• Journal of Intelligence and Information Systems
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• v.18 no.4
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• pp.1-17
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• 2012

Personalized smart devices such as smartphones and smart pads are widely used. Unlike traditional feature phones, theses smart devices allow users to choose a variety of functions, which support not only daily experiences but also business operations. Actually, there exist a huge number of applications accessible by smart device users in online and mobile application markets. Users can choose apps that fit their own tastes and needs, which is impossible for conventional phone users. With the increase in app demand, the tastes and needs of app users are becoming more diverse. To meet these requirements, numerous apps with diverse functions are being released on the market, which leads to fierce competition. Unlike offline markets, online markets have a limitation in that purchasing decisions should be made without experiencing the items. Therefore, online customers rely more on item-related information that can be seen on the item page in which online markets commonly provide details about each item. Customers can feel confident about the quality of an item through the online information and decide whether to purchase it. The same is true of online app markets. To win the sales competition against other apps that perform similar functions, app developers need to focus on writing app descriptions to attract the attention of customers. If we can measure the effect of app descriptions on sales without regard to the app's price and quality, app descriptions that facilitate the sale of apps can be identified. This study intends to provide such a quantitative result for app developers who want to promote the sales of their apps. For this purpose, we collected app details including the descriptions written in Korean from one of the largest app markets in Korea, and then extracted keywords from the descriptions. Next, the impact of the keywords on sales performance was measured through our econometric model. Through this analysis, we were able to analyze the impact of each keyword itself, apart from that of the design or quality. The keywords, comprised of the attribute and evaluation of each app, are extracted by a morpheme analyzer. Our model with the keywords as its input variables was established to analyze their impact on sales performance. A regression analysis was conducted for each category in which apps are included. This analysis was required because we found the keywords, which are emphasized in app descriptions, different category-by-category. The analysis conducted not only for free apps but also for paid apps showed which keywords have more impact on sales performance for each type of app. In the analysis of paid apps in the education category, keywords such as 'search+easy' and 'words+abundant' showed higher effectiveness. In the same category, free apps whose keywords emphasize the quality of apps showed higher sales performance. One interesting fact is that keywords describing not only the app but also the need for the app have asignificant impact. Language learning apps, regardless of whether they are sold free or paid, showed higher sales performance by including the keywords 'foreign language study+important'. This result shows that motivation for the purchase affected sales. While item reviews are widely researched in online markets, item descriptions are not very actively studied. In the case of the mobile app markets, newly introduced apps may not have many item reviews because of the low quantity sold. In such cases, item descriptions can be regarded more important when customers make a decision about purchasing items. This study is the first trial to quantitatively analyze the relationship between an item description and its impact on sales performance. The results show that our research framework successfully provides a list of the most effective sales key terms with the estimates of their effectiveness. Although this study is performed for a specified type of item (i.e., mobile apps), our model can be applied to almost all of the items traded in online markets.

• Korean journal of food and cookery science
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• v.33 no.1
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• pp.37-44
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• 2017

Purpose: The purpose of this study was to simplify the traditional manufacturing method of Jeungpyun by developing a new process for Jeungpyun preparation using meringue and to also investigate the quality characteristics of Jeungpyun made with green tea powder. Methods: The Jeungpyun was manufactured as 4 sample preparations (Jeungpyun: J; Jeungpyun+0.5% green tea: J+0.5% GT; Jeungpyun+1% green tea: J+1% GT; and Jeungpyun+1.5% green tea: J+1.5% GT) through mixing rice flour, meringue, green tea powder (0-1.5%), dry yeast, water, and milk, steaming for 4 min at $180^{\circ}C$ and 3 min at $220^{\circ}C$, and then standing for 1 hr at room temperature. The quality characteristics of Jeungpyun were evaluated based on physicochemical properties, total mold, texture analysis, and sensory evaluation. Results: The pH of Jeungpyun batter was significantly lower in J+1.0% GT and J+1.5% GT than J. The specific gravity, weight, volume, and specific volume of J+0.5% GT and J+1% GT was not significantly different, as compared to J. In color, L value decreased and a and b value increased based on the increase of green tea powder. The antifungal activity was the highest in J+1.5% GT, followed by J+1.0% GT, J+0.5% GT, and J, in order. Samples with added green tea powder showed decreased hardness, as compared with J; its effect was significant in J+1.0% GT and J+1.5% GT after storage for 1 day. In sensory evaluation, the color of Jeungpyun was darkened by the addition of green tea powder. The egg smell and hardness significantly decreased by addition of green tea powder. Based on quantitative description analyses, overall acceptability was the highest in J+1% GT. Conclusion: Therefore, 1% green tea powder was the optimal amount for preparing Jeungpyun with meringue. For simplification of the traditional manufacturing method, Jeungpyun could be produced with meringue and green tea powder, which has potent physiological activities.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.2
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• pp.231-242
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• 2023

Purpose : This study aimed to identify ways to improve the quality of physical therapy research and ultimately review the current situation to improve evidence-based decision-making in physical therapy. Methods : For better evidence-based decision-making in physical therapy, researchers should review the quality assessment of articles in more detail and report their findings for valid and appropriate level of evidence and strength of recommendations. The level of evidence affects how well the findings are derived from well-designed literature. The evaluation of the evidence focuses primarily on the study design and the degree of bias that may compromise the validity of the findings. The final recommendation is based on a combination of the study design and literature quality. To uncover gems of information in each paper, a risk of bias assessment should be performed after the literature has been initially selected. Results : Researchers should consider the complexity of the intervention, appropriate grouping, and calculation of effect sizes for the intervention. Researchers conducting systematic reviews should provide a detailed description of the quality assessment performed and present a detailed analysis of their interpretation of the results. The results of systematic reviews and meta-analyses should be interpreted with caution and include a risk of bias assessment. Guidelines for the level of evidence and strength of recommendations should be developed and utilized more broadly to improve reporting practices in physical therapy. Conclusion : Researchers should be knowledgeable about the strengths and limitations of each study design and methodology. In the future, researchers will also need to improve their ability to critically evaluate their findings, given the potential for their results to influence clinical practice.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.2
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• pp.141-147
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• 2011

This study analyzed the issues and its usefulness of drawing small-scale digital map by using the large-scale digital map which was producted with high-resolution digital aerial photograph which are commonly photographed in recent years. To this end, correlation analysis of the feature categories on the digital map was conducted, and this map was processed by inputting data, organizing, deleting, editing, and supervising feature categories according to the generalization process. As a result, 18 unnecessary feature codes were deleted, and the accuracy of 1/5,000 for the digital map was met. Although the size of the data and the number of feature categories increased, this was proven to be shown due to the excellent description of the digital aerial photograph. Accordingly, it was shown that drawing a small-scale digital map with the large-scale digital map by digital aerial photograph provided excellent description and high-quality information for digital map.

• Journal of Korean Academy of Nursing
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• v.47 no.3
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• pp.289-304
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• 2017

Purpose: The purpose of this study was to understand and describe the illness experience of married Korean women with epilepsy. Methods: Data were collected during 2015~2016 through individual in-depth interviews with 12 married women with epilepsy. Verbatim transcripts were analyzed using Giorgi's phenomenological analysis to uncover the meaning of the illness experience of the participants. Results: The study results showed that the illness experience of married Korean women with epilepsy was clustered into a specific description of situated structure and a general description of situated structure. Six themes from 20 meaning units were identified: 1) Undermined self-esteem with stigma of being epileptic; 2) Limited social interaction; 3) Suffering sorrow as a 'disqualified being'; 4) Shuttling back and forth across the boundary between healthy and epileptic; 5) Desperate struggle to meet the expectation of given role; 6) Self-empowering through self-restriction and realization. Conclusion: The findings from this study show that both the enacted and felt stigma of epilepsy impact on the life of married Korean women with epilepsy. Although the participants face social and interpersonal restriction and prejudices, they try their best to fulfill their role rather than to be cared for as patients. As the stigma and hardships of the participants are related to lack of knowledge, health professionals should focus not just on clinical intervention but also on providing targeted educational programs and counseling for these women to dispel the stigma of the disease and to increase their quality of life.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.347-354
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• 1999

The credit rating represents an assessment of the relative level of risk associated with the timely payments required by the debt obligation. In this paper, we present a new approach to credit rating of customers based on the rough set theory. The concept of a rough set appeared to be an effective tool for the analysis of customer information systems representing knowledge gained by experience. The customer information system describes a set of customers by a set of multi-valued attributes, called condition attributes. The customers are classified into groups of risk subject to an expert's opinion, called decision attribute. A natural problem of knowledge analysis consists then in discovering relationships, in terms of decision rules, between description of customers by condition attributes and particular decisions. The rough set approach enables one to discover minimal subsets of condition attributes ensuring an acceptable quality of classification of the customers analyzed and to derive decision rules from the customer information system which can be used to support decisions about rating new customers. Using the rough set approach one analyses only facts hidden in data, it does not need any additional information about data and does not correct inconsistencies manifested in data; instead, rules produced are categorized into certain and possible. A real problem of the evaluation of the evaluation of credit rating by a department store is studied using the rough set approach.

• Transactions of the Korean Society of Automotive Engineers
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• v.14 no.6
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• pp.127-136
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• 2006

Prediction of diesel particulate filtration is typically made by virtue of modeling of particulate matter(PM) collection. The model is closed with filtration parameters reflecting all small scale phenomena associated with PM trapping, and these parameters are to be traced back by inversely analyzing large-scale empirical data-the pressure drop histories. Included are soot cake permeability, soot cake density, soot density in the porous filter wall, and percolation constant. In the present study, a series of single channel DPF experiment is conducted, pressure histories are inversely analyzed, and the essential filtration parameters are deducted by DPF filtration model formulated with non-linear description of soot cake regression. Sensitivity analyses of model parameters are also made. Results showed that filtration transients are significantly altered by the extent of percolation constant, and the soot density in the porous filter wall is controlling the filtration qualities in deep-bed filtration regime. In addition, effect of soot particle size on filtration quality is distinct in a period of soot cake regime.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.337-344
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• 2005

UDDI server is the web services registry enabling users to register and search for web services. However, the existing UDDI servers do not provide any information about web services qualify. We designed and developed a UDDI broker system which actively monitors and analyses the qualify of web services. The analysis results are presented to users in statistical figures and graphs. With this information a user can select a web service that meets his/her needs. Availability, performance, and stability were the metrics used for the service qualify measurement and analysis.

• International Journal of Computer Science & Network Security
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• v.22 no.1
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• pp.39-48
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• 2022

Today the regulation of socio-economic development has been the subject of active scientific debate. The modern paradigm of regulatory policy in foreign countries involves a change in the role and strategy of the state, which determines the relevance of this topic. The aim of the article is to study the current state of regulatory policy research. The article is based on a bibliographic analysis of the study of regulatory policy. The study is based on the data search functions of the Scopus platform. It uses a set of VOSviewer program, online visualization of keywords in the titles of scientific journals and citations of publications. The study led to the conclusion that the number of publications that directly study the nature and features of regulatory policy is insignificant, but constantly growing. In our opinion, further research should determine the essence of regulatory policy as a separate category, a description of its features and factors of formation. It is also necessary to develop a common concept that governments should be actively involved in ensuring the quality of regulation, rather than responding to the shortcomings of regulation, which is evolving into regulatory governance.

• Tribology and Lubricants
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• v.39 no.3
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• pp.118-122
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• 2023

In our study, we develop a finite element model based on Archard's wear law to predict the cumulative wear and the evolution of the tool profile in friction stir welding (FSW) applications. Our model considers the rotational and translational behaviors of the tool, providing a comprehensive description of the wear process. We validate the accuracy of our model by comparing it against experimental results, examining both the predicted cumulative wear and the resulting changes to the tool profile caused by wear. We perform a detailed comparison between the predictions of the model and experimental data by manipulating non-dimensional coefficients comprising model parameters, such as element sizes and time increments. This comparison facilitates the identification of a specific non-dimensional coefficient condition that best replicates the experimentally observed cumulative wear. We also directly compare the worn tool profiles predicted by the model using this specific non-dimensional coefficient condition with the profiles obtained from wear experiments. Through this process, we identify the model settings that yield a tool wear profile closely aligning with the experimental results. Our research demonstrates that carefully selecting non-dimensional coefficients can significantly enhance the predictive accuracy of finite element models for tool wear in FSW processes. The results from our study hold potential implications for enhancing tool longevity and welding quality in industrial applications.