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RISS 인기검색어
- 검색키워드
- 저자 : S. P. Srinivas (검색결과 3 건)
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A New Methodology for Software Reliability based on Statistical Modeling
Avinash S,Y.Srinivas,P.Annan naidu International Journal of Computer ScienceNetwork S 2023 International journal of computer science and netw Vol.23 No.9
Reliability is one of the computable quality features of the software. To assess the reliability the software reliability growth models(SRGMS) are used at different test times based on statistical learning models. In all situations, Tradational time-based SRGMS may not be enough, and such models cannot recognize errors in small and medium sized applications.Numerous traditional reliability measures are used to test software errors during application development and testing. In the software testing and maintenance phase, however, new errors are taken into consideration in real time in order to decide the reliability estimate. In this article, we suggest using the Weibull model as a computational approach to eradicate the problem of software reliability modeling. In the suggested model, a new distribution model is suggested to improve the reliability estimation method. We compute the model developed and stabilize its efficiency with other popular software reliability growth models from the research publication. Our assessment results show that the proposed Model is worthier to S-shaped Yamada, Generalized Poisson, NHPP.
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Water based nanofluids for automotive applications
V. Srinivas,CH. V. K. N. S. N. Moorthy,V. Dedeepya,P. A. Thompson 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.8
This paper presents a recent work on enhanced heat transfer properties of carboxylated water based nanofluids and their corrosive behaviorfor suitability to automotive conditions. Water mixed with Sebacic acid as carboxylate additive is dispersed with multi-walledcarbon nanotubes and tested for corrosion and heat transfer characteristics. Corrosion studies made as per ASTM D 1384 show that carboxylatedwater dispersed with CNTs is resistant to corrosion and hence suitable for automotive environment. In addition to CNTs, carboxylatedwater dispersed with nano sized silver, copper and Al2O3 was also tested for corrosion performance but found to be givingconsiderable corrosion in automotive environment. The stability of CNT based nanofluids in terms of zeta potential is found to be goodwith carboxylated water compared to deionized water. Significant improvement is observed in the thermal conductivity of nanofluidsdispersed with CNTs. The carboxylated water dispersed with very low mass concentration of carbon nano tubes was tested for heat transferperformance in Reynolds number range of 2500 to 6000. The inside overall heat transfer coefficient and overall heat transfer coefficientimproved markedly. Also, the velocity of air and flow rate of coolant play an important role in enhancement of the overall heattransfer coefficient. The effect of enhancement of overall heat transfer coefficient on the surface area of heat exchanger and pumpingpower is found to be significant.
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Current trends and challenges in cancer management and therapy using designer nanomaterials
Hemant Kumar Daima,Vincent M. Rotello,Suresh Kumar Bhargava,S. P. Srinivas,Anubhav Kaphle,P. N. Navya 나노기술연구협의회 2019 Nano Convergence Vol.6 No.23
Nanotechnology has the potential to circumvent several drawbacks of conventional therapeutic formulations. In fact, significant strides have been made towards the application of engineered nanomaterials for the treatment of cancer with high specificity, sensitivity and efficacy. Tailor-made nanomaterials functionalized with specific ligands can target cancer cells in a predictable manner and deliver encapsulated payloads effectively. Moreover, nanomaterials can also be designed for increased drug loading, improved half-life in the body, controlled release, and selective distribution by modifying their composition, size, morphology, and surface chemistry. To date, polymeric nanomaterials, metallic nanoparticles, carbon-based materials, liposomes, and dendrimers have been developed as smart drug delivery systems for cancer treatment, demonstrating enhanced pharmacokinetic and pharmacodynamic profiles over conventional
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