• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.56.6-56
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• 2001

The FDAS(Flight Data Analysis & Animation System) is a comprehensive analysis system designed for the improvement of flight safety. FDAS provides decoding, analysis and animation tools that can be used for investigation of data origination primarily from Flight Data Recoders(FDRs), Quick Access Recoders(QARs), Using FOQA(Flight Operation Quality Assurance) Data Analysis, an analyst can perform a variety of functions including data smoothing, interpolation, differentiation, integration, calculator function, flight path generation, performance routines, as well as user-programmed functions. Utilizing data captured and processed by our FDAS software module, FDAS provides high-fidelity 3-D aircraft views and instruments views. Multiple windows enable you to view the situation from a variety of perspectives, including out-of-window, chase plane ...

• Proceedings of the KIEE Conference
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• 2007.04a
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• pp.143-145
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• 2007

The development of excitation control system (ECS) for emergency diesel generator in nuclear power plant is the replacement project of existing control system to resolve the maintenance problems caused by aging and obsolescence, The excitation control system is classified as a safety-related system. To guarantee the performance of developing excitation control system is equal to or higher than that of other systems, establishing the quality assurance scheme, doing software verification and validation activities, and planning equipment qualification. In this paper, we'd like to introduce the equipment qualification of excitation control system.

• Proceedings of the Korean Society of Toxicology Conference
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• 2006.11a
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• pp.95-101
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• 2006

Compare to the toxicity tests using experimental animals, the GLP application and compliance in toxicity studies using cell culture systems may be less straightforward elucidated in the two documents published by the OECD Working Croup on GLP 'The Application of the GLP Principles to Short Term Studies (1999)' and 'The Application of the Principles of GLP to in vitro Studies (2004)' The object of this presentation is to show how to interpret the GLP principles and to apply with actual performances in a well known toxicity test using cell culture, chromosome aberration study. The presentation will cover test substance, test system (cell line), study environment management, documentation, quality assurance, and study protocol and report.

• Journal of Digital Contents Society
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• v.10 no.1
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• pp.73-85
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• 2009

In this paper, we propose integrated guidelines of effective e-Learning management system based on LMS(Learning Management System), LCMS(Learning Contents Management System), Authoring Tools by linking e-Learning system to management. The purpose of the study is to describe the present condition and major characteristics of domestic e-Learning System and to recommend quality assurance related to main functions and practical use of the corporate e-learning in multiple ways and implementation strategies to fit facilitator, tutor, learner.

• Proceedings of the KIPE Conference
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• 2002.11a
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• pp.186-189
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• 2002

Real-time thermal image is obtained by thermal imaging systems measuring radiant emittence according to law of Plank's blackbody radiation. The histogram of thermal image is not uniform. The signal bands of background and target are separated and grouped in narrow bands. In such a system, contrast enhancement indispensible to distinguish target from background. In this study, plateau histogram equalization using local histogram is proposed for contrast enhancement.

• Journal of KIISE
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• v.42 no.11
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• pp.1339-1348
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• 2015

In a distributed system environment based on a service-oriented architecture, separate systems collaborate to achieve the goals of the entire system by using services provided other systems. A service quality violation from using one service can cause runtime system failure in the environment. The existing self-adaptation methods follow fault tolerance mechanism that responds to a failure after a service quality violation. In other words, these methods are limited to responsive action. Therefore, a service-dependability-case based self-adaptation mechanism is necessary to preserve the dependability of the self-adaptive system. This paper demonstrates that the service-dependability-case based self-adaptation mechanism is better than QoS(quality of service)-based self-adaptation with fault tolerance to preserve the dependability of the self-adaptive system. Additionally, this paper suggests a method to present and analyze service dependability by using GSN(Goal Structuring Notation) which is the existing modeling method for the presentation of assurance cases, an action mechanism adapted using an analysis result of service-dependability-cases, a methods of leveraging the service-dependability-case based self-adaptation mechanism by following the service's life cycle, and the framework architecture including the major components and the interactions between the components in the control loop of the self-adaptation process.

• Journal of Korean Society for Atmospheric Environment
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• v.20 no.E1
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• pp.29-33
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• 2004

In environmental studies, decisions are often made on the analytical data indicating certain contaminants as being 'detected' or 'non-detectible.' Since detection limits are analytical method specific, one has to first review the concepts and definitions associated with analytical method systems and specifications. In this study, the experimental analytical values for a series of low level standards (for an ionic species) were used as an example to estimate two different method detection limits (MDL). The scores of EPA's MDL and Pallesen's MDL determined by real analytical scores are 0.0575 and 0.0561 mg/L, respectively for our nitrate data. These scores determined by two different MDL models are roughly similar, while there are apparent differences between two methods with respect to statistical and systematical procedure. However, determination of MDL for one's laboratory provides some practical applications which helps to assure one's regulating authorities that one's measured scores are accurate.

• Proceedings of the KIEE Conference
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• 2007.11c
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• pp.112-116
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• 2007

If any of the set parameters such as the environment temperature, mold temperature are not maintained at a consistent level, the fail rate of injection molding products is increased. The price of the injection molding machine is very high, so in order to maximize the utilization of the machine that is required the production of a number of different products with minimum fail rate using a single machine. To prevent the defect products by an inspection process with perfect quality is very important to minimizing production of defect products in the molding process. Vision inspection systems are widely utilized in various manufacturing industries for quality assurance purposes. The vision inspection system consists of CCD camera and lighting system to capture the image of the subject of inspection, an image comparison algorithm using to determine the pass/fail of the products, and mechanical devices for the operation of the whole system. This research focuses on the development of the vision inspection system to process the inspection of an automobile parts. We developed a mechanical devices for the inspection of the injection molding products and an image comparison algorithm to determine the pass/fail result of the inspection based on the molding image and the accepted product image.

• Journal of Korean Academy of Nursing
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• v.35 no.4
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• pp.649-655
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• 2005

The purpose of this study was to identify the perception of nurse experts on the contribution of nursing interventions to Nursing Outcomes Classification NOC nursing outcomes. A nursing outcome is a nursing-sensitive patient outcome primarily affected by nursing interventions. As one of the standardized language systems of nursing outcomes, the NOC must be examined for applicability before it is used in Korea. Data were collected in February and March 2003 using a 5-point Likert scale. For data collection, 230 quality improvement (QI) or quality assurance (QA) nurses from general hospitals in Korea were asked to rate the extent that nursing interventions contribute to each of the NOC nursing outcomes (2000) in their hospitals. Ninety-six nurses from 63 hospitals responded and the response rate was $41.7\%$. Mean scores for perception of contribution of nursing interventions to each of the NOC nursing outcomes ranged from 2.18 to 4.54. Vital Signs Status had the highest score (M = 4.54), and Abuse Recovery: Financial, the lowest score (M = 2.18). Of the seven NOC domains, the mean score was highest for Physiologic Health (M = 3.91) and lowest for Community Health (M = 2.92). Of the 29 NOC classes, the mean score for perceived contribution was highest for Metabolic Regulation (M = 4.32) and lowest for Community Well-Being (M = 2.92). Participants perceived that nursing interventions in general hospitals in Korea contributed, at least to a certain extent, to most of the NOC nursing outcomes. Based on these results, NOC should have relatively good applicability in Korea.

• Clinical Endoscopy
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• v.57 no.3
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• pp.302-308
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• 2024

With incessant advances in information technology and its implications in all domains of our lives, artificial intelligence (AI) has emerged as a requirement for improved machine performance. This brings forth the query of how this can benefit endoscopists and improve both diagnostic and therapeutic endoscopy in each part of the gastrointestinal tract. Additionally, it also raises the question of the recent benefits and clinical usefulness of this new technology in daily endoscopic practice. There are two main categories of AI systems: computer-assisted detection (CADe) for lesion detection and computer-assisted diagnosis (CADx) for optical biopsy and lesion characterization. Quality assurance is the next step in the complete monitoring of high-quality colonoscopies. In all cases, computer-aided endoscopy is used, as the overall results rely on the physician. Video capsule endoscopy is a unique example in which a computer operates a device, stores multiple images, and performs an accurate diagnosis. While there are many expectations, we need to standardize and assess various software packages. It is important for healthcare providers to support this new development and make its use an obligation in daily clinical practice. In summary, AI represents a breakthrough in digestive endoscopy. Screening for gastric and colonic cancer detection should be improved, particularly outside expert centers. Prospective and multicenter trials are mandatory before introducing new software into clinical practice.