• Asian-Australasian Journal of Animal Sciences
• /
• v.12 no.7
• /
• pp.1129-1134
• /
• 1999

The rapid development of the sheep genetic linkage map over the last five years has given us the ability to follow the inheritance of chromosomal regions. Initially this powerful resource was used to find markers linked to monogenic traits but there is now increasing interest in using the genetic linkage map to define the complex of genes that control multigenic production traits. Of particular interest are those production traits that are difficult to measure and select for using classical quantitative genetic approaches. These include resistance to disease where a disease challenge (necessary for selection) poses too much risk to valuable stud animals and meat and carcass qualities which can be measured only after the animal has been slaughtered. The goal for the new millennium will be to fully characterise the genetic basis of multigenic production traits. The genetic linkage map is a vital tool required to achieve this.

• Bulletin of the Korean Chemical Society
• /
• v.32 no.7
• /
• pp.2433-2442
• /
• 2011

The three dimensional quantitative structure activity relationship (3D QSAR) models were developed using Comparative molecular field analysis (CoMFA), comparative molecular similarity indices analysis (CoMSIA) and docking studies. The fit of Quinazolinone antifolates inside the active site of modeled bovine dihydrofolate reductase (DHFR) was assessed. Both ligand based (LB) and receptor based (RB) QSAR models were generated, these models showed good internal and external statistical reliability that is evident from the $q^2_{loo}$, $r^2_{ncv}$ and $r^2_{pred}$. The identified key features enabled us to design new Quinazolinone analogues as DHFR inhibitors. This study is a building bridge between docking studies of homology modeled bovine DHFR protein as well as ligand and target based 3D QSAR techniques of CoMFA and CoMSIA approaches.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.31 no.1
• /
• pp.37-53
• /
• 2006

SPI (Software Process Improvement) activities have been considered one of the crucial approaches to achieve high quality, productivity and timely delivery of software products and services. The basic premise of SPI model is that higher maturity levels lead to better performance. In this research, the relationships between SPI results and performance were empirically investigated with Korean software companies. CMM key process areas were categorized into two dimensions, 'Process Implementation' and 'Quantitative Management'. The relationship between process implementation and performance was significant, but the relationship between quantitative management and performance was insignificant. The control variable, size of OU(Organizational Unit), did not have significant impact on the relation ships between SPI activities and OU performance.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
• /
• v.25 no.6
• /
• pp.90-99
• /
• 2011

As power industry evolves into Smart Grid scheme, previously closed power systems are being integrated into public communication networks. It increases the controllability and efficiency of the system, but also accompanies many cyber threats having existed in the Internet to the SCADA system. Therefore it is required to apply security countermeasures to the Smart Grid, which brings about investment costs. There have been few approaches to assess risks from cyber attack especially in electric power industry. So this paper proposes a methodology to assess quantitative impacts of various types of cyber attacks to a power system, and also shows the feasibility of the method through a case study.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 1997.04a
• /
• pp.27-34
• /
• 1997

In this paper, systematic and comprehensive approaches are suggested for the application of quantitative PRA techniques especially for those risk events that cannot be easily evaluated quantitatively In addition, dominant risk events are identified based on their occurrence frequency assessed by both actual survey of construction site conditions and the statistical data related with the probable accidents. Practical FTA(Fault Tree Analysis) and ETA(Event Tree Analysis) models are used for the assessment of the identified risks. When the risk events are lack of statistical data, appropriate Bayesian models incorporating engineering judgement and test results are also introduced in this paper. Moreover, a fuzzy probability technique is used for the quantitative risk assessment of those risk components which are difficult to evaluate quantitatively.

• Proceedings of the ESK Conference
• /
• 1995.04a
• /
• pp.16-22
• /
• 1995

The importance of usability evaluation is increasing in developing a new system and product. The current approaches for usability evaluation are: the comparative evaluation to measure usability, and the iterative user interface design to find usability problems. This paper pressents three types of characteristics and a set of criteria for usability evaluation. The methodology for criteria-based quantitative analysis of user interface usability is investigated with a view to measuring usability. The fuzzy weighted-checklist method with linguistic variables is used for quantitatie analysis. This analysis provides a quantitative measure, which reflects the degree of excellence of user interface usability during the design and development phases.

• Toxicological Research
• /
• v.19 no.2
• /
• pp.83-90
• /
• 2003

Since histopathological examination was known to be the most sensitive evaluation for testicular toxicity, regulatory authorities have been published the guidelines on practical testicular assay approach. Those guidelines specified details of evaluation including fixation, embedding, stain-ing, histological examination and also seminiferous tubular staging methods. However, there have been confusing understanding among toxicologists and even pathologists on staging theory and its application on industrial testicular toxicity. Guidelines did not intend to conduct quantitative assay with staging but recommended the use of knowledge of staging. To count each tubular stage with statistical analysis is known to be time consuming and labor burdening work but the significance of toxicity has little value. It also has been pointed out that the application of staging theory for longer-term toxicity considered to be lacking of rationale. It could be recommended that qualitative assay with aware-ness of germ cell loss is more efficient method rather than quantitative counting of each tubular stage. Therefore it would be required that comprehensive understanding of testicular toxicity evaluation and the use of testicular staging method.

• Journal of The Korean Digital Architecture Interior Association
• /
• v.11 no.2
• /
• pp.41-50
• /
• 2011

Skeptical responses to urban design based on the Physical Planning theory assuming the existence of social agreement and the absolute authorities of planners bring about alternatives such as Participatory Planning and Community Design derived from Harbermas' Communicative Rationality. But the normative contentions do not progress any more to the stage of presenting practical strategies. This is the cause why there should be systematic approaches to reveal the relationships among various concepts or variables. With regard to the Community Design this study intends to take a statistical approach to find relationship between project scale and its accomplishment. The hypothesis that the smaller scale of project begets the better outcomes was tested to be rejected as a result of the analysis of variance. But the result also shows that appropriate density in relatively large area makes residents' expected satisfaction high. Although this discovery has its own meaning the tryout is anticipated to laying the cornerstone of quantitative analyses in the following studies.

• Archives of design research
• /
• v.2 no.1
• /
• pp.117-130
• /
• 1989

Evaluation is to be seen a~ a central component of design activity. It is an attempt to ensure that the proposal which arises is accepted and that the resulting artefact itself suited to its purposes in practice. Recent surveys of Evaluation show that most methods require quantitative and explicit attributes. Always a significant part of the attributes of design proposals is qualitative. Therefore we need some study that convert qualitative attributes into quantitative scale values, because in many cases con\ulcornerclusions can be drawn about the order of the overall value of the design proposals. Following to Thurstone's psychological scaling methods, attributive values are assigned by ruting scale methods, met, hod of rank-order and method of paired comparisons. The problem of psycho\ulcornerlogical scaling is then to determine whether the stimuli can be ordered on a psychological continuum with respect to the degree of the attributes each possesses. The law of comparative judgement assumes that for a given stimulus there is associated a most frequently aroused or modal discriminal process on a psychological continuum. This paper is based upon the premise that the modal discriminul process will also be the same as the mean or median of the distribution.The objective of this paper is to argue for an acceptance of qualitative approaches to the evalua\ulcornertion of Design as a complement to the existing quantitative techniques. The scale values of 10 attri\ulcornerbutes \ulcorner(1) originality, (2) aesthetics, (3) satisfaction, (4) effeciency, (5) function, (6) size, (7) texture, (8) simplicity, (9) symbol, and (10) facility) in case of TV sets are obtained and their interactions are examined.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.3
• /
• pp.316-321
• /
• 2007

We propose a quatitative annotation method for edges in Bayesian networks using given sets of condition-specific data. Bayesian network model has been used widely in various fields to infer probabilistic dependency relationships between entities in target systems. Besides the need for identifying dependency relationships, the annotation of edges in Bayesian networks is required to analyze the meaning of learned Bayesian networks. We assume the training data is composed of several condition-specific data sets. The contribution of each condition-specific data set to each edge in the learned Bayesian network is measured using the ratio of likelihoods between network structures of including and missing the specific edge. The proposed method can be a good approach to make quantitative annotation for learned Bayesian network structures while previous annotation approaches only give qualitative one.