• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.373-393
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• 2024

This study aims to propose the considerations for developing the guidelines for recording a preferred title in musical works by analyzing the RDA rules and guidelines of several national libraries. First, RDA rules were analyzed, and the primary rules for consideration were examined by reviewing RDA application guidelines from eight national libraries that have developed their own guidelines for alternatives and options of RDA rules. Then, by analyzing the contents of each guideline, including MLA, LC-PCC, and DACH, practical considerations was to provide. First, the original language title should be adopted in the selection of preferred title, but if the title in the original language is not suitable for domestic users, the title in other languages should be used. Second, the preferred title was examined in aspects of works with one part, works with more than one part, the complete works of one author, the compilation of a specific type of composition, the incomplete compilation, and the compilation of several composers. Third, medium of performance, numeric numbers, key, and other identifying characteristics were presented as additional factors for consideration in the recording. Fourth, it is necessary to designate or present a control vocabularies for the types of compositions and the medium of performance. This study suggests considerations in developing guidelines for recording the preferred title for RDA musical works, and it will be possible to contribute to the development of rules related to preferred titles for musical works and guidelines for recording the preferred title for musical works in libraries.

• Smart Media Journal
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• v.7 no.2
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• pp.23-33
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• 2018

A musical sheet is read by optical music recognition (OMR) systems that automatically recognize and reconstruct the read data to convert them into a machine-readable format such as XML so that the music can be played. This process, however, is very challenging due to the large variety of musical styles, symbol notation, and other distortions. In this paper, we present a model for the recognition of musical symbols through the use of a mobile application, whereby a camera is used to capture the input image; therefore, additional difficulties arise due to variations of the illumination and distortions. For our proposed model, we first generate a line adjacency graph (LAG) to remove the staff lines and to perform primitive detection. After symbol segmentation using the primitive information, we use a covariance-matching method to estimate the similarity between every symbol and pre-defined templates. This method generates the three hypotheses with the highest scores for likelihood measurement. We also add a global consistency (time measurements) to verify the three hypotheses in accordance with the structure of the musical sheets; one of the three hypotheses is chosen through a final decision. The results of the experiment show that our proposed method leads to promising results.

• Korean Journal of Computational Design and Engineering
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• v.15 no.5
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• pp.393-402
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• 2010

Existing construction industry is composed of several processes with various characteristics. The tendency of current construction industry is getting complicated and diversified; it has limitation to solve problems through existing processes. As a problem-solving method, BIM (Building Information Modeling), environment to manage building life cycle from design and construction to management, is being suggested. Currently, BIM is only focused on technology development by engineers, and the automation of architectural theories is insufficiency except architectural design modeling. Therefore, this research aims to back up theses drawbacks through intellectual curtain wall arrangement by using musical proportions. In order to apply to construction automation, analysised of musical proportions method are performed. The BPMN-based Process Map is listed to develop IDM for the application to BIM Software.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.1-12
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• 2009

There exist some regular multiple relations in the intervals of notes when they are combined within one measure. This paper presents a method to find the exact measure positions in monophonic song based on those relations. In the proposed method the individual intervals are segmented at first and the rules that state the multiple relations are used to find the measure position. The measures can be applied as the foundational information for extracting beat and tempo of a song which can be used as background knowledge of automatic music transcription system. The proposed method exactly detected the measure positions of 11 songs out of 12 songs except one song which consist of monophonic voice song of the men and women. Also one can extract the information of beat and tempo of a song using the information about extracted measure positions with music theory.

• Journal of Korean Library and Information Science Society
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• v.52 no.4
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• pp.153-177
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• 2021

The revision of the Korean Cataloging Rules (KCR) is in progress in order to conform IFLA LRM conceptual model and to strengthen its internal stability. Religious works, along with musical works and legal works, have been treated as special and important in cataloging rules. This trend continues in the new cataloging rules that seek a bibliographic model that interconnects related materials. However since KCR2(1966), there are no rules for access points or specific rules on religious works. Under the circumstances, this study analyzed (1) the contents of religious works in the recently revised cataloging rules, (2) the access points and their functions for religious works implemented in online catalogs and authority system, and finally (3) the direction and scope of KCR revision. As a result of the study, this study suggested that it is necessary to prepare detailed rules for preferred title and authorized access points for various religious works in KCR. In conclusion, some issues for further discussion were summarized.

• Journal of Korean Library and Information Science Society
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• v.38 no.1
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• pp.231-256
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• 2007

The purpose of this study is to investigate the distinctiveness and problem areas in cataloging rules of printed music. In this study, therefore, the characteristics, kinds, and cataloging rules related to a printed music are examined first as the backgrounds. Then the sources of information, title and general material designation, musical representation statement, publication.distribution.etc., physical description, notes, etc. in ISBD(PM), Chapter 5 Music of AACR2R 2002 Revision 2004 Update, and Chapter 5 Music of KCR4 are analyzed. And also printed music parts in Bibliographic Data of KORMARC and MARC21 are analyzed. Finally, the special issues and some problems to be considered in cataloging of printed music in KCR4 are presented.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.104-112
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• 2021

In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.

• The Journal of the Acoustical Society of Korea
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• v.15 no.1
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• pp.54-60
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• 1996

In most pattern recognition and image understanding applications, images are degraded by noise and other distortions. Therefore, it is more relevant to decide how similar two objects are rather than to decide whether the two are exactly the same. In this paper, we propose a method for recognizing degraded symbols using a distance measure between two graphs representing the symbols. a symbol is represented as a graph consisting of nodes and edges based on the run graph concept. The graph is then transformed into a reference model graph with production rule containing the embedding transform. The symbols are recognized by using the distance measure which is estimated by using the number of production rules used and the structural homomorphism between a transformed graph and a model graph. the proposed approach is applies to the recognition of non-note musical symbols and the result are given.

• (The) Research of the performance art and culture
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• no.34
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• pp.241-276
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• 2017

This paper studies the restoration of Jeongeup notated in Daeakhubo to a singable song. Firstly, the melody of Jeongeup was restored by finding the rhythm of Jeongeup. Secondly, Jeongeup lyric written in Akhakgwebeom was added to the restored melody. Lastly, the musical style of restored Jeongeup song was investigated. The rhythm of Jeongeup was found to be the same as Jinjak's rhythm whose measure consists of four ternary subdivided beats. It is because the Jangdan of Jeongeup contains that of Jinjak. The Jangdan of Jeongeup is played one touch in a measure. Such ternary subdivided beat and one Janggo's touch in a measure were transmitted to today's Sujecheon. The lyric of Jeongeup was added to the restored melody of Jeongeup by following the lyric rules of Jinjak1,2 and Hoengsalmun. The lyric rules of Jinjak 1,2 and Hoengsalmun are as follows. One syllable is sung in two measures, Eodanseongjang 語短聲長 appears, long lasting tunes are mostly applied to Jang of Eodanseongjang 語短聲長, and syllables begin at the first beat in a measure. The musical style of Jeongeup is basically similar to that of Jinjak1, but there are some differences. They are similar in the sense that the melody is very long compared to the lyric and Eodanseongjang 語短聲長 appears. They are different in the sense that Jeongeup uses grace notes rather than Sigimsae when one tune lasts long. Jeongeup in Daeakhubo seems to have undergone changes, and its rhythm is likely to have been expanded two to four times in order to match Mugo dance after being used as an accompaniment to Mugo dance.

• International Journal of Contents
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• v.10 no.4
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• pp.11-17
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• 2014

The influence of acquisition environment on music score images captured by a camera has not yet been seriously examined. All existing Optical Music Recognition (OMR) systems attempt to recognize music score images captured by a scanner under ideal conditions. Therefore, when such systems process images under the influence of distortion, different viewpoints or suboptimal illumination effects, the performance, in terms of recognition accuracy and processing time, is unacceptable for deployment in practice. In this paper, a novel, lightweight but effective approach for dealing with the issues caused by camera based music scores is proposed. Based on the staff line information, musical rules, run length code, and projection, all regions of interest are determined. Templates created from inverse filter are then used to recognize the music symbols. Therefore, all fragmentation and deformation problems, as well as missed recognition, can be overcome using the developed method. The system was evaluated on a dataset consisting of real images captured by a smartphone. The achieved recognition rate and processing time were relatively competitive with state of the art works. In addition, the system was designed to be lightweight compared with the other approaches, which mostly adopted machine learning algorithms, to allow further deployment on portable devices with limited computing resources.