• 제목/요약/키워드: Unusual event

검색결과 36건 처리시간 0.023초

Intelligent User Pattern Recognition based on Vision, Audio and Activity for Abnormal Event Detections of Single Households

  • Jung, Ju-Ho;Ahn, Jun-Ho
    • 한국컴퓨터정보학회논문지
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    • 제24권5호
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    • pp.59-66
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    • 2019
  • According to the KT telecommunication statistics, people stayed inside their houses on an average of 11.9 hours a day. As well as, according to NSC statistics in the united states, people regardless of age are injured for a variety of reasons in their houses. For purposes of this research, we have investigated an abnormal event detection algorithm to classify infrequently occurring behaviors as accidents, health emergencies, etc. in their daily lives. We propose a fusion method that combines three classification algorithms with vision pattern, audio pattern, and activity pattern to detect unusual user events. The vision pattern algorithm identifies people and objects based on video data collected through home CCTV. The audio and activity pattern algorithms classify user audio and activity behaviors using the data collected from built-in sensors on their smartphones in their houses. We evaluated the proposed individual pattern algorithm and fusion method based on multiple scenarios.

Development of an Event Stream Processing System for the Vehicle Telematics Environment

  • Kim, Jong-Ik;Kwon, Oh-Cheon;Kim, Hyun-Suk
    • ETRI Journal
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    • 제31권4호
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    • pp.463-465
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    • 2009
  • In this letter, we present an event stream processing system that can evaluate a pattern query for a data sequence with predicates. We propose a pattern query language and develop a pattern query processing system. In our system, we propose novel techniques for run-time aggregation and negation processing and apply our system to stream data generated from vehicles to monitor unusual driving patterns.

Intelligent Pattern Recognition Algorithms based on Dust, Vision and Activity Sensors for User Unusual Event Detection

  • Song, Jung-Eun;Jung, Ju-Ho;Ahn, Jun-Ho
    • 한국컴퓨터정보학회논문지
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    • 제24권8호
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    • pp.95-103
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    • 2019
  • According to the Statistics Korea in 2017, the 10 leading causes of death contain a cardiac disorder disease, self-injury. In terms of these diseases, urgent assistance is highly required when people do not move for certain period of time. We propose an unusual event detection algorithm to identify abnormal user behaviors using dust, vision and activity sensors in their houses. Vision sensors can detect personalized activity behaviors within the CCTV range in the house in their lives. The pattern algorithm using the dust sensors classifies user movements or dust-generated daily behaviors in indoor areas. The accelerometer sensor in the smartphone is suitable to identify activity behaviors of the mobile users. We evaluated the proposed pattern algorithms and the fusion method in the scenarios.

활주로 폐쇄를 야기한 대설 사례 연구 (A Study of Heavy Snow event caused Runway closed)

  • 김영철
    • 한국항공운항학회지
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    • 제21권4호
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    • pp.106-111
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    • 2013
  • The heavy snow event occurred on JAN 4, 2010 brought huge disaster such as Gimpo International Airport runway closed, heavy delays of other airport, and property damage of 16 billion won. Though this heavy snow event is involved in the general synoptic scale heavy snow forecast, it recorded too much snow amount and longer duration than expected. To explain this unusual event, we used the conveyor belt theory. By combining the synoptic scale heavy snow forecast and the conveyor belt theory, the characteristics of heavy snow event was well explained.

Ecosystem Consequences of an Anomalously High Zooplankton Biomass in the South Sea of Korea

  • Kang, Young-Shil;Rebstock, Ginger-A.
    • Journal of the korean society of oceanography
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    • 제39권4호
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    • pp.207-211
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    • 2004
  • We used long time series of hydrographic and biological variables to examine the ecosystem consequences of a rare, anomalous event in the south sea of Korea. The highest zooplankton biomass in 36 years of sampling occurred in April 1997. Zooplankton biomass exceeded 2 times than the long-term mean at 35% of the stations. Copepod abundance was low in April and June and also failed to show a seasonal peak in 1997. Mackerel (Scomber japonicus) catches were very low in spring 1997 and 1999, in spite of a positive correlation between zooplankton biomass and mackerel catches at lags of 0, 12 and 24 months. It was discussed that a high zooplankton biomass with low copepod abundance in April 1997 resulted from unusual high temperature and salps abundance. Water temperatures were ca. $2^{\circ}C$ higher than the long-term mean at the surface. Salps and doliolids (thaliaceans), especially the warm-water species Doliolum nationalis, dominated the zooplankton. An unusual incursion of the Tsushima Warm Current may have transported the thaliaceans into the area and/or produced favorable conditions for a bloom. This study suggested that taxonomic composition of zooplankton was important to decide mackerel catches.

2002년 8월의 집중호우와 저온현상 (Agricultural Implications of Rainfall Events and Low Temperature in August 2002)

  • 이양수;심교문;황규홍;고문환
    • 한국농림기상학회지
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    • 제4권3호
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    • pp.169-174
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    • 2002
  • When the long - lasting stationary fronts were pushed northward by the Pacific Highs in late July, mostly clear skies with intermittent showers were a typical weather of August in Korea. However, torrential rains and flash floods are now a seasonal event of August in recent years. Some meteorologists suspect this unusual phenomenon might be connected with the global change and are concerned about the possibility of change in summer climatic pattern in Korea. August of year 2002 must be remembered to be one of the record breaking months with respect to the rainfall events. In this paper, we analyzed the weather and crop data nationwide for August in 2002, and suggest a few countermeasures necessary to overcome the wet and cool summer impacts on agricultural sector.

지능형 영상네트워크 연계형 PTZ카메라 기반 다중 이벤트처리 (PTZ Camera Based Multi Event Processing for Intelligent Video Network)

  • 장일식;안성제;박광영;차재상;박구만
    • 한국통신학회논문지
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    • 제35권11A호
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    • pp.1066-1072
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    • 2010
  • 본 논문에서는 다중 PTZ 카메라 기반의 다중이벤트 처리 감시시스템을 제안하였다. 각각의 PTZ 카메라에는 검출할 이벤트의 종류를 설정할 수 있다. 기존 PTZ 감시 카메라에는 하냐의 카메라가 하나의 이벤트 처리를 하기 때문에 새로운 객체가 발생하여 새로운 이벤트를 설정해야 할 경우 문제가 생기며, 각각의 PTZ 카메라는 감시하는 영역아 정해져 있기 때문에 객체가 감사할 수 없는 곳으로 이동시 추적이 불가능한 문제가 발생한다. 본 논문에서는 이러한 문제점을 해결하기 위하여 하나의 PTZ 카메라에 새로운 객체가 발생했을 때 주변의 PTZ 카메라에서 새로운 객체의 위치 좌표를 추정하여 객체를 감시할 수 있는 감시 시스템을 제안하고, PTZ 카메라의 영역에서 벗어나는 객체에 대한 이벤트 링크를 다시 설정함으로써 객체의 감시가 지속적으로 가능하게 하는 시스템을 제안하였다. 모의실험을 통해 제안 방식의 우수한 성능을 입증하였다.

감시정찰 센서네트워크에서 시공간 연관성를 이용한 효율적인 이벤트 탐지 기법 (An Efficient Event Detection Algorithm using Spatio-Temporal Correlation in Surveillance Reconnaissance Sensor Networks)

  • 여명호;김용현;김훈규;이노복
    • 한국군사과학기술학회지
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    • 제14권5호
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    • pp.913-919
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    • 2011
  • In this paper, we present a new efficient event detection algorithm for sensor networks with faults. We focus on multi-attributed events, which are sets of data points that correspond to interesting or unusual patterns in the underlying phenomenon that the network monitors. Conventional algorithms cannot detect some events because they treat only their own sensor readings which can be affected easily by environmental or physical problem. Our approach exploits spatio-temporal correlation of sensor readings. Sensor nodes exchange a fault-tolerant code encoded their own readings with neighbors, organize virtual sensor readings which have spatio-temporal correlation, and determine a result for multi-attributed events from them. In the result, our proposed algorithm provides improvement of detecting multi-attributed events and reduces the number of false-negatives due to negative environmental effects.

음성, 영상, 먼지 센서를 활용한 1인 가구 이상 행동 패턴 탐지 (Abnormal Behavior Pattern Identifications of One-person Households using Audio, Vision, and Dust Sensors)

  • 김시원;안준호
    • 인터넷정보학회논문지
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    • 제20권6호
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    • pp.95-103
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    • 2019
  • 최근 1인 가구가 다양한 연령대에서 증가하고 있으며 무연고자의 사망도 점차 증가한다. 1인 가구의 무연고사의 경우 주위에 돌봐줄 사람이 없어 많이 발생하며 최근에는 노인뿐만 아니라 다양한 연령대에서 발생한다. 우리는 혼자 사는 사람의 이상 징후를 탐지하고자 홈 CCTV를 이용한 영상 패턴 알고리즘과 음성을 인식하는 음성 패턴 알고리즘, 움직임 및 요리 등에서 발생하는 먼지를 탐지하는 센서로 먼지 패턴 알고리즘을 연구 및 개발하였다. 개별적으로 제안된 패턴 알고리즘은 탐지 영역을 벗어나게 되면 탐지하지 못하는 단점이 존재한다. 개별 패턴 알고리즘의 성능을 향상시키기 위해 융합 방식을 연구했으며, 다수의 사용자 행동 패턴을 분석하여 그 성능을 검증하였다.

Analysis of the Molecular Event of ICAM-1 Interaction with LFA-1 During Leukocyte Adhesion Using a Reconstituted Mammalian Cell Expression Model

  • Han, Weon-Cheol;Kim, Kwon-Seop;Park, Jae-Seung;Hwang, Sung-Yeoun;Moon, Hyung-Bae;Chung, Hun-Taeg;Jun, Chang-Duk
    • Animal cells and systems
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    • 제5권3호
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    • pp.253-262
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    • 2001
  • Ligand-receptor clustering event is the most important step in leukocyte adhesion and spreading on endothelial cells. Intercellular adhesion molecule-1 (ICAM-1) has been shown to enhance leukocyte adhesion, but the molecular event during the process of adhesion is unclear. To visualize the dynamics of ICAM-1 movement during adhesion, we have engineered stable Chinese hamster ovary cell lines expressing ICAM-1 fused to a green fluorescent protein (IC1_GFP/CHO) and examined them under the fluorescence microscopy. The transfection of IC1_GFP alone in these cells was sufficient to support the adhesion of K562 cells that express $\alpha$L$\beta$2 (LFA-1) integrin stimulated by CBR LFA-1/2 mAb. This phenomenon was mediated by ICAM-1-LFA-1 interactions, as an mAb that specifically inhibits ICAM-1-LFA-1 interaction (RRl/l) completely abolished the adhesion of LFA-1* cells to IC1_ GFP/CHO cells. We found that the characteristic of adhesion was followed almost immediately (~10 min) by the rapid accumulation of ICAM-1 on CHO cells at a tight interface between the two cells. Interestingly, ICI_GFP/CHO cells projected plasma membrane and encircled approximately half surface of LFA-1+ cells, as defined by confocal microscopy. This unusual phenomenon was also confirmed on HUVEC after adhesion of LFA-1* cells. Neither cytochalasin D nor 2,3-butanedione 2-monoxime an inhibitor of myosin light chain kinase blocked LFA-1-mediated ICAM-1 clustering, indicating that actin cytoskeleton and myosin-dependent contractility are not necessary for ICAM-1 clustering. Taken together, we suggest that leukocyte adhesion to endothelial cells induces specialized form of ICAM-1 clustering that is distinct from immunological synapse mediated by T cell interaction with antigen presenting cells.

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