Civil structures are susceptible to damages over their service lives due to aging, environmental loading, fatigue and excessive response.Such deterioration significantly affects the performance and safety of structure. In this study, the measured structure vibration signals were decomposed by Fast Fourier Transform (FFT), Continuous Wavelet Transform (CWT) and Wavelet Packet Transform (WPT) to extract the sensitive features of the structural response, and to form one-dimensional or two-dimensional feature patterns.Correlation pattern recognition was used to perform pattern-matching for damage detection.To demonstrate the validity and accuracy of the method, experimental study was conducted on a small-scale three-story building. The results showed that the features of the signal for different damage scenarios can be uniquely identified by these transformations, and correlation algorithm can then be used to identify the most probable damage scenario.

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Certain occupational environments pose major threats to human safety, potentially keeping their lives in danger and due to which various kinds of robots are designed to perform such complicated tasks. Robots were formerly guided by mechanical instruments, but with advent developments in Human-Computer Interaction, they are presently controlled by hand gestures and speech, which have introduced a new field in robotics, called Collaborative Robots. Among them, gesture recognition is the most sort after technology as it uses hand movements as input to perform the desired task. Thisarticlereports a novel system to detect the gestures in real time with continuous hand movement tracking via microprocessors and position sensors. The system consists of transmitting module and receiving module. The transmitting module is a glove comprising of an Arduino controller, flex sensors, MPU-6050 sensor, Bluetooth module and a power source. The method is virtually validated in MATLAB Simulink by simulation of robot arm through user hand movements via electro-mechanical sensors.Wireless communication and quick response time serves as the main feature of the suggested methodology.

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