• Journal of IKEEE
• /
• v.13 no.2
• /
• pp.159-166
• /
• 2009

So far, many researches have been done to retrieve music information using static classification descriptors such as genre and mood. Since static classification descriptors are based on diverse content-based musical features, they are effective in retrieving similar music in terms of such features. However, human emotion or mood transition triggered by music enables more effective and sophisticated query in music retrieval. So far, few works have been done to evaluate the effect of human mood transition by music. Using formal representation of such mood transitions, we can provide personalized service more effectively in the new applications such as music recommendation. In this paper, we first propose our Emotion State Transition Model (ESTM) for describing human mood transition by music and then describe a music classification and recommendation scheme based on the ESTM. In the experiment, diverse content-based features were extracted from music clips, dimensionally reduced by NMF (Non-negative Matrix Factorization, and classified by SVM (Support Vector Machine). In the performance analysis, we achieved average accuracy 67.54% and maximum accuracy 87.78%.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.2
• /
• pp.160-166
• /
• 2007

When a mail was given to users, each user's response could be different according to his or her preference. This paper presents a solution for this situation by constructing a user preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or ron-spam in a meaningful way. We also suggest a new rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.

• Korea Journal of Hospital Management
• /
• v.13 no.3
• /
• pp.94-113
• /
• 2008

The purpose of this study to develop the Hospital Management Award(HMA) programme which would be a basic information for advancing hospital industry in Korea. HMA programme in the study are designed with general census building method of researchers and with the data of professions opinion which was survey with structured questionnaire Major results of this study are as follows. First, Hospital Management Award(HMA) programme is perceived very necessary and useful for advancing hospital industry of Korea (positive response rate: 93.0%). Second, Criteria, Classification of hospitals may be the function, size and ownership of hospital. Third Evaluating area of hospital management, examining method and evaluation marking points are designed on the basis of hospital management information system. Forth, this study suggests same strategies for execution of the programme. On the basis of the study results this study suggests that Hospital Management Award(HMA) programme would rather actualized in advance by formal institute and/or association. And some in depth studies are required mainly for development of the action plan of HMA programme.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.14 no.6
• /
• pp.650-662
• /
• 1989

In this paper, a new algorithm for feature extraction and classification of recognizing Hanguel patterns is proposed. Inputed patterns classify into six basic formal patterns and divided into subregion of Hanguel phoneme and extract the crook feature from position information of the each subregion. Hanguel patterns are defined and are made of the indexed-sequence file using these crook features points. Hanguel patterns are recognized by retrievignt ehses two files such as feature indexed-sequence file and standard dictionary file. Thi paper show that the algorithm is very simple and easily construct the software system. Experimental result presents the output of feature extraction and grouping of input patterns. Proposed algorithm extract the crooked feature using distance transformation method within the rectangle of enclosure the characters. That uses the informationof relative position feature. It represents the 97% of recognition ratio.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.17 no.3
• /
• pp.310-315
• /
• 2007

When a mail was given to users, each user's response could be different according to his or her preference. This paper presents a solution for this situation by constructing a u!;or preferred ontology for anti-spam systems. To define an ontology for describing user behaviors, we applied associative classification mining to study preference information of users and their responses to emails. Generated classification rules can be represented in a formal ontology language. A user preferred ontology can explain why mail is decided to be spam or non-spam in a meaningful way. We also suggest a nor rule optimization procedure inspired from logic synthesis to improve comprehensibility and exclude redundant rules.

• The Transactions of the Korea Information Processing Society
• /
• v.6 no.9
• /
• pp.2350-2364
• /
• 1999

In this paper, we propose a method of class library repository design for provide reuser the object-oriented C++ class component. To class library design, we started by studying the characteristics of a reusable component. We formally defined the reusable component model using an entity relationship model. This formal definition has been directly used as the database schema for storing the reusable component in a repository. The reusable class library may be considered a knowledge base for software reuse. Thus, we used that Enumerative classification of breakdown of knowledge based. And another used classification is clustering of based on class similarity. The class similarity composes member function similarity and member data similarity. Finally, we have designed class library for hierarchical inheritance mechanism of object-oriented concept Generalization, Specialization and Aggregation.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.33 no.5
• /
• pp.741-751
• /
• 2009

In order to design and develop the various silhouette of pants pattern for standardized pants patterns, this study is to classify the pants style by the silhouette and to characterize each pants pattern which are classified. Recent 37 ready-made pants patterns of various style were collected in order to analyze their silhouette from April to July 2007. Measurement of each region of the pants pattern were compared and analysed. After analyse the standard deviation, coefficient of variance, minimum, maximum, range about the measurement of each region of the pants pattern, major pattern design factors were extracted. Five major factors are the angle of center front line and center back line, the crotch extension, the position of center back line against center front line, the curvature of center back line, and amount of waist dart. As a result, pants style were grouped as the culottes, formal, basic and tight style after considering the extracted design factors, and analysing correlation, degree of dispersion of the measurement by part. As the silhouette of pants classification from culotte to tight, the fits are closer to the figure, crotch depth increases, crotch extensions are shorter, and angle of the center back increases. The shape of the connected front and back center lines is U-shape for culotte and is closer to V-shape as the silhouette becomes tight.

• Journal of the Korean Chemical Society
• /
• v.56 no.4
• /
• pp.518-529
• /
• 2012

The purpose of this study is to analyze the cognitive demands level of the description about 'element', 'periodic table', and 'atom' on the 'science 2' textbooks by the 2007 revised curriculum. The three types of CAT (Curriculum Analysis Taxonomy) have been used to analyze the cognitive demands level of those contents on the 6 kinds of 'science 2' textbooks. The cognitive demands level about 'elements' on many textbooks is a late concrete operational stage, because the descriptions of 'element' are pure substances or no more split into anything simpler substances. That cognitive demands level about one textbook is a early formal operational stage, because the descriptions 'element' are a substance of one kind of atom. The cognitive demands level of 'periodic table' on many textbooks is a late concrete operational stage, because the descriptions about 'periodic table' are the hierarchical classification for the categorizing reality. And the cognitive demands level of 'periodic table' is a early formal operational stage, because the descriptions about 'periodic table' are a collection of 'families' or two-way gradation of elements. That cognitive demands level about one textbook is a late formal operational stage, because the descriptions of 'periodic table' are a complex classificatory structure linking atomic structure. The cognitive demands level about 'atom' is a early formal operational stage because of the descriptions as "atoms have structure, some atoms are the same, or others are different".

• Journal of the Korean Institute of Landscape Architecture
• /
• v.37 no.2
• /
• pp.78-89
• /
• 2009

The purpose of this study is to build fundamental data for the classification of landscape type as a base for landscape planning and management practices. To do this, prior dissertations and landscape plan reports were analyzed, which presented the classification criteria for landscape type. Based on this, classification criteria for landscape type which could be usable in zoning ordinances has been suggested. The result is as follows: Firstly, in landscape analysis and assessment study based on ecological and formal aesthetic models, landscape type is classified by the character of the landscape element. Secondly, there is no logical classification of landscapetype in urban landscape planning according to mixed use of landscape type for analysis and planning. It is therefore difficult to identify the object of landscape planning, which is intimately linked with the shortage of concrete practice for landscape management. In connection with this issue, classification criteria for landscape type are suggested based on utility in landscape planning. This could be divided into internal criteria and external criteria. The former are land-use, topographical characteristics, characteristics of the view object, and landscape elements while the latter are viewpoint, distance to view object, and urban form. Applying the landscape type classified by the criteria suggested in this paper, it is possible to manage an entire urban area. In addition, landscape type could be reference data for operating a zoning system.

• Journal of KIISE:Databases
• /
• v.33 no.1
• /
• pp.102-116
• /
• 2006

Electronic catalogs (or e-catalogs) hold information about the goods and services offered or requested by the participants, and consequently, form the basis of an e-commerce transaction. Catalog management is complicated by a number of factors and product classification is at the core of these issues. Classification hierarchy is used for spend analysis, custom3 regulation, and product identification. Classification is the foundation on which product databases are designed, and plays a central role in almost all aspects of management and use of product information. However, product classification has received little formal treatment in terms of underlying model, operations, and semantics. We believe that the lack of a logical model for classification Introduces a number of problems not only for the classification itself but also for the product database in general. It needs to meet diverse user views to support efficient and convenient use of product information. It needs to be changed and evolved very often without breaking consistency in the cases of introduction of new products, extinction of existing products, class reorganization, and class specialization. It also needs to be merged and mapped with other classification schemes without information loss when B2B transactions occur. For these requirements, a classification scheme should be so dynamic that it takes in them within right time and cost. The existing classification schemes widely used today such as UNSPSC and eClass, however, have a lot of limitations to meet these requirements for dynamic features of classification. In this paper, we try to understand what it means to classify products and present how best to represent classification schemes so as to capture the semantics behind the classifications and facilitate mappings between them. Product information implies a plenty of semantics such as class attributes like material, time, place, etc., and integrity constraints. In this paper, we analyze the dynamic features of product databases and the limitation of existing code based classification schemes. And describe the semantic classification model, which satisfies the requirements for dynamic features oi product databases. It provides a means to explicitly and formally express more semantics for product classes and organizes class relationships into a graph. We believe the model proposed in this paper satisfies the requirements and challenges that have been raised by previous works.