• Journal of Distribution Research
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• v.7 no.1
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• pp.105-127
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• 2002

This paper presents an analysis of how the business models of organizations are getting transformed in the Marketspace created by the Internet. We use a research model comprising the transformation scores of four Ps(Product, Price, Promotion, and Place) as dependent variables and three dimensions, Demographics, Technology, and Community elements on the Websites, as explaining variables about the Cyber Transformation of the 4Ps. While most existing literatures have focused on Website's technology, our research model includes 22 five-point-scale items; 10 Demographics /Technology items and 12 Community items. To measure the 4P's transformation scores, the authors selected 14 workable items from the Marketspace Model by Dutta, Kwan, & Segev(1997). A sample of 123 shopping mall Websites comprising three categories(grocery, jewelry/accessory, and cosmetics) from the 100hot.co.kr list are evaluated and the data is analyzed by SPSSWIN 8.0 version. The result shows that there are five significant factors, Technology, Interaction, Connectedness, Business Features, and Domain, while the average transformation scores of 4Ps are at very low level. The factor scores are used in regression analysis for each P. Two factors, Technology and Interaction are influencing all four Ps; Connectedness is influencing only two, Product and Place. Organizations must not simply take their existing business models. They have to adopt the Technology items(navigation, logo, e-mail, guide, graphics) and to facilitate the Interaction items(consulting, number/quality of bulletin boards, participation, offline events) and Connectedness(club activation, contents, partner/site link, entertainment contents) in order to get transformed in the Marketspace successfully in the near future.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.33 no.3
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• pp.93-100
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• 2021

Since the IB (Immersed Boundary) method, which can perform coupling analysis with objects and fluids having an impermeable boundary of arbitrary shape on a fixed grid system, has been developed, the IB method in various CFD models is increasing. The representative IB methods are the directing-forcing method and the ghost cell method. The directing-forcing type method numerically satisfies the boundary condition from the fluid force calculated at the boundary surface of the structure, and the ghost-cell type method is a computational method that satisfies the boundary condition through interpolation by placing a virtual cell inside the obstacle. These IB methods have a disadvantage in that the computational algorithm is complex. In this study, the simplified immersed boundary (SIB) method enables the analysis of temporary structures on a fixed grid system and is easy to expand to three proposed dimensions. The SIB method proposed in this study is based on a one-field model for immiscible two-phase fluid that assumes that the density function of each phase moves with the center of local mass. In addition, the volume-weighted average method using the density function of the solid was applied to handle moving solid structures, and the CIP method was applied to the advection calculation to prevent numerical diffusion. To examine the analysis performance of the proposed SIB method, a numerical simulation was performed on an object falling to the free water surface. The numerical analysis result reproduced the object falling to the free water surface well.

• The Southeast Asian review
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• v.28 no.4
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• pp.115-159
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• 2018

This paper situates 63 provinces of Vietnam on a two-dimensional governance space, according to their levels of both economic and political governance, and systematically explains the two-dimensional distribution of provincial governance. It presents three sets of explanatory factors: the amount of foreign direct investment (FDI) that each province has attracted, the combination of provincial urbanization and population density, and the North Central Coast region factor. Provinces that score high in both economic and political governance tend to have received a good amount of FDI and to be highly urbanized and densely populated whereas provinces that score low in both governance dimensions tend to have the opposite characteristics. Provinces that are high in economic governance but low in political governance are those that have received the greatest amount of FDI and tend to be highly urbanized yet relatively sparsely populated. Provinces that are high in political governance but low in economic governance are characterized by a relatively small amount of FDI, low urbanization, and high population density. Finally, provinces in the North Central Coast region tend to score very high in political governance.

• Journal of Popular Narrative
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• v.27 no.1
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• pp.227-264
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• 2021

This paper summarizes the concept of ludonarrative dissonance that occurred in the realm of full-scale game criticism, and materializes it with the latest work . In the process, it is examined that this game actively utilizes the ludonarrative dissonance to deliver cognitive experiences to players that go beyond the definition of gameness. Along with the all-round development of AAA-class games, the ludonarrative dissonance is emerging as an important task that each game must overcome. On the contrary, however, it should be noted that has a different effect than expected by revealing rather than overcoming the ludonarrative dissonance. The ludonarrative dissonance conveyed by has the effects of ironic interpretative possibilities. This paper looks at dissonance in two dimensions, and the first is the dissonance between the play-narrative structure inside the game. induces the player to recognize the dissonance and actively reconstruct the meaning of the whole game by reminding the player of the dissonance that occurs between the two structures. Second, it stimulates the cognitive dissonance that exists inside the player playing the game beyond the internal structure of the game. That is, by expanding the concept of gameness, it evokes the possibility that games can function more than a tool for convenient self-efficacy. As such, the ludonnarrative dissonance can be a more fundamental redefinition of game nature and an expression of a problem consciousness about the possibility of change.

• The Journal of the Korea Contents Association
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• v.22 no.2
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• pp.487-500
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• 2022

This study aims to examine visitors' usage intention of the mobile AR(Augmented reality) application for tourism in Korea. For this purpose, the study analyzed how three attributes of AR tourguide app such as interactivity, vividness, and novelty have influenced on the tourist in terms of three realms of their flow, their experience (education, entertainment, esthetics, and escapism), and their usage intention for the future. It conducted an online survey from 20 to 30 year-old 291 participants and used a structural equation modeling. Survey findings show that first, novelty has a positive influence on the state of flow in AR application after vividness; Interactivity does not any significant effect on the tourists' flow. Second, when tourists explore the flow in the AR tourguide app, it affects all realms of experience economy of education, entertainment, esthetics, and escapism. Third, when using AR tour guide app in the context of historical heritage site, the two dimensions of entertainment and education influence the usage intention but the other two of esthetics and escapism does not. This study has presented a theoretical contribution that it focuses on historical sites as one type of tourist attractions and suggests a new modeling integrating AR attributes, flow, experience, and usage intention. In addition, it can be used to become a practical reference for revising an user-oriented AR application and customer-tailored AR tourism.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.5
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• pp.354-361
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• 2023

Big data analysis systems apply NoSQL databases like MongoDB to store, process, and analyze diverse forms of large-scale data. MongoDB offers scalability and fast data processing speeds through distributed processing and data replication, depending on its configuration. This paper investigates the suitable MongoDB environment configurations for implementing big data analysis systems. For performance evaluation, we configured both single-node and multi-node environments. In the multi-node setup, we expanded the number of data nodes from two to three and measured the performance in each environment. According to the analysis, the processing speeds for complex data structures with three or more dimensions are approximately 5.75% faster in the single-node environment compared to an environment with two data nodes. However, a setting with three data nodes processes data about 25.15% faster than the single-node environment. On the other hand, for simple one-dimensional data structures, the multi-node environment processes data approximately 28.63% faster than the single-node environment. Further research is needed to practically validate these findings with diverse data structures and large volumes of data.

• Korean Journal of Radiology
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• v.22 no.8
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• pp.1323-1331
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• 2021

Objective: To identify the association between renal tumor complexity and pathologic renal sinus invasion (RSI) and evaluate the usefulness of computed tomography tumor features for predicting RSI in patients with renal cell carcinoma (RCC). Materials and Methods: This retrospective study included 276 consecutive patients who underwent radical nephrectomy for RCC with a size of ≤ 7 cm between January 2014 and October 2017. Tumor complexity and anatomical renal sinus involvement were evaluated using two standardized scoring systems: the radius (R), exophytic or endophytic (E), nearness to collecting system or sinus (N), anterior or posterior (A), and location relative to polar lines (RENAL) nephrometry and preoperative aspects and dimensions used for anatomical classification (PADUA) system. CT-based tumor features, including shape, enhancement pattern, margin at the interface of the renal sinus (smooth vs. non-smooth), and finger-like projection of the mass, were also assessed by two independent radiologists. Univariable and multivariable logistic regression analyses were performed to identify significant predictors of RSI. The positive predictive value, negative predictive value (NPV), accuracy of anatomical renal sinus involvement, and tumor features were evaluated. Results: Eighty-one of 276 patients (29.3%) demonstrated RSI. Among highly complex tumors (RENAL or PADUA score ≥ 10), the frequencies of RSI were 42.4% (39/92) and 38.0% (71/187) using RENAL and PADUA scores, respectively. Multivariable analysis showed that a non-smooth margin and the presence of a finger-like projection were significant predictors of RSI. Anatomical renal sinus involvement showed high NPVs (91.7% and 95.2%) but low accuracy (40.2% and 43.1%) for RSI, whereas the presence of a non-smooth margin or finger-like projection demonstrated comparably high NPVs (90.0% and 91.3% for both readers) and improved accuracy (67.0% and 73.9%, respectively). Conclusion: A non-smooth margin or the presence of a finger-like projection can be used as a preoperative CT-based tumor feature for predicting RSI in patients with RCC.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.37 no.4
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• pp.394-399
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• 2024

An irradiator is developed using two UVA wavelength ranges of SMD LEDs as a curing light source. This module has dimensions of 545×111×300 mm³ and is equipped with a TIR bar-shaped lens made of PDMS silicone resin. The developed irradiator offers high uniformity, with 89% in the centerline of the horizontal axis direction, for two different wavelength ranges of 365 nm and 385 nm. The radiation intensity from the light source module shows highly directional characteristics, and the irradiator provides a maximum irradiance of 1,634 mW/cm² at a working distance of 50 mm. During the initial 5 minutes of operation, the irradiance experiences a rapid decrease. However, this issue is addressed by optimizing the LED's current reduction characteristics and managing the Transistor's temperature rise in the constant current circuit. After continuous operation for approximately 60 minutes. The highest temperature, near the central part of the irradiating surface, reaches 69.7℃, while the lowest temperature, near the edges, is 41.1℃.

• Korean Journal of Community Nutrition
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• v.29 no.2
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• pp.129-143
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• 2024

Objectives: The objective of this study is to compare a nutritionally balanced soft blend diet (SBD) with a soft fluid diet (SFD) on the health of inpatients who have undergone oral and maxillofacial (OMF) surgery, ultimately aiming to enhance care outcomes, improve health-related quality of life (QOL), and increase satisfaction with the hospital. Methods: Thirty-two patients were randomized into two groups: sixteen received SFD and sixteen received SBD. Anthropometric, laboratory evaluations were conducted upon admission and discharge. Patients filled out questionnaires on demographics, diet satisfaction, food intake amount, and health-related QOL on the day of discharge, assessed using the EuroQoL 5 Dimensions 3 Level and EuroQoL Visual Analogue Scale (EQ-VAS) instruments. Data were analyzed with descriptive statistics, χ² tests for group differences, and paired nonparametric t-tests for within-group comparisons. The Mann-Whitney U test evaluated inter-group differences in preoperative weight and body mass index (BMI), postoperative changes, meal satisfaction, intake, health-related QOL, and self-assessed health status. P-values were set at a significance level of 0.05. Results: The SBD group had higher dietary intake (63.2% vs. 51.0%) and greater diet satisfaction (80.6 vs. 48.1, P < 0.0001) compared to SFD group. Health-related QOL, measured by EQ-VAS, was better in SBD group (70.3 vs. 58.8, P < 0.05). Postoperative weight and BMI decreased in SFD group but increased in SBD group (P < 0.01). Changes in laboratory results showed more stability in the SBD group. No postoperative infections were reported in SBD group, whereas SFD group had a 31.25% complication rate. Conclusions: While SFD is often recommended after OMF surgery to protect oral wound healing process, our study reveals that SBD not only enhances physical and psychological outcomes but also, somewhat unexpectedly, supports wound healing and reduces complications. Essentially, SBD promotes physical recovery and enhances health-related QOL than SFD by supporting both somatic and mental healing aspects.

• Journal of Intelligence and Information Systems
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• v.22 no.3
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• pp.45-69
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• 2016

Recently, sentiment analysis using open Internet data is actively performed for various purposes. As online Internet communication channels become popular, companies try to capture public sentiment of them from online open information sources. This research is conducted for the purpose of analyzing pulbic sentiment of Korean Top-10 companies using a multi-categorical sentiment lexicon. Whereas existing researches related to public sentiment measurement based on big data approach classify sentiment into dimensions, this research classifies public sentiment into multiple categories. Dimensional sentiment structure has been commonly applied in sentiment analysis of various applications, because it is academically proven, and has a clear advantage of capturing degree of sentiment and interrelation of each dimension. However, the dimensional structure is not effective when measuring public sentiment because human sentiment is too complex to be divided into few dimensions. In addition, special training is needed for ordinary people to express their feeling into dimensional structure. People do not divide their sentiment into dimensions, nor do they need psychological training when they feel. People would not express their feeling in the way of dimensional structure like positive/negative or active/passive; rather they express theirs in the way of categorical sentiment like sadness, rage, happiness and so on. That is, categorial approach of sentiment analysis is more natural than dimensional approach. Accordingly, this research suggests multi-categorical sentiment structure as an alternative way to measure social sentiment from the point of the public. Multi-categorical sentiment structure classifies sentiments following the way that ordinary people do although there are possibility to contain some subjectiveness. In this research, nine categories: 'Sadness', 'Anger', 'Happiness', 'Disgust', 'Surprise', 'Fear', 'Interest', 'Boredom' and 'Pain' are used as multi-categorical sentiment structure. To capture public sentiment of Korean Top-10 companies, Internet news data of the companies are collected over the past 25 months from a representative Korean portal site. Based on the sentiment words extracted from previous researches, we have created a sentiment lexicon, and analyzed the frequency of the words coming up within the news data. The frequency of each sentiment category was calculated as a ratio out of the total sentiment words to make ranks of distributions. Sentiment comparison among top-4 companies, which are 'Samsung', 'Hyundai', 'SK', and 'LG', were separately visualized. As a next step, the research tested hypothesis to prove the usefulness of the multi-categorical sentiment lexicon. It tested how effective categorial sentiment can be used as relative comparison index in cross sectional and time series analysis. To test the effectiveness of the sentiment lexicon as cross sectional comparison index, pair-wise t-test and Duncan test were conducted. Two pairs of companies, 'Samsung' and 'Hanjin', 'SK' and 'Hanjin' were chosen to compare whether each categorical sentiment is significantly different in pair-wise t-test. Since category 'Sadness' has the largest vocabularies, it is chosen to figure out whether the subgroups of the companies are significantly different in Duncan test. It is proved that five sentiment categories of Samsung and Hanjin and four sentiment categories of SK and Hanjin are different significantly. In category 'Sadness', it has been figured out that there were six subgroups that are significantly different. To test the effectiveness of the sentiment lexicon as time series comparison index, 'nut rage' incident of Hanjin is selected as an example case. Term frequency of sentiment words of the month when the incident happened and term frequency of the one month before the event are compared. Sentiment categories was redivided into positive/negative sentiment, and it is tried to figure out whether the event actually has some negative impact on public sentiment of the company. The difference in each category was visualized, moreover the variation of word list of sentiment 'Rage' was shown to be more concrete. As a result, there was huge before-and-after difference of sentiment that ordinary people feel to the company. Both hypotheses have turned out to be statistically significant, and therefore sentiment analysis in business area using multi-categorical sentiment lexicons has persuasive power. This research implies that categorical sentiment analysis can be used as an alternative method to supplement dimensional sentiment analysis when figuring out public sentiment in business environment.