• 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.

• Journal of Intelligence and Information Systems
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• v.7 no.1
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• pp.149-159
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• 2001

There have been lots of researches for providing a personalized service to a customer using one-to-one marketing and collaborative filtering techniques in E-Commerce. However, there are technical difficulties for providing the recommendation of products far users, which often involve high complexity of computation. In this paper, we have presented an integrated method of classification problem solving method and constraint based configuration techniques. This method can reduce a complexity of computation by classifying a solution domain space that has a higher complexity of composition. Thereafter, we have modeled customers constraints and the components of products to configure a complete system by passing it to constraint processing module in Constraint Satisfaction Problems. Constraint-based configuration uses the constraint propagation using the constraints of buyers and the constraints among PC components to configure a proper product for a customer. We have transformed and applied vector space modeling method in the field of information retrieval to consider a customer satisfaction in addition to the CSP. Finally, we have applied our system to test data fur evaluating a customers satisfaction and performance of the proposed system.

• The Journal of Pediatrics of Korean Medicine
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• v.31 no.3
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• pp.46-63
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• 2017

Objectives The Korean Medicine (KM) PHR platform is a personalized healthcare service which allows individuals to keep and manage their own health records. When parents are reporting for their children from their memories, there is high possibility of recall errors. In these cases, it could be useful for doctors to collect the patient's symptoms through PHR platform. In this study, we aimed to investigate the clinical significance of the PHR by using the KM PHR platform in the pediatric clinic. Methods The PHR platform was used to collect child health information from parents and child care teachers. The collected data were analyzed in comparison with the results of screening by pediatrician. Results A total of 58 children were recruited, 44 of which health information were collected from their parents and their child care teachers. The remaining 14 children's health information were collected from their parents only. As a result the parents tended to perceive their children weaker than the child care teacher. Compared to other organs, there was a only significant difference in the heart weakness score and spleen weakness score in the comparison of the weak and healthy children. Conclusions Although the study was conducted on a small group of subjects, and used PHR platform developed specifically for adults to indirectly input child's symptoms, and analyzed their health information, there was a difference in health records between information providers. Development of PHR platform for children is needed to collect more reliable information.

• Journal of Korean Library and Information Science Society
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• v.39 no.4
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• pp.97-123
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• 2008

Subject specialized services are introduced in library environment in order to meet users' needs, which become more specialized, characterized, and personalized. This concept dates back to the 1960 in Korean scholarly research, and previous studies revealed that many libraries in Korea have provided this kind of subject specialized services to library users. This study aimed to consider appropriate directions of subject specialization in Korea. This study examined seven library cases the structure of which is organized by subject specialization. It tried to give a good grasp of background of building up the subject specialization system, current state of the service and its effects, problems and challenges of operating the system, recruitment and training issues of subject specialist librarians, their duties and tasks, and so on. Also Announcements of academic subject specialist positions in Korea are compared to in other countries such as United States, UK, and Canada in order to analyze the demand for subject specialist librarians.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2043-2051
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• 2017

Lately, In addition to the increased interest in the big data field, there is also a growing interest in application fields through the processing of big data. Opinion Mining is a big data processing technique that is widely used in providing personalized service to users. Based on this, in this paper, textual review of users' places is processed by Opinion mining technique and the sentiment of users was analyzed through k-means clustering. The same numerical value is given to users who have a similar category of sentiment classified as a clustering operation. We propose a method to show recommendation contents to users by predicting preference using collaborative filtering recommendation system with assigned numerical values and marking contents with markers on the map in order of places with high predicted value.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.4
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• pp.315-325
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• 2014

In ubiquitous environment, User's location information is very important to serve personalized service to user. Previous works consider only User's locations in the big buildings and assume APs are fixed. Normal home environment, However, is consists of small spaces. And the state of APs is highly fluid. Previous research has focused on indoor localization in the building where has stationary AP environment. However, in this paper, we propose as User's Location Predicting System that finds out a space where a user is located based on Wi-Fi Fingerprint approach in home environments. The results that conducted real home environments are using the system show more than 80% accuracy.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.4
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• pp.127-133
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• 2009

To ensure access to rapidly growing video collection, video indexing is becoming more and more essential. A database for video should be build for fast searching and extracting the accurate features of video information with more complex characteristics. Moreover, video indexing structure supports efficient retrieval of interesting contents to reflect user preferences. In this paper, we propose semantic video retrieval method based on user preference. Unlikely the previous methods do not consider user preferences. Futhermore, the conventional methods show the result as simple text matching for the user's query that does not supports the semantic search. To overcome these limitations, we develop a method for user preference analysis and present a method of video ontology construction for semantic retrieval. The simulation results show that the proposed algorithm performs better than previous methods in terms of semantic video retrieval based on user preferences.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.10
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• pp.21-29
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• 2013

This paper proposed the architecture of the authentication and the transmission for high reliable emergency data management based on U-healthcare wireless mesh networks. In U-healthcare monitoring service, the high reliable bio data management as well as the data transmission are required because the monitoring emergency bio data is related linked to life. More specifically, the technologies of the identity authentication of the measuring bio data, the personalized emergency status diagnosis who is authenticated the bio data and the emergency data transmission are important first of all. To do this, this paper presents the structure and protocol of the identity authentication management with using the extended IEEE 11073 PHD, the structure of policy-based management of the emergency bio data for the highly reliable management and the resilient routing protocol based on wireless mesh network for the reliable data transmission.

• Journal of the Korea Society of Computer and Information
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• v.19 no.12
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• pp.101-109
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• 2014

Medical technology development and increase the income level of a "Long and healthy Life=Wellness," with the growing interest in actively promoting and maintaining health and wellness has become enlarged. In addition, the demand for personalized health care services is growing and extensive medical moves of big data, disease prevention, too. In this paper, the main interest in the market, highlighting wellness in order to support big data-driven healthcare quality through patient-centered medical services purposes. Patients with drug dependence treatment is not to diet but to improve disease prevention and treatment based on analysis of big data. Analysing your Tweets-daily information and wellness disease prevention and treatment, based on the purpose of the dictionary. Efficient big data analysis for node while increasing processing time experiment. Test result case of total access time efficient 26% of one node to three nodes and case of data storage is 63%, case of data aggregate is 18% efficient of one node to three nodes.

• Journal of the Korea Society of Computer and Information
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• v.19 no.8
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• pp.83-93
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• 2014

Research into recommendation systems for wellness content has focused on representative research on the convergence of wellness and information technology, as interest in wellness has recently increased. But existing research is not suitable because it uses only one or two of the five wellness areas: physical, emotional, social, intellectual, and spiritual. And It cause decline of reliability and satisfaction for recommendation. Thus, a wellness areal feature analysis and integration management technique is needed. In this paper, suggest meta-data configuration and feature analysis technique of content. Also Cosine similarity of wellness areal features of the content was analyzed by applying a wellness areal score calculated in this way and by suggested wellness areal detailed properties and a measurement system to verify the efficiency of this research. This allows the wellness features of contents analyzed, and even will be able to personalized recommendations service for wellness.