• The Journal of Korean Academic Society of Nursing Education
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• v.29 no.3
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• pp.319-334
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• 2023

Purpose: This study investigated the prevalence and perceptions of workplace violence against registered nurses (RNs) in hospitals. Methods: One thousand RNs replied to a nationwide survey from November 14 to December 22, 2022. They reported their general characteristics, prevalence of and their responses to different types of workplace violence from patients, family caregivers, physicians, and nurse peers, as well as their perceptions of workplace violence management systems. Results: A total of 71.1% of the RNs reported that they had experienced workplace violence in the last six months. The violence and sexual harassment experienced from patients and family caregivers were 57.3% and 19.1%, respectively. Furthermore, violence, sexual harassment, and workplace harassment from physicians were experienced by 24.6%, 4.0%, and 7.4%, respectively, of the RNs, and those from nurse peers by 21.4%, 3.1%, and 11.3%, respectively. The RNs stated that they often responded to workplace violence with passive and inactive behaviors, which were more serious toward physicians' workplace violence or sexual harassment from different perpetrators. Only 69.5% were aware of their hospital's workplace violence management systems, while only 14.7%~27.4%, according to the type of hospital (p=.471), perceived the systems as effective. Multiple important strategies were identified to prevent workplace violence. Conclusion: Critical suggestions are discussed for the prevention of workplace violence, including protecting the human rights of healthcare professionals, inter-organizational collaboration, and a culture of person-centered healthcare, and training nurse managers' competency in managing workplace violence.

• Safety and Health at Work
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• v.14 no.1
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• pp.50-58
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• 2023

Background: Occupational health services are not available for more than 80% of the global workforce. This pertains especially to informal workers, workers in agriculture and in small enterprises, and self-employed. Many are working in hazardous conditions. The World Health Organization, the International Labor Organization, the International Commission on Occupational Health, and the World Organization of Family Doctors promote as part of a solution, basic occupational health services (BOHS) integrated in primary or community health care. Quality information on this topic is difficult to find. The objective of this study is to develop an open access bibliography, a repository, referring to publications on BOHS and similar innovations, to support progress and research. Methods: The database design and sustaining literature searches (PubMed, Google Scholar, SciELO) are described. For each publication selected, basic bibliographic data, a brief content description considering copyright restrictions, and a hyperlink are included. Results: Searches resulted in a database containing 189 references to publications on BOHS such as articles in scientific journals, reports, policy documents, and abstracts of lectures. A global perspective is applied in 43 publications, a national or regional perspective is applied in 146 publications. Operational and evaluative research material is still scarce. Examples of references to publications are shown. Conclusion: The repository can inspire pioneers by showing practices in different countries and can be used for reviews and in-depth analyses. Missing publications such as from China, Russia, Japan, Republic of Korea, and Spanish/Portuguese speaking countries, can be added in the future, and translated. Search functions can be developed. International collaboration for the promotion of occupational health coverage for all workers must be intensified.

• Design Convergence Study
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• v.16 no.5
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• pp.125-140
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• 2017

This study explores potential capability of a machine learning approach for monitoring urban morphology based on an evident case study. The case study conveys year 2006 investigations on interpreting urban morphology of Boston Main Streets by applying a machine learning approach. From the lesson of the precedent study, in 2016, another field research and interview was conducted to compare changes in urban situation, data commons culture, and technology innovation during the decade. This paper describes open possibilities to advance urban monitoring for morphological changes. Most of all, a multi-participatory data platform enables managing urban data system in real time. Second, collaboration with machines with artificial intelligence can intervene the framework of the urban management system as well as transform it through new demands of innovative industries. Recently, urban regeneration became a dominant urban planning strategy in Korean, therefore, urban monitoring is on demand. It is timely important to correspond to in-situ problems based on empirical research.

• Journal of Internet of Things and Convergence
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• v.9 no.6
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• pp.37-44
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• 2023

As a primary technology of Industry 4.0, human-robot collaboration (HRC) requires additional measures to ensure worker safety. Previous studies on avoiding collisions between collaborative robots and workers mainly detect collisions based on sensors and cameras attached to the robot. This method requires complex algorithms to continuously track robots, people, and objects and has the disadvantage of not being able to respond quickly to changes in the work environment. The present study was conducted to implement a web-based platform that manages collaborative robots by recognizing the emotions of workers - specifically their perception of danger - in the collaborative process. To this end, we developed a web-based application that collects and stores emotion-related brain waves via a wearable device; a deep-learning model that extracts and classifies the characteristics of neutral, positive, and negative emotions; and an Internet-of-things (IoT) interface program that controls motor operation according to classified emotions. We conducted a comparative analysis of our system's performance using a public open dataset and a dataset collected through actual measurement, achieving validation accuracies of 96.8% and 70.7%, respectively.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.3
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• pp.1-10
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• 2011

Social network service is defined as an online service or communication service based on social relations among people applied the concept of social network. Social collaborative service included in social network service is characterized by the new value of modified content or recreated content made through collaborative creation process between members of the group. It has the remarkable merits such as sharing and collaboration. But, at the same time, it has the latent problems such as content reuse or copy that is not allowed for members to use. It has been emerged that UCC which is a typical example of recreated or modified content has the copyright issues in both creation and publishing step. To resolve this matter, we don't have many appropriate methods except CCL so far. So, in this paper, we define the problem and implement the UCC metadata manager to control metadata reflecting the feature of UCC. We draw the reference metadata element to identify original content utilized re-creation process. After that we define the R.Metadata Loader module based on the use case. Finally, the proposed UCC metadata manager provides the information of referenced content and lets us to identify the relationship between reference contents. So as to implement prototype, we use Kaltura which is CMS using open source and obtain functional extensibility of metadata manager by using open API.

• Journal of Gastric Cancer
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• v.20 no.2
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• pp.190-201
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• 2020

Purpose: This study sought to investigate the prognostic significance of tumor-infiltrating lymphocytes (TILs) in relation to tumor location within the stomach. Materials and Methods: The densities and prognostic significance of TIL subsets were evaluated in 542 gastric cancer patients who underwent gastrectomy. Immunohistochemical staining for CD3, CD4, CD8, forkhead/winged helix transcription factor (Foxp3), and granzyme B was performed. Results: Cardia cancer was associated with significantly lower densities of CD8 T-cells and higher densities of Foxp3 and granzyme B T-cells than non-cardia tumors. Multivariate analysis showed that advanced age (hazard ratio [HR], 1.023; 95% confidence interval [CI], 1.006-1.040), advanced T classification (HR, 2.029; 95% CI, 1.106-3.721), lymph node metastasis (HR, 3.319; 95% CI, 1.947-5.658), low CD3 expression (HR, 0.997; 95% CI, 0.994-0.999), and a high Foxp3/CD4 ratio (HR, 1.007; 95% CI, 1.001-1.012) were independent predictors of poor overall survival in cardia cancer patients. In non-cardia cancer patients, total gastrectomy (HR, 2.147; 95% CI, 1.507-3.059), advanced T classification (HR, 2.158; 95% CI, 1.425-3.266), lymph node metastasis (HR, 1.854; 95% CI, 1.250-2.750), and a low Foxp3/CD4 ratio (HR, 0.978; 95% CI, 0.959-0.997) were poor prognostic factors for survival. Conclusions: The densities and prognostic effects of TILs differed in relation to the location of tumors within the stomach. The contrasting prognostic effects of Foxp3/CD4 ratio in cardia and non-cardia gastric cancer patients suggests that clinicians ought to consider tumor location when determining treatment strategies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.8 no.4
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• pp.57-66
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• 2013

Domestic PCB industry formed by orders of demand companies is extremely vulnerable in its innovation infrastructure including high value-added technology development and information exchange. The majority of PCB products produced in the country relies on the imports from abroad and it causes its vulnerability to external market changes. Due to the negative perceptions about the industry (e.g., 3D job), low treatment (especially SMEs) and expertise employment avoidance in PCB industry, the job market conditions of PCB industry is not so good. In these circumstances, the PCB industry is completely dependent on the demand market such as cellular phones, and tablet PC, and as a result the responsiveness of PCB industry to the changes in demand market is also vulnerable. In this PCB industry, Korean government is trying to build the research infrastructure for PCB industry that realizes the sharing of information among companiesthrough the operation of the PCB industry innovation forum (information innovation), builds SME suppot platform and supports quality improvement (technology innovation), and supports enterprise collaboration processes (material-process-equipment) utilizing PCM open laboratory. The PCB industry technology infratstructure project is going to be promoted by the government(1.3 billion won, each year) and the private investmen(434 million won each year) from 2013 to 2017(5 years project)(table 1). This study analyzes the feasibility of the project, by using the AHP analysis and the results shows that this project is considered feasible because the AHP overall score is evaluated as 0.841, the overall score is greater than or equal to 0.55.

• Journal of Hospice and Palliative Care
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• v.21 no.2
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• pp.41-50
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• 2018

Spirituality is an essential part of human beings. Spiritual care, designed to meet the spiritual needs of terminally ill patients and their families, is one of the most important aspects of hospice and palliative care (HPC). This study reviewed and analyzed literature utilizing the most commonly used Korean and international healthcare databases to identify care models that adequately address the spiritual needs of terminally ill patients and their families in practice. The results of this study show that spirituality is an intrinsic part of humans, meaning that people are holistic beings. The literature has provided ten evidence-based theories that can be used as models in HPC. Three of the models focus on how the spiritual care outcomes of viewing spiritual health, quality of life, and coping, are important outcomes. The remaining seven models focus on implementation of spiritual care. The "whole-person care model" addresses the multidisciplinary collaboration within HPC. The "existential functioning model" emphasizes the existential needs of human beings. The "open pluralism view" considers the cultural diversity and other types of diversity of care recipients. The "spiritual-relational view" and "framework of systemic organization" models focus on the relationship between hospital palliative care teams and terminally ill patients. The "principal components model" and "actioning spirituality and spiritual care in education and training model" explain the overall dynamics of the spiritual care process. Based on these models, continuous clinical research efforts are needed to establish an optimal spiritual care model for HPC.

• The Korean Journal of Archival Studies
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• no.14
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• pp.241-288
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• 2006

For cope with the participating government promoted local decentralization of the present time, local governments are coming to aim at the realization of local governance. Local governance refers to a way of solving public problems of urban area through partnership which is a collaboration and participation based on 'relationship' among diverse interested parties such as executive authority of policy, private sectors. First of all, it is most important task to make transparency and responsibility of all people and networks by themselves through sharing information. With like this kind of a background, local assembly is an momentos body of local governance because it is a decision making organization at the same time as a representative organization of local residents, and it has a relationship of 'check and balance' with chiefs of local governments as an organization monitoring and supervising the administration of an executive authority. Not the less, information about local assembly does not open to the public or exist. Even some informations open to the public, they are not enough to be settled distrust and low-valuation by civil society. Now Local assembly is face to a point that improve over all of record management. This study is based like this critical mind, then, it examines throughly local assembly's realities by suggestion with reforming plan of record management. Record can embody true values when record management practices indefatigably through prudential system from production until preservation. Accordingly, this study suggests management of transaction unit without the omission of record. Also this study is satisfy the condition of Korean record management system with proposals of record management policy and establishment of record center. At the conclusion of study, it puts effects into shape that local assembly secure transparency and responsibility and organize local governance by record management.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.