• Journal of Korean Medicine Rehabilitation
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• v.33 no.4
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• pp.125-144
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• 2023

Objectives This study aimed to investigate domestic clinical research trends in Shinbaro pharmacopuncture, identify diseases managed using Shinbaro pharmacopuncture, and suggest the direction for future studies to increase its clinical utilization. Methods This study used five steps proposed by Arksey and O'Malley and the PRISMA-extension for scoping reviews checklist. We examined published literature on Shinbaro pharmacopuncture studies reported until June 5, 2023, in the following eight databases (Research Information Sharing Service, Science ON, Oriental Medicine Advanced Searching Integrated System, KMBASE, The Society of Internal Korean Medicine, PubMed, EMBASE, and the Cochrane Library). The search terms used were 'Shinbaro' or 'Sinbaro'. Results A total of 47 studies were included in our analysis. Of these, 37 (78.7%) were interference time series studies. Shinbaro pharmacopuncture was the most frequently used treatment for lumbosacral disease (n=15). In the facial area, ST4 and ST6 were used in five out of six studies, and in the shoulder area, TE14 and LI15 were used in all studies. Nine of the 15 studies in the lumbosacral area used the EX-B2. The other parts mostly used the pressure points. Compared to other pharmacopuncture methods, the treatment effect was similar to that of bee venom, and faster than that of jungsongouhyul. Conclusions This is the first scoping review of Shinbaro pharmacopuncture therapy in South Korea. Studies with a high level of evidence based on sole treatment, large capacities, and standardization of Shinbaro pharmacopuncture need to be conducted to increase its clinical utilization.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.207-216
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• 2024

As big data was built due to the 4th Industrial Revolution, personalized services increased rapidly. As a result, the amount of personal information collected from online services has increased, and concerns about users' personal information leakage and privacy infringement have increased. Online service providers provide privacy policies to address concerns about privacy infringement of users, but privacy policies are often misused due to the long and complex problem that it is difficult for users to directly identify risk items. Therefore, there is a need for a method that can automatically check whether the privacy policy is safe. However, the safety verification technique of the conventional blacklist and machine learning-based privacy policy has a problem that is difficult to expand or has low accessibility. In this paper, to solve the problem, we propose a safety verification technique for the privacy policy using the GPT-3.5 API, which is a generative artificial intelligence. Classification work can be performed evenin a new environment, and it shows the possibility that the general public without expertise can easily inspect the privacy policy. In the experiment, how accurately the blacklist-based privacy policy and the GPT-based privacy policy classify safe and unsafe sentences and the time spent on classification was measured. According to the experimental results, the proposed technique showed 10.34% higher accuracy on average than the conventional blacklist-based sentence safety verification technique.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.263-279
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• 2024

With the increasing trend of Cloud migration, security threats in the Cloud computing environment have also experienced a significant increase. Consequently, the importance of efficient incident investigation through log data analysis is being emphasized. In Cloud environments, the diversity of services and ease of resource creation generate a large volume of log data. Difficulties remain in determining which events to investigate when an incident occurs, and examining all the extensive log data requires considerable time and effort. Therefore, a systematic approach for efficient data investigation is necessary. CloudTrail, the Amazon Web Services(AWS) logging service, collects logs of all API call events occurring in an account. However, CloudTrail lacks insights into which logs to analyze in the event of an incident. This paper proposes an automated analysis framework that integrates Cloud Matrix and event information for efficient incident investigation. The framework enables simultaneous examination of user behavior log events, event frequency, and attack information. We believe the proposed framework contributes to Cloud incident investigations by efficiently identifying critical events based on the ATT&CK Framework.

• Journal of the Korea institute for structural maintenance and inspection
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• v.28 no.3
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• pp.100-107
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• 2024

Currently, in Korea, due to the rapid aging and deterioration of facilities, the minimum Maintenance Level and Performance Level' of facilities are required by the 'Facility Safety Act' or 'Infrastructure Management Act'. Since infrastructure assets have a long lifespan and the pattern of deterioration over time is complex, it is very difficult to maintain infrastructure as 'minimum maintenance state' or 'minimum performance state' by the current way of management. 'Asset Management' shall be performed not only by a technical perspective, but also by an accounting perspective such as cost and asset value. However, due to lack of awareness of 'asset management' among stakeholder, only technical perspective management is being carried out in practice. In order to effectively manage infrastructure assets, complex consideration of various asset value factors such as budget and service as well as safety and durability are required. In this paper, we presented a theory to evaluate and quantify the road network value for efficient asset management of the road network. We also presented a method of simulation to apply the theory presented in this paper. Through simulation and the results derived from this study, it is possible to specify the budget for the future national asset management, and to optimize the strategy for the management of old road facilities.

• Journal of The Korean Association For Science Education
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• v.28 no.4
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• pp.269-281
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• 2008

In Korea, the criteria for the requirements of a secondary school science teacher's certificate are based entirely on the subjects and/or areas as prescribed in laws for the teacher's licensure examination. However, the criteria do not account for the specific competencies or qualities that a good science teacher should possess. The objective of the research was to explore and suggest the three lists of the image of an ideal science teacher, science teacher's role and science teacher's competency that might be used to establish the criteria for science teachers' certificate and the curricular content for science teacher education in Korea. In order to achieve this objective, the study used such research methods as literature analysis, status survey in combination with on-line workshop, in-depth interview, and professional consultation. The participants in the research comprised of a group of 258 students (186 middle school students and 72 high school students) and 13 in-service science teachers (8 middle school science teachers, 5 high school science teachers) for questionnaire survey and on-line workshop, and 4 science teachers for in-depth interview. The list of the image of ideal science teacher, science teacher's role, science teacher's competency contains 44, 32, and 75 statements, respectively. Based on the results of the research, this paper suggested that the criteria for the Korean secondary school science teacher's certificate requirements be selected and organized in consideration of the teachers' competencies rather than the courses and/or subject areas. It is also implied in the paper that further research over a period of time is necessary for using the competencies for curricular contents and/or science teacher's certificate standards.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.159-167
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• 2024

This study analyzed the survey data of 162 rescuers working in G Special Self-Governing Province to find out the effect of the transactional and transformational leadership of 119 rescuer leaders on life satisfaction. As a result of analysis through multiple regression analysis, it was found that the life satisfaction of 119 rescuers was greatly influenced by the leadership style of their leaders. It has been confirmed that transformational and transactional leadership are not independent of each other, and that the appropriate balance of these two leadership approaches has a positive effect on the life satisfaction and organizational life of the rescuers. Therefore, the 119 rescuers' team leaders should create an environment in which transformational and transactional leadership can be balanced. Specifically, transformational leadership should be exercised through individualized consideration, intellectual stimulation, and inspirational motivation, while at the same time improving transactional leadership by establishing a reward system based on performance. Through this, it is expected that the quality of rescue service at the site will be improved by increasing the life satisfaction of 119 rescuers and laying the foundation for them to demonstrate their potential capabilities. The findings of this study provide practical implications for improving the quality of life and organizational performance of 119 rescuers.

• Journal of Advanced Navigation Technology
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• v.27 no.6
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• pp.835-840
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• 2023

RFID(Radio Frequency Identification) systems are attracting attention as a key component of Internet of Things technology due to the cost and energy efficiency of application services. In order to use RFID technology in the IoT application service field, it is necessary to be able to store and manage various information for a long period of time as well as simple recognition between the reader and tag of the RFID system. And in order to read and write information to tags, a performance improvement technology that is strong and reliable in poor wireless channels is needed. In particular, in the UHF(Ultra High Frequency) RFID system, since multiple tags communicate passively in a crowded environment, it is essential to improve the recognition rate and transmission speed of individual tags. In this paper, Middleton's Class A impulsive noise model was selected to analyze the performance of the RFID system in an impulsive noise environment, and FM0 encoding and Miller encoding were applied to the tag to analyze the error rate performance of the RFID system. As a result of analyzing the performance of the RFID system in Middleton's Class A impulsive noise channel, it was found that the larger the Gaussian noise to impulsive noise power ratio and the impulsive noise index, the more similar the characteristics to the Gaussian noise channel.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.149-156
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• 2024

The increased intelligence and speed of vehicle infotainment, whose main purpose was emergency and external communication, is showing the potential for application to various services such as navigation and autonomous driving. In particular, functionality for linking external devices and infrastructure is being strengthened due to advances in communication and networks. Under this trend, it is necessary to consider the direction of linkage with the cooperative intelligent transportation system (C-ITS) for advanced vehicle services and driving. In addition, in the case of automobiles, future vehicle development concepts are being established based on the concept of software-defined vehicles (SDVs) in line with the trend of electrification beyond telematics and infotainment advancements, and such SDV linkage must be considered at the same time. In this paper, we consider the future direction of ITS and SDV linkage based on analysis of vehicle infotainment structure. First, for this purpose, we analyze the existing vehicle infotainment structure and architecture, and also present the structure of the SDV linked to it. Based on this, analysis and implications are drawn on the possibility of applying and linking standard-based C-ITS services with SDV devices.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.1
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• pp.93-105
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• 2024

Car-sharing is a representative model of the sharing economy, and it is a service that rents or uses a car for the necessary time without owning a car. This industry is growing due to various factors such as technological advances, increasing awareness of environmental protection, and increasing demand for solving traffic congestion problems in cities. Accordingly, there is a need for a strategic approach for companies providing car-sharing services to respond quickly to market changes in order to expand market share and differentiate services. Accordingly, this study conducted a case study on open innovation activities between Gongcar and existing rental car companies, focusing on the research question "What effects do open innovation activities between car-sharing companies and existing rental car companies cause?" As a result of the study, it was confirmed that Gongcar have (1) the ability to actively respond to market fluctuations by establishing a flexible vehicle supply chain based on demand, (2) have significantly reduced growth capital expenditure (Growth Capex), and both cafe and rental car companies have (3) performed successful open innovation by improving key KPI indicators and recording financial performance. This study reveals how open innovation acts as a key business growth engine in the car-sharing industry, and its significance is found in that it empirically confirmed the successful implementation conditions of open innovation based on resource dependence theory.

• Journal of Korean Tunnelling and Underground Space Association
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• v.25 no.6
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• pp.569-582
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• 2023

In recent years, the service life of major SOC facilities in south korea has exceeded 30 years, and rapid aging is expected within the next 10 years. This has led to a growing recognition of the need for proactive maintenance of these facilities. Consequently, there have been numerous research efforts to introduce smart inspection technologies into maintenance. However, the current system relies primarily on manpower for safety inspections and diagnostics, and on-site surveys rely on visual inspections. Manpower inspections can be time-consuming, and subjective errors may occur during result analysis. In the case of tunnels, there are disadvantages, such as the loss of social overhead capital due to partial closures during inspections. Therefore, institutionalizing smart safety inspections is essential, considering specific measures like using advanced equipment and updating qualifications for experts. Furthermore, it is necessary to verify and validate safety inspection results using advanced equipment before instituting changes. This could be achieved through national-level official research programs and the operation of verification and validation institutions. If smart inspection technology is introduced into maintenance, routine inspections of SOC facilities, such as tunnels, will become feasible. As a result, maintenance technology capable of early detection and proactive response to safety incidents caused by changes in facility conditions is anticipated.