• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.418-420
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• 2004

정보화가 진전됨에 따라 많은 컴퓨터 시스템이 개발되어 사용되고 있다. 대부분의 컴퓨터 시스템들이 초기에는 독자적인 운영에 만족하였으나 시스템의 효율성이나 사용자의 요구로 인하여 시스템간의 정보교환에서 기능교환에 이르기까지 정보시스템의 상호운용성이 시스템의 성능을 측정하는 중요한 요소가 되어가고 있다. 그리고 컴포넌트 기반의 새로운 소프트웨어 개발 패러다임이 발전하면서 컴포넌트의 상호운용성과 재사용성을 이용한 시스템 개발이 시도되고 있고 컴포넌트 개발 방법론 또한 발전하고 있다. 그러나 정보 시스템의 상호운용성에 관한 체계적인 연구는 현재 미비한 실정이다. 본 논문에서는 미 국방성에서 정보시스템의 상호운용성 측정 및 평가를 위하여 사용하는 LISI 모델을 확장하여 컴포넌트 기반 시스템외 상호운용성을 측정 및 평가할 수 있는 상호운용 능력 모텔을 개발하였다. 본 논문에서 제시하는 컴포넌트 상호운용 능력 모델은 컴포넌트 기반 시스템의 개발 프로세스에 따라 각 개발 단계에서 상호운용성을 측정할 수 있도록 고안되었다. 따라서 본 논문의 상호운용 능력 모텔은 상호운용 성숙도 모델로 확장하여 기 개발된 시스템의 상호운용 성숙도 측정이나 향상에 사용할 수 있다.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.2
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• pp.30-46
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• 2013

Using ArcGIS Model Builder, with emphasis on the importance of ecology and user friendliness, a model for site selecting tool is developed. This tool is developed by establishing standardized method for data selection and analysis with evaluation criteria using GIS. For this task, our first action was to objectively define and establish 18 elements to evaluate the potentiality of the site based on extensive literature reviews. These 18 elements reflect environmental, social/cultural and legal aspects that may influence the decision process to select the desired site. Secondly, using ArcGIS Model Builder, 18 analytical elements were made into thematic mapping which represent systematically organized graphic input to the model with automatic double check system and overlay analysis capability. Thirdly, to validate the effectiveness of the developed model, site location analysis was performed using the actual site, Buk-ku, Pohang.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.57-66
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• 2007

Organizations of Software development are very important issue on enhancement of a software quality as rapid progress of software industry. Especially there are diverse attempts for enhancement of test maturity of the software organization through some kinds of the test maturity model. But the current test maturity models based on CMM(Capability Maturity Model) lack part of actual testing measurement and only measure level of test maturity. To solve these problems, we suggest 'double V-model' to execute both software development process and test process simultaneously, and also 'test attributes to Maturity Levels Correlation Matrix' for evaluating level of test maturity included with definitions of test attribute and level. That is, we enhance TMM(Test Maturity Model) adopted with 'Improvement Suggestion' of TPI(Test Process Improvement) which is easy the evaluation of test maturity of organization and gives the direction of improvement to level up the test maturity for the measured organization. As a result, we will contribute to level up the test maturity of the organization.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.6
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• pp.617-627
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• 2022

Military training is an essential item for the fundamental problem of war. However, there has always been a problem that many resources are consumed, causing spatial and environmental pollution. The concepts of defense modeling and simulation and CGF(Computer Generated Force) using computer technology began to appear to improve this problem. The Naval Operations, Resources Analysis Model(NORAM) developed by the Republic of Korea Navy is also a DEVS(Discrete Event Simulation)-based naval virtual force analysis model. The current NORAM is a battle experiment conducted by an operator, and parameter values such as maneuver and armament operation for individual objects for each situation are evaluated. In spite of our research conducted evolutionary, supervised, reinforcement learning, in this paper, we introduce our design of a scenario creation model based on evolutionary learning using genetic algorithms. For verification, the NORAM is loaded with our model to analyze wartime engagements. Human-level tactical scenario creation capability is secured by automatically generating enemy tactical scenarios for human-designed Blue Army tactical scenarios.

• Journal of the Korean Society of Propulsion Engineers
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• v.16 no.2
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• pp.10-16
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• 2012

A computational analysis of nozzle flow characteristics and plume structure is conducted to examine performance of the supersonic nozzle employed in a thruster for ground firing test. At first, flow simulations in two-dimensional converging-diverging nozzle are performed for the verification of computational capability as well as turbulence model validity. Axisymmetric converging-diverging nozzles for ground firing test are analyzed with the k-${\omega}$ SST model. A performance penalty caused by flow separation in a diverging section is observed in initially-designed nozzle. The performance could be enhanced by the modification of the diverging section of nozzle contour.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1601-1607
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• 2016

Recently, weather information has been increasingly used in various area. This study presents the necessity of hourly weather information for electricity demand forecasting through correlation analysis and multivariate regression model. Hourly weather data were collected by Meteorological Administration. Using electricity demand data, we considered TBATS exponential smoothing model with a sliding window method in order to forecast electricity demand. In this paper, we have shown that the incorporation of weather infromation into electrocity demand models can significantly enhance a forecasting capability.

• Journal of Power Electronics
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• v.16 no.2
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• pp.643-653
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• 2016

The conventional methods used to evaluate battery state-of-charge (SOC) cannot accommodate the chemistry nonlinearities, measurement inaccuracies and parameter perturbations involved in estimation systems. In this paper, an impedance-based equivalent circuit model has been constructed with respect to a LiFePO₄ battery by approximating the electrochemical impedance spectrum (EIS) with RC circuits. The efficiencies of approximating the EIS with RC networks in different series-parallel forms are first discussed. Additionally, the typical hysteresis characteristic is modeled through an empirical approach. Subsequently, a methodology incorporating an H-infinity observer designated for open-circuit voltage (OCV) observation and a hysteresis model developed for OCV-SOC mapping is proposed. Thereafter, evaluation experiments under FUDS and UDDS test cycles are undertaken with varying temperatures and different current-sense bias. Experimental comparisons, in comparison with the EKF based method, indicate that the proposed SOC estimator is more effective and robust. Moreover, test results on a group of Li-ion batteries, from different manufacturers and of different chemistries, show that the proposed method has high generalization capability for all the three types of Li-ion batteries.

• Journal of Fisheries and Marine Sciences Education
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• v.29 no.2
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• pp.354-364
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• 2017

This study tries to evaluate the effect of ITT introduction in Busan New Port. The study used the estimation model of the number of vehicles required in accordance with the backhaul rate. The model used big data, COPINO e-document for one year in 2015. COPINO recorded the event such as truck ID, container ID, ATA, damage etc when truck arrived at gate. The study finds important information to estimate the required number of trucks for handling current ITT containers in Busan New Port: Daily throughput in Busan New Port is 1650 vans, especially night throughput recorded peak level in 1800 hours to 2400 hours, the throughput between adjacent terminals recorded high, i.e PNIT to HPNT. The transportation capability for 6 hours between terminals is from 4 vans to 7 vans. The required trucks are estimated 89 currently without considering peak level. If we change the back haul rate from current 20% to 40%, 60% and 80%, how much would the cost drop? It was discovered that, if it is raised to 40%, 60% and 80%, the number of vehicle required will be reduced from 89 (current) to 76, 65 and 59. It was also discovered that the total savings will reduce down to 12%, 25% and 34%.

• ETRI Journal
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• v.43 no.4
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• pp.630-639
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• 2021

Autonomous driving requires a computerized perception of the environment for safety and machine-learning evaluation. Recognizing semantic information is difficult, as the objective is to instantly recognize and distinguish items in the environment. Training a model with real-time semantic capability and high reliability requires extensive and specialized datasets. However, generalized datasets are unavailable and are typically difficult to construct for specific tasks. Hence, a light detection and ranging semantic dataset suitable for semantic simultaneous localization and mapping and specialized for autonomous driving is proposed. This dataset is provided in a form that can be easily used by users familiar with existing two-dimensional image datasets, and it contains various weather and light conditions collected from a complex and diverse practical setting. An incremental and suggestive annotation routine is proposed to improve annotation efficiency. A model is trained to simultaneously predict segmentation labels and suggest class-representative frames. Experimental results demonstrate that the proposed algorithm yields a more efficient dataset than uniformly sampled datasets.

• The Journal of Korean Academic Society of Nursing Education
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• v.14 no.2
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• pp.232-243
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• 2008

Purpose: The study was aimed to suggest a model re-entry program into the job market for inactive registered nurses, based on the development and management of a program and the evaluation of its efficiency. Method: The participants in the program were 82 inactive nurses and the development and evaluation of the program followed ADDIE. To develop the program, general characteristics and demand on re-entry into the job market were investigated. Satisfaction level of the program and confidence in nursing practice were measured to evaluate it. Result: Participants were 45 years old, had 6 years' clinical experience, and had 14 inactive career years on average. The program included basic and core education courses, and a clinical course. The participants were satisfied with its management, and 80.3 percent of them agreed with the need for the program. Also, clinical sites and instructors in the clinical course were satisfactory. Participants gained high confidence in nursing practice skills. Conclusion: The study showed the goal of the program was accomplished by motivating inactive nurses for re-entry to the work force and enhancing capability in duty. The program needs standardizing, and field adaptability should be strengthened through clinical practice. An evaluation tool for the program has to be developed.