• Proceedings of the Korean Society of Medical Physics Conference
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• 2003.09a
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• pp.78-78
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• 2003

Purpose: This event related fMRI study was to further our understanding about how different brain regions could contribute to effective access of specific information stored in long term memory. This experiment has allowed us to determine the brain regions involved in recognition of familiar faces among non familiar faces. Materials and Methods: Twelve right handed normal, healthy volunteer adults participated in face recognition experiment. The paradigm consists of two 40 familiar faces, 40 unfamiliar faces and control base with scrambled faces in a randomized order, with null events. Volunteers were instructed to press on one of two possible buttons of a response box to indicate whether a face was familiar or not. Incorrect answers were ignored. A 1.5T MRI system(GMENS) was employed to evaluate brain activity by using blood oxygen level dependent (BOLD) contrast. Gradient Echo EPI sequence with TR/TE= 2250/40 msec was used for 17 contiguous axial slices of 7mm thickness, covering the whole brain volume (240mm Field of view, 64 ${\times}$ 64 in plane resolution). The acquired data were applied to SPM99 for the processing such as realignment, normalization, smoothing, statistical ANOVA and statistical preference. Results/Disscusion: The comparison of familiar faces vs unfamiliar faces yielded significant activations in the medial temporal regions, the occipito temporal regions and in frontal regions. These results suggest that when volunteers are asked to recognize familiar faces among unfamiliar faces they tend to activate several regions frequently involved in face perception. The medial temporal regions are also activated for familiar and unfamiliar faces. This interesting result suggests a contribution of this structure in the attempt to match perceived faces with pre existing semantic representations stored in long term memory.

• Journal of Educational Research in Mathematics
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• v.26 no.4
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• pp.635-662
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• 2016

Combinatorics, the basis of probabilistic thinking, is an important area of mathematics and closely linked with other subjects such as informatics and STEAM areas. But combinatorics is one of the most difficult units in school mathematics for leaning and teaching. This study, using the designed combinatorial models and executable expression, aims to analyzes the eye movement of graduate students when they translate the written combinatorial problems to the corresponding executable expression, and examines not only the understanding process of the written combinatorial sentences but also the degree of difficulties depending on the combinatorial semantic structures. The result of the study shows that there are two types of solving process the participants take when they solve the problems : one is to choose the right executable expression by comparing the sentence and the executable expression frequently. The other approach is to find the corresponding executable expression after they derive the suitable mental model by translating the combinatorial sentence. We found the cognitive processing patterns of the participants how they pay attention to words and numbers related to the essential informations hidden in the sentence. Also we found that the student's eyes rest upon the essential combinatorial sentences and executable expressions longer and they perform the complicated cognitive handling process such as comparing the written sentence with executable expressions when they try the problems whose meaning structure is rarely used in the school mathematics. The data of eye movement provide meaningful information for analyzing the cognitive process related to the solving process of the participants.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.170-180
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• 2019

The aim of this study was to understand the nature and semantic structure of male smokers' experience of smoking cessation attempts. The participants were nine male smokers with at least one smoking cessation attempt, and who responded voluntarily to the preliminary survey. Data collection was conducted from September to December 2017, and the results of individual in-depth interview were analyzed by applying the Giorgi(2009)'s phenomenological research method. Result: 'Attempt's of smoking cessation', 'Several failed attempts of smoking cessation', 'Desperate need for help' and 'An important factor in the success of smoking cessation'. Conclusion: The present study showed that male smokers were desperate for outside intervention, smoking cessation policies, and help from family members and acquaintances as they tried to cease smoking. Therefore, it is necessary to have a comprehensive understanding of smoking men's experience in smoking cessation, to identify their nursing needs, and provide necessary nursing intervention so that they can lead a healthy life as a member of society without giving up smoking. This study is meaningful in that smoking men can gain new insights by providing a comprehensive and comprehensive understanding of their experience

• Journal of KIISE
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• v.41 no.10
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• pp.762-773
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• 2014

As the web of data is increasingly producing large RDFS datasets, it becomes essential in building scalable reasoning engines over large triples. There have been many researches used expensive distributed framework, such as Hadoop, to reason over large RDFS triples. However, in many cases we are required to handle millions of triples. In such cases, it is not necessary to deploy expensive distributed systems because logic program based reasoners in a single machine can produce similar reasoning performances with that of distributed reasoner using Hadoop. In this paper, we propose a scalable RDFS reasoner using logical programming methods in a single machine and compare our empirical results with that of distributed systems. We show that our logic programming based reasoner using a single machine performs as similar as expensive distributed reasoner does up to 200 million RDFS triples. In addition, we designed a meta data structure by decomposing the ontology triples into separate sectors. Instead of loading all the triples into a single model, we selected an appropriate subset of the triples for each ontology reasoning rule. Unification makes it easy to handle conjunctive queries for RDFS schema reasoning, therefore, we have designed and implemented RDFS axioms using logic programming unifications and efficient conjunctive query handling mechanisms. The throughputs of our approach reached to 166K Triples/sec over LUBM1500 with 200 million triples. It is comparable to that of WebPIE, distributed reasoner using Hadoop and Map Reduce, which performs 185K Triples/sec. We show that it is unnecessary to use the distributed system up to 200 million triples and the performance of logic programming based reasoner in a single machine becomes comparable with that of expensive distributed reasoner which employs Hadoop framework.

• Archives of design research
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• v.15 no.4
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• pp.33-46
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• 2002

The present times is rapidly growing and changing. As both an industry and a social legislation are running after a generality, relatively the number of people who are out of it is gradually increasing. Those people are getting skeptical about their positions as well as their existences, so that a social deviant phenomenon has been continuously arising by themselves in public and private area. It is the Vandalism . People are often exposed to this Vandalism which is occurring around their life. Accordingly this study analyzed cause-and-effect Vandalism. As a means of impediment against the progressing Vandalism in design process, the study as been developed by approaching to an ergonomics design, a simple shape design (minimalism), a semantic design, a re-useful design. As a result, it comes to the fact that the Vandalism from the view of design is caused by a lack of ergonomics and user-interface, a failure of simple structure, a complication of excessive functions. Furthermore, it comes to the conclusion that industrial design is playing an important role in the contribution of social development, to create a design obstructing the vandalism will bring development of sound society.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.213-237
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• 2009

Local culture is a cultural heritage that has come down from generation to generation in the natural environment of a region. It includes history, tradition, natural features, art, and historic relics. The Academy of Korean Studies has complied "The Encyclopedia of Korean Local Culture" using those local culture contents. Local culture content shave the features of documentary, such as authenticating the source, and managing hierarchy structure. Thus, to deal with local culture contents, a "circular knowledge information management system" is sought for that helps basic, fragmentary, and high-level information to circulate to create new knowledge information within the system. A user of this circular knowledge information management system is able not only to collect data directly in it, but also to fetch data from other database. Besides, processing the collected data helps to create new knowledge information. But, it's very difficult to sustain the features of the original hierarchy bearing meaning contained in the various kinds of local culture contents when building a new database. Moreover, this kind of work needs many times of correction over a long period of time. Therefore, a system in which compilation, correction, and service can be done simultaneously is needed. Therefore, in this study, focusing on the case of "The Encyclopedia of Korean Local Culture", I propose a XML-based digital compilation management system that can express hierarchy information and sustain the semantic features of the local culture contents containing lots of ancient documents, and introduce the expanded functions developed to manage contents in the system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.8
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• pp.2899-2905
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• 2010

To be applicable under electronic health record system in order to ensure semantic interoperability of clinical information, the development principle for clinical information model to reflect objective and function is required. The aim of this study is to develop the development principles for clinical information model and evaluate the Clinical Contents Model. In order to develop the principle, from November 2008 to March 2009, the surveys about 1) definition, 2) function and 3) quality criteria were done, and 4) the components of advanced model were analyzed. The study was processed in 3 levels. Firstly in the development level, key words and key words-paragraph were driven from the references, and the principles were drawn based on the clinical or functional importance and frequency. In the application level, the 3 experts of clinical information model assessed 30 Clinical Contents Models by applying it. In the feedback level, the Clinical Contents Model in which errors were found was modified. As the results, 18 development principles were derived with 3 categories which were structure, process and contents. The Clinical Contents Models were assessed with the principles, and the 17 models were found that they did not follow it. During the feedback process, the necessity of the advanced education of the principle and the establishment of the regular quality improvement strategy to use it is raised. The proposed development principle supports the consistent model-development between clinical information model developers, and could be used as evaluation criteria.

• Journal of the Korean Association of Geographic Information Studies
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• v.11 no.3
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• pp.34-42
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• 2008

The control points are important assets of countries which express the most accurate location information that is used in surveying land and other measurements. The location information has played an important role in our daily lives with the development of ubiquitous technology. While many researchers have recently applied new technology like RFID(Radio-Frequency Identification) to the effective management of control points, the research into data retrieval and the interoperability of control point data is still primitive step. Therefore, we construct a data modeling to effectively manage control points using ontology data structure and focus on semantic retrieval method. Our retrieval system can provide the inferred and associated information among data using Prot$\acute{e}$g$\acute{e}$-OWL tool. Our system has advantages in reducing the number of repeated queries by hierarchy searching and improving the searching time by association searching. Also, we propose an effective method to construct retrieval systems being able to edit items of categories and properties without editing the related codes.

• International Journal of Advanced Culture Technology
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• v.5 no.3
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• pp.11-23
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• 2017

Anatomy is one of the basic subjects of the nursing course, which is included in the curriculum of the nursing. Anatomy is a basic course for understanding major in nursing and it is the first gateway to acquire expertise. It is mainly opened in nursing and first to second grades. Therefore, students who have advanced to the nursing department have great interest and expectation on the anatomy subjects. In general, nursing students are studying anatomy with theories and models, and some universities practice on tour after dissection of medical consortium for short time. This is called the Cadaver practice. This study was carried out to investigate the thoughts and experiences of bioethics through nursing students' Cadaver practice. The interview data were processed through the analysis and interpretation process using the phenomenological research method, Giorgi method. As a result, 48 semantic units were derived, and then they were divided into 10 subcomponents and divided into 6 categories. As a result of the analysis, the experience of nursing students' bioethics was tied to the topic of six questions. For example, 'what about the respect and responsibility of nursing students in Cadaver?', 'What about your experience with the Cadaver experiment and bioethics?', 'What was the academic achievement of the actual human body structure viewing experience with cadaver?', 'What was the connection with theory?', 'What was your intention to recommend to others?', 'What was your perception and interest in the Cadaver experiment?'. Analyzes were integrated into 10 structures; "Thank you for your donation", "want others to refuse donation", "Burden of practice", "Good opportunities for learning", "Understand better", "Should study harder", "Memory is better", "Compared to theory", "Good experience", "Want to rejoin". The general structural description of the participants' meanings is summarized as follows. Nursing college students who participated in the Cadaver had a gratitude for the donor, but they said they would like to talk to others about donating organs. Before they went to practice, they felt a lot of pressure on the dissection of the cadaver, but they went to the practice and thought that it was a good opportunity to learn by doing well. Specifically, they understood that they had better understanding than the theoretical lesson, and that they were more eager to study their major through practice. In other words, most of them were more memorable and they would like to participate again if the opportunity comes next time. The results of this study show that the practice of Cadaver in nursing college students is very positive in terms of educational effectiveness. However, in terms of bioethics, it can be seen that the education process is somewhat unsatisfactory. Therefore, the systematic bioethics education should be prepared before the practice in the nursing college students' Cadaver practice.

• Journal of Korea Multimedia Society
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• v.7 no.1
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• pp.132-144
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• 2004

With the rapid development of internet technology, the number of internet users and the amount of multimedia information on the internet is ever increasing. Recently, the web sites, such as e-business sites and shopping mall sites, deal with lots of image information. As a result, it is required to support content- based image retrieval efficiently on such image data. This paper proposes an intelligent image retrieval system, which adopts XML, technology. To support object-based col)tent retrieval on product catalog images containing multiple objects, we describe a multi -level metadata structure which represents the local features, global features, and semantics of image data. To enable semantic-based and content-based retrieval on such image data, we design a XML-Schema for the proposed metadata and show how to represent such metadata using XML- documents. We also describe how to automatically transform the retrieval results into the forms suitable for the various user environments, such as web browser or mobile browser, using XSLT The proposed scheme can be easily implemented on any commercial platforms supporting XML technology. It can be utilized to enable efficient image metadata sharing between systems, and it will contribute in improving the retrieval correctness and the user's satisfaction on content-based e-catalog image retrieval.