• International journal of advanced smart convergence
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• v.12 no.1
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• pp.120-129
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• 2023

Perspective taking, one's knowledge of their own mental and emotional states and inferences about others' mental and emotional states, is an important higher order cognitive skill required in successful writing. However, there has not been much research on the identification and examiantion of the psychometrics of perspective taking. To fill in this gap, I reviewed the psychological and cognitive frameworks of perspective taking including theory of mind, audience awareness, development of epistemological understanding, and argumentation schema. I also reviewed various methods of examining the psychometric properties of perspective taking in written composition, including both manual and computational approaches. The review of literature yielded suggestions on the development of manual coding scheme for perspective taking as well as the selection of indexes to draw from natural language processing tools. Challenges and affordances of combining the manual and computational approach are discussed along with future research directions to advance the field of psycholinguistics.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.1
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• pp.147-156
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• 2009

The introduction and application of IT(Information Technology) to a company has become to be viewed as a key factor for the business competitiveness and improved productivity. This study presents an approach to evaluation of a company's informatization level, which is especially appropriate for small and medium enterprises. The proposed evaluation method, based on the traditional questionnaire approaches, considers the various characteristics of the company, e.g., types of business, characteristics of customers, and locations of supply chains etc. A web-based system was developed to enable users to obtain the evaluation results from the evaluation method. The system also provides a function to produce valuable strategies for informatization by utilizing the case base which will be cumulated by repetitive evaluation requests. Finally, a real case was analyzed in order to verify the practicality of the evaluation system.

• Journal of KIISE:Computing Practices and Letters
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• v.11 no.2
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• pp.192-207
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• 2005

As the evaluation for the information security has been an important issue, numerous security evaluation methods have been proposed. Those security evaluation methods can be categorized into three different aspects in large including product, process and control. In this paper we identify the possible problems that may occur when one-sided security evaluation is conducted that is on the aspect of product, process or control alone, present with the actual example of threat, and propose an approach to resolve each problem. Based on these approaches, we propose the security evaluation model, which incorporates these three aspects of product, process and control.

• Journal of Engineering Education Research
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• v.23 no.2
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• pp.24-30
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• 2020

This paper proposes the approaches to the evaluation of learning using concepts of artificial intelligence. Among various techniques, deep learning algorithm is employed to achieve quantitative results of evaluation. In particular, this paper focuses on the process-based evaluation instead of the result-based one using face expression. The expression is simply acquired by digital camera that records face expression when students solve sample test problems. Face expressions are trained using convolutional neural network (CNN) model followed by classification of expression data into three categories, i.e., easy, neutral, difficult. To substantiate the proposed approach, the simulation results show promising results, and this work is expected to open opportunities for intelligent evaluation system in the future.

• Geomechanics and Engineering
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• v.25 no.1
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• pp.59-73
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• 2021

There frequently exists inadequacy regarding the number of boreholes installed along tunnel alignment. While geophysical imaging techniques are available for pre-tunnelling geological characterization, they aim to detect specific object (e.g., water body and karst cave). There remains great motivation for the industry to develop a real-time identification technology relating complex geological conditions with the existing tunnelling parameters. This study explores the potential for the use of machine learning-based data driven approaches to identify the change in geology during tunnel excavation. Further, the feasibility for machine learning-based anomaly detection approaches to detect the development of clayey clogging is also assessed. The results of an application of the machine learning-based approaches to Xi'an Metro line 4 are presented in this paper where two tunnels buried in the water-rich sandy soils at depths of 12-14 m are excavated using a 6.288 m diameter EPB shield machine. A reasonable agreement with the measurements verifies their applicability towards widening the application horizon of machine learning-based approaches.

• Journal of Korean Society of Transportation
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• v.5 no.2
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• pp.37-54
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• 1987

The methods of the transportation plan evaluation have appearently been improved. Yet we are frequently confronted with many problems when we are trying to apply those various methods in practice. This paper aims at reviewing the major problems in the transportation plan evaluation and considering the way to resolve such kinds of problem. The selection of the evaluation criteria and the weighting systems between such criteria are the moat important things in the multi-criteria approaches. In this respect, this paper suggests some alternative evaluation criteria in consideration of the levels and the purpose of the plan. Also the increased capacities and new demands of generated trip are the main effects of the transportation investment. Nevertheless such significant effects have been neglected in the calculation of benefits due to the transportation investment in the past. Therefore this paper suggests that the surplus capacities and new demands of generated trip according to the alternative investment plans should be included in the calculation of benefits for the plan evaluation.

• The Journal of Korea Robotics Society
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• v.4 no.3
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• pp.201-209
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• 2009

In this paper, we deal with the performance evaluation method of user identification and user tracking for intelligent robots using face images. This paper shows general approaches for standard evaluation methods to improve intelligent robot systems as well as their algorithms. The evaluation methods proposed in this paper can be combined with the evaluation methods for detection algorithms of face region and facial components to measure the overall performance of face recognition in intelligent robots.

• Journal of Korean Society of Rural Planning
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• v.3 no.2
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• pp.102-111
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• 1997

For rational agricultural land use planning, it is quite necessary to get hold of land suitability precisely and to make decision on land use patterns accordingly. In the methodological viewpoint, objective and scientific evaluation techniques for land suitability classification should be supported for the systematic land use planning. As one of technical development approaches to rational land use planning, this study tried to frame a land suitability evaluation system for agricultural purposes. Evaluation unit is defined as a tract of land bounded by road, other land units and topographical features. And quantification theory was applied in the determination works of evaluation criteria. The administrative area of Namsa-myon(district), Yongin-si(city), Kyunggi-do(province) was selected for the case study. In order to check the feasibility of the evaluation system developed in the study, field check team, consisting of 2 government officers and 2 representative farmers, carried out evaluation works by observation on 148 sample land units, 10% of total 1,480 ones. Between estimated and observed results, there showed very good relationship of its multiple correlation coefficient, R=0.9467.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.47-51
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• 2008

Recently, the development of technology has been rapidly proceeding with information technology in various fields. Due to their abstract properties, proper evaluation of intangible assets is very difficult compared to evaluation of tangible assets. Intangible assets are knowledge, technology, and design etc. In general there are two approaches to evaluate the intangible assets such as qualitative and quantitative approach. The qualitative approach contains scoring approach, profile approach, checklist approach, and quantitative approach. Quantitative approach contains cost approach, market approach, income approach, and real-option approach. As an initial step for evaluation of safe work environments, this study compares and analyzes evaluation methods of intangible assets.

• Analytical Science and Technology
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• v.16 no.1
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• pp.90-93
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• 2003

The standard uncertainties of two different approaches using the same data set are compared and evaluated using an example of gravimetric standard gas preparation. It is shown that the correlation between input quantities should be taken into account for the proper evaluation of uncertainty resulting from random effects.