• Journal of Digital Contents Society
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• v.15 no.3
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• pp.413-423
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• 2014

Recently, cloud computing has been affecting academic information system buildup. When university academic affairs information system is designed with cloud computing, it is very important to estimate the adequate processing capacity for the cloud computer taking into account a waste of resources and the quality of service. Cloud computer's processing capacity to meet the quality of service expected by users should be predicted based on users' transaction patterns and resource requirements characteristics. In this paper, we analyze actual traffic patterns occurring in university academic affairs business and propose a method to calculate the optimal processing capacity for cloud computer to satisfy the given average response time. To justify our research, we apply the research results to a real university academic affairs business case and obtain the optimal processing capacity for the integrated academic affairs business.

• Journal of Digital Convergence
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• v.15 no.8
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• pp.203-212
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• 2017

The National Housing Bond Information Relay System is a representative financial information relay system in which institutions are connected with center system. A centralized structure is expensive to construct and operate center, and there is a problem that all networks are disconnected when a failure occurs in the center system. In this paper, we propose the national housing bond information relay system model based on Blockchain technology that can process information safely and efficiently. The proposed model constructs a Blockchain network so that each institution that processes the national housing bond information can transmit information safely, and each institution manages the same distributed ledge by a smart contract. The proposed model can reduce the cost because it can process complicated national housing bond transaction information without a relay center, and a network usage and disk usage decreased by 1.7% and 8.53%.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2004.11a
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• pp.557-563
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• 2004

Korean cadastral system keeps graphical maps made by the plane table method from 1910's. The fact is that the graphical maps grafted on paper cover about 95% of the whole land (MOGAHA, 1999). The needs are arising to transform the graphical cadastre to a digital one in compliance with modem technologies. Korean government has already digitise the old maps until last year. A nation-wide land information system, Parcel-based Land Information System, was established upon the digitised map database. However, the accuracy of the digitised coordinates hardly meet the citizens' needs because it cannot exceed that of the paper maps. The definite solution will be surveying all the parcels again and making new digital maps. However, commencing a project for resurveying 34 million parcels will require enormous amount of time and manpower. The strategy should be dividing the country into county-wise or grid-wise pieces and surveying one piece by one piece. Municipal governments of counties, cities or urban districts will be the propelling bodies of the project but the costs will hardly be affordable at a time. For the purpose of resolving the financial problem, each municipality can split its own project into smaller pieces by year base. There is accordingly a great possibility to create inconsistency over the divided project areas caused by different techniques applied, different equipments used and/or mismatches between the project borders. It provides some merits at the same time. The people in project completion areas will be satisfied with the enhanced accuracy and feel safe in land transaction and, in turn, soundly improves overall nation-wide economic situation. Therefore, the main issue of the thesis shows how to make the cadastral re-survey project scalable. Guidelines for how to perform the projects will be derived from a experienced case.

• Journal of Digital Convergence
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• v.5 no.2
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• pp.99-108
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• 2007

As the transaction using mail order sales mediating sites such as Auction rapidly increase, consumer damages are also increasing. Therefore, in this study, the methods to remedy consumer damages occurring from transactions through mail order sales mediating sites such as the Payment Deposit System, the systems to resolve disputes without any litigation and the systems in relation to the Consumer Basic Act have been examined and measures to improve the systems have been groped. For the transactions using mail order sales intermediating sites, it is necessary to impose more responsibility on mail order sales mediators although the responsibility may not be required to be at the level of mail order sellers such as internet shopping malls. Therefore, institutional supports are necessary to effectively protect consumers in the transactions using mail order sales mediating sites and to induce damaged consumers to actively file claims for compensations. In relation to this, the Collective Dispute Mediation System and the Consumer Group Litigation System under the Consumer Basic Act may become good examples. The consumers who have been subject to the same or similar damages in the transactions using mail order sales mediating sites should also be allowed to participate in the Collective Dispute Mediation under the Consumer Basic Act or actively utilize the Consumer Group Litigation System. Also, it is desirable to reflect these systems on 'the Act on Consumer Protection in E-Commerce etc' so that these systems can also be directly applied to the transactions using mail order sales mediating sites.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.255-261
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• 2015

The use of games using smartphones have become universal, and the market share of MMORPG among various game genres shows an uptrend. However, MMORPG requires complex interface in view of the genre characteristics, and therefore, there are difficulties in building interface for efficient game play. This study analyzed game interface characteristics to suggest MMORPG game interface suitable for the mobile environment, and carried out a questionnaire survey evaluation on the usability of fight, exploration, character and transaction interfaces targeting 12 users. To quantitatively evaluate the subjective questionnaire survey results, this study analyzed a correlation between the characteristics of game interface and popularity using AHP. As a result, there was a close correlation between game selection & popularity and interface, and this study ascertained that interface development through game interface usability evaluation using AHP was possible.

• Journal of Digital Convergence
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• v.14 no.8
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• pp.105-113
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• 2016

This study analyzed and verified panel data based on CSMAR (China Stock Market & Accounting Research) DB from 2002 to 2014 in order to find out significant differences of conservative accounting before and after Chinese companies adopted international accounting standards. Financial changes in companies can occur at the point of change in accounting standards, and as the difference would affect conservative accounting, it is important to understand conservatism in financial transaction. In this study, earnings per share and price, return on equity, and debt ratio were measured. As a result of analysis, conservative accounting has increased after the introduction of accounting standards, and as the debt ratio was higher, the proportion of conservative accounting was higher. Thus, at a certain point of change in accounting standards, companies apply conservative accounting in order to improve reliability in an unstable future financial environment. Therefore, this study is expected not only to practically influence business practice in changes in GAAP rules but also to provide useful guidance for future studies.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.379-386
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• 2014

In this paper, the processing speed of Grabcut algorithm in order to efficiently improve the GPU (Graphics Processing Unit) for processing the data from the method. Grabcut algorithm has excellent performance object detection algorithm. Grabcut existing algorithms to split the foreground area and the background area, and then background and foreground K-cluster is assigned a cluster. And assigned to gradually improve the results, until the process is repeated. But Drawback of Grabcut algorithm is the time consumption caused by the repetition of clustering. Thus GPGPU (General-Purpose computing on Graphics Processing Unit) using the repeated operations in parallel by processing Grabcut algorithm to effectively improve the processing speed of the method. We proposed method of execution time of the algorithm reduced the average of about 95.58%.

• Journal of Digital Convergence
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• v.15 no.12
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• pp.293-301
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• 2017

Most new products not only suddenly disappear in the market but also quickly cannibalize older products. Under such a circumstance, retailers may have too much stock, and customers may be faced with difficulties discovering products suitable to their preferences among short life cycle products. To address these problems, recommender systems are good solutions. However, most previous recommender systems had difficulty in reflecting changes in customer preferences because the systems employ static customer preferences. In this paper, we propose a recommendation methodology that considers dynamic customer preferences. The proposed methodology consists of dynamic customer profile creation, neighborhood formation, and recommendation list generation. For the experiments, we employ a mobile image transaction dataset that has a short product life cycle. Our experimental results demonstrate that the proposed methodology has a higher quality of recommendation than a typical collaborative filtering-based system. From these results, we conclude that the proposed methodology is effective under conditions where most new products have short life cycles. The proposed methodology need to be verified in the physical environment at a future time.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.1-12
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• 2020

The purpose of this study is to explore the trend of blockchain technology through analysis of patents and news articles using text mining, and to suggest the blockchain policy agenda by grasping social interests. For this purpose, 327 blockchain-related patent abstracts in Korea and 5,941 full-text online news articles were collected and preprocessed. 12 patent topics and 19 news topics were extracted with latent dirichlet allocation topic modeling. Analysis of patents showed that topics related to authentication and transaction accounted were largely predominant. Analysis of news articles showed that social interests are mainly concerned with cryptocurrency. Policy agendas were then derived for blockchain development. This study demonstrates the efficient and objective use of an automated technique for the analysis of large text documents. Additionally, specific policy agendas are proposed in this study which can inform future policy-making processes.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.85-91
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• 2018

Most banks use only demographic information such as gender, age, occupation and address to segment customers, but they do not reflect financial behavior patterns of customers. In this study, we aim to solve the problems by using various big data in a bank and to develop customer segmentation method which can be widely used in many banks in the future. In this paper, we propose an approach of segmenting clustering blocks with bottom-up method. This method has an advantage that it can accurately reflect various financial needs of customers based on various transaction patterns, channel contact patterns, and existing demographic information. Based on this, we will develop various marketing models such as product recommendation, financial need rating calculation, and customer churn-out prediction based on this, and we will adapt this models for the marketing strategy of NH Bank.