• Journal of Home Health Care Nursing
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• v.27 no.3
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• pp.344-355
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• 2020

Purpose: Recovery has a growing influence on policy for individuals with mental illness and their families. This study was designed to examine the meaning of recovery from the perspectives of community-dwelling patients with mental illness and their families. Methods: Using a descriptive qualitative approach, in-depth, face-to-face interviews were conducted on 24 adults (14 patients with mental illness and 10 family members). All interviews were audiotaped, transcribed and analyzed using thematic analysis. Results: The findings showed that recovery for the patients with mental illness suggested gradual changes by individual will and self-awareness, the relationship with both their family and self-help group, and the support of a therapeutic environment. Seven primary themes emerged from the analysis: improving insight on illness, strong will toward hope, discovering changed myself, helping each other together, gradual influence of positivity, being oriented to a therapeutic setting, and recognizing of home as a calm place. Conclusion: The findings of this study revealed that based on the conceptual elements of recovery of the patients with mental illness and their families, we expect to improve the systematic, comprehensive, and quality mental health services.

• The Journal of Industrial Distribution & Business
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• v.13 no.12
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• pp.43-57
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• 2022

Purpose: Despite the numerous studies on factors impacting pro-environmental behavior, actual studies analyzing a relationship between pro-environmental behavior and eco-friendly channels (e.g., local food market and farmers' market channel) usage behavior (visit and purchasing frequency) are rare. This study investigated the relationship between consumers with positive pro-environmental behavior and eco-friendly channels usage behavior. Research design, data and methodology: The study investigated the relationship between pro-environmental behavior and eco-friendly channels (local food markets and farmers market) visit behavior by analyzing data from the Korea Consumer Agency's 2021 Korea Consumption Life Index, with a focus on the pro-environmental index. Relationship between pro-environmental behavior and whether eco-friendly channels visit or not were analyzed. Demographic variables also influence eco-friendly oriented channels visit. Data analysis used hierarchical regression, firstly inputted pro-environmental behavior, and then demographic variables inputted, and finally pro-environmental behavior and demographics interactions as moderating variables inputted. Results: Consumer's with positive behavior towards pro-environment were indeed more likely to choose local food market and farmers' market compared to other consumers. Demographic variables also effect local food market visit. Some demographic variables moderate this relationship. The results, however, differed by channel type. Conclusions: Pro-environmental behavior is closely related to eco-friendly channels (local food market and farmers; market) visit.

• Journal of the Korean Crystal Growth and Crystal Technology
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• v.30 no.6
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• pp.264-270
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• 2020

Design was developed through user-oriented service design methodology and survey was conducted on material selection criteria for prototype production to select CFRP (Carbon Fiber Reinforced Plastics) CNT (Carbon Nano Tube), which was applied to animal X-ray detector panel to design product and develop prototype. Completed prototype with the application of CFRP CNT panel was tested in drop test, frontal external pressure test, and dustproof/waterproof performance to confirm that it can be utilized as a portable animal X-ray detector used in outdoor environment.

• Journal of the Korean Institute of Rural Architecture
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• v.23 no.2
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• pp.33-44
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• 2021

In this study, we investigated and analyzed changes about the landscape consciousness of Yeongam-gun residents, in chronological order. As a result, the landscape consciousness of 10 years ago and the present has not changed significantly. Also, the residents' consciousness of the Yeongam-gun landscape image has not changed from 10 years ago, and we recognize that it is necessary to preserve and form the natural landscape. As for the problem of urban landscape, the needs of residents for the development of urban infrastructure facilities and the development of tourist spots are higher than 10 years ago, and the problem of each landscape element is found as the formation and management of a road environment. It was found that the degree of satisfaction with the Yeongam landscape is generally below average, compared to 10 years ago. Residents' willingness to participate in landscape projects has changed as the number of respondents who do not want to participate has increased compared to 10 years ago, and the project method must be promoted by residents / administration / experts as one. The awareness is judged as administrative agencies need to change from the role of regulation-oriented in the past to the role of resident support and cooperation.

• International Journal of Naval Architecture and Ocean Engineering
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• v.12 no.1
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• pp.20-37
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• 2020

In this paper, we propose a simulation method based on backward simulation and process-oriented simulation to take into account the characteristics of shipbuilding production, which is an order-based industry with a job shop production environment. The shipyard production planning process was investigated to analyze the detailed process, variables and constraints of mid-term production planning. Backward and process-centric simulation methods were applied to the mid-term production planning process and an improved planning process, which considers the shipbuilding characteristics, was proposed. Based on the problem defined by applying backward process-centric simulation, a system which can conduct Discrete Event Simulation (DES) was developed. The developed mid-term planning system can be linked with the existing shipyard Advanced Planning System (APS). Verification of the system was performed with the actual shipyard mid-term production data for the four ships corresponding to a one-year period.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.105-118
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• 2021

As we enter the era of the 4th industrial revolution, information and communication technologies, including artificial intelligence and big data, are converging throughout society. Especially, as the importance of the social foundation of hyper-connection grows, the social influence of IoT, a network of connecting objects, people, and various entities, is also gradually expanding. In addition, as a pandemic, COVID-19, continues, interests in untact-oriented technology and service development are growing more than ever, and each company is trying to establish a core competency strategy to gain an edge in competition in the changing society. This study is a case study centered on Dawon DNS, a company that provides an IoT-based AI smart plug platform. Dawon DNS is broadening its services while developing products by applying advanced technologies, and this study is aiming to investigate the core competencies of the business evolution process. The obtained result of this study will provide implications for companies to become more competitive by suggesting the attitudes and strategies that startups should have during the transforming business environment.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.77-83
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• 2022

As users' needs for customized services increase, the service provision method is changing from a vertical structural service provision method to a horizontal structural service provision method. This paradigm shift has led to a change from the way existing users find the content they want to find and provide customized needs of users by content providers. With the recent development of smartphones and various AI technologies, demand for providing seamless services such as smartphones is increasing in automobiles. However, it is difficult to provide services in line with changes in this service paradigm because automobile services provide services centered on finished car manufacturers rather than individually providing services tailored to user needs. In this paper, we develop a Node-RED-based dynamic vehicle service simulation tool so that users can use the service they want in cars. The simulation tool developed provides a simulation environment for services authored by the user using NodeRed by writing, registering, and using NodeRed.

• The Korean Journal of Emergency Medical Services
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• v.26 no.1
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• pp.37-56
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• 2022

Purpose: This study aimed to identify and present suitable recognition types of policy alternative for before and after response, according to the recognition types of problems in response to violence. Methods: This study investigated 36 EMT's of 17 cities and provinces nationwide. The study was approved by the Kongju National University Institute Review Board (KNU_IRB_2021-17). Data were collected from May 1, 2021 to August 30, 2021 and analyzed by Q factor analysis using the PC-QUNAL program. Results: Recognition types of the problem in 119 EMT's response to violence were described as "I type; lack of professional manpower," "II type; inadequate policy on violence," and "III type; lack of awareness on the emergency field." Recognition types of policy alternative on response to violence by 119 EMT's were described as "Itype; training and public relations oriented," "II type; work environment improvement," "III type; violence handling specialization demand," and "IV type; recovery support seeker." Conclusion: This study provides the foundation required to develop and implement the policies regarding the response to violence; therefore, contributing to EMT's provision.

• Smart Structures and Systems
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• v.29 no.1
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• pp.53-62
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• 2022

The deployment of advanced structural health monitoring (SHM) systems in large-scale civil structures collects large amounts of data. Note that these data may contain multiple types of anomalies (e.g., missing, minor, outlier, etc.) caused by harsh environment, sensor faults, transfer omission and other factors. These anomalies seriously affect the evaluation of structural performance. Therefore, the effective analysis and mining of SHM data is an extremely important task. Inspired by the deep learning paradigm, this study develops a novel generative adversarial network (GAN) and convolutional neural network (CNN)-based data anomaly detection approach for SHM. The framework of the proposed approach includes three modules : (a) A three-channel input is established based on fast Fourier transform (FFT) and Gramian angular field (GAF) method; (b) A GANomaly is introduced and trained to extract features from normal samples alone for class-imbalanced problems; (c) Based on the output of GANomaly, a CNN is employed to distinguish the types of anomalies. In addition, a dataset-oriented method (i.e., multistage sampling) is adopted to obtain the optimal sampling ratios between all different samples. The proposed approach is tested with acceleration data from an SHM system of a long-span bridge. The results show that the proposed approach has a higher accuracy in detecting the multi-pattern anomalies of SHM data.

• Child Health Nursing Research
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• v.28 no.4
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• pp.234-246
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• 2022

Purpose: This study aimed to conduct a scoping review of studies on interventions for the prevention of safety accidents involving infants. Methods: The scoping review method by Arksey and O'Malley was used to conduct an overview based on information spanning a wide range of fields. Multiple electronic databases, PubMed, CINAHL, RISS, and KISS, were searched for articles written in English or Korean published from 2012 to the present on safety accident prevention interventions. A total of 2,137 papers were found, and 20 papers were ultimately analyzed. Results: Most studies were conducted in the United States (55.0%) and in the medical field (45.0%), and most were experimental studies (35.0%). The results were organized across five categories: 1) preventive precautions, 2) characteristics of children's developmental stages, 3) encouraging voluntary participation, 4) continuity of interventions, and 5) teaching methods. Conclusion: Safety accident prevention interventions should cover the establishment of a safe home environment, include voluntary participation, and provide routine follow-up interventions. Additionally, practical training and teaching methods that incorporate feedback rather than a lecture-oriented approach should be adopted.