• 제목/요약/키워드: Single detection system

검색결과 750건 처리시간 0.029초

Visual Positioning System based on Voxel Labeling using Object Simultaneous Localization And Mapping

  • Jung, Tae-Won;Kim, In-Seon;Jung, Kye-Dong
    • International Journal of Advanced Culture Technology
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    • 제9권4호
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    • pp.302-306
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    • 2021
  • Indoor localization is one of the basic elements of Location-Based Service, such as indoor navigation, location-based precision marketing, spatial recognition of robotics, augmented reality, and mixed reality. We propose a Voxel Labeling-based visual positioning system using object simultaneous localization and mapping (SLAM). Our method is a method of determining a location through single image 3D cuboid object detection and object SLAM for indoor navigation, then mapping to create an indoor map, addressing it with voxels, and matching with a defined space. First, high-quality cuboids are created from sampling 2D bounding boxes and vanishing points for single image object detection. And after jointly optimizing the poses of cameras, objects, and points, it is a Visual Positioning System (VPS) through matching with the pose information of the object in the voxel database. Our method provided the spatial information needed to the user with improved location accuracy and direction estimation.

다중 이미지에서 단일 이미지 검출 및 추적 시스템 구현 (Implementation of a Single Image Detection and Tracking System in Multiple Images)

  • 최재학;박인호;김성윤;이용환;김영섭
    • 반도체디스플레이기술학회지
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    • 제16권3호
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    • pp.78-81
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    • 2017
  • Augmented Reality(AR) is the core technology of the future knowledge service industry. It is expected to be used in various fields such as medical, education, entertainment etc. Briefly, augmented reality technology is a technique in which a mapped virtual object is augmented when a real-world object is viewed through a device after mapping a real-world object and a virtual object. In this paper, we implemented object detection and tracking system, which is a key technology of augmented reality. To speed up the object tracking, the ORB algorithm, which is a lightweight algorithm compared to the detection algorithm, is applied. In addition, KNN classifier, which is a machine learning algorithm, was applied to detect a single object by learning multiple images.

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Moon Phase based Threshold Determination for VIIRS Boat Detection

  • Kim, Euihyun;Kim, Sang-Wan;Jung, Hahn Chul;Ryu, Joo-Hyung
    • 대한원격탐사학회지
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    • 제37권1호
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    • pp.69-84
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    • 2021
  • Awareness of boats is a main issue in areas of fishery management, illegal fishing, and maritime traffic, etc. For the awareness, Automatic Identification System (AIS) and Vessel-Pass System (V-PASS) have been widely used to collect the boat-related information. However, only using these systems makes it difficult to collect the accurate information. Recently, satellite-based data has been increasingly used as a cooperative system. In 2015, U.S. National Oceanic and Atmospheric Administration (NOAA) developed a boat detection algorithm using Visible Infrared Imaging Radiometer Suite (VIIRS) Day & Night Band (DNB) data. Although the detections have been widely utilized in many publications, it is difficult to estimate the night-time fishing boats immediately. Particularly, it is difficult to estimate the threshold due to the lunar irradiation effect. This effect must be corrected to apply a single specific threshold. In this study, the moon phase was considered as the main frequency of this effect. Considering the moon phase, relational expressions are derived and then used as offsets for relative correction. After the correction, it shows a significant reduction in the standard deviation of the threshold compared to the threshold of NOAA. Through the correction, this study can set a constant threshold every day without determination of different thresholds. In conclusion, this study can achieve the detection applying the single specific threshold regardless of the moon phase.

고장 검출 필터를 사용한 항공기 터보팬 엔진 시스템의 고장 검출 (Fault Detection of Aircraft Turbofan Engine System Using a Fault Detection Filter)

  • 배준형
    • 전기전자학회논문지
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    • 제25권2호
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    • pp.330-336
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    • 2021
  • 하드웨어 이중화 구성 수를 줄이는 대표적인 방법은 마이크로컨트롤러로 고장을 검출, 식별 및 수용을 위한 해석적 기법으로 구현하는 것이다. 본 논문에서는 해석적 기법 중 하나인 고장 검출 필터를 항공기 터보팬 엔진 시스템에 적용하였다. 고장 검출 필터는 특수한 형태의 관측기로써 특정한 고장 발생시 잔차가 출력 공간에서 일정한 방향을 유지함으로써 고장의 위치 판별이 가능한 장점이 있다. 이에 본 논문에서는 터보팬 엔진 내 공기 터빈 시스템의 단일 입출력 동적 시스템 모델링, 고장 검출 필터 설계 및 이를 적용한 모의실험 결과를 나타내었다. 모의실험 결과를 통해 고장 검출 필터가 갖는 방향성에 대한 민감성 효과로 고장 검출이 유효하게 적용될 수 있음을 보였다.

An Architecture Design of Distributed Internet Worm Detection System for Fast Response

  • Lim, Jung-Muk;Han, Young-Ju;Chung, Tai-Myoung
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.161-164
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    • 2005
  • As the power of influence of the Internet grows steadily, attacks against the Internet can cause enormous monetary damages nowadays. A worm can not only replicate itself like a virus but also propagate itself across the Internet. So it infects vulnerable hosts in the Internet and then downgrades the overall performance of the Internet or makes the Internet not to work. To response this, worm detection and prevention technologies are developed. The worm detection technologies are classified into two categories, host based detection and network based detection. Host based detection methods are a method which checks the files that worms make, a method which checks the integrity of the file systems and so on. Network based detection methods are a misuse detection method which compares traffic payloads with worm signatures and anomaly detection methods which check inbound/outbound scan rates, ICMP host/port unreachable message rates, and TCP RST packet rates. However, single detection methods like the aforementioned can't response worms' attacks effectively because worms attack the Internet in the distributed fashion. In this paper, we propose a design of distributed worm detection system to overcome the inefficiency. Existing distributed network intrusion detection systems cooperate with each other only with their own information. Unlike this, in our proposed system, a worm detection system on a network in which worms select targets and a worm detection system on a network in which worms propagate themselves cooperate with each other with the direction-aware information in terms of worm's lifecycle. The direction-aware information includes the moving direction of worms and the service port attacked by worms. In this way, we can not only reduce false positive rate of the system but also prevent worms from propagating themselves across the Internet through dispersing the confirmed worm signature.

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방사선 오염분포 영상화를 위한 방사선 센서의 탐지 범위 개선에 관한 연구 (Detection Range Improvement of Radiation Sensor for Radiation Contamination Distribution Imaging)

  • 송근영;황영관;이남호;나준희
    • 한국정보통신학회논문지
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    • 제23권12호
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    • pp.1535-1541
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    • 2019
  • 방사선 사고 지역 및 제염이 필요한 지역에서의 안전하고 신속한 제염작업을 진행하기 위해서는 방사선 오염원에 대한 다양한 정보 획득이 필요하다. 특히 방사선원의 정확한 위치와 분포 정보의 파악은 신속한 후속 조치 및 오염원 제거를 위해 반드시 필요하며, 작업자의 방사선 피폭을 최소화할 수 있다. 방사선원의 위치와 분포 정보를 획득하기 위해서는 방사선 분포 탐지 장치를 사용한다. 방사선 분포 탐지 장치의 경우 일반적으로 탐지 센서 부가 단일 센서로 구성되며, 단일 센서의 물리적 한계로 인해 탐지 범위가 제한되는 문제점이 있다. 본 논문에서는 방사선 오염 분포 영상화 장치에 사용되는 단일 센서의 탐지 감도 제어를 위하여 보정 검출기를 적용하였으며, 이를 통해 제한적이었던 선량률 탐지 범위를 향상하였다. 또한 감마선 조사 시험을 통해 방사선 분포 탐지 범위의 개선을 확인하였다.

Single-Shot LiDAR system을 이용한 Timing Jitter 분석 및 개선 방안 (Timing Jitter Analysis and Improvement Method using Single-Shot LiDAR system)

  • 한문현;최규동;송민협;서홍석;민봉기
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2016년도 추계학술대회
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    • pp.172-175
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    • 2016
  • 시간 정보를 이용하여 거리 측정 및 물체 탐지 등에 사용되고 있는 Time of Flight(ToF) LiDAR(Light Detection And Ranging) 기술이 자율 주행 자동차, 지형 분석 같이 보다 정밀 측정이 필요한 분야에 응용되면서 ToF 시간 정보 추출에 대한 중요성이 높아지고 있다. 본 논문에서는 ToF 시간 정보의 정확성의 지표로 timing jitter를 사용하였고, 약 31M free space 환경에서 1.5um 파장의 MOPA LASER와 InGaAs Avalanche Photodiode(APD)로 이루어진 Single-Shot LiDAR system(SSLs)을 통해 측정 및 분석하였다. 또한 SSLs를 통해 측정된 데이터에 curve fitting 방법인 spline interpolation과 반복 측정된 피크 데이터를 이용하는 multiple-shot averaging 방법을 적용하여 timing jitter 개선결과를 제시하였다.

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Study on a Dynamic master system for Controller Area Network

  • Won, Ji-Woon;Hong, Won-Kee;Lee, Yong-Doo
    • 한국정보기술응용학회:학술대회논문집
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    • 한국정보기술응용학회 2005년도 6th 2005 International Conference on Computers, Communications and System
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    • pp.147-151
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    • 2005
  • CAN(Controller Area Network) is a simple and efficient network system for real time control and measurement. As it is not only good at error detection but also strong in electromagnetic interference, CAN has been widely used all over the industries. Basically, CAN needs a master node in charge of sensor data collection, node scheduling for data transmission to a monitoring system and error detection. According to the number of mater nodes, the CAN system is classified into two type of master system. One is a single master system that has only one master node and the other is a multi-master system where any sensor node can become a master node depending on the system's conditions. While it has the advantage of its fault tolerance, the multi-master system will suffer form the overall performance degradation when a defect is found in the master node. It is because all sensor nodes pertaining to a defective master node lose their position. Moreover, it is difficult and expensive to implement. For a single master system, the whole system will be broken down when a problem happens to a single master. In this paper, a dynamic master system is presented that there are several sub-master nodes of which basic functions are those of other sensor nodes at ordinary times but dynamically changed to replace the failing master node. An effective scheduling algorithm is also proposed to choose an appropriate node among sub-master nodes, where each sub-master node has its precedence value. The performance of the dynamic master system is experimented and analyzed.

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순시 무효 전력 고조파 검출방법을 이용한 단상 멀티레벨 능동전력 필터 (A Single Phase Multi-level Active Power Filter System using Instantaneous Reactive Power Harmonic Detection Method)

  • 김수홍;김성민;이강희;김윤호
    • 전력전자학회논문지
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    • 제10권3호
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    • pp.296-301
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    • 2005
  • 본 논문은 고조파 검출방식의 하나인 순시무효전력을 이용한 검출방식을 단상용 능동전력필터에 적용할 수 있도록 하였다. 가상회로를 가정하여 단상시스템에도 $\alpha$-$\beta$변환 기법을 이용함으로서 순시무효전력 검출 방식이 용이하게 적용될 수 있도록 하였다. 그리고 고조파 보상 인버터는 멀티레벨 인버터를 사용하였으며 트랜스포머 없이 입력 전원에 연결되어 고조파를 보상할 수 있도록 하였다. 제안된 알고리즘은 시뮬레이션과 실험을 통하여 입증되었다.

Real-time structural damage detection using wireless sensing and monitoring system

  • Lu, Kung-Chun;Loh, Chin-Hsiung;Yang, Yuan-Sen;Lynch, Jerome P.;Law, K.H.
    • Smart Structures and Systems
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    • 제4권6호
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    • pp.759-777
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    • 2008
  • A wireless sensing system is designed for application to structural monitoring and damage detection applications. Embedded in the wireless monitoring module is a two-tier prediction model, the auto-regressive (AR) and the autoregressive model with exogenous inputs (ARX), used to obtain damage sensitive features of a structure. To validate the performance of the proposed wireless monitoring and damage detection system, two near full scale single-story RC-frames, with and without brick wall system, are instrumented with the wireless monitoring system for real time damage detection during shaking table tests. White noise and seismic ground motion records are applied to the base of the structure using a shaking table. Pattern classification methods are then adopted to classify the structure as damaged or undamaged using time series coefficients as entities of a damage-sensitive feature vector. The demonstration of the damage detection methodology is shown to be capable of identifying damage using a wireless structural monitoring system. The accuracy and sensitivity of the MEMS-based wireless sensors employed are also verified through comparison to data recorded using a traditional wired monitoring system.