• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.106-112
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• 2008

Personalization is user oriented dynamic method based on user preferences for easy access to what users want to view or get. It has become more important in mobile domain with rapid growth of wireless Internet and mobile phone market after success of web based market and therefore, it can be applied to service of spatial analysis result. In this paper, spatial analysis using user profile and notification service methods are proposed as one of personalized spatial data service methods for mobile users. A service system for spatial analysis with user profile is designed to prove possibility of spatial analysis based on user preferences and notification service is also designedto show generated output can be sent to user's mobile devices efficiently to make users informed of preferred information. Prototype system is implemented and it is applied to real estate data that has many selectable conditions by users. Information service based on user preferences can be applied to spatial data by using proposed system and it is efficient when cache module is used to shorten response time. Various user models for application domains and performance evaluation methods need to be developed in the future.

• Journal of Internet Computing and Services
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• v.15 no.5
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• pp.83-93
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• 2014

Providing personalized services customized to users' needs and preferences becomes highlighted as a key area of user-context computing. It is essential for context-aware technology to be developed more intelligent and meaningful services by being widely applied to a variety of sectors and domains. SDO (Standard Development Organization) such as MPEG and W3C has been actively developed to be standardized services and to improve context-awareness services. Yet current standards related to context-aware technology, such as MPEG-7, MPEG-21, MPEG-V, and emotionML, are not capable enough to support various systems and diverse services. Against this backdrop, the MPEG User Description, referred to also as MPEG-UD Standard, is to ensure interoperability among recommendation services, which take into account user's context when generating recommendations to users. In this light, we introduce standards related to the user context and propose the structure for RD-Engine and the Remote Responsive User Interface(RRUI) system in reference to MPEG-UD. This system collects unit resources matching specific condition according to the user's contexts described by MPEG-UD. In so doing, it improves adaptive user interface considering device features in real-time. By automatically generating adaptive user interfaces tailored to an individual's contexts, the proposed system aims to achieve high-quality user experience for a complex service.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.73-86
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• 2019

After the 4th industrial revolution, the healthcare industry is striving to find new business models through new technologies. Among them, blockchain technology is one of the technologies that have great interest in the healthcare industry. Most providers of personal health record systems have difficulty in securing marketability due to various problems. Therefore, they try to integrate blockchain technology to develop new systems and gain marketability. However, blockchain has limitations in solving the problems of the personal health record system. In this study, we have designed a personalized health data management framework that enables information subjects to acquire full ownership rights of individual's health data, based on distributed ledger technology. For the framework design, we refer to the structure of R3 Corda. It was designed with a different network structure than the existing blockchain systems so that the node can be operated on the personal user's mobile device. This allows information subjects to directly store and manage their own data and share data with authorized network members. Through the proposed system, the information utilization of the healthcare industry can be improved and the public health promotion and medical technology development can be realized.

• Information Systems Review
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• v.25 no.1
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• pp.111-128
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• 2023

With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.1
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• pp.106-110
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• 2008

The requirement for customized learning environments is increasing with the development of Web 2.0 technology To personalize services in E-learning, there are various functions available to the user. However, some components have fixed or inflexible functionality that limits what can be changed, and customization information has not been used for other purposes. In this paper, we propose an e-Space manager for the dynamic customization of learning environment control units. The proposed method can confirm which areas users have customized and how they have customized them. The advantage is that users can control their own learning environments, including not only the format, but also the content within the limits of the underlying system. The customization information is captured to confirm the competency model.

• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.6
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• pp.1108-1112
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• 2011

Voice can be widely used to classify the four constitution types and to recognize one's health condition from extracting meaningful features as physical quantity in traditional Korean medicine or Western medicine. In this paper, we proposed the method to update the standard operating procedure (SOP) to acquire and record voices for extracting stable vocal features since they are sensitive to the variation of a subject's utterance. At first, we obtained pitch frequencies from vowels and the sentence and intensity form the sentence as features with voices acquired under subjects' utterance conditions and then the deviation ratios of features from median values according to the utterance conditions were obtained and the condition to minimize the ratio was selected as a new SOP. As a result, we decided the SOP for a subject to utter vowels with the length of 2s~1s and sentences with over 2s interval between them after practice, in consideration of the deviation and qualitative requirements. Stable voice features obtained from updated SOP produce accurate diagnosis, which will be developed and simplified for using in the u-Healthcare system of personalized medicine.

• Journal of Korean Traditional Oncology
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• v.17 no.2
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• pp.1-16
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• 2012

Background : Integrative cancer treatment is a holistic approach embracing body, mind, and spirit incorporating conventional treatments of surgery, chemotherapy, radiation and personalized complementary treatments. Wheel Balance Therapy (WBT) of East-West Cancer Center(EWCC), Dunsan Oriental Hospital of Daejeon University was developed to balance out all factors involved in cancer care based on the traditional theories of oriental medicine. Objective : This work aims to analytically review literatures on WBT and its related components. Methods : Literatures published from January 1st, 1990 to April 30th, 2011 were reviewed focusing on 4 main components of WBT; herbal medicine, immune activation, anti-cancer diet, and breathing/meditation. Data were retrieved from medical search engines and electronic data bases including Pubmed, Research Information sharing Service (RISS), Korean-studies Information Service System (KISS), China National Knowledge Infrastructure (CNKI), and Korea's National Digital Library (KNDL). Results : In this review, EWCC's most commonly prescribed formulas are explored. The composition of the formulas, their use in clinical settings as well as the background studies and other therapeutic efficacies are explained. Information on incorporating anti-cancer dietary support and breathing and meditation techniques, other therapies practiced as part of the center's integrative cancer care are also covered. Conclusion : WBT based on holistic theories of oriental medicine embracing body, mind, and spirit is expected to further contribute in promotion of cancer patients' quality of life and prolonged survival time.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.261-265
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• 2015

When choosing a gift for the other person what does that person like? It falls into a happy worry. Choosing the right gift for someone else associated with me is not easy in the personalized world gradually. In this paper a smart phone app is developed for reducing conflicts and saving time to choose gifts. It may help improve a person's satisfaction. It can reduce the worry and time required for buying a gift. It may also be used to make future interpersonal relationships and vitalize the relationships. For the gift recommendation in accordance with the preferences of the person through the process in accordance with the classification of each category can recommend an appropriate gift. The appropriation of the gift is updated to reflect the continuing satisfaction by recommendation status decided by the pre-survey. Any gift is recommended using the formula calculating the priority to recommend reflect a variety of weights. In addition, it is possible to increase the utilization of the app via the fusion between the e-commerce system.

• Journal of Intelligence and Information Systems
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• v.23 no.1
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• pp.109-126
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• 2017

In the various kinds of intelligent services, many studies for detecting emotion are in progress. Particularly, studies on emotion recognition at the particular time have been conducted in order to provide personalized experiences to the audience in the field of exhibition though facial expressions change as time passes. So, the aim of this paper is to build a model to predict the audience's emotion from the changes of facial expressions while watching an exhibit. The proposed model is based on both sequential neural network and the Valence-Arousal model. To validate the usefulness of the proposed model, we performed an experiment to compare the proposed model with the standard neural-network-based model to compare their performance. The results confirmed that the proposed model considering time sequence had better prediction accuracy.

• Journal of the Korean Society for information Management
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• v.23 no.1 s.59
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• pp.159-179
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• 2006

The University of Northern iowa Rod Library has mission statement that a personalized learning environment founded on the strong liberal arts curriculum and to supporting an intellectually and culturally diverse community. The Rod Library has been developing the strategic plans by 5 years since 1987 Recently, the strategy has been faced need to measure of performance how much does make it up. This study developed the BSC model and the strategy map that analyze the strategic plan 2004-2009 of the University of Northern iowa Rod library and transfer the strategy into the four perspectives of BSC. In addition, this study presented the success performance indicators measuring the strategic goals of each perspectives and the cause-effect model driving the lead indicators of performance.