• Journal of the Korea Society for Simulation
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• v.14 no.2
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• pp.57-71
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• 2005

A simulation for the analysis of the evasive capability of a conventional costal submarine against a light Anti-Submarine Warfare (ASW) torpedo has been studied. The Torpedo, Submarine Controller, Devoy, and Jammer models of this simulation are analysised and designed using Unified Modeling Language (UML) and in addition they are modeled Discrete Event System Specification (DEVS). We examine maximum speed, acceleration, countermeasure systems capabilities of a submarine, and sonar range of a torpedo as the factors which affect the evasive capability of the submarine. This paper shows the relationships between those various factors and the submarine's evasive capability as the outcome of the simulation. The simulation models can be applied for simulation based acquisition (SBA) of a submarine system.

• ETRI Journal
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• v.29 no.1
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• pp.1-7
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• 2007

In this paper, we analyze the performance of double-dwell hybrid initial acquisition in a direct sequence ultra-wideband (DS-UWB) system via detection, miss, false alarm probabilities, and mean acquisition time. In the analysis, we consider the effect of the acquisition sequence as well as the deployment scenario of the abundant multipath components over small coverage of the piconet in the DS-UWB system. Based on the simulation, we obtain various performance measures for the mean acquisition time by varying parameters such as the total number of hypotheses to be searched, subgroup size, and dwell time. We thereupon suggest the optimum parameter set for the initial acquisition in the DS-UWB system.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.7A
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• pp.696-701
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• 2006

In this paper, we analyze the performance of double-dwell hybrid initial acquisition in DS-UWB system via detection, miss, false alarm probabilities and mean acquisition time. In the analysis, we consider the effect of the acquisition sequence, and deployment scenario of the abundant multipath components over the small coverage of the piconet in DS-UWB system. Based on the simulation, we obtain various performance on the mean acquisition time by varying the parameters, such as the total number of hypotheses to be searched, subgroup size, and dwell time. Then, we suggest the optimum parameter set for the initial acquisition in DS-UWB system.

• Journal of the Korean Society of Systems Engineering
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• v.7 no.2
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• pp.31-37
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• 2011

Korean Naval Ship acquisition processes are very complicate. There are 4 phases, Feasibility Study, Concept Design, Basic Design, Detail Design and Construction. A number of organizations and support groups exist to acquire naval war ships. Thus, It is very important how to establish traceability about requirements. This work has investigated how to improve traceability about requirements using Shipboard Work Breakdown Structure.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.5
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• pp.530-538
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• 2022

Recently, the R&D of weapon systems has been strengthened in terms of economic cost management throughout the entire life cycle from performance. This study proposes the method for setting the optimal maintenance concept based on RAM-C in weapon system acquisition stage by calculating the operation & maintenance cost as well as reliability, availability, and maintainability. First, we design a simulation model for analysis of weapon system logistic supportability. In addition, information such as weapon system Part Breakdown Structure, operation & maintenance system, cost, and etc for simulation analysis, is applied. Based on the obtained simulation results, the optimal plan is selected among alternatives designed with various maintenance concepts through normalization and weight setting. It is expected to be of technical help in the application of RAM-C in the weapon system acquisition stage.

• Journal of Internet Computing and Services
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• v.21 no.2
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• pp.131-138
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• 2020

The SBA Integrated Information system is constructed and operated for scientific and systematic management of Defense information utilizing whole process of weapon system acquisition from requirement institution to operation maintenance. In order to utilize m&s resources actively and effectively in the life cycle of weapon system acquisition, efficient management plans of the SBA integrated Information system is required. As a result of identifying usage on SBA Information system and performance of operation performance measurement, it was defined that establishment of the SBA Integrated Information system process and provision of detailed system are mandatory for activating m&s resource and supporting process of acquisitions. In this study, Defense m&s information system is analyzed and improvement plans of SBA Integrated Information system is provided for efficient operation of SBA integrated Information system.

• Korea Information Processing Society Review
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• v.15 no.6
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• pp.5-13
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• 2008

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2956-2958
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• 2000

This paper describes the design of a real time traffic data acquisition system using loop detector and piezzo sensor. Loop detector is the cheapest method to measure the speed and piezzo is used to detect the vehicle axle information. A ISA slot based I/O board is designed for data acquisition and PC process the raw traffic data and transfer the data to the host system. Simulation kit is designed with toy car kits. simulated loop detector and piezzo sensor. The data acquisition system collects up to 10 lane highway traffic data such as vehicle count. speed. length axle count. distance between the axles. The data is processed to generate traffic count, vehicle classification, which are to be used for ITS. The system architecture and simulation data is included and the system will be tested for field operation.

• Korean Journal of Adult Nursing
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• v.27 no.5
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• pp.604-611
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• 2015

Purpose: Knowledge, clinical reasoning, and self-confidence are the basis for undergraduate education, and determine students' level of competence. The purpose of this study was to assess the effects of the addition of a one-time simulation experience to the didactic curriculum on nursing students' knowledge acquisition, clinical reasoning skill, and self-confidence. Methods: Using a quasi-experimental crossover design consisted of intervention and wait-list control groups. Participants were non-randomly assigned to the first intervention group (Group A, n=48) or the wait-list control group (Group B, n=46). Knowledge level was assessed through a multiple choice written test, and clinical reasoning skill was measured using a nursing process model-based rubric. Self-confidence was measured using a self-reported questionnaire. Results: Results indicated that students in the simulation group scored significantly higher on clinical reasoning skill and related knowledge than those in the didactic lecture group; no difference was found for self-confidence. Conclusion: Findings suggest that undergraduate nursing education requires a simulation-based curriculum for clinical reasoning development and knowledge acquisition.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2008.03a
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• pp.16-21
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• 2008

Aero-engine, as one kind of rotating machinery with complex structure and high rotating speed, has complicated vibration faults. Therefore, condition monitoring and fault diagnosis system is very important for airplane security. In this paper, a vibration data acquisition and intelligent fault diagnosis system is introduced. First, the vibration data acquisition part is described in detail. This part consists of hardware acquisition modules and software analysis modules which can realize real-time data acquisition and analysis, off-line data analysis, trend analysis, fault simulation and graphical result display. The acquisition vibration data are prepared for the following intelligent fault diagnosis. Secondly, two advanced artificial intelligent(AI) methods, mapping-based and rule-based, are discussed. One is artificial neural network(ANN) which is an ideal tool for aero-engine fault diagnosis and has strong ability to learn complex nonlinear functions. The other is data mining, another AI method, has advantages of discovering knowledge from massive data and automatically extracting diagnostic rules. Thirdly, lots of historical data are used for training the ANN and extracting rules by data mining. Then, real-time data are input into the trained ANN for mapping-based fault diagnosis. At the same time, extracted rules are revised by expert experience and used for rule-based fault diagnosis. From the results of the experiments, the conclusion is obvious that both the two AI methods are effective on aero-engine vibration fault diagnosis, while each of them has its individual quality. The whole system can be developed in local vibration monitoring and real-time fault diagnosis for aero-engine.