• Journal of Digital Convergence
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• v.17 no.2
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• pp.9-18
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• 2019

This study investigates the factors affecting the educational satisfaction and the transfer of learning of cyber crime prevention education students in order to confirm the effectiveness of the current education. Based on the CIPP model, we confirmed whether the level of social demand and the level of knowledge in the context evaluation, recency of subjects in the input evaluation and interaction in the process evaluation affect the educational satisfaction and the transfer of learning of the students by conducting the survey for the students. As a result of analysis, it was proved that the level of knowledge, recency of subjects and interaction had a significant relationship with the educational satisfaction and recency of subjects, interaction and educational satisfaction significantly affect transfer of learning. Based on the findings, this study provides a few constructive suggestions to improve the effectiveness of the cyber crime prevention education program.

• Journal of KIISE:Computer Systems and Theory
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• v.29 no.7
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• pp.369-376
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• 2002

Although LRU is not adequate for database that has non-uniform reference pattern, it has been adopted in most database systems due to the absence of the proper alternative. We analyze database block reference pattern with the realistic database trace. Based on this analysis, we propose a new cache replacement policy. Trace analysis shows that extremely non-popular blocks take up about 70 % of the entire blocks. The influence of recency on blocks' re-reference likelihood is at first strong due to temporal locality, however, it rapidly decreases and eventually becomes negligible as stack distance increases. Based on this observation, RCB(Reference Characteristic Based) cache replacement policy, which we propose in this paper, classifies the entire blocks into four block groups by blocks' recency and re-reference likelihood, and operates different priority evaluation methods for each block group. RCB policy evicts non-popular blocks more quickly than the others and evaluates the priority of the block by frequency that has not been referenced for a long time. In a trace-driven simulation, RCB delivers a better performance than the existing polices(LRU, 2Q, LRU-K, LRFU). Especially compared to LRU. It reduces miss count by 5~l2.7%. Time complexity of RCB is O(1), which is the same with LRU and 2Q and superior to LRU-K(O(log$_2$N)) and LRFU(O(l) ~ O(log$_2$N)).

• The Journal of the Acoustical Society of Korea
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• v.9 no.4
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• pp.77-85
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• 1990

This study investigated Greene and Corwder(1984)'s modified PAS model, according to which, in a short-term memory recall task, the recency and suffix effects existing in auditory and visual conditions are mediated by the same mechanisms. It also investigated whether the auditory information and mouthed information are encoded by the same codes. Though the experimental manipulation of the phonological nature, the presence of differential recall effect of consonant-and vowel-varied stimuli in auditory and mouthing conditions which has been supposed to interact with the recency and suffix effects, was investigated. The result shows that differential recall effect between consonant and vowel exists only in the auditory condition, but not in the mouthing condition. Thus, this result supported Turner.

• Journal of the Ergonomics Society of Korea
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• v.24 no.4
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• pp.73-78
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• 2005

As the number of functions in a menu increases, users have more difficulties in finding a desired function. Previous studies have shown that some functions are selected more frequently than others, and have suggested adaptive menus that support the selection of frequently used functions. Interestingly, studies on an adaptive toolbar are not easy to find as opposed to many studies on adaptive menus. This study suggested an adaptive toolbar (AT) that supported function selection, and conducted a usability test. Five or ten functions were presented in the AT according to the frequency of use or recency of use. A total of sixteen males in their twenties participated in the test. They freely selected functions from the menu or from the AT, and their pattern of selecting functions was analyzed. The results showed that the AT was more frequently used than the menu as time passed. The AT based on the recency of use showed more effective performance than that based on the frequency of use. In addition, keeping ten functions was better than five functions in terms of both performance and preference.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.6
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• pp.1038-1056
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• 2023

This study investigates the effects of ChatGPT's quality characteristics (service and information) on purchase intention and word of mouth intention. We distributed questionnaires among domestic men and women aged in their 20s and 30s who had experience of using ChatGPT. A total of 222 responses were subjected to frequency analysis, factor analysis, correlation analysis, and multiple linear regression analysis using the IBM SPSS statistical program version 26. The major findings were as follows: (1) The factors of service quality were categorized as Tangibility, Reliability, Empathy, and Assurance, while the factors of information quality were categorized as Recency, Accuracy, and Usefulness. (2) Among the service quality factors of ChatGPT, two factors (Reliability and Empathy) significantly impacted purchase intention, and three factors (Tangibility, Reliability, and Empathy) significantly affected word of mouth intention. (3) Among ChatGPT's information quality factors, two factors (Usefulness and Recency) had a significant effect on purchase intention, and two factors (Usefulness and Accuracy) exerted a significant influence on word of mouth intention. (4) Purchase intention had a significant effect on word of mouth intention.

• The Research Journal of the Costume Culture
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• v.26 no.1
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• pp.82-94
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• 2018

As the number of SNS(Weibo) users in China is growing rapidly, Chinese fashion brands are heavily dependent on SNSs as a fashion marketing communication tool. For this reason, the characteristics of SNS accounts and their influences on SNS users' responses need to be studied. Thus, the present study aimed to investigate the influences of the characteristics of Chinese fashion brands' SNS accounts(Weibo) on the perceived usefulness of and satisfaction with the SNS acount, and brand loyalty. Data were collected via a questionnaire survey of men and women living in Beijing or Shanghai aged from 18 to 49 with experience of SNSs(Weibo). After a pilot survey of 70 subjects, the preliminary questionnaire was revised and then translated into Chinese. The questionnaire translated into Chinese was back-translated into Korean to ensure the translation was correct. The final questionnaire was administered to 600 subjects. Exploratory and confirmatory factor analyses, reliability analysis, and structural equation model analysis were conducted for data analysis. The results of this study were as follows: Five factors were extracted for Weibo characteristics: interaction, information provision, information recency, information reliability, and information playfulness. The information reliability, information playfulness, and interaction of SNS accounts(Weibo) had significant influences on perceived usefulness. The information playfulness, information reliability, and information recency showed significant influences on satisfaction. The perceived usefulness exerted significant influences on satisfaction and brand loyalty. The satisfaction also had statistically significant influences on brand loyalty.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.493-504
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• 2020

Purpose: The purpose of this study is to propose an analytical methodology for selecting the priority of preventive projects in the course of carrying out disaster prevention projects that improve disaster-hazardous areas. Method: Data analysis was performed using RFM model which can divide data grade and perform target marketing based on Recency, Frequency, and Monetary. Result: The top 10% of the area with high RFM value was mainly in the East Sea and the South Sea coast, and the number of damage in private facilities was high. Conclusion: In this study, we used the RFM model to select the priority of disaster risk and to implement the regional disaster risk using GIS. These results are expected to be used as basic data for selecting priority project sites for disaster prevention projects and as basic data in the decision-making process for disaster prevention projects.

• Journal of Oriental Neuropsychiatry
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• v.28 no.4
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• pp.401-408
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• 2017

Objectives: The purpose of this study is to obtain the differential variable and learning effect of the serial position effect, targeting individuals aged 60 years and over. A total of 89 individuals were categorized into the following groups: Alzheimer's group, vascular dementia group, elderly depression group, and normal group. Methods: Considering the size of the groups used for comparison, of the total 89 participants, 28 were in the Alzheimer's group, 24 in the vascular dementia group, 16 in the elderly depression group, and 21 were randomly chosen for the normal group. In the CERAD-K word list memory test, 10 words were shown to the subjects. We then asked them to freely recall the words. After changing the order of the words three times, the same process was followed. Results: First, a significant difference was observed among the groups in terms of word recalling rate. The analysis conducted afterward showed that, as predicted, the depressed group showed significantly better performance in recalling the words. Second, the vascular dementia patients and the Alzheimer's patients showed, as predicted, better recall of the largest recency region of words shown. Third, the normal group and the elderly depressed group showed a high-performance rate, proving that the reiterative method can contribute to the recalling process. Thus, we demonstrated that the Alzheimer's group showed the deterioration of short memory recalling skills and the elderly depressed showed deteriorated output performance skill.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.191-198
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• 2013

This study examined the importance of independent variables that affect users' preference on the VODs of the newly-released movies by using the conjoint analysis. The results demonstrated that 'price(44.6%)' is the most important variable, which is followed by 'device(24.5%)', 'recency(18.0%)', 'producing country(12.9%)'. Respondents obtained the relatively high utility from watching the VOD of a Korean movie currently on screen in 3,000 wons. A television set was the most preferable device for watching VODs. The traditional windowing strategy in the media content market has been recently challenged by the new trend that the holdback period between market windows is ignored and the high-priced content is found in the second window. Nevertheless, this study demonstrated that users of the VODs of the newly-released movies are still very sensitive to the price and consider 'the recency' to be relatively less important than 'price'.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.12
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• pp.913-917
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• 2009

Flash memories have asymmetric I/O costs for read and write in terms of latency and energy consumption. However, the ratio of these costs is dependent on the type of storage. Moreover, it is becoming more common to use two flash memories on a system as an internal memory and an external memory card. For this reason, buffer cache replacement algorithms should consider I/O costs of device as well as possibility of reference. This paper presents WWCLOCK(Write-Weighted CLOCK) algorithm which directly uses I/O costs of devices along with recency and frequency of cache blocks to selecting a victim to evict from the buffer cache. WWCLOCK can be used for wide range of storage devices with different I/O cost and for systems that are using two or more memory devices at the same time. In addition to this, it has low time and space complexity comparable to CLOCK algorithm. Trace-driven simulations show that the proposed algorithm reduces the total I/O time compared with LRU by 36.2% on average.