Vignan University

About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Control theory & CMOS. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.

Optimal irrigation planning model for an existing storage based irrigation system in India

Abstract: A weekly irrigation planning LP model is formulated for determining the optimal cropping pattern and reservoir water allocation for an existing storage based irrigation system in India. Objective of the model is maximization of net annual benefit from the project. In an irrigation planning of a storage based irrigation system, initial storage of the reservoir at the beginning of the reservoir operation, expected inflows into the reservoir during each intraseasonal period, capacity of channels, crop calendar and yield response to water deficit in each growth stage of crop play a vital role in deciding acreage and water allocation to each crop. The planning model takes into account yield response to water deficit in each intraseasonal period of the crop, expected weekly inflows entering into the reservoir, storage continuity of reservoir, land and water availability, equity of water allocation among sub areas and proportionate downstream river release. One year comprising of 52 weeks is considered as planning horizon. To account for uncertainty in water resources availability, the model is solved for four levels of reliability of weekly inflows entering into the reservoir (90%, 85%, 80% and 75%). Alternative optimal cropping patterns and weekly releases to crops grown in each sub area under each main canal are obtained for various states of initial storage at the beginning of reservoir operation and for various levels of weekly inflows into the reservoir. Results reveal the importance of initial state of reservoir storage for feasible solution and shows the impact on cropping pattern with the change in initial storage of reservoir for different levels of reliability of weekly inflows.

Optimized Energy Efficient Routing Protocol for life-time improvement in Wireless Sensor Networks

Abstract: This paper presents a new routing protocol named OEERP (Optimized Energy Efficient Routing Protocol), that improves the life time of Wireless Sensor Network (WSN). It is a cluster based protocol in which the node that acts as cluster-head is changed in every time slot. This approach improves the lifetime of the WSN for two reasons mainly. The first reason is the uniform battery drain of the nodes and the second reason is that no node depends on beacon based transmissions for long time to reach the access point. Information sensing and performing data aggregation are also carried out in such a way to reduce the number of transmitted messages to the access point. This protocol can be used for any periodic monitoring applications using WSN. The network simulator (NS-2), which provides support for simulation of wireless networks, is used to simulate the OEERP based wireless sensor network.

Experimental investigation of strength, durability, and microstructure of red-mud concrete

Abstract: Recent trends in the construction industry involve the use of industrial by-products as building materials to improve waste management and reduce excessive CO2 emissions from the cement industry. Red mud (RM) is a by-product of alumina refinery plants. When improperly disposed, red mud harms the surrounding area, owing to its highly alkaline nature. In the current work, up to 15% of the cement in concrete was replaced with red mud, in increments of 2.5%. In addition, to enhance the pozzolanic reaction, metakaolin was used as a ternary mineral; it replaces 10% of the cement. A slump cone test was conducted to evaluate the workability. Compressive, flexural, and split tensile strength tests were conducted to observe the mechanical properties. A rapid chloride penetration test and water absorption tests were conducted to determine the durability properties of the concrete. X-ray fluorescence analysis was conducted to determine the chemical composition of both the red mud and the metakaolin. A scanning electron microscope analysis was conducted to characterize the microstructure of the RM concrete. The 12.5% red-mud replacement mix showed the greatest improvement in mechanical properties among all the mixes. As the red-mud replacement increased, the chloride-ion passage was reduced. Moreover, a denser microstructure formation was observed with the red-mud replacement, as compared to standard concrete.

Fractional-Grey Wolf optimizer-based kernel weighted regression model for multi-view face video super resolution

Abstract: Due to the advancement of the intelligent surveillance system in recent days, security and protection cameras are installed even in small shops, but the qualities of the image captured by surveillance cameras are low. The technique used for reconstruction of the high-resolution images from observed low-resolution image is called as super-resolution techniques. In order to alleviate the resolution problem and to provide desired information, fractional-Grey Wolf optimizer-based kernel weighted regression model is developed in this paper for multi-view face video super-resolution. Here, a new optimal kernel weight matrix for the interpolation of the super-resolution image is generated using the proposed FGWO algorithm, which is newly developed by integrating the GWO with fractional calculus. The experimentation of the proposed system is carried over UCSD face video databases, and the performance results are analyzed using SDME, PSNR, and SSIM with various existing techniques. The experimental results demonstrated that the proposed method improved the performance of super-resolution by achieving the maximum PSNR, SSIM and SDME value of 49.5909, 0.99 and 87.51 dB.

High Capacity Electrospun MgFe2O4–C Composite Nanofibers as an Anode Material for Lithium Ion Batteries

Abstract: MgFe2O4-C composite nanofibers were prepared via electrospinning technique followed by carbonization at 600 °C. Thermogravimetric-differential thermal analysis (TG-DTA) results showed ignition, decomposition and carbonization temperatures of the as-grown fibers. Formation of the nanocrystalline phase of the MgFe2O4 over the amorphous phase of the carbon fibers sample was confirmed from the analysis of the measured XRD results. FE-SEM images of the as-spun and calcined fibers sample showed that the formation of one dimensional (1-D) MgFe2O4-C composite nanofibers and the formed 1-D nanofibers were well interconnected with high porous structured morphology. The electrochemical properties of the MgFe2O4-C composite nanofibers sample were tested as an anode material for lithium-ion battery. Lithium-ion battery made up of the newly developed MgFe2O4-C composite nanofibers sample, used as an anode material, showed discharge capacity of 575 mAh g−1 at a current density of 100 mA g−1 after 20th cycles. Further, the discharge capacity of the lithium-ion battery also measured at a high current density of 1 A g−1 and it was found to be 433 mAh g−1 even after 85 cycles. Also, the lithium-ion battery showed exceptional reversible capacity with the coulombic efficiency of 99.6% even after 85 cycles at a high current density of 1 A g−1. Hence the electrochemical properties suggest that the newly developed MgFe2O4-C composite nanofibers can be used as high capacity anode materials for lithium-ion batteries.