Recognition of Disease in Retinal Fundus Using Unique Technique
Authors: Puneet Tandon, Harjinder Singh
Abstract
This paper presented a system of recognition of different retinal diseases from colour fundus photographs. The human eye is one of most important part of human body and diseases like glaucoma, diabetic retinopathy and macular degeneration can irreversible damage human vision. Macular degeneration that usually affects older adults. It occurs in "dry" and "wet" forms. Wet AMD happens when abnormal blood vessels that grows under retina. These vessels leak blood. Laser treatment used to seal leaking blood vessels. Now our main objective is to recognize the various abnormal blood vessels stages that grows under retina and causes macular degeneration using image processing techniques and treat these abnormal blood vessels stages using laser. This treatment prevents further leakage, bleeding, abnormal growth and vision loss.
Review on Energy Management Strategies in Hybrid Renewable Energy System
Authors: Arun, Dr. Ashok kumar Jhala
Abstract
An intelligent energy management system (IEMS) for maintaining the energy sustainability in renewable energy systems (RES) is studied. It consists of wind and photovoltaic (PV) solar panels are established and used to test the proposed IEMS. Since the wind and solar sources are not reliable in terms of sustainability and power quality, a management system is required for supplying the load power demand. The power generated by RES is collected on a common DC bus as a renewable green power pool to be used for supplying power to loads. This paper review of various researches works on energy management strategies in hybrid/ renewable energy system. MATLAB 8.3 software can be used to design and implement of such type of models and check performance parameters like input voltage, current, power, losses etc.
Design of Thermo Electric Generator for Led Street Light Applications
Authors: Ch. Kiran Kumar, S. Supriya, N. Srikanth, T. Viswa Teja, M Reshma, V. Sai Manaswini
Abstract
Generating electricity in present there is a shortage of fossil fuel, oil, gas, etc. burning of these fuels causes environmental problem like radio activity pollution, global warming etc. These (coal, oil, gas) are the limiting resources hence the new technology is needed for electricity generation, by using thermoelectric generators to generate power is environmental free and several advantages in production. This paper gives the thermoelectric energy harvesting devices are used for waste heat harvesting in microscale applications. This chapter presents an overview of the fundamental principles of thermoelectric energy harvesting and their low-power applications. Thermoelectric power generator convert direct waste heat into generate electricity. Thermoelectric power generation offer a potential application in the direct exchange of waste- heat energy into electrical power where it is unnecessary to believe the cost of the thermal energy input .This method will have an maximum outcome. The application of this option green technology in converting waste-heat energy directly into electrical power can too improve the overall efficiencies of energy conversion systems.
A Machine Learning Frameworks to Predict and Analyze the Crimes Against Women Harassment
Authors: M. Praveena, D. Sivaparvathi, K. Srivyshnavi , P. Lakshmiprasanna , T. Surekha, A. Bhagylakshmi
Abstract
A country's economic growth is unfavorably influenced with the steadily expanding crimes consistently. It is quite possibly the most serious issues in our general public and decreasing the crime rates have become a critical undertaking. Consequently, recognize various elements, event relations of crimes and subsequently deciding upgraded approach to lessen crimes rates. For this a data set should be kept up with which keeps record of various crimes with subtleties identified with spot, time and nature so on for future reference. This exploration work centers around how AI calculations can be planned and dissected to diminish crime rates in India. By the methods for AI procedures, deciding the example relations among immense arrangement of information has gotten simpler. This exploration primarily relies upon giving a forecast on crime type that may happen dependent on the area where it has effectively occurred. AI has been utilized to foster a model by the utilization of preparing informational index that have gone through the interaction of information cleaning and change. Investigation of informational index alongside its qualities can be carried out with the guide of information perception. The different elements are being recognized and caught. Hazard factors are being distinguished and prescient measures are planned which help in protecting society. Different grouping calculations, improvement calculations and factual investigation has been accomplished in this work.
Improving Security for the Data Stored in Decentralized Cloud Environment Using Cloud Computing
Authors: B. Neelima, D. Yaswanth Sai, G. Sai Bharath, K. Surendra Reddy, N. Sreekanth, P. Mahesh Babu
Abstract
Decentralized Cloud Storage is a good chance for a new cloud market, which meets an enormous community of users' supply and demand of IT resources. The dynamic and autonomous character of the resultant infrastructure presents safety issues which might slow to achieve this potential, otherwise making the projected economic advantages plainly visible and attractive. This article provides a method which will allow the owners of resources to safeguard their resources effectively and safely while depending on decentralized cloud services. Our approach combines everything-or-nothing-transform to provide robust resource protection with carefully planned techniques for resource cutting and decentralized storage network allocation. We handle both availability and security assurances, evaluate them simultaneously in our approach and allow resource owners to govern their environment.