Jaypee Institute of Information Technology

About: Jaypee Institute of Information Technology is a education organization based out in Noida, Uttar Pradesh, India. It is known for research contribution in the topics: Cluster analysis & Wireless sensor network. The organization has 2136 authors who have published 3435 publications receiving 31458 citations. The organization is also known as: JIIT Noida.

SEU MITIGATION-using 1/3 rate convolution coding

Abstract: With the new emerging fabrication technology there has been scaling of components size, leading to reduction in the physical size of devices. This increases the frequency of radiation induced temporary faults also called soft errors, which corrupts the content of the memory system. This paper proposes a new technique to protect the data from these soft errors which occurs in form of bit flips in the memory. The technique introduced is based on simple convolution codes and is proven to give good performance.

Green Supply Chain Management Initiatives by IT Companies in India

Abstract: Green Supply Chain Management (GrSCM), which integrates environmental thinking right from conceptualization and management of production, distribution and consumption to end-of-life management of the product, has become a growing concern for Indian industries. One of the most polluting industries, the Information Technology (IT) is generating alarming magnitude of e-waste which involves social and environmental hazards. This research paper uses the case study approach to explore the green initiatives followed by the three major Indian IT companies to manage their supply chain. The study summarizes the steps taken by these companies with respect to green manufacturing, green procurement, green packaging, recycling and e-waste management, that have helped them to make their supply chains more costefficient as well as environment-friendly. These green initiatives by the companies also distinguish them from their competitors and help them to improve their brand image. The paper also identifies some of the major challenges to the effective implementation of rules by the government and desired outcome of the green initiatives.

Target K-coverage problem in wireless sensor networks

Abstract: Wireless sensor network (WSN) is collection of various sensors placed according to the application requirement to accomplish quality of service (QOS) that is how fine the sensors are covering or mo...

Algorithms for solving fuzzy transportation problem

Abstract: The objective of this paper is a wide survey of recent optimisation techniques in the field of fuzzy transportation problems. The authors have reviewed papers on various techniques to solve fuzzy transportation problems. We have considered the algorithms discussed in research papers within the last decade so as to know the present scenario. A comparative study of methods with own critical comments as remarks has been included.

MHD natural convection in inclined wavy annulus utilizing hybrid nanofluid with discrete wavy coolers

Abstract: In the present framework, the combined effect of magnetic field (Hartmann number, Ha), angle of inclination $$(\alpha )$$ , nanoparticle volume fraction $$(\chi )$$ , number of oscillations (N) and aspect ratio (AR) is investigated for natural convective heat transfer analysis containing hybrid nanofluid suspension ( $$\hbox {Al}_2\hbox {O}_3$$ and Cu) in wavy annulus having circular heater in the center and discrete coolers on the wavy walls. The homogeneous hybrid nanoliquid (0.1% of $$\hbox {Al}_2\hbox {O}_3{-}\hbox {Cu}/\hbox {water}$$ ) model with fitted correlations of viscosity and thermal conductivity from the experimental data is used, and results are evaluated for different ranges of controlling parameters: Rayleigh numbers ( $$\hbox {Ra}=10^3$$ – $$10^6$$ ), Hartmann number (Ha $$=$$ 0–50), aspect ratio (AR (D/H) = 0.2–0.6), number of oscillations or undulation parameter ( $$N=2$$ –8) with fixed amplitude ( $$a\,=\,0.02$$ ), angle of inclination ( $$\alpha =0{^{\circ }}$$ – $$135{^{\circ }}$$ ) and nanoparticle volume fraction ( $$\chi =0$$ –0.02) using Galerkin finite element method (GFEM) with triangular mesh. The mesh grid independency test has been conducted with different meshes (degree of freedoms), and a refined mesh with domain elements $$=$$ 21,662, boundary elements $$=$$ 884 and degree of freedoms (DOFs) $$=$$ 179,703 has been selected for entire computations. The average Nusselt number is evaluated as a function of Ra, $$\alpha$$ and N for different parametric ranges of $$\chi$$ , Ha and AR, respectively. The average heat transfer follows as zigzag pattern with increment in waviness (undulation parameter), and it has a minimum value for inclination angle $$=\pi /2$$ . With high Rayleigh number ( $$\hbox {Ra}>10^5$$ ), the average Nusselt number shows opposite trend with hybrid nanoparticle concentration. This type of research can be used in the design of an appropriate nanofluid-based cooling system for electronic components to ensure effective operational conditions.