• The KIPS Transactions:PartA
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• v.13A no.5 s.102
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• pp.473-480
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• 2006

Recently, remote education systems for web-based teaching-studying are rapidly increased. Also, a request for customized courseware suitable for individual learner's level and learning pattern is increasing. But, most remote education systems do not provide customized learning service fit for each learner's level and lots of learners easily lose their interest in studying. Therefore, a lot of researchers have tried to provide personalized customized learning service by analyzing leaner's level and learning pattern automatically with agents. In this paper, we designed and implemented a customized courseware for studying the computer application. There are four agents such as professor, assistant, student, and monitor agent in CCA and they cooperate with each other to provide learning contents suited to each learner's level.

• International journal of advanced smart convergence
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• v.10 no.3
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• pp.131-142
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• 2021

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.2
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• pp.59-76
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• 2014

The purpose of this study is to recommend on the public library service for older adults through the analysis of the perceptions of older adults and librarians. To achieve the study purpose, interview method was employed. The interview questions are composed based on the ALA guidelines. According to the study results, the following ten factors were recommended by older adults: 1) various customized life long learning programs for older adults, 2) highly qualified staff for the public library life long learning programs and regular evaluation for the staff, 3) provision of various and new information resources, 4) promotion of public library services and programs, 5) public library staff's kindness and professionalism, 6) regular reeducation of the public library staff, 7) library user education, 8) customized resources, facilities, and equipments for older adults, 9) provision of the library space, and 10) customized library services for older adults. In addition, the following four factors were mentioned by librarians: 1) customized services and programs for older adults, 2) customized collection, facilities, and equipments, 3) adequate budget for public library service for older adults, 4) professionals for the public library service for older adults. The followings were recommended by both the older adults and librarians: 1) Customized library services, programs, collection, equipments, facilities for older adults, 2) Professionals for the public library service for older adults and Regular reeducation for them.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.1075-1087
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• 2020

Aviation ICT technology is a convergence technology between aviation and electronics, and has a wide variety of applications, including navigation and education. Among them, in the field of aerial pilot training, there are many problems such as the possibility of accidents during training and the lack of coping skills for various situations. This raises the need for a simulated pilot training system similar to actual training. In this paper, pilot training data were collected in pilot training system using VR/AR to increase immersion in flight training, and Customized Pilot Training Platform with Collaborative Deep Learning in VR/AR Environment that can recommend effective training courses to pilots is proposed. To verify the accuracy of the recommendation, the performance of the proposed collaborative deep learning algorithm with the existing recommendation algorithm was evaluated, and the flight test score was measured based on the pilot's training data base, and the deviations of each result were compared. The proposed service platform can expect more reliable recommendation results than previous studies, and the user survey for verification showed high satisfaction.

• KSCI Review
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• v.14 no.1
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• pp.213-219
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• 2006

We need the customized e-Learning service according to not only developing the wireless mobile and hardware technology, also developing the multimedia process skills. Especially, the beginner who start to learn the first programming course must be provided the personalized learning. The beginner require the repeated practices to obtain the programming skills, also they reveal the different learning effects following the learner capability In this paper. we develop a new e-Learning contents which give the individual service for learner and show the simulation which is program execution to maximize the learning effects.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.191-198
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• 2017

It is needed to support intelligent customized health information service for user convenience in PHR based Personal Health Care Service Platform. In this paper, we specify an ontology-based health data model for Personal Health Care Service Platform. We also design a knowledge search algorithm that can be used to figure out similar health record by applying machine learning and data mining techniques. Axis-based mining algorithm, which we proposed, can be performed based on axis-attributes in order to improve relevance of knowledge exploration and to provide efficient search time by reducing the size of candidate item set. And K-Nearest Neighbor algorithm is used to perform to do grouping users byaccording to the similarity of the user profile. These algorithms improves the efficiency of customized information exploration according to the user 's disease and health condition. It can be useful to apply the proposed algorithm to a process of inference in the Personal Health Care Service Platform and makes it possible to recommend customized health information to the user. It is useful for people to manage smart health care in aging society.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.349-360
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• 2019

This study analyzes the trends of recommendation services for customized fashion styles in relation to artificial intelligence. To achieve this goal, the study examined filtering technologies of collaborative, content based, and deep-learning as well as analyzed the characteristics of recommendation services in the users' purchasing process. The results of this study showed that the most universal recommendation technology is collaborative filtering. Collaborative filtering was shown to allow intuitive searching of similar fashion styles in the cognition of need stage, and appeared to be useful in comparing prices but not suitable for innovative customers who pursue early trends. Second, content based filtering was shown to utilize body shape as a key personal profile item in order to reduce the possibility of failure when selecting sizes online, which has limits to being able to wear the product beforehand. Third, fashion style recommendations applied with deep-learning intervene with all user processes of buying products online that was also confirmed to penetrate into the creative area of image tag services, virtual reality services, clothes wearing fit evaluation services, and individually customized design services.

• Journal of the Korean Society for information Management
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• v.20 no.4 s.50
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• pp.113-134
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• 2003

With SDI service provided in libraries and information centers traditionally, this paper studies component technologies and structure of system platform in PIS(personalization information service based on the customized information service served currently in some institutions. The PIS system should provide relevant information as an output through the learning system analyzing user information searching behavior as an input value with personal profile information. To do it, this paper studies requirements and algorithms to develop PIS, and proposes learning system and recommendation system as core components in PIS.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.89-102
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• 2010

The present thesis aims to analyze in consideration of recent changes in teaching environment in the universities the commercial digital contents and e-learning courses provided by the libraries, and to propose the ways to encourage university library service needed under the current situation. A survey of professors and students upon the quality of commercial digital contents service provided by the libraries in I University was made to measure its influence upon e-learning courses. The quality of commercial digital contents service provided by libraries was measured through Digital Library Service Quality Index (which will be referred as DL-SQL Model from here), which is used as a model to examine the Digital Library Service, with partial adjustments of 4 levels (information system service, digital books service, customer service quality, and customer community service) and 7 components (search possibility, an exclusive organization and interface, accessibility, digital books, customer support service, personalized service, and customer community). Among the library services in regard to digital contents, "customer service" and "customer community service" were analyzed to have stronger influence upon e-learning teaching and studying than quality-based service for "information system" and "digital books". Consequently, it is concluded that customized information service provided by the library for the professors who teach e-learning courses and their students is more influential to supporting e-learning courses than quantity pushing service through purchasing commercial digital contents, upon which the direction of digital contents policy to provide library services for e-learning courses should be based.

• Journal of Internet of Things and Convergence
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• v.8 no.3
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• pp.69-74
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• 2022

Big data related analysis techniques, the prescriptive analytics methodology improves the performance of passive learning models by ensuring that active learning secures high-quality learning data. Prescriptive analytics is a performance maximizing process by enhancing the machine learning models and optimizing systems through active learning to secure high-quality learning data. It is the best subscription value analysis that constructs the expensive category data efficiently. To expand the value of data by collecting research field, research propensity, and research activity information, customized researcher through prescriptive analysis such as predicting the situation at the time of execution after data pre-processing, deriving viable alternatives, and examining the validity of alternatives according to changes in the situation Provides research information service.