• Journal of the Korean Society for Library and Information Science
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• v.30 no.4
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• pp.13-38
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• 1996

This study focuses on investigating and analyzing overall information use behavior of the social science researchers. questionnaires were sent to 150 researchers in three major libraries or research institutes in the area of the social sciences, Five hypotheses were tested on the basis of the assumption that there would exist unique characteristics in the information seeking behavior of social science researchers The findings of the study shows that social science researchers prefer monographs and journals: they tend to use current material: the first information source for their research activities is the cited references in the book or journal article : they are likely to delegate literature searching to the librarian, but they tend to conduct direct searching in online setting: in general, they react positively for the rapid change in information environment caused by recent development of information technology, It is emphasized that to design an efficient information system and provide an effective information service in the social science related library or information center, it is essential to consider the major characteristics and attributes of social science researchers in terms of their information use behavior.

• Journal of KIISE:Software and Applications
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• v.33 no.5
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• pp.460-469
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• 2006

To integrate heterogeneous distributed systems, there exist various researches and developments for the purpose of its adoption into enterprise environment. However, when web service technologies are applied, it is difficult to adopt directly existing software system development methodologies, because of the peculiar architecture of web services, such as service provider, service requester, and service repository. M4WSD(Method for Wes Services Development) is a web service development process model and involves procedures and guidelines to develop web services based on a Use Case model that is elicited from a business domain in requirement analysis. In this paper, we focus on how to determine key realization decisions for each service. The assessment guidelines help you to structure the problem of determining implementation strategy.

• Journal of KIISE
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• v.42 no.11
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• pp.1361-1371
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• 2015

Depending on the increase amongst various cloud services, the technology of the Cloud Service Broker (CSB) to find the most appropriate services to meet the needs of cloud service consumers has emerged. In order to advance for cloud services to be used through the CSB, it is important to ensure the quality level that meets the demands of consumers through a negotiation process based on the Service Level Agreement (SLA). However, quality metrics of cloud services are different from each other based on the measurement scale, which represents the quality level, and the calculation for each type of cloud services. Therefore, it is necessary to analyze the variability of the quality of cloud services and establish a SLA model for ensuring and improving the level of quality. In this paper, we analyze the quality metrics for the specific type of cloud services by applying the cross-cutting concept and propose a Virtual SLA (VSLA) meta-model.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.2
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• pp.89-112
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• 2024

Metadata is a crucial component of record management, playing a vital role in properly managing and understanding the record. In cases where automatic metadata assignment is not feasible, manual input by records professionals becomes necessary. This study aims to alleviate the challenges associated with manual entry by proposing a method that harnesses ChatGPT technology for extracting records management metadata elements. To employ ChatGPT technology, a Python program utilizing the LangChain library was developed. This program was designed to analyze PDF documents and extract metadata from records through questions, both with a locally installed instance of ChatGPT and the ChatGPT online service. Multiple PDF documents were subjected to this process to test the effectiveness of metadata extraction. The results revealed that while using LangChain with ChatGPT-3.5 turbo provided a secure environment, it exhibited some limitations in accurately retrieving metadata elements. Conversely, the ChatGPT-4 online service yielded relatively accurate results despite being unable to handle sensitive documents for security reasons. This exploration underscores the potential of utilizing ChatGPT technology to extract metadata in records management. With advancements in ChatGPT-related technologies, safer and more accurate results are expected to be achieved. Leveraging these advantages can significantly enhance the efficiency and productivity of tasks associated with managing records and metadata in archives.

• Korea Science and Art Forum
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• v.31
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• pp.21-32
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• 2017

Local festivals form the regional cultures and atmosphere of communication; they increase the demand of domestic tourism businesses and thus, have an important role in ripple effects (e.g. regional image improvement, tourist influx, job creation, regional contents development, and local product sales) and economic revitalization. IoT (Internet of Thing) technologies have been developed especially, beacon-one of the IoT services has been applied as plenty of types and forms both domestically and internationally. However, notwithstanding expansion of current digital mobile technologies, it still remains as difficult for the individual to track the information about all the local festivals and to fulfill the tourists' needs of enjoying festivals given the weak strategic approaches and advertisement activities. Furthermore, current festival-related mobile applications don't function well as delivering information and have numerous contents issues (e.g. ways of information delivery within the festival places, independent application usage for each festival, one time usage due to one time event). This research, based on the background mentioned above, aims to develop the local festival mobile application and data analysis system applying beacon technology. First of all, three algorithms were developed, namely, 'festival crowding algorithm', 'visitor stats algorithm', and 'customized information algorithm', and then beta test was followed with the developed application and data analysis system. As a result, they could form the database of visitors' types and behaviors, and provide functions and services, such as personalized information, waiting time for festival contents, and 'hot place' function. Besides, in Google Play store, they also got the titles given with more than 13,000 downloads within first three months and as the most exposed application related with festivals; and, thus, got credited with their marketability and excellence. This research follows this order: chapter 2 shows the literature review of local festival related with technology development, beacon service, and festival application. In Chapter 3, design plans and conditions are described of developing local festival mobile application and data analysis system with beacon. Chapter 4 evaluates the results of the beta performance test to verify applicability of the developed application and data analysis system, and lastly, chapter 5 explains the conclusion and suggests the future research.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.25 no.1
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• pp.343-361
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• 2014

This research was conducted to measure the satisfaction level of users and the service quality of specialized libraries in the digital environment. 289 users of 24 government-funded institutes were divided into humanity/social science area and science/technology area for comparison. Using seven hypotheses, the tests were conducted between three independent variables, service quality, space quality, and information quality and one dependent variable, user satisfaction. It was concluded that the competence and quality of the librarian, library homepage, and quality of information are most critical for user satisfaction. Suggestions are made: an improvement in the service quality and specialization of the librarian's skills, a need for librarian's courtesy education, a provision of differentiated and specialized quality of information, an easy access to the library homepage, and supports on the contents and information search.

• Journal of KIISE:Information Networking
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• v.37 no.6
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• pp.483-488
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• 2010

Due to the prevalence of various mobile devices and wireless broadband networks, there has been a significant increase in interest and demand for multimedia streaming services. Moreover, the user can service the participatory video broadcasting service in the mobile device and it can be used to deliver the real-time news and more variety information in the user side. Live multimedia service of user participation should consider not only the video quality but also the delay bounds and continuity of video playback for improving the user perceived QoS (Quality of Service) of streaming service. In this paper, we propose an adaptive rate control scheme, called DeBuG (Delay Bounds Guaranteed), to guarantee the delay bounds and continuity of video playback for the real-time streaming in mobile devices. In order to provide those, the proposed scheme has a quality adaptation function based on the transmission buffer status and network status awareness. It also has a selective frame dropper, which is based on the media priority, before the transmission video frames. The simulation results demonstrate the effectiveness of our proposed scheme.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.10
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• pp.2429-2440
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• 2015

This paper introduces an online collaboration infrastructure in order to build a nationwide collaboration ecosystem in research and education areas. The proposed infrastructure involves domestic research institutes, education institutions and related commercial service vendors. It also includes various systems and services which can promote their online collaboration. Especially it provides the user authentication framework based on identity federation which facilitates the share of various ICT resources across different organizations, thereby enabling the efficient R&D collaboration. We deploy and validate the user authentication framework of the infrastructure on KREONET.

• Journal of KIISE:Information Networking
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• v.33 no.3
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• pp.218-230
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• 2006

The enterprise service network is composed of internet, intranet and DMZ. The design rationale of Mobile IP is providing of seamless mobility transparency without regarding to the type of network topology and services. However, Mobile IP specification does not include the mobility support in case of using VPN environment and define the access scenarios to get into the VPN intranet without disturbing existing security policy. In this paper, we propose an authentication method using AAA infrastructure and keying material exchange to enable an user in internet to be able to access the intranet through the VPN gateway. Finally, performance analysis for the proposed scheme is provided.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.458-459
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• 2021

Recently, researches using deep learning technology based on Wi-Fi fingerprints have been conducted for accurate services in indoor location-based services. Among the deep learning models, an RNN model that can store information from the past can store continuous movements in indoor positioning, thereby reducing positioning errors. At this time, continuous sequential data is required as training data. However, since Wi-Fi fingerprint data is generally managed only with signals for a specific location, it is inappropriate to use it as training data for an RNN model. This paper proposes a path generation method through prediction of a moving path based on Wi-Fi fingerprint data extended to region data through clustering to generate sequential input data of the RNN model.