• Journal of Digital Convergence
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• v.14 no.7
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• pp.431-437
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• 2016

Since the game is industrialized in the 1970s, efforts to study attributions throughout the definition of the game has been continued. This study analyzed the importance of 7 attributions including rule, goal, conflict, activity, decision-making, voluntary, art that were collectively organized by Katie Salen & Eric Zimmerman using AHP. For this, we analyzed the data after subjected to pair-wise comparison survey through the gaming industry experts, and the result was confirmed that match the analysis model comparing with the survey of game players. In this analysis of the importance, Goal(24%) is the greatest important in the seven factors mentioned above. Art(16%),Voluntary(15%), Rule(13%) followed after it. So, We can find out which attributes are considered important in the game development process through this Research.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.225-236
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• 2013

The voice recognition has been made continuously. Now, this technology could support even natural language beyond recognition of isolated words. Interests for the voice recognition was boosting after the Siri, I-phone based voice recognition software, was presented in 2010. There are some occasions implemented voice enabled services using Korean voice recognition softwares, but their accuracy isn't accurate enough, because of background noise and lack of control on voice related features. In this paper, we propose a sort of multi-purpose preprocessor to improve this situation. This supports Keyword spotting in the continuous speech in addition to noise filtering function. This should be independent of any voice recognition software and it can extend its functionality to support continuous speech by additionally identifying the pre-predicate and the post-predicate in relative to the spotted keyword. We get validation about noise filter effectiveness, keyword recognition rate, continuous speech recognition rate by experiments.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.4
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• pp.59-68
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• 2009

This paper addresses a hybrid multi-focus image fusion scheme using the recent curvelet transform constructions. Hybridization is obtained by combining the MS fusion rule with a novel "copy" method. The proposed scheme use MS rule to fuse the m most significant terms in spectrum of an image at each decomposition level. The scheme is dubbed in this work as m-term fusion in adherence to its use of the MSC (most significant coefficients) in the transform set at any given scale, orientation, and translation. We applied the edge-sensitive objective quality measure proposed by Xydeas and Petrovic to evaluate the method. Experimental results show that the proposed scheme is a potential alternative to the redundant, shift-invariant Dual-Tree Complex Wavelet transforms. In particular, it was confirmed that a 50% m-term fusion produces outputs with no visible quality degradation.

• Communications of Mathematical Education
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• v.24 no.3
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• pp.503-523
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• 2010

The current mathematics curriculum are consist of the following domains: 'Characteristics', 'Objectives', 'Contents', 'Teaching and learning method', and 'Assessment'. The mathematics standards which students have to learn in the school are presented in the domain of 'Contents'. 'Contents' are consist of the following sub-domains: 'Number and Operation', 'Geometric Figures', 'Measures', 'Probability and Statistics', and 'Pattern and Problem-Solving' (Elementary School); 'Number and Operation', 'Geometry', 'Letter and Formula', 'Function', and 'Probability and Statistics' (Junior and Senior High School). These sub-domains of 'Contents' are dealing with mathematical subjects, except 'Problem-Solving' at the elementary school level. In this study, the sub-domain of 'mathematical process' was suggested in an equal position to the typical sub-domains of 'Contents'.

• Journal of Environmental Policy
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• v.14 no.3
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• pp.95-118
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• 2015

The 2015 Agreement, an initial architect of the Post-2020 Regime, is expected to be adopted at the twenty-first session of the Conference of Parties to be held in Paris in 2015. We discussed key characteristics of the Post-2020 Regime and applications of differentiation which is most contentious issue in the Post-2020 negotiation. In the Post-2020 Regime, automatic ambition increases of Parties could be accomplished through applications of the circular nature of Intented Nationally Determined Contributions (INDC) as well as the progression of mitigation efforts. In terms of differentiation, it would be better to advocate a new method to applying differentiation in the Post-2020 Regime taking into account our own national circumstances. Specifically, promotion of self-differentiation which fits nearly with the philosophy of INDC could be an alternative. In order to promote self-differentiation, rules to apply self-differentiation needs to be devised, and the purpose of such rules should be the ambition increase.

• Journal of KIISE:Databases
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• v.32 no.1
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• pp.24-42
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• 2005

Characteristics of biological data including genome sequences are heterogeneous and various. Although the need of management systems for genome sequencing which should reflect biological characteristics has been raised, most current biological databases provide restricted function as repositories for biological data. Therefore, this paper describes a management system of nucleotide sequences at the level of biological laboratories. It includes format transformation, editing, storing and retrieval for collected nucleotide sequences from public databases, and handles sequence produced by experiments. It uses BSML based on XML as a common format in order to extract data fields and transfer heterogeneous sequence formats. To manage sequences and their changes, version management system for originated DNA is required so as to detect transformed new sequencing appearance and trigger database update. Our experimental results show that applying active trigger rules to manage changes of sequences can automatically store changes of sequences into databases.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.691-698
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• 2006

The companies need the enterprise-wide support environment to build the competency to gather VOM(Voice of Market) in the process of preparing and implementing the strategy and to help establishing and managing the business process in order to secure the continuous competitive edge The enterprise-wide support environment to establish, operate, improve and evaluate the business process must be carried out. In this paper we define the method to define process and business rule in order to enable accurate execution of the process. Furthermore, collection and refection of accurate data concerning the competency of individuals, the subjects of the process execution, allows prevention of weakness of the process execution result and is the basis for identifying the areas of improvement. Therefore, high visibility can be attained through the work knowledge and processes presented in rules, and it can help firmly establish the process centered work culture (or system) in the organization by process improvement strictly based on data.

• Journal of Korean Society of Transportation
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• v.24 no.5 s.91
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• pp.19-33
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• 2006

This paper presents the results of an experimental study on the application of NTCIP protocol to Korean traffic signal control system. For this study the communication Protocol of the existing traffic signal control system was adjusted to meet NTCIP standard. Management information base for Korea real-time traffic signal control system, message library of OER, traffic control center management software supporting SNMP/SFMP Protocol, and agent softwares for local controllers were developed during the experimental study. The applicability test of the adjusted system by NTCIP standard was performed. Fifty eight Percent of communication packets were lost at 2.400bps communication speed, which made the operation impossible. The experimentations with communication speeds 4,800bps and 9,600bps did not cause problems. In conclusion, to apply the NTCIP standard to domestic real-time traffic control system, communication environments need to be upgraded to 4,800bps or higher.

• Journal of the Korean Society for Library and Information Science
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• v.51 no.1
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• pp.147-174
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• 2017

Open Access (OA) policy to scholarly publications from publicly funded research goes toward making a law at the national level. The purpose of this study is to suggest the ways of improving laws and regulations for OA of scientific publications from national R&D projects. For that purpose, this study analyzed cases of USA, Spain, Germany, and France which have already legislated OA related laws and regulations. Based on the results, the followings were proposed: 1) to unify definitions of research outcomes and to include research papers to the definition. 2) to strengthen OA obligations by amending "Act On The Performance Evaluation And Management Of National Research And Development Projects, Etc." by to specify related articles about submission, making public, enrolling, deposition, and possession of research papers, and 3) to revise administrative rules and "Regulations on Management of National Research and Development Projects" which common to all administrative according to amending the law.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.565-573
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• 2017

The ex-post evaluation of governmental crisis management is an important issues since it is necessary to prepare for the future disasters and becomes the cornerstone of our success as well. In this paper, we propose a data cube model with data mining techniques for the analysis of governmental crisis management strategies and ripple effects of foot-and-mouth(FMD) disease using the online news articles. Based on the construction of the data cube model, a multidimensional FMD analysis is performed using on line analytical processing operations (OLAP) to assess the temporal perspectives of the spread of the disease with varying levels of abstraction. Furthermore, the proposed analysis model provides useful information that generates the causal relationship between crisis response actions and its social ripple effects of FMD outbreaks by applying association rule mining. We confirmed the feasibility and applicability of the proposed FMD analysis model by implementing and applying an analysis system to FMD outbreaks from July 2010 to December 2011 in South Korea.