• Title/Summary/Keyword: Format Detection

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Development of Real-Time Arrhythmia Detection and BLE-based Data Communication Algorithm for Wearable Devices (웨어러블 디바이스를 위한 실시간 부정맥 검출 및 BLE기반 데이터 통신 알고리즘 개발과 적용)

  • SooHoon, Maeng;Daegwan, Kim;Hyunseok, Lee;Hyojeong, Moon
    • Journal of Biomedical Engineering Research
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    • v.43 no.6
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    • pp.399-408
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    • 2022
  • Because arrhythmia occurs irregularly, it should be examined for at least 24 hours for accurate diagnosis. For this reason, this paper developed firmware software for arrhythmia detection and prevented consumption of temporal and human resources and enabled continuous management and early diagnosis. Prior to the experiment, the interval between the R peaks of the QRS Complex was calculated using the Pan-Tompkins algorithm. The developed firmware software designed and implemented an algorithm to detect arrhythmia such as tachycardia, bradycardia, ventricular tachycardia, persistent tachycardia, and non-persistent tachycardia, and a data transmission format to monitor the collected data based on BLE. As a result of the experiment, arrhythmia was found in real time according to the change in BPM as designed in this paper. And the data quality for BLE communication was verified by comparing the sensor's serial communication value with the Android application reception value. In the future, wearable devices for real-time arrhythmia detection will be lightweight and developed firmware software will be applied.

Detecting Jaywalking Using the YOLOv5 Model

  • Kim, Hyun-Tae;Lee, Sang-Hyun
    • International Journal of Advanced Culture Technology
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    • v.10 no.2
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    • pp.300-306
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    • 2022
  • Currently, Korea is building traffic infrastructure using Intelligent Transport Systems (ITS), but the pedestrian traffic accident rate is very high. The purpose of this paper is to prevent the risk of traffic accidents by jaywalking pedestrians. The development of this study aims to detect pedestrians who trespass using the public data set provided by the Artificial Intelligence Hub (AIHub). The data set uses training data: 673,150 pieces and validation data: 131,385 pieces, and the types include snow, rain, fog, etc., and there is a total of 7 types including passenger cars, small buses, large buses, trucks, large trailers, motorcycles, and pedestrians. has a class format of Learning is carried out using YOLOv5 as an implementation model, and as an object detection and edge detection method of an input image, a canny edge model is applied to classify and visualize human objects within the detected road boundary range. In this study, it was designed and implemented to detect pedestrians using the deep learning-based YOLOv5 model. As the final result, the mAP 0.5 showed a real-time detection rate of 61% and 114.9 fps at 338 epochs using the YOLOv5 model.

Multi Characters Detection Using Color Segmentation and LoG operator characteristics in Natural Scene (자연영상에서 컬러분할과 LoG연산특성을 이용한 다중 문자 검출에 관한 연구)

  • Shin, Seong;Baek, Young-Hyun;Moon, Sung-Ryong
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.2
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    • pp.216-222
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    • 2008
  • This paper proposed the multi characters detection algorithm using Color segmentation and the closing curve feature of LoG Operator in order to complement the demerit of the existing research which is weak in complexity of background, variety of light and disordered line and similarity of left and background color, etc. The proposed multi characters detection algorithm divided into three parts : The feature detection, characters format and characters detection Parts in order to be possible to apply to image of various feature. After preprocess that the new multi characters detection algorithm that proposed in this paper used wavelet, morphology, hough transform which is the synthesis logical model in order to raise detection rate by acquiring the non-perfection characters as well as the perfection characters with processing OR operation after processing each color area by AND operation sequentially. And the proposal algorithm is simulated with natural images which include natural character area regardless of size, resolution and slant and so on of image. And the proposal algorithm in this paper is confirmed to an excellent detection rate by compared with the conventional detection algorithm in same image.

An integrated program of driving simulator for excavators (굴삭기 주행 시뮬레이터를 위한 통합 프로그램)

  • Yoo, Chang-Hoon;Son, Kwon
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.716-719
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    • 1997
  • An integrated program of driving simulator has been developed for excavators using the Motif, OpenGL, and C compiler. The developed program not only offers a GUI but also covers graphic algorithms, therefore, the user can easily run the driving simulator whose components include a simplified visual graphics system. Several graphics technique are combined and applied to the simulator program in order to increase the speed of graphical representation, which access computer memories, mix 2D models with 3D ones, and use the basic position detection method. A text format environment file has been utilized for organizing more flexible driving circumstances.

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The Design of Reliable Graphics-DTV Signal Converter Using EDAC Algorithm in DTV System

  • Ryoo, Dong-Wan;Lee, Jeun-Woo
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2126-2130
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    • 2003
  • In the integrated systems, that is integrated digital TV(DTV) internet and home automation, like home server, is needed integration of digital TV video signal and computer graphic signal. The graphic signal is operating at the high speed and has time-divide-stream. So the re-request of data is not easy at the time of error detection. therefore EDAC algorithm is efficient. In this paper, we show a scheme, that is integration of graphic and dtv format signal for DTV monitor display. This paper also presents the efficiency error detection auto correction(EDAC) for conversion of graphics signal to DTV video signal. A presented EDAC algorithms use the modified hamming code for enhancing video quality and reliability. A EDAC algorithm of this paper can detect single error, double error, triple error and more error for preventing from incorrect correction. And it is not necessary an additional memory. In this paper The comparison between digital TV video signal and graphic signal, a EDAC algorithm and a design of conversion graphic signal to DTV signal with EDAC function in DTV system is described.

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A Study on Laser Cutting Path Generation by Image Processing (이미지처리를 통한 레이저 가공경로생성에 관한 연구)

  • 박정호;이희관;양균의;김공묵
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.934-938
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    • 2000
  • This paper presents a laser cutting of 2D image. 2D image in pixel graphic format is converted into vector graphic image by image processing. Bitmap graphics are made easily, but can not being used in application works for geometry transition. The Sobel's Edge detection method is used to find boundary points on 2D image. The points are fitted into curves with sampling and filtering. Sampling can provide efficient computation and filtering reconstuct features in image. The NC code is generated on MURBS curve of the points. Also, the offset of contour and cutting conditions are considered.

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Low-Complexity Maximum-Likelihood Decoder for VBLAST-STBC Scheme Using Non-square OSTBC Code Rate 3/4

  • Pham Van-Su;Le Minh-Tuan;Mai Linh;Yoon Gi-Wan
    • Journal of information and communication convergence engineering
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    • v.4 no.2
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    • pp.75-78
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    • 2006
  • This work presents a low complexity maximum-likelihood decoder for signal detection in VBLAST-STBC system, which employs non-square O-STBC code rate 3/4. Stacking received symbols from different symbol duration and applying QR decomposition result in the special format of upper triangular matrix R so that the proposed decoder is able to provide not only ML-like BER performance but also very low computational load. The low computational load and ML-like BER performance properties of the proposed decoder are verified by computer simulations.

Format of intrusion detection information and transmission method of Integrated Intrusion Management System (통합 침입 관리 시스템의 침입탐지 정보형식과 전송방법)

  • Kim, Seong-Cheoll;Kim, Young-Ho;Won, Yong-Gwan
    • Proceedings of the Korea Information Processing Society Conference
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    • 2002.11b
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    • pp.893-896
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    • 2002
  • 네트워크 발달로 컴퓨터 시스템에 대한 접근이 용이해 지면서 호기심 또는 악의로 시스템을 침입 및 파괴하려는 다양한 형태의 침입 행위가 날로 증가하고 있다. 이러한 침입에 대비하여 대상 시스템에 대한 비 인가된 행위를 탐지 및 구별하고 이에 대응하는 기능을 가진 침입 탐지 시스템(IDS: Intrusion Detection System)에 대한 연구가 폭 넓게 진행되어 왔으며 다양한 형태의 IDS 들이 컴퓨터 및 네트워크 시스템에 적용되고 있다. 그러나 일반적인 IDS 는 단일 시스템에 대한 침입을 탐지하고 방어하는 것에 그 목적이 있으므로, 하나의 단위 네트워크 시스템을 효과적으로 보호하기 위해서는 단일 시스템에 대한 침입정보를 신속하게 상호 공유할 필요가 있다. 따라서 개별 Host 나 Network 장비에 분산되어 동작하는 다중의 IDS 에 대해서 통합 관리를 수행하는 통합 침입 관리시스템이 요구되어진다. 본 논문에서 제안하는 시스템은 각 IDS 들이 침입을 탐지하는 순간 이에 대한 정보를 수집하여 다른 IDS 들에게 침입에 대한 정보를 신속하게 전달하고, 정보의 종류와 수행 기능에 따른 요구사항을 프로토콜에 적절하게 반영 할 수 있는 시스템을 제안한다.

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File Carving: JPEG Image Fragmentation Point Detection for Digital Forensics (파일 카빙: 디지털 포렌식을 위한 JPEG 이미지 단편화 지점 감지)

  • Lkham, Nurzed;Park, Dong-Joo
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.245-247
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    • 2012
  • We know that JPEG image format is one of the most popular image formats in the digital area and distribution of digital photographic drawing it is interested frequently in certain types of forensic investigation. In most case, corrupted images are shown gaudiness with the boundary of the corrupted parts. In the paper, we propose a technique to carve correct JPEG images using transformation method and the approach can be used for JPEG image file carving tool development.

Feasibility Study on the Use of Liposomes for Detecting Food-borne Pathogenic Bacteria (식중독 세균 검출에 있어서 리포좀의 이용 가능성)

  • 김명희;김왕준;신원선;손동화;차성관
    • Food Science of Animal Resources
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    • v.23 no.3
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    • pp.278-283
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    • 2003
  • Feasibility tests on using liposomes for detecting food-borne pathogenic bacteria were studied with E. coli 0157:H7 as a model analyte. lmmunoliposomes, whose surface was conjugated with anti-E. coli 0157:H7 IgG and which encapsulated the marker dye, sulforhodamine B, were used for the detection label. Among the feasibility tests, the first test was to use a test-strip on which antibodies to anti-E. coli O157:H7 IgG were immobilized. In this format, immunoliposomes that did not bind to E. coli O157:H7 in sample were captured and then exhibited a visible signal which was inversely related with the number of E. coli O157:H7 in sample. The second test was a direct liposome assay followed by immunomagnetic separation. In this format, immunoliposomes which were bound to E. coli O157:H7 were lysed with detergent and produced a signal which was proportionally related with the number of E. coli O157:H7 in sample. The results from both formats indicate that liposomes can be utilized as a detection label.