• International journal of advanced smart convergence
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• v.11 no.4
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• pp.68-80
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• 2022

Since the launch of AI, technology development to implement complete and sophisticated AI functions has continued. In efforts to develop technologies for complete automation, Machine Learning techniques and deep learning techniques are mainly used. These techniques deal with supervised learning, unsupervised learning, and reinforcement learning as internal technical elements, and use the Big-data Analysis method again to set the cornerstone for decision-making. In addition, established decision-making is being improved through subsequent repetition and renewal of decision-making standards. In other words, big data analysis, which enables data classification and recognition/recognition, is important enough to be called a key technical element of AI function. Therefore, big data analysis itself is important and requires sophisticated analysis. In this study, among various tools that can analyze big data, we will use a Python program to find out what variables can affect addiction according to smartphone use in a decision tree environment. We the Python program checks whether data classification by decision tree shows the same performance as other tools, and sees if it can give reliability to decision-making about the addictiveness of smartphone use. Through the results of this study, it can be seen that there is no problem in performing big data analysis using any of the various statistical tools such as Python and R when analyzing big data.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.6
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• pp.3696-3705
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• 2014

This study examined the nurse images perceived by nursing students. The study was specifically meant to determine what images grade 2 and 3 nursing students had about nurses before and after their clinical practice to define the nurse's image. The selected nursing students were interviewed to obtain their opinions on the definition and necessity of a nurse and what a great nurse should be like as well as their prejudice about nurses, and content analysis was carried out to categorize their statements. As a result, 48 significant statements and 14 categories were selected. The findings of the study might not be generalizable because the subjects in this study were selected by convenience sampling from two different nursing departments located in Gangwon Province and Gyeonggi Province. More concrete and reliable results are expected if more students from more geographic regions are investigated.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 1995.11a
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• pp.51-58
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• 1995

The importance of the risk analysis tool has been recognized and its use also has been emphasized by a number of researchers recently The methodology were examined but neither algorithms nor practical applications have been implemented or practiced in Korea. In this paper, the architecture of the Buddy System, one of the automated risk assessment tools. is analyzed in depth to provide the algorithmic understanding and to promote the development of the risk analysis methodology. The Buddy System mainly uses three main factors of vulnerability, threat and countermeasures as a nucleus of the qualatative analysis with the modified loss expectancy value. These factors are identified and assessed by the separation of duties between the end user and security analyst. The Buddy System uses five axioms as its bases of assessment algorithm and the assessed vulnerability level is strictly within these axioms. Since the In-place countermeasures reduce the vulnerability level up to a certain level. the security analyst may use "what if " model to examine the impact of additional countermeasures by proposing each to reduce the vulnerability level further to within the acceptable range. The emphasis on the qualitative approach on vulnerability leveling is very well balanced with the quantitative analysis that the system performance is prominent.prominent.

• Korean Management Science Review
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• v.25 no.1
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• pp.139-147
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• 2008

Conjoint Analysis is marketers' favorite methodology for finding out how buyers make trade-offs among competing products and suppliers. Thousands of applications of conjoint analysis have been carried out over the past three decades. The conjoint analysis has been so popular as a management decision tool due to the availability of a choice simulator. A conjoint simulator enables managers to perform 'what if' question accompanying the output of a conjoint study. Traditionally the First Choice Model (FCM) has been widely used as a choice simulator. The FCM is simple to do, easy to understand. In the FCM, the probability of an alternative is zero until its value is greater than others in the set. Once its value exceeds that threshold, however, it receives 100%. The LOGIT simulation model, which is also called as "Share of Preference", has been used commonly as an alternative of the FCM. In the model part worth utilities aren't required to be positive. Besides, it doesn't require part worth utilities computed under LOGIT model. The simulator can be used based on regression, monotone regression, linear programming, and so on. However, it is not free from the Independent from Irrelevant Alternatives (IIA) problem. This paper proposes the EBA (Elimination-By-Aspects) model as a useful conjoint-like method. One advantage of the EBA model is that it models choice in terms of the actual psychological processes that might be taking place. According to EBA, when choosing from choice objects, a person chooses one of the aspects that are effective for the objects and eliminates all objects which do not have this aspect. This process continues until only one alternative remains.

• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.11 no.1
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• pp.20-27
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• 2000

To determine what is the change of pre and postoperative voice and image analysis parameters and correlations between them, videostroboscopy was analyzed in each 18 patients with unilateral vocal cord paralyses or vocal polyps before and after the surgery from November, 1996 to April, 1999. The correlation between acoustic and aerodynamic parameters was investigated. The software-Videolink and $\pi$-View(Mediface Co, Seoul, Korea)-was used in a quantitative analysis. In unilateral vocal cord paralysis, the glottic angle is well correlated with maximum phonation time, jitter and shimmer preoperatively. The postoperative glottic angle is also correlated with preoperative maximum phonation time. In patients with the vocal polyp, the chink is postoperatively decreased, but the size of the chink and the polyp is not correlated with pre and postoperative voice analysis parameters. These findings reveal that glottic an and vocal fold angle are good indicators of e postoperative glottic configuration in unilateral vocal cord paralysis. Vocal fold ratio is also a useful indicator that represents the length of vocal folds. We consider that the computerized analysis through videostroboscopy is one of objective diagnostic methods in many voice disorders if we can measure a distance between the telelaryngoscope and vocal folds.

• Advanced Composite Materials
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• v.16 no.3
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• pp.245-258
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• 2007

The single-modal Weibull model has been assessed on Tyranno ZMI Si-Zr-C-O fiber if a set of shape and scale parameters accurately reproduced the effect of the size of the diameter on strength. The tensile data of a single fiber have been divided into two expedient groups as 'small diameter' group and 'large diameter' group in deriving the parameters, which should be consistent if the Weibull model accurately reproduced the size effect. However, the derived Weibull parameters were inconsistent between the two groups. Thereby the authors have concluded that the parameters of the single-modal Weibull model are dependent on the fiber diameter, so that the model is inadequate to reproduce the strength size effect. On the other hand, Weibull parameters were found consistent between the two groups by excluding the data of 'large mirror zone' sample, which was defined as the sample around 10% mirror zone area of the fracture surface. What is more, the exclusion reduced the strength variance more drastically in the 'large diameter' group than in the 'small diameter' group, even though the 'large mirror zone' samples were found identical in the percentage between the two groups. The authors therefore conclude that diameter limitation to the 'small diameter' group level can lead to drastically less distributed strength values than the estimated strength through the Weibull scaling on the present Tyranno ZMI Si-Zr-C-O fiber.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.8
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• pp.1196-1204
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• 2002

This research was to see if the fashion product ads are standardized or differentiated, and to find what were the determinants if any differentiation existed. The purpose of this study was to identify cultural characteristics significant on marketing fashion produce. In addition, the relative importance of product appeals between rational and emotional in the fashion ads was examined. Hofstede's(l991) three cultural characteristics dimensions such as individualism-collectivism, power distance, masculinity-femininity were used. Content analysis was applied in the study. Magazine ads of apparel, cosmetics and accessories were collected from France, Japan, Korea and the US in 1999-2000. Cultural characteristics of the fashion ads were evaluated and compared in terms of country, product type and product involvement. Also ten consumption appeals were examined for county and product type. ANOVA, Duncan test and $X^2$ test were applied to analyze data. The results were shown as follows: First, all the cultural characteristics such as individualism-collectivism, power distance, and femininity-masculinity were different among countries. Second, two product appeals were significantly different among countries. Hedonic appeals were dominant fur France and the US while those were not for Korea and Japan. Third, product involvement level had significant impact on power distance characteristic and product appeals. Ads of high involvement fashion goods showed larger power distance and more emotional appeals. In conclusion, global fashion ads should be differentiated in terms of some cultural characteristics and product appeals.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.752-757
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• 2009

In the last decade, many methods such as greet chamber, reservoir, or debris barrier, have been utilized to manage and prevent muddy water problem. The Vegetative Filter Strip (VFS) has been thought to be one of the most effective methods to trap sediment effectively. The VFS are usually installed at the edge of agricultural areas adjacent to stream or drainage ditches, and it has been shown that the VFS effectively removes pollutants transported with upland runoff. But, if the VFS is installed without any scientific analysis of rainfall-runoff characteristics, soil erosion, and sediment analysis, it may not reduce the sediment as much as expected. Although Soil and Water Assessment Tool (SWAT) model has been used worldwide for many hydrologic and Non-Point Source Pollution (NPSP) analysis at a watershed scale. but it has many limitations in simulating the VFS. Because it considers only 'filter strip width' when the model estimates sediment trapping efficiency, and does not consider the routing of sediment with overland flow option which is expected to maximize the sediment trapping efficiency from upper agricultural subbasin to lower spatially-explicit filter strip. Therefore, the SWAT overland flow option between landuse-subbasins with sediment routing capability was enhanced with modifications in SWAT watershed configuration and SWAT engine. The enhanced SWAT can simulate the sediment trapping efficiency of the VFS in the similar way as the desktop VFSMOD-w system does. Also it now can simulate the effects of overland flow from upper subbasin to reflect the increased runoff volume at the receiving subbasin, which is what is occurring at the field if no diversion channel is installed. In this study, the enhanced SWAT model was applied to small watershed located at Jaun-ri in South Korea to simulate diversion channel and spatially-explicit VFS. It was found that approximately sediment can be reduced by 31%, 65%, 68%, with diversion channel, the VFS, and the VFS with diversion channel, respectively.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.366-374
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• 2015

This study investigated what factors would affect suicidal ideation of the people who have received public assistance. For the purpose, the survey results of the 7th year(2012) of Korea Welfare Panel Study, which were conducted by Korea Institute for health and Social Affairs and Social Welfare Research Institute of Seoul National University, were used for analysis. In order to figure out the level of influence on the suicidal ideation, a binary logistic regression analysis using a binary logistic model was used as an analysis method. As a result, it was found that when the subjects are middle school graduates, and if they are married, there are low suicidal ideation. Also, the higher their self-esteem is and the higher their satisfaction with public assistance, the lower there they have suicidal ideation. Furthermore, it was proved that if they have depression, or in middle age, they have high possibility of suicidal ideation. It was proved that satisfaction with public assistance also can have influence on the suicidal ideation of the poor class, not only physical and psychological factors. Therefore, measuring the satisfaction of the recipients with public assistance can be one of the significant factors that affects suicidal ideation.

• Quality Improvement in Health Care
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• v.23 no.1
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• pp.11-23
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• 2017

Root Cause Analysis (RCA) has been widely used as a structured approach to investigate patient safety incidents. RCA helps identify what, how, and why something happened, therefore preventing recurrence of incidents. Since many quality tools can be used during RCA, various formats of RCA exist. If RCAs are performed incorrectly or incompletely, they are likely to produce unusable results. To address this issue, RCA software has been developed. The use of RCA software in investigating patient safety incidents may offer several advantages, such as potential reduction in learning time, shortening of the analytic process, facilitation of collection, analysis, and presentation of data and production of meaningful RCA reports. We introduced six healthcare RCA software and compared characteristics. Results from this study will enable the RCA team to choose proper RCA software.