• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.85-90
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• 2013

Currently, the electric fire prediction system uses PIC(Peripheral Interface Controller) for controller microprocessor. PIC has a slower computing speed than DSP does, so its real-time computing ability is inadequate. So with the basic characteristics waveform during arc generation as the standard reference, the comparison to this reference is used to predict and alarm electric fire from arc. While such alarm can be detected and taken care of from a remote central server, that prediction error rate is high and remote control in mobile environment is not available. In this article, the arc detection of time domain and frequency domain and wavelet-based adaptation algorithm executing the adaptation algorithm in conversion domain were applied to develop an electric fire prediction system loaded with new real-time arc detection algorithm using DSP. Also, remote control was made available through iPhone environment-based app development which enabled remote monitoring for arc's electric signal and power quality, and its utility was verified.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.888-891
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• 2008

Collaborative Digital Reference Service(CDRS) that answer the users' questions through web has provided in Korea since 2004. CDRS has been revitalized in the developed countries, but not in Korea. This study analyzed the current status of CDRS, extracted the problems and limitations based on the analysis, and made the suggestions for improving CDRS in Korea to intensify the user satisfaction. The study analyzed the Korea's one and only CDRS service provided by Korea Institute of Science and Technology Information from 2004 to 2007. This study indicated the current trends of usages and services by analyzing the 4-years statistics, objectified the current situation, and suggested the improving plan for the services.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.229-248
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• 2010

Research has taken priority of many activities in universities and it has eventually brought the heat on research support services of libraries to meet high expectation of university researchers. To identify the major content areas and service methods of research guides serviced through digital libraries of universities, this study investigated research guides of 60 university libraries in North America and Korea. As a result, 13 categories for research guide contents were identified and 5 crucial areas for the contents development were suggested. It also analyzed providing methods of online research guides and communicating methods between librarians and users. Librarians were identified as the prime human resource to develope and manage research guides, which will play an important role in expanding diversity of librarians' roles in the future.

• Journal of Information Technology Services
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• v.16 no.3
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• pp.47-65
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• 2017

The reference guide for the cost of establishing the digital documents has been used as a basis for establishing the budget for the construction of the knowledge information resource. However, due to the abolition of the nominal unit price notification in terms of IT projects, it is necessary to conduct research to convert the standard of the current labor force grade standard to the national incompetency standard (NCS). In this study, we investigate and revise the system and contents of the current knowledge information cost estimation model. In specific, i) we conducted gap analysis of cost estimation model and existing NCS model. As the contents conforming for the construction of the knowledge information resource were not adoptable, we define the description of the construction of the knowledge information resource and to identify the core elements of NCS prior to the improvement of the cost model. ⅱ) then we proposed improve the cost model considering integration with newly proposed NCS model for knowledge information construction job. In order to ensure the validity of the application of NCS development and cost estimation model, the experts reviewed relevant contents and made plans for improvement by using experts from supply and demand groups of various fields of national knowledge informatization projects.

• Journal of Broadcast Engineering
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• v.18 no.6
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• pp.823-834
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• 2013

In this paper, we propose a detection method for Digital Radio Mondiale (DRM) Plus suitable for hybrid mode broadcasting which services both DRM Plus and analog FM within the same frequency band. The guard-interval correlation method of Orthogonal Frequency Division Multiplexing (OFDM) is good for DRM Plus signal detection, but the possibility for false alarm increases when FM signal is received. The proposed method includes a reference block in the guard-interval correlation which increases the identification rate of weak DRM Plus signals and decreases the possibility of false alarm when analog FM is received. The performance of the proposed method is verified through simulations.

• Journal of Korea Multimedia Society
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• v.25 no.10
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• pp.1512-1523
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• 2022

Artificial intelligence application in digital health care has been increasing with its development of artificial intelligence. The convergence of the healthcare industry and information and communication technology makes the diagnosis of diseases more simple and comprehensible. From the perspective of medical services, its practice as an initial test and a reference indicator may become widely applicable. Therefore, analyzing the factors that are the basis for existing diagnosis protocols also helps suggest directions using artificial intelligence beyond previous regression and statistical analyses. This paper conducts essential diagnostic prediction learning based on the analysis of blood cancer factors reported previously. Blood cancer diagnosis predictions based on artificial intelligence contribute to successfully achieve more than 90% accuracy and validation of blood cancer factors as an alternative auxiliary approach.

• Journal of the Korean Society for information Management
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• v.24 no.1 s.63
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• pp.75-101
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• 2007

The current technological revolution pushes forward the innovation in the library information systems. This study proposes functional requirements and an architectural reference model of Semantic Library, recognized as a prototype of next-generation library information systems, that is a seamless convergence of the library information systems and the Internet technologies. Semantic Library can realize semantic interoperability and integration based on ontology and metadata, and also renovate information services for users with openness, sharing, participation and collaboration. Semantic Library will be effectively implemented by means of service-oriented architecture and the logical structure of FRBR. In this study, a reference model of Semantic Library consisting of 6 horizontal layers and 3 vertical elements is presented as a next-generation model of library information systems.

• Journal of the Korean Society for Library and Information Science
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• v.37 no.2
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• pp.343-364
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• 2003

The importance of Knowledge Management (KM) can be easily recognized in many diverse aspects of the theory studies and in KM's efforts to help implement the government's policy to innovate corporation management. The core of KM is to improve the circulation of knowledge by generation, accumulation, sharing, utilization and acquisition by learning. The improvement of knowledge circulation would result in high quality and quantity of intellectual assets in corporations and make decision-making more efficient. This, too, is the operational philosophy of the special libraries. The primary objective of this study is to promote KM by presenting KM methodology and by explaining a theoretical background and cases, based on the existing special libraries. I cite an example of a case wherein merging intellectual assets and human resources activated the company culture. The reference service system, which is the core of the special library, was used in this merging.

• Journal of Digital Convergence
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• v.18 no.12
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• pp.29-36
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• 2020

The background of this study is that machine learning administrative services are recently attracting attention as a major policy tool for non-face-to-face administrative services in the post-corona era. This study investigated the types of work expected to be effective when introducing machine learning administrative services for Seoul Metropolitan Government officials who are piloting machine learning administrative services. The research method is a machine that can be introduced by organizational unit by distributing and collecting questionnaires for Seoul administrative organizations that have performed machine learning-based administrative services for one month in July 2020 targeting Seoul public officials using machine learning-based administrative services. By analyzing the learning administration service and application service, the business characteristics of each machine learning administration service type such as supervised learning work type, unsupervised learning work type, and reinforced learning work type were analyzed. As a result of the research analysis, it was found that there were significant differences in the characteristics of administrative tasks by supervised and unsupervised learning areas. In particular, it was found that the reinforcement learning domain contains the most appropriate business characteristics for machine learning administrative services. Implications were drawn. The results of this study can be provided as a reference material to practitioners who want to introduce machine learning administration services, and can be used as basic data for research to researchers who want to study machine learning administration services in the future.

• Journal of Digital Convergence
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• v.19 no.8
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• pp.337-343
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• 2021

This study researched the user experience of the monthly magazine subscription service, focusing on design students and designers. The revenue of magazine industry has been declined since 2012 and some magazines stop publishing or cease to publish. That is why this studied the user experience of magazine subscription services of monthly to increase magazine sales revenue, the largest portion of whole revenue. A survey and in-depth interviews with subscribers and non-subscribers was conducted to suggest improvements for the monthly . Since this study focused on user experience of magazine subscription, it could be a future reference for studying magazine subscription service.