• Title/Summary/Keyword: early detection 알고리즘

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Battery thermal runaway cell detection using DBSCAN and statistical validation algorithms (DBSCAN과 통계적 검증 알고리즘을 사용한 배터리 열폭주 셀 탐지)

  • Jingeun Kim;Yourim Yoon
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.569-582
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    • 2023
  • Lead-acid Battery is the oldest rechargeable battery system and has maintained its position in the rechargeable battery field. The battery causes thermal runaway for various reasons, which can lead to major accidents. Therefore, preventing thermal runaway is a key part of the battery management system. Recently, research is underway to categorize thermal runaway battery cells into machine learning. In this paper, we present a thermal runaway hazard cell detection and verification algorithm using DBSCAN and statistical method. An experiment was conducted to classify thermal runaway hazard cells using only the resistance values as measured by the Battery Management System (BMS). The results demonstrated the efficacy of the proposed algorithms in accurately classifying thermal runaway cells. Furthermore, the proposed algorithm was able to classify thermal runaway cells between thermal runaway hazard cells and cells containing noise. Additionally, the thermal runaway hazard cells were early detected through the optimization of DBSCAN parameters using a grid search approach.

Possibility for Early Detection on Crop Water Stress Using Plural Vegetation Indices (작물 가뭄스트레스 조기탐지 가능성 타진을 위한 서로 다른 종류의 식생지수 활용)

  • Moon, Hyun-Dong;Jo, Euni;Cho, Yuna;Kim, Hyunki;Kim, Bo-kyeong;Lee, Yuhyeon;Jeong, Hoejeong;Kwon, Dongwon;Cho, Jaeil
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1573-1579
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    • 2022
  • The irrigation schedule system using early detection of crop water stress is required to maintain crop production and save water resource. However, because previous studies focused on the crop under stress dominant condition, the crop physiological properties, which can be measured by remote sensing technique, on early crop water stress condition are not well known. In this study, the canopy temperature, MERIS Terrestrial Chlorophyll Index (MTCI), and Chlorophyll/Carotenoid Index (CCI) are observed on the soybeans given the early water stress using thermal imaging camera and hyperspectral camera. The increased canopy temperature and decreased MTCI are consist with the previous studies which are for the crop of stress dominant-sign. However, the CCI was increased contrary to expectation because it may faster the reduction of carotenoid than chlorophyll in early stage. These behaviors will be useful to not only develop the irrigation system but also using the early detection of crop stress.

Estimation of the Central Aortic Pulse using Transfer Function and Improvement of an Augmentation Point Detection Algorithm (전달함수를 이용한 대동맥 맥파 추정 및 증강점 검출 알고리즘 개선에 관한 연구)

  • Im, Jae-Joong
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.45 no.3
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    • pp.68-79
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    • 2008
  • Aortic AIx(augmentation index) has been used to measure aortic stiffness quantitatively and even to evaluate ventricular load. However, in order to calculate aortic AIx catheters should be inserted to the subjects' artery, which hampers its clinical usage. To overcome such limitation, aortic AIx has been indirectly calculated by estimating aortic pressure wave from the peripheral arterial pulse by applying transfer functions. In this study, central aortic pressure waves using Millar catheter and radial artery pulse waves using tonometry pressure sensor were measured to establish transfer functions for an estimation of central aortic pressure waves from radial artery pulse waves. Also, an algorithm which detects augmentation point for the calculation of AIx were developed. Developed algorithm for the detection of augmentation point gradually increases the differential order to detect inflection point rather than detects the distinctive point that appears after a specific time. Transfer functions were established using 10th order ARX model and were verified for the stability of the transfer function through residual analysis. Evaluation of an algorithm for the detection of augmentation point were performed by comparing the augmentation points obtained from developed algorithm with the known augmentation points synthesized in various conditions. In addition, developed algorithm for the AIx is proved to provide more accurate results than the ones developed by previous studies. The significance of the study was in two folds. Firstly, the results could provide the basis for the measurement of aortic stiffness using easily-measurable radial artery pulse waves, and secondly, extension of the study may enable the early diagnosis of various vascular diseases.

Development of Kid Height Measurement Application based on Image using Computer Vision (컴퓨터 비전을 이용한 이미지 기반 아이 키 측정 애플리케이션 개발)

  • Yun, Da-Yeong;Moon, Mi-Kyeong
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.1
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    • pp.117-124
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    • 2021
  • Among growth disorders, 'Short Stature' can be improved through rapid diagnosis and treatment, and for that, it is important to detect early'Short Stature'. It is recommended to measure the height steadily for early detection of 'Short Stature' and checking the kid's growth process, but existing height measurement methods have problems such as time and space limitations, cost occurrence, and difficulty in keeping records. So in this paper, we proposed an 'Development of Kid Height Measurement Application based on Image using computer vision' method using smart phones, a medium that is highly accessible to people. In images taken through a smartphone camera, the kid's height is measured using algorithms from OpenCV, a computer vision library, and the measured heights were printed on the screen through 'a comparison graph with the standard height by gender and age' and 'list by date', made possible to check the kid's growth process. It is expected to measure height anytime, anywhere without time and space limitations and costs through this proposed method, and it is expected to help early detection of 'Short Stature' and other disorder through steady height measurement and confirmation of growth process.

Fast Coding Mode Decision for Temporal Scalability in H.264/AVC Scalable Extension (시간적 계층에서의 스케일러블 부호화 고속 모드 결정 방법)

  • Jeon, Byeungwoo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.6 no.2
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    • pp.71-75
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    • 2013
  • Recently proliferating heterogeneous multimedia service environments should be able to deal with many different transmission speeds, image sizes, or qualities of video. However, not many existing video compression standards satisfy those necessities. To satisfy the functional requirements, the standardization of the H.264/AVC Scalable Extension (SE) technique has been recently completed. It is an extension of the H.264/AVC which can encode several image sizes and qualities at the same time as a single bitstream. To perform optimum mode decision, motion estimation is performed for all MB modes, and the RD costs are compared to identify an MB mode with the smallest RD cost. This increases computational complexity of H.264/AVC SE encoding. In this paper, we propose an early skip mode detection scheme to reduce candidate modes and suggest an algorithm of fast mode decision utilizing reference modes according to the mode history.

An Image Processing Mechanism for Disease Detection in Tomato Leaf (토마토 잎사귀 질병 감지를 위한 이미지 처리 메커니즘)

  • Park, Jeong-Hyeon;Lee, Sung-Keun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.5
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    • pp.959-968
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    • 2019
  • In the agricultural industry, wireless sensor network technology has being applied by utilizing various sensors and embedded systems. In particular, a lot of researches are being conducted to diagnose diseases of crops early by using sensor network. There are some difficulties on traditional research how to diagnose crop diseases is not practical for agriculture. This paper proposes the algorithm which enables to investigate and analyze the crop leaf image taken by image camera and detect the infected area within the image. We applied the enhanced k-means clustering method to the images captured at horticulture facility and categorized the areas in the image. Then we used the edge detection and edge tracking scheme to decide whether the extracted areas are located in inside of leaf or not. The performance was evaluated using the images capturing tomato leaves. The results of performance evaluation shows that the proposed algorithm outperforms the traditional algorithms in terms of classification capability.

Analysis of Elastic Wave Based Leakage Detection Technology Using Accelerometers (가속도계를 이용한 탄성파 기반 누수탐지 기술 분석)

  • Choi, Kwangmook;Lee, Hohyun;Shin, Gangwook;Hong, Sungtaek
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.9
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    • pp.1231-1240
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    • 2020
  • Water pipes are laid on the ground, making it impossible to visually detect leaks due to aging of pipes, and technology to detect leaks in pipes is mainly used to detect leaks in pipes by detecting leaks. In this paper, two accelerometers were attached to both ends of the constant water piping to calculate the time difference between the acquired data to detect leakage points. The leak test of piping was performed by installing valves at 4.3m, 8.6m, and 12.9m points on piping 17.2m, and changing the development rate of valves to 30% and 70%. Leakage can be detected for pressure drop in piping, which is 30% and 70% open valve. It is very important to detect leakage in the early stage, and it is judged that detection of the initial leak point from the algorithm applied in this paper will be possible.

Performance Analysis of Target Adapted RED Algorithm on TCP/IP based GEO Satellite Communication Network (TCP/IP 기반의 정지 위성 궤도 통신망에서 TARED 알고리즘 성능 분석)

  • 서진원;김덕년
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.6A
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    • pp.667-667
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    • 2004
  • We must design the buffer algorithm that protects traffic congestion and decreasing throughput at satellite communication network. It is important that buffer algorithm is satisfied with the good performance of transmission packet, responsibility of many connecting traffic and the QOS for connecting character. Old buffer algorithms are not the suitable algorithms when we have the satellite communication network environment. RED buffer algorithm is proposed by Floyd. It has a better performance than old buffer algorithm. But this algorithm is not well adapted a number of connecting TCP packet and changing network, so this algorithm has a bad performance on satellite communication network that is many of connecting user at same time. This paper propose the TARED(Target Adaptive RED). It has a good performance, adaptation and stability on satellite communication network and has not overflow and underflow of the buffer level.

Performance Analysis of Target Adapted RED Algorithm on TCP/IP based GEO Satellite Communication Network (TCP/IP 기반의 정지 위성 궤도 통신망에서 TARED 알고리즘 성능 분석)

  • 서진원;김덕년
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.6A
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    • pp.666-676
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    • 2004
  • We must design the buffer algorithm that protects traffic congestion and decreasing throughput at satellite communication network. It is important that buffer algorithm is satisfied with the good performance of transmission packet, responsibility of many connecting traffic and the 005 for connecting character. Old buffer algorithms are not the suitable algorithms when we have the satellite communication network environment. RED buffer algorithm is proposed by Floyd. It has a better performance than old buffer algorithm. But this algorithm is not well adapted a number of connecting TCP packet and changing network, so this algorithm has a bad Performance on satellite communication network that is many of connecting user at same time. This paper Propose the TARED(Target Adaptive RED). It has a good performance, adaptation and stability on satellite communication network and has not overflow and underflow of the buffer level.

Recent Progress in Multiplexed Detection of Biomarkers Based on Quantum Dots (양자점 기반 다중 바이오마커 검출법의 연구동향)

  • Kim, Yerin;Choi, Yu Rim;Kim, Bong-Geun;Na, Hyon Bin
    • Applied Chemistry for Engineering
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    • v.33 no.5
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    • pp.451-458
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    • 2022
  • Semiconductor quantum dots (QDs) are optical probes with excellent fluorescence properties. Therefore, they have been applied to various bio-medical imaging techniques and biosensors. Due to the unique optical characteristics of wide absorption and narrow fluorescence energy bands, multiple types of signals can be generated by the combination of fluorescence wavelengths from different QDs, which enables the simultaneous detection of more than two biomarkers. In this review, the advantages and applications of QDs and QD nanobeads (QBs) in multiple biomarker assays were described, and new developments or improvements in multiplexed biomarker detection techniques were summarized. In particular, recent reports were summarized, focusing on the design strategies in immunoassay construction and signal transducing materials for fluorescence-linked immunosorbent assays using QDs and immunochromatographic assays using QBs. New detection platforms will be developed for early diagnosis of diseases and other fields if multiplexed detection technologies of excellent accuracy and sensitivity are combined with artificial intelligence algorithms.