• Title/Summary/Keyword: Information cascade

Search Result 269, Processing Time 0.025 seconds

Driver drowsiness recognition system based on camera image analysis (카메라 영상 분석 기반 운전자 졸음 인식 시스템)

  • Kim, Hyun-Suk;Choi, Min-Su;Bae, You-Suk
    • Annual Conference of KIPS
    • /
    • 2016.04a
    • /
    • pp.719-722
    • /
    • 2016
  • 운전자의 주의력 감쇠는 교통사고 요인에 있어서 큰 비중을 차지한다. 주의력 감쇠는 무선 통화, 기기 조작, 졸음으로 나타날 수 있는데 자동차 대형사고의 대부분은 졸음운전으로 인하여 일어나며, 졸음운전 시에는 운전자의 운전조작 및 방어 조작 능력이 현저하게 저하한다. 본 시스템은 카메라로부터 실시간으로 영상 데이터를 입력 받아 처리하여 운전자의 졸음 상태를 인식하는 시스템으로 운전자에게 졸음방지 기능을 제공한다. Haar-Like Feature cascade classifier 방법을 사용하여 얼굴 및 눈 영역 검출을 하였고 Open Eye, Closed Eye가 학습된 MLP(Multi-Layer Perceptron)를 이용해 눈 깜박임을 인식하여 PERCLOS(Percentage of Eye Close)방법으로 졸음을 판단하였다. 본 논문에서 제안한 방법의 인식률의 정확도를 검증하기 위해 인식률 테스트를 하였다.

A Study on the Magnetic Bubble Logic Circuit (자기바블 논리회로에 관한 연구)

  • 전경일;민태홍
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.11 no.1
    • /
    • pp.40-47
    • /
    • 1986
  • In this paper, the principles of cascade realization of 3-3CLC(3input-3out put Conservative Logic Circuit)using magnetic bubble are exlpored and the problem of realizing arbitary 3-3lofic circuit with minimal number of logic elements is handled. The five primitives classes 5, 15, 21, 24 and 29 are selected to realize all of the 3 equivatlent class by cascading only two of them. The crossoreres of lines are permitted in this realization and the upper bound of crossorers is three. The composition results are computed in MV 4000 minicomputer.

  • PDF

A study on design for a feeder waveguide array of the slot array antennas for DBS (DBS용 슬롯 어레이 안테나의 급전도파관 설계에 관한 연구)

  • 민경식;김광욱;김동철;임학규;김상태
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 1999.11a
    • /
    • pp.116-119
    • /
    • 1999
  • This paper presents a feeder waveguide array of slot array antennas for Direct Broadcasting from Satellite(DBS). The feed structure consists of a single waveguide placed on the same layer as radiating waveguide and is characterized by the unit divider, called a $\pi$-Junction. This K-function with an inductive wall splits part of the power into two branch waveguide through one coupling window, and can excite densely arrayed waveguide at equal phase and amplitude. The power dividing characteristics of a cascade of $\pi$ -functions are analyzed by Galerkin's method of moments. From the optimum simulation results based on the feeder waveguide using $\pi$ -Junction at 3.95GHz, we obtained the scattering matrices of the feeder divided power at 11.85CHz.

  • PDF

Autonomous driving drones using real-time face detection and motion recognition (실시간 얼굴 검출 및 모션 인식을 이용한 촬영용 자율 주행 드론)

  • Lee, Jay;Lee, Ju-Young;kim, Dong-Un;Jeon, Kyung Koo
    • Annual Conference of KIPS
    • /
    • 2018.10a
    • /
    • pp.509-511
    • /
    • 2018
  • 셀프 카메라로 배경과 함꼐 사용자 자기 자신의 전신 샷을 찍을 수 있도록 도와주는 '셀카봉'이 등장하였지만 아직도 사용자부터 카메라까지 거리의 한계가 존재하기 때문에 셀프 카메라를 찍는 것에 불편함이 있다. 이러한 문제점을 해결하기 위해 드론을 이용하여 셀프 카메라를 찍을 수 있도록 하는 기술을 제안한다. Real-Time 영상처리를 이용해 웹과 드론이 서로 통신을 하여 Haar Cascade 알고리즘을 기반으로 사용자의 얼굴을 실시간으로 인식하고 PID 제어를 통해 드론을 자동으로 조종한다면 사용자의 제스쳐에 인식해 드론의 촬영 기능을 컨트롤 할 수 있도록 한다.

A Tone Detector USing Cascaded Nonlinear Energy Trackers (비선형 에너지 추적기를 중첩 사용한 근접된 톤 신호의 검출)

  • 황성수
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.25 no.9B
    • /
    • pp.1563-1569
    • /
    • 2000
  • Teager-Kaiser algorithm that can track the energy of tone signals with simple nonlinear operations, has been applied to detection of tone signals closely spaced in frequency. The performance of the previous detector depends upon the performance of internal filters. An improved scheme is proposed in this paper by employing the nonlinear energy trackers in cascade. The proposed detector is analytically designed and verified by computer simulation. It shows that the new detection scheme improves the detection performance while reducing the implementation complexity.

  • PDF

Drowsiness warning system using eye-blink and heart rate (눈깜박임과 심박수를 이용한 졸음 경고 시스템)

  • Lee, Jong-yeop;Jeong, Jae-hoon;Kim, Dae-young;Gwon, Ji-Hye;Yun, Tae-jin
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2021.07a
    • /
    • pp.519-520
    • /
    • 2021
  • 본 논문에서는 딥러닝 기반의 얼굴인식과 Harr Cascade 분류기를 이용한 눈인식, 스마트워치를 매개로 한 심박수 측정을 활용하여 운전자 졸음운전 경고 시스템을 제안하였다. 제안하는 시스템은 PERCLOS 방법을 적용하여 운전자의 눈 감은 시간을 누적시켜 졸음 상태 유무를 판단하고, 스마트워치의 HR센서를 활용한 운전자의 심박수 값 모니터링을 진행하여 졸음 발생 시 경고음을 발생시켜 졸음운전으로 인한 교통사고를 예방할 수 있다.

  • PDF

Method for improving hair detection for hair loss diagnosis in Phototrichogram (모발 정밀검사에서 탈모 진단을 위한 머리카락 검출 개선 방법)

  • Bomin Kim;Byung-Cheol Park;Sang-Il Choi
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2023.01a
    • /
    • pp.89-90
    • /
    • 2023
  • 본 논문은 모발 정밀검사(Phototrichogram)를 통해 일정 간격을 두고 촬영된 환자의 모발 두피 사진을 이용하여 머리카락 검출 및 개수 변화 추이에 따른 환자의 탈모 진단에 도움을 줄 방법을 제안한다. 기존의 탈모 진단을 위해 제안하였던 머리카락 검출 방법에서 사용한 환자의 모발 두피 사진에 Color Slicing을 적용하여 환자의 두피 모발 사진의 픽셀값을 통일성 있게 구성하였다. 또한, 머리카락 검출하기 위한 방법으로 Swin Transformer를 사용하고, 딥러닝 기반의 영상 분할 기법(Image Segmentation)의 하나인 HTC(Hybrid Task Cascade) 모델을 활용하여 좀 더 효과적으로 머리카락을 검출할 수 있는 모델을 제안한다.

  • PDF

Analysis of Secondary Battery Based on Image Processing of Computed Tomography (CT 기반 영상처리를 이용한 이차전지의 분석)

  • Jea-Seok Oh;Sang-Yeol Lee;Yoon-Gi Yang;Keun-Ho Rew
    • Journal of Information Technology Applications and Management
    • /
    • v.29 no.6
    • /
    • pp.13-21
    • /
    • 2022
  • In this study, we presented a method to inspect the mechanical defects of 4680 type lithium-ion batteries through image processing method. The raw X-ray images are filtered with CLAHE, then Radon inverse transformations are calculated to reconstruct 3D computed tomography of the battery. Using Haar-cascade, the ROI is targeted automatically, and the template matchings are applied twice. The variations of contrast between template and background show the appropriate values for detecting tabs. It was shown that the proposed algorithm can detect all the tab inside the battery and the distances between tabs. Finally, we successfully found the geometrical defects of battery.

A design and implementation of Face Detection hardware (얼굴 검출을 위한 SoC 하드웨어 구현 및 검증)

  • Lee, Su-Hyun;Jeong, Yong-Jin
    • Journal of the Institute of Electronics Engineers of Korea SD
    • /
    • v.44 no.4
    • /
    • pp.43-54
    • /
    • 2007
  • This paper presents design and verification of a face detection hardware for real time application. Face detection algorithm detects rough face position based on already acquired feature parameter data. The hardware is composed of five main modules: Integral Image Calculator, Feature Coordinate Calculator, Feature Difference Calculator, Cascade Calculator, and Window Detection. It also includes on-chip Integral Image memory and Feature Parameter memory. The face detection hardware was verified by using S3C2440A CPU of Samsung Electronics, Virtex4LX100 FPGA of Xilinx, and a CCD Camera module. Our design uses 3,251 LUTs of Xilinx FPGA and takes about 1.96${\sim}$0.13 sec for face detection depending on sliding-window step size, when synthesized for Virtex4LX100 FPGA. When synthesized on Magnachip 0.25um ASIC library, it uses about 410,000 gates (Combinational area about 345,000 gates, Noncombinational area about 65,000 gates) and takes less than 0.5 sec for face realtime detection. This size and performance shows that it is adequate to use for embedded system applications. It has been fabricated as a real chip as a part of XF1201 chip and proven to work.

Source Identification of Ambient Size-by-Size Particulate Using the Positive Matrix Factorization Model on the Border of Yongin and Suwon (PMF 모델을 이용한 용인-수원경계지역에서의 부유분진의 크기별 오염원 확인)

  • Oh, Mi-Seok;Lee, Tae-Jung;Kim, Dong-Sool
    • Journal of Korean Society for Atmospheric Environment
    • /
    • v.25 no.2
    • /
    • pp.108-121
    • /
    • 2009
  • The suspended particulate matters have been collected on membrane filters and glass fiber filters by an 8-stage cascade impactor for 2 years (Sep. 2005${\sim}$Sep. 2007) in Kyung Hee University-Global Campus located on the border of Yongin and Suwon. The 20 chemical species (Al, Mn, Si, Fe, Cu, Pb, Cr, Ni, V, Cd, Ba, $Na^+$, ${NH_4}^+$, $K^+$, $Mg^{2+}$, $Ca^{2+}$, $Cl^-$, ${NO_3}^-$, and ${SO_4}^{2-}$) were analyzed by an ICP-AES and an IC after performing proper pre-treatments of each sample filter. Based on these chemical information, the PMF receptor model was applied to identify the source of ambient size-by-size particulate matters. The receptor modeling is the one of the statistical methods to achieve resonable air pollution management strategies. A total of 10 sources was identified in 9 size-ranges such as long-range transport, secondary aerosol, $NH_{4}NO_{3}$ related source, coal combustion, sea-salt, soil, oil combustion, auto emission, incineration, and biomass burning. Especially, the secondary aerosol source assorted in fine and coarse modes was intensively studied.