• Title/Summary/Keyword: Coastal surveillance

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A Study of the Intelligent Coastal Surveillance System using EO/IR Vessel Image Classification (선박의 EO/IR 영상식별을 이용한 연안 감시 체계의 연구)

  • Jang, Won-Seok;Jung, Dong-Han;Kim, Joo-Yong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2018.05a
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    • pp.230-231
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    • 2018
  • Ports and coastal areas that serve as national corridors have threats such as smuggling ships, enemy infiltration ships and pirate ships. To prevent intrusion of intrusive vessels, a system is needed to continuously monitor the coastal area and detect their intrusion. However, it is difficult for surveillance personnel to identify threatened vessels while monitoring large coastal areas. In this paper, we propose a system that can monitor coastal and harbor area and automatically detect ships entering the Navigation Inhibit Area to generate alarms and classify the types of ships by image classification.

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A study on red tide surveillance system around the Korean coastal waters using GOCI (GOCI를 활용한 한반도 주변해역 적조 감시 체계 연구)

  • Shin, Jisun;Min, Jee-Eun;Ryu, Joo-Hyung
    • Korean Journal of Remote Sensing
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    • v.33 no.2
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    • pp.213-230
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    • 2017
  • The satellite-based red tide detection algorithms have been developed for specific occurrence waters and red tide species. However, it is essential to study the whole occurrence waters and various red tide species for quick and accurate surveillance of red tide around the Korean coastal waters. In thisstudy, the comprehensive analysesinvolve the spectral features of red tide areas and the suitability of the satellite-based red tide detection algorithms used with GOCI in the Korean coastal waters. As a result, the spectral characteristics were changed according to the chlorophyll content of red tide species and the turbidity of the waters where the red tide appeared. In addition, the previous red tide detection algorithm is applied to GOCI, and it is found that there is a limitation to the red tide area extraction as the existing threshold value. To overcome these limitations, red tide species were divided into two groups according to the difference of chlorophyll content and a system for red tide surveillance wassuggested. It is possible to distinguish between red tide and non-red tide area through five steps. As a result of applying to GOCI, the red tide was appropriately extracted from the previous algorithm based on red tide breaking news. If such a red tide surveillance system is used, it will be possible to efficiently monitor red tide by quick and accurate surveillance of the whole occurrence waters around the Korean and various red tide species.

A Methodology of AI Learning Model Construction for Intelligent Coastal Surveillance (해안 경계 지능화를 위한 AI학습 모델 구축 방안)

  • Han, Changhee;Kim, Jong-Hwan;Cha, Jinho;Lee, Jongkwan;Jung, Yunyoung;Park, Jinseon;Kim, Youngtaek;Kim, Youngchan;Ha, Jeeseung;Lee, Kanguk;Kim, Yoonsung;Bang, Sungwan
    • Journal of Internet Computing and Services
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    • v.23 no.1
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    • pp.77-86
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    • 2022
  • The Republic of Korea is a country in which coastal surveillance is an imperative national task as it is surrounded by seas on three sides under the confrontation between South and North Korea. However, due to Defense Reform 2.0, the number of R/D (Radar) operating personnel has decreased, and the period of service has also been shortened. Moreover, there is always a possibility that a human error will occur. This paper presents specific guidelines for developing an AI learning model for the intelligent coastal surveillance system. We present a three-step strategy to realize the guidelines. The first stage is a typical stage of building an AI learning model, including data collection, storage, filtering, purification, and data transformation. In the second stage, R/D signal analysis is first performed. Subsequently, AI learning model development for classifying real and false images, coastal area analysis, and vulnerable area/time analysis are performed. In the final stage, validation, visualization, and demonstration of the AI learning model are performed. Through this research, the first achievement of making the existing weapon system intelligent by applying the application of AI technology was achieved.

Adaptive Real-Time Ship Detection and Tracking Using Morphological Operations

  • Arshad, Nasim;Moon, Kwang-Seok;Kim, Jong-Nam
    • Journal of information and communication convergence engineering
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    • v.12 no.3
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    • pp.168-172
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    • 2014
  • In this paper, we propose an algorithm that can efficiently detect and monitor multiple ships in real-time. The proposed algorithm uses morphological operations and edge information for detecting and tracking ships. We used smoothing filter with a $3{\times}3$ Gaussian window and luminance component instead of RGB components in the captured image. Additionally, we applied Sobel operator for edge detection and a threshold for binary images. Finally, object labeling with connectivity and morphological operation with open and erosion were used for ship detection. Compared with conventional methods, the proposed method is meant to be used mainly in coastal surveillance systems and monitoring systems of harbors. A system based on this method was tested for both stationary and non-stationary backgrounds, and the results of the detection and tracking rates were more than 97% on average. Thousands of image frames and 20 different video sequences in both online and offline modes were tested, and an overall detection rate of 97.6% was achieved.

Detection, Identification and Surveillance System Development of Illegal Fishing Vessels in Inshore Fishing Ground (연안 어장에서의 불법 조업 어선의 탐지, 식별 및 감시 시스템 개발)

  • LEE Dae-Jae;KIM Kwang-Sik
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.37 no.4
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    • pp.337-344
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    • 2004
  • A real-time surveillance system of the inshore fishing ground was constructed to identify and detect discrete targets, such as illegal fishing vessels. This paper describes measurements made with a combination of sensors, such as radar, CCTV camera, and GPS receivers, for monitoring the fishing activity of small vessels within the fishing limit zones of the inshore waters. The CCTV camera system was used to confirm detection and to classify the type of target. The location of legal vessels distributed in coastal waters was acquired from each GPS system of ships connected to commercial satellite communication network. The surveillance system was networked via LAN to one host PC with the use of electronic navigational charts (ENC) and a radar link. Radar Target Extractor (RTX) for radar signal processing can be remotely accessed and controlled on existing PC via the internet, from anywhere, at any time. Results are presented that demonstrate the effectiveness of the newly constructed fisheries monitoring system for conducting continuous surveillance of illegal fishing vessels in the inshore fishing ground. The identification of illegal fishing vessels was achieved by comparing radar positions of illegal fishing vessels exceeding the warning limits in the surveillance area with GPS position reports transmitted from legal fishing vessels, and the illegal fishing vessels were marked with red symbols on the ENC screen of a PC. The methods to track the activities of all vessels intruding or leaving the fishing limit zones also were discussed.

A Study on the Analysis Method of the Operations Effectiveness of the Joint Coastal Guard System Against Small Targets (소형표적에 대한 합동 해안경계시스템 작전효과 분석방법 연구)

  • Kim, Taeho;Han, Hyun Jin;Lee, Byeong-Ho;Shin, Young-Tae
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.2
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    • pp.59-66
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    • 2022
  • The Joint Coastal Guard System is composed of a maritime surveillance system and a anti-coastal infiltration system, and is a system in which the Navy is mainly responsible for the maritime and the Army is responsible for the coast. We analyzed the operations effectiveness of the joint coastal guard system, in which various weapon systems of the army and navy are operated in a complex way, to the extent to which successful operation is possible against small targets. The operations effectiveness analysis was conducted by defining the operations effectiveness by operation type, configuring the simulation environment using METT-T elements, establishing the assumptions of the simulation scenario, conducting the simulation and analyzing the simulation results by weather condition. The simulation tools used were NORAM and EADSIM. As a result of the operations effectiveness analysis, the joint coastal guard system currently in operation showed a significant difference in operational success depending on the size of the target and weather conditions. This research can be used as useful data for establishing an effective joint coastal guard system and conducting systematic guard operations.

A Study on the Next-Generation Coastal Guard System (차세대 해안경계시스템에 관한 연구)

  • Lee, Jang-Il;Shin, Eui-Soo;Cha, Ji-Eun
    • Maritime Security
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    • v.4 no.1
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    • pp.115-138
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    • 2022
  • The Korean military is preparing for successful manpower reduction using advanced science and technology, in addition to carrying out the initiative of the Defense Innovation 4.0. Accordingly, studies on core technologies related to defense reform have been conducted both internally and externally in the military, and the corresponding results have also been applied. Nevertheless, compared to the development of such technologies, it is considered necessary to have more preparation for the policies related to the operation of the newly introduced equipment. As for the placement of personnel and the organization of time in service (TIS) with respect to the operation of surveillance equipment, there has been a tendency to sustain the conventional practice. Therefore, this study intends to suggest the schemes for facilitating policy improvements in the operation of manpower and security regulations in the field of information for the purpose of introducing a successful next-generation coastal guard system. To do this, the approach of this study was focused on the policies for the operation of the guard system. This is in contrast to previous studies that centered on its equipment and technologies. In addition, how to efficiently operate the guard system was also studied in view of cognitive science by deriving the most efficient time for a person to execute surveillance through the monitor based on the previous studies.

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Distribution of Pathogenic Vibrios in the Aquatic Environment Adjacent to Coastal Areas of South Korea and Analysis of the Environmental Factors Affecting Their Occurrence (2016년도 국내 해양환경내 병원성 비브리오균의 분포 및 해양환경인자간의 상관성 분석)

  • Jeong, Young-Il;Myung, Go-Eun;Choi, Eun-Jin;Soh, Sang-Moon;Park, Gi-Jun;Son, Tae-Jong
    • Journal of Environmental Health Sciences
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    • v.44 no.2
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    • pp.133-142
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    • 2018
  • Objectives: The pathogenic Vibrios genus denotes halophilic bacteria that are distributed in aquatic environments, including both sea and freshwater. Vibrio cholerae, Vibrio vulnificus, and Vibrio parahaemolyticus are the most important species since they can be potent human pathogens and leading causes of septicemia, wound infections, and seafood borne gastroenteritis. The recent emergence of a potential pandemic clone, V. cholera serotype O1 and the cholera outbreak in South Korea in 2016 indicates the importance of consistent surveillance of pathogenic Vibrio genus within coastal areas. Methods: The present study was undertaken to determine where and how vibrios live in the aquatic environment adjacent to coastal areas of South Korea. For this survey, a total of 838 samples were obtained at 35 different sites in South Korean coastal areas during the period from January 2016 to December 2016. Pathogenic vibrios was determined using the real-time PCR method, and its clones were isolated using three selective plating media. We also monitored changes in seawater and atmospheric temperature, salinity, turbidity, and hydrogen ion concentration at the collection points. Results: The total isolation rates of V. vulnificus, V. cholera (non-pathogenic, non-O1, non-O139 serogroups), and V. parahaemolyticus from seawater specimens in 2016 were 14.2, 13.48, and 67.06%, respectively. Conclusions: The isolation rates of pathogenic vibrios genus showed a positive correlation with temperature of seawater and atmosphere but were negatively correlated with salinity and turbidity.

A Study on the Estimation of Casualty Prevention Effectiveness through the Installation of Coastal Vessel Traffic Services (연안 선박교통관리제도의 도입에 따른 사고예방효과 추정에 관한 연구)

  • Jong, Jae-Yong;Lee, Hyong-Ki;Park, Jin-Soo
    • Journal of the Korean Institute of Navigation
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    • v.25 no.2
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    • pp.97-106
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    • 2001
  • The purpose of this paper is to determine the expected percentage of the 'VTS addressable' casualties that could be prevented with the installation of fourth level(Automatic Dependent Surveillance) of coastal VTS. In this study, it determines the VTS benefit by multiplying casualty rate reduction factors by the effect level of causal factors. The development of casualty rate reduction factors was based on the questionnaire survey, and the evaluation of effect levels was based on the causal analysis using functional block diagram. The results of this paper are compared With the results of worldwide literature related to the VTS effectiveness. One or more of the key variable inputs of this study, casualty rate reduction factors, may be somewhat uncertain and therefore subject to sensitivity analysis.

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Time trend of malaria in relation to climate variability in Papua New Guinea

  • Park, Jae-Won;Cheong, Hae-Kwan;Honda, Yasushi;Ha, Mina;Kim, Ho;Kolam, Joel;Inape, Kasis;Mueller, Ivo
    • Environmental Analysis Health and Toxicology
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    • v.31
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    • pp.3.1-3.11
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    • 2016
  • Objectives This study was conducted to describe the regional malaria incidence in relation to the geographic and climatic conditions and describe the effect of altitude on the expansion of malaria over the last decade in Papua New Guinea. Methods Malaria incidence was estimated in five provinces from 1996 to 2008 using national health surveillance data. Time trend of malaria incidence was compared with rainfall and minimum/maximum temperature. In the Eastern Highland Province, time trend of malaria incidence over the study period was stratified by altitude. Spatio-temporal pattern of malaria was analyzed. Results Nationwide, malaria incidence was stationary. Regionally, the incidence increased markedly in the highland region (292.0/100000/yr, p =0.021), and remained stationary in the other regions. Seasonality of the malaria incidence was related with rainfall. Decreasing incidence of malaria was associated with decreasing rainfall in the southern coastal region, whereas it was not evident in the northern coastal region. In the Eastern Highland Province, malaria incidence increased in areas below 1700 m, with the rate of increase being steeper at higher altitudes. Conclusions Increasing trend of malaria incidence was prominent in the highland region of Papua New Guinea, while long-term trend was dependent upon baseline level of rainfall in coastal regions.