• Title/Summary/Keyword: Real time observation

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Kuroshio Observation Program: Towards Real-Time Monitoring the Japanese Coastal Waters

  • Ostrovskii, Alexander;Kaneko, Arata;Stuart-Menteth, Alice;Takeuchi, Kensuke;Yamagata, Toshio;Park, Jae-Hun;Zhu, Xiao Hua;Gohda, Noriaki;Ichikawa, Hiroshi;Ichikawa, Kaoru;Isobe, Atsuhiko;Konda, Masanori;Umatani, Shin-Ichiro
    • Ocean and Polar Research
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    • v.23 no.2
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    • pp.141-160
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    • 2001
  • The challenge of predicting the Japanese coastal ocean motivated Frontier Observational Research System for Global Change (FORSGC) and the Japan Marine Science and Technology Center (JAMSTEC) to start a multiyear observational programme in the upstream Kuroshio in November 2000. This field effort, the Kuroshio Observation Program (KOP), should enable us to determine the barotropic and baroclinic components of the western boundary current system, thus, to better understand interactions of the currents with mesoscale eddies, the Kuroshio instabilities, and path bimodality. We, then, will be able to improve modeling predictability of the mesoscale, seasonal, and inter-annual processes in the midstream Kuroshio near the Japanese main islands by using this knowledge. The KOP is focused on an enhanced regional coverage of the sea surface height variability and the baroclinic structure of the mainstream Kuroshio in the East China Sea, the Ryukyu Current east of the Ryukyu's, and the Kuroshio recirculation. An attractive approach of the KOP is a development of a new data acquisition system via acoustic telemetry of the observational data. The monitoring system will provide observations for assimilation into extensive numerical models of the ocean circulation, targeting the real-time monitoring of the Japanese coastal waters.

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Tracking moving objects using particle filter and edge observation model (에지 관측 모델과 파티클 필터를 이용한 이동 객체 추적)

  • Kim, Hyoyeon;Kim, Kisang;Choi, Hyung-Il
    • Journal of Internet Computing and Services
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    • v.17 no.3
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    • pp.25-32
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    • 2016
  • In this paper, we propose a method that is tracking an object in real time using particle filter and the observation model with edge. First of all, the proposed method defines the object to be tracked in the initial frame. Then, it generates the edge observation model for the object to be tracked and a set of particles. It calculates the weight by comparing the average of the middle distance in eight-way of particle filter edge model with that in edge observation model, and then updates the weight with the calculated value. After resampling particles using the updated weights, it estimates the current location of the tracked object. Finally, this paper demonstrates the performance of the stable tracking through comparison with the existing method by using a number of experimental data.

A modification of the rip current warning system utilizing real-time observations: a database function of likelihood distributions (실시간 관측정보를 이용한 이안류 경보체계 개선 연구: 발생정도 DB함수의 활용)

  • Choi, Junwoo
    • Journal of Korea Water Resources Association
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    • v.55 no.10
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    • pp.843-854
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    • 2022
  • For the rip current warning system to reduce rip-current accidents, the implementation method producing the risk index was modified. To produce fast response from the warning system based on real-time observations, the method employed the numerical results (i.e., rip current likelihoods according to the possible scenario) obtained in advance. In this study, instead of using the empirical curve-fitting functions of the previous method, the present modification utilized two-dimensional distributions (i.e., wave height and period, wave height and tidal elevation, wave height and direction, wave height and spreading of frequency-directional spectrum) of rip current likelihoods stacked in a database of the system. The wave and tidal observations in 2021 at the Haeundae coast were applied to the modified system, and its performances at several real events recorded in CCTV images were presented.

Development of Real-time PCR Assay Based on Hydrolysis Probe for Detection of Epichloë spp. and Toxic Alkaloid Synthesis Genes

  • Lee, Ki-Won;Woo, Jae Hoon;Song, Yowook;Rahman, Md Atikur;Lee, Sang-Hoon
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.42 no.3
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    • pp.201-207
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    • 2022
  • Fescues, which are widely cultivated as grasses and forages around the world, are often naturally infected with the endophyte, Epichloë. This fungus, transmitted through seeds, imparts resistance to drying and herbivorous insects in its host without causing any external damage, thereby contributing to the adaptation of the host to the environment and maintaining a symbiosis. However, some endophytes, such as E. coenophialum synthesize ergovaline or lolitrem B, which accumulate in the plant and impart anti-mammalian properties. For example, when livestock consume excessive amounts of grass containing toxic endophytes, problems associated with neuromuscular abnormalities, such as convulsions, paralysis, high fever, decreased milk production, reproductive disorders, and even death, can occur. Therefore, pre-inoculation with non-toxic endogenous fungi or management with endophyte-free grass is important in preventing damage to livestock and producing high-quality forage. To date, the diagnosis of endophytes has been mainly performed by observation under a microscope following staining, or by performing an immune blot assay using a monoclonal antibody. Recently, the polymerase chain reaction (PCR)-based molecular diagnostic method is gaining importance in the fields of agriculture, livestock, and healthcare given the method's advantages. These include faster results, with greater accuracy and sensitivity than those obtained using conventional diagnostic methods. For the diagnosis of endophytes, the nested PCR method is the only available option developed; however, it is limited by the fact that the level of toxic alkaloid synthesis cannot be estimated. Therefore, in this study, we aimed to develop a triplex real-time PCR diagnostic method that can determine the presence or absence of endophyte infection using DNA extracted from seeds within 1 h, while simultaneously detecting easD and LtmC genes, which are related to toxic alkaloid synthesis. This new method was then also applied to real field samples.

Development of MATLAB GUI Based Software for Generating GPS RINEX Observation File (MATLAB GUI 기반 GPS RINEX 관측 파일 생성 소프트웨어의 개발)

  • Kim, Dong-uk;Yun, Ho;Han, Deok-hwa;Jang, Joo-young;Kee, Chang-don;So, Hyoung-min;Lee, Ki-hoon;Jang, Jae-gyu
    • Journal of Advanced Navigation Technology
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    • v.19 no.4
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    • pp.299-304
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    • 2015
  • This paper introduces development of the MATLAB GUI based software for generating GPS RINEX observation file. The purpose of this software is to generate GPS measurements of reference station or dynamic user, which are similar to the real GPS receiver data, accurately and efficiently. This software includes two data generation modes. One is Precision mode which generates GPS measurements as accurate as possible using post-processing data. The other is Real-time mode which generates GPS measurements using GPS error modeling technique. GPS error sources are calculated on the basis of each data generation mode, and L1/L2 pseudorange, L1/L2 carrier phase, and Doppler measurements are produced. These generated GPS measurements are recorded in the RINEX observation version 3.0 file. Using received GPS data at real reference station, we analyzed three items to verify software reliability; measurement bias, rate of change, and noise level. Consequently, RMS error of measurement bias is about 0.7 m, and this verification results demonstrate that our software can generate relatively exact GPS measurements.

Deep Unsupervised Learning for Rain Streak Removal using Time-varying Rain Streak Scene (시간에 따라 변화하는 빗줄기 장면을 이용한 딥러닝 기반 비지도 학습 빗줄기 제거 기법)

  • Cho, Jaehoon;Jang, Hyunsung;Ha, Namkoo;Lee, Seungha;Park, Sungsoon;Sohn, Kwanghoon
    • Journal of Korea Multimedia Society
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    • v.22 no.1
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    • pp.1-9
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    • 2019
  • Single image rain removal is a typical inverse problem which decomposes the image into a background scene and a rain streak. Recent works have witnessed a substantial progress on the task due to the development of convolutional neural network (CNN). However, existing CNN-based approaches train the network with synthetically generated training examples. These data tend to make the network bias to the synthetic scenes. In this paper, we present an unsupervised framework for removing rain streaks from real-world rainy images. We focus on the natural phenomena that static rainy scenes capture a common background but different rain streak. From this observation, we train siamese network with the real rain image pairs, which outputs identical backgrounds from the pairs. To train our network, a real rainy dataset is constructed via web-crawling. We show that our unsupervised framework outperforms the recent CNN-based approaches, which are trained by supervised manner. Experimental results demonstrate that the effectiveness of our framework on both synthetic and real-world datasets, showing improved performance over previous approaches.

Multi-purpose System for Transmitting Images/voices Based on MPEG-4 Streaming (MPEG-4 스트리밍 기반의 다목적 영상/음성 전송 시스템)

  • 박성욱;황수철;박종욱
    • Journal of Korea Society of Industrial Information Systems
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    • v.6 no.2
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    • pp.47-53
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    • 2001
  • Real-time multimedia transmit services like internet broadcasting, web-based education, chatting, conference, circumference observation etc. by using internet are given a great deal of weight on most recently internet services. In these way, various internet services are presented and there applications are also gradually spreaded because of improvement MPEG and streaming processing techniques. But currently internet service is a development of system which has independent function of above services. And a research and development of system which have a multipurpose internet service are insufficiency. In this paper, we design and develop system(RealCam SUN A/V) for transmitting images and voices based on MPEG4 streaming. As a result of our research, it made possible to transmit images with 15 frame/sec in 160×120 frame size at 56Kbps and 30 frame/sec in 640×480 frame size at 512Kbps. And also we can apply this system as multipurpose function to circumference observation and internet broadcasting etc., by transmitting voices, images and control signal simultaneously.

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Implementation of Video Transfer with TCP-friendly Rate Control Protocol

  • Miyabayashi, Masaki;Wakamiya, Naoki;Murata, Masayuki;Miyahara, Hideo
    • Proceedings of the IEEK Conference
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    • 2000.07a
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    • pp.117-120
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    • 2000
  • As the use of real-time multimedia applications increases, a considerable amount of “greedy” UDP traffic would easily dominate network bandwidth and packet loss. As a result, bandwidth available to TCP connections is oppressed and their performance extremely deteriorates. In or-der that both TCP and UDP sessions fairly co-exist in the Internet, it is vital that we consider the fairness among both protocols. In this work, we implement a “TCP-friendly” rate control mechanism suitable to video applications and con-sider its applicability to a real system through observation of the video quality at the receiver and the connection state. It is shown that we can achieve high-quality and stable video transfer fairly sharing the network bandwidth with TCP by applying our rate control at a control interval of 32 times as long as RTT.

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A Study on the Design and Implementation of Charge and Discharge-Tester for Capacitors (콘덴서 양부판정용 충·방전 시험기 설계와 구현에 관한 연구)

  • Moon, Jong-Hyun;Kim, Geum-Soo;Park, Jae-Wook;Seo, Chul-Sik;Kim, Dong-Hee
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.24 no.9
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    • pp.71-78
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    • 2010
  • The existing capacitor-testers could only judge the condition of capacitor is normal or abnormal, and could not inform the real characteristics of the tested capacitors. In this research, it has designed the real-time observation of the new capacitor in charge and discharge tester for showing capacitor conditions and classification through wide voltages by regular cycle-tests. And proposed the quality classification algorithm of capacitors for more simple and practical, and approve them by test.

Adaptive Reconstruction of NDVI Image Time Series for Monitoring Vegetation Changes (지표면 식생 변화 감시를 위한 NDVI 영상자료 시계열 시리즈의 적응 재구축)

  • Lee, Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.25 no.2
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    • pp.95-105
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    • 2009
  • Irregular temporal sampling is a common feature of geophysical and biological time series in remote sensing. This study proposes an on-line system for reconstructing observation image series including bad or missing observation that result from mechanical problems or sensing environmental condition. The surface parameters associated with the land are usually dependent on the climate, and many physical processes that are displayed in the image sensed from the land then exhibit temporal variation with seasonal periodicity. An adaptive feedback system proposed in this study reconstructs a sequence of images remotely sensed from the land surface having the physical processes with seasonal periodicity. The harmonic model is used to track seasonal variation through time, and a Gibbs random field (GRF) is used to represent the spatial dependency of digital image processes. In this study, the Normalized Difference Vegetation Index (NDVI) image was computed for one week composites of the Advanced Very High Resolution Radiometer (AVHRR) imagery over the Korean peninsula, and the adaptive reconstruction of harmonic model was then applied to the NDVI time series from 1996 to 2000 for tracking changes on the ground vegetation. The results show that the adaptive approach is potentially very effective for continuously monitoring changes on near-real time.