• Journal of the Korean Institute of Intelligent Systems
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• v.18 no.1
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• pp.139-144
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• 2008

Generally, real system that is the object of decision-making is very variable and sometimes it lies situations with uncertainty. To solve these problem, it has used statistical methods as significance level, certainty factor, sensitivity analysis and so on. In this paper, we propose a method for fuzzy decision-making based on MFAC(Multiple Fuzzy Alpha Cut) to improve the definiteness of classification results with similarity evaluation. In the proposed method, MFAC is used for extracting multiple a ${\alpha}$-level with proximity degree at proximity relation between relative Hamming distance and max-min method and for minimizing the number of data which are associated with the partition intervals extracted by MFAC. To determine final alternative of decision-making, we compute the weighted value between extracted data by MFAC From the experimental results, we can see the fact that the proposed method is simpler and more definite than classification performance of the conventional methods and determines an alternative efficiently for decision-maker by testing significance of sample data through statistical method.

• Journal of Families and Better Life
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• v.32 no.3
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• pp.99-114
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• 2014

The purpose of this study is to investigate the relationship between moral cognitive distortion and peer bullying of children and adolescents. For this study, questionnaires on moral cognitive distortion and peer bullying were administered to 678 students in the 4th, 5th, 7th, 8th, 10th and 11th grades in elementary, middle and high schools located in the metropolitan area of Seoul. The data were analyzed through frequency analysis, mean and standard deviation, t-test, two-way ANOVA, Pearson's correlation and stepwise multiple regression analysis using SPSS Win 12.0. The main findings of this study are as follows: 1) While grade had a significant influence on the moral cognitive distortion of children and adolescents, gender did not. On bullying perpetration and bullying victimization, both gender and grade had a significant influence. 2) Moral cognitive distortion had a significant influence on peer bullying. More specifically, for elementary school students, the variables affecting bullying victimization and bullying perpetration were found to be worst-case-scenario thinking and other-blame thinking, respectively. For middle school students, victimization was affected most significantly by worst-case-scenario thinking, followed by gender; perpetration was most significantly affected by worst-case-scenario thinking. For high school students, victimization was affected most significantly by other-blame thinking, followed by gender; perpetration was most significantly affected by other-blame thinking.

• The KIPS Transactions:PartD
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• v.9D no.1
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• pp.1-10
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• 2002

Metadata is data about data that is used to mange data itself. As applications based on DBMS are increased, it is suggested that metadata model and metadata interchange model to manage metadata in DBMS. but metadata which is in the form of XML (eXtensible Markup Language) document is generally stored into RDBMS. Therefore In this paper, as for the method to store metadata of RDBMS into OODBMS, we design metadata model, metadata interchange model and implement new repository system. The metadata of RDBMS is translated into in the form of XML Document and integrated into XML Data Server on OODBMS, eXcelon and executes retrieval metadata information about RDBMS by XQL(XML Query Language). So It is possible to searchm edit a metadata. The metadata of XML documents stored in eXcelon is easily made to be printed in web browser by applying a XSL (extensible StyleSheets Language). So we can have a detail information about property of metadata in DBMS.

• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.471-478
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• 2009

The lung diseases classifying as one of the six incurable diseases in modern days are caused mostly by smoking and air pollution. Such causes the lung function damages, and results in malfunction of the exchange of carbon dioxide and oxygen in an alveolus, which the interest is augment with risk diseases of life prolongation. With this in the paper, we proposed a diagnosis method of lung diseases by applying parameters of voice analysis aiming at the getting the voice feature extraction. Firstly, we sampled the voice data from patients and normal persons in the same age and sex, and made two sample groups from them. Also, we conducted an analysis by applying the various parameters of voice analysis through the collected voice data. The relational significance between the patient and normal groups can be evaluated in terms of speech rates and intensity as a part of analized parameters. In conclusion, the patient group has shown slower speech rates and bigger intensity than the normal group. With this, we propose the method of voice feature extraction for lung diseases.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.5
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• pp.179-186
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• 2014

Current networks such as social network, web page link, traffic network are big data which have the large numbers of nodes and edges. Many applications such as social network services and navigation systems use these networks. Since big networks are not fit into the memory, existing in-memory based analysis techniques cannot provide high performance. Frontier-Expansion-Merge (FEM) framework for graph search operations using three corresponding operators in the relational database (RDB) context. FEM exploits an index table that stores pre-computed partial paths for efficient shortest path discovery. However, the index table of FEM has low hit ratio because the indices are determined by distances of indices rather than the possibility of containing a shortest path. In this paper, we propose an method that construct index table using high degree nodes having high hit ratio for efficient shortest path discovery. We experimentally verify that our index technique can support shortest path discovery efficiently in real-world datasets.

• The KIPS Transactions:PartD
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• v.16D no.6
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• pp.835-844
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• 2009

Today, most of all the query processors in the world generally use the 'Pipelining' method to acquire fast response time (first record latency) and less memory usage. Each of the operator nodes in the Query Execution Plan (QEP) provides Open(), Next(), and Close() functions for their interface to facilitate the iterator mechanism. However, the embedded database systems for the mobile devices, based on the FLASH memory, usually require a function like Previous(), which returns the previous records from current position. It is because that, in the embedded environment, the mobile devices cannot fully provide it main memory to store all the query results. So, whenever needed the previously read records the user (program) should re-fetch the previous records using the Previous() function: the BACKWARD data fetch. In this paper, I introduce the 'Direction Switching Problem' caused by the Previous() function and suggest 'Block-wise Skipping' method to fully utilize the benefits of the block-based data transfer mechanism, which is widely accepted by most of the today's relational database management systems.

• KIPS Transactions on Software and Data Engineering
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• v.3 no.9
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• pp.349-354
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• 2014

Since Hadoop which is the Big-data processing platform was announced, SQL-on-Hadoop is the spotlight as the technique to analyze data using SQL on Hadoop. Tajo created by Korean programmers has recently been promoted to Top-Level-Project status by the Apache in April and has been paid attention all around world. Despite a sensible change caused by Hadoop's appearance in DW market, researches of those performance is insufficient. Thus, this study has been conducted to help choose a DW solution based on SQL-on-Hadoop as progressing the test on comparison analysis of RDBMS and Tajo. It has shown that Tajo based on Hadoop is more superior than RDBMS if it is used with accurate strategy. In addition, open-source project Tajo is expected not only to achieve improvements in technique due to active participation of many developers but also to be in charge of an important role of DW in the filed of data analysis.

• The KIPS Transactions:PartD
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• v.15D no.4
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• pp.549-556
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• 2008

Web-based Enterprise Intranet System is developed Object-oriented programming language and data management is constructed using RDBMS. Between Object-oriented programming language and RDBMS bring about "Object-Relational Impedance Mismatch" due to heterogeneous paradigm. To solve this kinds of problems commonly use the ORM Framework that it is converting data between incompatible type systems in databases and object-oriented programming languages, uses complex mapping metadata. It causes difficult to develop and maintain because of inflexible in changes. This paper proposed persistence framework that solve the existing complexity of ORM framework and has more flexible in evolution of database table. This persistence framework is unnecessary meta information that connecting with entity of database table and the objects, it offers users convenience of maintenance and it allows far more flexible and affordable systems to be built because of automatically code generation. The result of testing based on the proposed persistence framework with Hibernate, iBATIS, It is similar response time with iBATIS and it has more about three times faster than Hibernate. But iBATIS has problems of mass data processing.

• Convergence Security Journal
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• v.11 no.2
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• pp.45-54
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• 2011

The purpose of this study is to investigate the causal relationships among social capital, job satisfaction, and organization commitment in the Korean Security Organizations. One hundred eight one questionnaires, with a 72.4% response rate from a convenient sample of 10 security organization guards, were utilized to study the relationships between research constructs. SPSS(12.0 version) were guard to analyze the unintentionality of research concepts and reliability test, and confirmatory factor analysis were performed. Factor analyses identified three internal dimensions of relational factor as superior relation. There are among results, first, the social capital is influencing to job satisfaction positively. second, the social capital is influencing to organizational commitment positively. third, the job satisfaction is influencing to organizational commitment positively.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.87-96
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• 2014

The first, this study analyzed empirically the effects of the ties(structural) and the trust(relational) between the clients(small and medium sized enterprises) and consultants on the consulting performance, the second, verified the moderating effects of the consultant's competence and the client's participation in the effect of the ties and the trust on the consulting performance. The result of empirical analysis was as follows. The ties and the competence based trust had a positive effects on the consulting performance. Meanwhile, the client's participation had no moderating effect, the consultant's competence moderated the effect of the ties and the trust on the consulting performance. From the above empirical analysis, we appreciated that the building of the strong ties and the trust between the client and consultant is very important to promote consulting performance with the enhancing the consultant's competence.