• 한국정보과학회논문지:시스템및이론
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• 제35권3호
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• pp.111-119
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• 2008

본 논문에서는 차별화 서비스를 지원하는 웹 서버의 응답시간 성능을 향상시키기 위해 기존의 동적 성능 분리 기법에 퍼지 기법을 접목한다. 특히, 클러스터 기반 웹서버 시스템의 부하량에 대한 판단 기준 흑은 사용자 요청율 및 동적요청 비율 변화시에 발생하는 애매모호한 상황을 효과적으로 반영하기 위해, 퍼지제어 기법에 기초한 로드분배 메커니즘을 제안하였다. 이를 통해, 기존의 퍼지 기법을 활용하지 않은 성능분리 기법과 퍼지기법을 활용한 경우에 대해 응답시간(95-percentile of Response Time) 성능비교 평가를 통해 퍼지기반의 성능분리 기법이 차별화 서비스 시스템의 성능을 더욱 강건하고 효율적으로 향상시킬 수 있다는 점을 검증하였다.

• Journal of Korea Trade
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• 제27권1호
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• pp.159-175
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• 2023

Purpose - This paper empirically investigates the relationship between born global strategy and the accounting- and market- based financial performance of Korean firms. Further, this study identifies the characteristics of born global firms (BGs) in comparison with non-BG counterparts in terms of size, R&D, and liability. Design/methodology - Using a database of listed Korean SMEs in the manufacturing sector from 2010 to 2020, this study applies panel generalized least squares (GLS) estimation and logistic regression techniques. Findings - This study finds that BG strategy is negatively related to the firm's accounting-based financial performance, while it is positively related to the market-based financial performance. This study also finds that BGs have higher sales volume and more total assets compared to their non-BG counterparts. In addition, Korean BGs spend more on R&D, and at the same time have higher liability. Originality/value - BGs, by definition, are firms that are actively penetrating foreign markets from the early stages of their establishment. Previous studies of Korean BGs have tried to identify the determinants of BGs' rapid internationalization and their superior performance. However, most of these studies have utilized either qualitative case- or survey-based analyses with relatively limited numbers of observations. From a different perspective, this study provides more objective evidence by investigating how the BG strategy affects the financial and market performance of firms, and by characterizing BGs in terms of financial data.

• JSTS:Journal of Semiconductor Technology and Science
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• 제14권3호
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• pp.284-299
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• 2014

Coarse-grained reconfigurable architecture (CGRA)-based multi-core architecture aims at achieving high performance by kernel level parallelism (KLP). However, the existing CGRA-based multi-core architectures suffer from much energy and performance bottleneck when trying to exploit the KLP because of poor resource utilization caused by insufficient flexibility. In this work, we propose a new ring-based sharing fabric (RSF) to boost their flexibility level for the efficient resource utilization focusing on the kernel-stream type of the KLP. In addition, based on the RSF, we introduce a novel inter-CGRA reconfiguration technique for the efficient pipelining of kernel-stream on CGRA-based multi-core architectures. Experimental results show that the proposed approaches improve performance by up to 50.62 times and reduce energy by up to 50.16% when compared with the conventional CGRA-based multi-core architectures.

• 대한설비관리학회지
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• 제23권4호
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• pp.57-64
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• 2018

User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2006년도 춘계학술발표회 논문집(I)
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• pp.310-313
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• 2006

The purpose of this study is to develop Performance Based Design Method based on application of Fragility Method. Fragility Method has been used in predicting failure of structure due to seismic action, However, development of Fragility Curve based on material or construction for PBD is developed, This paper suggests that Fragility Method can be modified for PBD and can assess the performance of concrete material or construction.

• Journal of information and communication convergence engineering
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• 제10권2호
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• pp.141-148
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• 2012

This paper presents a simple but efficient scheme incorporating a reputation-based approach and a cross-layer approach, called the SIM scheme, for maintaining reliable connectivity and high performance in ad-hoc wireless networks. The SIM scheme incorporates the following two things: an ad-hoc routing scheme with a reputation-based approach exploiting the game theory concept based on an evolutionarily stable strategy, and a cross-layer approach between the network layer and the transport layer employing a reputation-based approach.

• Advances in concrete construction
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• 제5권3호
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• pp.201-219
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• 2017

With the rapid growth in construction sector, it becomes all the more important to assess the amount of Construction and Demolition (C&D) waste being generated and analyze the practices needed to handle and use this waste before final disposal. This serves waste management and disposal issues, paving way to waste utilization in construction industry from the sustainability point of view. C&D waste constitutes a major bulk of total solid waste produced in the world. In this work, an attempt is made to study the performance of concrete using water soaked Recycled Coarse Aggregates (RCA) in replacement levels of 0%, 25%, 50%, 75% and 100% to Natural Coarse Aggregates (NCA). Experiments were designed and conducted to study the performance of RCA based concrete. Further suitable performance enhancement techniques to RCA based concrete were attempted, to achieve compressive strength at least equal to or more than that for no RCA based concrete (control concrete). Performance enhancement study is reported here for 50% and 100% RCA based concretes. All four techniques attempted have given favorable results encouraging use of RCA based concretes with full replacement levels, to adopt RCA based concrete in structural applications, without any kind of concern to the stake holder. Further attempts have also been made to use Recycled Fine Aggregates (RFA) with appropriate modifications to serve as fine aggregates in mortar and concrete. Using RFA blended with river sand fractions as well as RFA with Iron Ore Tailings (IOT) fractions, have given good results to serve as fine aggregates to the extent of 100% replacement levels in mortars and concretes.

• 성인간호학회지
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• 제24권1호
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• pp.20-30
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• 2012

Purpose: This study was to explore the gap between awareness and performance toward evidence-based pain management in older adults for the purpose of establishing baseline data for evidence-based pain management protocol development and dissemination. Methods: The subjects were 290 staff nurses from three general hospitals. Self administered questionnaires were used to collect the data and the results of the study were analyzed with descriptive statistics, t-test, ANOVA and Pearson's correlation. Results: There were statistically significant differences between awareness and performance in pain assessment (t=17.31, $p$ <.001), patient and family education (t=17.33, $p$ <.001), pharmacologic management (t=12.99, $p$ <.001), non pharmacological management (t=16.28, p<.001), and evaluation of effectiveness (t=11.70, $p$ <.001). There were also statistically significant differences in awareness and performance according to the workplace, knowledge, and usual performance. Conclusion: The study showed that the hospital nurses' performance about evidence-based pain management in older adults was lower than their awareness level thus indicating significant gaps between evidence and actual practice. To ensure effective pain care, the factors contributing to these gaps need to be analyzed to identify the barriers. In addition, the evidence-based pain management guideline suitable for various clinical settings needs to be developed and disseminated.

• 한국화재소방학회논문지
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• 제30권5호
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• pp.18-25
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• 2016

국내 성능위주설계 방법 및 기준에서는 다양한 입력 데이터들에 대한 입력 규정이 따로 마련되어있지 않으며, 설계자별로 인용하는 근거 데이터가 상이하여 피난허용시간과 피난완료시간에 많은 차이를 보이고 있다. 이는 성능위주 화재와 피난 시뮬레이션에 대한 신뢰도 문제와도 직결되고 있다. 시뮬레이션에 입력되는 다양한 데이터들을 표준화함으로서 설계자의 경험이나 기술능력에 무관하게 동일한 위험도의 건물에서는 동일한 결과가 도출되어야 한다. 또한 그 위험도 합당한 소방 방재설비가 설치되고 유사한 성능위주 대상 건물에서는 개연성 있는 초기투자비용이 소요됨으로서 효율적이고 효과적인 안전 확보가 이루어져야 할 것으로 판단된다.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.279-286
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• 2013

This paper introduces a new method for identification of building energy performance problems. The presented method is based on automated analysis and visualization of deviations between actual and expected energy performance of the building using EPAR (Energy Performance Augmented Reality) models. For generating EPAR models, during building inspections, energy auditors collect a large number of digital and thermal imagery using a consumer-level single thermal camera that has a built-in digital lens. Based on a pipeline of image-based 3D reconstruction algorithms built on GPU and multi-core CPU architecture, 3D geometrical and thermal point cloud models of the building under inspection are automatically generated and integrated. Then, the resulting actual 3D spatio-thermal model and the expected energy performance model simulated using computational fluid dynamics (CFD) analysis are superimposed within an augmented reality environment. Based on the resulting EPAR models which jointly visualize the actual and expected energy performance of the building under inspection, two new algorithms are introduced for quick and reliable identification of potential performance problems: 1) 3D thermal mesh modeling using k-d trees and nearest neighbor searching to automate calculation of temperature deviations; and 2) automated visualization of performance deviations using a metaphor based on traffic light colors. The proposed EPAR v2.0 modeling method is validated on several interior locations of a residential building and an instructional facility. Our empirical observations show that the automated energy performance analysis using EPAR models enables performance deviations to be rapidly and accurately identified. The visualization of performance deviations in 3D enables auditors to easily identify potential building performance problems. Rather than manually analyzing thermal imagery, auditors can focus on other important tasks such as evaluating possible remedial alternatives.