operation and Agribusiness Management, University of Agricultural Sciences (GKVK) Bangaluru Karnataka, IN
1 Integrated Farming System Development Project, Hebbal Karnataka, IN
2 Department of Agricultural Marketing, Co-operation and Agribusiness Management, University of Agricultural Sciences (GKVK) Bangaluru Karnataka, IN
Source
Agriculture Update, Vol 9, No 2 (2014), Pagination: 161-165Abstract
The study was conducted in the Chikkaballapur district of Karnataka to know the socio-economic status, utilization and perception of bank account holders. The study was conducted based on both primary and secondary data, the primary data were collected from 200 bank customers and secondary data were collected from different sources of information. The results indicated that the women account holders were very meagre and vast majority of the respondents were male. The respondents were not only young but also educated. More than twothird of respondents were pursuing agriculture as their main occupation in that majority of them was pursuing plantation crops. The membership in political parties was the single largest institutional participation.Keywords
Profile, Agricultural Banking, Customers, Services
- A Simple Method to Identify Requirement Changes for Improvement in Software Design
Abstract Views :154 |
PDF Views:2
Authors
Affiliations
1 Sathyabama University, Chennai, IN
2 Department of Electronics and Communication, NITTTR, Chennai, IN
1 Sathyabama University, Chennai, IN
2 Department of Electronics and Communication, NITTTR, Chennai, IN
Source
Software Engineering, Vol 3, No 4 (2011), Pagination: 158-161Abstract
The evaluation and performance analysis of software architecture at the design level increases the quality of the software and also reduces the cost of rework during the later stages of the product. There has been a lot of research in the area of software architecture and software design evaluations. When the design is to be improved based on the evaluation results, we lack in a feedback mechanism addressing the issues to be concentrated for design improvement. The paper aims at bringing out inter relationships among the various performance attributes, thereby identifying the specific changes that have to be brought about in design to satisfy customer requirements. The paper addresses a simple methodology using ranking and Karl Pearson method to find the critical areas to be updated for design improvements.Keywords
Karl Pearson Method, Performance Attributes, Software Design, Correlation Coefficients.- Need for Social Media Approach in Software Development
Abstract Views :164 |
PDF Views:0
Authors
Affiliations
1 Department of CSE, Sathyabama University, Chennai – 600119, Tamil Nadu, IN
1 Department of CSE, Sathyabama University, Chennai – 600119, Tamil Nadu, IN
Source
Indian Journal of Science and Technology, Vol 9, No 21 (2016), Pagination:Abstract
Objective: This paper discusses the need for social media approach in various software development processes to make it more collaborative which will result in increased productivity and better quality of software delivered. Methods/Analysis: To achieve more collaboration in software development, social interface methods are to be used. Usage of Social media methods like tagging, posting and commenting improves the communication among the team members. Findings: Software development typically is carried out by different teams working in different geographic locations and so the need for higher collaboration among teams is important for success of a project. Traditional ways of documenting the requirements, creating test cases, defect tracking have not been modified to leverage the enhanced connectivity that the current generation has. There is a need to create a new method to perform the software engineering tasks in a more interactive way. This will help in leveraging current social media techniques to implement the efficient practices from existing software development methodologies. Applications/Improvements: Collaborative platform can be used in software development, project management and also to evaluate the productivity and performance of a team member.Keywords
Collaborative Software Development, Software Development, SDLC using Social Media Techniques.Full Text
- An Examination of Influence of Higher Education Service Quality on Students’ Satisfaction:An Indian Perspective
Abstract Views :228 |
PDF Views:86
Authors
Affiliations
1 Department of Management Studies, Kongu Engineering College, Perundurai, Erode–638052, IN
2 Kongu Engineering College, Perundurai, Erode–638052, IN
1 Department of Management Studies, Kongu Engineering College, Perundurai, Erode–638052, IN
2 Kongu Engineering College, Perundurai, Erode–638052, IN
Source
Indira Management Review, Vol 10, No 2 (2016), Pagination: 95-102Abstract
The objective of the research is to understand the dimensions of higher education service quality. The scope of this study is confined only to the Tamil Nadu students' perception on higher education service quality. The researchers used questionnaire method for collecting data from the students and snowball sampling method has been administered. This study identified five important dimensions of higher education service quality. These are: curriculum aspects, infrastructure aspects, competency of faculty, academic activities and teaching methods. Furthermore, this study proved that student satisfaction is impacted by teaching methods, curriculum and competency of staff. The findings of the study would enable the policy makers to benchmark their services with other universities.Keywords
Curriculum, Infrastructure, Competency, Academic Activities, Teaching Methods.Full Text
References
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- A Novel Trust Negotiation Protocol for Analysing and Approving IoT Edge Computing Devices Using Machine Learning Algorithm
Abstract Views :162 |
PDF Views:1
Authors
Affiliations
1 Department of Computer Science Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai, Tamil Nadu,, IN
2 Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai, Tamil Nadu,, IN
1 Department of Computer Science Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai, Tamil Nadu,, IN
2 Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Jeppiaar Nagar, Chennai, Tamil Nadu,, IN
Source
International Journal of Computer Networks and Applications, Vol 9, No 6 (2022), Pagination: 712-723Abstract
In this paper, we come up with an effective approach for the management of security using machine learning, and we derive a solution for problems with privacy and security in Internet of Things devices. Recent apps' connections to numerous IoT devices, use of edge computing, and use of fog computing cause numerous DDoS attacks to be launched against the servers of the dynamic network. For computing on the edge of the Internet of Things, the upgraded Trust Negotiation Protocol is used, making use of better period data. The application of security management is used to maintain the automation, minimize the risk level, and reduce the complexity of the system. The fundamental objective of this system is to enable user-level security in all edge computing devices related to the Internet of Things. Using Machine Learning techniques, a proposed model is utilized to develop a secure environment for E2E IoT security at the user level. A low-cost solution is obtained using machine-learning-based security management techniques. The Enhanced Trust Negotiation Protocol is simulated, and the experiment results demonstrate that the suggested model is superior to the current one in terms of the efficiency with which security management approaches may be implemented.Keywords
Secured IoT, IoT Network, Security Algorithm, Trust Protocol, Edge Computing, MLA (Machine Learning Algorithm).Full Text
References
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