• Journal of the Korean Society for Industrial and Applied Mathematics
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• 제2권1호
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• pp.41-60
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• 1998

This paper derives a consistent and bias corrected extension of Akaike's Information Criterion (AIC), $AIC_{bc}$, based on Kullback-Leibler information. This criterion has terms that penalize the overparametrization more strongly for small and large samples than that of AIC. The overfitting problem of the asymptotically efficient model selection criteria for small and large samples will be overcome. The $AIC_{bc}$ also provides a consistent model order selection. Thus, it is widely applicable to data with small and/or large sample sizes, and to cases where the number of free parameters is a relatively large fraction of the sample size. Relationships with other model selection criteria such as $AIC_c$ of Hurvich, CAICF of Bozdogan and etc. are discussed. Empirical performances of the $AIC_{bc}$ are studied and discussed in better model order choices of a linear regression model using a Monte Carlo experiment.

• 수산해양기술연구
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• 제58권1호
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• pp.1-9
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• 2022

In this study, the selection action on the mesh in the net pot for whelk (Buccinum opisthoplectum) is experimentally considered, and the selectivity was compared by the SELECT model and the Nashimoto's method with the probability model according to the contact shape of the mesh and the whelk. The experiments of the mesh size selectivity was conducted for two mesh sizes: 70 mm (inner stretched size 65.4 mm) and 44 mm (inner stretched size 39.5 mm). Selectivity experiments were conducted three times in total for each mesh size used 264 whelks. In addition, Nashimoto's method analyzed the retention probability using probability model for whether the mesh passed or not based on the carapace width of the whelk. As a result of the selectivity analysis, the 50% selection carapace width for the mesh size of 70 mm was similar to 43.62 mm in the SELECT model and 42.64 mm in the Nashimoto's method. However, the 44 mm mesh with relatively small mesh size showed differences of 40.01 mm and 26.80 mm, respectively. As for the mesh size selectivity of whelk, it was found that the smaller the mesh size, the lower the selectivity. In addition, in the selectivity study on the mesh size of whelk, an evaluation method that closely considers the contact shape between the mesh and the target species is required.

• 정보처리학회논문지D
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• 제9D권5호
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• pp.887-896
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• 2002

SPICE(Software Process Improvement and Capability dEtermination) 평가 모형에 기반한 중소기업형 프로세스 개선 모형으로 SPIRE (Software Process Improvement in Regions of Europe)가 개발되어 제공되고 있다. 그러나 SPIRE에서는 조직의 경영 목적에 맞는 프로세스 선택을 위한 구체적인 지침이나 매핑을 제시하고 있지 못하다. 이 연구에서는 프로세스 선택시 활용할 수 있는 객관적인 경영 목표-프로세스간 매핑 참조 테이블을 작성하고, 이를 활용한 프로세스 선정 방안을 제시한다. 매핑 참조 테이블은 델파이 기법을 활용하여 국내 소프트웨어 프로세스 전문가들의 의견 수렴을 통해 작성되었다. 본 연구에서 제시된 프로세스 선정 기법은 매핑 참조 테이블과 해당 업체 관련자의 주관적인 매핑 정보를 종합적으로 활용하여 최종적으로 개선 대상 프로세스를 선정되도록 한다. 이 연구에서 제시된 선정 방법을 2개의 중소 소프트웨어 조직에 실제 적용하여 활용 가능성을 검토하였다. 매핑 참조 테이블을 사용하여 업체 관련자가 간과하고 있던 주요 프로세스를 평가 대상 프로세스로 선정할 수 있었다.

• 디지털융복합연구
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• 제13권9호
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• pp.201-208
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• 2015

SNS와 페이스북과 같은 서비스가 대중화되면서 마이크로블로그와 같은 작은 크기의 빅 데이터 사용이 증대되고 있다. 그러나, 현재까지 작은 크기의 빅 데이터의 탐색 결과의 정확성과 계산비용은 미해결 상태로 남아있다. 본 논문에서는 빅 데이터 환경에서 마이크로블러그와 같은 작은 크기의 텍스트 정보의 탐색 속도를 향상시키기 위한 확률기반의 서브넷 선택 기법을 제안한다. 제안 기법은 데이터의 속성 정보에 확률값을 부여하여 서브넷을 구성하여 데이터 탐색 속도를 높였다. 또한, 제안 기법은 분산된 데이터를 손쉽게 접근하기 위해서 서브넷을 구성하는 데이터 의확률값 간 연계 정보를 쌍으로 처리함으로써 데이터의 접근성을 향상시켰다. 실험결과, 제안 기법은 CELF 알고리즘보다 평균 6.8% 높은 탐지율을 보였으며, 처리시간은 평균 8.2% 단축시켰다.

• 한국의류학회지
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• 제47권1호
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• pp.73-84
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• 2023

This study aims to identify the current sizing communication issues of menswear on retail websites and to suggest an effective size information presentation method. Based on sales frequency and awareness in the Korean menswear market, 22 brand websites were selected, and size-related information was investigated using 7 types of representative apparel items. The current diverse types of size codes had limitations in delivering actual product size information. Many websites preferred to display garment dimensions rather than basic body measurements, which is the suggested size designation method in Korean Standard. The websites posted fit model photos and customer reviews. However, the body size specifications, which consumers can use as a useful reference, were often omitted. There was also a high uncertainty in product size selection, with only the basic body measurement information listed, and there was a high deviation of garment dimensions within the same basic body measurements. The product size distribution did not match actual Korean body types. Based on the findings, we suggested improved effective sizing communication methods. These methods will contribute to a better online shopping environment for both consumers and retail sellers.

• 대한두개안면성형외과학회지
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• 제20권1호
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• pp.17-23
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• 2019

Background: The resection of head and neck cancer can result in postoperative defect. Many patients have difficulty swallowing and masticating, and some have difficulty speaking. Various types of flaps are used for palatal reconstruction, but flap selection remains controversial. Therefore, our study will suggest which flap to choose during palatal reconstruction. Methods: Thirteen patients who underwent palatal reconstruction from 30 January, 1989 to 4 October, 2016 at our institution. Size was classified as small when the width was < $4cm^2$, medium when it was $4-6cm^2$, and large when it was ${\geq}6cm^2$. Based on speech evaluation, the subjects were divided into a normal group and an easily understood group. After surgery, we assessed whether flap selection was appropriate through the evaluation of flap success, complications, and speech evaluation. Results: Defect size ranged from $1.5{\times}2.0cm$ to $5.0{\times}6.0cm$. In four cases, the defect was in the anterior third of the palate, in eight cases it was in the middle, and there was one case of whole palatal defect. There were three small defects, two medium-sized defects, and eight large defects. Latissimus dorsi free flaps were used in six of the eight large defects in the study. Conclusion: The key to successful reconstructive surgery is appropriate selection of the flap with reference to the characteristics of the defect. Depending on the size and location of the defect, the profiles of different flaps should be matched with the recipient from the outset.

• 조명전기설비학회논문지
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• 제29권6호
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• pp.1-7
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• 2015

Road lighting is designed with a goal of achieving the related standards on luminance, uniformity ratio and glare. Unless the luminaire with LID which is perfect for road conditions is used, a situation which fails to meet lighting standards may occur. The study examined the relationship of maximum spacing with average road luminance and longitudinal uniformity. Based on the result of the analysis, this study evaluated luminaire with what characteristics are suitable to achieve lighting requirements of the roads and suggested methods of selection for luminaires depending on the size of the road.

• 한국통신학회논문지
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• 제34권9A호
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• pp.712-718
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• 2009

본 논문에서는 선박용 해양텔레매틱스(Maritime Telematics)를 위한 무선 PAN(WPAN: Wireless Personal Area Network) 시스템의 에너지 효율성을 결정하는 전송파라미터를 분석하여 최적의 전송파라미터 선택 방안을 제시한다. 본 논문에서 고려하는 WPAN 시스템은 IEEE 802.15.3의 TDMA 기반의 HR(high rate)-WPAN으로 선박네트워크에 적용할 경우에 고려 되어야하는 전송 파라미터를 분석하고 에너지를 절약할 수 있는 전송파라미터 결정방식에 대하여 제안한다. 특히 선박환경에서 에너지 소모량과 밀접한 채널 파라미터인 경로손실(path loss)을 결정하는 선박의 구성재질(철골구조의 대형선박, FRP소재의 중소형선박)과 HR-WPAN 전송파라미터들에 따른 에너지소모량을 분석하고 에너지 효율성을 극대화할 수 있는 선택방안을 제시한다. 시뮬레이션 결과 각 선박환경에 따라 전송률 선택방식, 전송전력 조절 방식 및 데이터 분할(fragment)크기의 선택에 따라 에너지 효율성능이 결정됨을 보였고 최적의 선택방안을 제시하였다.

• 한국통신학회논문지
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• 제34권10A호
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• pp.769-775
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• 2009

본 논문에서는 선박용 해양텔레매틱스(Maritime Telematics)를 위한 무선 PAN(WPAN: Wireless Personal Area Network) 시스템의 에너지 효율성을 결정하는 전송파라미터를 분석하여 최적의 전송파라미터 선택 방안을 제시한다. 본 논문에서 고려하는 WPAN 시스템은 IEEE 802.15.3의 TDMA 기반의 HR(high rate)-WPAN으로 선박네트워크에 적용할 경우에 고려되어야하는 전송 파라미터를 분석하고 에너지를 절약할 수 있는 전송파라미터 결정방식에 대하여 제안한다. 특히 선박환경에서 에너지 소모량과 밀접한 채널 파라미터인 경로손실(path loss)을 결정하는 선박의 구성재질(철골구조의 대형선박, FRP소재의 중소형선박)과 HR-WPAN 전송파라미터들에 따른 에너지 소모량을 분석하고 에너지 효율성을 극대화할 수 있는 선택방안을 제시한다. 시뮬레이션 결과 각 선박환경에 따라 전송률 선택방식, 전송전력 조절 방식 및 데이터 분할(fragment)크기의 선택에 따라 에너지 효율성능이 결정됨을 보였고 최적의 선택방안을 제시하였다.

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.232-240
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• 2022

To fulfill user expectations, the rapid evolution of software techniques and approaches has necessitated reliable and flawless software operations. Aging prediction in the software under operation is becoming a basic and unavoidable requirement for ensuring the systems' availability, reliability, and operations. In this paper, an improved evolutionary computing-driven extreme learning scheme (ECD-ELM) has been suggested for object-oriented software aging prediction. To perform aging prediction, we employed a variety of metrics, including program size, McCube complexity metrics, Halstead metrics, runtime failure event metrics, and some unique aging-related metrics (ARM). In our suggested paradigm, extracting OOP software metrics is done after pre-processing, which includes outlier detection and normalization. This technique improved our proposed system's ability to deal with instances with unbalanced biases and metrics. Further, different dimensional reduction and feature selection algorithms such as principal component analysis (PCA), linear discriminant analysis (LDA), and T-Test analysis have been applied. We have suggested a single hidden layer multi-feed forward neural network (SL-MFNN) based ELM, where an adaptive genetic algorithm (AGA) has been applied to estimate the weight and bias parameters for ELM learning. Unlike the traditional neural networks model, the implementation of GA-based ELM with LDA feature selection has outperformed other aging prediction approaches in terms of prediction accuracy, precision, recall, and F-measure. The results affirm that the implementation of outlier detection, normalization of imbalanced metrics, LDA-based feature selection, and GA-based ELM can be the reliable solution for object-oriented software aging prediction.