• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
• /
• v.28 no.3
• /
• pp.21-32
• /
• 2022

Background: Instrument players are exposed to occupational musculoskeletal symptoms due to constant movement and strain to meet the needs of their audience. This can cause dissonance between the player and the instrument and can cause medical problems in the musculoskeletal system such as pain, tendinitis, muscle spasms, and joint hyperextension from overuse of body parts. Objective: The purpose of this study is to comparatively analyze the characteristics and occurrence of musculoskeletal symptoms in professional and student players, and to find out the awareness of the need for health care professionals and special exercise programs for orchestra players. Methods: The subjects were professional orchestral musicians 191 from the three symphony orchestras and music students 209 from the four universities volunteered to participate in this study; 393 subjects (98.25%) completed the questionnaire. symptom prevalence and related factors of playing-related musculoskeletal disorders (PRMDs) were surveyed with a self-administered questionnaire. Standardized Nordic Questionnaire was complemented by adding a visual-among scale and used to diagnose PRMD. Results: High prevalence of musculoskeletal complaints in both professional musicians (85.30%) and student musicians (82.30%). Professional musicians and student musicians also suffered the highest problem in shoulder and neck complaints. Significant differences were found between groups that recognized of necessity for specialized health professionals, professional organizations, and special programs for musicians. Conclusions: Professional musicians and student musicians, like orchestra players, are already exposed to overuse syndrome. However, student musicians lack awareness of the risk of injury compared to orchestra players. We suggest that an appropriate treatment management program for the prevention and early treatment of musculoskeletal system damage should be provided to performers at an early stage.

• Journal of Dental Rehabilitation and Applied Science
• /
• v.31 no.2
• /
• pp.86-95
• /
• 2015

Purpose: The aim of the study was to evaluate the subjective symptoms and clinical signs through the TMD-questionnaire, clinical examination and radiography against the many instrumental performers and to investigate the association between playing instruments and TMDs. Materials and Methods: A total of 803 instrumental performers received TMD-related questionnaire and evaluations of prevalence and disease distribution were performed. Among those who reported at least one symptom of TMD, 70 volunteers visited in clinic then received clinical examination and radiography for diagnosis and evaluations of prevalence and disease distribution were performed. 70 subjects were divided into three groups as woodwind, brass wind, string. Comparative analysis of disease distribution was performed. Results: Among 803 instrumental performers, 610 people (75.97%) were reported to one or more symptoms of TMD. The most frequent symptom was click (29.68%).70 subjects underwent a clinical examination and radiography survey results, the most frequent symptom was a click (29.75%). Most commonly diagnosed disease was a myofacial pain (30.53%).Comparison of the three groups, a significant difference was not observed in the clinical sign. But among subject symptom, muscle pains howed significant differences in accordance with the Group (P = 0.024). During the 70 people who underwent clinical examination, 66 people (94.3%) showed moderate to severe attrition, mild to severe tongue ridging, mild to severe cheek ridging assigns of parafunction. Conclusion: Instrumental performers showed a high prevalence of TMD and the most of the musicians with temporomandibular disorder had bruxism or clenching habits.

• (The) Research of the performance art and culture
• /
• no.36
• /
• pp.603-647
• /
• 2018

During the Japanese colonial era, Chosun Central Young Men's Christian Association Hall, Gyeongseong Public Hall, or Bumingwan was used as multipurpose space where various performances or events were held. Although traditional music performed in each of the places did influence the remaining of traditional music in existence as well as the vitalization of traditional musicians' activity, since these places were mostly for Western music or other genres, no research has been carried out to study the performance of traditional music there in detail. The purpose of this study is to understand the aspects of performing traditional music in multipurpose places mentioned above. Reviewing newspaper materials of the time, this author has examined the aspects of performing traditional music in each of those places in terms of the forms of performances performance programs performers as well as performing groups the aspects of development. First, this researcher considered in what forms traditional music was performed in each of the places mostly. About performance programs, this author divided them into instrumental music, vocal music court music, and folk music. Regarding performers, this study divided them into instrumental music and vocal music professional performers and unprofessional performers male and female master singers and gisaeng and figured out the importance of each of them in different places. Also, concerning the appearance of performers and performing groups, this researcher studied how it was associated with the space, and about the aspects of performance, how it was developed in different periods was examined. In that process, this author has learned that the aspects of performing traditional music in the space were significantly influenced by the characteristics of each space and has clearly and concretely understood performing programs as well as the aspects of performers and groups' activity. With this research as an opportunity, this author expects that research will be actively conducted on the performance of traditional music in each of the places that have not been studied yet and it can contribute to figuring out the development or trends of performing traditional music during the Japanese colonial era.

• Journal of the HCI Society of Korea
• /
• v.11 no.3
• /
• pp.23-30
• /
• 2016

The landscape of the current fitness trackers is not only limited to the aerobic exercises but also the weight training is comparatively excluded. Recently, a few weight training fitness tracker was released, human-computer interaction was not well designed due to the lack of considering the context. Because body movement would be intense while doing exercises, having exercise performers hold or operate a device makes a negative experience. As the wearable device is always inseparable to body, it could provide effective feedback because holding or operating a device is not necessary. Therefore, this study aims to make the exercise performers feel a natural feedback through the wearable device to do effective exercises. As a result, this study identified three findings. First, the information which exercise performers most needed was 'during exercise.' and the most necessary information for exercise performers through wearable device's sensory feedback was about 'pace control' with counting and motivation. Second, the order of the most preferred presentation type of sensory feedback was auditory feedback, haptic feedback and visual feedback. Third, the satisfaction, utility, usefulness score of sensory feedback as same as the personal trainer's feedback. In conclusion, this study illustrated the feedback design implications using a wearable device while doing weight training and the possibilities that wearable device could be substitute for personal trainer.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.8 no.2
• /
• pp.691-708
• /
• 2014

This paper formalizes a special type of social networking knowledge, which is called "workflow performer-role affiliation networking knowledge." A workflow model specifies execution sequences of the associated activities and their affiliated relationships with roles, performers, invoked-applications, and relevant data. In Particular, these affiliated relationships exhibit a stream of organizational work-sharing knowledge and utilize business process intelligence to explore resources allotting and planning knowledge concealed in the corresponding workflow model. In this paper, we particularly focus on the performer-role affiliation relationships and their implications as organizational and business process intelligence in workflow-driven organizations. We elaborate a series of theoretical formalisms and practical implementation for modeling, discovering, and visualizing workflow performer-role affiliation networking knowledge, and practical details as workflow performer-role affiliation knowledge representation, discovery, and visualization techniques. These theoretical concepts and practical algorithms are based upon information control net methodology for formally describing workflow models, and the affiliated knowledge eventually represents the various degrees of involvements and participations between a group of performers and a group of roles in a corresponding workflow model. Finally, we summarily describe the implications of the proposed affiliation networking knowledge as business process intelligence, and how worthwhile it is in discovering and visualizing the knowledge in workflow-driven organizations and enterprises that produce massively parallel interactions and large-scaled operational data collections through deploying and enacting massively parallel and large-scale workflow models.

• Journal of Internet Computing and Services
• /
• v.20 no.2
• /
• pp.101-108
• /
• 2019

Workflow management systems (WfMSs) automate and manage workflows, which are implementations of organizational processes operated in process-centric organizations. In this paper, wepropose an algorithm to discover temporal work transference networks from workflow execution logs. The temporal work transference network is a special type of enterprise social networks that consists of workflow performers, and relationships among them that are formed by work transferences between performers who are responsible in performing precedent and succeeding activities in a workflow process. In terms of analysis, the temporal work transference network is an analytical property that has significant value to be analyzed to discover organizational knowledge for human resource management and related decision-making steps for process-centric organizations. Also, the beginning point of implementinga human-centered workflow intelligence framework dealing with work transference networks is to develop an algorithm for discovering temporal work transference cases on workflow execution logs. To this end, we first formalize a concept of temporal work transference network, and next, we present a discovery algorithm which is for the construction of temporal work transference network from workflow execution logs. Then, as a verification of the proposed algorithm, we apply the algorithm to an XES-formatted log dataset that was released by the process mining research group and finally summarize the discovery result.

• The Korean Journal of Archival Studies
• /
• no.70
• /
• pp.119-156
• /
• 2021

The department of processing is one to supervise the care for documents and the transaction of business and is also the starting point for task and production of records. In the department of processing, it not only produces records but also performs most tasks including keeping on file, organizing, arranging the period of preservation and transferring. Despite the importance of this record management in the department of processing, the problem of record management in the department of processing is considered to the private problem such as lack of will of task performers. After investigating the importance of record management and the record management that task performers think through a survey, this study deducts the matters to improve in the task of record management at the institution.

• ETRI Journal
• /
• v.44 no.4
• /
• pp.654-671
• /
• 2022

Accidental falls frequently occur during activities of daily living. Although many studies have proposed various accident detection methods, no high-performance accident detection system is available. In this study, we propose a method for integrating data and accident detection algorithms presented in existing studies, collect new data (from two stunt performers and 15 people over age 60) using a developed wearable device, demonstrate new features and related accident detection algorithms, and analyze the performance of the proposed method against existing methods. Comparative analysis results show that the newly defined features extracted reflect more important risk factors than those used in existing studies. Further, although the traditional algorithms applied to integrated data achieved an accuracy (AC) of 79.5% and a false positive rate (FPR) of 19.4%, the proposed accident detection algorithms achieved 97.8% AC and 2.9% FPR. The high AC and low FPR for accidental falls indicate that the proposed method exhibits a considerable advancement toward developing a commercial accident detection system.

• Journal of the Korean Regional Science Association
• /
• v.9 no.1
• /
• pp.65-78
• /
• 1993

In this study, the significant and enduring concentration of federal R&D spending in metro-scale clusters across the nation is treated as evidence of the operation of a distinct industrial infrastructure defined by the ability of R&D performers to attract external funding and pursue the sophisticated project work demanded. It follows, then, that the agglomerative potential of these R&D concentrations -- performers and their support infrastructures -- requires a search for economic impacts guided by a different stimulative effects attributable to federal R&D spending may be that substantial subnational economic impacts are routinely obscured and diluted by research designs that seek to discover impacts either at the level of nation-scale economic aggregates or on firms or specific industries organized spatially. Therefore, this study proceeds by seeking to link the locational clustering of federal contract R&D spending to more localized economic impacts. It tests a series of models(X-IV) designed to trace federal contract R&D spending flows to economic impacts registered at the level of metro-regional economies. By shifting the focus from funding sources to recipient types and then to sector-specific impacts, the patterns of consistent results become increasingly compelling. In general, these results indicated that federal R&D spending does indeed nurture the development of an important nation-spanning advanced industrial production and R&D infrastructure anchored primarily by two dozed or so metro-regions. However, dominated as it is by a strong defense-industrial orientation, federal contract R&D spending would appear to constitute a relatively inefficient national economic development policy, at least as registered on conventional indicators. Federal contract R&D destined for the support of nondefense/civilian(Model I), nonprofit(Model II), and educational/research(Mode III) R&D agendas is associated with substantially greater regional employment and income impacts than is R&D funding disbursed by the Department of Defense. While federal R&D support from DOD(Model I) and for-profit(Model II) and industrial performer(Model III) contract R&D agendas are associated with positive regional economic impacts, they are substantially smaller than those associated with performers operating outside the defense industrial base. Moreover, evidence that the large-business sector mediates a small business sector(Model VI) justifies closer scrutiny of the relative contribution to economic growth and development made by these two sectors, as well as of the primacy typically accorded employment change as a conventional economic performance indicator. Ultimately, those regions receiving federal R&D spending have experienced measurable employment and income gains as a result. However, whether or not those gains could be improved by changing the composition -- and therefore the primary missions -- of federal R&D spending cannot be decided by merely citing evidence of its economic impacts of the kind reported here. Rather, that decision turns on a prior public choice relating to the trade-offs deemed acceptable between conventional employment and income gains, the strength of a nation's industrial base not reflected in such indicators, and the reigning conception of what constitutes national security -- military might or a competitive civilian economy.

• Journal of Internet Computing and Services
• /
• v.14 no.4
• /
• pp.63-72
• /
• 2013

Business Process Intelligence (BPI) is one of the emerging technologies in the knowledge discovery and analysis area. BPI deals with a series of techniques from discovering knowledge to analyzing the discovered knowledge in BPM-supported organizations. By means of the BPI technology, we are able to provide the full functionality of control, monitoring, prediction, and optimization of process-supported organizational knowledge. Particularly, we focus on the focal organizational knowledge, which is so-called the BPM activity-performer affiliation networking knowledge that represents the affiliated relationships between performers and activities in enacting a specific business process model. That is, in this paper we devise a statistical analysis method to be applied to the BPM activity-performer affiliation networking knowledge, and dubbed it the activity-performer correspondence analysis method. The devised method consists of a series of pipelined phases from the generation of a bipartite matrix to the visualization of the analysis result, and through the method we are eventually able to analyze the degree of correspondences between a group of performers and a group of activities involved in a business process model or a package of business process models. Conclusively, we strongly expect the effectiveness and efficiency of the human resources allotments, and the improvement of the correlational degree between business activities and performers, in planning and designing business process models and packages for the BPM-supported organization, through the activity-performer correspondence analysis method.