• The Korean Journal of Archival Studies
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• no.53
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• pp.201-228
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• 2017

Recently, public organizations have been improving the classification in order to introduce records management reference table in accordance with the act on the management of public archives. However, there is no system to mount the revised records management reference table, and there is a problem in usability. The purpose of this study is to design a system function to manage the classification which is the foundation of records management for public organizations. In order to design the function, interviews with the records management specialists of the five public organizations were conducted. Based on this, we have designed a multi-classification system registration function, a hierarchical structure setting function of records, and a record management standard management function.

• Journal of Korean Society of Archives and Records Management
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• v.5 no.2
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• pp.73-101
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• 2005

This study aims to identify the developing process of classification shemes for NGO records. And it chooses the KFEM(Korea Federation for Environmental Movenment) for case study, which is a representative NGO of Korea. This study proposes the classification principles in the form that the function classification and subject classification are combined. The development model of function classification schemes on the KFEM records is based on the Australian Standard Work Process Analysis for Recordkeeping(AS 5090) and the DIRKS (Designing and Implementing Recordkeeping Systems) methodology. Literature review, interviews, work process analysis, and questionnaire surveys have been employed as research methodology.

• MISULJARYO - National Museum of Korea Art Journal
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• v.96
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• pp.181-208
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• 2019

This paper presents a new classification and code system on the Archives of the Government-general Museum of Joseon in the National Museum of Korea. Three points were noted that since the Museum belonged to the Government-general of Joseon, the classification system of the Archives should be established to comply with the Archives system of the Government-general of Joseon; based on the concept of the functional provenance, it is necessary to establish a classification system in accordance with the organization structure of the Government-general Museum of Joseon; a systematic and simple classification codes should be given based on the classification system to improve the convenience of searching and using the official document. The classification system and its code are proposed in the order of major function, medium function, small function, and detailed function. The major function of the Archives is 'A-Educational affairs', medium function 'Museum.' The small function may be divided into General affairs (01), Temple (02), Scenic Spot and Natural Monument (03), Historical Site (04), and Museum (05). The detailed function and detailed sub-functions are categorized by the various work assignments in each work units. I hope that this new classification system will make a contribution to organizing and utilizing the Archives of the Government-general Museum of Joseon in the National Museum of Korea.

• Journal of the Korean Data and Information Science Society
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• v.26 no.6
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• pp.1557-1563
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• 2015

Multiclass classification is typically performed using the voting scheme method based on combining binary classifications. In this paper we propose multiclass classification method for large data, which can be regarded as the revised one-vs-all method. The multiclass classification is performed by using the hat matrix of least squares support vector machine (LS-SVM) ensemble, which is obtained by aggregating individual LS-SVM trained on each subset of whole large data. The cross validation function is defined to select the optimal values of hyperparameters which affect the performance of multiclass LS-SVM proposed. We obtain the generalized cross validation function to reduce computational burden of cross validation function. Experimental results are then presented which indicate the performance of the proposed method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.12
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• pp.5709-5714
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• 2011

The purpose of this study was to investigate the utility of function classification system in children with cerebral palsy (CP). For this, relationship among the Manual Ability Classification System (MACS), the Gross Motor Function Classification System (GMFCS), and the functional status (WeeFIM) in children with cerebral palsy form September 2008 to August 2010. The participants was 217 children with CP in this study. The 217 children were evaluated by using the MACS for their hand function and by using the GMFCS for their motor function. The functional status were assessed by using the Functional Independence Measure of Children (WeeFIM). The GMFCS have a significant correlation with total score and domains of WeeFIM (p<.05) There were a significant correlation with total score and domains of WeeFIM (p<.05) except no significancy with communication domain in dyskinesia type. The highest number of participants were in level 1 (20.3) and level 5 (40.6%) for GMFCS. For MACS, the highest number of participants were level 2 (48.8%) and level 5 (16.6%). The function classification of GMFCS and MACS in practice will provide usefulness for assessment of function in children with CP.

• Journal of Korean Society of Archives and Records Management
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• v.17 no.2
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• pp.129-163
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• 2017

This study investigated the administrative history, from the introduction of the "Standard of Government Function Classification" (BRM) to its development and application. Through the results of the survey, the causes of the problems observed in the current government's functional classification system were revealed. The current survey examined the functional classification scheme of the central government and local governments on the "cultural heritage" policy area (9 major functions, 59 middle functions, 297 small functions, and 1,287 unit tasks). It confirmed the problem of the separation of functions between central and local governments as well as other problems. Among the problems, this study proposed an improvement model through four representative cases such as the "designation of cultural heritage." In order to reorganize the "Standard of Government Function Classification," it is necessary to design a business function with the reproduction of tasks, establish a system for management and operation in order to maintain the consistency of the business function, educate users, and suggest continuous improvement.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.59-64
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• 2010

To improve system performance, we apply the concept of membership function to Variance Considered Machines (VCMs) which is a modified algorithm of Support Vector Machines (SVMs) proposed in our previous studies. Many classification algorithms separate nonlinear data well. However, existing algorithms have ignored the fact that probabilities of error are very high in the data-mixed area. Therefore, we make our algorithm ignore data which has high error probabilities and consider data importantly which has low error probabilities to generate system output according to the probabilities of error. To get membership function, we calculate sigmoid function from the dataset by considering means and variances. After computation, this membership function is applied to the VCMs.

• Journal of Korean Society for Geospatial Information Science
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• v.21 no.2
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• pp.19-25
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• 2013

Recently, the high-resolution satellite images is used the land cover and status data for the natural resources or environment management very helpful. The SVM algorithm of image processing has been used in various field. However, classification accuracy by SVM algorithm can be changed by various kernel functions and parameters. In this paper, the typical kernel function of the SVM algorithm was applied to the KOMPSAT-2 image and than the result of land cover performed the accuracy analysis using the checkpoint. Also, we carried out the analysis for selected the SVM kernel function from the land cover of the target region. As a result, the polynomial kernel function is demonstrated about the highest overall accuracy of classification. And that we know that the polynomial kernel and RBF kernel function is the best kernel function about each classification category accuracy.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.137-146
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• 2023

The dropout of university freshmen is a very important issue in the financial problems of universities. Moreover, the dropout rate is one of the important indicators among the external evaluation items of universities. Therefore, universities need to predict dropout students in advance and apply various dropout prevention programs targeting them. This paper proposes a method to predict such dropout students in advance. This paper is about a method for predicting dropout students. It proposes a method to select dropouts by applying logistic regression using a shift sigmoid classification function using only quantitative data from the first semester of the first year, which most universities have. It is based on logistic regression and can select the number of prediction subjects and prediction accuracy by using the shift sigmoid function as an classification function. As a result of the experiment, when the proposed algorithm was applied, the number of predicted dropout subjects varied from 100% to 20% compared to the actual number of dropout subjects, and it was found to have a prediction accuracy of 75% to 98%.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.317-324
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• 2010

The purpose of this study was to examine the validity of the Manual Ability Classification System (MACS) by analysing of relation between MACS and Jebsen-Talyor Hand Function Test. The concurrent validity was examined by calculation of correlation between MACS and Jabsen-Talyor Hand Function test and the discriminant validity was examined by measurement of hand function difference according to MACS level. For this, eighty-one children with spastic cerebral palsy were employed in this study. The children were evaluated by using the MACS and Jebsen-Taylor Hand Function Test for their hand function. There were a significant correlation between the MACS and Hand function (r = .870, p < .05). The good correlation between the MACS and subtest of Jabsen-Talyor Hand function (p < .05). The hand function according to the MACS level were different significantly (p < .05). The MACS is valid classification system for assessment of hand function of children with cerebral palsy. The MACS in practice will provide usefulness for assessment of hand function in children with spastic cerebral palsy.