• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제12권2호
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• pp.119-131
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• 2008

The paper considers the computation method in the performance evaluation of cellular network in the phase-type distribution assumptions that the channel holding times induced from mobility are modeled by well-fitted distributions to reflect an actual situation. When ww consider a phase-type distribution model instead of exponential distribution, the complexity of the computation increase exponential even though the accuracy is improved. We consider an efficient numerical algorithm to compute the performance evaluations in cellular networks such as a handoff call dropping probability, new call blocking probability, and handoff arrival rate. Numerical experiment shows that numerical analysis results are well approximated to the results of simulation.

• 한국추진공학회지
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• 제18권1호
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• pp.42-49
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• 2014

설계성능이 검증된 70 N급 하이드라진 추력기에 대한 성능평가 시험이 수행되었다. 각각의 개발모델 추력기는 추력실 직경 변화에 따라 펄스모드로 연소시험이 수행되었으며, 비추력, 임펄스 비트 및 특성속도 등의 성능변수로 평가되었다. 추력실 직경의 증가와 감소에 따라 비추력과 특성속도가 감소하였으며, 성능평가 결과 표준모델의 성능특성이 가장 우수한 것으로 확인되었다.

• 대한지구과학교육학회지
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• 제1권1호
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• pp.1-13
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• 2008

The purpose of this research is to accomplish the goal of science education based in the seventh science course of study by suggesting the plan for development of executable method in the learning process of Earth Science education and establishing a practical model to evaluate its achievement. Furthermore, the idea of this research is to recognize a way of using and consideration at practical use of the model. Since the purpose of the educational evaluation is to maximize the efficiency of school studying, there are some negative aspects in our current method of evaluation to achieve the purpose. New system has been introduced into the educational evaluation to resolve such a critical issue. Despite some positive aspects in the system, it could not be escaped from the multiple choice and pens examination. This could be caused by in various limitations, especially the insufficiency of teachers' awareness and the data about the Performance assessment. This research is to develop and use the practical model for the Performance assessment in consideration of current educational circumstances of Junior and High school. The model of the Performance assessment in this research is to sufficiently evaluate student's ability and skill in the learning process of Earth Science education. Hence, it is dedicated to the education for human being and improve quality in the learning process of the Earth Science education among the modern society, which is characterized globalization and information. Furthermore, it may promote the growth of various character of students and increase creativity and skill for the problem solving.

• 한국지구과학회지
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• 제42권6호
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• pp.605-622
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• 2021

Seasonal forecasting has numerous socioeconomic benefits because it can be used for disaster mitigation. Therefore, it is necessary to diagnose and improve the seasonal forecast model. Moreover, the model performance is partly related to the ocean model. This study evaluated the hindcast performance in the upper ocean of the Global Seasonal Forecasting System version 5-Global Couple Configuration 2 (GloSea5-GC2) using a multivariable integrated evaluation method. The normalized potential temperature, salinity, zonal and meridional currents, and sea surface height anomalies were evaluated. Model performance was affected by the target month and was found to be better in the Pacific than in the Atlantic. An increase in lead time led to a decrease in overall model performance, along with decreases in interannual variability, pattern similarity, and root mean square vector deviation. Improving the performance for ocean currents is a more critical than enhancing the performance for other evaluated variables. The tropical Pacific showed the best accuracy in the surface layer, but a spring predictability barrier was present. At the depth of 301 m, the north Pacific and tropical Atlantic exhibited the best and worst accuracies, respectively. These findings provide fundamental evidence for the ocean forecasting performance of GloSea5.

• 한국컴퓨터정보학회논문지
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• 제13권7호
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• pp.19-27
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• 2008

컴퓨팅 자원 사용에 제약이 많은 임베디드 소프트웨어 개발에 있어서 성능 분석 도구는 품질 개선을 위해 매우 중요한 역할을 한다. 그러나 기존 임베디드 소프트웨어 성능 분석 도구들은 단일 개발자의 교차개발 지원을 위한 성능분석 환경만을 제공하기 때문에 임베디드 소프트웨어를 위한 협업 성능분석 도구로서 활용될 수 없다. 본 논문에서는 협업 환경에서 임베디드 소프트웨어 성능 분석을 효과적으로 수행하기 위한 서버 기반의 새로운 성능 분석도구를 제안한다. 제안하는 성능분석 도구는 개발 소프트웨어에 대해 실행한 성능 분석로그를 협업 개발자들 기호에 맞는 다양한 그래픽 뷰로 생성하여 개발자간의 신속하고 효율적인 정보 공유를 가능하게 함으로써 프로그램의 성능 향상을 위한 개발자의 성능 분석 환경을 크게 개선할 수 있다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1995년도 춘계공동학술대회논문집; 전남대학교; 28-29 Apr. 1995
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• pp.79-90
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by authors, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE is consisted of four modules: a knowledge base to select an appropriate equipment type, a multiple criteria decision making procedure to choose the most favorable commercial model of the selected equipment type, a database to store the list of commercial models of equipment types with their specifications, and simulators to evaluate the performance of the equipment model. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2020년도 봄 학술논문 발표대회
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• pp.94-95
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• 2020

This paper introduces the mix design and performance evaluation of Ultra-High Performance Concrete (UHPC). The concrete mixture is designed to achieve a densely compacted cementitious matrix via the modified Andreasen & Andersen particle packing model. The compressive strengths of UHPC designed by this method reached 154MPa. The relationship between packing theory and compressive strength of UHPC is discussed in this paper.

• 한국지진공학회논문집
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• 제23권4호
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• pp.211-219
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• 2019

In this study, SMG(Smart Material with Grease) was developed, which was improved the precipitation minute particle in grease during long term standstill. Also, small-sized cylinder damper equipped with an electromagnet in a piston was developed for using a performance evaluation of the damper with SMG and the dynamic load test, and damping force using Power model and Bingham model was derived in order to compare to the result of that of the damper. The data obtained from the dynamic load test were analyzed and plotted, and then a dynamic range was calculated to evaluate the usability of the damper with SMG. The performance of the damper with SMG was compared to the damping forse derived from the Power and Bingham model. The result of this evaluation shown that the usability of SMG damper was demonstrated by this test as a semi-active controlling equipment of small-sized damper.

• 대한방사선기술학회지:방사선기술과학
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• 제45권1호
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• pp.41-47
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• 2022

The purpose of this study is to apply a deep learning model that can distinguish lung perfusion and lung ventilation images in nuclear medicine, and to evaluate the image classification ability. Image data pre-processing was performed in the following order: image matrix size adjustment, min-max normalization, image center position adjustment, train/validation/test data set classification, and data augmentation. The convolutional neural network(CNN) structures of VGG-16, ResNet-18, Inception-ResNet-v2, and SE-ResNeXt-101 were used. For classification model evaluation, performance evaluation index of classification model, class activation map(CAM), and statistical image evaluation method were applied. As for the performance evaluation index of the classification model, SE-ResNeXt-101 and Inception-ResNet-v2 showed the highest performance with the same results. As a result of CAM, cardiac and right lung regions were highly activated in lung perfusion, and upper lung and neck regions were highly activated in lung ventilation. Statistical image evaluation showed a meaningful difference between SE-ResNeXt-101 and Inception-ResNet-v2. As a result of the study, the applicability of the CNN model for lung scintigraphy classification was confirmed. In the future, it is expected that it will be used as basic data for research on new artificial intelligence models and will help stable image management in clinical practice.

• 비파괴검사학회지
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• 제29권3호
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• pp.230-234
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• 2009

As concrete ages, the surrounding environment is expected to have growing influences on the concrete. As all the impacts of the environment cannot be considered in the strength-estimating model of a nondestructive concrete test, the increase in concrete age leads to growing uncertainty in the strength-estimating model. Therefore, the variation of the model error increases. It is necessary to include those impacts in the probability model of concrete strength attained from the nondestructive tests so as to build a more accurate reliability model for structural performance evaluation. This paper reviews and categorizes the existing strength-estimating statistical models of nondestructive concrete test, and suggests a new form of the strength-estimating statistical models to properly reflect the model uncertainty due to aging of the concrete. This new form of the statistical models will lay foundation for more accurate structural performance evaluation.