• IEMEK Journal of Embedded Systems and Applications
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• v.2 no.2
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• pp.95-100
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• 2007

Recently ubiquitous application services are developed plentifully using RFID techniques in the field of distribution and security industries. However, except these field the applications using RFID are not mature yet. In this study, we proposed a real-time context service model of the u-conference based on the real-time contextual information acquired from conference and exposition. With collection of real-time contextual information for u-conference, the model can provide a lot of information services on the state of session attendee, doorway control, affairs, user certification, presentation progress etc. For the verification of proposed real-time context service model of u-conference, we design and implement the conference progress state service included the state of session attendee, user certification and presentation progress etc. This service provides the presentation state information included the current presenter, the paper list, the number of session attendee, the schedule and place of each session using the collecting RFID tag and the related information.

• The Journal of Information Systems
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• v.16 no.4
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• pp.51-73
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• 2007

Ubiquitous computing is enhancing computer use by making many computers available throughout the physical environment, but making them effectively invisible to the user. To facilitate the successful adoption and diffusion of ubiquitous computing, it is necessary to figure out the factors affecting the use of U-service. Though the research related to ubiquitous computing has been vigorously conducted from the aspect of system and service provider, there have been very few studies that focus on the user's perspective. Therefore, this study attempts to figure out major factors which are dedicated to the development of ubiquitous computing and u-service, and that ultimately influence the u-business outcome. This study derived the factors that characterize u-service, such as ubiquity, contextual offer, reliability, invisibility, and confidentiality, which are then combined in the TAM model and carry out the path analysis. The research findings indicate that ubiquity affects both the perceived usefulness and perceived ease of use. The reliability and confidentiality were found to affect the perceived usefulness, whereas the contextual offer and invisibility turned out to influence the perceived ease of use. Finally, the relationship among the perceived usefulness, perceived ease of use, and the attitude toward using are identical with the previous research findings related to the technology acceptance model(TAM).

• Asia pacific journal of information systems
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• v.26 no.4
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• pp.489-508
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• 2016

Growth in the use of mobile commerce services (MCS) as an enabler to conduct business more effectively has been phenomenal. Technology acceptance model (TAM) has been applied in different contexts to examine a wide range of information technology. As more and more companies are finding ways to utilize MCS, an important issue is to understand what factors will affect the decisions of consumers in adopting the services. Based on TAM with two additional groups of external factors (i.e., service-related factors [ubiquitous access and contextual service] and technology-related factors [perceived security risk and network connectivity]) that are theoretically justified to affect both perceived usefulness and perceived ease of use, which are also considered, a research model for the investigated technology acceptance was developed and empirically examined. The major results of this study are as follows. First, ubiquitous access affects perceived usefulness and perceived ease of use. Contextual service affects perceived usefulness. Second, perceived security risk affects perceived usefulness and perceived ease of use. Finally, network connectivity affects perceived usefulness and perceived ease of use.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.15-28
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• 2015

As personal devices and pervasive technologies for interacting with networked objects continue to proliferate, there is an unprecedented world of scattered pieces of contextualized information available. However, the explosive growth and variety of information ironically lead users and service providers to make poor decision. In this situation, recommender systems may be a valuable alternative for dealing with these information overload. But they failed to utilize various types of contextual information. In this study, we suggest a methodology for context-aware recommender systems based on the concept of contextual boundary. First, as we suggest contextual boundary-based profiling which reflects contextual data with proper interpretation and structure, we attempt to solve complexity problem in context-aware recommender systems. Second, in neighbor formation with contextual information, our methodology can be expected to solve sparsity and cold-start problem in traditional recommender systems. Finally, we suggest a methodology about context support score-based recommendation generation. Consequently, our methodology can be first step for expanding application of researches on recommender systems. Moreover, as we suggest a flexible model with consideration of new technological development, it will show high performance regardless of their domains. Therefore, we expect that marketers or service providers can easily adopt according to their technical support.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.125-151
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• 2016

In recent years, O2O (Online to Offline) services get a lot of attention to improve the trust in online shopping and minimize the inconvenience and the cost burden in offline shopping as the number of consumers, who do not show concern about the purchase platform like online or offline, increases. Even though the services have been getting the spotlight as a strong business platform for next generation commerce, there have been only a few studies on the O2O services. The purpose of this research is to investigate the factors which affect the consumer's intention to use location-based O2O services. The study is based on VAM (Value-based Adoption Model) which is able to analyze those factors from the aspects of benefit and sacrifice. We used the partial least squares (PLS) method for empirical analysis, and the result shows that contextual offers, instant connectivity, webrooming and economic efficiency, which fall under the benefit, affect perceived value positively while annoyance and face consciousness, which fall under the sacrifice, do not affect perceived value significantly. In addition, contextual offers and instant connectivity affect trust positively. Location accuracy, which falls under the benefit of location-based O2O service, do not significantly affect perceived value and trust while security risk affects trust and use intention negatively. It appears that trust affects perceived value and use intention positively.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.337-340
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• 2005

Context-awareness techniques in ubiquitous computing environment provide various services to users who need to get information via the analysis of collected information from sensors in a spatial area. Context-awareness has been increased in ubiquitous computing and is applied to many different applications such as disaster management system, intelligent robot system, transportation management system, shopping management system, and digital home service. Many researches have recently focused on services that provide the appropriate information, which are collected from Internet by different kinds of sensors, to users according to context of their surrounding environment. In this paper, we propose an abstraction model to manage the large-scale contextual information and their metadata which are collected from different kinds of in-situ sensors in a spatial area and are presented them on the web. This model is composed of the modules expressing functional elements of sensors using sensorML(Sensor Model Language) based on XML language and the modules managing contextual information, which is transmitted from the sensors.

• Korea Journal of Hospital Management
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• v.17 no.4
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• pp.133-166
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• 2012

Hospitals tend to provide uniformed service to patients despite their various demands stemming from the severity of disease stages or the uncertainties in information of treatment stages. To identify service factors and provide effective contextually aware service models that patients demand depending on their evolving circumstances, the study conducted a survey on service quality based on importance and satisfaction of cancer patients. The study surveyed 286 patients and caregivers on importance and satisfaction through a questionnaire comprising of 17 questions at the outpatient clinic of cancer centers of university hospitals in 5 cities. Based on the risks of the disease and uncertainties in information of treatment stages, the cancer patients were grouped into diagnosis stage; low-risk treatment stage; high-risk treatment stage; stabilization stage. Depending on the patient's situation, the importance and satisfaction of service factors were ranked. These factors were categorized into 4 groups from a managerial perspective into 'keep it up area', 'focus here area', 'low priority area', 'overdone area'. This study provides an effective medical service model that can accommodate patients based on management areas of cancer patients.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.43-50
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• 2011

The scope of the problems that could be solved by monitoring and the improvement of the recognition time is directly correlated to the performance of the management function of the business process. However, the current event-managing monitoring system and the real-time advanced alarming business monitoring system decided whether to apply warnings or not by assuming a fixed environment and showing expressions based on the design rules. Therefore, there is a limit for distinguishing the range of occurrence and the level of severity in regard to the new external problems occurring in a complicated environment. Such problems cannot be abstracted. In this paper, evaluation model of business process contextual situations using goal scenario is suggested to provide constant services through the current monitoring process in regard to the service demands of the new scenario which occurs outside. The new demands based on the outside situation are analyzed according to the target scenario for the process activities. Also, a similar process model is found and identified by combining similarity and interrelationship. The process can be stopped in advance or adjusted to the wanted direction.

• Journal of the Korea Society of Computer and Information
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• v.28 no.9
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• pp.35-46
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• 2023

In this study, we propose a Dual Approach methodology to enhance the accuracy of document classifiers by utilizing both contextual and keyword information. Firstly, contextual information is extracted using Google's BERT, a pre-trained language model known for its outstanding performance in various natural language understanding tasks. Specifically, we employ KoBERT, a pre-trained model on the Korean corpus, to extract contextual information in the form of the CLS token. Secondly, keyword information is generated for each document by encoding the set of keywords into a single vector using an Autoencoder. We applied the proposed approach to 40,130 documents related to healthcare and medicine from the National R&D Projects database of the National Science and Technology Information Service (NTIS). The experimental results demonstrate that the proposed methodology outperforms existing methods that rely solely on document or word information in terms of accuracy for document classification.

• The Journal of Information Systems
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• v.17 no.3
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• pp.175-204
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• 2008

Ubiquitous computing is enhancing computer use by making many computers available throughout the physical environment without being noticed to the users. To facilitate successful adoption and diffusion of ubiquitous systems, it is important to find out the factors affecting their uses. Although researches related to ubiquitous computing have been vigorously conducted from the aspect of system and service provider, there have been very few studies that focus on the user's perspective. This study attempts to find out major factors which are dedicated to the development of ubiquitous systems and services and the relationships between these factors and user satisfaction factors. This study derived the specific factors that characterize ubiquitous services, such as ubiquity, contextual offer, user affinity, privacy, reliability, responsiveness, assurance, and empathy. We also considered service quality factors of ubiquitous services. Then these factors were combined with the Expectation Confirmation Theory (ECT) model and the path analysis was applied to find out the factors affecting user satisfaction and the intention to use the systems. The research findings indicate that ubiquity, contextual offer, privacy, reliability, and responsiveness affect the perceived usefulness. The perceived ease of use and confirmation were found to affect the perceived usefulness. The perceived usefulness, perceived ease of use, and confirmation fumed out to influence the satisfaction. It turned out that the result of this study on the relationship between the perceived usefulness and user satisfaction was identical with the findings in previous related ECT researches. We think this study makes two significant contributions to the development of ubiquitous services. First, this study provides basic implications for better ubiquitous services by considering important characteristics of ubiquitous systems as services. Second, this study also suggests important factors that need to be considered when ubiquitous service providers develop new ubiquitous services to improve user satisfaction and the intention to use the services.