• Journal of international Conference on Electrical Machines and Systems
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• v.1 no.4
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• pp.440-447
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• 2012

This paper provides essential information on research completed with the aim to develop a 'dc motor test and analysis platform' which can be used to provide dc motor characteristics, calculate losses and efficiency, and also work as a dc motor speed controller. A user can test a given dc motor for these analyses by practicing different conventional methods, but, the concept discussed in this paper, reveals how intelligent integration of all these analyses can be done with a single user friendly automated setup. Integration has been accomplished by a technique that can accommodate all types of dc motors with different ratings at various loading conditions. However, experimentally measured results of a 0.5HP separately excited dc motor using the discussed scheme are presented in the paper. Also, a comparison of the methodology of this system with conventional techniques has also been elaborated on to show the effectiveness of the system.

• Asia pacific journal of information systems
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• v.15 no.4
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• pp.89-107
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• 2005

As new information technology(IT) adoption continues to produce many investment opportunities, imperfectly informed IT managers keep trying to acquire credible external signals to update their knowledge on new technologies. Such learning processes usually help them to reach better IT adoption decisions. In some cases, however, the opposite of the goal is achieved. Most IT managers quickly converge to the same adoption decision independent of their private information. Interestingly, such information cascade is the outcome of each individual decision maker's rational choice. A technology acceptance model(TAM) is adopted that has been widely used to predict the end-user's acceptance of a new technology. A model with individual charact-eristics and information cascade variables is constructed to explain user's intention in adopting blogging. The model is empirically tested with surveyed data. The results show that individual characteristics and information cascades have significant impacts in the case of blogging.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2003.05a
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• pp.29-34
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• 2003

The purpose of this study was identifying the user needs for the planning of public space in apartment dwelling units. 298 apartment residents in Haeundae, Pusan responded to the structural questionnaire, which included the residents' satisfaction for the location and size of the living room, the kitchen and the dining room, the space usage of the living room and the dining room, and preferred layout of the public space. The main findings are as follows. 1) The important household characteristics to consider are identified as family life cycle and the number of family members. 2) The levels of residents' satisfaction were differed by the household characteristics and the types of apartment. 3) Activities related to recreation, entertainment, and family meals in living room and formal and informal entertainments in the dining room were occurred in different way as to the household characteristics and the types of apartment. 4) The younger families in the smaller sized apartments had more diverse preference to the layout of the public space.

• Journal of the Ergonomics Society of Korea
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• v.29 no.3
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• pp.287-296
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• 2010

The purpose of this research is to analyze priority of the elderly user interface (UI) evaluation criteria based on user's lifestyle. Since the elderly population will occupy over 20% of the all Korean population in the near future, we need to know older users' needs and information because elderly users will be main customers in the super-aged society. This paper investigated the definition of elderly users and characteristics demographically, socio-economically, and physically/cognitively. A total of 238 questionnaires from older users were analyzed based on a segmentation table for the elderly developed by the previous study. According to factor analysis and cluster analysis, 6 types of lifestyle and 4 groups of the elderly users were classified, respectively. The priority of UI evaluation criteria for large electronic home appliances and mobile products was analyzed by analyses of variance (ANOVAs). The results indicated that the priority of (physical, emotional, and cognitive) UI criteria was significantly different among elderly users' lifestyles for both home appliances and mobile products. Consequently, the results of this study may help the company develop some competitive silver products and give higher satisfaction to the elderly users by suggesting different priority of UI evaluation criteria according to the target elderly group. The results may also contribute to revitalize national economy by significantly increasing senior market shares.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.12
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• pp.4987-5014
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• 2015

The bilinear pairing, also known as Weil pairing or Tate pairing, is widely used in cryptography and its properties help to construct cryptographic schemes for different applications in which the security of the transmitted data is a major concern. In remote login authentication schemes, there are two major requirements: i) proving the identity of a user and the server for legitimacy without exposing their private keys and ii) freedom for a user to choose and change his password (private key) efficiently. Most of the existing methods based on the bilinear property have some security breaches due to the lack of features and the design issues. In this paper, we develop a new scheme using the bilinear property of an elliptic point and the biometric characteristics. Our method provides many features along with three major goals. a) Checking the correctness of the password before sending the authentication message, which prevents the wastage of communication cost; b) Efficient password change phase in which the user is asked to give a new password after checking the correctness of the current password without involving the server; c) User anonymity - enforcing the suitability of our scheme for applications in which a user does not want to disclose his identity. We use BAN logic to ensure the mutual authentication and session key agreement properties. The paper provides informal security analysis to illustrate that our scheme resists all the security attacks. Furthermore, we use the AVISPA tool for formal security verification of our scheme.

• Asian Journal of Business Environment
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• v.7 no.2
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• pp.21-29
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• 2017

Purpose - Because of the development of smartphone and communication technology, Smart TV programs are filled with various contents and applications. This study included additional individual variables like innovativeness and self-efficacy, and characteristics of smart TV are both user-interface and function as exogenous factors based on TAM model. So, this study focuses on identifying the influencing factors of continuous use intention of smart TV traits and user ones and analyzing how they make influences on them in China market. Research design, data, and methodology - Totally 182 samples were adopted as appropriate ones for analysis in this study. They were collected from 20 February 2016 to 10 March 2016. Results - The results are as follows. First, function has positive influence on perceived usefulness. Second, innovation and user-interface make affirmative influences on perceived easiness. Third, perceived easiness has affirmative influence on perceived usefulness. Fourth, the perceived easiness and perceived usefulness make positive ones on continuous use intention. Fifth, perceived ease of use affects significantly on perceived usefulness. Conclusions - According to the findings, they (smart TV traits and user traits), influencing on continuous use intention, are possible to give significant implications on persistent development in China smart TV market.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.6
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• pp.3055-3073
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• 2019

In this paper, a new user identification method is presented using real environmental human-computer-interaction (HCI) behavior data to improve method usability. User behavior data in this paper are collected continuously without setting experimental scenes such as text length, action number, etc. To illustrate the characteristics of real environmental HCI data, probability density distribution and performance of keyboard and mouse data are analyzed through the random sampling method and Support Vector Machine(SVM) algorithm. Based on the analysis of HCI behavior data in a real environment, the Multiple Kernel Learning (MKL) method is first used for user HCI behavior identification due to the heterogeneity of keyboard and mouse data. All possible kernel methods are compared to determine the MKL algorithm's parameters to ensure the robustness of the algorithm. Data analysis results show that keyboard data have a narrower range of probability density distribution than mouse data. Keyboard data have better performance with a 1-min time window, while that of mouse data is achieved with a 10-min time window. Finally, experiments using the MKL algorithm with three global polynomial kernels and ten local Gaussian kernels achieve a user identification accuracy of 83.03% in a real environmental HCI dataset, which demonstrates that the proposed method achieves an encouraging performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.11
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• pp.4372-4394
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• 2020

The distribution of popular videos incurs a large amount of traffic at the base stations (BS) of networks. Device-to-multi-device (D2MD) communication has emerged an efficient radio access technology for offloading BS traffic in recent years. However, traditional studies have focused on synchronous user requests whereas asynchronous user requests are more common. Hence, offloading BS traffic in case of asynchronous user requests while considering their time-varying characteristics and the quality of experience (QoE) of video request users (VRUs) is a pressing problem. This paper uses social stability (SS) and video loading duration (VLD)-tolerant property to group VRUs and seed users (SUs) to offload BS traffic. We define the average amount of data transmission (AADT) to measure the network's capacity for offloading BS traffic. Based on this, we formulate a time-varying bipartite graph matching optimization problem. We decouple the problem into two subproblems which can be solved separately in terms of time and space. Then, we propose the socially aware D2MD user selection (SA-D2MD-S) algorithm based on finite horizon optimal stopping theory, and propose the SA-D2MD user matching (SA-D2MD-M) algorithm to solve the two subproblems. The results of simulations show that our algorithms outperform prevalent algorithms.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.80-85
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• 2024

The concept of single-modal digital art originated in the 20th century and has evolved through three key stages. Over time, digital art has transformed into multi-modal interaction, representing a new era in art forms. Based on multi-modal theory, this paper aims to explore the characteristics of interactive digital art in innovative art forms and its impact on user experience. Through an analysis of practical application of multi-modal interactive digital art, this study summarises the impact of creative models of digital art on the physical and mental aspects of user experience. In creating audio-visual-based art, multi-modal digital art should seamlessly incorporate sensory elements and leverage computer image processing technology. Focusing on user perception, emotional expression, and cultural communication, it strives to establish an immersive environment with user experience at its core. Future research, particularly with emerging technologies like Artificial Intelligence(AR) and Virtual Reality(VR), should not merely prioritize technology but aim for meaningful interaction. Through multi-modal interaction, digital art is poised to continually innovate, offering new possibilities and expanding the realm of interactive digital art.

• Journal of the Korea Society of Computer and Information
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• v.29 no.5
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• pp.177-187
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• 2024

177-Existing music recommendation systems do not sufficiently consider the discrepancy between the intended emotions conveyed by song lyrics and the actual emotions felt by users. In this study, we generate topic vectors for lyrics and user comments using the LDA model, and construct a user preference model by combining user behavior trajectories reflecting time decay effects and playback frequency, along with statistical characteristics. Empirical analysis shows that our proposed model recommends music with higher accuracy compared to existing models that rely solely on lyrics. This research presents a novel methodology for improving personalized music recommendation systems by integrating emotion recognition and user behavior analysis.