8 research outputs found
Wind Resource Land Mapping using ArcGIS, WAsP and Multi Criteria Decision Analysis (MCDA)
No full textAbstractThe wind power potential in India estimated by the Centre for Wind Energy Technology (CWET), Chennai, India using a meso scale model at 50 m level is around 48,581 MW. This is based on the assumption that 1% of wind resource land is available for wind farm development. Subsequently the installable capacity was reevaluated at an 80 m level on an assumption that 2% of wind resource land is available and this was found to be around 1,02,788 MW. Even though this was the best attempt and effort a more precise estimation of the wind potential land in India considering the wind resource, electrical grid infrastructure, physical, socioeconomic and environment factors would improve the estimation accuracy. The wind resource land has been found to be around 15% in this study by using WAsP, ArcGIS tools and Multi-Criteria Decision Analysis (MCDA) techniques
Rice Yield Prediction of Chengalpattu District for Samba season in Tamil Nadu by DSSAT CERES-RICE model
No full textCERES-Rice model was evaluated to simulate inter-annual yield variability (1979 -1998) and provide rice yield prediction (1999 - 2001) of Chengalpattu district in Tamil Nadu. Rice Yield of the district has varied from 1750 kg/ha to 3566 kg/ha between 1979 and 1998. Input requirement of model viz., daily weather data of Annamalai Meteorological Observatory, genetic coefficients of rice (samba season), respective soil properties and agronomic practices were used for simulation. Yield deviations (Ydobs) from single linear technology trends (Ŷobs) (Period 1979-1999) were used along with year-wise deviations in simulated yields (Ydsim) from its nineteen-year trend (Ŷsim) (1979-1999) for yield prediction. Deviations simulated to trend rice yields during 1979-1999 and its relationship could signify the importance in predicting the trend yield with RMSE of 269.43, Absolute per cent error 10.20 and further explain the orientation of forecasted yield for the period (1999- 2001)
User privacy and security in mobile devices using biometrics
Get PDFThe purpose of this thesis was to develop an Android app which ensures user privacy and security in mobile devices using Biometrics. This app was designed to perform traditional texting function without use of internet in the android platform. It was intended to use for everyone This thesis mainly discuss the need of storing our mobile data more secure, possible methods and impacts, and why it more important in the modern world, Existing passwords are not secure enough, Encryption techniques, and encryption standard. Fingerprint played the major role for authentication in this CText app.
The development tools used for this project is Android studio, which is most important for design an Android App. And it is recommended and acceptable by all android device manufactures to support maximum function. Java programming language is used for logical and complex coding, AES Encryption standard was used to provide high security and break free the key from brutal-attacks by super computer. It made the CText App encryption is stronger and more reliable and forever secure.
Biometric Fingerprint is used as main verification method for legitimate access in this app. Fingerprint is the most secure biometrics compared to face and Voice recognition and iris scanner. Most of the biometrics required specialized sensors or readers for enrollment. Most of the smartphone comes with fingerprint. So it’s easy to use to work with more devices. CText Android came with Fingerprint to ensure user privacy and security.
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This project is designed and developed using agile software development methodologies, from the planning stage to evaluation stage. Testing performed numerous repeated set of test cases in real android devices to make sure the app functions working without lack or performance degradation. The issues and challenges are faced by the author both in terms of technical issues and other deadlines to meet also presented.
After this CText App launched in Google Play store, feedback will be collected from the end users and potential scenarios and then planned to develop the future development needs to make it more user friendly and better for everyone
A Study of Water Quality Status of Mangrove Vegetation in Pichavaram Estuary
No full textMangrove ecosystem is unique in nature due to the combination of Halophytic plants, animals, birds and aquatic organisms. Such wetland ecosystems possess rich nutrition status that contributes rich bio resources to aquatic flora and fauna. Brackish water within the ambit of Pichavaram plays a pivotal role on growth and development of mangrove community. A study was undertaken to understand the surface water dynamics quality parameters in Pichavaram Estuary. Analysis of water quality parameters was assessed for the period of November 2012. Adequate care was taken to cover all tidal regimes (i.e.) (i) Inlet: the point where the principal feeder opens into the estuary; (ii) Center: the point that gives the general water quality of the estuary; (iii) Outlet: the place where the overflow occurs. Study sites from which samples were collected, were identified adjoining the region of Parangipettai Vellar Estuary and Pichavaram mangrove forest. Ten surface water samples were collected. These were analyzed for physico-chemical parameters such as temperature, pH, salinity, dissolved oxygen and total dissolved solids vary significantly among the three regions. All studied parameters were spatially interpolated in GIS environment to understand the distribution of individual nutrient in the ecosystem. The results of the statistical analysis were subjected to cluster analysis for grouping parameters based on similarity and dissimilarities. Individual parameter values were overlaid on the LANDSAT imagery to understand spatial representation of water quality with respect to bio-physical value of the mangrove ecosystem
