2,628 research outputs found
Analytical Solution for Static and Dynamic Analysis of Graphene-Based Hybrid Flexoelectric Nanostructures
No full textOwing to their applications in devices such as in electromechanical sensors, actuators and nanogenerators, the consideration of size-dependent properties in the electromechanical response of composites is of great importance. In this study, a closed-form solution based on the linear piezoelectricity, Kirchhoff’s plate theory and Navier’s solution was developed, to envisage the electromechanical behaviors of hybrid graphene-reinforced piezoelectric composite (GRPC) plates, considering the flexoelectric effect. The governing equations and respective boundary conditions were obtained, using Hamilton’s variational principle for achieving static deflection and resonant frequency. Moreover, the different parameters considering aspect ratio, thickness of plate, different loadings (inline, point, uniformly distributed load (UDL), uniformly varying load (UVL)), the combination of different volume fraction of graphene and piezoelectric lead zirconate titanate are considered to attain the desired bending deflection and frequency response of GRPC. Different mode shapes and flexoelectric coefficients are also considered and the results reveal that the proper addition of graphene percentage and flexoelectric effect on the static and dynamic responses of GRPC plate is substantial. The obtained results expose that the flexoelectric effect on the piezoelastic response of the bending of nanocomposite plates are worth paying attention to, in order to develop a nanoelectromechanical system (NEMS). Our fundamental study sheds the possibility of evolving lightweight and high-performance NEMS applications over the existing piezoelectric materials.</p
Electromechanical response of partial nano unimorph beams considering surface and flexoelectric effects
No full textNot Available
No full textN Kapila, A Kishor, M Sodhi, A Sharma, AK Mohanty, P Kumar and M Mukesh (2013) Temporal changes in mRNA expression of heat shock protein genes in mammary epithelial cells of riverine buffalo in response to heat stress in vitro. International Journal of Animal Biotechnology 3 : 5 - 9.Not AvailableNot Availabl
Does India need national child mortality surveillance project to reduce child mortality? An opportunity from National Polio Surveillance Project (NPSP)
No full textIn 2015, India had 20 percent share of global under-five deaths (1.2 million), highest number of deaths in the world. In the era of Sustainable Development Goal (SDG), to accomplish goal 3, target 3.2 to reduce child mortality to 25 per 1,000 live births, India needs to accelerate to achieve the same. India was taken off from the list of polio endemic countries by World Health Organization in February 2012. In 1997 the National Polio Surveillance Project (NPSP) was established as a joint partnership between the World Health Organization and the Ministry of Health and Family Welfare (MoHFW), Government of India. As in Polio eradication program interaction between the health care providers and Surveillance Medical Officer (SMO), had provided the foundation for successful Acute Flaccid Paralysis (AFP) surveillance, same opportunity can be used for every child death. Each child death reported by reporting unit (RU) needs to be investigated in case investigation form (CIF) and the factors related to continuum of care for maternal, newborn and child health whichever responsible for child death needs to be identified for action. Another aim of this project will be to capture each and every child death occurring in the district and identifying the high risk blocks and accordingly training of health workers and private practitioner can be undertaken for capacity building. The feedback of factors identified for child death can be given to health officers of concerned district and same can be discussed in District Task Force meeting, so appropriate corrective action is initiated; also same can be reviewed at regional, state and national level meetings. National Child Mortality Surveillance Project can take the advantage of network of SMO already available with NPSP along with training modules and forms
Uncertainty propagation through software dependability models
No full textSystems in critical applications employ various hardware and software fault-tolerance techniques to ensure high dependability. Stochastic models are often used to analyze the dependability of these systems and assess the effectiveness of the fault-tolerance techniques employed. Measures like performance and performability of systems are also analyzed using stochastic models. These models take into account randomness in various events in the system (known as aleatory uncertainty) and are solved at fixed parameter values to obtain the measures of interest. However, in real life, the parameters of the stochastic models themselves are uncertain as they are derived from a finite (limited) number of observations or are simply based on expert opinions. Solving the stochastic models at fixed values of the model input parameters result in estimates of model output metrics which do not take into account the uncertainty in model input parameters (known as epistemic uncertainty). In this research work, we address the computation of uncertainty in output metrics of stochastic models due to epistemic uncertainty in model input parameters, with a focus on dependability and performance models of current computer and communication systems. We develop an approach for propagation of epistemic uncertainty in input parameters through stochastic dependability and performance models of varying complexity, to compute the uncertainty in the model output measures. The uncertainty propagation method can be applied to a wide range of stochastic model types with different model output measures. For simple analytic stochastic dependability models, we present a closed-form analytic method for epistemic uncertainty propagation, where we derive closed-form expressions for the expectation, distribution and variance of the model output metrics due to the epistemic uncertainty in the model input parameters. We analyze the results thus obtained and study their limiting behavior. For slightly more complex analytic stochastic models, where the closed-form expressions for the expectation, distribution and variance of the model output cannot be easily obtained, we present a numerical integration based method. For large and complex stochastic models, we develop a sampling based epistemic uncertainty propagation method which also considers dependencies in the input parameter values and is an improvement over previous sampling based uncertainty propagation approaches. The sampling based epistemic uncertainty propagation method explained in this dissertation acts as a wrapper to existing models and their solution types (hence the wide applicability) and provides more robust estimates of uncertainty in the model output metrics than previous sampling based methods. We demonstrate the applicability of the uncertainty propagation approach by applying it to analytic stochastic dependability and performance models of computer systems, ranging from simple non-state-space models with a few input parameters to large state-space models and even hierarchical models with more than fifty input parameters. We further apply the uncertainty propagation approach to stochastic models with not only analytic or analytic-numeric solutions but also those with simulative solutions. We also consider a wide range of model output metrics including reliability and availability of computer systems, response time of a web service, capacity oriented availability of a communication system, security (probability ofsuccessful attack) of a network routing session, expected number of jobs in a queueing system with breakdown and repair of servers and call handoff probability of a cellular wireless communication cell
PIL893387 Supplemental Material - Supplemental material for Phase, microstructure, and wear behavior of Al<sub>2</sub>O<sub>3</sub>-reinforced Fe–Si alloy-based metal matrix nanocomposites
No full textSupplemental material, PIL893387 Supplemental Material for Phase, microstructure, and wear behavior of Al2O3-reinforced Fe–Si alloy-based metal matrix nanocomposites by Akash Saxena, Neera Singh, Bhupendra Singh, Devendra Kumar, Kishor Kumar Sadasivuni and Pallav Gupta in Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications</p
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No full textA Kishor, M Sodhi. P Kumari, AK Mohanty, DK Sadana, N Kapila, K Khate, U Shandilya, RS Kataria and M Mukesh (2013) Peripheral blood mononuclear cells: a potential cellular system to understand differential heat shock response across native cattle (Bos indicus), exotic cattle (Bos taurus), and riverine buffaloes (Bubalus bubalis) of India. Cell Stress and Chaperones : DOI: - 10 1007/s12192-013-0486-z..Not AvailableNot Availabl
Social Cooperation in Autonomous Agents to Avoid the Tragedy of the Commons
No full textIn this paper, we address the “Tragedy of the Commons” (TOC) problem for shared-resource systems by considering different types of behaviors of agents. On one extreme are self-interested agents while on the other one, agents are concerned about the welfare of the society. Algorithms to capture the different behaviors of the agents with and without interaction among the agents are proposed. An extensive experimental analysis for the different cases has been carried out as well as comparisons of our algorithms with an existing approach. Our study shows that if the agents are willing to sacrifice for some period of time, the sustainability of the society increases considerably.</p
Wald_et_al_2019_Spectra.2PAGER.Supplemental.Spreadsheet – Supplemental material for A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems
No full textSupplemental material, Wald_et_al_2019_Spectra.2PAGER.Supplemental.Spreadsheet for A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems by David J Wald, Hope A Seligson, Jesse Rozelle, Jordan Burns, Kristin Marano, Kishor S Jaiswal, Michael Hearne and Douglas Bausch in Earthquake Spectra</p
Facilitators of Public E-Procurement:Lessons Learned from the U.K., U.S., and Australian Initiatives
No full textThis chapter presents the results of a literature survey developed to support a proposed model of the facilitators likely to impact the success of electronic procurement (E-procurement) initiatives in the public sector. It identifies a number of relevant variables for facilitator and presents a proposition for future research. The chapter analyzes the relative importance of different facilitators and argues that organization and management factors are the most important category for success of E-procurement initiatives. It discusses the background, requirements, and the barriers to E-procurement implementation in the public sector. The chapter provides an analysis of the relative importance of the facilitators and focuses on the differences and similarities of E-procurement projects compared with traditional information technology projects in the public sector. It examines a number of specialized reports on E-procurement initiatives in the UK, US, and Australian public sectors readily available to practitioners and decision makers.</p
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