• Journal of Korean Library and Information Science Society
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• v.49 no.3
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• pp.55-75
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• 2018

The purpose of this study is to identify characteristics of secondary school teachers' perceptions and experiences of school libraries and to suggest strategies for its' activation. In order to achieve this aim, the questionnaire survey was conducted for 229 secondary school teachers who participated in K university qualification training in 2017. As a result, they recognize that school libraries are an essential facility and that continuous support and investment are needed. They think that the effectiveness of the school library is very helpful for creating a leisure and cultural life and for stimulating reading atmosphere and education, and this perception is stronger at lower ages. The number of school library use of them is as low as once a month, and the purpose of use is mainly for cultivation and leisure. The discomfort of the school library is mostly due to lack of materials and space for them. In particular, they have a lack of knowledge and necessity about the method of library-based instruction and insufficient preparation time and poor materials. Teachers are highly aware of the need and utility of training, and prefer training with peers. Therefore, it is necessary to develop strategies such as remodeling space and increasing collections for their study and instruction, and foster peer supervision so that they can actively utilize school library in subjects management.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.123-140
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• 2009

Collaborative filtering recommends products using customers' preferences, so it cannot recommend products to the new customer who has no preference information. This paper proposes a novel approach to new customer recommendations using the social network analysis which is used to search relationships among social entities such as genetics network, traffic network, organization network, etc. The proposed recommendation method identifies customers most likely to be neighbors to the new customer using the centrality theory in social network analysis and recommends products those customers have liked in the past. The procedure of our method is divided into four phases : purchase similarity analysis, social network construction, centrality-based neighborhood formation, and recommendation generation. To evaluate the effectiveness of our approach, we have conducted several experiments using a data set from a department store in Korea. Our method was compared with the best-seller-based method that uses the best-seller list to generate recommendations for the new customer. The experimental results show that our approach significantly outperforms the best-seller-based method as measured by F1-measure.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.1
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• pp.133-146
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• 2015

Ever sophisticated e-finance fraud techniques have led to an increasing number of reported phishing incidents. Financial authorities, in response, have recommended that we enhance existing Fraud Detection Systems (FDS) of banks and other financial institutions. FDSs are systems designed to prevent e-finance accidents through real-time access and validity checks on client transactions. The effectiveness of an FDS depends largely on how fast it can analyze and detect abnormalities in large amounts of customer transaction data. In this study we detect fraudulent transaction patterns and establish detection rules through e-finance accident data analyses. Abnormalities are flagged by comparing individual client transaction patterns with client profiles, using the ruleset. We propose an effective flagging method that uses decision trees to normalize detection rules. In demonstration, we extracted customer usage patterns, customer profile informations and detection rules from the e-finance accident data of an actual domestic(Korean) bank. We then compared the results of our decision tree-normalized detection rules with the results of a sequential detection and confirmed the efficiency of our methods.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.4
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• pp.933-940
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• 2015

IT environments such as IoT, SNS, BigData, Cloud computing are changing rapidly. These technologies add new technologies to some of existing technologies and increase the complexity of Information System. Accordingly, they require enhancing the security function for new IT services. Information Security Pre-inspection aims to assure stability and reliability for user and supplier of new IT services by proposing development stage which considers security from design phase. Existing 'Information Security Pre-inspection' (22 domains, 74 control items, 129 detail items) consist of 6 stage (Requirements Definition, Design, Training, Implementation, Test, Sustain). Pilot tests were executed for one of IT development companies to verify its effectiveness. Consequently, for some inspection items, some improvement requirements and reconstitution needs appeared. This paper conducts a study on activation of 'Information Security Pre-inspection' which aims to construct prevention system for new information system. As a result, an improved 'Information Security Pre-inspection' is suggested. This has 16 domains, 54 inspection items, 76 detail items which include some improvement requirements and reconstitution needs.

• Journal of Navigation and Port Research
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• v.39 no.3
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• pp.199-207
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• 2015

In ports of Korea, the marine traffic flow is congested due to a large number of vessels coming in and going out. In order to improve the safety and efficiency of these vessels, South Korea is operating with a Vessel Traffic Service System, which is monitoring its waters for 24 hours. However despite these efforts of the VTS (Vessel Traffic Service) officers, collisions are occurring continuously, the risk situation is analyzed that occurs once in about 20 minutes, the risk may be greater. It investigated to reduce these accidents by providing a safety standard for collision danger in a timely manner. Thus, this study has developed a risk prediction module to predict risk in advance. This module can avoid collision risk to adjust the speed and course of ship using a risk evaluation model based on ship operator's risk perspective. Using this module, the ship operators and VTS officers can easily be identified risks in complex traffic situations, so they can take an appropriate action against danger in near future including course and speed change. To verify the effectiveness of this module, this paper predicted the risk of each encounter situation and confirmed to be capable of identifying a risk changes in specific course and speed changes at Busan coastal water.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2014.06a
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• pp.183-185
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• 2014

The purpose of this paper aims at contributing to the national economic development through global competitiveness enhancement by marine finance's hub and marine logistics cluster by finance specialization and finance support as a creative-type service industry in global shipping port logistics. This study adopted the integrated approach and applied it to policy implementation to achieve the effectiveness. Creative-type marine finance development stages as a tool of policy implementation and the guide line for the time of policy implementation are followed by Stage 1(Construction & Growth Policy) for 2013~2016, Stage 2(Forstering & Activation Policy) for 2017~2019) and Stage 3(Continuous Development Policy) after 2020 until its completion. Korea has the inferiority over the competitiveness in global marine finance and needs a strategic approach to secure the liquidity of marine finance; interim, Islamic finance has been come to the force as a new alternative in financial transaction being accompanied by a spot transaction since the crisis of global finance. In order to create a potential slack of Korea in marine finance practice, in addition, this study suggests a consortium with the circle of Islamic finance as a clue of an easier policy implementation at the beginning stage.

• The KIPS Transactions:PartA
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• v.13A no.1 s.98
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• pp.45-52
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• 2006

To perform on-line maintenance for Distributed Information System, it is indispensable to disseminate files to participant nodes in the network. When users' requests for file deployment occur simultaneously in a short period a deployment server falls into overload phase, which is often called Flash Crowds. h common solution to avoid Flash Crowds is to increase hardware capacity. In this paper, we propose a software solution based on P2P, which does not cost any additional expense. In the proposed solution, nodes in the network are grouped into subnetworks one of which is composed of only neighboring nodes. In each subnetwork, copies of deployment files can be transferred to each other. Consequently, it brings about the effect of load balancing in deployment server. To raise the effectiveness, target files for deployment are packed into one package. Before being transferred, each package is divided into multiple equal-sized segments. A deployment server in a normal phase transmits a package requested from nodes in segment units. However a deployment server is overloaded, if segments already exist in the subnetwork participant nodes in the subnetwork receive necessary segments from neighboring nodes. In this paper, we propose data structures and algorithm for this approach and show performance improvement through simulation.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.3
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• pp.99-110
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• 2015

Internet-of-Things(IoT) is the computing paradigm converged with different technologies, where diverse devices are connected via the wireless network, acquire environmental information from their equipped sensors, and actuated. IoT applications typically provide smart services to users by interacting with multiple devices connected to the network and are designed by integrating multiple technologies such as sensor network, communication technologies, and software engineering. Moreover, since the concept of IoT has been introduced recently, most of the researches are in the beginning step, which is too early to be practically applied. Due to these facts, developing IoT application results in unconventional technical challenges which have not been observed in typical software applications. And, it is not straightforward to apply conventional project guidelines to IoT application development projects. Hence, there can be many difficulties to successfully complete the projects. Therefore, for successful completion of the projects, we analyze technical challenges occurring in all phases of the project lifecycle, i.e. project preparation stage and development stage. And, we propose the effective solutions to overcome the issues. To verify identified issues and presented solutions, we present the result of applying the solutions to an IoT application development. Through the case study, we evaluate how reasonable the unconventional technical issues are generated and analyze effectiveness of applying the solutions to the application.

• The KIPS Transactions:PartB
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• v.15B no.5
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• pp.397-406
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• 2008

Despite the effectiveness of oriental medical practice in the diagnosis of symptoms and providing cure to it, the preferences in western medicinal values is socially prevalent. The diagnosis of a disease using western medicinal practices provides us with an objective diagnostic result, however, decisions by oriental doctors are based on their heuristic intuitions developed by practice and experience. Objective solutions for the cure of symptoms using oriental medical therapy can have a high impact on the world market. Therefore, development of diagnostic machines based on oriental therapy can enhance the Ocular Inspection which is evaluated as one of the best diagnostic treatment among Oriental Medical Science, is not researched much compared to other diagnoses. Because there is no color diagnosis rules for digital machines to analyze the actual color, looking at the person's face color is one of the most important components to diagnose the disease or illness. The thesis proposes the implementation of absolute observing a person's face color standards of the color settings for objective diagnosis. As a results, comparative digital color analysis for observing a person's face color can be the most effective rule based Color scheme system to diagnose disease. A standard solution for the researching conditions is suggested to reduce the variable which may occur depending on the differences between the researching conditions.

• The KIPS Transactions:PartA
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• v.15A no.5
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• pp.249-258
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• 2008

DCDN(Distributed Contents Delivery Network) as known the next generation of CDN is to exploit the resource of client PCs based on P2P technology to provide low cost, high scalability and high speed services when contents are delivered. This DCDN has two problems. One is that DCDN can't provide a sustainable service because client PCs are on/off irregularly and their on times tend to focus on specific time zone, and the other is that client PCs can not be accessed outside in DCDN if they are behind NAT or Firewall. In this paper, we present a distributed contents delivery network based on home gateway for a sustainable service. If home gateway is used in DCDN instead of client PC, it can solve the two existing problems of DCDN. That is, home gateway can provide a sustainable service because it is on during all day and it is not behind NAT and Firewall. The proposed method is implemented with ASUS WL-500GP, a wired/wireless router. Experimental results show the effectiveness of the proposed method compared to the existing method of DCDN.