2016
DOI: 10.1590/1678-4324-2016161054
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Classification of Flying Insects with high performance using improved DTW algorithm based on hidden Markov model

Abstract: Insects play significant role in the human life. And insects pollinate major food crops consumed in the world. Insect pests consume and destroy major crops in the world. Hence to have control over the disease and pests, researches are going on in the area of entomology using chemical, biological and mechanical approaches. The data relevant to the flying insects often changes over time, and classification of such data is a central issue. And such time series mining tasks along with classification is critical no… Show more

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Cited by 2 publications
(2 citation statements)
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“…After collection of single sensory noise audio signal records by three different mobile phones, we process the audio tracks in connection with the density level of polluting particles. Sound classification based on features is a fundamental research [30].The level of the dust inside the pump determines the age of the pump before being clogged. In order to detect the clogging stage and predict being choked with particles, a precise feature should be chosen.…”
Section: Pseudo-spectrum Analysismentioning
confidence: 99%
“…After collection of single sensory noise audio signal records by three different mobile phones, we process the audio tracks in connection with the density level of polluting particles. Sound classification based on features is a fundamental research [30].The level of the dust inside the pump determines the age of the pump before being clogged. In order to detect the clogging stage and predict being choked with particles, a precise feature should be chosen.…”
Section: Pseudo-spectrum Analysismentioning
confidence: 99%
“…where D s correct represents the movements correctly divided and D s all indicates the total number of times that an action is performed. True positive rate (TPR) and false positive rate (FPR) are selected as indicators to evaluate the recognition effect of the proposed method on unarmed fitness activities [28].…”
Section: Evaluation Indicatorsmentioning
confidence: 99%