• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.35 no.1
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• pp.48-57
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• 2022

Objectives : The purpose of this review study is to identify clinical indications of Hwangryunhaedok-tang(HHT) external application and to suggest directions for future research and treatment by analyzing domestic cases applying HHT external treatment except for pharmacopuncture research. Methods : We searched 235 studies published in Korean since 2000 from four domestic databases: Oriental Medicine Advanced Searching Integrated System(OASIS), Research Information Sharing Service(RISS), Korean Traditional Knowledge Portal(KTKP), and Korean studies Information Service Systems(KISS) using keywords such as 'HTT and external use', 'HHT and external agent' 'HHT and wet dressing', or 'HHT and case'. We excluded duplicate papers, papers related to acupuncture including pharmacopuncture, or papers not related to the topic. Results : We selected and analyzed seven case reports. HHT external agent was used alone in one case, as main treatment in two cases, and as adjuvant treatment in four cases. HHT external application was applied to various skin diseases accompanied by inflammation mainly in the form of wet dressings. Conclusion : HHT external agent may be effective on various skin diseases accompanied by inflammation when applied alone or in combination with other agents according to the treatment stage. Based on this results, further studies will be needed to establish the primary clinical indication of HHT external agent.

• Journal of Korean Academy of Nursing
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• v.52 no.4
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• pp.378-390
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• 2022

Purpose: This study developed an in-service training program for patient safety and aimed to evaluate the impact of the program on nurses in the operating room (OR). Methods: A pretest-posttest self-controlled survey was conducted on OR nurses from May 6 to June 14, 2020. An in-service training program for patient safety was developed on the basis of the knowledge-attitude-practice (KAP) theory through various teaching methods. The levels of safety attitude, cognition, and attitudes toward the adverse event reporting of nurses were compared to evaluate the effect of the program. Nurses who attended the training were surveyed one week before the training (pretest) and two weeks after the training (posttest). Results: A total of 84 nurses participated in the study. After the training, the scores of safety attitude, cognition, and attitudes toward adverse event reporting of nurses showed a significant increase relative to the scores before the training (p < .001). The effects of safety training on the total score and the dimensions of safety attitude, cognition, and attitudes toward nurses' adverse event reporting were above the moderate level. Conclusion: The proposed patient safety training program based on KAP theory improves the safety attitude of OR nurses. Further studies are required to develop an interprofessional patient safety training program. In addition to strength training, hospital managers need to focus on the aspects of workflow, management system, department culture, and other means to promote safety culture.

• Journal of Korean Society of Rural Planning
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• v.28 no.3
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• pp.49-59
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• 2022

Recently, Korea aimed to increase water use efficiency by implementing integrated management according to the water management unification policy. Considering the enormous use of water resources in the agricultural sector, it is necessary to efficiently conserve water in terms of demand management by intensifying the stakeholders' involvement and awareness campaigns. The existing agricultural water management system in Korea is based on a top-down approach by which the government agencies directly plan budgets and policies to be enforced on and implemented by farmers, with little to no involvement of farmers in the decision-making process. However, this process has hindered the desired water resources management and the water conservation goal at the field level. Moreover, the limited research on water governance operations focusing on agricultural water creates a knowledge gap, particularly in Korea. Thus, it is necessary to investigate water governance cases with successful implementations in agricultural and rural areas to identify the factors applicable to domestic governance in Korea. In addition, a more systematic governance model should be established by identifying the subjectivity of the stakeholders' involvement in agricultural water governance. Therefore, this study proposed a new bottom-up model for agricultural water governance, which aims to raise the problem of autonomous water governance while promoting stakeholders' voluntary participation in agricultural water management and reflecting farmers' involvement in the decision-making process. Moreover, if agricultural water governance is expanded nationwide by reflecting agricultural and water resource policies in the future, it is believed that positive effects can be achieved in increasing utilization efficiency and securing sustantiality through agricultural water saving.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.142-149
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• 2022

This study attempts to analyze the economic impact of the service robot industry using Input-Output analysis, which is conducted based on Demand-driven model, the Leontief price model, the Backward and Forward Linkage Effects, and the Exogenous Methods. In a Demand-driven model analysis, we can conclude that the service robot industry contains characteristics of both the manufacturing industry and the service industry, which causes a positive impact on the overall industry by compensating for the weaknesses of the two industries. The Leontief price analysis indicates when wages in the service robot industry increase, prices related to robot manufacturing also increase. Also, when profits in the service robot industry increase, prices related to service provision increase, too. The Backward and Forward Linkage Effects analysis shows that the service robot industry is highly sensitive to the current economic condition and has a great influence on the service industry. The service robot industry can highlight the aspect of service characteristics when the manufacturing industry is in recession and vice versa. In addition, the service robot industry can be regarded as a value-adding and domestic economy promoting industry which utilizes knowledge of information and communication technologies. It is important to foster the service robot industry in South Korea, which is in economic recession to provide an opportunity to stimulate the growth of both service and robot industries.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.185-196
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• 2022

The Internet of Things (IoT) has become more and more widespread in recent years, thus attackers are placing greater emphasis on IoT environments. The IoT connects a large number of smart devices via wired and wireless networks that incorporate sensors or actuators in order to produce and share meaningful information. Attackers employed IoT devices as bots to assault the target server; however, because of their resource limitations, these devices are easily infected with IoT malware. The Distributed Denial of Service (DDoS) is one of the many security problems that might arise in an IoT context. DDOS attempt involves flooding a target server with irrelevant requests in an effort to disrupt it fully or partially. This worst practice blocks the legitimate user requests from being processed. We explored an intelligent intrusion detection system (IIDS) using a particular sort of machine learning, such as Artificial Neural Networks, (ANN) in order to handle and mitigate this type of cyber-attacks. In this research paper Feed-Forward Neural Network (FNN) is tested for detecting the DDOS attacks using a modified version of the KDD Cup 99 dataset. The aim of this paper is to determine the performance of the most effective and efficient Back-propagation algorithms among several algorithms and check the potential capability of ANN- based network model as a classifier to counteract the cyber-attacks in IoT environments. We have found that except Gradient Descent with Momentum Algorithm, the success rate obtained by the other three optimized and effective Back- Propagation algorithms is above 99.00%. The experimental findings showed that the accuracy rate of the proposed method using ANN is satisfactory.

• International Journal of Computer Science & Network Security
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• v.22 no.12
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• pp.153-159
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• 2022

The article discusses the use of smart technologies in the training of future specialists. Today, learning using smart technologies is becoming a new educational standard, where information is presented in a logical sequence, computer training systems have powerful functions for the educational process. The functions of smart technologies are highlighted. It is noted that smart technologies are successfully used in the field of education and professional training. The concept of "smart education" is characterized. Smart education is an educational paradigm that underlies a new type of education system. The implementation of the smart education paradigm is aimed at the process of obtaining competencies and competencies for flexible and adapted interaction with the social, economic and technological environment. Smart education should ensure that the benefits of the global information society can be used to meet educational needs and interests. A special place is occupied by computer-based educational multimedia systems that allow you to deepen your knowledge, reduce the duration of training, and increase the number of students per teacher. The main principles of smart education are highlighted. Improving the efficiency of training in a modern higher education institution is impossible without the introduction of smart technologies in the organization of the educational process.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.3
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• pp.119-141
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• 2023

The COVID-19 pandemic has significantly changed the landscape of knowledge and information services that public libraries around the world have been providing since modern times. In particular, as social distancing has become routine, the contraction of cultural activities and the shift to online platforms have negatively impacted library visitation and use services, greatly reducing borrowing and reading, use of spaces and facilities, interlibrary loan services, program operations, and outreach services. Therefore, this study investigated and analyzed the current status of services provided by public libraries in Korea and abroad in response to COVID-19, and proposed practical ways to improve and expand services in response to COVID-19 based on the results of a survey of librarians' perceptions. Specifically, these include improving the online reservation system for reading and borrowing services and developing and providing various outreach services, acquiring and expanding electronic resources, expanding online program services (reading, culture, lifelong learning, etc.), strengthening library services for vulnerable populations, providing information portal services related to new infectious diseases, strengthening facilities and space provision services, preparing infectious disease response guidelines, and providing education and training to strengthen librarians' capabilities.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.29-58
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• 2023

The knowledge and technological competitiveness produced by universities determines a country's scientific technology and industrial competitiveness. The aim of this study is to find the evolution of Triple Helix Model (THM) by analyzing cases of technological catching-up and nurturing the human capital policies during Korea industrialization era, from 1960 to 2020. To fulfill the aims, this study utilized qualitative methodologies. In this study not only the process of acquiring technologies and core technologies but also the system for nurturing the human capital focused on scientific and engineers was analyzed. In addition characteristics of each ear of Triple Helix Model (THM) were examined. From the results, this study suggests Triple Helix Syncro-Scenario (THSS) which is the compelling innovation model, based on scenario, combined the personal experiences various critical thoughts and problems with enterprises and government for creating the incessment innovations.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.37-48
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• 2009

Household service robots should be able to provide their users with a variety of temporal reasoning services. In this paper, we propose an effective way of developing such temporal reasoning services using a domain-independent AI planner. Developing temporal reasoning services with a domain-independent AI planner, we have to address both the knowledge engineering problem of how to represent various real-world temporal constraints in a planning domain definition language, and the system design problem of how to realize the interface between the AI planner and the service consumer. In this paper, we introduce an example scenario and a set of typical temporal constraints for a household service robot, and then present how to represent them in the standard planning domain definition language. We also explain how to implement a service agent based on an AI planner in order to develop and provide new services efficiently.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3409-3416
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• 2023

Licensing the next-generation of nuclear reactor designs requires extensive use of Modeling and Simulation (M&S) to investigate system response to many operational conditions, identify possible accidental scenarios and predict their evolution to undesirable consequences that are to be prevented or mitigated via the deployment of adequate safety barriers. Deep Learning (DL) and Artificial Intelligence (AI) can support M&S computationally by providing surrogates of the complex multi-physics high-fidelity models used for design. However, DL and AI are, generally, low-fidelity 'black-box' models that do not assure any structure based on physical laws and constraints, and may, thus, lack interpretability and accuracy of the results. This poses limitations on their credibility and doubts about their adoption for the safety assessment and licensing of novel reactor designs. In this regard, Physics Informed Neural Networks (PINNs) are receiving growing attention for their ability to integrate fundamental physics laws and domain knowledge in the neural networks, thus assuring credible generalization capabilities and credible predictions. This paper presents the use of PINNs as surrogate models for accidental scenarios simulation in Nuclear Power Plants (NPPs). A case study of a Loss of Heat Sink (LOHS) accidental scenario in a Nuclear Battery (NB), a unique class of transportable, plug-and-play microreactors, is considered. A PINN is developed and compared with a Deep Neural Network (DNN). The results show the advantages of PINNs in providing accurate solutions, avoiding overfitting, underfitting and intrinsically ensuring physics-consistent results.