HMM and K-NN based Automatic Musical Instrument Recognition

Jeyalakshmi, C.; Murugeshwari, B.; Karthick, M.

doi:10.1109/i-smac.2018.8653725

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…Because of evaporative cooling, the Infra-Red camera can able to balance the argumentative moisture audit quickly & non-destructively. By this it is easy to pinpoint the exact location and size of the moisture affected region [2]. The River Project in Libya, by considering the level of dryness and the dimensions, it shows that by using infrared camera it is simple to detect the leakages in water pipes [3].…”

Section: Introductionmentioning

confidence: 99%

An Efficient Approach in Detecting Water Leakage in Superstructure

Kalaivani¹,

Jeyalakshmi²,

Dharini³

2019

International Journal of Advanced Research in Computer and Comm

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Automatic leakage detection and maintenance of superstructure is a challenging task in current civil frame work. Current detection standards require a detector to locate the target architecture location and visually appraise the superstructure condition. When the target location is impassable, lorgnette must be used to recognize the defects. This paper proposes a labour-intensive approach, by means of image processing which uses a robotic system to monitor and detect the superstructure frequently and execute independent leakage detection. This paper uses fuzzy KNN algorithm to detect water leakage in the building wall.

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Section: Introductionmentioning

confidence: 99%