A contemporary, thoroughly researched geography series for class 6-8 based on the latest ICSE syllabus, this series helps the learner to explore the natural and human environment and understand their continuous interaction.
A contemporary, thoroughly researched geography series for class 6-8 based on the latest ICSE syllabus, this series helps the learner to explore the natural and human environment and understand their continuous interaction.
A contemporary, thoroughly researched geography series for class 6-8 based on the latest ICSE syllabus, this series helps the learner to explore the natural and human environment and understand their continuous interaction.
A contemporary, thoroughly researched geography series for class 6-8 based on the latest ICSE syllabus, this series helps the learner to explore the natural and human environment and understand their continuous interaction.
A contemporary, thoroughly researched geography series for class 6-8 based on the latest ICSE syllabus, this series helps the learner to explore the natural and human environment and understand their continuous interaction.
A contemporary, thoroughly researched geography series for class 6-8 based on the latest ICSE syllabus, this series helps the learner to explore the natural and human environment and understand their continuous interaction.
Honorable Mention, 2018 Global Division Book Award presented by the Global Division of the Society for the Study of Social Problems Historically, the Indian state has not offered welfare and social rights to all of its citizens, yet a remarkable characteristic of its polity has been the ability of citizens to dissent in a democratic way. In Undervalued Dissent, Manjusha Nair argues that this democratic space has been vanishing slowly. Based on extensive fieldwork in Chhattisgarh, a regional state in central India, this book examines two different informal workers' movements. Informal workers are not part of organized labor unions and make up eighty-five percent of the Indian workforce. The first movement started in 1977 and was a success, while the other movement began in 1989 and still continues today, without success. The workers in both movements had similar backgrounds, skills, demands, and strategies. Nair maintains that the first movement succeeded because the workers contended within a labor regime that allowed space for democratic dissent, and the second movement failed because they contested within a widely altered labor regime following neoliberal reforms, where these spaces of democratic dissent were preempted. The key difference between the two regimes, Nair suggests, is not in the withdrawal of a prolabor state from its protective and regulatory role, as has been argued by many, but rather in the rise of a new kind of state that became functionally decentralized, economically predatory, and politically communalized. These changes, Nair concludes, successfully de-democratized labor politics in India.
This book, addresses the problem of prediction of weather Parameters like: i) Prediction of annual rainfall. ii) Prediction of return period of occurred highest one day maximum rainfall. iii) Prediction of weekly rainfall probabilities. iv) Prediction of Hourly air temperatures for one day. v) Prediction of soil temperatures at 5- 20 cm. depths. Double variable Fourier Series approach is first time applied to the problems of prediction in Meteorology. The main objective of this book is to predict the weather elements especially, annual rainfall and weekly rainfall probabilities, soil temperature (of Anand station of Gujarat, India) by using appropriate computational methods.The present book consists of six chapters. Chapter 2 gives necessary preliminaries on Weather, Artificial Neural Networks, the required Mathematical Analysis and Fourier series etc.A brief description of the chapters 3 to 6 is as follow: Chapter 3: Prediction of Annual Rainfall. Chapter 3 deals with the prediction of Annual Rainfall by using the following two methods: i) Artificial Neural Networks, and Double Variable Fourier Series. Chapter 4: Prediction of Rainfall Probabilities. In this chapter, we investigate following two problems: i) Return Period Analysis (RTPA) by Gumbel (13) and Fisher Tippett Type-II Distribution and ANN ii) Rainfall Probability Analysis (RPA) by Gamma Distribution ii) Model (GDM) and ANN. Chapter 5:- Prediction of Air temperatures. Chapter five deals with prediction of hourly air temperatures. The following two different methods are employed. i) Parton’s Mathematical Model. ii) Artificial Neural Network. Chapter 6.:- Prediction of weekly Soil temperatures. Chapter 6 deals with prediction of weekly soil temperatures at different depths by using following two different methods: i) Harmonic Analysis (HA) ii) Artificial Neural Networks (ANN).
A contemporary, thoroughly researched Geography series for class 6-8 based on the latest ICSE syllabus, this series helps learners explore natural as well as human environment.
A contemporary, thoroughly researched Geography series for class 6-8 based on the latest ICSE syllabus, this series helps learners explore natural as well as human environment.
A contemporary, thoroughly researched Geography series for class 6-8 based on the latest ICSE syllabus, this series helps learners explore natural as well as human environment.
A contemporary, thoroughly researched Geography series for class 6-8 based on the latest ICSE syllabus, this series helps learners explore natural as well as human environment.
A contemporary, thoroughly researched Geography series for class 6-8 based on the latest ICSE syllabus, this series helps learners explore natural as well as human environment.
A contemporary, thoroughly researched Geography series for class 6-8 based on the latest ICSE syllabus, this series helps learners explore natural as well as human environment.
This will help us customize your experience to showcase the most relevant content to your age group
Please select from below
Login
Not registered?
Sign up
Already registered?
Success – Your message will goes here
We'd love to hear from you!
Thank you for visiting our website. Would you like to provide feedback on how we could improve your experience?
This site does not use any third party cookies with one exception — it uses cookies from Google to deliver its services and to analyze traffic.Learn More.