• Journal of Korea Game Society
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• v.20 no.4
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• pp.67-76
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• 2020

This study analyzes the lobby UI of the baseball manager game based on the mobile platform and proposes an optimized lobby UI. The UI layout-based detailed icons and button interactions in the four game lobbies are compared and analyzed by comparing and analyzing the common points and differences to finally calculate the optimized UI composition. Furthermore, based on the analysis, we intend to propose a lobby UI optimized for user-centered design.

• Smart Media Journal
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• v.11 no.10
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• pp.22-29
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• 2022

Voice interactions are particularly effective in applications targeting the digital underprivileged who are not proficient in the use of smart devices. However, applications based on open APIs are using voice signals only for short, fragmentary input and output due to the limitations of existing touchscreen-oriented UI and API provided. In this paper, we design a conversational voice interaction model for interactions between users and intelligent mobile/IoT applications and propose a keyword detection algorithm based on the edit distance. The proposed model and scheme were implemented in an Android environment, and the edit distance-based keyword detection algorithm showed a higher recognition rate than the existing algorithm for keywords that were incorrectly recognized through speech recognition.

• Proceedings of the ESK Conference
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• 1993.04a
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• pp.41-48
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• 1993

In order to provide design concept and guidelines for the user interface of MIDAS$^{TM}$(Medical Image Display and Archiving System), a questionnire survey and empirical study were conducted. User and task requirements were analyzed based upon usrvey results. The empirical study was done on the 1.0 version of MIDAS to find out the influence of user charactenistics (i.e.job, experiences, etc.) and UI design factors(i.e. layout, wording, procedures) on various usability measures(i.e. performance, satisfaction). To perform empinical tests, eight task scenarios were selected and user interactions were recorderded using an auto-logging software. The results show that the doctor group requires more learning time. Also, eight types of user errors such as commision, omission, repeat were identified and the causes of the errors were analyzed related to UI design factors. UI design guidelines were suggested for a new version of medical image filing system.m.

• Korean Chemical Engineering Research
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• v.56 no.6
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• pp.784-791
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• 2018

UiO-66 particles were synthesized under various synthesis conditions to study the adsorption of carbon dioxide for hydrogen purification. For the purpose, the design and analysis of experiments was performed using statistical design of experiment method. As the synthesis time, temperature and acetic acid amount increased, the crystallinity of UiO-66 particles increased. Especially, the amount of acetic acid was confirmed as an important factor in determining the crystallinity of the particles. The specific surface area of the particles measured by the nitrogen adsorption method also showed a similar tendency. Using the general factor analysis in the experimental design method, the main effects and interactions of major factors were analyzed. In addition, the carbon dioxide adsorption capacity was predicted using a nonlinear regression method. Then, the adsorption performance was shown through surface and contour maps for all ranges.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.75-87
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• 2021

The purpose of this study is to derive the characteristics of interaction design for each stage of content composition so that it can be referred to in the planning and production of virtual reality safety education contents. It was confirmed that each of the following interaction design features was found in the three configuration steps: acquisition of situation response procedure knowledge, accident situation experiential learning, and content confirmation and evaluation. First, it was revealed that the quality of experience was controlled by increasing the fidelity of behaviors and reducing general and repetitive behaviors in order to emphasize the educational content-related experiences in the learner experience stage. Second, in order for learners to easily recognize main interaction objects in order to acquire information on safe behavior procedures in unfamiliar environments, use of spatial UI or signifiers using arrows or symbols, posts that specifically instruct actions, and multisensory signals Therefore, it was found to be important to emphasize essential actions in a way that lowers the degree of freedom of user experience, and the proportion of non-realistic interactions for cognitive interactions was found to increase. Lastly, in the confirmation and evaluation stage of the experience, it is important to use the meta UI to alleviate negative experiences such as physical damage after experiencing a safety accident situation,

• Journal of Korea Entertainment Industry Association
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• v.15 no.4
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• pp.15-29
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• 2021

Many countries and companies are pursuing and developing Artificial intelligence as it is the core technology of the 4th industrial revolution. Global IT companies such as Apple, Microsoft, Amazon, Google and Samsung have all released their own AI assistant hardware products, hoping to increase customer loyalty and capture market share. Competition within the industry for AI agent is intense. AI assistant products that command the biggest market shares and customer loyalty have a higher chance of becoming the industry standard. This study analyzed the current status of major overseas and domestic IT companies in the field of artificial intelligence, and suggested future strategic directions for voice UI technology development and user satisfaction. In terms of B2B technology, it is recommended that IT companies use cloud computing to store big data, innovative artificial intelligence technologies and natural language technologies. Offering voice recognition technologies on the cloud enables smaller companies to take advantage of such technologies at considerably less expense. Companies also consider using GPT-3(Generative Pre-trained Transformer 3) an open source artificial intelligence language processing software that can generate very natural human-like interactions and high levels of user satisfaction. There is a need to increase usefulness and usability to enhance user satisfaction. This study has practical and theoretical implications for industry and academia.

• Journal of Ginseng Research
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• v.43 no.4
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• pp.550-561
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• 2019

Background: Gastric ulcer (GU) is a common gastrointestinal disease that can be induced by many factors. Finding an effective treatment method that contains fewer side effects is important. 20 (S)-ginsenoside Rg3 is a kind of protopanaxadiol and has shown superior antiinflammatory and antioxidant effects in many studies, especially cancer studies. In this study, we examined the treatment efficacy of 20 (S)-ginsenoside Rg3 on GU. Methods: Three kinds of GU models, including an alcohol GU model, a pylorus-ligated GU model, and an acetic acid GU model, were used. Mouse endothelin-1 (ET-1) and nitric oxide (NO) levels in blood and epidermal growth factor (EGF), superoxide dismutase, and NO levels in gastric mucosa were evaluated. Hematoxylin and eosin staining of gastric mucosa and immunohistochemical staining of ET-1, inducible nitric oxide synthase (NOS2), and epidermal growth factor receptors were studied. Ulcer index (UI) scores and UI ratios were also analyzed to demonstrate the GU conditions in different groups. Furthermore, Glide XP from $Schr{\ddot{o}}dinger$ was used for molecular docking to clarify the interactions between 20 (S)-ginsenoside Rg3 and EGF and NOS2. Results: 20 (S)-ginsenoside Rg3 significantly decreased the UI scores and UI ratios in all the three GU models, and it demonstrated antiulcer effects by decreasing the ET-1 and NOS2 levels and increasing the NO, superoxide dismutase, EGF, and epidermal growth factor receptor levels. In addition, high-dose 20 (S)-ginsenoside Rg3 showed satisfactory gastric mucosa protection effects. Conclusion: 20 (S)-ginsenoside Rg3 can inhibit the formation of GU and may be a potential therapeutic agent for GU.

• Journal of the Korean Chemical Society
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• v.67 no.2
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• pp.81-88
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• 2023

The contribution of hydrophobic residues to the protein folding reaction was studied by using HubWA variant proteins with I and L to V mutation. Folding kinetics of all V variant proteins was observed to be satisfied by a three-state on-pathway mechanism, U ⇌ I ⇌ N, where U, I, and N represent unfolded, intermediate, and native state, respectively. Three-state folding reaction was quantitatively analyzed and the free energy of folding of each elementary reactions and overall folding reaction, ΔG^o_UI, ΔG^o_IN, and ΔG^o_UN, were obtained. From the ratio of free energy difference between the variant protein and HubWA, ΔΔG^o_UI/ΔΔG^o_UN (ΔΔG^o_UI = ΔG^o_UI (variant protein) - ΔG^o_UI (HubWA) and ΔΔG^o_UN = ΔG^o_UN (variant protein) - ΔG^o_UN(HubWA)), the contribution of hydrophobic residues to HubWA folding was analyzed. The residues which are located in the hydrophobic core between α-helix and β-sheet, I3, I13, L15, I30, L43, I61 and L67, showed ΔΔG^o_UI/ΔΔG^o_UN value of ~0.5 when each of these residues was mutated to V, indicating that these residues form relatively solid hydrophobic core in the intermediate state. Residues located at the end of secondary structures and loop, I23, L69 and I36 showed ΔΔG^o_UI/ΔΔG^o_UN value below 0.4 when each of these residues was mutated to V, indicating that the region containing these residues are loosely formed in the intermediate state. V17A, L50V and L56V showed fairly high ΔΔG^o_UI/ΔΔG^o_UN value of ~0.8. Since L50 and L56 are located in the region containing long loop (residue 46 to 62), it is suggested that the high ΔΔG^o_UI/ΔΔG^o_UN value of these residues prevents the formation of aggregate at the early stage of folding reaction.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.6
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• pp.402-406
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• 2007

Rich Internet Application(RIA) is one of the Web 2.0 technologies and is expected to be a next generation user interface technique which allows flexible and dynamic manipulation for Web searches. This paper addresses a personalization mechanism for advanced Web search using RIA for abundant user interactions. We devised a dynamic and graphical user interface instead of previous text-based searches and a client side application for storing personal preference information. In this research, we implemented the graphical personalized search manager using Yahoo web search API and widget, and demonstrated its effectiveness by performing some experiments with various query terms and representative predicates.

• Journal of the Ergonomics Society of Korea
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• v.23 no.4
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• pp.45-56
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• 2004

The purpose of this study is to evaluate perceived discomfort of working postures in terms of upper body (back, shoulder, and elbow) flexions when an external load varies. Eighteen subjects participated in an experiment of appraising perceived discomfort of varying upper body postures with three levels of external loads given. The ANOVA results showed that the perceived discomfort of upper body postures was significantly affected by the external load. It was also apparent that the interactions between external load and upper body posture were significant (p< 0.001). The result implies that a new posture classification scheme for workload assessment methods may be in need to reflect such interactions between external load and upper body posture. In order to support the statement, a regression model of perceived discomfort of upper body postures obtained from the experiment was developed and compared to that of perceived discomfort of seven work-related postures found in automobile assembly operations. The correlation coefficient between predicted and actual values of perceived discomfort was about 0.96. It is expected that the result help to properly estimate the body stress resluting from worker's postures and external loads and can be used as a valuable design guideline on preventing work-related musculoskeletal diseases in industry.