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.

Eaack eids for Manet Using Digital Signature

Abstract: In the past few decades the migration to wireless network from wired network has been a global trend. The functionality and features of MANET and the wireless medium also distribution of nodes makes MANET vulnerable to malicious attackers.

Novel Techniques of Synthesis of Nanocellulose from Sugarcane Bagasse and Its Applications in Dye Removal

Abstract: Agricultural wastes requires it’s utilization by the use of novel techniques. Lignocellulosic materials present in them could be utilized for various purposes. Nanocellulose could be synthesized from it. In this study, nanocellulose fibres from sugarcane bagasse were synthesized using sustainable methods and were ascertained by using microscopic techniques (scanning electron microscopy and transmission electron microscopy). The nanocellulose thus obtained was used in removing azo dye blue from water. Batch adsorption studies were conducted obtaining a removal efficiency of 75% dye removal in 2 h. Adsorption of dye molecules on the nanocellulose fibres were further visualized under scanning electron microscopy. Thus, agricultural wastes are renewable resources which could be utilized in removal of hazardous dyes from waste waters.

Characteristic and Equilibrium Adsorption Studies of Biochar

Abstract: In this chapter, response to the elimination from their water flows of carbofuran was checked by the dried capsicum annuam biochar (CABC). Char at 300 °C is produced from capsicum annuam stem to eradicate carbofuran from the watershed system. Capsicum annuam (CA) and capsicum annuam biochar (CABC) were tested for their physicochemical characteristics. The experiments were performed for different carbofuran concentrations, with varying CABC dosages, pH values, and adsorption time. Different isotherms and kinetic models were investigated to determine the adsorption equilibrium.

Adaptive beamforming of MIMO system using optimal steering vector with modified neural network for channel selection

Abstract: The forming of adaptive beam can improve the throughput of the system to a great extent by means of matching the parameters of transmitters to that of the wireless channels that are time-variant. T...

YOLOV5 and Morphological Hat Transform Based Traffic Sign Recognition

Abstract: This article narrates the traffic sign recognition by using morphological hat transform and YOLOV5. Recognition of traffic signs while driving on the road is necessary to estimate traffic situations and to avoid the accident. Due to bad weather conditions and night time, it is difficult to detect traffic signs in low contrast images. To tackle this problem, in this article, morphological hat transform used to enhance low contrast images and YOLOV5 used for detection. For this traffic sign detection, YOLOV5 network is trained with 4 classes of traffic sign dataset, which contains totally 740 images, in these 592 images used for training and 148 images used as validation images. This YOLOV5 network detected traffic signs with precision 77.9, recall 93.0 and obtained 0.78 mAP.