Abstract: In this paper a method for the estimation of the optimum sensor positions for acoustic emission localization on ship hull structures is presented. The optimum sensor positions are treated as a classification (localization) problem based on a deep learning paradigm. In order to avoid complex and timeconsuming implementations, the proposed approach uses a simple feature extraction module, which significantly reduces the extremely high dimensionality of the raw signals/data. The optimum sensor position is defined by the maximum localization rate. In simulation experiments, where a stiffened plate model was partially sunk into the water, the localization rate of acoustic emission events in a noise-free environment is greater than 99.5 %, using only a single sensor.

• Publication Date: 10-Dec-2017
• DOI: 10.15224/978-1-63248-140-5-43
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Abstract: Present Era is completely a technological age. There are so many instruments or devices are invented day by day which are used in our everyday life. Security has now become an important fact. To secure our residences, industries and bank (where higher security is required) - an “object detection and wireless signal transmission” circuit is designed. Using this circuit we will be able to protect our valuable things and make our life secured and safe. The circuits consist of NE555 timer, capacitor, diode, inductor, transistor, sound chip, speaker, led, resistor, IR led, TSOP 1738, 32 KHz crystal, trimmer, 4069UB. In this project, there are four sections: IR transmitter circuit IR receiver circuit Frequency transmitter circuit RF receiver circuit The proposed design has various desirable features such as low cost, simpler control and maintenance, and good efficiency.

• Publication Date: 13-Mar-2016
• DOI: 10.15224/978-1-63248-087-3-11
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