• Journal of Korean Foot and Ankle Society
• /
• v.6 no.2
• /
• pp.149-155
• /
• 2002

Purpose: To propose a new comprehensive classification system of intraarticular calcaneal fracture based on CT images. Materials and methods: Fourty intraarticular calcaneal fractures which were treated operatively were evaluated retrospectively. We classified fracture types according to severity of comminution on the posterior facet and calcaneocuboid joint by CT images. And we evaluated postoperative results of each fracture types in terms of the quality of fixation and reduction by the postoperative plain radiograghs. Results: By the classification of the posterior facet, 18 cases were P-I, 15 were P-II, and 7 were P-III. Among the P-I cases, 7 were P-IA, 9 were P-IL, 1 was P-IM and 2 were P-IT. According to the classification of calcaneocuboid joint, II cases were C-I, 18 were C-II and 11 were C-III. Qualities of fixation were excellent in 27 cases (67.5%), fair in 9(22.5%) and poor in 4(10%). Qualities of reduction were excellent 23 cases(57.5%), fair in 11(27.5%) and poor in 6(15%). Conclusion: Our new classification system based on the CT images could provide informations about the fracture configuration and severity of comminution around calcaneocuboid joint as well as the posterior facet. And the high grade fractures such as type P-III are need to be taken care of fixation of articular surfaces.

• Journal of Korean Library and Information Science Society
• /
• v.32 no.4
• /
• pp.99-117
• /
• 2001

This paper reports on the development of an automatic book classification system using the faced classification principles of CC(Colon Classification). To conduct this study, some 670 words in the botanical field were selected, analyzed in terms [P], [M], [E], [S], [T] employed in CC 7, and included in a database for classification. The principle of an automatic classification system is to create classification numbers automatically through automatic subject recognition and processing of key words in titles through the facet combination method of CC. Particularly, a classification database was designed along with a matrix-principle specifying the subject field for each word, which can allow automatic subject recognition possible.

• Journal of Korea Society of Industrial Information Systems
• /
• v.29 no.1
• /
• pp.135-144
• /
• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.

• Journal of Korean Library and Information Science Society
• /
• v.34 no.1
• /
• pp.217-237
• /
• 2003

This study investigates the general problems in classifying materials by and related to Shakespeare in the university libraries and suggests a new analytico-synthetic system based on the analysis on the related classes on the major classification systems including DDC, LCC, CC, etc. and other studies and hompages In the area or Shakespeare study. New system consists of four facets, and Its facet formula is “generalities + form ＋ works + language,” each of which includes Its own foci.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.12
• /
• pp.3514-3522
• /
• 1999

While the method of information collection and visual interface technique have been researched actively on web information retrieval, a study on structured modeling for effective classification of a wide collective information leaves to be desired. In this paper, we represent information feature based on structured information model. It aims at carrying out effectively the user's retrieval environment through visualization technique with analyzing the information feature. We propose a information classification method using Facet units and we construct the object model, table model, SQL code to define the relation of the information, and represent the information feature based on a wide range of views. After users gain a better global understanding of the information feature, retrieve more easily through their information. Conventional information retrieval is user-oriented to be what user want, but proposed technique it data-oriented which helps users to understand what exist in database by showing information feature.

• Journal of the Korean Society for information Management
• /
• v.20 no.3
• /
• pp.155-175
• /
• 2003

The purpose of the study was to construct a system based on the semantic web environment's ontology by utilizing the ontology schema derived from the facet-type Art and Architecture Thesaurus(AAT). The aforementioned ontology schema is based on the Web Ontology Language(OWL), which is being widely considered the standard ontology language for the W3C-centered semantic web environment. Also, the concepts were limited to terms within AAT'S Furniture Facet, and the system was tested using the Chair concept, which is a lower-level facet that has a diverse conceptual relationship and broad vocabulary base. The ontology system is capable of searching for concepts, while controlling the search results by always providing a 'Preferred term' for synonymous terms. In addition, the system provides the user with first, a relationship between the terms centered around the inquiry, and second, related terms along with their classification properties. Also, the system is presented as and application example of the ontology system that constructs a information system that intakes an Instance value and reproduces it into a RDF file. During this process, utilization of multiple ontologies was introduced, and the stored Instance value's meta-data elements were used.

• Journal of Korea Multimedia Society
• /
• v.13 no.10
• /
• pp.1436-1443
• /
• 2010

In vocabulary recognition system has it's bad points of processing vocabulary unseen triphone and then no got distribution of confidence measure by cannot normalization. According to this problem to improve suggested VCOR(Version Control for Out-of Rejection) system by out-of vocabulary rejection algorithm use vocabulary management optimization and then phone data search support. In VCOR system to provide vocabulary information efficiently offering for user's vocabulary information using extend facet classification that improved for vocabulary measure management function offering accuracy of recognition for vocabulary. In this paper proposed system performance as a result of represent vocabulary dependence recognition rate of 97.56%, vocabulary independence recognition rate of 96.23%.

• Journal of the Korea Society of Computer and Information
• /
• v.15 no.2
• /
• pp.127-134
• /
• 2010

In continuous vocabulary recognition system by probability distribution of clustering method has used model parameters of an advance estimate to generated each contexts for phoneme data surely needed but it has it's bad points of gaussian model the accuracy unsecure of composed model for phoneme data. To improve suggested probability distribution mixed gaussian model to optimized that phoneme data search supported configuration thread system. This paper of configuration thread system has used extension facet classification user phoneme configuration thread information offered gaussian model the accuracy secure. System performance as a result of represent vocabulary dependence recognition rate of 98.31%, vocabulary independence recognition rate of 97.63%.

• Journal of Korean Foot and Ankle Society
• /
• v.11 no.2
• /
• pp.226-231
• /
• 2007

Purpose: To evaluate the clinical outcomes and radiographic results of open reduction and internal fixation for intraarticular calcaneal fractures. Materials and Methods: We reviewed 20 cases of calcaneal fractures managed with open reduction and internal fixation from March 2003 to January 2005. We used the computed tomographic classification system proposed by Sanders et al to classify these fractures. Preoperative and postoperative Bohler's angle, heel height (calcaneal facet height) and calcaneal length, calcaneal width were measured. The Creighton-Nebraska Health Foundation Assessment score was used for clinical evaluation. Results: There were 12 cases of type II fractures, 5 of type III fractures and 3 of type IV fractures. The mean clinical score was 84.3 for type II, 82.6 for type III and 56.1 for type IV. The mean preoperative $B{\ddot{o}}hler$ angle was $6.1^{\circ}$ and final was $22.8^{\circ}$. The mean preoperative calcaneal facet height was 76.6 mm and final was 80.3 mm (The mean calcaneal facet height was changed from preop 76.6 mm to postop 80.3 mm). The mean preoperative calcaneal length was 88.2 mm and final was 92.6 mm. The mean preoperative width was 38.1 mm and final was 35.6 mm. Conclusion: Open reduction and internal fixation showed good results for type II and III fractures, but for type IV fractures the clinical result was significantly worse than the other types. However, type IV fractures still had restoration of (should be restored in) $B{\ddot{o}}hler's$ angle, calcaneal facet height, calcaneal length and width which may be helpful in later subtalar fusion.

• Journal of the Korean Society for Library and Information Science
• /
• v.23
• /
• pp.207-261
• /
• 1992

The purpose of this study is (1) to design and test a database which can be automatically classified, and (2) to generate automatic classification number by processing the keywords in titles using the code combination method of Colon Classification(CC) as well as an automatic recognition of subjects in order to develop an automatic classification system (Auto BC System) based on CC which can be applied to any research library. To conduct this study, 1,510 words in the fields of agricultrue and medicine were selected, analized in terms of [P], [M], [E], [S], [T] employed in CC, and included in a database for classification. For the above-mentioned subject fields, the principle of an automatic classification was specified in order to generate automatic classification codes as well as to perform an automatic subject recognition of the titles included. Whenever necessary, editing, deleting, appending and reindexing of a database can be made in this automatic classification system. Appendix 1 shows the result of the automatic classification of books in the fields of agriculture and medicine. The results of the study are summarized below. 1. The classification number for the title of a book can be automatically generated by using the facet principles of Colon Classification. 2. The automatic subject recognition of a book is achieved by designing a database making use of a globe-principle, and by specifying the subject field for each word. 3. The automatic subject-recognition of input data is achieved by measuring the number of searched words by each subject field. 4. The combination of classification numbers is achieved by flowcharting of classification formular of each subject field. 5. The efficient control of classification numbers is achieved by designing control codes on the database for classification. 6. The automatic classification by means of Auto BC has been proved to be successful in the research library concentrating on a Single field. The general library may have some problem in employing this system. The automatic classification through Auto BC has the following advantages: 1. Speed of the classification process can be improve. 2. The revision or updating of classification schemes can be facilitated. 3. Multiple concepts can be expressed in a single classification code. 4. The consistency of classification can be achieved with the classification formular rather than the classifier's subjective judgement. 5. A user's retrieving process can be made after combining the classification numbers through keywords relating to the material to be searched. 6. The materials can be classified by a librarian without subject backgrounds. 7. The large body of materials can be quickly classified by means of a machine processing. 8. This automatic classification is expected to make a good contribution to design of the total system for library operations. 9. The information flow among libraries can be promoted owing to the use of the same program for the automatic classification.