• Journal of applied mathematics & informatics
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• 제40권3_4호
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• pp.563-575
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• 2022

Many organizations seek statistical modelling facilitated by data analytics technologies for determining the prediction models associated with M&A (Merger and Acquisition). By combining these data analytics tool alongside with data collection approaches aids organizations towards M&A decision making, followed by achieving profitable insights as well. It promotes for better visibility, overall improvements and effective negotiation strategies for post-M&A integration. This paper explores on the impact of pre and post integration of M&A in a standard organizational setting via devising a suitable statistical model via employing techniques such as Naïve Bayes, K-nearest neighbour (KNN), and Decision Tree & Support Vector Machine (SVM).

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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• pp.191-200
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• 2020

This research paper examines the causal relationship between India's economic growth and sectoral contribution to Gross Domestic Product (GDP) and vice versa, in the short-run and long-run, over a 10 years time period. Johansen's method of cointegration is used to study the cointegration between the sectoral contributions to Indian GDP vis-à-vis India's economic growth. Further, the route of interconnection between economic growth and sectoral contribution is tested by using Vector Auto Regression (VAR) model. Special attention was given for investigating impulse responses of economic growth depending on the innovations in sectoral contribution using time-series data from 1960 to 2015. This paper highlighted a dynamic co-relationship among industrial sector contribution and agricultural sector contribution and economic development. In the long run, one percent change in industrial sector contribution causes an increase of 3.42 percent in the economic growth and an increase of 1.12 percent in the primary sector contribution, while in the short run industrial and service sector contributions showed significant impact on economic development and agriculture sector. The changing composition of sector contribution is going to be an important activity for the policymakers to monitor and control where the technology and integration of sectors play a significant role in economic development.

• 수산경영론집
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• 제46권3호
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• pp.31-49
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• 2015

This study examines whether or not the South Korean major fishery product import markets; Frozen Pollock, Frozen Long Arm Octopus, and Frozen Hairtail are integrated. We are utilizing the Multivariate and Bivariate Johansen Co-integration test to see if the law of one price(LOP) holds in each market or not. The empirical results show that even though import prices from different countries affect each other in each South Korean major fishery product import market, there is no evidence of LOP in any fishery product import market, which means that none of the markets are integrated. Based on these results, we could expect that the three major fishery product import markets show monopolistic competition among import countries. we would also see whether or not any country plays the role of a price leader in any of the markets. Based on weak exogeneity test results, we might expect that the United States and Malaysia are price leaders in the South Korean Frozen Pollock Import Market and Frozen Long Arm Octopus Import Market, respectively; however, we need to study more on this in the future.

• 한국생물공학회:학술대회논문집
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• 한국생물공학회 2003년도 생물공학의 동향(XIII)
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• pp.186-189
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• 2003

Helicobacter pylori is the etiologic agent of human gastritis and peptic ulceration and produces urease as the major protein component on its surface. H. pylori urease is known to serve as a potent immunogen as well as major virulence factor. In order to express the recombinant urease in tobacco plants, a DNA fragment containing the minimal H. pylori urease gene cluster was subcloned into a plant expression vector. The recombinant vector was transformed to tobacco plants. The integration of the recombinant plasmids into tobacco chromosomal genome was verified by genomic PCR. Expression to mRNA was confirmed by Northern blot analysis, and expression to recombinant urease protein was observed by Western blot analysis. These results showed that the recombinant urease can be produced in tobacco plants and will be tested for immune response to use as an edible vaccine.

• Journal of the Korean Statistical Society
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• 제18권1호
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• pp.13-25
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• 1989

This paper suggests a classification rule with unequal covariance matrices when a patterned incomplete data are involved in the discriminant analysis. This is an extension of Geisser's (1966) result to the case of missing observations. For the calssificaiton rule, we introduce an algorithm which contains data augmentation step and Monte Carlo integration step and show that the algorithm yields a consistant estimator of true classification probability. The proposed method is compared to the complete observation vector method through a Monte Carlo study. The results show that the suggested method, in general, performs better than the complete observation vector method which ignores those vectors of observation with one or more missing values from the analysis. The results also verify the consistency of the algorithm.

• Journal of Microbiology and Biotechnology
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• 제15권4호
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• pp.838-843
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• 2005

Brain-derived neurotrophic factor (BDNF) is a small secretory protein and a member of the nerve growth factor (NGF) gene family. We cloned the flounder BDNF gene from a flounder brain cDNA library. The nucleotide sequence of the cloned gene showed an open reading frame (ORF) consisting of 810 bp, corresponding to 269 amino acid residues. The tissue distribution of flounder BDNF was determined by reverse transcription-polymerase chain reaction (RT-PCR) in brain, embryo, and muscle tissues. To express fBDNF using a eukaryotic expression system, we constructed the vector mpCTV-BDNF containing the fBDNF gene and transformed this vector into Chlorella ellipsoidea. Stable integration of introduced DNA was confirmed by PCR analysis of genomic DNA, and mRNA expression in C. ellipsoidae was confirmed by RT-PCR analysis.

• Journal of Microbiology and Biotechnology
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• 제21권4호
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• pp.387-390
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• 2011

Nude mice (BALB/c) were grafted with human 293 cells and PERV (porcine endogenous retrovirus)-IRES-EGFP (a packageable retroviral vector plasmid containing an internal ribosome entry site-enhanced green fluorescent protein)-producing pig PK15 cells in order to determine whether the pig cells could transmit PERV-IRES-EGFP to mice and human 293 cells in vivo. None of the transplanted human 293 cell lines were infected by PERV, but PCR analysis identified PERV-B provirus integration into both the heart and salivary gland of the inoculated nude mice. Our data indicate that hearts and salivary glands can be used to identify PERV-B receptors.

• 한국콘텐츠학회:학술대회논문집
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• 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
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• pp.543-546
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• 2007

유동 가시화란 가시화 기술의 한 영역으로, 벡터 데이터를 2차원 또는 3차원의 형태로 시각적으로 표출하는 것을 말한다. 즉, 일반적으로 벡터 데이터는 (x, y, z)의 형식으로 이루어져 있는 수열의 집합인데, 이를 사람이 그 특징을 쉽게 인지할 수 있도록 그림 또는 애니메이션으로 표시하는 것을 말한다. 유동 가시화 기법에는 여러 가지가 있지만 영상 기반 유동 가시화 기법(IBFV)은 현존하는 조밀한 인티그레이션 기법들 중 가장 빠른 기법 중 하나이다. 본 논문에서는 GPU를 이용해서 영상 기반 유동 가시화 기법을 가속하고 이를 구현했는데, 특히, 메쉬어드벡션 (mesh advection)을 꼭지점 프로그램을 이용해서 가속했다.

• 한국정보시스템학회지:정보시스템연구
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• 제18권3호
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• pp.375-399
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• 2009

In this study, we propose a integrated model of logistic regression, artificial neural networks, support vector machines(SVM), with case-based reasoning(CBR). To predict respondents in the direct marketing is the binary classification problem as like bankruptcy prediction, IDS, churn management and so on. To solve the binary problems, we employed logistic regression, artificial neural networks, SVM. and CBR. CBR is a problem-solving technique and shows significant promise for improving the effectiveness of complex and unstructured decision making, and we can obtain excellent results through CBR in this study. Experimental results show that the classification accuracy of integration model using CBR is superior to logistic regression, artificial neural networks and SVM. When we apply the customer response model to predict respondents in the direct marketing, we have to consider from the view point of profit/cost about the misclassification.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2002년도 전력전자학술대회 논문집
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• pp.213-216
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• 2002

This paper describes a new approach to estimate induction motor speed from terminal voltages and currents for speed-sensorless vector control. This algorithm is based on Model Reference Adaptive System(MRAS). The proposed technique is simple and robust to the variation of motor parameters. Specially, this algorithm is not affected by the variation of stator resistance and it does not require any pure integration at all. The validity of this new approach is proved by simulations.