• Korean journal of communication and information
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• v.54
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• pp.76-97
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• 2011

What are the meanings of abduction as a methodology of Cultural Studies? By contextualizing Charles Sanders Peirce's logic of abduction in the discipline of Cultural Studies, I explore the epistemological discussion on the modern scientific research methodology of social sciences. Abduction is a kind of logical inference, which is often associated with guessing or intuition. Peirce's method of abduction and Cultural Studies' contextual formation in effect address an alternative methodology to positivism. Criticizing the modern Eurocentric structure of knowledge construction, I suggest that the virtue of abduction, as a logic of discovery, should be re-discovered in the context of Cultural Studies. Abduction holds important lessons for Cultural Studies as well as social sciences in general because of its focus on intuition, empathy, and intellectual collaboration. Through its elaboration of the logic of abduction, Cultural Studies is able to maintain not only its epistemological ground but also its methodological communicability.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.44 no.1
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• pp.40-48
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• 2007

This paper presents a novel texture segmentation method using multilayer perceptron (MLP) networks and Markov random fields in multiscale Bayesian framework. Multiscale wavelet coefficients are used as input for the neural networks. The output of the neural network is modeled as a posterior probability. Texture classification at each scale is performed by the posterior probabilities from MLP networks and MAP (maximum a posterior) classification. Then, in order to obtain the more improved segmentation result at the finest scale, our proposed method fuses the multiscale MAP classifications sequentially from coarse to fine scales. This process is done by computing the MAP classification given the classification at one scale and a priori knowledge regarding contextual information which is extracted from the adjacent coarser scale classification. In this fusion process, the MRF (Markov random field) prior distribution and Gibbs sampler are used, where the MRF model serves as the smoothness constraint and the Gibbs sampler acts as the MAP classifier. The proposed segmentation method shows better performance than texture segmentation using the HMT (Hidden Markov trees) model and HMTseg.

• Korean Journal of Adult Nursing
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• v.27 no.5
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• pp.493-504
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• 2015

Purpose: This study was a qualitative study to explore and understand the adaptation experiences of hemodialysis among women with End-Stage Renal Disease (ESRD) and to develop a substantive theory using the grounded theory method. Methods: Participants were 15 female patients who underwent hemodialysis for ESRD treatment from three general hospitals. The data were collected through in-depth individual interviews. Results: The adaptation experience of participants was emerged as a process of taking care and enduring. There were four adaptation stages as a negative, despair, receptive, and maintenance period in reference to hemodialysis. The causal conditions were a vague expectations of recovery and refusal to undergo hemodialysis. The core phenomenon was that of confinement to dialysis machine. The contextual conditions for this phenomenon were the loss of femininity. They used action/interaction strategies such as transition their life with a focus on hemodialysis, seeking information, and learning how to take care of their body. Through this process, they had a strong will to live or had sustained their life. Conclusion: These results indicate that there is a need for nurses to understand the different steps of adaptation experiences of the given patient population. It is necessary for nurses to support them to lead their life as much normal as possible and improve the adaptation experience of ESRD.

• Journal of The Korean Association of Information Education
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• v.8 no.1
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• pp.125-137
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• 2004

This research presents a performance assessment system of which the purpose is to increase the effectiveness of the instruction and learning through the on-the-job superintendent of the instructor, the self-directed learning of the learner, and the interaction between instructors and students. The presented performance assessment system applies the problem-based situated learning of the web-based performance assessment to the production, the execution, the assessment, and the transmission of the test. For the effective administration and learning in the school, we applies the Problem-Based Learning of constructivism and the web-based situated learning of the learning community to the system design. The production of the web-based performance assessment shows that the problem-based and self-directed learning of the assessment are achieved through the web-based automatic production of the performance assessment, and the contextual learning by case-based learning is performed by the production of the template of the performance assessment.

• Journal of Korea Multimedia Society
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• v.11 no.1
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• pp.106-116
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• 2008

It is difficult to provide Web services on a mobile environment because of the intermittent disconnection of a wireless network and the frequent change of context information. To resolve this, Web services must be migrate to devices, which can provide services to users seamlessly. However, researches on hosting, migrating, and replicating Web services on mobile devices are still in an early stage. This paper presents a lightweight Web service framework and an efficient method for establishing a policy of migrating Web services. Based on the WS-Policy standard, the proposed method defines a policy schema, which provides constructs for describing various kinds of contextual information. Specifically, the schema is designed to be extensible enough for different service providers to use different vocabularies to describe their policies. To show the validity, the proposed method for establishing a migration policy has been applied to our mobile Web services framework, resulting in a seamless provisioning of services.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.1 s.39
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• pp.23-29
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• 2007

Spatial outliers in remotely sensed imagery represent observed quantities showing unusual values compared to their neighbor pixel values. There have been various methods to detect the spatial outliers based on spatial autocorrelations in statistics and data mining. These methods may be applied in detecting forest fire pixels in the MODIS imageries from NASA's AQUA satellite. This is because the forest fire detection can be referred to as finding spatial outliers using spatial variation of brightness temperature. In this paper, we propose a new forest fire detection algorithm which is based on local spatial association analysis, and test the proposed algorithm to evaluate its applicability. In order to evaluate the proposed algorithm, the results were compared with the MODIS fire product provided by the NASA MODIS Science Team, which showed the possibility of the proposed algorithm in detecting the fire pixels.

• The Journal of the Korea Contents Association
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• v.16 no.12
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• pp.562-573
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• 2016

Diversification of college admission system has recently brought up the problem of system fairness. Studies on fairness of college admission system mainly focused on policy proposal or investigation of teacher's perception. Different from previous works, this study aims to analyze college students' perceptions of fairness of the current college admission system. This study used grounded theory and interviews from eleven students. Results of analysis are as follows. Causal condition proved to be frequent change in admission system happened in the course of diversifying admission criteria. The core phenomenon is fundamental unfairness in both procedural and substantive aspects of admission system. Contextual condition is information and infrastructure asymmetry among students which has a root in regional gap in Korea. Mediatory condition is advance of information technology and individual or group effort to overcome disadvantages. In conclusion, students consider that unfairness in college admission system reflects social structural problems that cannot be solved in a one-time prescription.

• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.111-132
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• 2007

Developing and managing Web applications are more complex than ever because of their growing functionalities, advancing Web technologies, increasing demands for integration with legacy applications, and changing content and structure. All these factors call for a more inclusive and comprehensive Web application design method. In response, we propose a context-based Web application design methodology that is based on several classification schemes including a Webpage classification, which is useful for identifying the information delivery mechanism and its relevant Web technology; a link classification, which reflects the semantics of various associations between pages; and a software component classification, which is helpful for pinpointing the roles of various components in the course of design. The proposed methodology also incorporates a unique Web application model comprised of a set of information clusters called compendia, each of which consists of a theme, its contextual pages, links, and components. This view is useful for modular design as well as for management of ever-changing content and structure of a Web application. The proposed methodology brings together all the three classification schemes and the Web application model to arrive at a set of both semantically cohesive and syntactically loose-coupled design artifacts.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.341-348
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• 2014

The advance in web accessibility with dissemination of smart phones gives rise to rapid increment of users on social network platforms. Many research projects are in progress to detect events using Twitter because it has a powerful influence on the dissemination of information with its open networks, and it is the representative service which generates more than 500 million Tweets a day in average; however, existing studies to detect events has been used TFIDF algorithm without any consideration of the various conditions of tweets. In addition, some of them detected predefined events. In this paper, we propose the RTFIDF VT algorithm which is a modified algorithm of TFIDF by reflecting features of Twitter. We also verified the optimal section of TF and DF for detecting events through the experiment. Finally, we suggest a system that extracts result-sets of places and related keywords at the given specific time using the RTFIDF VT algorithm and validated section of TF and DF.

• Journal of the Korea Society of Computer and Information
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• v.18 no.10
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• pp.173-182
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• 2013

Typographical mistakes made in the writing process of drafts of electronic documents are more common than any other type of errors. The majority of these errors caused by mistyping are regarded as consequently still typo-errors, but a considerable number of them are developed into the grammatical errors and the semantic errors. Pseudo semantic errors among these errors due to typographical errors have more noticeable peculiarities than pure semantic errors between senses of surrounding context words within a sentence. These semantic errors can be detected and corrected by simple algorithm based on the co-occurrence frequency because of their prominent contextual discrepancy. I propose a method for detection and correction based on the co-occurrence frequency in order to detect semantic errors due to typo-errors. The co-occurrence frequency in proposed method is counted for only words with immediate dependency relation, and the cosine similarity measure is used in order to detect pseudo semantic errors. From the presented experimental results, the proposed method is expected to help improve the detecting rate of overall proofreading system by about 2~3%.