• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.6 s.165
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• pp.869-878
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• 2007

The purpose of this study was to investigate perception of risks among South Korean female college students within the process of purchasing apparel products through the Internet. The study was implemented by descriptive survey method using questionnaire and subjects consisted of 324 South Korean female college students. Findings of the study showed that the purchasing process particularly regarding delivery and security issues seemed to be a strong concern. On the other hand, unique selection such as apparel brands only available through the Internet was a strong appeal to 37.7% of subjects. Factor analysis profiled risk perception as: 1) Internet Shopping Selection Preference, 2) Delivery Problems and Lack of Security 3) Product Quality and Characteristics 4) Return Policy Difficulties and 5) Fair Prices. Discriminant analysis showed Factors 1, 2 and 3 were significant in helping to differentiate among Non-Purchasers, Fewer-purchasers and Many-Purchasers. Factor 1 and 3 helped differentiate among respondents relative to age range. Across all types of purchasers, offering unique selections of cutting edge fashions and improving risk perception relative to delivery and security concerns seemed important for gaining greater market share. Being able to delivery quality products and communicate product characteristics would be a powerful competitive edge to add to the incentive of convenience in shopping for apparel on the Internet.

• Journal of Gifted/Talented Education
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• v.23 no.3
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• pp.435-452
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• 2013

The purpose of this study was to investigate a useful model of giftedness in invention. Lee, et al.(2012a) with many other specialists in education for the gifted in invention had proposed a model which looked promising as the theoretical foundation for the field of gifted education in invention, which has been absent for a decade after gifted education in the area of invention started in Korea. Results from two delphi studies and specialists numerous discussions by resulted in a more refined model of giftedness in invention. The new model is based on the inventor's three main aptitudes, which are Knowledge-Skill aptitude, Synthesis-Creativity aptitude, and Character aptitude. These three aptitudes are integrated with 12 factors and 40 behaviors. Through the outcome of this study, we can expect the following : The field of gifted education in invention can have the theorical foundation that practitioners and researchers can share for further practical and academical communication. The new model of giftedness in invention can be used as the basis for identifying promising students who are gifted in invention. Programs and Intervention for gifted students in invention can be designed or evaluated based on the new model.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.8
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• pp.627-633
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• 2019

Rapid and accurate identification of marine microalgae causing harmful algal blooms (HABs) is a crucial tool for predicting and managing HABs. We previously developed a nuclease protection assay sandwich hybridization (NPA-SH) method for the in situ detection of blooming microalgae Cochlodinium polykrikoides. In this study, we improved the applicability of the NPA-SH method for the detection of C. polykrikoides by simplifying the reaction step. For this purpose, invertase (INV) was conjugated to the signal probe instead of using fluorescence, and sucrose was used as a reactant to induce a color reaction. The INV-signal probe conjugation was confirmed by SDS-PAGE and epifluoromicroscopy. The treatment time and appropriate amounts of the probe and sucrose that optimized the reaction were determined. As a result, the developed INV-SH reduced the treatment time in the field compared with NPA-SH, and also enabled the use of a relatively small volume and low-priced personal glucose meter, as well as an absorbance meter. INV-SH is the first C. polykrikoides species identification technology to which INV has been applied and could be an improved field technique.

• The Journal of the Korea Contents Association
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• v.16 no.6
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• pp.225-235
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• 2016

This study aims at developing Reminiscence Function Scale-Short Form(RFS-S) and verifying it as a supplemental diagnosis instrument to judge differences between normal and mild cognitive impairment and useful measure to rate effects of reminiscence therapy in the clinical field through internal consistency reliability and criterion validity. The study also aims at figuring out factors affection reminiscence function by figuring out demographic features of RFS-S. The research subjects were the control group of 60 normal people and experimental group of 58 people with mild cognitive impairment and both groups were over 65 years old. For internal consistency reliability(Cronbach's alpha) between questions was reliable with 0.63. Convergent validities of RFS-S with SRT and CDR-SB were 0.20(p<.05) and -0.25(p<.001), respectively, as both showed significant correlations. As a result of criterion validity to analyze AUROC, it was 0.68(p<.001) and less accurate. Its optimal cut-off points were 17 and sensitivity according to them was 0.59, and specificity was 0.72, respectively. However, reminiscence function according to demographic variables did not show any significant differences. Therefore, it is expected that RFS-S will be used as a supplemental diagnosis instrument with higher reliability and validity for discerning differences between normal and mild cognitive impairment and as a useful one to verify effects of reminiscence therapy.

• The Journal of the Korea Contents Association
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• v.11 no.9
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• pp.407-413
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• 2011

Distinguishing aphasia in stroke patients and observing the subtle linguistic characteristics associated with it primarily requires the use of instruments that provide reliable assessment results. Additionally, examiners should be fully aware of how to use those instruments. This study examined 46 stroke patients for aphasia and assessed the reliability of their diagnoses according to examiners whose medical fields were different from each other. Furthermore, a comparison was made between the reliability before training and that after training. To this end, 46 stroke patients were tested for aphasia and in terms of their speech disorder degree by 3 groups, each of which consisted of 12 professionals (3 SLP, 3 neurologist, and 3 nurse). In the result, a rating of 'acceptable' was given for speech intelligibility tasks and the voice quality of /ah-/ prolongation, and other sub-tests were marked as 'good-excellent' by the experts with different areas of medical expertise. For the tasks marked as 'acceptable', the subjects were video-trained for 3 weeks and the differences were compared before and after their training. Consequently, the differences in the examiners' ratings in the speech intelligibility tasks showed a significant decrease and the accuracy of their voice quality ratings showed a significant increase. In the result of research on the correlation between the accuracy of the sub-test ratings and the amount of clinic experience, speech therapists developed more accuracy in rating a picture description task and a speech intelligibility task as their experience accumulated. Meanwhile, doctors and nurses showed more accurate ratings in picture description tasks with greater clinical experience. The results of this study suggest that assessing the neurologic-communicative disorders of stroke patients requires ongoing training and experience, especially for speech disorders. It was also found that the rating reliability in this case could be improved by training.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.1 s.1
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• pp.193-201
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• 1993

In a number of areas, there are important benefits to be gained when we bring both the detection and monitoring abilities of remote sensing as well as the philosophical approach and analytic capabilities of a geographic information system to bear on a problem. A key area in the joint applications of remote sensing technology and GIS is to identify change. Whether this change is of interest for its own sake, or because the change causes us to act (for example, to update a map), remote sensing provides an excellent suite of tools for detecting change. At the same time, a GIS is perhaps the best analytic toot for quantifying the process of change. There are two alternative methods for quantifying changes. The conceptually simple approach is to un the pixel values in each of the images. This method is practical but may be too simple to identify the variety of changes in a complex scene. The common alternative is called symbolic change detection. The analyst first decides on a set of thematic categories that are important to distinguish for the application. This approach is useful only if accurate landuse/cover classifications can be obtained. Persons conducting digital change detection must be intimately familiar with the environment under study, the quality of the data set and the characteristics of change detection algorithms. Also, much work remains to identify optimum change detection algorithms for specific geographic areas and problems.

• Journal of The Korean Association For Science Education
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• v.21 no.4
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• pp.677-688
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• 2001

The purposes of this study are to investigate the school science high achievers' achievements in enrichment physics, logical thinking level, and to analyze the relationship between logical thinking level and the achievement in enrichment physics of high achievers in science. The subjects were 357th and 8th graders who achieved highly in school science. To assess their achievements in enrichment physics, we developed a new test consisting of descriptive problems which were based on middle school curriculum. Those problems require one or two steps of thinking process, not simple knowledge of science. To assess logical thinking level, we used the instrument called GALT(Group Assessment of Logical Thinking) developed by Roadranka et al. The results showed that the school science high achievers' average achievement in enrichment physics was low, 56.3 out of 150, which indicated that they had not done much of enrichment learning beyond middle school science curriculum. Just only 54% of the school science high achievers are in formal logical thinking level. From the analysis of relationship between their logical thinking level and the achievement in enrichment physics, the value of the correlation coefficient was 0.174, which means that they are not almost correlated. Therefore, it is not desirable to judge science gifted children just from achievement in school science or enrichment physics, so both(logical thinking and the achievement in enrichment physics) tests should be taken for selecting gifted student.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.312-320
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• 2013

This study was to examine usefulness of MoCA-K by comparing the correlation between LOTCA-G, MMSE-K and MoCA-K, regarding detecting elderly people's mild cognitive function in local community. The experiments in which the three different evaluation methods were employed, of this study were conducted on 50 elderly people. While the score of MoCA-K and MMSE-K was $22.72{\pm}5.85$ out of 30 and $25.08{\pm}3.78$ out of 30 respectively, the result of LOTCA-G was $96.28{\pm}6.82$ out of 104. Observing each result of the three cognitive function assessment tools towards general characteristics showed no significant differences in gender. However, they were at considerable variance with age and education level of the example group. As all the three results of the assessment methods showed high correlation, it is reasonable to believe that MoCA-K is an appropriate evaluation tool to assess the cognitive function of old people.

• Journal of the Korea Society for Simulation
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• v.19 no.4
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• pp.151-159
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• 2010

Currently, by using the Internet, We can do varius things such as Web surfing, email, on-line shopping, stock trading on your home or office. However, as being out of the concept of security from the beginning, it is the big social issues that malicious user intrudes into the system through the network, on purpose to steal personal information or to paralyze system. In addition, network intrusion by ordinary people using network attack tools is bringing about big worries, so that the need for effective and powerful intrusion detection system becomes very important issue in our Internet environment. However, it is very difficult to prevent this attack perfectly. In this paper we proposed the algorithm for the detection of DoS attacks, and developed attack detection tools. Through learning in a normal state on Step 1, we calculate thresholds, the number of packets that are coming to each port, the median and the average utilization of each port on Step 2. And we propose values to determine how to attack detection on Step 3. By programing proposed attack detection algorithm and by testing the results, we can see that the difference between the median of packet mounts for unit interval and the average utilization of each port number is effective in detecting attacks. Also, without the need to look into the network data, we can easily be implemented by only using the number of packets to detect attacks.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.2
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• pp.305-318
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• 2023

The complexity of software products led many manufacturers to stitch open-source software for composing a product. Using open-source help reduce the development cost, but the difference in the different development life cycles makes it difficult to keep the product up-to-date. For this reason, even the patches for known vulnerabilities are not adopted quickly enough, leaving the entire product under threat. Existing studies propose to use binary differentiation techniques to determine if a product is left vulnerable against a particular vulnerability. Despite their effectiveness in finding real-world vulnerabilities, they often fail to locate the evidence of a vulnerability if it is a small function that usually is inlined at compile time. This work presents our tool FunRank which is designed to identify the short functions. Our experiments using synthesized and real-world software products show that FunRank can identify the short, inlined functions that suggest that the program is left vulnerable to a particular vulnerability.