• International conference on construction engineering and project management
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• 2007.03a
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• pp.206-217
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• 2007

Generally, there is confusion as to what constitutes TQM, though it can be regarded as a set of concepts and tools for getting all employees focused on continuous improvement, various schools of thought have defined or classified the critical success factors as constructs, concepts and principles. Therefore the main aim of this paper is to provide a practical approach for understanding the quality management terminology. Using the existing quality management measurement instruments available in literature, the terminology used is classified into constructs, practices and finally tools or techniques. Quality Management may then be viewed as a combination of the three sets of terminology. Drawing on the quantitative study which investigated the implementation of TQM within the SME, the critical factors of TQM as used in that study as used to demonstrate the practical approach or methodology for the understanding of the terms thus used. For the benefit of practitioners within the Construction Management field, a bit of clarity is required as regards the terminology used. This study contributes to clarifying the conflicting results being reported in the quality management literature which inevitably leads to having different levels of analysis of Quality Management. Accordingly, the strength of quality management compared with other business philosophies should then focus on the practical methodology, namely the practices and techniques.

• Journal of the Korea Institute of Military Science and Technology
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• v.16 no.5
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• pp.631-638
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• 2013

The probabilistic fatigue life analysis is one of the common methods to account the uncertainty of parameters on the structural failure. Frequently, the Bayesian approach has been demonstrated as a proper method to show the uncertainty of parameters. In this work, the application of probabilistic fatigue life prediction method for the aircraft structure was studied. This effort was conducted by using the PoF(Probability of Failure) based on Bayesian approach. Furthermore, numerical example was carried out to confirm the validation of the suggested approach. In conclusion, it was shown that the Bayesian approach can calculate the probabilistic fatigue lives and the quantitative value of PoF effectively for the aircraft structural component. Moreover the calculated probabilistic fatigue lives can be utilized to determine the optimized inspection period of aircraft structures.

• Journal of Information Technology Services
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• v.4 no.1
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• pp.129-139
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• 2005

This paper proposes a framework of Operational Risk-based Business Continuity System(ORBCS), and develops protection system for operational risk through operational risk assessment and loss distribution approach based on risk management guideline announced in the basel II. In order to find out financial operational risk, business processes of domestic bank are assorted by seven event factors and eight business activities so that we can construct the system. After we find out KRI(Key Risk Indicator) index, tasks and risks, we calculated risk possibility and expected cost by analyzing quantitative data, questionnaire and qualitative approach for AHP model from the past events. Furthermore, we can assume unexpected cost loss by using loss distribution approach presented in the basel II. Each bank can also assume expected loss distributions of operational risk by seven event factors and eight business activities. In this research, we choose loss distribution approach so that we can calculate operational risk. In order to explain number of case happened, we choose poisson distribution, log-normal distribution for loss cost, and estimate model for Monte-Carlo simulation. Through this process which is measured by operational risk. of ABC bank, we find out that loss distribution approach explains closer unexpected cost directly compared than internal measurement approach, and makes less unexpected cost loss.

• International Journal of Industrial Entomology and Biomaterials
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• v.17 no.2
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• pp.229-234
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• 2008

We used serial analysis of gene expression (SAGE) approach to derive a profile of expressed genes of the posterior silk glands (PSG) and to create a reference for understanding gene cluster related to the mechanism of silk protein synthesis in the silkworm, Bombyx mori. We constructed a 3' SAGE library from the PSG of the fifth instar larvae of the silkworm. In total we obtained 2,406 SAGE tags, of which 682 were unique tags. Sorted by tag count number, 27 (4%) unique tags were significantly more abundant genes (ten or more times), whereas 445 (65%) unique tags were detected as single copies. The annotation of 682 unique SAGE tags revealed that 462 (68%) of the SAGE tag sequences represented known genes, whereas 220 (32%) of the tag sequences had no matches in SAGE map and silkworm EST databases. Of the 682 SAGE tags, the most abundant tag sequences were that of the fibroin light chain gene and the silk protein P25. In addition, we compared two relative abundance results of the SAGE and the EST approaches to verify whether their transcript quantitative aspects are significant or not. The comparative results of relative abundances of the fibroin H-, L- chain and P25 glycoprotein genes indicated that the quantitative approach based on SAGE tags is effective for quantitative cataloging and comparison of expressed genes in same organs. The SAGE tag information reported in this study would be useful for researchers in the field to analyze genes associated with silk processing mechanisms of insects.

• Korean Chemical Engineering Research
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• v.58 no.2
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• pp.286-292
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• 2020

This study presents an angular-based measurement on three-dimensional paper-based analytical devices (3D-PADs) for quantitative detection of albumin without using an image analyzer. We demonstrate a simple quantitative and straightforward approach based on the angle of the discolored area as detection criteria. 3D-PADs are rapidly fabricated by the wax-printing and laminating process. The 3D-PADs are treated with citrate buffer and tetrabromophenol blue to react with albumin in a sample solution. Dropping sample solution into sample pad in the 3D-PAD, fluid flows toward the assay zone laterally and vertically by capillary action. We find that the change of angle of the discolored area correctly reflects the concentration of albumin and is reliable determinant for the measurement of the albumin concentration. It is the first demonstration of angular-based detection as a simple, inexpensive, and equipment-free approach for point-of-care diagnosis.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.453-458
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• 1998

In this paper, a new approach to modeling of nonlinear systems using fuzzy theory is presented. So as to handle a variety of nonlinearity and reflect the degree of confidence in the informations about system, we combine multiple model method with hierarchical prioritized structure. The mountain clustering technique is used in partition of system, and TSK rule structure is adopted to form the fuzzy rules. Back propagation algorithm is used for learning parameters in the rules. Computer simulations are performed to verify the effectiveness of the proposed method. It is useful for the treatment fo the nonlinear system of which the quantitative math-approach is difficult.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.11a
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• pp.233-236
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• 2003

Redesign of business processes still attracts a lot of interest. There have been a variety of quantitative approaches to analyze of business process. However, to examine and determine the quality-focused characteristics of the business process, a qualitative approach should be deployed. This paper introduces a qualitative approach process analysis, especially adopted the concept of the emotional engineering which is used in the area of the product design. To analyze the qualitative aspect of the business process, the emotional adjectives for the business process are used. The proposed methodology enables to determine which of business process is better or not in a more intuitive way.

• Journal of the Korean Institute of Landscape Architecture
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• v.25 no.3
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• pp.155-176
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• 1997

Today most landscape architects and scientists have approached ecological restoration, only in a scientific way or on aesthetic way so as to deal with the complex phenomena of a site easily. However, 'the real world' as well as 'ecological nature' as it is can not be totally dealt by the scientific approach which is quantitative and reductioinal. ince a site to be restored has the character of 'place' where man 'dwells', it must be designed and built as total phenomenon. In terms of Martin Heidegger's interpretation of "revealing", we might find out how to overcome the dilemma of the 'modern technology'. To the point of the phenomenological integrity between 'modern technology' and 'art', we can reveal 'sense of place' on a site. The phenomenological approach, which is related to the characteristics of the site, implies something more than scientific since it focuses on the development of site-specific data without wasting extra data for ecological restoration. Bodily experiencing a site with the perception, man discloses the site's nature and he also analyzes it in a scientific way. Therefore the phenomenological approach might be a clue of constructing ecological restoration as well as construing the identity of landscape architecture.

• Journal of Multimedia Information System
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• v.1 no.1
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• pp.77-85
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• 2014

Usually, the skin pigmentation detection and diagnosis are made by clinicians. In this process it is subjective and non-quantitative. We develop an approach to detect and measure the different pigmentation lesions base on computer vision technology. In the paper we study several usually used skin-detecting color space like HSV, YCbCr and normalized RGB. We compare their performance with illumination influence for detecting the pigmentation lesions better. Base on a relatively stable color space, we propose an approach which is RGB channels vector difference characteristic for the detection. After the object region detection, we also use the difference to measure the difference between the lesion and the surrounding normal skin. From the experiment results, our approach can effectively detect the pigmentation lesion, and perform robustness with different illumination.

• Management Science and Financial Engineering
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• v.15 no.2
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• pp.101-118
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• 2009

In quantitative contexts, data mining is widely applied to the prediction of stock prices from financial time-series. However, few studies have examined the potential of data mining for shedding light on the qualitative problem-solving knowledge of experts who make stock price predictions. This paper presents a GA-based data mining approach to characterizing the qualitative knowledge of such experts, based on their observed predictions. This study is the first of its kind in the GA literature. The results indicate that this approach generates rules with higher accuracy and greater coverage than inductive learning methods or neural networks. They also indicate considerable agreement between the GA method and expert problem-solving approaches. Therefore, the proposed method offers a suitable tool for eliciting and representing expert decision rules, and thus constitutes an effective means of predicting the stock price index.