Institution
Vignan University
Education•Guntur, Andhra Pradesh, India•
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.
Topics: Control theory, CMOS, Cement, Machining, Wireless sensor network
Papers
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01 Jan 2019
TL;DR: The empirical results revealed that the proposed GA-based approach can provide close results to users, and the proposed system is used in retrieving highly relevant images.
Abstract: The most recent upgrades in digital imaging and computing innovation brought on a quick development of advanced media in the individualized computing and media outlet. Moreover, vast accumulations of such information as of now exist in various logical application spaces, for example medical imaging and geographical information system (GIS). Overseeing expansive accumulations of multimedia information require the advancement of new tools and technologies. A system for retrieving images PC framework for surfing, testing and recuperating images from substantial databases that are used to store and manage digital images. Keeping in mind the end goal to surge in the rightness of image retrieval, the descriptor contains a perceptual browsing component (PBC) which is realized by employing an algorithm based on GA which is interactive in nature and is advertised. PBC system contains color, edge, and texture as primitive low-level image descriptors. The proposed system does the recovery mechanism in two phases. In the first phase, query image is considered for getting feature descriptors and they are taken out. Thus, it is further used to compare against the images available within the database. In the development stage, highly relevant images are identified and arranged. Thus, the proposed GA-based approach can provide close results to users. The experimental evaluation is made using a database of color images which is named UCI dataset. The empirical results revealed that the proposed system is used in retrieving highly relevant images.
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01 Jan 2019TL;DR: A plan utilizing LEDs to influence utilization of dynamic energy to supply to build energy proficiency and circulated bunching of gadgets for shrewd programmed control is proposed.
Abstract: Green building is a critical research zone in IoT. The energy productivity in green structures is a key for worldwide supportability. However, many elements influence energy utilization by the gadget and a large portion of the green structures are not by any stretch of the imagination green because of static energy supply and concentrated control on gadgets. Here, we propose a plan utilizing LEDs to influence utilization of dynamic energy to supply to build energy proficiency and circulated bunching of gadgets for shrewd programmed control.
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TL;DR: In this paper , the authors used Taguchi design of experiments approach to optimize the Landmark Routing Protocol in MANETs in terms of total energy consumption, control overhead and throughput.
Abstract: A MANET is a team of remote versatile devices or nodes that structure a system to trade data even with the lack of permanent network infrastructure. All the nodes work with the help of battery power. The efficient energy consumption is a main challenge in MANET which indeed affects the operational life of a MANET. So, the aim of this paper is to discover the most significant factor that is responsible for high energy consumption. The routing protocols’ performance is examined using simulation where one-factor-at-a-time (OFAT) approach is promoted. But, in reality, multiple factors affect the performance. But, design of experiments (DOE) approach lets many input factors to be experimented and tested in parallel that affect required output (response). This paper highlights the benefits of using Taguchi design of experiments approach to optimize the Landmark Routing Protocol in MANETs in terms of total energy consumption, control overhead and throughput. MANETs perform subjective to the design of the routing protocols and its configurable parametric values. The specific required network scenarios are simulated using EXata simulator/emulator. To recognize the most significant factor that affects the responses, Analysis of Variance (ANOVA) is applied, and the possible best factor-level combination is found using the signal-to-noise ratio analysis. ANOVA highlighted that the fisheye scope followed by fisheye update interval has the greatest impact on the responses. Later, by fine-tuning the most significant factor in the dynamic network environment, it is observed that LANMAR Routing Protocol performed better.
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TL;DR: This paper shows a method to introduce a mobility aid for blind persons by giving alert to blind person using voice processor with ear phones and signal processing unit with LPC 2148 microcontroller.
Abstract: This paper shows a method to introduce a mobility aid for blind persons by giving alert to blind person using voice processor with ear phones This system is also used in automatic robots, self propelling vehicles in automated production factories etc This system contains a signal processing unit with LPC 2148 microcontroller This receives data from serial input/output port and gives alert to blind people This paper contains temperature compensation method to reduce the error in measurement of distance using ultrasonic sensors Signal processing is done using lpc2148 micro controller which is used for interfacing between different sensors and pc sensor then process it and delivers it to the computer using serial input/output port and gives alert to blind people This paper contains temperature compensation method to reduce the error in measurement of distance using ultrasonic sensors Signal processing is done using LPC 2148 micro controller which is used for interfacing between different sensors and pc Further received data is verified using MATLAB
Authors
Showing all 1166 results
Name | H-index | Papers | Citations |
---|---|---|---|
Muthukaruppan Alagar | 40 | 316 | 5914 |
Ebenezer Daniel | 40 | 180 | 5597 |
P. B. Kavi Kishor | 30 | 123 | 3486 |
V. Purnachandra Rao | 26 | 59 | 1723 |
Muddu Sekhar | 24 | 135 | 1929 |
Anandarup Goswami | 23 | 44 | 5427 |
Reddymasu Sreenivasulu | 20 | 58 | 925 |
Murthy Chavali | 20 | 105 | 1699 |
Krishna P. Kota | 20 | 42 | 1172 |
Naveen Mulakayala | 17 | 39 | 937 |
Tondepu Subbaiah | 16 | 65 | 773 |
Bharat Kumar Tripuramallu | 15 | 34 | 574 |
Avireni Srinivasulu | 13 | 97 | 626 |
Abhinav Parashar | 13 | 29 | 375 |
Umesh Chandra | 13 | 39 | 550 |