Articles written in Sadhana

    • Fuzzy DDBN: Fuzzy Dragon Deep Belief Neural Network and interesting features points for activity recognition


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      Activity recognition is the interest gaining research area, as the need for monitoring and controlling the public and the society to ensure the detection of the suspects and the illegal activities is of prime importance. The process of recognizing the activity of the humans is employed in various applications, mainly in the field ofsecurity to identify and detect the suspects. Accordingly, this paper uses a novel method named as the Fuzzy- DDBN classifier to categorize the human activities in the video. At first, the keyframes are extracted from the video based on the Bhattacharya similarity measure, and the keyframes are subjected to feature extraction using the Scale Invariant Feature Transform (SIFT) and the Spatio-Temporal Interest (STI) descriptor. The features extracted from the descriptors are fed to the classifier for classification that in turn, uses the GMM clustering.The classified output from the proposed Fuzzy-DDBN classifier, which is the combination of the fuzzy and the Dragon Deep Belief Neural Network (DDBN) classifier is merged using the correlation coefficients. The proposed method is experimented using two standard datasets to prove the superiority of the method with an accuracy of 0.98, specificity at a rate of 0.981, and sensitivity at a rate of 0.98 respectively.

    • Design and development of automated high temperature motor test facility


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      With increasing applications in high performance actuation systems as in aerospace and nuclear industries, demand for motors operating at an ambient temperature of 100°C and above has increased. Hence, it is highly necessary to validate the performance of motors at high temperature before their integration into complex critical systems. Most commercial test benches for motor available today, are designed for operation only at normal temperature. This paper describes the design, physical structure, operating principle and dataacquisition system of automated test facility developed for testing stepper motors, brushed DC motors and brushless servo motors at room temperature as well as at elevated temperatures. To make the entire measurement system automated, a graphical user interface based on C# software is developed. Through the experiments on standard motors, quality of the design, performance of test bench and implementation of control modes are validated. The results obtained show a successful intercommunication between modules such as control, drive,measurement, data acquisition and display as per the required performance.

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