• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.15-37
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• 2013

The purpose of this study is to develop a faceted classification that enables the conceptualization and the organization of Korean food information. 23,470 terms were collected, categorized, and analyzed from the table of contents in 776 monographs and directory headings in portal sites related to Korean food. In order to develop the Korean food classification, common properties were analyzed in the process of categorizing terms. Then basic facets and subfacets were defined and assigned, and hierarchies among facets and concepts, citation orders, and notations were decided. As a result, the classification scheme consisted of 16 basic facets and 85 subfacets. The citation order of facets was proposed in order of Personality facet (kinds of dishes), Matter facet (materials, cooking utensils/equipment/containers, and nutrients), Energy facet (cooking processes and techniques, eating sense, type of cooking, table services, and agents of cooking), Space facet (countries/ethnic groups/geography, and eating places), Time facet (situation/purposes, season, time of meals, periods, and ages). The result of this study will be used for organizing, searching, retrieving, and providing Korean food information effectively around the world. Also, it will provide a foundation for developing subject-oriented classification using facet analysis in other disciplines.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.2
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• pp.139-163
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• 2024

This study aims to analyze classification systems used in the public sector, collected based on legislation, and to improve the classification system for public records. From the Korean Law Information Center, 375 legislative clauses were searched, revealing about 80 classification systems. These systems were initially divided into lists, tables, and hierarchical classifications. Six types of classification system uses were proposed after combining three management types and two system functions. Among these models, classification systems used for core operations in public agencies often had the same entity as both developer and user. While systems adopted from other institutions were often modified as needed, they were predominantly used for reference tasks rather than core operations. However, in records management, crucial tasks such as record classification and disposal commonly use unmodified classification system items developed and managed by other agencies. Consequently, this study proposes that structural improvements are necessary for the record classification system. It suggests developing dedicated classification systems to support core functions or modifying existing systems and also applying records management disposal standards and guidelines to other relevant legislative provisions.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.7
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• pp.657-667
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• 2015

With development of technology and increase of commercial demand for unmanned aerial system(UAS), the related regulation has been prepared and complemented with the advanced countries such as Unite States and European Union(EU). However it is difficult for regulation to cover all areas of UASs practically since UASs have been developed in a variety of configurations and performance depending on their purpose. Therefore the reasonable criteria for the classification of UASs and their category should be suggested before development of the regulation. For this reason, many countries have been studying the standard for UASs classification and International Civil Aviation Organization(ICAO) makes an effort to prepare the international standards. In this paper, the new classification scheme which can complement domestic regulation is suggested based on investigation of the global trend of UAS classification and their researches.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.11
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• pp.146-154
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• 2014

The local binary pattern (LBP) scheme that is one of the texture classification methods normally uses the distribution of flat, edge and corner patterns. However, it cannot examine the edge direction and the pixel difference because it is a sort of binary pattern caused by thresholding. Furthermore, since it cannot consider the pixel distribution, it shows lower performance as the image size becomes larger. In order to solve this problem, we propose a sub-classification method using the edge direction distribution and eigen-matrix. The proposed sub-classification is applied to the particular texture patches which cannot be classified by LBP. First, we quantize the edge direction and compute its distribution. Second, we calculate the distribution of the largest value among eigenvalues derived from structure matrix. Simulation results show that the proposed method provides a higher classification performance of about 8 % than the existing method.

• Journal of the Korean Society for information Management
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• v.34 no.4
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• pp.321-344
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• 2017

Research on automatic classification of records and documents has been conducted for a long time. Recently, artificial intelligence technology has been developed to combine machine learning and deep learning. In this study, we first looked at the process of automatic classification of documents and learning method of artificial intelligence. We also discussed the necessity of applying artificial intelligence technology to records management using various cases of machine learning, especially supervised methods. And we conducted a test to automatically classify the public records of the Seoul metropolitan government into BRM using ETRI's Exobrain, based on supervised machine learning method. Through this, we have drawn up issues to be considered in each step in records management agencies to automatically classify the records into various classification schemes.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.11
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• pp.1681-1689
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• 2010

Several studies on the use of Support Vector Machines (SVMs) for diagnosing rotating machinery have been successfully carried out, but the fault classification depends on the input features as well as a multi-classification scheme, binary optimizer, kernel function, and the parameter to be used in the kernel function. Most of the published papers on multiclass SVM applications report the use of the same features to classify the faults. In this study, simple statistical features are determined on the basis of time domain vibration signals for various fault conditions, and the optimal features for each fault condition are selected. Then, the optimal features are used in the SVM training and in the classification of each fault condition. Simulation results using experimental data show that the results of the proposed stepwise classification approach with a relatively short training time are comparable to those for a single multi-class SVM.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.48 no.5
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• pp.102-108
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• 2011

Support vector machines are well known for their outstanding performance in pattern recognition fields. One example of their applications is music/speech classification for a standardized codec such as 3GPP2 selectable mode vocoder. In this paper, we propose a novel scheme that improves the speech/music classification of support vector machines based on the second-order conditional maximum a priori. While conventional support vector machine optimization techniques apply during training phase, the proposed technique can be adopted in classification phase. In this regard, the proposed approach can be developed and employed in parallel with conventional optimizations, resulting in synergistic boost in classification performance. According to experimental results, the proposed algorithm shows its compatibility and potential for improving the performance of support vector machines.

• Journal of the Korean Society for information Management
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• v.39 no.1
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• pp.69-90
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• 2022

As basic data that can systematically support and evaluate R&D activities as well as set current and future research directions by grasping specific trends in domestic academic research, I sought efficient ways to assign standardized subject categories (control keywords) to individual journal papers. To this end, I conducted various experiments on major factors affecting the performance of automatic classification, focusing on feature selection techniques, for the purpose of automatically allocating the classification categories on the National Research Foundation of Korea's Academic Research Classification Scheme to domestic journal papers. As a result, the automatic classification of domestic journal papers, which are imbalanced datasets of the real environment, showed that a fairly good level of performance can be expected using more simple classifiers, feature selection techniques, and relatively small training sets.

• Korean Journal of Soil Science and Fertilizer
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• v.17 no.2
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• pp.96-100
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• 1984

To give basic information on the agricultural mechanization and multiple cropping adoptability of the paddified clayey terrace soils which have poor permeability and poor adoptability to mechanization, a scheme of drainage classification as well as taxonomic classification was intended. 1. The degrees of gleization of terrace paddy soils were well distinguished by the comparison of "Redness rating" of their profiles. 2. When the criteria of "Imperfectly drained" soils were defined as follows; Soils have more than 50cm of accumulated depth which has less than 0.5 in Redness rating within 1.2m of the profile, the Geugrag series could be classified to "Imperfectly drained." The tentative classification of drainage class of Geugrag soils seemed to well matching with land suitability groups, and give possibility of drainage recommendation in the case of dry land crop cultivation. 3. The Geugrag soil which was well paddified by artificial surface irrigation, could be proposed to classify "Anthroaquic Ochraqualfs."

• Korean Journal of Soil Science and Fertilizer
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• v.15 no.2
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• pp.128-140
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• 1982

The distribution and practical classification of sandy paddy soils, which have the most extensive acreage among low productive paddy soils in Korea and have distinctive improvement effects, were studied to propose a tentative new classification system of sandy textured paddy soils as a means of improving the "Paddy Soil Type Classification" scheme used. The results are summarized as follows; 1. The potential productivity of sandy textured paddy soils was about 86% of normal paddy and the coefficient of variation was relatively high indicating that the properties of soils included were not sufficiently homogeneous. 2. As the poorly drained and halomorphic (> 16 mmhos/cm of E.C. at $25^{\circ}C$) sandy soils are not included in the "Sandy Soil" type according to the criteria of "Soil Type Classification", the recommendation of "adding clay earth" become complicated, and the soil type have to change when the salts washed away or due to ground water table fluctuations. 3. Coarse textured soils were entirely included in the "Sandy Soils" in the tentative criteria of sandy soil classification proposed, and the sandy soils were subdivided into 4 subtypes that is "Oxidized leaching sandy paddy", Red-ox. intergrading sandy paddy", "Reduced accumulating sandy paddy" and "Reduced halomorphic sandy paddy". The system of sandy soil classification proposed were consisted of following categories; Type (Sandy paddy)-Sub-type (4)-Texture family (5)-Soil series (48). 4. The variation of productivities according to the proposed scheme was more homogenized than that of the present device. 5. The total extent of sandy paddy soils was 409, 902 ha (32.3% of total paddy) according to the present classification system, but the extent reached 492,983 ha (38.9%) by the proposed system. The provinces of Gyeong-gi (88.923ha), Jeon-bug (69.717 ha), Gyeong-bug (55.390 ha) have extensive acreage of sandy paddy soils, and the provinces that had high ratio of sandy paddy soils were Gang-weon (58.9%), Gyeong-gi (50.5%), Chung-bug (48.5%), Jeon-bug (41.0%) etc. The ratio was increased by the proposed scheme, e.g. 71.4% in the case of Gang-weon prov. 6. According to the suitability group of paddy soils, the sandy soils mostly belong to 3 class (69.1%) and 4 class (29.2%). Coarse loamy textural family (59.2%) and coarse silty (16.1 %) soils were dominantly distributed. 7. The "Red-ox. intergrading subtype" of sandy paddy pertinent to 49.6% (245,012 ha) while the "Oxidized leaching sub-type" reaches to 33.5% (64,890 ha) and the remained 16.9% (83,081ha) belong to "Reduced accumulating sub-type (14.0%) and "Reduced halomorphic sub-type (2.9%)" according to the proposed scheme.