National Institute of Technology, Meghalaya

About: National Institute of Technology, Meghalaya is a education organization based out in Shillong, India. It is known for research contribution in the topics: Control theory & Computer science. The organization has 503 authors who have published 1062 publications receiving 6818 citations. The organization is also known as: NIT Meghalaya & NITM.

Dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection.

Abstract: Most of the widely populated countries across the globe have been observing vicious spread and detrimental effects of pandemic COVID-19 since its inception on December 19. Therefore to restrict the spreading of pandemic COVID-19, various researches are going on in both medical and administrative sectors. The focus has been given in this research keeping an administrative point of view in mind. In this paper a dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection has been proposed. Few factors related to intra zone mobilization; inter zone mobilization and rate of detection are the key points in the proposed model. Various remedial steps are taken into consideration in the form of operating procedures. Further such operating procedures are applied over the model in standalone or hybridized mode and responses are reported in this paper in a case-studies manner. Further zone-wise increase in infected population due to the spreading of pandemic COVID-19 has been studied and reported in this paper. Also the proposed model has been applied over the real world data considering three states of India and the predicted responses are compared with real data and reported with bar chart representation in this paper.

Simultaneous Solving of Batched Linear Programs on a GPU

Abstract: Linear Programs (LPs) appear in a large number of applications and offloading them to a GPU is viable to gain performance. Existing work on offloading and solving an LP on a GPU suggests that there is performance gain generally on large sized LPs (typically 500 constraints, 500 variables and above). In order to gain performance from a GPU, for applications involving small to medium sized LPs, we propose batched solving of a large number of LPs in parallel. In this paper, we present the design and implementation of a batched LP solver in CUDA, keeping memory coalescent access, low CPU-GPU memory transfer latency and load balancing as the goals. The performance of the batched LP solver is compared against sequential solving in the CPU using the open source solver GLPK (GNU Linear Programming Kit) and the CPLEX solver from IBM. The evaluation on selected LP benchmarks from the Netlib repository displays a maximum speed-up of 95x and 5x with respect to CPLEX and GLPK solver respectively, for a batch of 1e5 LPs. We demonstrate the application of our batched LP solver to enhance performance in the domain of state-space exploration of mathematical models of control systems design.

Milling Behavior of Injection Molded Short Fiber-Reinforced Green Composites

Abstract: Milling is a machining operation which is widely and frequently used to produce surface profile by removing excess material with the help of milling cutter. However, milling of fiber-reinforced green composites is quite challenging due to its anisotropic and heterogeneous characteristics. This chapter present and discuss the milling behavior of developed short fiber-reinforced green composites. The biodegradable polymer namely poly(lactic) acid has been reinforced with short natural fiber to fabricate the green composites using the direct injection molding technique. The effect of milling process parameters such as depth of cut, feed rate, and spindle on the performance parameters such as induced forces, temperature, surface roughness, and burr height have been studied by performing response surface methodology (RSM). The milling operations have been carried out using an end mill cutter of 6 mm in diameter. The relative significance of the process parameters has also been studied by performing analysis of variance (ANOVA). The three-dimensional surface plots and two-dimensional contour plots have been constructed to understand the mutual effect of process parameters on the responses. The optimization of process parameters has been also carried out for obtaining better milled surface in the developed composites.

Uptake, Transport, and Remediation of Strontium

Abstract: Strontium abundantly occurs in nature in the rocks and soils in the form of sulfate and carbonate minerals, i.e., celestite (SrSO4) and strontianite (SrCO3), in nonradioactive and nontoxic forms. However, a small amount of strontium as radioactive 90Sr has been contributed to the geo-environment by the anthropogenic activities of nuclear testing and fission reactions. The contamination caused by the radioactive by-products of such activities poses major concerns due to its ease of entry into the ecosystem. The 90Sr has a prolonged half-life of 28.9 years and can progressively enter into the geo-environment and also the life cycle of organisms living in close proximity to such contaminated sites. The mobility of 90Sr migration in the geo-environment is often favored due to its similarity to calcium ions but can be retarded through the strong interactions with soil organic materials, clay minerals, and other oxides present in the environment. Owing to the severity of radioactive Sr contamination, this chapter thus deals with the various pathways of strontium dispersal into the geo-environment. Additionally, for the contaminated sites, studies on sorption-desorption behavior for selection of suitable remediation technology are deliberated herein. This chapter also explores the extent to which phytoremediation, an in situ modification, can be used to reclaim soils contaminated with 90Sr.

Numerical Investigation on Triangular Fin-Based Solar Air Heater

Abstract: The thermal performance of a solar air heater is low mainly because of lower heat transfer coefficient between the absorber plate and the flowing air which results in low thermal efficiency. In this paper, effort is made to increase the net heat output of the solar air heater by providing triangular fins. Numerical investigation is carried out to investigate the heat transfer and fluid flow characteristics for a fully developed turbulent flow through a triangular fin-based solar air heater. The finite volume CFD analysis code ANSYS Fluent 17.1 is used to simulate the turbulent flow governing equations. The effect of varying Reynolds number and fin height (h) on dimensionless performance parameters of a solar air heater is observed and compared with other research works. Seven different design configurations (h = 0.93845–16.104 mm) are considered. Mass flow rate ranging from 0.001 to 0.011 kg/s is considered for investigation. Renormalization group (RNG) k-e turbulence model is found to have a good agreement, and accordingly, this model is used for further analysis.