• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.2
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• pp.35-43
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• 2014

Strategic link, to develop the business strategy and to build the infrastructure of the organization, is an important challenge to management activities of the company, it is a major study of management academia. Effective strategy and information systems influence the success of the organization. Strategic alignment model for analyzing linkage was introduced in this study. Strategic alignment model, is composed of business strategy, organization infrastructure, information technology strategy, and information technology infrastructure. We have studied that this models appear in some form in the field of actual companies. Our research subject is a agricultural venture in Chungnam province.

• Journal of Information Processing Systems
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• v.6 no.2
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• pp.261-268
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• 2010

Tracking human facial expression within a video image has many useful applications, such as surveillance and teleconferencing, etc. Initially, the Active Appearance Model (AAM) was proposed for facial recognition; however, it turns out that the AAM has many advantages as regards continuous facial expression recognition. We have implemented a continuous facial expression recognition system using the AAM. In this study, we adopt an independent AAM using the Inverse Compositional Image Alignment method. The system was evaluated using the standard Cohn-Kanade facial expression database, the results of which show that it could have numerous potential applications.

• Journal of Information Processing Systems
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• v.8 no.2
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• pp.301-314
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• 2012

In this paper, two new approaches to align English-Arabic sentences in bilingual parallel corpora based on the Multi-Class Support Vector Machine (MSVM) and the Hidden Markov Model (HMM) classifiers are presented. A feature vector is extracted from the text pair that is under consideration. This vector contains text features such as length, punctuation score, and cognate score values. A set of manually prepared training data was assigned to train the Multi-Class Support Vector Machine and Hidden Markov Model. Another set of data was used for testing. The results of the MSVM and HMM outperform the results of the length based approach. Moreover these new approaches are valid for any language pairs and are quite flexible since the feature vector may contain less, more, or different features, such as a lexical matching feature and Hanzi characters in Japanese-Chinese texts, than the ones used in the current research.

• Journal of KIBIM
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• v.9 no.1
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• pp.1-10
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• 2019

In process of creating BIM model for tunnel, many user use still CAD, so the workflow for BIM design is not perfect. Therefore, in this paper, we proposes a method to automatically create BIM model without converting 2D drawings in tunnel design. It can allow engineers to design BIM-based tunnel with maximum use of linear information and modify the BIM model whenever there is changed linear information. To do this, we use Dynamo, which can reduce the time required for creating and modifying BIM models during design changes, saving time wasted for BIM conversion design.

• Journal of Korean Home Economics Education Association
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• v.31 no.3
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• pp.23-39
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• 2019

The purpose of the study was to analyze the home economics education experts' and teachers' perception of ways to align instruction with evaluation, based on the 2015 revised technology and home economics curriculum for the purpose of developing the independent living competencies, and to provide examples of alignment in practice. The analysis is based on the data from a Delphi study (10 experts) and a survey of technology and home economics teachers(n=422). The results of survey indicated that experts and teachers perceived the instruction-assessment alignment to be most appropriate for project learning-project assessment, followed by project learning-portfolio assessment, problem solving learning-portfolio assessment, and problem solving learning-project assessment, in order. Based on the survey results, a model of instruction-assessment alignment and a teaching-learing plan were presented, based on 'Development task of life cycle and Life plan' unit. This was considered to be a proper method of instructional alignment for the purpose of developing 'independent living competence' with project-learning/project-assessment. The model focuses on consistency between instruction and evaluation, unity in methods, and the availablility of feedbacks of assessment for the improvement of independent living competencies. In conclusion, this study contributes as foundational information for teaching and learning-assessment alignment. Diverse methods of instruction-evaluation alignment is expected for future research.

• Proceedings of the Materials Research Society of Korea Conference
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• 2001.11a
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• pp.50-50
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• 2001

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.870-872
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• 2008

It is known that AC electric field to drive IPS mode of liquid crystal display (LCD) causes reduction of the contrast after long period of display operation. Our results are presented in this paper on a base of a model of interaction between surface of PI alignment film and LC molecules. We conclude that the surface viscosity of PI alignment film is one of the most important factors for the contrast reduction phenomenon.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.136-141
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• 1991

An Overlapping Decomposed Filter(ODF) accomplishing an initial alignment of an INS is proposed in this paper. The proposed filter improves the observable condition and reduces the filtering computation time. Its good performance has been verified by simulation. Completely observable and controllable conditions of INS error model derived from psi-angle approach are introduced under varying sensor characteristics vary. The east components of gyro and accelerometer have to be the first order markov process and the rest of them are the characteristics of the random walk or first order markov process.

• International Journal of Highway Engineering
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• v.13 no.1
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• pp.97-105
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• 2011

This paper presents how one can investigate the effects on crash occurrence of freeway geometric design elements including the horizontal, vertical alignment and road environment. At present, the available research results for the most part involve geometric data analysis that are obtained along a relatively long section of freeway, and, because of the long section's diverse geometric conditions, the results tend to miss the specific local geometric impacts on vehicle crashes. In this regard, this research attempts to establish vehicle crash models based on a set of freeway geometric patterns whose crash generating characteristics are identical because they are homogeneous in terms of producing the same vehicle operating speeds, and subsequently their actual relationships are described by providing statistical analysis made in this research. Also each standard is comprised of part of straight, curve and continuous curve. This research has revealed that each type of model has different relation between accident and geometry structure. This research results should be useful for doing more reasonable highway designs and safety audit analysis.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.33 no.9
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• pp.903-912
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• 2009

This study is focused on simulation-based dimensional tolerance optimization process (DTOP) to minimize vehicle pulls by reduction of dimensional variation in front suspension system. In previous studies, the effect of tires and wheel alignment sensitivity have mainly been investigated to eliminate vehicle pulls in nominal design condition without allocating optimal tolerance level for selected components, among various factors regarding vehicle pulls such as vehicle design parameters, vehicle weight balance, tires, and environmental factors. Unfortunately, there are wide variations in the real vehicle, and these have impacted actual vehicle pulls, especially wheel alignment effects from suspension geometry variation has not been considered in the previous studies. In the tolerance design of suspension, tolerance variables with the uncertainty such as parts dimensional variation, assembly process, datum position and direction, and assembly tool tolerance has a great influence on the variation of the suspension dimensional performances. This study introduces total vehicle pull prediction model in considering major key factors for vehicle pull sensitivity. The Monte Carlo-based tolerance analysis model using Taguchi robust method is developed to optimize dimensional tolerance parameters, satisfying on the target variation level.