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The most important classification difficulty is feature selection. Feature selection is widely used data analytics and machine learning tasks and it is one of the data preprocessing tasks. It does not produce new features. It attempts diminish the attributes by removing irrelevant attributes using an efficient and robust feature selection method. If the dataset contains irrelevant attributes it may...
In this paper a Power Factor Correction Cuk converter fed Brushless DC Motor Drive using a Artificial Neural Network is used. The Speed of the Brushless dc motor is controlled by varying the output of the DC capacitor. A Diode Bridge Rectifier followed by a Cuk converter is fed into a Brushless DC Motor to attain the maximum Power Factor. Here we are evaluating the three modes of operation in discontinuous...
Now a days most of the fields such as industries, telecommunication, plug in hybrid vehicles etc, there will be different voltage level because of the auxiliary circuits in addition to main power circuit. In such system, Single Input Multiple output (SIMO) dc to dc converters have very good place and researches on SIMO dc to dc converters are worthy. Integrated Dual Output Buck Boost converter is...
This paper presents the comparison between the performance range of conventional and Quasi Resonant Single Ended Primary Inductor Converter (SEPIC) topology. Here the modified topology is the combination of the quasi resonant characteristics and the SEPIC converter topology. A Wide input (3.6–7.2V) and wide output (3–9) voltage ranges are obtained satisfactorily for the high frequency operation. Since...
Input current ripple from a switching power supply contains considerable low order harmonics, necessitating extra design efforts for reducing the amount of electro magnetic interference. This paper presents a boost converter achieving input current ripple reduction by the proper designing of inductors. This is achieved with minimal number of components. The high voltage gain of this converter eliminates...
Key generation is an important challenge among the issues related to security in wireless sensor network. Each node has a set of keys called key-chain rather than a single shared key. The key-chains are generated at the base station and stored in the ROMs of sensor nodes prior to deployment. This paper brings in the idea of deterministic approach to key generation. There is no need to assume a probability...
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