Suchergebnisse

Cover -- Title -- Copyright -- End User License Agreement -- Contents -- Preface -- List of Contributors -- Testing the Types of Corrosion -- D. Chandra Sekhar1, N. Suresh Kumar2,*, K. Chandra Babu Naidu3, B. Venkata Shiva Reddy3,4 and T. Anil Babu3 -- 1. INTRODUCTION -- 2. SALT-SPRAY (FOG) TEST -- 3. MODIFIED SALT FOG TESTS -- 3.1. Acetic Acid Salt Spray (Fog) Test -- 3.2. Cyclic Acidified Salt Fog Test -- 3.3. Acidified Synthetic Sea Water (Fog) Test -- 3.4. Salt/SO2 Spray (Fog) Test -- 3.5. Dilute Electrolyte Cyclic Fog/Dry Test -- 4. CYCLIC SALT FOG/UV EXPOSURE -- 5. CASS TEST -- 5.1. Corrodkote Test -- 5.2. Filiform Test -- 5.3. High Humidity Tests -- 5.4. Corrosive Gas Tests -- 6. ASTM G 87 -- 6.1. Mixed Flowing Gas -- 7. CYCLIC CORROSION TESTS -- 8. ELECTROCHEMICAL TECHNIQUES FOR CORROSION TESTING -- 8.1. Linear Polarization Method-Evaluation of Corrosion Rates -- 8.2. Potentiodynamic Polarization Measurements -- 8.3. Electrochemical Impedance Spectroscopy (EIS) -- 8.4. Application of Electrochemical Impedance to Corrosion Studies -- 8.5. Advantages and Limitations of EIS -- 9. RECENT CORROSION RESEARCH -- CONCLUSION -- CONSENT FOR PUBLICATION -- CONFLICT OF INTEREST -- ACKNOWLEDGEMENTS -- REFERENCES -- Anti-Corrosion Coating Mechanisms -- D. Chandra Sekhar1, N. Suresh Kumar2,*, K. Chandra Babu Naidu3, B. Venkata Shiva Reddy3,4 and T. Anil Babu3 -- 1. INTRODUCTION -- 2. DIFFERENT COATING MECHANISMS -- 2.1. Barrier Coatings -- 2.2. Sacrificial Coatings -- 2.3. Inhibitive Coatings -- 2.4. Inorganic Coatings -- 2.5. Passivation: Anti-Corrosion Coating -- 3. ANTI-CORROSION COATINGS -- 3.1. Polymeric Materials -- 3.2. Metallic Coatings -- 3.2.1. Electroplated Coatings -- 3.2.2. Electroless Metal Coatings -- 3.2.3. Hot-dip Coating -- 3.2.4. Thermal Spraying -- 3.2.5. Cladding -- 4.2.6. Vapor Deposited Coatings.

India's transition to a knowledge-based economy requires a new generation of educated and skilled people. Its competitive edge will be determined by its people's ability to create, share, and use knowledge effectively. A knowledge economy requires India to develop workers--knowledge workers and knowledge technologists--who are flexible and analytical and can be the driving force for innovation and growth. Developing skilled workers enhances the efficiency and flexibility of the labor market; skills bottlenecks are reduced, skilled workers are more easily absorbed into the economy, and their job mobility is improved. In this light, an effort is made in this book to describe and analyze governmental skill development initiatives in India. The book focuses on the status of vocational education programs, challenges of achieving quality and attaining competitive excellence in a globalized socioeconomic order, and the role of government and industry in achieving these avowed goals. The book also dwells on the need to revive traditional family-centric vocations pursued in the rural communities, especially those dying village-based vocations that provide livelihood options to a multitude of socially disadvantaged artisans, and integrate them into the fabric of skill development initiatives in place. The book provides a systematic understanding of the processes of skill formation and provides several pathways for enhancing entrepreneurial skills in a business ecosystem with a huge knowledge capital gained through skill development initiatives. Toward this end, the book seeks to contribute toward understanding the structures and processes of governance and initiatives for enhancing the quality of skilling programs. The book also dwells on various opportunities and challenges of augmenting a multitude of skilled workforces made available through various skilling initiatives and programs.

section 1. Perspectives -- section 2. Sectoral review -- section 3. The road ahead

Heart disease identification is one of the most challenging task that requires highly experienced cardiologists. However, in developing nations such as Ethiopia, there are a few cardiologists and heart disease detection is more challenging. As an alternative solution to cardiologist, this study proposed a more effective model for heart disease detection by employing random forest and sequential feature selection (SFS). SFS is an effective approach to improve the performance of random forest model on heart disease detection. SFS removes unrelated features in heart disease dataset that tends to mislead random forest model on heart disease detection. Thus, removing inappropriate and duplicate features from the training set with sequential feature selection approach plays significant role in improving the performance of the proposed model. The proposed feature selection approach is evaluated using real world clinical heart disease dataset collected from University of California Irvine (UCI) data repository. Empirical test on validation set reveals that the proposed model performs well as compared to the existing methods. Overall, the state of-the-art heart disease detection model with classification accuracy of 98.53% is proposed for heart disease detection using SFS and random forest model.

The Geospatial Delhi Limited (GSDL), a Govt. of NCT of Delhi Company formed in order to provide the geospatial information of National Capital Territory of Delhi (NCTD) to the Government of National Capital Territory of Delhi (GNCTD) and its organs such as DDA, MCD, DJB, State Election Department, DMRC etc., for the benefit of all citizens of Government of National Capital Territory of Delhi (GNCTD). This paper describes the development of Geospatial Map based Election portal (GMEP) of NCT of Delhi. The portal has been developed as a map based spatial decision support system (SDSS) for pertain to planning and management of Department of Chief Electoral Officer, and as an election related information searching tools (Polling Station, Assembly and parliamentary constituency etc.,) for the citizens of NCTD. The GMEP is based on Client-Server architecture model. It has been developed using ArcGIS Server 10.0 with J2EE front-end on Microsoft Windows environment. The GMEP is scalable to enterprise SDSS with enterprise Geo Database & Virtual Private Network (VPN) connectivity. Spatial data to GMEP includes delimited precinct area boundaries of Voters Area of Polling stations, Assembly Constituency, Parliamentary Constituency, Election District, Landmark locations of Polling Stations & basic amenities (Police Stations, Hospitals, Schools and Fire Stations etc.). GMEP could help achieve not only the desired transparency and easiness in planning process but also facilitates through efficient & effective tools for management of elections. It enables a faster response to the changing ground realities in the development planning, owing to its in-built scientific approach and open-ended design.