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무선 센서 네트워크에서 장애 검출을 위한 결합 주성분분석과 적응형 임계값
( Thien-binh Dang ),( Vi Van Vo ),( Duc-tai Le ),( Moonseong Kim ),( Hyunseung Choo ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.1
Principal Component Analysis (PCA) is an effective data analysis technique which is commonly used for fault detection on collected data of Wireless Sensor Networks (WSN). However, applying PCA on the whole data make the detection performance low. In this paper, we propose Joint PCA and Adaptive Threshold for Fault Detection (JPATAD). Experimental results on a real dataset show a remarkably higher performance of JPATAD comparing to conventional PCA model in detection of noise which is a popular fault in collected data of sensors.
무선 센서 네트워크에서의 이상 징후 감지를 위한 공동 지수 평활법 및 추세 기반 주성분 분석
( Thien-binh Dang ),양희규,( Manh-hung Tran ),( Duc-tai Le ),김문성 ( Moonseong Kim ),주현승 ( Hyunseung Choo ) 한국정보처리학회 2019 한국정보처리학회 학술대회논문집 Vol.26 No.2
Principal Component Analysis (PCA) is a powerful technique in data analysis and widely used to detect anomalies in Wireless Sensor Networks. However, the performance of conventional PCA is not high on time-series data collected by sensors. In this paper, we propose a Joint Exponential Smoothing and Trend-based Principal Component Analysis (JES- TBPCA) for Anomaly Detect ion which is based on conventional PCA. Experimental results on a real dataset show a remarkably higher performance of JES-TBPCA comparing to conventional PCA model in detection of stuck-at and offset anomalies.
듀티 사이클 환경의 무선센서네트워크에서 분산 브로드캐스트 스케줄링 기법
( Thien-binh Dang ),( Manh-hung Tran ),( Duc-tai Le ),염상길 ( Sanggil Yeom ),추현승 ( Hyunseung Choo ) 한국정보처리학회 2017 한국정보처리학회 학술대회논문집 Vol.24 No.1
Accompanying the Internet of Things (loT) is a demand of advanced applications and services utilizing the potential of the IoT environment. Monitoring the environment for a provision of context-aware services to the human beings is one of the new trends in our future life. The IoTivity Cloud is one of the most notable open-source platform bringing an opportunity to collect, analyze, and interpret a huge amount of data available in the IoT environment. Based on the IoTivity Cloud, we aim to develop a novel platform for comprehensive monitoring of a future network, which facilitates on-demand data collection to enable the network behavior prediction and the quality of user experience maintenance. In consideration of performance evaluation of the monitoring platform, this paper presents results of a preliminary test on the data acquisition/supply process in the IoTivity Cloud.
무선 센서 네트워크에서 노이즈 감지를 위한 DWT-PCA 조합
당띠엔빈 ( Thien-binh Dang ),김문성 ( Duc-tai Le ),추현승 ( Moonseong Kim ),( Hyunseung Choo ) 한국정보처리학회 2020 한국정보처리학회 학술대회논문집 Vol.27 No.2
Discrete Wavelet Transform (DWT) is an effective technique that is commonly used for detecting noise in collected data of an individual sensor. In addition, the detection accuracy can be significant improved by exploiting the correlation in the data of neighboring sensors of Wireless Sensor Networks (WSNs). Principal component analysis is the powerful technique to analyze the correlation in the multivariate data. In this paper, we propose a DWT-PCA combination scheme for noise detection (DWT-PCA-ND). Experimental results on a real dataset show a remarkably higher performance of DWT-PCA-ND comparing to conventional PCA scheme in detection of noise that is a popular anomaly in collected data of WSN.
응급상황 대처를 위한 웨어러블 디바이스 및 개인건강기록 시스템 개발
이지수 ( Jisoo Lee ),( Thien-binh Dang ),염상길 ( Sanggil Yeom ),추현승 ( Hyunseung Choo ) 한국정보처리학회 2017 한국정보처리학회 학술대회논문집 Vol.24 No.1
최근 급성 질환으로 인한 사망률은 꾸준히 증가하고 있다. 이러한 급성 질환은 초기 증상 발생 시 올바른 인지와 신속한 대처가 요구된다. 그러나 유지·관리비용 면에서 모든 개인의 응급상황을 관리할 수 있는 의료시스템은 구축하기 어렵다. 본 논문에서는 언급한 문제점을 해결하기 위해 웨어러블 디바이스와 개인건강기록 시스템을 제안한다. 웨어러블 디바이스에서 측정한 심박·체온의 생체신호로 응급상황을 판별해 지정된 보호자에게 알린다. 또한, 응급버튼을 통해 곧바로 응급상황을 알린다. 개인이나 가족과 관련된 건강정보를 관리할 수 있는 개인건강기록(Personal Health Record)을 제공한다. 본 시스템을 통해 사용자의 응급상황에 신속하게 대처하여 생명을 보호할 수 있을 것으로 기대한다.
iCaMs: 안티 콜 피싱 및 메시지 사기를 위한 지능형 시스템
( Manh-hung Tran ),양희규,( Thien-binh Dang ),추현승 ( Hyun-seung Choo ) 한국정보처리학회 2019 한국정보처리학회 학술대회논문집 Vol.26 No.2
The damage from voice phishing reaches one trillion won in the past 5 years following report of Business Korea on August 28, 2018. Voice phishing and mobile phone scams are recognized as a top concern not only in Korea but also in over the world in recent years. In this paper, we propose an efficient system to identify the caller and alert or prevent of dangerous to users. Our system includes a mobile application and web server using client and server architecture. The main purpose of this system is to automatically display the information of unidentified callers when a user receives a call or message. A mobile application installs on a mobile phone to automatically get the caller phone number and send it to the server through web services to verify. The web server applies a machine learning to a global phone book with Blacklist and Whitelist to verify the phone number getting from the mobile application and returns the result.