• Title/Summary/Keyword: Staff-line

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A Robust Staff Line Height and Staff Line Space Estimation for the Preprocessing of Music Score Recognition (악보인식 전처리를 위한 강건한 오선 두께와 간격 추정 방법)

  • Na, In-Seop;Kim, Soo-Hyung;Nquyen, Trung Quy
    • Journal of Internet Computing and Services
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    • v.16 no.1
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    • pp.29-37
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    • 2015
  • In this paper, we propose a robust pre-processing module for camera-based Optical Music Score Recognition (OMR) on mobile device. The captured images likely suffer for recognition from many distortions such as illumination, blur, low resolution, etc. Especially, the complex background music sheets recognition are difficult. Through any symbol recognition system, the staff line height and staff line space are used many times and have a big impact on recognition module. A robust and accurate staff line height and staff line space are essential. Some staff line height and staff line space are proposed for binary image. But in case of complex background music sheet image, the binarization results from common binarization algorithm are not satisfactory. It can cause incorrect staff line height and staff line space estimation. We propose a robust staff line height and staff line space estimation by using run-length encoding technique on edge image. Proposed method is composed of two steps, first step, we conducted the staff line height and staff line space estimation based on edge image using by Sobel operator on image blocks. Each column of edge image is encoded by run-length encoding algorithm Second step, we detect the staff line using by Stable Path algorithm and removal the staff line using by adaptive Line Track Height algorithm which is to track the staff lines positions. The result has shown that robust and accurate estimation is possible even in complex background cases.

Effectiveness of a Training Program Based on Stress Management on NEDSA Staff and Line Staff

  • Azad, Esfandiar;Hassanvand, Bagher;Eskandari, Mohsen
    • Safety and Health at Work
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    • v.13 no.2
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    • pp.235-239
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    • 2022
  • Background: The purpose of present study was to determine the effectiveness of training program based on job stress management in NEDSA and line staff. Methods: The study method of this study was quantitative and quasi-experimental research Methods: From the statistical population (all employees of the NEDSA and line staff in 2020-2021), 30 of these people were selected by judgmental sampling method and considering the inclusion and exclusion criteria. The participants were first matched based on age and education and were randomly divided into experimental and control groups. First, pre-test was taken from both groups (Job Stress Questionnaire). The experimental group was presented with a job stress management training package and no protocol was presented in the control group. After the sessions, post-test was received from both groups (experimental and control). After two months, a follow-up test was performed. Results: The results were entered into SPSS-24 software and analyzed. The results of repeated measure showed high effectiveness of the job stress management package (researcher-made). The results showed that the job stress management training package showed 67.5% effectiveness and also the training effect of job stress management training was stable for two months (follow-up). Conclusion: Based on these results, Training program based on stress management can be effective in military staff.

Staff-line Detection and Removal Algorithm for Mobile Phone-based Recognition of Musical Images (카메라 기반 악보 영상 인식을 위한 오선 검출 및 삭제 알고리즘)

  • Son, Hwa-Jeong;Kim, Soo-Hyung;Oh, Sung-Ryul
    • The Journal of the Korea Contents Association
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    • v.7 no.11
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    • pp.34-42
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    • 2007
  • In this paper, we propose a staff-line detection and removal algorithm from a music score image obtained by a mobile phone camera. As a preprocessing technique to recognize a music score image, staff-line detection and removal should be efficiently applied to the skewed or curved images. The proposed method detects a staff-line by dividing a staff according to the degree of distortion. The number of division is calculated by dividing a staff repletely until an average of differences of y coordinates in every divided position is smaller than a threshold. Therefore, the number of division can be adaptively estimated according to the degree of the distortion. For an experiment, we make various kinds of images by rotating one from $1^{\circ}\;to\;3^{\circ}$ or curving slightly upward. The results show that the proposed method performed well on the experiment images.

A Study on the Distinctive Characteristics of Standardization Organization (정보통신 표준화기구의 차별적 특성에 관한 연구)

  • Park, Jong-Bong;Sohn, Hong;Park, Ki-Shik;Kang, Bu-Mie
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.103-107
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    • 2000
  • Standardization organization has distinctive characteristics compare to normal organization such as private or public one. For instance, adhocracy structure model having distinctive role between line and staff, working methods that makes deliverables-standards, flexible organization to cope with rapidly changing environments, and the deferent type of human resource composition between line and staff, and so on. In this paper, we analyze the distinctive characteristics of standardization organization in detail, and we draw the implication from these characteristics for designing of effective standardization organization.

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Staff-line and Measure Detection using a Convolutional Neural Network for Handwritten Optical Music Recognition (손사보 악보의 광학음악인식을 위한 CNN 기반의 보표 및 마디 인식)

  • Park, Jong-Won;Kim, Dong-Sam;Kim, Jun-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.7
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    • pp.1098-1101
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    • 2022
  • With the development of computer music notation programs, when drawing sheet music, it is often drawn using a computer. However, there are still many use of hand-written notations for educational purposes or to quickly draw sheet music such as listening and dictating. In previous studies, OMR focused on recognizing the printed music sheet made by music notation program. the result of handwritten OMR with camera is poor because different people have different writing methods, and lens distortion. In this study, as a pre-processing process for recognizing handwritten music sheet, we propose a method for recognizing a staff using linear regression and a method for recognizing a bar using CNN. F1 scores of staff recognition and barline detection are 99.09% and 95.48%, respectively. This methodologies are expected to contribute to improving the accuracy of handwriting.

A study on the current status of private university library's line and staff organization (사립대학도서관의 직제 현황에 관한 연구)

  • 김성수
    • Journal of Korean Library and Information Science Society
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    • v.24
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    • pp.301-334
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    • 1996
  • This study is aimed at examination and analysis of current status of university library's line and staff organization especially the private university's. Motivation for this study is based on the following facts : First, the library work now is changing from the conventional one to automated one. Second, librarians in the front line must be trained in the newly set work because of the separation of work process in automated libraries. Methodologies of this study, apart from theoretical aspects, were visiting and interviewing librarians at 30 university libraries, examining the current status and problems of the line and staff organization of the university libraries. The result from the study is as follows: First, interviewing reveals that 35% of the 75 private university library is having 'associate directorship by librarian' system. Benefits from this system are described, recommending other University libraries adopt this system. This system su n.0, pplements the weak point of concurrent director's office of lay professor, as well as encourages librarian's morale by promotion. Second, the current organization of the university libraries are to be reformed. Namely, 1) the name of each division must be newly and a n.0, ppropriately set of changed suiting for the work of automated library, thus reforming the division. This must be conducted via collection of opinions of the Korean Library and Information Science Society' and associated organizations. 2) Newly formed division(for example, administrative division or division of operation and management, division conducting digital library work, etc.) must be added to the line and staff organization. 3) For information service division, there must be a certain number of subject specialists. 4) Status of the directorship of university library, librarianship, issue of renaming of university library are also described.

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A Study of first-line nurse manager's self-efficacy (일선 간호관리자의 자기 효능감에 관한 연구)

  • Koh, Myung-Suk
    • Journal of Korean Academy of Nursing Administration
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    • v.6 no.1
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    • pp.97-107
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    • 2000
  • In human societies, there are various organizations which are unique and have different roles. Among them, hospital organization are much more complex than other organizations because of their multitude of professional groups each with its own goals. To achieve its purposes, hospital should manage each professional group effectively. Hospital nursing organizations are the core positions in hospitals for patient care. Therefore nursing organizations have have efficient nurse managers to lead nurses for their own purposes. First- line nurse managers have special tasks for patients and nurses, which include to motivating, managing communicating with the people. So they should have high self-efficacy, which is the belief that one can successfully perform the behaviors in question. Self-Efficacy of first line nurse managers that asked them for leading their staff, and their tasks, is essential to bring about self-realization of staff nurses through motivation and job satisfaction, taking advantage of sound surrounding which is able to operate her staff nurses in order to function efficiently. But there were few studies on the topic in a hospital setting. This study was designed to measure first-line nurse managers' self-efficacy. The subjects for this Study were 167 first-line nurse managers randomly selected from 18 university hospitals in Korea. The Self-Efficacy was measured using 'The general self-efficacy scale' developed by Sherer and Maddux(1982). The data were collected through questionnaires and analysed using SAS program, frequencies, percentages and Pearson' correlation coefficients. The results of this study were as follows : 1. The average of first- line nurse managers' self- efficacy was 66.7. 2. The correlation between first-line nurse managers' self- efficacy and general characteristics(age, education, career) was not significant. From the above findings, this study can suggest the following : 1. Repeat studies are needed in various hospital settings. 2. First-line nurse managers must be trained with special programs for each nursing organizations' purposes.

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A Study of Leadership Training Program Demands of First-Line Nurse Managers in University Hospitals (일선 간호관리자의 리더쉽 프로그램 요구 조사)

  • Go, Myeong-Suk
    • The Korean Nurse
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    • v.37 no.1
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    • pp.107-115
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    • 1998
  • There is an important concern regarding the First-line nurse manager's leadership because of the recognition that effectiveness of Leadership in this position results in benefits for the whole health care organization. So knowledge and practice of effective leadership behavior are now more essential to nursing than ever before. First-line Nurse Managers must be effective leaders to meet today's challenge because staff nurse, patient are affected by them. So the purpose of this study was to identify and to analyse the need for Leadership program of First-Line nurse managers in university hospitals. There were three major purposes of this study. First, identify First-line nurse managers general characteristic, second, identify their experience of leadership training, third, identify and analysis their demands for leadership training program. The subjects for this study was 167 First-line nurse manager randomly from 18 university hospitals in Korea. The data were collected through questionnaires from Oct. 13th to Nov. 20th, 1997, data was analysed using frequencies and percentages. Especially the steps of analysis of descriptions were as follows: Initial analysis centered on the identification of the demands of first-line nurse managers. Later analysis collapsed the demands into broad categories. From the collect data, 283 demands of first-line nurse managers were identified. These demands were then sorted into 3 broad categories that included : Self development as first-line nurse managers, relationship with others, and practice. The result of the study were as follows ; 1) Most of nurse managers(79.6%) had leadership training course and had good experience to improve self leadership. 2) Their demands of leadership training course are as follows First, for self as first-line nurse managers, they want to learn leadership theory, identify their leadership style and then develop their leadership skill. Second, for others as first-line nurse managers, they want to improve their communication skill, empowering others, relationship with others. Third, for patients as first-line nurse managers, improve their knowledge of practice. From the above finding, this study can be suggested the following; 1. Develope a leadership training course to improve first- line nurse manager's leadership skill according to their demands, so they will be better able to lead staff nurses for organization purposes. 2. When develope leadership training program, it must be contained the factors which first-line nurse managers want to learn.

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Influence of National Culture on Staff Preferences to Knowledge Sharing Practices: the Case of Saudi Arabia

  • Al Hazmi, Hassan S.J.;Mohamed, Sherif
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.454-458
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    • 2015
  • A number of practices for sharing knowledge has been recommended in the literature. These practices, however, are considered to be applicable, universally. This assumption is challenged by this paper which empirically explores the relationship between national culture and knowledge sharing practices in the context of procuring educational buildings in Saudi Arabia. The paper reports on a research study with the aim to identify whether national culture dimensions could be significant variables that impact upon staff preferences in relation to project knowledge sharing practices. The paper critically reviews the literature to identify appropriate measures for knowledge sharing practices. It explores the means by which public sectors professional exchange project knowledge; evaluates policies and level of technical support needed to facilitate knowledge sharing, then proceeds to how employees perceive the benefits they will gain by practicing project knowledge sharing, and their role in this process. The paper tests the relationships among the research constructs based on data collected from 115 project managers responsible for the procurement of educational buildings in Saudi Arabia. The paper provides empirical evidence that the national culture has a significant influence on staff preferences. In light of the research findings the paper concludes with practical recommendations for project knowledge sharing practices that are in line with staff preferences and their cultural orientation. The recommendations should facilitate a more effective application of knowledge sharing practices.

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Recognition of Music using Backpropagation Network (Backpropagation을 이용한 악보인식)

  • Park, Hyun-Jun;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.6
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    • pp.1170-1175
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    • 2007
  • This paper presents techniques to recognize music using back propagation network one of the neural network algorithms, and to preprocess technique for music mage. Music symbols and music notes are segmented by preprocessing such as binarization, slope correction, staff line removing, etc. Segmented music symbols and music notes are recognized by music note recognizing network and non-music note recognizing network. We proved correctness of proposed music recognition algorithm though experiments and analysis with various kind of musics.