• 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.

• Journal of the Korean Society of Clothing and Textiles
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• v.31 no.5 s.164
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• pp.753-764
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• 2007

Apparel goods can be customer-oriented in the extreme and the apparel industry is one of the most customer-centered industries that should maximize customers' satisfaction. Recently, mass customization, a customer-centered system is widely discussed in the apparel industry to provide consumers with new, differentiating, distinctive, yet personalized products. The purpose of this study is to provide useful insights for apparel brands' mass customization(hereafter, MC) implementation by comparing the apparel brands' current status with consumers' expectation. One hundred apparel brands' practitioners and 116 consumers were surveyed in this research. First, we found that, on the basis of the five stages of MC presented by Pine(1993), apparel brands' MC stages were identified. Then, customers' expectation levels were examined according to the five stages. When compared the gap between the customers' expectation level and the apparel brands' implementation, consumers' expectation of MC was significantly higher than the implementation level by apparel brands for the stage 2(customized products creation), the stage 5(modular production). Second, by conducting a factor analysis with the scales measuring the MC activities of the five stages, apparel brands' current MC strategies could be classified as 'mass customized strategy', 'quick response strategy', 'MOT(moment of truth) customized strategy', and 'individualized service strategy.' Apparel brands showed significant differences in mass customized strategy, quickresponse strategy, and MOT customized strategy according to their product characteristics. Finally, consumers' expectation level of MC strategies was significantly different by their characteristics such as shopping orientation.

• Korean Journal of Head & Neck Oncology
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• v.33 no.2
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• pp.9-15
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• 2017

The recently released the $8^{th}$ edition of the American Joint Committee on Cancer (AJCC) Staging Manual introduces significant modifications from the prior $7^{th}$ edition. In this paper, the contents of the new changes in the decision of cancer of the head and neck is summarized except changes in staging of skin and thyroid cancer. In addition to the 8th edition, 1) Addition of extracapsular involvement in metastatic lymph nodes (N category) 2) Oral cancer T classification change, 3) Staging of the pharyngeal cancer was divided into 3 chapters: high-risk human papilloma virus (HR-HPV) associated oropharyngeal cancer (OPC), non HR-HPV associated OPC and hypopharynx cancer (HPC), and nasopharynx cancer (NPC) 4) Changes in T and N classification in NPC, 5) In the case of cancer of unknown primary, P16-positive case is defined as HR-HPV related OPC, and EBV-positive case is defined as NPC. The process that led to these changes highlights the need to collect high-fidelity cancer registry-level data that can be used to confirm prognostic observations identified in institutional data sets. Clinicians will continue to use the latest information for patient care, including scientific content of the 8th Edition Manual. All newly diagnosed cases through December $31^{st}$ 2017 should be staged with the 7th edition. The time extension will allow all partners to develop and update protocols and guidelines and for software vendors to develop, test, and deploy their products in time for the data collection and implementation of the 8th edition in 2018. The 8th edition strikes a balance between a personalized, complex system and a more general, simpler one that maintains the user-friendliness and worldwide acceptability of the traditional TNM staging paradigm.

• Journal of Internet Computing and Services
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• v.12 no.4
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• pp.135-143
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• 2011

The smartphone allows learners to be involved in learning environments in which students actively study from anywhere and at anytime. Because learners can keep engaged in the environment where they can access to the internet, they can efficiently study in transit using various features and functions of smartphone. Smart learning is a unique learning based on mobility and functions of mobile digital devices including searching and sharing information and using various applications. For the effective use of smartphones in e-learning systems, the contents and learning management systems should be designed to meet effective teaching and learning principles, such as interactivity and collaborations. In smart learning, learning contents for effective learning need to be integrated with typical functions of smartphones and to develop small pieces of learning contents according to learning topics. In the case of learning management systems, it should reflect understanding of learners' environment using a PA agent program and provide personalized learning services.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5113-5119
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• 2010

Anthropometry has been broadly explored in various fields including automobile industry, home electronic appliances, medical appliances and sports goods with aiming at reaching satisfaction to consumer's need and efficiency. However, current technologies to measure a human body still have barriers in which the methods mostly seem to be contingent on expensive devices such as scanner and digital measuring instruments and to be directly touchable to the body when obtaining body size.. Therefore, in this paper, we present a general method to automatically extract size of body from a real body image acquired from a camera and to utilize it into recommend systems including clothing and bicycle fitting. At first, Haar-like features and AdaBoost algorithm are employed to detect body position. Then features of body can be recognized using AAM. Finally clothing and bicycle recommending modules have been implemented and experimented to validate the proposed method.