• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.10B
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• pp.1062-1069
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• 2009

The kidney diseases is a big social problem what is suffering sequela of metabolic syndrome due to obesity. Therefore, it is most important that early to take the appropriate action; it does not have symptoms Abnormalities of the kidney. With this, in mind, this paper wish to propose the method to can diagnosis by non self-consciousness, non-imprisonment, analgesia of kidney disease through the voice analysis. To configure the entire system is developed to combines the voice analysis, watching the face color and this paper is designed the method to diagnosis kidney disease based on labial. In this paper, organized each kidney disease patients and healthy people group and we would like to analyze, compare with output in experiment morphology analysis and numerical value analysis of voice information. Secondly, auscultation theory of Oriental medicine and linguistic, phonetics analyze out interrelation to extraction peculiar elements of kidney about voice deduction deduced relation of the first formants frequency. Such result of experimentation, deduced widely to be formed the first formants frequency bandwidth value of kidney patients group than normal group. Finally, diagnosing an kidney diseases in only labial sound, calculated about misdiagnosis probability.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.12B
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• pp.1123-1130
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• 2008

Baby's diseases diagnosis has inconvenient for received direct coming to help that order expression ability was insufficiency which consciousness situation concern about the infant health because of birth rate and decrease the marriage rate and divorce rate. So in this paper through the infant crying sound about home a foundation which infant diseases develop the system comparison normal infant with take a infant that analysis the extract the voice analytics component. Especially this paper propose about the methodology for development system that infant cold, infant pneumonia, infant asthma among extract the crying sound feature part for infant respiratory diseases discussion the most easy has involved the infant. So infant respiratory put case stimulus diseases about all voice organs and experiment the analysis method through the bandwidth about phonetics analysis component that comparison normal infant with take a respiratory infant. Through these method, we were extracted to results that infant's frequency bandwidth suffering from respiratory diseases than a normal infant is short.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.3
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• pp.91-98
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• 2018

Automatic detection of pig wasting diseases is an important issue in the management of group-housed pigs. In particular, porcine respiratory diseases are one of the main causes of mortality among pigs and loss of productivity in intensive pig farming. In this paper, we propose a noise-robust system for the early detection and recognition of pig wasting diseases using sound data. In this method, first we convert one-dimensional sound signals to two-dimensional gray-level images by normalization, and extract texture images by means of dominant neighborhood structure technique. Lastly, the texture features are then used as inputs of convolutional neural networks as an early anomaly detector and a respiratory disease classifier. Our experimental results show that this new method can be used to detect pig wasting diseases both economically (low-cost sound sensor) and accurately (over 96% accuracy) even under noise-environmental conditions, either as a standalone solution or to complement known methods to obtain a more accurate solution.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.384-385
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• 2016

본 연구에서는 최근 어류 폐사, 상수원 오염 등의 피해를 발생시키고 있는 녹조를 대상으로 위성영상을 이용한 발생 유무와 분포를 분석하고자 하였다. 녹조는 엽록소를 가지고 광합성을 하므로 식생과 매우 유사한 분광특성을 가진다. 이는 위성영상에서 제공하는 근적외 정보로부터 정규식생지수를 산출하고 그 변화를 분석함으로써 녹조 발생 유무를 식별해낼 수 있음을 의미한다. 연구 대상지역인 대청호는 올해 첫 조류경보가 발령된 수역으로 8월~10월 사이 상류지역을 중심으로 녹조가 발생하였다. 본 연구에서는 Landsat-8 위성영상을 이용하여 대청호에서 발생한 녹조분포를 분석하고, 그 중 높은 농도의 녹조가 발생한 추소리를 직접 방문하여 Unmanned Aerial Vehicle(UAV) 자료를 취득하였다. UAV 촬영 영상을 통해 추소리 수역에 녹조가 다량 발생한 것을 확인할 수 있었다. 향후에는 고해상도 위성영상인 플래닛스코프 위성영상을 추가적으로 활용함으로써 녹조 모니터링의 정확성과 적시성을 확보할 예정이다.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.35-42
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• 2012

This study will research the possibility about the extension from aesthetic artwork of information visualization to performance area. In information visualization fields, the function of transmitting information is important factor. In addition, the relationship with the audience concerning immersion and interactivity is also significant. Therefore, if an artwork in information visualization can extend to a performance, this study proposes that it is necessary to consider what elements are needed to intensify sensorium for the audience in that artwork. In order to solve that question, this study introduces and analyzes the installation artworks by Ben Rubin and Mark hansen in 2001. From this case study, we suggest three elements-the performing self, the performing interface and the dramatic pattern-to amplify sensorium by hypermediacy for the audience. This research would contribute to the understanding aesthetic artworks based on information visualization in terms of performing arts.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.9
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• pp.433-440
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• 2016

Railway point machines act as actuators that provide different routes to trains by driving switchblades from the current position to the opposite one. Since point failure can significantly affect railway operations with potentially disastrous consequences, early stress detection of point machine is critical for monitoring and managing the condition of rail infrastructure. In this paper, we propose a stress detection method for point machine in railway condition monitoring systems using sound data. The system enables extracting sound feature vector subset from audio data with reduced feature dimensions using feature subset selection, and employs support vector machines (SVMs) for early detection of stress anomalies. Experimental results show that the system enables cost-effective detection of stress using a low-cost microphone, with accuracy exceeding 98%.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.705-712
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• 2021

This study aims to develop artificial intelligence education programs that can be easily applied in elementary schools according to the trend of the times called artificial intelligence. The training program designed the purpose and direction based on the analysis results of the needs of 70 elementary school teachers according to the steps of the ADDIE model. According to the survey, elementary school students developed a machine learning education program to set sound data as the theme of the most accessible in their daily lives and to learn the principles of artificial intelligence in solving problems using sound data in real life. These days, when the need for artificial intelligence education emerges, elementary machine learning education programs that solve daily life problems based on sound data developed in this study will lay the foundation for elementary artificial intelligence education.

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.301-306
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• 2008

Recently, various health care methods for infants have been suggested in the impending era of low birth rate society. We propose, in this context, an early diagnosis method for common infant respiratory diseases. Particularly, the method is regarding infant cold and infant pneumonia. Firstly, sounds of infant crying, only expressing means of infants, among the infant cold group and the infant pneumonia group are compared and examined to find the differences from those among the healthy infant group. For this, the link between infected organs and articulatory organs is investigated. Also, resulting wave forms and frequency bandwidths among each group are compared and analyzed, by using the spectrum for a component voice, to diagnose the infant cold and pneumonia. Finally, the effectiveness of this method is verified through the experiments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.7
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• pp.3218-3222
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• 2013

Pansori is our traditional vocal sound, originality and excellence in the art of conversation, gesture general became a globally recognized world intangible heritage. Especially, Pansori as shrews and humorous representation of audience participation with a high degree of artistic value and enjoy the arts throughout all layers to be responsible for the social integration of functions is evaluated. Therefore, in this paper, Pansori five yard target speech signal analysis techniques applied to analyze the Pansori acoustic features of a representation of a society and era correlation extraction studies were performed. Pansori on the five yard spectrogram, pitch, stability and strength analysis for this experiment. Pansori through experimental results Comical story while keeping the audience focused and interested to better reflect the characteristics of energy for the wave of voice and vocal cord tremor change the width of a large, stable and voice with a loud voice, that expresses were analyzed.

• Journal of Ecology and Environment
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• v.29 no.3
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• pp.219-225
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• 2006

To study song themes and variation of Yellow-throated Bunting, we obtained and analyzed recordings from 45 males breeding in 16 deciduous forests of 6 provinces. We classified the 3,245 songs into a total of 164 song themes and 1,024 song variants according to the identification on the base of difference(lexicon) in 640 syllable compositions. Males had one to six song themes and averaged 3.5 themes. No males shared an identical song theme. Males had $5{\sim}14$ syllables (ave. 9.4) in one song theme and males increased effectively their repertoire size by changing syllable composition (i.e. adding, deleting, or substituting one or more syllables) in a single song theme. The number of variants averaged 5.1 (range 1 to 31) per song theme. Individual variability was highest in the terminal elements of the song. In PCA, the 16 populations are clearly separated on Co. I based on shared syllable and on Co. II based on unique syllable. Similarity of songs based on shared syllables by distance coefficients, showed a pattern of concordance with geography. Pairwise similarity declined with increasing distance among recording sites. 16 different geographical regions by the syllable were divided in UPGMA tree.