• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.4
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• pp.163-170
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• 2017

As the usage of smart phones continues to increase, the control UI, which users have to continue to use, sometimes finds a heavy burden on users. Therefore, in this study, we have studied the control user interface structure along with the theoretical background of the control user interface, and we have studied the role and usage of the control component based on it. Typical commonly used controls are button controls for transmission, selection controls for various selections, link controls for navigation, text controls for inputting characters, indicator controls for feedback on progress, A message control that displays information about warnings and errors, and a window control such as a dialog box. The structure of the control should be designed according to the use of the separated control to help the user efficiently use the control user interface. Based on the analysis of the theoretical usage of representative components belonging to the separated controls, we presented a new and correct way to use the control to improve the user experience. The use of improved control components will help to design the control structure efficiently and to improve the user experience.

• Journal of Digital Convergence
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• v.12 no.8
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• pp.197-209
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• 2014

This study analyzed information privacy concerns and personal innovation influences effects of perceived usefulness, ease-of-use and satisfaction for a smartphone-based shopping mall, using technology acceptance model. For empirical analysis, the structural equation modeling analysis method was used. The results are as follows. First, information privacy concern is the usefulness of smartphone-based shopping mall has significantly negative, but did not affect the ease of use. Second, personal innovation is the usefulness and ease of use smartphone-based shopping mall have significant positive effect. Third, ease of use smartphone-based shopping mall is usefulness and satisfaction have significant positive influence. Finally, the usefulness of use of the shopping mall based smartphone significant satisfaction in positively influencing.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.3
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• pp.46-57
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• 2006

The purpose of this study is to develop a GIS-based digital Forest Land-use(FLU) Map Building Process which will be adopted as the map publishment methodology for the official FLU Map notification in 2007. The process is composed of 6 steps, extracting forest lands from Continuous Land Map(CLM), extracting forest land borders restricted by other laws, extracting boundaries between semi- and reserve forest lands, making digital FLU map by integrating spatial and attribute data among the extractions, printing FLU map and FLU register, and re-correcting zoning errors. Through the process, in 1:25,000 and 1:5,000 scale, 14 and 173 sheets of the FLU Maps and it's register were created for the whole area of Hwaseong, Kyunggi.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.569-572
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• 2013

Using flow theory as our foundation, we empirically tested the impact of three personality traits on the level of flow state experience and three user-generated content (UGC) usage types. Findings indicate that extroversion is positively related to the use of UGCs for entertainment, and negatively related to the use of UGCs for communication and information; neuroticism is positively related to the use of UGCs for entertainment and communication; and psychoticism is negatively related to the use of UGCs for information. In addition, only extroversion has an influence on flow, which is positive, and flow has a positive influence on UGC usage for entertainment and communication. This study extends flow theory by exploring antecedents and outcomes of the flow state experience.

• Journal of Internet Computing and Services
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• v.15 no.2
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• pp.73-85
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• 2014

This study analyzed the profile of a Facebook account to examine how personal information is revealed and what kinds of factors influence personal information revelation. Categories of user's profile on Facebook were analyzed and two dimensions were developed; the degree that how much personal information is revealed and the network limits that personal information is accessed. Main variables to determine personal information revelation are Facebook privacy concern and uses for social relationships along with gender, the duration of Facebook use, and average time of use. Data were collected from college students. Factor analysis produced two factors of Facebook privacy concern, Facebook privacy concern with users and Facebook privacy concern with the Facebook system. Regression analyses were performed to identify significant determinants of the degree of information revelation and the network limits of personal information. The results found out that the degree of personal information revelation is explained by gender, the duration of use, and use for social relationships while the network limit is explained by the duration of use and Facebook privacy concern with users. Worthy of notice is that use for social relationships and Facebook privacy concern with the Facebook system offset each other. The implications of the results are discussed. Additionally and finally the categories of profiles are graphically re-grouped to show how personal information revelation is associated with social relationship generation and maintenance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1957-1980
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• 2021

The significant aim of this research has always been to evaluate the mechanism for efficient and inherently aware usage of vitality in-home devices, thus improving the information of smart metering systems with regard to the usage of selected homes and the time of use. Advances in information processing are commonly used to quantify gigantic building activity data steps to boost the activity efficiency of the building energy systems. Here, some smart data mining models are offered to measure, and predict the time series for energy in order to expose different ephemeral principles for using energy. Such considerations illustrate the use of machines in relation to time, such as day hour, time of day, week, month and year relationships within a family unit, which are key components in gathering and separating the effect of consumers behaviors in the use of energy and their pattern of energy prediction. It is necessary to determine the multiple relations through the usage of different appliances from simultaneous information flows. In comparison, specific relations among interval-based instances where multiple appliances use continue for certain duration are difficult to determine. In order to resolve these difficulties, an unsupervised energy time-series data clustering and a frequent pattern mining study as well as a deep learning technique for estimating energy use were presented. A broad test using true data sets that are rich in smart meter data were conducted. The exact results of the appliance designs that were recognized by the proposed model were filled out by Deep Convolutional Neural Networks (CNN) and Recurrent Neural Networks (LSTM and GRU) at each stage, with consolidated accuracy of 94.79%, 97.99%, 99.61%, for 25%, 50%, and 75%, respectively.

• The Journal of Information Technology and Database
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• v.6 no.2
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• pp.29-43
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• 1999

Object-oriented development methodologies require consistent and seamless object-oriented paradigm to be applied from analysis to testing. Testing must focuses on the state of aggregated objects. This paper suggests testing methods that satisfy such requirements. In order to confirm appropriate implementation of the user requirements, the methods apply extended use case[Jacobson et al., 1992] that are prepared form analysis stage. Testing must be performed based on the use cases because the user requirements are formally documented in the use cases. The notations of the original use case are modified for the state-based testings. The testing methods consist of a unit testing and four-level of integration testing. Particularly, the level 0 testing is based on FREE state machine [Binder, 1995, 1996]. The testing methods have been applied to 3 projects and proved their practicability.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.7 no.5
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• pp.1213-1235
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• 2013

In this paper, we investigated the factors affecting the intention to use smartphone banking with a research model based on the Technology Acceptance Model (TAM) extended to include security risk, trust, and self-efficacy. With analysis after controlling factors such as age, gender, and previous experience of smartphone banking that may have effects, we conclude that perceived usefulness, perceived ease of use, security risk, and trust have direct effect on the intention to use smartphone banking, and self-efficacy has indirect effect on the intention to use through mediation of perceived ease of use. We performed a study to check the validity of TAM in the context of smartphone banking, and confirmed that perceived ease of use has both direct and indirect effect on the intention to use.

• International Commerce and Information Review
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• v.9 no.2
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• pp.87-101
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• 2007

This study developed seven assumptions to demonstrate the effect of personal innovation, social influences, service quality, mobility and accessibility on perceived usability, perceived convenience use and use intention using a technology acceptance model developed by Davis(1989), and the results are presented as follows: First, the assumption that personal innovation and service quality of mobile banking service will influence the perceived usability was adopted while the assumption that social influences will affect the perceived usability was rejected. Second, the assumption that mobility and accessibility of mobile banking services will influence the perceived convenient use was selected. Third, the assumption that the perceived usability of mobile banking service will influence use intention was rejected while the assumption that the convenient use will influence use intention was adopted. This study suggests that as personal innovation, service quality, mobility and accessibility have a significant influence on use of mobile banking, service providers should pay more attention to development of security programs and diversification of contents.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.1043-1044
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• 2006

In a packet based wireless system, an adaptive modulation and coding (AMC) scheme is often employed with the use of channel quality information (CQI). However, the AMC can be operated improperly due to delayed CQI, causing performance degradation. In this paper, we consider the use of predicted CQI for the AMC considering the feedback delay and channel characteristics. We also consider the use of a hybrid automatic repeat request scheme with the proposed AMC for further improvement in high mobility environments.