• 제목/요약/키워드: Wide Monitor

검색결과 253건 처리시간 0.034초

Assessment of Soil and Groundwater Contamination at Two Animal Carcass Disposal Sites (가축 사체 매몰지 주변 토양 및 지하수의 오염도 평가)

  • Kim, Kye-Hoon;Kim, Kwon-Rae;Kim, Hyuck-Soo;Lee, Goon-Taek;Lee, Keun-Hwa
    • Korean Journal of Soil Science and Fertilizer
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    • 제43권3호
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    • pp.384-389
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    • 2010
  • Outbreak of contagious diseases to livestock animals is becoming prevalent worldwide and consequently, tremendous numbers of the infected or culled stocks are buried on the ground as the most common disposal method. The buried animals can generate a wide range of detrimental components such as leachate, nutrient salts, and pathogenic bacteria, consequently contaminating the surround environment. This implies that regular investigations are required to monitor any possible detrimental environmental aspect occurred around burial sites. Therefore, the current study was conducted to investigate whether the soil and groundwater nearby the burial sites had been contaminated by the substances originated from the burial sites, which can be applied for the establishment of the ideal burial site construction design and post management scheme. For this, two different burial sites located in Cheonan and Pyeongtaek were selected. Cheonan and Pyeongtaek sites were constructed in 2004 and 2008, respectively and both contained dead poultry infected by avian influenza (AI). Soil and groundwater samples were collected around the sites followed by determination of the nutrient concentrations and bacteria (Salmonella, Camphylobacter, and Bacillus) existence in both soil and groundwater. Some of the soil samples showed higher EC, $NH_4$-N, $NO_3$-N concentration compared to those of the background (control) soils. Also the concentration of $NH_4$-N in some of the groundwater samples appeared to exceed the USEPA guideline value for drinking water (10 mg $L^{-1}$). These results indicated that the soil and groundwater were influenced by the burial site originated nutrients. In the soil, Bacillus was isolated in most soil samples while there were no detections of Salmonella and Camplylobacter. Due to the Bacillus existing mainly as a spore in the soils, it was considered that the frequent detection of Bacillus in the soil samples was attributed to the nutrients originated from the burial sites.

Vulnerability Analysis for Industrial Control System Cyber Security (산업제어시스템의 사이버보안을 위한 취약점 분석)

  • Kim, Do-Yeon
    • The Journal of the Korea institute of electronic communication sciences
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    • 제9권1호
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    • pp.137-142
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    • 2014
  • Industrial control system (ICS) is a computer based system which are typically used in nation-wide critical infra-structure facilities such as electrical, gas, water, wastewater, oil and transportation. In addition, ICS is essentially used in industrial application domain to effectively monitor and control the remotely scattered systems. The highly developed information technology (IT) and related network techniques are continually adapted into domains of industrial control system. However, industrial control system is confronted significant side-effects, which ICS is exposed to prevalent cyber threats typically found in IT environments. Therefore, cyber security vulnerabilities and possibilities of cyber incidents are dramatically increased in industrial control system. The vulnerabilities that may be found in typical ICS are grouped into Policy and Procedure, Platform, and Network categories to assist in determining optimal mitigation strategies. The order of these vulnerabilities does not necessarily reflect any priority in terms of likelihood of occurrence or severity of impact. Firstly, corporate security policy can reduce vulnerabilities by mandating conduct such as password usage and maintenance or requirements for connecting modems to ICS. Secondly, platfom vulnerabilities can be mitigated through various security controls, such as OS and application patching, physical access control, and security software. Thirdly, network vulnerabilities can be eliminated or mitigated through various security controls, such as defense-in-depth network design, encrypting network communication, restricting network traffic flows, and providing physical access control for network components.

Methodology for Vehicle Trajectory Detection Using Long Distance Image Tracking (원거리 차량 추적 감지 방법)

  • Oh, Ju-Taek;Min, Joon-Young;Heo, Byung-Do
    • International Journal of Highway Engineering
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    • 제10권2호
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    • pp.159-166
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    • 2008
  • Video image processing systems (VIPS) offer numerous benefits to transportation models and applications, due to their ability to monitor traffic in real time. VIPS based on a wide-area detection algorithm provide traffic parameters such as flow and velocity as well as occupancy and density. However, most current commercial VIPS utilize a tripwire detection algorithm that examines image intensity changes in the detection regions to indicate vehicle presence and passage, i.e., they do not identify individual vehicles as unique targets. If VIPS are developed to track individual vehicles and thus trace vehicle trajectories, many existing transportation models will benefit from more detailed information of individual vehicles. Furthermore, additional information obtained from the vehicle trajectories will improve incident detection by identifying lane change maneuvers and acceleration/deceleration patterns. However, unlike human vision, VIPS cameras have difficulty in recognizing vehicle movements over a detection zone longer than 100 meters. Over such a distance, the camera operators need to zoom in to recognize objects. As a result, vehicle tracking with a single camera is limited to detection zones under 100m. This paper develops a methodology capable of monitoring individual vehicle trajectories based on image processing. To improve traffic flow surveillance, a long distance tracking algorithm for use over 200m is developed with multi-closed circuit television (CCTV) cameras. The algorithm is capable of recognizing individual vehicle maneuvers and increasing the effectiveness of incident detection.

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Detection of Red Sea Bream Iridovirus (RSIV) from marine fish in the Southern Coastal Area and East China Sea (남.서해안과 동중국해 자연산 어류에서 Red Sea Bream Iridovirus (RSIV)의 검출)

  • Lee, Wol-La;Kim, Seok-Ryel;Yun, Hyun-Mi;Kitamura, Shin Ichi;Jung, Sung-Ju;Oh, Myung-Joo
    • Journal of fish pathology
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    • 제20권3호
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    • pp.211-220
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    • 2007
  • Red sea bream iridovirus disease (RSIVD) cause massive economic losses in marine aquaculture industry in Korea. The causative agent of this disease (RSIV) infects a wide range of fish species. The aims of this study were to monitor RSIV in wild marine fishes and to give critical information for controling the disease through prophylactic methods. Prevalence of the viral disease, geological distribution and reservoir of the virus were investigated using wild marine fishes captured in southern coast and east china sea for two years. (Polymerase Chain Reaction) PCR results showed that RSIV were detected in 39 (24.3%) out of 160 fish. MCP gene sequences of viral strains isolated in this study were closely related to that of a reference strain, red seabream-K, belonging to Megalocytivirus subgroup Ⅲ. The results suggest that some of wild marine fishes are RSIV carriers and may spread the pathogen directly to fish farmed in coastal area.

Methodology to Apply Low Spatial Resolution Optical Satellite Images for Large-scale Flood Mapping (대규모 홍수 매핑을 위한 저해상도 광학위성영상의 활용 방법)

  • Piao, Yanyan;Lee, Hwa-Seon;Kim, Kyung-Tak;Lee, Kyu-Sung
    • Korean Journal of Remote Sensing
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    • 제34권5호
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    • pp.787-799
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    • 2018
  • Accurate and effective mapping is critical step to monitor the spatial distribution and change of flood inundated area in large scale flood event. In this study, we try to suggest methods to use low spatial resolution satellite optical imagery for flood mapping, which has high temporal resolution to cover wide geographical area several times per a day. We selected the Sebou watershed flood in Morocco that was occurred in early 2010, in which several hundred $km^2$ area of the Gharb lowland plain was inundated. MODIS daily surface reflectance product was used to detect the flooded area. The study area showed several distinct spectral patterns within the flooded area, which included pure turbid water and turbid water with vegetation. The flooded area was extracted by thresholding on selected band reflectance and water-related spectral indices. Accuracy of these flooding detection methods were assessed by the reference map obtained from Landsat-5 TM image and qualitative interpretation of the flood map derived. Over 90% of accuracies were obtained for three methods except for the NDWI threshold. Two spectral bands of SWIR and red were essential to detect the flooded area and the simple thresholding on these bands was effective to detect the flooded area. NIR band did not play important role to detect the flooded area while it was useful to separate the water-vegetation mixed flooded classes from the purely water surface.

CHANGING THE ANIMAL WORLD WITH NIR : SMALL STEPS OR GIANT LEAPS\ulcorner

  • Flinn, Peter C.
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1062-1062
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    • 2001
  • The concept of “precision agriculture” or “site-specific farming” is usually confined to the fields of soil science, crop science and agronomy. However, because plants grow in soil, animals eat plants, and humans eat animal products, it could be argued (perhaps with some poetic licence) that the fields of feed quality, animal nutrition and animal production should also be considered in this context. NIR spectroscopy has proved over the last 20 years that it can provide a firm foundation for quality measurement across all of these fields, and with the continuing developments in instrumentation, computer capacity and software, is now a major cog in the wheel of precision agriculture. There have been a few giant leaps and a lot of small steps in the impact of NIR on the animal world. These have not been confined to the amazing advances in hardware and software, although would not have occurred without them. Rapid testing of forages, grains and mixed feeds by NIR for nutritional value to livestock is now commonplace in commercial laboratories world-wide. This would never have been possible without the pioneering work done by the USDA NIR Forage Research Network in the 1980's, following the landmark paper of Norris et al. in 1976. The advent of calibration transfer between instruments, algorithms which utilize huge databases for calibration and prediction, and the ability to directly scan whole grains and fresh forages can also be considered as major steps, if not leaps. More adventurous NIR applications have emerged in animal nutrition, with emphasis on estimating the functional properties of feeds, such as in vivo digestibility, voluntary intake, protein degradability and in vitro assays to simulate starch digestion. The potential to monitor the diets of grazing animals by using faecal NIR spectra is also now being realized. NIR measurements on animal carcasses and even live animals have also been attempted, with varying degrees of success, The use of discriminant analysis in these fields is proving a useful tool. The latest giant leap is likely to be the advent of relatively low-cost, portable and ultra-fast diode array NIR instruments, which can be used “on-site” and also be fitted to forage or grain harvesters. The fodder and livestock industries are no longer satisfied with what we once thought was revolutionary: a 2-3 day laboratory turnaround for fred quality testing. This means that the instrument needs to be taken to the samples rather than vice versa. Considerable research is underway in this area, but the challenge of calibration transfer and maintenance of instrument networks of this type remains. The animal world is currently facing its biggest challenges ever; animal welfare, alleged effects of animal products on human health, environmental and economic issues are difficult enough, but the current calamities of BSE and foot and mouth disease are “the last straw” NIR will not of course solve all these problems, but is already proving useful in some of these areas and will continue to do so.

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Paper-Based Neuraminidase Assay Sensor for Detection of Influenza Viruses (인플루엔자 바이러스 검출을 위한 종이 기반 neuraminidase 효소 활성 평가 센서 개발)

  • Hwang, Cheol-hwan;Jeong, Seong-Geun;Park, Han-Kyu;Lee, Chang-Soo;Kim, Yun-Gon
    • Korean Chemical Engineering Research
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    • 제54권3호
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    • pp.380-386
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    • 2016
  • In this study, we described a paper-based neuraminidase assay sensor (PNAS) which can be applied to detect the infection by influenza viruses. The PNAS was designed and manufactured to quantitatively identify the levels of neuraminidase in the sample, which is based on colorimetric analysis using the X-Neu5Ac substrate. The limit of detection of the PNAS was determined as 0.004 U/mL of neuraminidase. According to the amount of neuraminidase in human serum, the PNAS could monitor the enzyme activity with a good linearity ($R^2$ > 0.99). In addition, the initial performance of the PNAS has been maintained up to 70 days in the $4^{\circ}C$. Finally, we demonstrated whether the Michaelis-Menten kinetics is applied to the PNAS, which can show the reliability of the enzyme reactions. The kinetic studies indicated that the PNAS provides the good condition for enzyme reactions ($K_m=8.327{\times}10^{-3}M$), but they were performed on paper chip nonetheless. The paper-based neuraminidase assay sensor may be useful in a wide range of rapid and safe detection of influenza virus.

APPLICATION OF HF COASTAL OCEAN RADAR TO TSUNAMI OBSERVATIONS

  • Heron, Mal;Prytz, Arnstein;Heron, Scott;Helzel, Thomas;Schlick, Thomas;Greenslade, Diana;Schulz, Eric
    • Proceedings of the KSRS Conference
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    • 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume I
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    • pp.34-37
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    • 2006
  • When tsunami waves propagate across open ocean they are steered by Coriolis force and refraction due to gentle gradients in the bathymetry on scales longer than the wavelength. When the wave encounters steep gradients at the edges of continental shelves and at the coast, the wave becomes non-linear and conservation of momentum produces squirts of surface current at the head of submerged canyons and in coastal bays. HF coastal ocean radar is well-conditioned to observe the current bursts at the edge of the continental shelf and give a warning of 40 minutes to 2 hours when the shelf is 50-200km wide. The period of tsunami waves is invariant over changes in bathymetry and is in the range 2-30 minutes. Wavelengths for tsunamis (in 500-3000 m depth) are in the range 8.5 to over 200 km and on a shelf where the depth is about 50 m (as in the Great Barrier Reef) the wavelengths are in the range 2.5 - 30 km. It is shown that the phased array HF ocean surface radar being deployed in the Great Barrier Reef (GBR) and operating in a routine way for mapping surface currents, can resolve surface current squirts from tsunamis in the wave period range 20-30 minutes and in the wavelength range greater than about 6 km. There is a trade-off between resolution of surface current speed and time resolution. If the radar is actively managed with automatic intervention during a tsunami alert period (triggered from the global seismic network) then it is estimated that the time resolution of the GBR radar may be reduced to about 2 minutes, which corresponds to a capability to detect tsunamis at the shelf edge in the period range 5-30 minutes. It is estimated that the lower limit of squirt velocity detection at the shelf edge would correspond to a tsunami with water elevation of less than 5 cm in the open ocean. This means that the GBR HF radar is well-conditioned for use as a monitor of small and medium scale tsunamis, and has the potential to contribute to the understanding of tsunami genesis research.

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A Performance and Change Management Based Method for Developing e-Government Enterprise Architecture (전자정부 엔터프라이즈 아키텍처 도입을 위한 성과 및 변화관리 기반의 개발 방법)

  • Seo, Kyeong-Seog;Ahn, Sang-Im;Chong, Ki-Won
    • The Journal of Society for e-Business Studies
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    • 제11권4호
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    • pp.1-20
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    • 2006
  • Many government offices have been proceeding a development of Enterprise Architecture(EA) according to apply Government-wide Enterprise Architecture'. Each office and working-level officials have had a hard time because of no guides related to a EA development method such as the Framework, Standards, Principle, Reference Model, Etc. This paper propose a method for developing e-Government Enterprise Architecture considered a characteristic of public institutes through analyzing existing cases. The method for development e-Government EA includes the EA Performance Management Model to monitor objectively each office's long-term business promotion because the e-Government EA development is a job of long duration and cooperation with many institutes. This method also combines the EA Change Management Activities for the officials to improve general knowledge about EA's idea and EA's value, etc. We show the EA case study of the Ministry of Government Administration and Home Affairs to demonstrate feasibility of our approach. As a result, public offices will carry out their BPR(Business Process Re-engineering) and ISP(Information Strategy Planning) more efficiently based on this EA development method.

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A Study of Measuring Traffic Congestion for Urban Network using Average Link Travel Time based on DTG Big Data (DTG 빅데이터 기반의 링크 평균통행시간을 이용한 도심네트워크 혼잡분석 방안 연구)

  • Han, Yohee;Kim, Youngchan
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • 제16권5호
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    • pp.72-84
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    • 2017
  • Together with the Big Data of the 4th Industrial Revolution, the traffic information system has been changed to an section detection system by the point detection system. With DTG(Digital Tachograph) data based on Global Navigation Satellite System, the properties of raw data and data according to processing step were examined. We identified the vehicle trajectory, the link travel time of individual vehicle, and the link average travel time which are generated according to the processing step. In this paper, we proposed a application method for traffic management as characteristics of processing data. We selected the historical data considering the data management status of the center and the availability at the present time. We proposed a method to generate the Travel Time Index with historical link average travel time which can be collected all the time with wide range. We propose a method to monitor the traffic congestion using the Travel Time Index, and analyze the case of intersections when the traffic operation method changed. At the same time, the current situation which makes it difficult to fully utilize DTG data are suggested as limitations.