• Journal of Korean Society of Forest Science
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• v.96 no.5
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• pp.510-514
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• 2007

The main purpose of this study was to develop Mountain Search and Rescue System for enhancing search and rescue operations in the mountains. This study also focused on presenting an alternative to using a cellular phone for requesting rescue due to their unreliability in remote areas. This system is designed to help in the search and rescue of people in emergency situations in the mountains. It is composed of buzzer sensors, environmental information sensors, and a statistical analysis program. A key feature of this system is that it does not require an infrastructure of internet or CDMA networks for its operation in the mountains. The measure for the study was conducted by using a zigbee protocol analyzer, RF module and 433MHz Helical antenna to analyze the rate of data reception in relation to the distance between nodes. This system is applicable to mountains provided the distance between nodes is over 100 m and under 150 m.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.13 no.4
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• pp.100-110
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• 2005

The worldwide satellite system for search and rescue has been in operation since 1982 and has assisted in the rescue of thousands of lives in distress. Aviators, mariners and land users being equipped with distress beacons are capable of transmitting distress signals to the satellites in emergency situations anywhere in the world. This paper describes the configuration of the search and rescue satellite system, principles of its operation, and how the system is utilized to process the distress events. Also, this paper points out the importance of development of technologies of user equipment and proposes an experimental program for technology development using domestic satellites.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.213-219
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• 2023

In recent years, popularity of deep learning (DL) is increased due to its ability to extract features from Hyperspectral images. A lack of discrimination power in the features produced by traditional machine learning algorithms has resulted in poor classification results. It's also a study topic to find out how to get excellent classification results with limited samples without getting overfitting issues in hyperspectral images (HSIs). These issues can be addressed by utilising a new learning network structure developed in this study.EfficientNet-B4-Based Convolutional network (EN-B4), which is why it is critical to maintain a constant ratio between the dimensions of network resolution, width, and depth in order to achieve a balance. The weight of the proposed model is optimized by Search and Rescue Operations (SRO), which is inspired by the explorations carried out by humans during search and rescue processes. Tests were conducted on two datasets to verify the efficacy of EN-B4, with Indian Pines (IP) and the University of Pavia (UP) dataset. Experiments show that EN-B4 outperforms other state-of-the-art approaches in terms of classification accuracy.

• Journal of Navigation and Port Research
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• v.27 no.2
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• pp.121-127
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• 2003

The Korea Maritime Police Agency(KMPA) is the national maritime Search and Rescuee (SAR) authority with the responsibility to promote an efficient organization of SAR services and to coordinate the conduct of SAR operations within the Korean Search and Rescue Region(SRR). The maritime SAR operations shall provide an adequate and effective search and rescue services to minimize the loss by rendering aid to persons in distress and property in the marine environment. The essence of a successful search and rescue operation is the speed with which it is planned and carried out because survivors who need assistance and whose chances of survival diminish rapidly with time. This paper aims to propose an optimal allocation model of maritime SAR fleet in view of minimizing the search and rescue time. When maritime accidents occur, rescue units have to reach to the distress scene within the specified time. For this, SAR units must be redeployed to an advanced base so that Rescue Units(RU) can reach to the scene of distress in the shortest possible time. The Korean maritime SRR is divided into 180 sub-areas in consideration of an operational and technical ability of SAR units. The suggested model is verified through an empirical application to the Korean maritime SRR. And also the Rescue Vessels(RV) required is estimated for each Rescue Co-ordination Center(RCC).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2003.05a
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• pp.35-41
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• 2003

The Korea Maritime Police Agency(KMPA) is the national maritime Search and Rescue (SAR) authority with the responsibility to promote an efficient organization of SAR services and to coordinate the conduct of SAR operations within the Korean Search and Rescue Region(SRR). The maritime SAR operations shall provide an adequate and effective search and rescue services to minimize the loss of life, injury property damage or loss by rendering aid to persons in distress and property in the marine environment. The essence of a successful search and rescue operation is the speed with which it is planned and carried out because survivors who need assistance and whose chances of survival diminish rapidly with time. This paper aims to propose an optimal allocation model of maritime SAR fleet in view of minimizing the search and rescue time. When maritime accidents occur, rescue units have to reach to the distress scene within the specified time. For this. SAR units must be redeployed to an advanced base so that Rescue Units(RU) can reach to the scene of distress in the shortest possible time. The Korean maritime SRR is divided into 180 sub-areas in consideration of an operational and technical ability of SAR units The suggested model is verified through an empirical application to the Korean maritime SRR. And also the Rescue Vessels(RV) required is estimated for each Rescue Co-ordination Center(RCC).

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 1995.04a
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• pp.93-108
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• 1995

SART(Search and Rescue Radar Transponder) is a radar transponder capable of operating in the 9GHz band which is one element of GMDSS. the fundamental function of the SART is to indicate its position. Thus it is so much available to assist SAR operation when an emergency and casualty occur at any sea area, In the thesis we designed manufactured each part of circuit to develop the advanced SART and configured to test the characteristics in many ways, As the results of detailed things we confirmed that the developed SART could be high possibility of production.

• Journal of the Korean Institute of Navigation
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• v.19 no.1
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• pp.17-32
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• 1995

SART(Search and Rescue Radar Transponder) is a radar transponder capable of operating in the 9GHz band, which is one element of GMDSS. The fundamental function of the SART is to indicate its position. Thus, it is so much available to assist SAR operation when an emergency and casualty occur at any sea area. In the thesis, we designed, manufactured each part of circuit to develop the advanced SART and configured to test the characteristics in many ways. As the result of detailed things, we confirmed that the developed SART could be high possibility of production.

• Journal of Institute of Control, Robotics and Systems
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• v.22 no.4
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• pp.288-292
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• 2016

In this paper, we propose an infrared image based human victim recognition method for a search and rescue robot in dark environments, like general disaster situations. For recognizing a human victim, an infrared camera on a RGB-D camera, Microsoft Kinect, is used. The contrast and brightness of the infrared image are first improved by histogram equalization, and the noise on the image is removed by morphological operation and Gaussian filtering. For recognizing a human victim, the binarization and blob labeling methods are applied to the improved image. Finally, for verifying the effectiveness and feasibility of the proposed method, an experiment for human victim recognition is carried out in a dark environment.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.676-682
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• 2018

In wireless sensor networks, we propose an optimization algorithm in order to minimize the consumed energy of nodes for maritime search and rescue. In the marine environment, search and rescue operations are mainly performed on the surveillance side and passively on the rescued side. A self-configurable wireless sensor network can build a system that can send rescue signals in the operations. A simulated annealing algorithm is proposed to minimize the consumed energy of nodes in the networks with many nodes. As the density of nodes becomes higher, the algorithmic computation will increase highly. To search the good result in a proper execution time, the proposed algorithm proposes a new neighborhood generating operation and improves the efficiency of the algorithm. The proposed algorithm was evaluated in terms of the consumed energy of the nodes and algorithm execution time, and the proposed algorithm performed better than other optimization algorithms in the performance results.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.1
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• pp.34-39
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• 2015

KCG, responsible Agency of maritime SAR operation has been known to address the marine casualties well, however, it was criticized because KCG failed to take prompt and effective response to the recent Ferry disaster at the very early stage. In this regards, the authors analyze the characteristics of marine incident with historical data, and also review and examine the national SAR system focusing on SAR coordination and human resources to make recommendation and suggestion in order to minimize the loss of lives to future marine incidents. As a result, KCG shall augment its capabilities, inter alia, fast libeboats and rescue helicopters for prompt response to marine incidents at the coastal waters, and KCG shall re-adjust the establishment of Rescue Coordination Center to improve operational problems of current system in accordance with IMO guidance, KCG is required to introduce mandatory training, qualification and certificate system to enhance the professionalism of SAR personnel.