• Title/Summary/Keyword: Data surveillance

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A GIS-Based Mapping to Identify Locations at Risk for Highly Pathogenic Avian Influenza Virus Outbreak in Korea (지리정보시스템 기반의 고병원성 조류인플루엔자 발생 위험지도 구축)

  • Lee, Gyoungju;Pak, Son-Il
    • Journal of Veterinary Clinics
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    • v.34 no.2
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    • pp.146-151
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    • 2017
  • Six major outbreaks of highly pathogenic avian influenza (HPAI) occurred from 2003 to 2016 in Korea. Epidemiological investigations of each outbreak revealed that migratory birds were the primary source of the HPAI virus. During the last five years, the geographic transmission pattern of domestic HPAI seems to have extended from local to nationwide; therefore, it is necessary to identify specific locations in which poultry farms are at elevated risk for HPAI outbreak to enable targeted surveillance and other mitigation strategies. Here, a geographical information system (GIS)-based analysis was used to identify geographic areas at high risk for future HPAI incidents in Korea based on historical outbreak data collected between December 2003 and April 2016. To accomplish this, seven criteria were used to identify areas at high-risk for HPAI occurrence. The first three criteria were based on defined spatial criteria buffering of 200 bird migration sites to some defined extents and the historical incidence of HPAI outbreaks at the buffering sites. The remaining criteria were based on combined attribute information such as number of birds or farms at district levels. Based on the criteria established for this study, the most-likely areas at higher risk for HPAI outbreak were located in Chungcheong, Jeolla, Gyeonggi, and Gyeongnam provinces, which are densely populated poultry regions considered major poultry-production areas that are located along bird migration sites. The proportion of areas at risk for HPAI occurrence ranged from 4.5% to 64.9%. For the worst criteria, all nine provinces, including Jeju Island, were found to be at risk of HPAI. The results of this study indicate that the number of poultry farms at risk for HPAI outbreaks is largely underestimated by current regulatory risk assessment procedures conducted for biosecurity authorization. The HPAI risk map generated in this study will enable easy use of information by policy makers to identify surveillance zones and employ targeted surveillance to reduce the impact of HPAI transmission.

Status of Illegal Hazardous Information for Chemical on Internet - Monitoring Cases of Chemical Cyber Surveillance - (인터넷 상 화학물질 불법 유해정보 현황 고찰 - 화학물질 사이버감시단 신고 사례를 중심으로 -)

  • Hwang, Man Sik;Im, Ji Young;Jeon, Da Young;Song, Ki Bong;Lee, Sang Mok;Ryu, Ji Sung;Lee, Ji Ho
    • Korean Journal of Hazardous Materials
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    • v.6 no.2
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    • pp.13-22
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    • 2018
  • Recently, social crimes using chemicals at home and abroad are increasing. These chemicals are readily available in the internet. Therefore, the NICS(national institute of chemical safety) runs a 'Chemical Cyber Surveillance' to help the public take control of the internet and create a healthy cyberspace through voluntary participation of the public. The study analyzed more than 1,000 sites suspected illegal hazardous information or blocked among cyber surveillance 3,500 case reports in the past yeas. And, the number of illegal hazardous information reported in the past three years is analyzed by type and substance. They want to examine the characteristics of hazardous chemical information on the internet and use it as a basic data to establish illegal information management measures that spread over cyberspace.

Real-Time Change Detection Architecture Based on SOM for Video Surveillance Systems (영상 감시시스템을 위한 SOM 기반 실시간 변화 감지 기법)

  • Kim, Jongwon;Cho, Jeongho
    • The Journal of Korean Institute of Information Technology
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    • v.17 no.4
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    • pp.109-117
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    • 2019
  • In modern society, due to various accidents and crime threats committed to an unspecified number of people, individual security awareness is increasing throughout society and various surveillance techniques are being actively studied. Still, there is a decline in robustness due to many problems, requiring higher reliability monitoring techniques. Thus, this paper suggests a real-time change detection technique to complement the low robustness problem in various environments and dynamic/static change detection and to solve the cost efficiency problem. We used the Self-Organizing Map (SOM) applied as a data clustering technique to implement change detection, and we were able to confirm the superiority of noise robustness and abnormal detection judgment compared to the detection technique applied to the existing image surveillance system through simulation in the indoor office environment.

Ontology-based Context-aware Framework for Battlefield Surveillance Sensor Network System (전장감시 센서네트워크시스템을 위한 온톨로지 기반 상황인식 프레임워크)

  • Shon, Ho-Sun;Park, Seong-Seung;Jeon, Seo-In;Ryu, Keun-Ho
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.48 no.4
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    • pp.9-20
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    • 2011
  • Future warfare paradigm is changing to network-centric warfare and effects-based operations. In order to find first and strike the enemy in the battlefield, friendly unit requires real-time target acquisition, intelligence collection, accurate situation assessment, and timely decision. The rapid development in advanced sensor technology and wireless networks requires a significant change in operational concepts of the battlefield surveillance. In particular, the introduction of a battlefield surveillance sensor network system is a big challenge to the ground forces which have lack of automated information collection assets. Therefore this paper proposes an ontology-based context-aware framework for the battlefield surveillance sensor network system which is needed for early finding the enemy and visualizing the battlefield in the ground force operations. Compared with the performance of existing systems, the one of the proposed framework has shown highly positive results by applying the context systems evaluation method. The framework has also proven to be satisfactory by the structured evaluation method using device collaboration. Since the proposed ontology-based context-aware framework has a lot of advantages in terms of scalability and reusability, the ground force's reconnaissance and surveillance system can be widely applied to expand in the future. And, ontology-based model has some weak points such as ontology data size, processing time, and limitation of network bandwidth. However, these problems can be resolved by customizing properly to fit the mission and characteristics of the unit. Moreover, development of the next-generation communication infrastructure can expedite the intelligent surveillance and reconnaissance service and may be expected to contribute greatly to expanding the information capacity.

Characteristics of Occupational Skin Disease Reported by Surveillance System (감시체계를 통하여 보고된 직업성 피부질환의 특성에 관한 연구 - 사업장, 특수건강진단기관, 피부과의사의 보고사례를 중심으로 기술 -)

  • Kim, Hyoung-Ok;Lee, Jun-Young;Jung, Ho-Keun;Ahn, Yeon-Soon
    • Journal of Preventive Medicine and Public Health
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    • v.32 no.2
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    • pp.130-140
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    • 1999
  • Objectives: This study was carried out to estimate the magnitude of skin disease related to occupation and to find out the characteristics of it. Methods: We collected and analyzed the cases of occupational skin disease reported by surveillance system composed of doctors and nurses in 150 enterprises with dispensary or attacked hospital and physicians in 92 specific health examination institutes and 150 dermatologists from May to November, 1998. Results: Among members of surveillance system, 66 enterprises and 47 specific health examination institutes and 55 dermatologists reported 571 cases of occupational skin disease in 512 workers. Excepting 81 cases reported by dermatologists, We analyzed 490 cases reported by enterprises and specific health examination institutes. Among 490 cases, contact dermatitis was most common(368 cases, 75.1%) and the second was hyper or hypopigmentation(36 cases, 7.3%). When we analyzed the characteristics of workers with occupational contact dermatitis, male workers were 281 (79.2%) and female were 74(20.8%). 165 workers(64.5%) had chronic skin disease with repeated cure and relapse. 245 workers(72.5%) answered positively that their coworkers had similar skin disease. 27 workers(8.7%) experienced absence due to contact dermatitis related to occupation. To analyze the type of industries of workers with occupational contact dermatitis, automobile and trailer manufacturing industry was most common(105 cases, 29.6%) and the second was manufacturing industry for image, sound and communication equipment(55 cases, 15.5%). Organic solvent(183 cases, 46.7%) was the most common treating material of workers with contact dermatitis and the second was various kinds of chemicals(59cases, 15.1%). Conclusions: This is the first study using nationwide surveillance system to collect data of occupational skin disease. We found that many workers had skin disease related to occupation and characteristics of occupational skin disease were chronic and clustering. Therefore, we had to establish counterplan to manage occupational skin disease and to operate surveillance system to identify trends of occupational skin disease, continuously.

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Effective Compression of the Surveillance Video with Region of Interest (관심영역 구분을 통한 감시영상시스템의 효율적 압축)

  • Ko, Mi-Ae;Kim, Young-Mo;Koh, Kwang-Sik
    • The KIPS Transactions:PartB
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    • v.10B no.1
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    • pp.95-102
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    • 2003
  • In surveillance video system, there are many classes of images and some spatial regions are more important than other regions. The conventional compression method in this system have been compressed there full frames without classfying them depend on their important parts. To improve the accuracy of the image coding and deliver effective compression for the surveillance video system, it was necessary to separate the regions according to their importance. In this paper, we propose a new effective surveillance video image compression method. The proposed scheme defines importance based three-level region of interest block in a frame, such as background, motion object block, and the feature object block. A captured video image frame can be separated to these three different levels of block regions. And depends on the priority, each block can be modified and compressed in different resolution, compression ratio and qualify factor. Therefore, in surveillance video system, this algorithm not only reduces the image processing time and space, but also guarantees the Important image data in high quality to acquire the system's goal.

A Correlation Study of Surveillance Data and ATP Bioluminescence Assay for Verification of Hygienic Status in Major Hotels in Seoul (서울 시내 주요 호텔의 위생실태 조사와 ATP 결과의 상관 분석 연구)

  • Kim, Bo-Yeon;Song, Ha-Young;Park, In-Sook;Kim, Yong-Su;Lee, Yu-Si;Ha, Sang-Do
    • Journal of Food Hygiene and Safety
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    • v.24 no.3
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    • pp.277-284
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    • 2009
  • Currently food-borne disease is being increased at outdoor food services including hotels and restaurants. Speedy and convenient practical monitoring techniques to determine hygienic conditions are needed. This study was designed to verify correlation of direct ATP (Adenosine Tri-Phosphate) examination method using ATP bioluminescence and surveillance with check-list by inspector. Hygienic status of personal hygiene (hands), kitchen utensils (knives, chopping boards, kitchen towels, cap openers, food storage containers, and blade of slice machines), facilities and equipments (refrigerator handles, worktables, and sinks) in five major hotels in Seoul were examined. The result of personal hygiene of hotels was relatively better than other inspection items (46.6 points in personal hygiene, 40.2 points in kitchen utensils, 40.3 points in facilities & equipments). In ATP inspection, kitchen utensils and facilities & equipments were relatively clean comparing with personal hands data ($40.8{\pm}6.77\;RLU/cm^2$). After correlation analysis of surveillance in hygienic status points and ATP value, all results showed negative and high correlation. The surveillance data and ATP results investigating personal hygiene, kitchen utensils and facilities & equipments were highly correlated. The ATP examination method which shows real-time identification could be considered as an appropriate method to alternate current check-list dependent safety management in food services including hotels.

Feature Extraction using Discrete Wavelet Transform and Dynamic Time-Warped Algorithms in Wireless Sensor Networks for Barbed Wire Entanglements Surveillance (철조망 감시를 위한 무선 센서 네트워크에서 이산 웨이블릿 변환과 동적 시간 정합 알고리즘을 이용한 특징 추출)

  • Lee, Tae-Young;Cha, Dae-Hyun;Hong, Jin-Keun;Han, Kun-Hui;Hwang, Chan-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.4
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    • pp.1342-1347
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    • 2010
  • Various researches have been studied on WSN(wireless sensor network) for barbed wire entanglements surveillance applications such as industry facilities, security area, prison, military area, airport, etc. Currently, barbed wire entanglements surveillance is formed wire sensor network environment. Traditional wire sensor network guarantee high data transmission rate. Therefore, wire sensor network use fast fourier transform of data of high transmission rate for extraction of feature parameter. However, wireless sensor network in comparison with wire sensor network has very low data transmission rate. Therefore, wireless sensor network doesn't use fast fourier transform of wire sensor network for extraction of feature parameter. In this paper, proposed method use 1 level approximation coefficient of DTW(dynamic time-warped) algorithms based on DWT(discrete wavelet transform) for extraction of detection feature parameter and classification feature parameter for barbed wire entanglements surveillance. l level approximation coefficient have time information and frequency information of signal. Therefore, Dynamic time-warped algorithms based on discrete wavelet transform improve detection and classification of target rather than using energy of signal.

A Comprehensive Method to Impute Vehicle Trajectory Data Collected in Wireless Traffic Surveillance Environments (무선통신기반 교통정보수집체계하에서의 차량주행궤적정보 결측치 보정방안)

  • Yeon, Ji-Yun;Kim, Hyeon-Mi;O, Cheol;Kim, Won-Gyu
    • Journal of Korean Society of Transportation
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    • v.27 no.4
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    • pp.175-181
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    • 2009
  • Intelligent Transportation Systems(ITS) enables road users to enhance efficiency of their trips in a variety of traffic conditions. As a significant part of ITS, information communication technology among vehicles and between vehicles and infrastructure has been being developed to upgrade current traffic data collection technology through location-based traffic surveillance systems. A wider and detailed range of traffic data can be acquired with ease by the technology. However, its performance level falls with environmental impediments such as large vehicles, buildings, harsh weather, which often bring about wireless communication failure. For imputation of vehicle trajectory data discontinued by the failure, several potential existing methods were reviewed and a new method to complement them was devised. AIMSUN API(Application Programming Interface) software was utilized to simulate vehicle trajectories data and missing vehicle trajectories data was randomly generated for the verification of the method. The method was proven to yield more accurate and reliable traffic data than the existing ones.

China's Satellite Research and Development to Collect Electronic Signals for Marine Reconnaissance to Surrounding Nations (중국의 주변국 해양감시를 위한 전자신호 수집위성 연구개발)

  • Lee, Yongsik;Aom, Sangho;Lim, Jaesung
    • Journal of Satellite, Information and Communications
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    • v.12 no.3
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    • pp.54-62
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    • 2017
  • China has invested for military satellite technology development to construct the space-based surveillance system from existing land-based and aerostat surveillance system since 1960s to react rapidly for deployment of marine force of United States and surrounding nations in west Pacific, south China sea and Indian ocean. China has also launched about 40 the Yaogan military intelligence satellites series for EO, SAR and ELINT fields since 2006 after the required technique with several technical experiment satellites launch and operational test. ELINT satellites transmit data from satellite to earth station in real time with construction space-based network around it. Those data are simultaneously delivered to Anti-Ship Ballistic Missile(ASBM) connected land-based C4ISR network for marine target attack. Therefore China has enhanced surveillance and attack capability to the surrounding marine nations with space-based network around it. In the future, It is considered that China will increase accurate location search, signal processing and analysis ability through a further study on its technology.