• Journal of Electrical Engineering and Technology
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• 제8권5호
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• pp.1188-1193
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• 2013

In content based image retrieval (CBIR) system, the images are represented based upon its feature such as color, texture, shape, and spatial relationship etc. In this paper, we propose a MRI Image Retrieval using wavelet transform with mahalanobis distance measurement. Wavelet transformation can also be easily extended to 2-D (image) or 3-D (volume) data by successively applying 1-D transformation on different dimensions. The proposed algorithm has tested using wavelet transform and performance analysis have done with HH and $H^*$ elimination methods. The retrieval image is the relevance between a query image and any database image, the relevance similarity is ranked according to the closest similar measures computed by the mahalanobis distance measurement. An adaptive similarity synthesis approach based on a linear combination of individual feature level similarities are analyzed and presented in this paper. The feature weights are calculated by considering both the precision and recall rate of the top retrieved relevant images as predicted by our enhanced technique. Hence, to produce effective results the weights are dynamically updated for robust searching process. The experimental results show that the proposed algorithm is easily identifies target object and reduces the influence of background in the image and thus improves the performance of MRI image retrieval.

• Journal of Construction Engineering and Project Management
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• 제6권3호
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• pp.1-7
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• 2016

The purpose of this paper is to develop a model for selecting the best contractor in the Gaza Strip using the Artificial Neural Network (ANN). The contractor's selection methods and criteria were identified using a field survey. Fifty four engineers were asked to fill a questionnaire that covers factors related to the selection criteria of contractors practiced in Gaza Strip. The results shows that the dominant part of respondents (91%) confirmed that the current awarding method "the lowest bid price" is considered one of the major problems of the construction sector, "award the bid to the highest weight after combination of the technical and financial scores" represented 50% of the respondents. The criteria weights were determined based on Relative Importance Index (RII. Ninety-one tenders(13 projects) were used to train and test the ANN model after re-evaluating the contractors depend on the weights of factors to select the best contractor who achieves the highest score. Neurosolution software was used to train the models. The results of the trained models indicated that neural network reasonably succeeded in selection the best contractor with 95.96% accuracy. The performed sensitivity analysis showed that the profitability and capital of company are the most influential parameters in selection contractors. This model gives chance to the owner to be more accurate in selecting the most appropriate contractor.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.1-13
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• 2021

Previous studies have found the significant adverse effects of coronavirus disease 2019 (COVID-19) on stock returns and volatility. The effects varied with the confirmed cases and deaths. However, the extent of the effects have never been measured exactly. This study proposes a measurement model for the COVID-19 effects. In the proposed model, stock returns in the COVID-19 period are weighted averages of pre-COVID-19 normal returns and COVID-19-induced returns. The effects are measured by the contributing weights of the COVID-19-induced returns. Kalman filtering is used to estimate the model for the world and Chinese markets, in combination with 10 markets - five most affected countries (United States, India, Brazil, Russia, and France) and five best recovering countries (Hong Kong, Australia, Singapore, Thailand, and South Korea). The sample returns are daily, obtained from the closing Morgan Stanley global investable market indexes. The full period is from September 24, 2018, to October 30, 2020, whereas the COVID-19 period is from November 18, 2019, to October 30, 2020. The contributing weights are significant and close to 100% for all markets. The COVID-19-induced returns replace the pre-COVID-19 normal returns; they are negatively auto-correlated and highly volatile. The COVID-19-induced returns are new normal returns in the COVID-19 period.

• Mycobiology
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• 제41권1호
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• pp.47-55
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• 2013

Rhizoctonia solani, Fusarium solani, F. oxysporum, and Macrophomina phaseolina were found to be associated with root rott and wilt symptoms of faba bean plants collected from different fieldes in New Valley governorate, Egypt. All the obtained isolates were able to attack faba bean plants (cv. Giza 40) causing damping-off and root rot/wilt diseases. R. solani isolates 2 and 5, F. solani isolate 8, F. oxysporum isolate 12 and M. phaseolina isolate 14 were the more virulent ones in the pathogenicity tests. Biocontrol agents (Trichoderma viride and Bacillus megaterium) and chemical inducers (salicylic acid [SA] and hydrogen peroxide) individually or in combination were examined for biological control of damping-off and root rot/wilt and growth promoting of faba bean plants in vitro and in vivo. Both antagonistic biocontrol agents and chemical inducers either individually or in combination inhibited growth of the tested pathogenic fungi. Biocontrol agents combined with chemical inducers recorded the highest inhibited growth especially in case SA + T. viride and SA + B. megaterium. Under green house and field conditions, all treatments significantly reduced damping-off and root rot/wilt severity and increased of survival plants. Also, these treatments increased fresh and weights of the survival plants in pots compared with control. The combination between biocontrol agents and chemical inducers were more effective than used of them individually and SA + T. viride was the best treatment in this respect. Also, under field conditions, all these treatments significantly increased growth parameters (plant height and number of branches per plant) and yield components (number of pods per plant and number of seeds per plant, weight of 100 seeds and total yield per feddan) and protein content in both seasons (2010~2011 and 2011~2012). Faba bean seeds soaked in SA + T. viride and SA + B. megaterium were recorded the highest growth parameters and yield components. Generally, the combination between biocontrol agents and chemical inducers recorded the best results for controlling damping-off and root rot/wilt diseases in greenhouse and field with addition improved plant growth and increased yield components in field.

• Asian-Australasian Journal of Animal Sciences
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• 제31권2호
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• pp.163-166
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• 2018

Objective: Microminipigs are a novel animal model with extensive applications in laboratory studies owing, in part, to their extremely small body sizes. In this study, the relationship between swine leukocyte antigen (SLA) class II haplotype and body weight was evaluated in the Microminipig population. Methods: A total of 1,900 haplotypes, covering SLA class II haplotypes Lr-0.7, Lr-0.23, Lr-0.17, Lr-0.37, Lr-0.16, Lr-0.11, Lr-0.13, and Lr-0.18, were analyzed in 950 piglets. Birth weights and weights on postnatal day 50 were examined in piglets with eight different SLA class II haplotypes. Results: The mean birth weight of piglets with the Lr-0.23 haplotype (0.415 kg, n = 702) was significantly lower than that of piglets with Lr-0.17 (0.445 kg, n = 328) and Lr-0.37 (0.438 kg, n = 383) haplotypes. At postnatal day 50, the mean body weight of piglets with the Lr-0.23 haplotype (3.14 kg) was significantly lower than that of piglets with the Lr-0.13 haplotype (3.46 kg, p<0.01). There were no significant differences in daily gains (DGs) among the eight haplotypes. However, piglets with the Lr-0.11 and -0.18 haplotype combination or any heterozygous haplotype combinations containing Lr-0.23 had significantly lower DGs than those of piglets with the Lr-0.18, 0.37 haplotype combination. Conclusion: Piglets with the Lr-0.23 haplotype had relatively low body weights at birth and on postnatal day 50 and slightly lower DGs than those of piglets with other haplotypes. Therefore, the Lr-0.23 SLA class II haplotype may be a suitable marker for the selective breeding of Microminipigs with small body sizes.

• Asian-Australasian Journal of Animal Sciences
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• 제25권12호
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• pp.1667-1673
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• 2012

The objective of this study was to estimate economic weights of Hanwoo carcass traits that can be used to build economic selection indexes for selection of seedstocks. Data from carcass measures for determining beef yield and quality grades were collected and provided by the Korean Institute for Animal Products Quality Evaluation (KAPE). Out of 1,556,971 records, 476,430 records collected from 13 abattoirs from 2008 to 2010 after deletion of outlying observations were used to estimate relative economic weights of bid price per kg carcass weight on cold carcass weight (CW), eye muscle area (EMA), backfat thickness (BF) and marbling score (MS) and the phenotypic relationships among component traits. Price of carcass tended to increase linearly as yield grades or quality grades, in marginal or in combination, increased. Partial regression coefficients for MS, EMA, BF, and for CW in original scales were +948.5 won/score, +27.3 $won/cm^2$, -95.2 won/mm and +7.3 won/kg when all three sex categories were taken into account. Among four grade determining traits, relative economic weight of MS was the greatest. Variations in partial regression coefficients by sex categories were great but the trends in relative weights for each carcass measures were similar. Relative economic weights of four traits in integer values when standardized measures were fit into covariance model were +4:+1:-1:+1 for MS:EMA:BF:CW. Further research is required to account for the cost of production per unit carcass weight or per unit production under different economic situations.

• Reproductive and Developmental Biology
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• 제39권3호
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• pp.83-88
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• 2015

이 연구에서는 정소가 제거된 흰쥐에 비타민 E와 셀레늄(Selevit)을 5주간 투여 후 체중, 장기 무게, 혈액학적 그리고 생화학적 변화를 관찰하였다. 체중의 변화에서는 모든 실험군에서 증가가 나타냈다. Orch+Selevit군의 체중 증가는 $11.2{\pm}10.25g$으로 가장 낮았으며, Intact군, Sham군, Orch군과 비교 시 유의적으로 감소되었다. 장기 무게의 변화에서는 Orch+Selevit군의 심장과 간장 무게는 Intact군, Sham군과 비교 시 유의적으로 감소되었다. Intact군, Sham군, Orch군의 신장 무게는 Orch+Selevit군 비교 시 유의적인 증가를 확인하였다. 백혈구 수의 혈액학적 변화에서는 Orch+Selevit군은 다른 모든 군과 비교해 유의적인 증가를 확인하였으며, 적혈구수, 평균적혈구용적, 평균적혈구혈색소량, 평균적혈구색소농도 등과 같은 혈액학적 측정치에서는 유의성은 인정되지 않았다. 생화학적 변화에서는 Orch+Selevit군의 혈청총단백질, 알부민은 Orch군과 비교 시 유의적으로 증가하였으며, 알부민은 Intact군, Sham군 그리고 Orch군과 비교 시 유의적으로 감소했다. AST와 ALT는 모든 실험군에서 유의성이 없었다.

• 방송공학회논문지
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• 제20권5호
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• pp.782-785
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• 2015

그래픽스 등 컴퓨터로 합성한 영상을 일컫는 스크린 콘텐츠 비디오의 경우는 색대비가 높은 그래픽 요소로 인하여 예측 후에도 잔차 신호의 공간적 연관성이 여전히 높게 나타나므로 현 샘플의 가장 인접한 화소를 이용하는 residual differential pulse-code modulation (RDPCM) 기법을 효율적으로 적용할 수 있다. 본 논문에서는 잔차 신호의 주위 인접 화소의 가중 합으로 보다 정확한 예측의 RDPCM을 수행하는 부호화 기법을 제안한다. 각 가중 계수는 현재 잔차 신호의 인접 영역에서 왜곡 값에 L₁ 정규화를 포함한 비용함수를 최소화 하여 추정한다. 제안 기법은 스크린 콘텐츠 동영상 압축 참조 코덱 대비 약 3.1%의 부호화 성능 향상을 보인다.

• 대한한의학원전학회지
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• 제33권2호
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• pp.51-59
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• 2020

Objectives : We would like to study what is the most appropriate "feature" to effectively perform authorship attribution of the text of Traditional East Asian Medicine Methods : The authorship attribution performance of the Support Vector Machine (SVM) was compared by cross validation, depending on whether the function words or content words, single word or collocations, and IDF weights were applied or not, using 'Variorum of the Nanjing' as an experimental Corpus. Results : When using the combination of 'function words/uni-bigram/TF', the performance was best with accuracy of 0.732, and the combination of 'content words/unigram/TFIDF' showed the lowest accuracy of 0.351. Conclusions : This shows the following facts from the authorship attribution of the text of East Asian traditional medicine. First, function words play an important role in comparison to content words. Second, collocations was relatively important in content words, but single words have more important meanings in function words. Third, unlike general text analysis, IDF weighting resulted in worse performance.

• 한국지능시스템학회논문지
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• 제10권4호
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• pp.351-356
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• 2000

정보 검색은 사용자가 필요로 하는 요구에 가장 적합한 정보를 검색할수 있어야 한다. 정보 검색에서 질의어가 문서에 대하여 어느 정도의 유사성을 가지고 존재하는냐를 기준으로 문서를 순서화 할 때, 실제 순서화된 문서들을 보면 질의어와는 다른 문서들이 순서화 되는 경우를 볼 수 있다. 따라서 본 논문에서는 확장 퍼지 개념 네트워크에 근거 문서 검색을 위한 순의 결정 방법을 제안한다. 확장 퍼지 개념 네트워크에는 개념들 사이에 4가지의 퍼지 관계가 있다. 퍼지 양의 조합, 퍼지 음의 조합, 퍼지 일반화, 및 퍼지 세분화등이 있다. 확장 퍼지 개념 네트워크는 관계 행렬과 관련 행렬로 모델화 하여, 유사도 측정을 하였다.