• 전자공학회논문지B
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• 제33B권3호
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• pp.120-125
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• 1996

A new hit-and-miss ratio transform is introduced as a modified hit-and-miss transform to be robust to noise, which uses a quasi-matching technique based on the fitting ratio functions. And a new gray-level object segmentation algorithm is proposed, which is based on the hit-and-miss ratio transform and threshold decomposition. The proposed segmentation images, and is similarly applicable to segmentation of an object with specific shapes form natural real images.

• 인터넷정보학회논문지
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• 제5권6호
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• pp.103-110
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• 2004

본 논문에서는 웹 서버 성능에 있어 캐싱 정책의 영향을 분석하고 연구하였다. 새롭게 제안한 파일 타입 기반 캐싱 정책은 캐시안의 크고 작은 파일간에 균형 잡힌 결과를 갖도록 지원하며, 뿐만 아니라 작은 파일과 큰 파일에 대한 요청에 훌륭한 성능을 나타낸다. 본 논문에서는 파일 타입 기반 캐싱이 적중률과 바이트적중률 모두 다 좋은 결과를 나타냄을 보인다.

• 한국통신학회논문지
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• 제25권4B호
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• pp.783-787
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• 2000

현재 사용되고 있는 개인용 컴퓨터의 중앙처리장치로서 주종을 이루고 있는 마이크로프로세서는 256KB, 혹은 512KB의 L2(Second Level) 캐쉬를 Direct Mapping, 32B 라인사이즈, 그리고 Write Allocation을 채택하지 않는 형태로 사용하고 있는데, 이러한 L2 캐쉬에서 Mapping 방식을 8-way Set Associative Mapping Procedure로 바꾸고, 라인사이즈를 늘려서 128B 이상으로 변경하고, 그리고 Write Allocation을 채택하였을 경우 그 적중률(Hit Ratio)이 약간의 하드웨어적 추가 비용만으로 2.5% 정도 개선됨을 확인하였다.

• Journal of Information Technology Applications and Management
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• 제15권4호
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• pp.21-36
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• 2008

As the great disturbance from abusing credit cards in Korea becomes stabilized, credit card companies need to interpret credit-card delinquents classification models from the viewpoint of profit. However, hit ratio which has been used as a measure of goodness of classification models just tells us how much correctly they classified rather than how much profits can be obtained as a result of using classification models. In this research, we tried to develop a new utility-based measure from the viewpoint of profit and then used this new measure to analyze two classification models(Neural Networks and Decision Tree models). We found that the hit ratio of neural model is higher than that of decision tree model, but the utility value of decision tree model is higher than that of neural model. This experiment shows the importance of utility based measure for credit-card delinquents classification models. We expect this new measure will contribute to increasing profits of credit card companies.

• 제어로봇시스템학회논문지
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• 제4권4호
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• pp.499-505
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• 1998

In developing an automated surface inspect algorithm, we have designed a hierarchical classifier using neural network. The defects which exist on the surface of cold mill strip have a scattering or singular distribution. We have considered three major problems, that is preprocessing, feature extraction and defect classification. In preprocessing, Top-hit transform, adaptive thresholding, thinning and noise rejection are used Especially, Top-hit transform using local minimax operation diminishes the effect of bad lighting. In feature extraction, geometric, moment, co-occurrence matrix, and histogram ratio features are calculated. The histogram ratio feature is taken from the gray-level image. For defect classification, we suggest a hierarchical structure of which nodes are multilayer neural network classifiers. The proposed algorithm reduced error rate by comparing to one-stage structure.

• Journal of Information Processing Systems
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• 제18권6호
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• pp.803-812
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• 2022

With the increasing number of mobile device users worldwide, utilizing mobile edge computing (MEC) devices close to users for content caching can reduce transmission latency than receiving content from a server or cloud. However, because MEC has limited storage capacity, it is necessary to determine the content types and sizes to be cached. In this study, we investigate a caching strategy that increases the hit ratio from small base stations (SBSs) for mobile users in a heterogeneous network consisting of one macro base station (MBS) and multiple SBSs. If there are several SBSs that users can access, the hit ratio can be improved by reducing duplicate content and increasing the diversity of content in SBSs. We propose a Deep Q-Network (DQN)-based caching strategy that considers time-varying content popularity and content redundancy in multiple SBSs. Content is stored in the SBS in a divided form using maximum distance separable (MDS) codes to enhance the diversity of the content. Experiments in various environments show that the proposed caching strategy outperforms the other methods in terms of hit ratio.

• 한국자원식물학회지
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• 제25권2호
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• pp.184-192
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• 2012

본 연구는 췌장베타세포인 HIT-T15 세포를 이용하여 매실주정추출물(PME)의 alloxan에 의한 산화스트레스로부터의 세포보호, 인슐린 분비능 및 항산화 효소 활성을 평가하였다. PME는 alloxan에 의해 유발된 산화스트레스로부터 세포를 보호하여 세포생존율을 증가시켰다. PME는 세포막 손상지표인 LDH 방출을 억제하였고 $NAD^+$/NADH ratio를 유의적으로 증가시켜 세포사멸이 억제되어짐을 확인하였다. 또한 alloxan 단독처리군에 비해 250 ${\mu}g$/ml PME 처리군에서 인슐린 분비량이 유의성 있게 증가하였다. Alloxan과 PME를 동시에 처리하여 HIT-T15세포의 항산화효소 활성을 측정했을 때 산화스트레스에 의해 감소되었던 항산화효소 활성이 PME에 의해 보호되는 효과를 확인하였다. 이상의 연구결과로부터 PME는 세포괴사 및 DNA fragmentation을 억제하고 세포내 항산화효소 활성을 증가시켜 alloxan에 의해 유발된 산화스트레스로부터 췌장베타세포를 보호하고 이에 따른 인슐린 분비능 조절 효과가 있는 것으로 생각된다.

• 보건행정학회지
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• 제10권2호
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• pp.1-21
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• 2000

This study reviewde various parametic and nonparametic method for forexasting hospital closures in Korea. We compared multivariate discriminant analysis, multivartiate logistic regression, classfication and regression tree, and neural network method based on hit ratio of each model for forecasting hospital closure. Like other studies in the literture, neural metwork analysis showed highest average hit ratio. For policy and business purposes, we combined the four analytical method and constructed a foreasting model that can be easily used to predict the probabolity of hospital closure given financial information of a hospital.

• International Journal of Contents
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• 제3권1호
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• pp.14-18
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• 2007

General replacement policy includes document-based LRU or LFU technique and other various replacement policies are used to replace the documents within cache effectively. But, these replacement policies function only with regard to the time and frequency of document request, not considering the popularity of each web site. In this paper, we present the document replacement policies with regard to the popularity of each web site, which are suitable for modern network environments to enhance the hit-ratio and efficiently manage the contents of cache by effectively replacing documents on intermittent requests by new ones.

• 한국식품영양학회지
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• 제25권1호
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• pp.123-131
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• 2012

The objective of the present study was to evaluate the potential antidiabetic and antioxidant effect of the ethanol extract from Chrysanthemum cornarium L. var. spatiosum(CSE) against alloxan-induced oxidative stress in pancreatic ${\beta}$-cells, HIT-T15. In this study, the antidiabetic effect of CSE was examined using the 3-(4,5-dimethylthiazolyl-2)-2,5-diphenyltetrazoliu bromide(MTT) cell proliferation assay, lactate dehydrogenase(LDH) release assay, $NAD^+$/NADH ratio and insulin secretion. To further investigate whether CSE is involved in the antioxidant activity of alloxan-damaged HIT-T15 cells, its antioxidant effect against alloxan-induced oxidative stress was measured in HIT-T15 cells by determining the levels of antioxidant enzymes including superoxide dismutase(SOD), glutathione S-transferase(GST), glutathione reductase(GR) and glutathione peroxidase(GPx). The results of this analysis showed that alloxan significantly decreased cell viability, increased LDH leakage, and lowered $NAD^+$/NADH ratio and insulin secretion in HIT-T15 cells. However, CSE significantly increased the viability of alloxan-treated cells and lowered LDH leakage. The intracellular NAD+/NADH ratio and insulin secretion were also significantly increased by 1.7-fold and 1.3-fold, respectively, after treatment with 100 ${\mu}g/m{\ell}$ CSE. The HIT-T15 cells treated with alloxan showed significant decreases in the activities of antioxidant enzymes, while CSE significantly elevated the levels of antioxidant enzymes. These findings suggest that CSE could have a protective effect against cytotoxicity and dysfunction of pancreatic cells in the presence of alloxan-induced oxidative stress.