The objective of the study is to come up with techniques that would reduce drag.
drag reduction has a range of positive ramifications like -
1)reduced fuel consumption
2)larger operational range
4)higher achievable speeds
A cognitive radio system participates in a continuous process, the ‘‘cognition cycle”, during which it adjusts its operating parameters, observes the results and, eventually takes actions, that is to say, decides to operate in a specific radio configuration (i.e., radio access technology, carrier frequency, modulation type, etc.) expecting to move the radio toward some optimized operational state. in such a process, learning mechanisms that are capable of exploiting measurements sensed from the environment, gathered experience and stored knowledge, are judged as rather beneficial for guiding decisions and actions. framed within this statement, this report introduces some learning schemes that are based on deep learning techniques and can be used for predicting the capabilities (e.g. data rate) that can be achieved by a specific radio configuration. it also elaborates on different modulation identification methods for classification of cellular networks pertaining to automatic modulation classification (amc). with the help of matlab and neural network toolbox, modulation classification of am, bpsk, gsm signals, cdma2000 and data rate prediction using recurrent neural network (rnn) is simulated. this report also opens up path for classification of network signals using various deep learning networks with the help of feature based algorithms and ultimately helping the cr to efficiently predict the white spaces in the licensed spectrum for efficient spectrum sharing.
Reliability is essential to the success of wind energy systems and this demands good tribological designs and practice coupled with appropriate condition monitoring. this would also reduce maintenance costs.
The field of fashion, design & architecture is now a day's an influential sector which has its success growth rate in the global market. designers and professionals are working together to introduce a better life to the people who take part actively in adapting in their lifestyle. fashion & design has its vast applications and various areas of work which requires many young professionals to introduce new ideas with innovative and practical designs to cater huge demand of the increasing consumer base in fashion & design market. fashion, design & architectural education in the society can play an important role among young aspirants who can set their ideology and creative sense to mobilize next generation and influence them about social behavior and global changing pattern.
The concept discussed in my presentation is value-at-risk, a risk measure mostly studied for portfolio optimization in mathematical distribution. in this, we have discussed how it depends on the different statistical distribution and has compared the results.