Video analytics is an integral part of surveillance cameras. Comparedto video analytics, audio analytics offers several benefits, includingless expensive equipment and upkeep expenses. Additionally, the volume ofthe a...Video analytics is an integral part of surveillance cameras. Comparedto video analytics, audio analytics offers several benefits, includingless expensive equipment and upkeep expenses. Additionally, the volume ofthe audio datastream is substantially lower than the video camera datastream,especially concerning real-time operating systems, which makes it lessdemanding of the data channel’s bandwidth needs. For instance, automaticlive video streaming from the site of an explosion and gunshot to the policeconsole using audio analytics technologies would be exceedingly helpful forurban surveillance. Technologies for audio analytics may also be used toanalyze video recordings and identify occurrences. This research proposeda deep learning model based on the combination of convolutional neuralnetwork (CNN) and recurrent neural network (RNN) known as the CNNRNNapproach. The proposed model focused on automatically identifyingpulse sounds that indicate critical situations in audio sources. The algorithm’saccuracy ranged from 95% to 81% when classifying noises from incidents,including gunshots, explosions, shattered glass, sirens, cries, and dog barking.The proposed approach can be applied to provide security for citizens in openand closed locations, like stadiums, underground areas, shopping malls, andother places.展开更多
The existing research of literature on sound description in classical Chinese poetry has predominantly centered around Tang poetry and its lyrical aesthetics,with a particular focus on recurring typified images such a...The existing research of literature on sound description in classical Chinese poetry has predominantly centered around Tang poetry and its lyrical aesthetics,with a particular focus on recurring typified images such as“the call of the cuckoo,”“the howl of the ape,”“the toll of the bell,”and“the pitter-patter of the night rain.”The research paradigm has been somewhat one-dimensional.This paper examines the poems of Fan Chengda,a poet from the Southern Song Dynasty,to showcase the new exploration that Song poetry has made in sound description.Fan’s poetry,characterized by its realistic portrayal of everyday life,offers rich descriptions of the“sounds of urban life”—An imagery closely intertwined with the urban forms and commercial culture of the Song Dynasty.Through detailed narratives,Fan reinforces the emotional connotations and symbolic meaning of this imagery.Departing from the traditional focus on artistic conception prevalent in classical Chinese poetry,Fan’s work highlights the depiction of reality and affinity for everyday life.By presenting real-world sounds in a distorted manner,drawing on the psychological construct of“dreams,”Fan carries forward the artistic expression pioneered by the Northern Song poet Huang Tingjian.Moving beyond the lyrical aesthetics of Tang poetry marked by the“fusion of emotion and the natural setting,”Fan explores a novel approach,articulating his inner world through the medium of sound,showcasing the distinctive artistic qualities of Song poetry.展开更多
基金funded by the project,“Design and implementation of real-time safety ensuring system in the indoor environment by applying machine learning techniques”.IRN:AP14971555.
文摘Video analytics is an integral part of surveillance cameras. Comparedto video analytics, audio analytics offers several benefits, includingless expensive equipment and upkeep expenses. Additionally, the volume ofthe audio datastream is substantially lower than the video camera datastream,especially concerning real-time operating systems, which makes it lessdemanding of the data channel’s bandwidth needs. For instance, automaticlive video streaming from the site of an explosion and gunshot to the policeconsole using audio analytics technologies would be exceedingly helpful forurban surveillance. Technologies for audio analytics may also be used toanalyze video recordings and identify occurrences. This research proposeda deep learning model based on the combination of convolutional neuralnetwork (CNN) and recurrent neural network (RNN) known as the CNNRNNapproach. The proposed model focused on automatically identifyingpulse sounds that indicate critical situations in audio sources. The algorithm’saccuracy ranged from 95% to 81% when classifying noises from incidents,including gunshots, explosions, shattered glass, sirens, cries, and dog barking.The proposed approach can be applied to provide security for citizens in openand closed locations, like stadiums, underground areas, shopping malls, andother places.
文摘The existing research of literature on sound description in classical Chinese poetry has predominantly centered around Tang poetry and its lyrical aesthetics,with a particular focus on recurring typified images such as“the call of the cuckoo,”“the howl of the ape,”“the toll of the bell,”and“the pitter-patter of the night rain.”The research paradigm has been somewhat one-dimensional.This paper examines the poems of Fan Chengda,a poet from the Southern Song Dynasty,to showcase the new exploration that Song poetry has made in sound description.Fan’s poetry,characterized by its realistic portrayal of everyday life,offers rich descriptions of the“sounds of urban life”—An imagery closely intertwined with the urban forms and commercial culture of the Song Dynasty.Through detailed narratives,Fan reinforces the emotional connotations and symbolic meaning of this imagery.Departing from the traditional focus on artistic conception prevalent in classical Chinese poetry,Fan’s work highlights the depiction of reality and affinity for everyday life.By presenting real-world sounds in a distorted manner,drawing on the psychological construct of“dreams,”Fan carries forward the artistic expression pioneered by the Northern Song poet Huang Tingjian.Moving beyond the lyrical aesthetics of Tang poetry marked by the“fusion of emotion and the natural setting,”Fan explores a novel approach,articulating his inner world through the medium of sound,showcasing the distinctive artistic qualities of Song poetry.
