• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.4
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• pp.603-610
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• 2021

In this paper, we extract the user's power consumption patterns, and model the optimal consumption patterns by applying the user's environment and emotion. Based on the comparative analysis of these two patterns, we present an efficient power consumption method through changes in the user's power consumption behavior. To extract significant consumption patterns, vector standardization and binary data transformation methods are used, and learning about the ensemble's ensemble with k-means clustering is applied, and applying the support factor according to the value of k. The optimal power consumption pattern model is generated by applying forced and emotion-based control based on the learning results for ensemble aggregates with relatively low average consumption. Through experiments, we validate that it can be applied to a variety of windows through the number or size adjustment of clusters to enable forced and emotion-based control according to the user's intentions by identifying the correlation between the number of clusters and the consistency ratios.

• KIPS Transactions on Computer and Communication Systems
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• v.13 no.1
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• pp.10-20
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• 2024

As the online commerce market continues to expand with an increase of diverse products and content, users find it challenging in navigating and in the selection process. Thereafter both platforms and shopping malls are actively working in conducting continuous research on recommendations system to select and present products that align with user preferences. Most existing recommendation studies have relied on user data which is relatively easy to obtain. However, these studies only use a single type of event and their reliance on time dependent data results in issues with reliability and complexity. To address these challenges, this paper proposes a recommendation system that analysis user preferences in consideration of the relationship between various types of event data. The proposed recommendation system analyzes the correlation of multiple events, extracts weights, learns the recommendation model, and provides recommendation services through it. Through extensive experiments the performance of our system was compared with the previously studied algorithms. The results confirmed an improvement in both complexity and performance.

• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.945-960
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• 2009

The purpose of this study is to define determinants of VoIP user acceptance and to verify significant causality among latent variables - performance expectancy, effort expectancy, cost expectancy, social influence, facilitating conditions, behavioral intend, use behavior - based on UTAUT model. We presented the expanded hypotheses including the new factor, cost expectancy and analyzed the moderating effect of user age, gender and usage experience variables. For a accuracy of predicted results, we focused on survey analysis with 641 real user samples. Compared to previous studies, it is meaningful that this research verified the conceptual difference between behavioral intention and usage behavior. As a result, all proposed hypotheses accepted and moderating effects are supported significantly in age and use experience moderating variables.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.96-97
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• 2021

In the Building Act, performance-based fire safety design is being promoted for institutionalization. The behavior of the structure against fire conditions can be predicted by using the advanced numerical analysis method based on the FEM (Finite Element Method) to predict the entire structural behavior including the behavior of the structure, but there is a limit to expressing the fire properties of the space and predicting the fire properties It is difficult to determine the variables to be transmitted to the FEM (Finite Element Method) model from the fire simulation results using FDS (Fire Dynamics Simulator). Accordingly, the purpose of this study is to introduce the code user's manual for FDS and FEM unidirectional coupling analysis.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.6-8
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• 2022

Web log analysis is one of the essential procedures for service improvement. ScienceON is a representative information service that provides various S&T literature and information, and we analyze its logs for continuous improvement. This study aims to analyze ScienceON web logs recorded in May 2020 and May 2021, dividing them into humans and web crawlers and performing an in-depth analysis. First, only web logs corresponding to S (search), V (detail view), and D (download) types are extracted and normalized to 658,407 and 8,727,042 records for each period. Second, using the Python 'user_agents' library, the logs are classified into humans and web crawlers, and third, the session size was set to 60 seconds, and each session is analyzed. We found that web crawlers, unlike humans, show relatively long for the average behavior pattern per session, and the behavior patterns are mainly for V patterns. As the future, the service will be improved to quickly detect and respond to web crawlers and respond to the behavioral patterns of human users.

• Journal of Distribution Science
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• v.18 no.6
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• pp.25-35
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• 2020

Purpose:Travel agencies have use digital tools in order to shift the paradigm in how business is conducted. Online travel agencies provide the same services as a normal travel agency, including hotels, transportation, guided tours, reservations, and related services, but using an "online platform. Travelers planning a trip can use a lot of forms to collect information and have access to a larger amount of information, so the factors that influence the user's behavioral intention are very important. This research has the conducted to find what factors lead to the attitudes of consumers in using OTA using the UTAUT model. Research design, data and methodology: The object of this study were respondents of a google survey using convenient sample extraction method, chosen among consumers who gathered information, or purchased a product. A total of 217 of the 235 questionnaires Google survey answered were used in the final analysis, excluding insincere responses. Using PSS v.21 and AMOS v.21, frequency analysis, feasibility and reliability analysis, path analysis was performed. Results: UTAUT affects OTA use satisfaction and trust, and OTA satisfaction and trust affect behavior intention. Conclusions: Research was conducted using the UTAUT model to explore factors that affect the attitudes of users of online travel agencies (OTA).

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.971-976
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• 2006

This paper presents a design technique of steel structures subjected to static and dynamic loadings using practical nonlinear inelastic analysis software. The beam-column approach using the stability functions and the plastic hinge concept enables the software to suitably predict second-order effects and inelastic behavior of beam-columns. For dynamic analysis. the incremental from of the equation of motion is solved by the use of a step-by-step numerical integration procedure in which the assumption of constant acceleration over a small time step is employed. The accuracy of the analysis program is validated using the results of ABAQUS program and experimental tests. A user-friendly graphic interface of the software is developed to facilitate the modeling process and result interpretation of the problem. A design example of large span bridge is presented to detail the direct design process using the practical advanced analysis software.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.8
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• pp.2346-2365
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• 2024

This research identifies specific user experience factors that have positive impact on user's behavior intention to use so that a new technology called stretchable display(SD) can be accepted and spread in the market. To show how these factors can be applied to SD home appliances, a few concrete designs have been suggested. In the first stage of the research, the initial concept of innovative product design with stretchable display was derived by developing a scenario that solves the expected experience by home product users through the attributes of the SD technology. In the second stage, a scenario of the product to which a stretchable display was applied was suggested to investigate the expected experience factors that influence the behavior intention to use. As a result of the analysis, users showed a positive intention to use for the factors of Functionality of Space and Life Support, Presentation of Preferences, and Customization of Emotions, provided by the product with SD technology applied. In the next stage, based on the verified user experience factors, multifunctional kitchen appliances design, smart furniture design with flexible surfaces, and smart interior wall tile design have been derived. After all, the differentiated transformable interface designs shown through this process have been suggested as three-dimensional soft-physical button design and attachable design for multi-curved soft furniture. This study is significant as it emphasizes a user-centered design process over a technology-centered approach, enhancing market acceptability and focusing on design features aligned with the user's expected experience.

• The Journal of the Korea Contents Association
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• v.22 no.3
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• pp.94-104
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• 2022

As the audio content market grows due to the spread of the AI speaker market and the influence of connected cars, the demand for podcast service is increasing. Therefore, in this study, the behaviors of podcast users were identified and the user types were classified. In the background study, podcast usage motives and user types were studied, and they were referred to when making the questionnaire. In the survey, preferred audio content was identified according to the situation, and in the in-depth interview, the user type and insights were derived by identifying the audio service usage behavior. As a result of the survey, there was little difference between preferred content for single listening and multitasking, but the difference in preferred content according to time period was statistically significant. The three user types derived from the in-depth interview were divided into users who listen alone for the purpose of study, find and listen to useful information quickly while on the go, and multitask and listen to the light and comfortable contents. It is expected that the results of this study will be an important reference for designing an audio content platform to improve user experience.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.2
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• pp.83-92
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• 2011

The computer program for analysis of mechanical vibration has been developed using visual C++. This program is organized in a format similar to most standard texts on the mechanical vibration. This program consists of a number of menus to perform various calculations as well as a set of dedicated graphical user interfaces. Solutions to problems are given in both graphical and numerical forms. Numerical examples show the effectiveness and applicability of the program. This program can be utilized to analyze the vibration behavior of mechanical systems.