• Journal of the Korea Institute of Military Science and Technology
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• v.26 no.2
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• pp.188-196
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• 2023

In the future battlefield centered on the concept of mosaic warfare, the need for an unmanned combat system will increase to value human life. It is necessary for Multiple/Heterogeneous Unmanned Combat Systems to have suitable mission planning method in order to perform various mission. In this paper, we propose the MTSR model for mission planning of the unmanned combat system, and introduce a method of identifying a task by a combination of services using a request operator and a method of allocating resources to perform a task using the requested service. In order to verify the performance of the proposed task-resource matchmaking algorithm, simulation using occupation scenarios is performed and the results are analyzed.

• Journal of the Korea Institute of Military Science and Technology
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• v.20 no.6
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• pp.758-766
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• 2017

In this paper, we propose a robust duality of CNN(Du-CNN) method which can classify the target and clutter in coastal environment for IR Imaging Sensor. In coastal environment, there are various clutter that have many similarities with real target due to diverse change of air temperature, water temperature, weather and season. Also, real target have various feature due to the same reason. Thus, the proposed Du-CNN method adopts human's multiple personality utilization and CNN technique to learn and classify target and clutter. This method has an advantage of the real time operation. Experimental results on sampled dataset of real infrared target and clutter demonstrate that the proposed method have better success rate to classify the target and clutter than general CNN method.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.42 no.3
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• pp.263-269
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• 2014

Flight test data visualization functions can improve an understanding of flight test results, test procedures, and the performance of a flight vehicle after flight tests. FlyingView was developed for researchers to analyse flight test data in a 3D virtual environment. It also can display X-Y plots using flight test data. It was developed and applied to flight tests of an air-to-ground weapon system of ADD. This paper describes the capabilities of FlyingView.

• Biomolecules & Therapeutics
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• v.9 no.1
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• pp.33-39
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• 2001

Antidotal efficacy of combinational prophylactics composed of physostigmine plus procyclidine, alone or in combination with antidotes such as atropine plus 2-pralidoxime or atropine plus HI-6, was evaluated in rats. Physostigmine (0.1 mg/kg) plus procyclidine (3 mg/kg), pretreated subcutaneously 30 min prior to subcutaneous exposure to organophosphates of militarily importance, exerted protection ratios of 7.2, 6.5, 4.0, 2.9 and 8.0 fold for tabun, saris, soman, cyclosarin and V-agent, respectively. In comparison, low effects (1.7 fold for soman and 1.3 fold for cyclosarin) were achieved with the traditional antidotes atropine (17.4 mg/kg) plus 2-pralidoxime (30 mg/kg) administered intramuscularly immediately after organophosphate, in contrast to high effects (5.5 fold for soman and 160.0 fold for cyclosarin) with atropine (17.4 mg/kg) plus HI-6 (125 mg/kg), although the protection ratio markedly decreased when treatment of antidotes was delayed. Note- worthy, the combinational prophylactics markedly potentiated the effects of antidotes to higher than 5.0 fold in all cases. In addition, the combinational prophylactics fully prevented the seizures and excitotoxic brain injuries induced by a high dose (100 mg/kg, 1.3 LD$_{50}$) of soman. Taken together, it is suggested that the prophylactics composed of physostigmine and procyclidine, in combination with posttreatment antidotes, could be a promising regimen for the prevention of lethality, seizures and brain injuries induced by organophosphates possessing diverse properties.s.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.3
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• pp.219-230
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• 2022

In implementing a robust automatic target recognition(ATR) system with synthetic aperture radar(SAR) imagery, one of the most important issues is accurate classification of target variants, which are the same targets with different serial numbers, configurations and versions, etc. In this paper, a deep learning network with channel attention modules is proposed to cope with the recognition problem for target variants based on the previous research findings that the channel attention mechanism selectively emphasizes the useful features for target recognition. Different from other existing attention methods, this paper employs the channel attention modules without dimensionality reduction along the channel direction from which direct correspondence between feature map channels can be preserved and the features valuable for recognizing SAR target variants can be effectively derived. Experiments with the public benchmark dataset demonstrate that the proposed scheme is superior to the network with other existing channel attention modules.

• Journal of the Korea Institute of Military Science and Technology
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• v.19 no.1
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• pp.43-49
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• 2016

This paper addresses the problem of the software update or upgrade of embedded equipments on a missile assembly with booster. Because the embedded equipments are assembled delicately and closely one another with various communication and power cables, they should be very carefully disassembled to directly upgrade the software of a certain embedded equipment. This may cause not only the costs for disassembly and reassembly but also additional tests to verify the completeness of the reassembled missile as a missile assembly with booster. This paper presents an indirect data transfer technique based on MIL-STD-1553B through Guidance Control Unit to easily upgrade the software of other equipments without any additional costs caused by disassembly and reassembly. The presented technique was successfully applied to the software upgrade of various equipments on real missile assembly with booster.

• Journal of the Korea Institute of Military Science and Technology
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• v.24 no.1
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• pp.22-30
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• 2021

The ship wake generated by rotation of the propeller yields changes of characteristics of sound wave such as attenuation and scattering. To develope a battle field environment simulator for military purposes, it is very important to understand acoustical properties of ship wake. Existing research results have limitations in direct application because they performed under simple conditions or model ships were applied. In this study, we developed a ship wake generation model based on the ship's geometric wake distribution theory. The model can provide spatial distribution and void fraction with various marine environments as well as ship size. Through the developed model, geometric distribution features of ship wake according to the ship's maneuvering conditions were successfully simulated. In addition, changes of the bubble void fraction with time at any location within the battle field environment were identified. Therefore, the developed model is expected to be used in the development of a simulator to measure the acoustic characteristics of the ship wake.

• Journal of the Korea Institute of Military Science and Technology
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• v.26 no.4
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• pp.335-343
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• 2023

Drone based Magnetic Anomaly Detection measure a magnetic anomaly signal from the ferromagnetic target on the ground. We conduct a magnetic anomaly detection with 9 ferromagnetic targets on the ground. By removing the magnetic field measured in the absence of ferromagnetic targets from the experimental value, the magnetic anomaly signal is clearly measured at an altitude of 100 m. We analyze the signal characteristics by the ferromagnetic target through simulation using COMSOL multiphysics. The simulation results are within the GPS error range of the experimental results.

• Journal of Aerospace System Engineering
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• v.15 no.2
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• pp.36-44
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• 2021

Unmanned aerial vehicles (UAVs) are increasingly needed as they can replace manned aircrafts in dangerous military missions. However, because of their low autonomy, current UAVs can execute missions only under continuous operator control. To overcome this limitation, higher autonomy levels of UAVs based on autonomous situational awareness is required. In this paper, we propose an autonomous situational awareness software consisting of situation awareness management, threat recognition, threat identification, and threat space analysis to detect dynamic situational change by external threats. We implemented the proposed software in real mission computer hardware and evaluated the performance of situational awareness toward dynamic radar threats in flight simulations.

• Journal of Aerospace System Engineering
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• v.17 no.6
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• pp.133-143
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• 2023

This paper describes the system integration laboratory's requirement analysis, implementation, and verification for multiple-scenario unmanned aerial vehicle operation and control technology using a manned rotorcraft for Manned-Unmanned Teaming. System integration laboratory consists of manned rotorcraft flight simulation, unmanned aerial vehicle flight and mission equipment simulation, ground control system simulation for unmanned aerial vehicle control and change in the control authority between the ground control system and manned rotorcraft, and operation and control system for mission plan's writing and transmission. Each implemented simulation verified the requirements through software and hardware integration test.