• 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 Institute of Information and Communication Engineering
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• v.8 no.8
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• pp.1843-1850
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• 2004

If the location information of a great number of cars kept for business with telematics terminals is acquired and managed efficiently, this information forms the foundation for controlling cars and traffic flows. The studies on the pure spatial indices have focused on the efficient retrievals. However, the acquisition and management of the terminal location of moving objects are more important than the efficiency of the query processing in the moving object databases. Therefore, it will be need to adopt parallel processing system for the moving object databases which should maintain the object's current location as precise as possible. This paper proposes a location management system using CDMA communications of telematics terminals. More precisely, we propose a architecture of spatial indexing mobile objects using multiple processors, and also newly propose a method of splitting buckets using the properties of moving objects in order to minimize the number of database updates. We also propose a acquisition method for gathering the location information of moving objects and passing the information of the bucket extents in order to reduce the amount of passed messages between processors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2871-2877
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• 2015

Shopping patterns are changing with the emergence of SNS. Recently, it is also interested in providing the information based on the users' needs. Generally, the provided information is obtained from the history of users' simple browsing. Best selling hot item list is also provided in order to reflect the preferences of public users. However, the provided information is irrelevant to an individual preference. In this paper, we propose a method to utilize inner and outer SNS for analyzing public preferences about goods which are interested by individual users. The inner analyzing module collects and analyzes the preferences of community members about two goods designated by individual users. The outer analyzing module supports to analyze public preferences by using the tweeter SNS. The results of implementation show that it is possible to recommend goods based on the individual users' preferences unlike the existing shopping mall.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.3
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• pp.207-226
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• 2013

Although it is about a decade since public libraries started to provide digital information services, lack of expertise for efficient service operation and restrictions related to copyrights have led to failure to obtain remarkable performances in uses. This study intends to analyze operation cases of domestic and overseas collaborative digital information services, as well as the current status of digital information services of libraries in Gyeonggido, thereby developing a collaborative digital information service model among public libraries on the level of local governments. This research then analyzed collaborative digital information service Web sites and surveys. Based on the analysis result, this study presented support of integrated search of possessed electronic information, Web database (DB), DB on original texts of regional records, online reference services, and mobile platforms as functional factors to embody a successful service model. As a system management road map, an eclectic model combining the merits of centralized and decentralized models was found to be more effective than a centralized or decentralized model in consideration of the characteristics of participating organizations.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.543-551
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• 2015

As the use of internet and mobile devices became generalized, users utilizing search and recommendation in order to find the information they want in the midst of various websites have become common. In order to recommend more appropriate item for users, this paper proposes a recommendation technique that reflects the users' preference change following the flow of time by applying users' activity and time information. The proposed technique, after classifying the data in categories including the tag information that is considered at the time of choosing the items, only uses the data that users' preference change following the flow of time is reflected. For the users who prefer the corresponding category, the item that is extracted by applying tag information to collaboration filtering technique is recommended and for general users, items are recommended based on the ranking calculated by using the tag information. The proposed technique was experimented by using hetrec2011-movielens-2k data set. The experiment result indicated that the proposed technique has been more enhanced the accuracy, appropriacy, compared to item-based, user-based method.

• Journal of Internet of Things and Convergence
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• v.2 no.3
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• pp.7-15
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• 2016

These days, a lot of research has been in progress for a home automation system. In this study, the intelligent home automation system is developed for automatically controlling the temperature and illumination of the house. The difference with other research can be adjusted individually according to your taste and lifestyle of each individual, it is that it provides a more comfortable living environment through the accumulated lifestyle database. In addition, proposed system can use the mobile app to easily control the lighting devices, a electric fans, and heaters. Moreover the mobile app of proposed system offers function that allows you to search for residential environments statistics on their lifestyle.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.129-130
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• 2018

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Artificial Intelligence" keyword, one month as of May 19, 2018. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Artificial Intelligence" has been found to be technology (4,122). This study suggests theoretical implications based on the results.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.47 no.4
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• pp.109-117
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• 2010

With the advent of new technologies such as HSDPA, WiBro(Wireless Broadband) and personal devices, we can access various contents and services anytime and anywhere. A location based service(LBS) is essential for providing personalized services with individual location information in ubiquitous computing environment. In this paper, we propose mapping algorithm for error compensation of indoor localization system. Also we explain filter and indoor localization system. we have developed mapping algorithms composed of a map recognition method and a position compensation method. The map recognition method achieves physical space recognition and map element relation extraction. We improved the accuracy of position searching. In addition, we reduced position errors using a dynamic scale factor.

• Journal of Digital Contents Society
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• v.16 no.2
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• pp.245-255
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• 2015

As people are highly interested in health, the number of people who participate in various sports programs is getting increased. But there is no web service which integrates all the information of the public sports facilities in Seoul and it's convenient to use the public sport facilities. So we propose an integrated information system whoever can find the public sports facilities in Seoul. The public APIs for the Seoul public sports facilities provided by Seoul city are used to integrate the information. Also, our web page provides various graphic function using pictures and videos of the facilities on the environment of HTML5. And it is the responsive webpage which can be provided on both desktop and mobile environment. By implementing the wizard page, the managers of the facilities who are not specialized can renew the information about their facilities easily. And for the easier searching, we provides three options of searching: local, subjects, themes.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.1
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• pp.23-28
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• 2018

In this work, we developed a platform that can monitor status and manage events of factory workplaces by providing events and data collected from various types of multi-touch technology based sensors installed in the workplace. By using the image recognition technology, faces of the people in the factory workplace are recognized and the customized contents for each worker are provided, and security of contents is enhanced by the authenticating an individual worker through face recognition. Contents control function through gesture recognition is constructed, so that workers can easily search documents. Also, it is possible to provide contents for workers by implementing face recognition function in mobile devices. The result of this work can be used to improve workplace safety, convenience of workers, contents security and can be utilized as a base technology for future smart factory construction.