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.

Semi-automated Polyhouse Cultivation using LabVIEW

Abstract: The optimum solution for polyhouse maintenance with minimum hardware and human effort has developed. By using this proposed model the temperature inside the polyhouse can be measured and controlled. For measuring the temperature LM35 sensor has used. And for making polyhouse at constant temperature cooling fan has taken. By using national instruments ELVIS-II board these hardware components are interfaced. The overall implementation has done with the help of LabVIEW programming. The proposed model provides the cost effectiveness and has the advantage of easy installation. This model operated on the given threshold value of temperature. Whenever the temperature increases beyond the programmed value the cooling fan will starts working to lower the temperature without any further manual instruction. By provision of this automatic cooling function the human effort can be reduced to maximum level to make the cultivation in a fruitful way by making optimum conditions for the growth of the plants. For this proposed model the threshold value temperature has taken as 35 o C. The status of the environmental conditions inside polyhouse can be observed in the computer with the help of LabVIEW. The GUI provided by LabVIEW shows the value of temperature and its conditional parameters and status of cooling fan.

Hadoop techniques for concise investigation of big data in multi-format data sets

Abstract: The examination of various sorts of content substance in sending sends, social online diaries, messages, get-togethers and diverse sorts of printed correspondence constitutes what we call content investigation. Content examination is material to most organizations: it can help partition an incredible of many messages; you can separate customer's comments and request in get-togethers; you can perform appraisal examination using content examination via evaluating productive or discouraging impression of an association, assortment, otherwise product. Content investigation has in like manner considered as substance extraction, and is a subset of the Accepted Communication Handling (ACH) foundation, distinguished as the building up twigs of simulated intellects, when an excitement for understanding substance at first made. At the present time Content Investigation is every now and again measured as the accompanying step in Big Data examination. Content Investigation has different subsets: Content Extraction, Named Individual Identification, Semantic system remarked on region's depiction, and some more A extensive variety of machine robotized structures are delivering broad measure of data in different structures like honest information, content substance, and bio-metric data that builds up the term Big Data. In this Research article we are having extraction issues, troubles, and utilization of these sorts of Big Data with the possibility of gigantic data estimations. Here we are discussing web based systems administration data examination, content based investigation, content data examination, their issues and expected application zones. It will move researchers to address these issues of limit, organization, and recuperation of data known as Big Data.

High Speed Level Converters With Short Circuit Current Reduction

Abstract: The level converter is used as interface between low voltages to high voltage boundary. The efficient level converter has less power consumption and less delay are the design considerations of the level shifter. In this paper two new CMOS level converters are presented with high driving capability with low propagation delay. The proposed level converters are simulated using Cadence software with 0.18 µm CMOS technology. The simulation result shows that the proposed circuits have less propagation delay than the existing ones. The circuits are simulated for different load capacitor values and different voltages. The proposed level converters operate for different input pulse signal amplitude values are +0.8 V, +1 V, +1.2 V and V DDH values of +1.8 V and +3.3 V .

A novel optimized rigid image registration of brain using ACMI

Abstract: The Mutual Information (MI) is considered to be one of the best metric for mono and multi modal registration results in mis-registration due to spatial information lacking This problem can be solved by using Gradient Coded Mutual Information (GCMI), contains less information than MI In this paper the advantages of above two methods can be combined, and known as Adaptive Combination of MI and GCMI (ACMI) It also laid stress on optimization step, where the process is optimized using Downhill-simplex method and Gauss-Newton method and results show that the accuracy, robustness, reliability and reduction in computation time are improved with ACMI using Gauss-Newton method