• Journal of Korean Society of Transportation
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• v.19 no.1
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• pp.53-61
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• 2001

This study shows that a functional order relationship of national highways in rural areas, which provides the functional system as a principal and minor arterial highways, can be established by the use of statististics. As a result, the adequate functional design criteria of those highways are proposed on the basis of the traffic characteristics in those areas. According to those statistical studies, a function of national highways in the national road network is proved to form three categories broadly. Especially, the survey results based on the traffic characteristics on each road sections show that the initially constructed national highways can not provide an adequate functional role as the arterial highways in the studied areas. In order to operate the intended national highways functionally as the arterial highways, the functional design criteria of highways and the standard order of highway facilities based on the design traffic speed should be considered as an alternative.

• Language and Information
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• v.9 no.1
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• pp.1-18
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• 2005

In Korean terminologies, adjectival terms are rare, and the meaning and function associated with adjectives in Indo-European languages are often realized instead in noun form. However, the rarer adjectival terms we, the more they are used in restrictive and repetitive ways in specialized domains. Thus, it is important to distinguish the different senses of these terms. In this work, focusing on semantic modeling in terminology, we distinguish the different senses of adjectival medical terms by applying lexico-semantic criteria (L'Homme, 2004a) and by classifying the semantic category of the arguments of the adjective (Bae and others, 2002). The result not only contributes to enriching medical terminology, but also empirically demonstrates a method for distinguishing the different senses of adjectival medical terms. In this work, we obtained an average of 1.854 senses for each term. We used the KAIST corpus, composed of medical texts (1,500,000 eojeols), and a group of texts on various subjects (40,000,000 eojeols)

• International conference on construction engineering and project management
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• 2005.10a
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• pp.638-642
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• 2005

This paper presents incentive application strategies and delay prevention strategies as schematic approaches to improve time performance of highway construction contracts. This research recognizes the importance of improving time performance during highway construction. Strategic solutions of the most core issues on time performance incentive contracting are identified. The suggested incentive application strategies develop criteria for applying time classification to projects, for assigning project time classifications to contractors and designers, and for determining appropriate incentive values in A (cost) + B (time cost) and other performance incentive contracts. The suggested delay prevention strategies develop criteria for determining the appropriate subsurface utility engineering (SUE) level and to develop best practices for avoiding utility relocation delays. A schematic approach for each strategy is developed. This paper also introduces current incentive contracting practices in Florida. The researchers obtained the information from experienced persons in the highway construction industry, including key highway contractors, designers, and Department of Transportation (DOT) and Federal Highway Administration (FHWA) personnel. The major focus of this research is to develop strategies and suggest approaches to improve time performance of highway construction contracts. For future study, practical tools to facilitate implementation of the suggested strategies should be developed, so that the criteria, implementation processes, and best practices developed may contribute to the current industry-wide effort to improve time performance.

• Land and Housing Review
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• v.7 no.4
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• pp.251-259
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• 2016

As the spatial structure of a region is evolving into a decentralized multi-nucli model, networked connection among cities in a region is emerging as an important issue to strengthen regional competitiveness. This paper focused on the limitation of current new town planning criteria which just suggest a uniform standard for economic self-sufficiency by new-town size, without representing the network characteristics of new town. If a new town is planned as a economic strongpoint within a region, it needs to secure appropriate industrial functions. This study classified the characteristics of new towns by network analysis and reviewed the economic self-sufficiency criteria by new town types. Using various network connectedness indices, the 1st and 2nd round new towns in the capital region were analyzed, and land-use distribution of new-towns in other countries were also examined comparatively. The network characteristics of new towns are classified as three types: mono-nucleus, distributed center, and dependent. Based on this classification, planning criteria for self-sufficiency were compared among 6 new towns. This study provides implications for the amendment of "the sustainable new town planning criteria" or the revision of development plans.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.7-13
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• 2023

This study investigated the criteria for evaluating the impact of artificial intelligence services. The study classified AI evaluation targets into two areas: AI service and AI technology, and identified influence, sustainability, efficiency, effectiveness, and appropriateness as potential evaluation criteria. The time aspect of AI service evaluation was divided into pre-evaluation and post-evaluation, with pre-evaluation focused on reviewing items during development and design. The AI service area was classified into public, private, and mixed forms, and the impact assessment was classified as vertical or horizontal. The application of AI services was divided into normative and regulatory aspects, and the purpose of the evaluation could be impact or process evaluation. The subject and field of the AI service could also be used for classification purposes. The results of this study can be used to support the creation of AI service impact policies and countermeasures. However, further research is needed to develop specific indicators based on the criteria identified in this study to evaluate the impact of AI services.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.1
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• pp.68-80
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• 2013

Lung cancer is considered to be the leading cause of cancer death worldwide. A technique commonly used consists of analyzing sputum images for detecting lung cancer cells. However, the analysis of sputum is time consuming and requires highly trained personnel to avoid errors. The manual screening of sputum samples has to be improved by using image processing techniques. In this paper we present a Computer Aided Diagnosis (CAD) system for early detection and diagnosis of lung cancer based on the analysis of the sputum color image with the aim to attain a high accuracy rate and to reduce the time consumed to analyze such sputum samples. In order to form general diagnostic rules, we present a framework for segmentation and extraction of sputum cells in sputum images using respectively, a Bayesian classification method followed by region detection and feature extraction techniques to determine the shape of the nuclei inside the sputum cells. The final results will be used for a (CAD) system for early detection of lung cancer. We analyzed the performance of a Bayesian classification with respect to the color space representation and quantification. Our methods were validated via a series of experimentation conducted with a data set of 100 images. Our evaluation criteria were based on sensitivity, specificity and accuracy.

• Journal of Korean Elementary Science Education
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• v.31 no.4
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• pp.501-512
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• 2012

The purpose of this study was to identify the differences in eye movement pattern shown in classification activities between the gifted and regular students in elementary schools. The subjects for the research consisted of five gifted students in the special education center for the gifted at Seoul National University of Education and five students at D regular elementary schools. SMI (Senso Motoric Instruments)' iView $X^{TM}$ RED 120 Hz was used in order to collect eye movement data. Results were as follows. There were difference patterns between the gifted and the regular student in question identification, attribute observation, and criteria generation process. Gifted students minimized unnecessary cognitive overload and took advantage of cognitive economic efficiency. Regular students have a lot of cognitive burden because they did not grasp the essential information.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.1
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• pp.5-16
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• 2007

Purpose: This study is to verify the validity and reliability of classified items and criteria of the patient classification system(PCS) based on Park's definition of nursing intensity. Methods: An expert group of 8 persons verified the content validity of the tools. The 1817 inpatients at a tertiary hospital in Seoul, Korea were classified into 4 groups according to two tools for verifying concurrent validity and interraters' reliability. These verifications were performed from September to October, 2004. Results: Nursing domains of the tools have been divided into 12 items: hygiene, nutrition, elimination, exercise & activity, education & counseling, emotional support, communication & consciousness, treatment & examination, medication, measurement & observation, coordination of multidisciplinary team, admission & discharge & transfer management. Content validity was verified by the content validity index(above 0.75 in all 12 areas). Interraters' reliability was no significant difference in the results of the patient classification between the two raters(A group 93.75%. B group 88.24%). Concurrent validity was also verified by the agreement of two tools(73.7%). Conclusion: These results showed that the reliability and validity of the PCS based on the nursing intensity were verified. These will use an data for nursing productivity in the future.

• The Journal of the Korea Contents Association
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• v.9 no.1
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• pp.131-138
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• 2009

This paper is about adult certification on Mobile RFID Service Environments coming through the combination of RFID(Radio Frequency IDentification) technology, as the core technology of ubiquitous environments, and mobile telecommunication technology. To overcome the shortcoming of simple adult certification on current internet, we suggest a framework for content-based classification and propose an adult certification system using it. At first, we explain conventional methods for adult certification, and show a criteria of content-based classification for preventing an exposure of adult contents from minors. Additionally, we describe data structure and system for the proposed adult certification on mobile RFID environment, and finish it with concluding remarks.

• Journal of information and communication convergence engineering
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• v.18 no.2
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• pp.106-114
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• 2020

We propose appropriate criteria for obtaining fish species data and number of learning data, as well as for selecting the most appropriate convolutional neural network (CNN) to efficiently classify exotic invasive fish species for their extermination. The acquisition of large amounts of fish species data for CNN learning is subject to several constraints. To solve these problems, we acquired a large number of fish images for various fish species in a laboratory environment, rather than a natural environment. We then converted the obtained fish images into fish images acquired in different natural environments through simple image synthesis to obtain the image data of the fish species. We used the images of largemouth bass and bluegill captured at a pond as test data to confirm the effectiveness of the proposed method. In addition, to classify the exotic invasive fish species accurately, we evaluated the trained CNNs in terms of classification performance, processing time, and the number of data; consequently, we proposed a method to select the most effective CNN.