• Journal of Information Technology Services
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• v.5 no.1
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• pp.17-34
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• 2006

As insurers have undergone changing customer expectations, increased cross-industry competition and restructured distribution channels, they need to enhance customer relationships, cut costs, increase agility and streamline operations while differentiating the core competency. As such, the importance of e-business transformation has increased where organizational core processes are restructured around customers and interned-based technology is adopted for flexible and adaptive information systems. This paper presents a case study of process innovation for e-business transformation in a Korea-based leading property & casualty insurance company. The company initiated three years-long e-business transformation program to remain competitive and to keep sustainable growth under risky and down economy. The program, which covered enterprise-wide business processes such as product, marketing & sales, customer, claim, investment & loan, accountings, etc., included redesigning processes from customers' viewpoint and then implementing process-aligned information systems. Leadership, sponsorship, change management, performance measurement, business and IT alignment, empowerment, and customized methodology, were emphasized throughout the program. As a result, the company could expect not only improvements in customer-centricity, sales productivity, and operational excellence but also increased revenues and profits in the next three years. The presented case addresses a feasible approach for enterprise-wide e-business transformation. Although the strategies, actions, and business and IT models are not described in detail due to confidentiality, the methodology and the success factors would be applicable to other insurers and possibly organizations in different industries.

• Journal of Distribution Science
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• v.22 no.5
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• pp.39-57
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• 2024

Purpose: Various policies continue to be strengthened to develop Micro, Small and Medium Enterprises (MSMEs), which have a strategic role in the economy through the pillars of corporatization, capacity and financing to support strong and inclusive economic growth. Efforts to transform MSMEs marketing strategies are undertaken through eco-friendly digitalization to increase resilience and more productive and innovative capacity. Research design, data and methodology: This research is an exploratory qualitative approach taken to investigate the transformation of eco-friendly marketing strategies for MSMEs to increase competitiveness at the global level. The samples obtained were 425 MSMEs assisted by the DKI Jakarta, Bali, Java, Borneo, and Sumatera. The data collection technique used non-probability sampling (snowball sampling). Data is analyzed through collection, reduction, analysis, validity testing, presentation and conclusion. Results: This research shows the transformation of eco-friendly digital-based MSME marketing strategies occurred through four stages, namely production and institutional activities, expanding market share, digitalization and financing, and export market access. Conclusions: Eco-friendly digital transformation allows MSMEs competencies to be refined to improve business processes and business competitiveness at the international level. The contribution of this marketing strategy transformation is expanding MSMEs access to financial institutions (fintech), marketplaces, and QRIS (QR Code Indonesian Standard) digital payments.

• Korean Journal of Metals and Materials
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• v.56 no.11
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• pp.779-786
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• 2018

There have been previous attempts to observe the occurrence of dynamic ferritic transformation at temperatures even above $Ae_3$ in a low-carbon steel, and not only in steels, but recently also in titanium alloys. In this study, a new approach is proposed that involves treating true stress-true strain curves in uniaxial compression tests at various temperatures, and different strain rates in 0.1C-6Ni steel, which is a model alloy used to decelerate the kinetics of ferrite transformation from austenite. The initial flow stress up to peak stress was used to analyze the change in dynamic softening phenomena, such as dynamic recovery, dynamic recrystallization, and dynamic transformation. It is worth mentioning that for predicting the occurrence of dynamic transformation, flow stress before reaching peak stress is much more sensitive to the change in the dynamic softening rate due to dynamic transformation, compared to peak stress. It was found that the occurrence of dynamic ferritic transformation could be successfully obtained even at temperatures above $Ae_3$ once the deformation condition was satisfied. This deformation condition is a function of both the strain rate and the deformation temperature, which can be described as the Zener - Hollomon parameter. In addition, the driving force of dynamic ferritic transformation might be much less than that of the dynamic recrystallization of austenite at a given deformation condition. By applying this technique, it is possible to predict the occurrence of dynamic transformation more sensitively compared with the previous analysis method using peak stress during deformation.

• Structural Engineering and Mechanics
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• v.68 no.4
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• pp.423-442
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• 2018

In this paper, masonry infilled reinforced concrete (RC) frames are analyzed through a probabilistic approach. A macro-modeling technique, based on an equivalent diagonal pin-jointed strut, has been resorted to for modelling the stiffening contribution of the masonry panels. Since it is quite difficult to decide which mechanical characteristics to assume for the diagonal struts in such simplified model, the strut width is here considered as a random variable, whose stochastic characterization stems from a wide set of empirical expressions proposed in the literature. The stochastic analysis of the masonry infilled RC frame is conducted via the Probabilistic Transformation Method by employing a set of space transformation laws of random vectors to determine the probability density function (PDF) of the system response in a direct manner. The knowledge of the PDF of a set of response indicators, including displacements, bending moments, shear forces, interstory drifts, opens an interesting discussion about the influence of the uncertainty of the masonry infills and the resulting implications in a design process.

• Journal of Biomedical Engineering Research
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• v.26 no.4
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• pp.231-241
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• 2005

New methods to register multiple hemispheric slices of the postmortem brain to anatomically corresponding in-vivo MRI slices within a 3D volumetric MRI are presented. Gel-embedding and fiducial markers are used to reduce geometrical distortions in the postmortem brain volume. The registration algorithm relies on a recursive extraction of warped MRI slices from the reference MRI volume using a modified non-linear polynomial transformation until matching slices are found. Eight different voxel similarity measures are tested to get the best co-registration cost and the results show that combination of two different similarity measures shows the best performance. After validating the implementation and approach through simulation studies, the presented methods are applied to real data. The results demonstrate the feasibility and practicability of the presented co­registration methods, thus providing a means of MR signal analysis and histological examination of tissue lesions via co­registered images of postmortem brain slices and their corresponding MRI sections. With this approach, it is possible to investigate the pathology of a disease through both routinely acquired MRls and postmortem brain slices, thus improving the understanding of the pathological substrates and their progression.

• Journal of the Korean Statistical Society
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• v.22 no.1
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• pp.27-37
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• 1993

Since the analytic expression for a diagnostic in the logistic regression model is not available, one-step estimation is often used by a case-deletion point of view. In this paper, infinitesimal perturbation approach is used, and it is shown that the scale transformation of infinitesimal perturbation approach is eventually equal to the weighted perturbation of local influence approach and the replacement measure. Also, multiple cases deletion for the masking effect is considered.

• The Korean Journal of Applied Statistics
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• v.22 no.1
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• pp.189-195
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• 2009

A dynamic graphical procedure is suggested to estimate optimal response transformation parameter and a curvature function of covariates in the regression model. Augmented partial residual plot is chosen for specifying a curvature. The proposed method is compared with a different approach (Soo, 2007) and is investigated efficiency by applying it to the real and the artificial data. The method is also extended to the 3D graphical situations.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.864-867
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• 1995

Presented in the paper is a structured approach to modeling automated manufacturing system (AMS) in the form of an event graph. The proposed two-phase procedure for formal modeling is 1) reference modeling by schematic supervisory control modeling and 2) event graph transformation from supervisory control model. Also described is a formal model for a small-sized FMS in the form of an event graph.

• Transactions on Control, Automation and Systems Engineering
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• v.1 no.1
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• pp.32-43
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• 1999

Adaptive robust control scheme is introduced for flexible joint manipulator with nonlinearities and uncertainties. The system does not satisfy the matching condition due to insufficient actuators for each node. The control only relies on the assumption that the bound of uncertainty exists. Thus, the bounded value does not need to be known a prior. The control utilizes the update law by estimating the bound of the uncertainties. The control scheme uses the backstepping method and constructs a state transformation. Also, stability analysis is done for both transformed system and original system.

• Proceedings of the KIEE Conference
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• 2001.07e
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• pp.7-12
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• 2001

A large number of methods for the design optimization have been proposed in recent years. However, it is not easy to apply these methods to practical use because of many iterations. So, in the design optimization, physical and engineering investigation of the given model are very important, which results in an overall increase in the optimization speed. This paper describes a novel optimization procedure utilizing the conformal transformation method. This approach consists of two phases and has the advantage of grasping the physical phenomena of the model easily. Some numerical results that demonstrate the validity of the proposed method are also presented.