Recently, With the recent rapid development of technology, the amount of data generated by various systems is increasing, and enterprise servers and data centers that have to handle large amounts of big data need to apply high-stability and high-performance storage devices even if costs increase. In such systems, SSD(solid state disk) that provide high performance of read/write are often used as storage devices. However, due to the characteristics of reading and writing on a page-by-page basis, erasing operations on a block basis, and erassing-before-writing, there is a problem that performance is degraded when duplicate writes occur. Therefore, in order to delay this performance degradation problem, over-provision technology of SSD has been applied internally. However, since over-provided technologies have the disadvantage of consuming a lot of storage space instead of performance, the application of inefficient technologies above the right performance has a problem of over-costing. In this paper, we proposed a method of measuring the performance and cost incurred when various over-provisions are applied in an SSD and predicting the system-optimized over-provided ratio based on this. Through this research, we expect to find a trade-off with costs to meet the performance requirements in systems that process big data.
In order for the military to review the introduction of virtual reality technology into various education and training systems and fully utilize it, it is important to reflect the characteristics of the technology and education system and to accurately identify and selectively apply the characteristics of commercialization. In this study, the evaluation criteria were selected through the Analitic Hierarchy Process (AHP) method for factors to be considered when commercializing a virtual reality-based education and training system, and the priorities of the projects were determined. Based on previous studies, an initial AHP model was constructed and the relative importance of six factors, including reality, was analyzed as the level 1 evaluation criteria. Next, for Level 2, each evaluation criterion was evaluated to confirm the importance of each of the 11 tasks in the six evaluation criteria, and priorities were selected for each task. As a result of the analysis, level 1 showed that reality and ripple had higher importance than other factors. As a result of evaluating the final relative importance, the priority was shown in the order of ① flight training, ② disaster training, ③ shooting Training, and ④ driving a vehicle. Based on the relative priorities determined in Levels 1 and 2 of the model presented in this study, the importance of each project necessary for final decision-making of the research priorities for the defense virtual reality project was presented. It is expected that this study can be used as a reference material for prioritizing the commercialization of education and training systems in the defense sector.
This study examined whether there was a difference in the attitude toward the recommended product and the effect on the choice deferral according to information sources. Experiment 1 examined the relationship between trust in information and product attitude, and between uncertainty and choice deferral according to information sources (AI chatbot vs. human). Experiment 2 examined the impact of social presence, perceived personalization, and choice deferral according to whether anthropomorphism of AI chatbots or not. The research results are as follows. First, consumers were found to have a more positive attitude toward products recommended by AI chatbots (vs. human). Second, consumers were more choice deferral whether to purchase products recommended by AI chatbots (vs. human). Third, it was found that consumers' selection of products recommended by anthropomorphic AI chatbots (vs. impersonated AI chatbots) increased. Also, the implications of this study and future research directions were discussed.
The outbreak of COVID-19 is facing a global crisis. Therefore, this study comprehensively reviews the risk perception, tourism attitude, and tourism intention of potential tourists in the COVID-19 situation. As a research finding, three factors were derived for tourism risk perception: physical risk, social risk, and performance risk. It is verified that social risk to be a significant factors affecting tourism attitude. Also, it proved that social risk, performance risk to be important factors affecting tourism intention. A t-test was conducted to examine the implications of demographic characteristics(gender, age, job) in the study. As a result of the analysis, it was found that potential tourists in their 20's age perceived social risk as more important than other age groups. In addition, potential tourists in their 20's showed more positive tourism attitudes than other age groups. As a result of analyzing differences according to job, it was found that the student group had higher social risk, tourism attitude, and tourism intention than other occupational groups. Based on the research results, it can help derive strategies to reduce tourists' perception of risk in special situations such as COVID-19 and contribute to academia.
This study was conducted to confirm the relationship between the proactive accounts receivable management of SMEs on credit sales decision making and business performance, and to derive effective accounts receivable management plan and systematic credit sales decision making plan. Based on 455 copies of data collected through a survey targeting SMEs, it was confirmed through factor analysis, reliability analysis, confirmatory factor analysis, and model fit verification, and the research hypothesis was verified with a structural equation model. As a result of the verification, credit rating had a positive effect on financial performance, sales performance and credit sales decision, while credit control had a positive effect on financial performance, while negative effect on sales performance and credit sales decision. In the mediating effect hypothesis test, credit sales decision had a positive effect between credit rating and business performance and a negative effect between credit control and business performance. The study suggests that if small and medium-sized enterprises improve their business performance through effective accounts receivable management, they can create a synergistic effect in enhancing the business performance of companies if they simultaneously improve their proactive accounts receivable management and credit sales decision ability. Future research is required to study the impact of factors such as segmentation of research subjects and credit transaction motives and accounts receivables management.
This study aimed to compare changes in cognitive function, depression and ability to perform activity of daily living (ADL) in patients with dementia, mild cognitive impairment (MCI), and ischemic stroke (IS) and to identify factors associated with changes in instrumental ADL. A total of 86 patients (dementia=30, MCI=32, and IS=24) were included to analyse cognitive function, depression, and basic and instrumental ADL obtained at the time of diagnosis and 1 year after baseline. Repeated measures analysis of variance and multiple linear regression were used. A significant group by time interaction was found in executive function (p=.037) and instrumental ADL (p=.023) across groups. The MCI group has little change in executive function and instrumental ADL from the baseline to 1 year after diagnosis while other two groups showed changes with the dementia group showing declines and the group of IS having improvement in these factors over time. Changes in executive function(p=.030) and basic ADL (p<.001) explained 26.9% in the variance of changes in instrumental ADL. These findings showed a different changing pattern in executive function during the first year after diagnosis of dementia, MCI, and IS which have cognitive changes as their main symptoms, probably leading to a different changing pattern in instrumental ADL. Healthcare professionals should routinely assess for executive function and instrumental ADL problems and intervene to maintain and improve these functional outcomes immediately after disease.
Although domestic public libraries achieved quantitative growth based on the 1st and 2nd comprehensive library development plans, there were some qualitative shortcomings, and various studies have been conducted to improve them. Most of the preceding studies have limitations in that they are limited to social and economic factors and statistical analysis. Therefore, in this study, by applying the spatiotemporal concept to quantitatively calculate the decrease in public library loan demand due to rainfall and heatwave, by clustering areas with high demand for book loan due to weather changes and areas where it is not, factors inside and outside public libraries and After the combination, changes in public library loan demand according to weather changes were analyzed. As a result of the analysis, there was a difference in the decrease due to the weather for each public library, and it was found that there were some differences depending on the characteristics and spatial location of the public library. Also, when the temperature was over 35℃, the decrease in book loan demand increased significantly. As internal factors, the number of seats, the number of books, and area were derived. As external factors, the public library access ramp, cafe, reading room, floating population in their teens, and floating population of women in their 30s/40s were analyzed as important variables. The results of this analysis are judged to contribute to the establishment of policies to promote the use of public libraries in consideration of the weather in a specific season, and also suggested limitations of the study.
Focusing on the Gwangheemun that have a history of spatial specificity. Gwangheemun increase the value of space in the surrounding area, focused to derive a plan that can be activated. Research method was to analyze the characteristics and advantages and disadvantages of the surrounding space and the associated cultural content through SWOT analysis around the base of Gwangheemun. After considering the potential of the current location of physical characteristics and spatial resources, the possibility Gwangheemun development were mainly fashion and art content for the Space Vitalization in the surrounding area. Fashion and art space of Gwangheemun activated based on the possibility of Gwangheemun cultural meaning and value in the history of the past and the present time presented the main directions and strategic approach. The results of this research suggested Fashion art Hotel in applying urban regeneration methodologies, Cheongguro-16 plan for content development, arts and culture fashion street planning. Through this research, we want to establish the strategic control strategy between the policy decision making structures for the successful development of the fashion arts content.
The Journal of the Convergence on Culture Technology
/
v.9
no.2
/
pp.119-126
/
2023
Due to the COVID-19 phenomenon, more than one-third of SMEs in Korea have been working from home. Therefore, we tried to find out the management status of SMEs and find policy support. The survey data was based on the Bank of Korea's corporate management analysis 2021 data. As a result of the study, the debt of SMEs increased from 362 trillion won(2019) to 409 trillion won(2022), while their capital decreased from 489 trillion won(2019) to 336 trillion won(2022). Net profit and loss increased to 14.9 trillion won(2019) and 23.3 trillion won(2021). As a result of the company's financial soundness analysis, First, for stability, the current ratio was high compared to the total industry and the dependence on borrowings was high. Second, profitability improved from 3.20%(2019) to 4.28%(2021), but it was lower than 5.01%(2021) for all industries. Third, the growth rate showed an increase of 12.43%, which is 1.57 times faster than the total asset growth rate of 7.94%(2021) for all industries. As for the growth rate of sales, all industries(2021) showed (-)growth, while SMEs among manufacturing industries showed a growth rate of 14.78%. Fourth, as for activity, the total asset turnover ratio was higher at 0.96% compared to 0.73 for all industries. In conclusion, stability and profitability were low and growth potential was high compared to all industries. In the future, policies that focus on industries with high growth potential are needed.
The Journal of the Convergence on Culture Technology
/
v.9
no.3
/
pp.715-720
/
2023
The military is driving innovative changes such as AI, cloud computing, and drone operation through the Fourth Industrial Revolution. It is expected that such changes will lead to a rapid increase in the demand for information exchange requirements, reaching all lower-ranking soldiers, as networking based on IoT occurs. The flow of such information must ensure efficient information distribution through various infrastructures such as ground networks, stationary satellites, and low-earth orbit small communication satellites, and the demand for information exchange that is distributed through them must be appropriately dispersed. In this study, we redefined the DSCP, which is closely related to QoS (Quality of Service) in information dissemination, into 11 categories and performed research to map each cluster group identified by cluster analysis to the defense "information exchange requirement list" on a one-to-one basis. The purpose of the research is to ensure efficient information dissemination within a multi-layer integrated network (ground network, stationary satellite network, low-earth orbit small communication satellite network) with limited bandwidth by re-establishing QoS policies that prioritize important information exchange requirements so that they are routed in priority. In this paper, we evaluated how well the information exchange requirement lists classified by cluster analysis were assigned to DSCP through M&S, and confirmed that reclassifying DSCP can lead to more efficient information distribution in a network environment with limited bandwidth.
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