• Journal of Internet Computing and Services
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• v.13 no.3
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• pp.107-114
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• 2012

In this paper, we proposed an automatic monitoring system for contact center in order to manage customer's complaint and agent's quality. The proposed system allows more accurate monitoring using emotion recognition and keyword spotting method for neutral/anger voice emotion. The system can provide professional consultation and management for the customer with language violence, such as abuse and sexual harassment. We developed a method of building robust algorithm on heterogeneous speech DB of many unspecified customers. Experimental results confirm the stable and improved performance using real contact center speech data.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.119-128
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• 2005

As the number and diversity of educational services increases rapidly on the Internet, we are faced with some service availability problems including persistent service monitoring and fault tolerancy. In this paper, we implemented a service monitoring & fault management system to enhance this availability and reduce administration cost of WBI system. In order to validate our system, we also illustrated an effective real-time monitoring and automatic fault announcement & recovery from our experiences in a real world WBI environment.

• Korean Journal of Environment and Ecology
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• v.32 no.1
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• pp.39-46
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• 2018

Breeding bird surveys provide the reference information for understanding bird community structure and function in the ecosystem and conserving biodiversity. Recent rapid change of biodiversity due to climate change and other factors has made it necessary to utilize acoustic sensors for accuracy and spatial expansion of forest bird survey data and for time-series monitoring of forest birds. The objective of this study is to investigate the possibility of using acoustic recording sensor to evaluate the diversity of forest birds at breeding season by comparing and analyzing the recorded data of bird songs and field bird survey data. We conducted the site survey and recording in 186 points in 48 areas of 4 regions of Gombaeryeong and Jochimryeong around Jeombongsan Mountain and Jugryeong and Gochiryeong around Sobaeksan Mountain from May 2nd to 16th in 2013. The analysis of the correlation between the recording result and Bird Community Index based on the field survey showed that the number of bird species, population, and the number of bird songs by recording was significantly correlated to the number of species and population by field survey. Moreover, the number of bird species and the number of bird songs by recording showed a significant correlation to species diversity and species richness but no or low significant correlation to species evenness by the field study (observation and listing in parallel). As a result, it was possible to check species composition and species diversity of bird communities by analyzing acoustic recording data on the field. The acoustic recordings of bird songs in the breeding period were more reliable than the non-breeding period in the correlation of recording result and species diversity and for utilization.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2019.06a
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• pp.199-201
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• 2019

최근 경주 포항 지역에 지진피해 등 대구 경북권의 잦은 재난 발생으로 인해 증대되고 있는 노후학교 건축물의 안전성 위험 문제에 대한 선제 대응이 필요한 상황이 요구되고 있다. 학교 건축물에 건물의 위험도를 파악할 수 있는 센서들을 부착하고, 실시간 모니터링을 통해 건물의 구조적 위험성을 판단한다. 건물의 위험도가 심각한 단계에 이르면 스마트폰(Smart Phone) 앱(Application)과 음성안내방송을 통해 건물의 재실자와 관리자에게 즉시 경보를 발령하며, 대피할 수 있도록 가이드를 제시 한다. 이에 본 논문에서는 스마트 재난경보방송을 위한 스마트폰 애플리케이션(application)을 통해 재난 상황을 전파하고 대응할 수 있게 건물의 위험성 발생 위치정보를 제공하며 대피 안내 정보를 제공한다. 동시에 건물의 구내방송 시스템과 연계를 통해 음성 안내방송을 자동으로 수행하며, 두 가지 방식으로 재난 메시지를 전파하여 중복성을 가지고 경보 전파를 수행한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.5
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• pp.81-88
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• 2010

In this paper, we proposed an automatic music/non-music signal discrimination system from broadcasting audio signal as a preliminary study of building a sound source monitoring system in real broadcasting environment. By reflecting human speech articulation characteristics, we used three simple time-domain features such as energy standard deviation, log energy standard deviation and log energy mean. Based on the experimental threshold values of each feature, we developed a rule-based algorithm to classify music portion of the input audio signal. For the verification of the proposed algorithm, actual FM broadcasting signal was recorded for 24 hours and used as source input audio signal. From the experimental results, the proposed system can effectively recognize music section with the accuracy of 96% and non-music section with that of 87%, where the performance is good enough to be used as a pre-process module for the a sound source monitoring system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.9
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• pp.1898-1905
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• 2012

This paper presents an On-board Smart Device (OSD) for moving vehicle, based on a smooth integration of Android-based devices and a Micro-control Unit (MCU). The MCU is used for the acquisition and transmission of various vehicle-borne data. The OSD has threefold functions: Record, Report and Alarm. Based on these RRA functions, the OSD is basically a safety and convenience oriented smart device, where it facilitates alert services such as accident report and rescue as well as alarm for the status of vehicle. In addition, voice activated interface is developed for the convenience of users. Vehicle data can also be uploaded to a remote server for further access and data manipulation. Therefore, unlike conventional blackboxes, the developed OSD lends itself to a user-friendly smart device for vehicle safety: It basically stores monitoring images in driving plus vehicle data collection. Also, it reports on accident and enables subsequent rescue operation. The developed OSD can thus be considered an essential safety smart device equipped with comprehensive wireless data service, image transfer and voice activated interface.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.4
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• pp.739-744
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• 2005

For the structure of AVLS is required to the GPS-MDT for realtime acquisition the position reporting of vehicle and traffic management S/W. It is necessary that the MODEM using VHF transceiver base on GPS and monitoring program for display base on GIS the traffic status by vehicles position report in management system. The other wise, vehicles among management system that is required the automatic communications protocol for GPS information and mobile's ID. In his paper have studied the VHF modem for transmission the voice and data at same time and S/W for management system using GIS-tool.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.256-260
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• 2005

For the structure of AVLS is required to the GPS-MDT for realtime acquisition the position reporting of vehicle and traffic management S/W. It is necessary that the MODEM using VHF transceiver base on GPS and monitoring program for display base on GIS the traffic status by vehicles position report in management system. The other wise, vehicles among management system that is required the automatic communications protocol for GPS information and mobile's ID. In this paper have studied the VHF modem for transmission the voice and data at same time and S/W for management system using GIS-tool.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.11a
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• pp.644-647
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• 2020

최근 교육분야에서는 IT 기술을 활용하여 교육을 혁신하는 것을 의미하는 에듀테크에 대한 관심이 높아지고 있다. 단순한 지식의 전달이 아닌 사용자의 수준에 맞춰진 학습을 하고 자신의 학습 내용을 스스로 모니터링할 수 있는 새로운 교육시스템이 필요하다. 이에 본 논문에서는 빅데이터를 활용한 영어학습 애플리케이션를 제안한다. 제안하는 애플리케이션은 영어뉴스 기사에서 추출한 빅데이터를 활용하여 사용자 수준에 맞춘 유용한 문장을 분석해 자동으로 문제를 생성하고 사용자의 음성데이터를 강세 분석 알고리즘으로 원어민 발음과 비교분석 하여 발음 및 강세를 교정할 수 있도록 설계 및 구현하였다.

• Phonetics and Speech Sciences
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• v.12 no.2
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• pp.63-72
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• 2020

This study aims to develop a video-based smart utterance deep analyser (SUDA) application that analyzes semiautomatically the utterances that child and mother produce during interactions over time. SUDA runs on the platform of Android, iPhones, and tablet PCs, and allows video recording and uploading to server. In this device, user modes are divided into three modes: expert mode, general mode and manager mode. In the expert mode which is useful for speech and language evaluation, the subject's utterances are analyzed semi-automatically by measuring speech and language factors such as disfluency, morpheme, syllable, word, articulation rate and response time, etc. In the general mode, the outcome of utterance analysis is provided in a graph form, and the manger mode is accessed only to the administrator controlling the entire system, such as utterance analysis and video deletion. SUDA helps to reduce clinicians' and researchers' work burden by saving time for utterance analysis. It also helps parents to receive detailed information about speech and language development of their child easily. Further, this device will contribute to building a big longitudinal data enough to explore predictors of stuttering recovery and persistence.