• Korean Journal of Remote Sensing
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• v.34 no.2_2
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• pp.307-311
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• 2018

It is necessary to establish wide integrated surveillance system of marine territory to reduce damage caused by maritime security threats, marine pollution and accidents for safe and clean marine use and efficient development of marine resources. For marine surveillance, the information characteristics of space-time specific, accuracy and operability are required, and real-time information about the wide area should be provided at all times. This special issue has been published to identify the characteristics of each platform, evaluate its usability for the establishment of a wide integrated surveillance system, and present the direction for future convergence studies between platforms. Since 2015, KIOST and cooperative research team have been performing the project, "Base research for building wide integrated surveillance system of marine territory using multi-platform" that detect vessels and red tide etc. near real time by using satellite, UAV and HF Ocean Radar. The objective of this special issue is to introduce the significance for an integrated system for maritime surveillance and to create a forum for discussion on recent advances in remote sensing technology and applications for marine disasters, pollution, and accident surveillance.

• Journal of KIISE:Computing Practices and Letters
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• v.5 no.6
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• pp.758-770
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• 1999

최근 급속한 네트워크 기술의 발달로 이들에 대한 관리의 필요성이 제기되었고 이를 위해 SNMP와 CMIP등과 같은 표준이 등장하여 사용되어 왔다. 그러나 점점 더 다양하고 복잡한 네트워크가 형성되자 이들에 대한 효율적인 관리가 필요하게 되었다. 현재, TMN은 개념에 있어서 보편성 및 가장 일반화된 관리개념이며 최종적으로 도달할 네트워크 관리 개념을 포함하고 있다. CORBA는 분산환경에서 응용프로그램을 쉽게 구현할 수 있는 기반을 제공하고 있다. 따라서 이러한 두 가지 기술을 접목한 CORBA와 TMN을 통합하고자 하는 많은 연구가 진행되고 있다. 본 논문에서는 현재의 CORBA/TMN 통합에 대한 연구를 바탕으로 효율적인 네트워크 통합 관리 구조를 정의하고 TMN의 기능중 Alarm Surveillance를 구조에 맞춰 구현하였다. 구현된 Alarm Surveillance System은 다양한 대리자들로부터 보고되는 여러 형태의 Alarm 정보에 대해, 처리 및 운용자에 대한 보고수행 등을 일관성 있게 처리하고 있는 것을 보여주고 있다. 따라서 제시된 Alarm Surveillance System은 사용자에게 일관성 있는 관리행위를 제공함으로써 다양한 관리구조가 적용된 복잡한 네트워크 관리를 제공할 수 있다. 또한 전체 네트워크로부터 필요한 통계분석을 위한 자료 수집 등의 편의를 제공할 것이다.Abstract Recently, due to the rapid development of network technology, the need for the network management appeared. So two representative standardards, SNMP and CMIP, have been applied to many network management system. But the more complex and vaious network are constructed, the demand for more efficient network management technology grew bigger. Currently, TMN technology is beginning to be widely applied to the management of networks. CORBA has been widely adopted for developing distributed systems in many areas of information technology. CORBA provides the infrastructure for the interoperability of various object-oriented management applications in a distributed environment, and, recently there have been world-wide research for the integration of CORBA within a TMN framework. Many attempts have been made to enable network management using CORBA techonology and some are working on already. This paper defines the architecture for integrated network management based on current CORBA/TMN integration technologies and then presents the design and implementation for alarm surveillance system which was applied to the defined architecture. The prototype implementation was done using IONA orbix. The proposed integrated network management framework will provide users with consistent management operations and ability to manage complex and various networks and to gather statistical data from those networks.

• Journal of information and communication convergence engineering
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• v.2 no.1
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• pp.52-57
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• 2004

In this paper, we propose a panorama-based object tracking scheme for wide-view surveillance systems that can detect and track moving objects with a pan-tilt camera. A dynamic mosaic of the background is progressively integrated in a single image using the camera motion information. For the camera motion estimation, we calculate affine motion parameters for each frame sequentially with respect to its previous frame. The camera motion is robustly estimated on the background by discriminating between background and foreground regions. The modified block-based motion estimation is used to separate the background region. Each moving object is segmented by image subtraction from the mosaic background. The proposed tracking system has demonstrated good performance for several test video sequences.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.77-85
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• 2024

In this dissertation, a we designed and implemented a patrol robot that integrates a thermal imaging camera, speed dome camera, PTZ camera, radar, lidar sensor, and smartphone. This robot has the ability to monitor and respond efficiently even in complex environments, and is especially designed to demonstrate high performance even at night or in low visibility conditions. An orbital movement system was selected for the robot's mobility, and a smartphone-based control system was developed for real-time data processing and decision-making. The combination of various sensors allows the robot to comprehensively perceive the environment and quickly detect hazards. Thermal imaging cameras are used for night surveillance, speed domes and PTZ cameras are used for wide-area monitoring, and radar and LIDAR are used for obstacle detection and avoidance. The smartphone-based control system provides a user-friendly interface. The proposed robot system can be used in various fields such as security, surveillance, and disaster response. Future research should include improving the robot's autonomous patrol algorithm, developing a multi-robot collaboration system, and long-term testing in a real environment. This study is expected to contribute to the development of the field of intelligent surveillance robots.

• Korean Journal of Remote Sensing
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• v.34 no.2_2
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• pp.327-338
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• 2018

The possibility of ship detection monitoring at operational level using KOMPSAT-5 Synthetic Aperture Radar (SAR) and Automatic Identification System (AIS) data is investigated. For the analysis, the KOMPSAT-5 SLC images, which are collected from the west coast of Shinjin port and the northern coast of Jeju port are used along with portable AIS data from near the coast. The ship detection algorithm based on HVAS (Human Visual Attention System) was applied, which has significant advantages in terms of detection speed and accuracy compared to the commonly used CFAR (Constant False Alarm Rate). As a result of the integrated analysis, the ship detection from KOMPSAT-5 and AIS were generally consistent except for small vessels. Some ships detected in KOMPSAT-5 but not in AIS are due to the data absence from AIS, while it is clearly visible in KOMPSAT-5. Meanwhile, SAR imagery also has some false alarms due to ship wakes, ghost effect, and DEM error (or satellite orbit error) during object masking in land. Improving the developed ship detection algorithm and collecting reliable AIS data will contribute for building wide integrated surveillance system of marine territory at operational level.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.12
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• pp.1884-1891
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• 2016

With the various usage of civil drones, such as hobby, filmmaking and surveillance, the need for technology that safely reconstructs software for target application domains has been increasingly rising. In order to support a reliable software integration of avionic systems, the ARINC 653 standard has been proposed and adapted mainly on manned aircrafts. Therefore, applying ARINC 653 on civil drones could be desirable. Though, various researches on implementing ARINC 653 has been conducted, there are still additional requirements to apply ARINC 653 to civil drones that use various platforms and have a wide range of use. In this paper, taking account of these requirements, we implement a portable and extensible ARINC 653 and analyze its performance. We offer the portability with the OS abstraction layer that reduces dependency on a specific operating system, and provide the design that can extend internal functions, such as partition scheduler and process scheduler.

• Korean Journal of Remote Sensing
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• v.39 no.5_3
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• pp.997-1008
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• 2023

Ship detection at sea can be performed in various ways. In particular, satellites can provide wide-area surveillance, and Synthetic Aperture Radar (SAR) imagery can be utilized day and night and in all weather conditions. To propose an efficient ship detection method from SAR images, this study aimed to apply the You Only Look Once Version 5 (YOLOv5) model to Sentinel-1 images and to analyze the difference between individual vs. integrated models and the accuracy characteristics by polarization. YOLOv5s, which has fewer and lighter parameters, and YOLOv5x, which has more parameters but higher accuracy, were used for the performance tests (1) by dividing each polarization into HH, HV, VH, and VV, and (2) by using images from all polarizations. All four experiments showed very similar and high accuracy of 0.977 ≤ AP@0.5 ≤ 0.998. This result suggests that the polarization integration model using lightweight YOLO models can be the most effective in terms of real-time system deployment. 19,582 images were used in this experiment. However, if other SAR images,such as Capella and ICEYE, are included in addition to Sentinel-1 images, a more flexible and accurate model for ship detection can be built.