• Journal of the Korean Society for information Management
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• v.32 no.1
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• pp.109-134
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• 2015

In the Korean wave 3.0 age, it is needed to prepare how to globalize and hold Korean culture through development of various Korean wave culture contents from existing contents focused on media. The goal of this study is to establish the foundation for developing the various Korean wave culture contents as linking information about other culture contents as well as food culture by extending Korean culture contents service based on LOD. For this purpose, this study established and assorted the concept of food culture through the literature review and case study and analyzed the applicability of the services of food culture contents based on LOD. Futhermore, this study provides the basis on extension of Korean wave culture service and suggests the process of implementation of food culture LOD and service model.

• Journal of the Korean Society for information Management
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• v.28 no.4
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• pp.263-278
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• 2011

This study analyzed the level of 326 academic librarians awareness, usability and counter strategies on the Library 3.0. The results revealed the awareness level in the following order: that (1) Mobile Library (2) Semantic Search (3) AI(Artificial Intelligent) (4) Cloud Computing (5) Ontology (6) Linked Data. The order of the future usability for the Library 3.0 was ranked (1) Mobile Library (2) Linked Data (3) Semantic Search (4) Cloud Computing (5) AI and (6) Ontology. To conclude, the level of awareness and the usability of Library 3.0 were shown to be statistically significant. There are, however, some discrepancies in awareness differ across librarians and regions. Moreover, the level of awareness for the Library 3.0 did influence the library's organizational performance but the individual librarian's competences only.

• Journal of KIISE:Software and Applications
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• v.36 no.10
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• pp.851-860
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• 2009

Recently, among the computational methods of protein-protein interaction prediction, vast amounts of domain based methods originated from domain-domain relation consideration have been developed. However, it is true that multi domains collaboration is avowedly ignored because of computational complexity. In this paper, we implemented a protein interaction prediction system based the Interaction Significance matrix, which quantified an influence of domain combination pair on a protein interaction. Unlike conventional domain combination methods, IS matrix contains weighted domain combinations and domain combination pair power, which mean possibilities of domain collaboration and being the main body on a protein interaction. About 63% of sensitivity and 94% of specificity were measured when we use interaction data from DIP, IntAct and Pfam-A as a domain database. In addition, prediction accuracy gradually increased by growth of learning set size, The prediction software and learning data are currently available on the web site.

• Journal of KIISE:Software and Applications
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• v.27 no.4
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• pp.315-326
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• 2000

As Internet is being widely used as an infra of distributed applications, the most of today's softwares are changing into Internet-based distributed applications. The development methods using the middleware, like CORBA ORB, make the development of the web-based software easy. However, the performance verification method useful for an optimized software distribution is not provided at software development. Additionally, monitoring methods and metrics for dynamic load-balancing are not presented at run-time. This paper presents the method to monitor the message between objects, load metric, and metrics for load-balancing. To calculate a load of a node, we define events occurred between applications, time between the events, then extract the data related to a load. And we derive formula calculating the load from the extracted data. Then using the formula, we present the metrics for dynamic load-balancing. Moreover, we observe the utilization and efficiency of the monitoring algorithm, load metric, and load-balancing metrics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6830-6837
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• 2014

Since the advent of global warming and energy depletion, there has been great interest in eco-driving (energy-efficient driving). In this paper, a system is proposed to monitor the idle running of an engine and steady driving for a vehicle equipped with an ISG (Idling Stop & Go system). The system consists of a G/W device to acquire the vehicle operation data, a smartphone app for monitoring eco-driving and a server system. The main contribution of this paper is that it defines the integrated functions, the architecture and operation mechanisms of a system for monitoring eco-driving including the prohibition of running idle. The system enables the users to check the idling stop times, driving speeds, fuel savings, and $CO_2$ emissions, resulting in the driving style for eco-driving. The server system, which is a part of this system, provides OpenAPI-style web services for the storage and retrieval of car operation data, which facilitates the development of applications.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.6
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• pp.614-618
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• 2008

As the multimedia data increase a lot with the rapid development of the Internet, an efficient retrieval technique focusing on individual users is required based on the analyses of such data. However, user modeling services provided by recent web sites have the limitation of text-based page configurations and recommendation retrieval. In this paper, we construct the user preference model with a Bayesian network to apply the user modeling to video retrieval, and suggest a method which utilizes probability reasoning. To do this, context information is defined in a real office environment and the video scripts acquired from established cameras and annotated the context information manually are used. Personal information of the user, obtained from user input, is adopted for the evidence value of the constructed Bayesian Network, and user preference is inferred. The probability value, which is produced from the result of Bayesian Network reasoning, is used for retrieval, making the system return the retrieval result suitable for each user's preference. The usability test indicates that the satisfaction level of the selected results based on the proposed model is higher than general retrieval method.

• Journal of Korea Multimedia Society
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• v.15 no.3
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• pp.388-397
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• 2012

Recently, one of the received attraction fields in web based service is 'Human Relationship Service' that is called SNS. This relationship map service is able to deliver information to user more easily and visually because it is intuitive data that is linked with offline real world. While past map service put physical real information in the map, present map service is evolving into new communicative platform that expresses social relationship beyond simple search platform that shows real world. In this paper, we propose smart social grid system using sketch map that is based on online map service structure. This system has features such as standardized interface provision for various SNS, use to governance hub tool in case of establishing a personal network through expanded social grid, a role of bridge to mashup software linked with other SNS, user environment construction that reproduces social grid data, and the faster service setup by improved search technology.

• Journal of KIISE:Information Networking
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• v.29 no.5
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• pp.482-494
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• 2002

In E-mail based accounting system, the remitter does not have need to find collector's account number. To transfer money to a collector's account, what remitter need is just a collector's E-mail address. But the current E-mail based accounting systems are built on SSL technology. Basically SSL provides some security services - confidentiality, user authentication and data integrity, but does not provide non-repudiation. So, in the current E-mail based accounting system, it is possible to deny transaction. And there is no receipt of transaction. In this paper, we design and implementation of a S/MIME applied Secure Payment Mechanism. In our system, every account information - account number, receiver name, amount of money, etc. - is included in a 'check' message. And this message is protected under the Secure Web-mail using S/MIME. In a view point of the convenience, users using our system do not have need to find collector's account number. And in a view point of the security, our system provides confidentiality, user authentication, data integrity and non-repudiation. Moreover our system provides a receipt.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.615-620
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• 2016

Improved quality of life has increased in a population with a high BMI (Body Mass Index). Accordingly, the development of a system for prevention of obesity management is required. Because a requirement for the prevention of obesity management system. This system has been developed to solve this problem and it is done by measuring the user information of the individual's body. The purpose of this paper is to understand the changes in your own BMI over the course of usage of this application and store the BMI in the database. This BMI data is expressed as a graph to the user and based on the BMI graph, the user is suggested to the type of exercise required by his body. The most appropriate exercise equipment's are shown to the user based on the BMI and also recommendations based on the historical data of other users with similar BMI. This system also recommends chronic diseases depending on blood sugar, blood pressure.

• Journal of the Korean Society for information Management
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• v.23 no.3 s.61
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• pp.5-21
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• 2006

In recent years, theories of image and sound analysis have been proposed to work with text retrieval systems and have progressed quickly with the rapid progress in data processing speeds. This study proposes a common representation format for multimedia documents (CRFMD) composed of both images and text to form a single data structure. It also shows that image classification of a given test set is dramatically improved when text features are encoded together with image features. CRFMD might be applicable to other areas of multimedia document retrieval and processing, such as medical image retrieval, World Wide Web searching, and museum collection retrieval.