• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.1
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• pp.3-15
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• 2005

As a large quantity of information is presented in XML format on the web, there are increasing demands for XML security. Research area or n security is about Encryption Digital signature, Key management and Access control. until now research on U security has been focused on the security of data network using digital signature and encryption technology. As XML data become extensive and complex XML security comes to involve not only network security but also managerial security. Managerial security is guaranteed through access control. But XML Encryption supports simple network security. So it can't support multiple users and multiple access control policies. In this paper, we propose an integration method of encryption and access control policy for securing XML documents. This methodology can supper multiple authorizations of multiple users with integrating access control. And this can reduce the cost of evaluation process of the existing complicated access authorization with pre-processing.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.1
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• pp.44-49
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• 2021

Recently, due to COVID-19, studies have been popularly worked to apply neural network to mask wearing automatic detection system. For applying neural networks, the 1-stage detection or 2-stage detection methods are used, and if data are not sufficiently collected, the pretrained neural network models are studied by applying fine-tuning techniques. In this paper, the system is consisted of 2-stage detection method that contain MTCNN model for face recognition and ResNet model for mask detection. The mask detector was experimented by applying five ResNet models to improve accuracy and fps in various environments. Training data used 17,217 images that collected using web crawler, and for inference, we used 1,913 images and two one-minute videos respectively. The experiment showed a high accuracy of 96.39% for images and 92.98% for video, and the speed of inference for video was 10.78fps.

• Journal of Korean Society of Rural Planning
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• v.27 no.1
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• pp.9-20
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• 2021

In order to develop practical indicator that can diagnose the regional conditions and characteristics of fishing villages, this study reviewed domestic and foreign researches and selected the diagnostic indicator of fishing villages by spatial unit. The major categories are divided into population and society, economic conditions, and living conditions. The middle categories consists of population, household, industry, tourism, settlement, environment, safety, health and welfare, education, and culture and leisure. The indicator were selected with reference to the existence of statistical data officially provided according to the spatial range(Si/Gun, eup/myeon, village). Based on the selected indicator, the test evaluation was conducted in Jindo-gun, Jeollanam-do by applying data that can be obtained from KOSIS and web GIS. It is judged that the diagnostic indicator developed through this research can be used in various ways from the planning stage to the implementation stage of the regional development project, such as grasping the current conditions, setting improvement targets, promotion and evaluation/monitoring of the project. In addition, it is expected that it will be possible to carry out regional diagnosis for each spatial unit and to plan and implement regional development projects by giving priority to areas where the level of each department is insufficient.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.949-955
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• 2022

Deep learning-based text summarization models are not free from datasets. For example, a summarization model trained with a news summarization dataset is not good at summarizing other types of texts such as internet posts and papers. In this study, we define this phenomenon as Data Bias Problem (DBP) and propose two training methods for solving it. The first is the 'proper nouns masking' that masks proper nouns. The second is the 'length variation' that randomly inflates or deflates the length of text. As a result, experiments show that our methods are efficient for solving DBP. In addition, we analyze the results of the experiments and present future development directions. Our contributions are as follows: (1) We discovered DBP and defined it for the first time. (2) We proposed two efficient training methods and conducted actual experiments. (3) Our methods can be applied to all summarization models and are easy to implement, so highly practical.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.39-50
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• 2022

The Purpose of this study was to confirm the effects of Active learning application on thecritical thinking disposition, problem-solving ability, and self-leadership of nursing students in the online health assessment practice course in the COVID-19 pandemic situation. Data collection was conducted from September 1st to December 17th, 2021 for 78 nursing students in the Department of Nursing at University D, and the collected data was analyzed using the SPSS/WIN 20 program. As a result of this study, the critical thinking disposition (t=-2.11 p=.038) and self-leadership (t=-2.07 p=.042) were statistically significantly increased after active learning was applied to the online nursing health assessment practice class. SOAP, Outcome-Present-Test(OPT) worksheet, clinical reasoning webs, mind map writing are confirm to improve critical thinking disposition, problem solving ability, self-leadership of nursing student, so research to confirm the effect in face to face classed should be conducted.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.431-435
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• 2022

The fields of STEM (Science, Technology, Engineering and Medicine) are changing rapidly. Recently, with the remarkable development of Internet and Web technologies, an environment that can be accessed worldwide has been created, thereby lowering the barriers to share STEM knowledge and information. The purpose of this study is to derive improvements by evaluating users' satisfaction with the information system developed by applying the open access model in the STEM field. Through an online survey using a structured questionnaire, a total of 204 users participated from January to February. The collected data were analyzed using quantitative statistical techniques. IPA (Importance Performance Analysis) technique was used. By identifying the importance and satisfaction (performance) between variables, areas with relatively low satisfaction compared to importance were derived. Users' overall satisfaction with the open access information system was 81.2 points and social reliability was 85.9 points, which were relatively high, respectively. What should be paid attention to in this study is the satisfaction with the system use environment, which is the most vulnerable area.

• Journal of Pharmacopuncture
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• v.26 no.3
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• pp.227-237
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• 2023

Objectives: Pharmacopuncture is considered a unique new type of acupuncture in Korean medicine (KM). This study was performed to investigate the research trends regarding pharmacopuncture through a bibliometric analysis using VOSviewer. Methods: The Web of Science Core Collection was searched for this study. The search terms were pharmacopuncture and pharmaco-puncture. The search was conducted on May 23, 2023, and 185 studies retrieved up to this date were included. Software VOSviewer version 1.6.19 was used to perform the bibliometric analysis. After data clearing, keyword co-occurrence and cooperation pattern analyses were performed. Results: The number of studies on pharmacopuncture have gradually increased since the mid-2000s, with the most published in 2020 (46 studies). The quality of the studies has also steadily increased, and recently, several randomized controlled trials of pharmacopuncture have been conducted. Moreover, this treatment has been investigated in the context of KM clinical practice guideline development in Korea. The scope of pharmacopuncture studies to date seems to be limited to musculoskeletal pain and bee venom pharmacopuncture. The researchers from Jaseng Medical Foundation have been the core researchers in the field of pharmacopuncture in Korea. They collaborated with researchers from universities or government-funded research institutes. However, small-scale research teams from KM clinics and university researchers were also identified as independent clusters. Conclusion: Pharmacopuncture research has grown both quantitatively and qualitatively, but the scope needs to be further expanded. There is also a gap between the use of pharmacopuncture by KM doctors in clinical settings and pharmacopuncture research. Based on these findings, some suggestions for future studies in this field are discussed. Furthermore, these findings may be used as data to expand and globalize pharmacopuncture research in the future.

• The Korean Journal of Pain
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• v.36 no.4
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• pp.425-440
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• 2023

Background: Muscimol's quick onset and GABAergic properties make it a promising candidate for the treatment of pain. This systematic review and meta-analysis of preclinical studies aimed at summarizing the evidence regarding the efficacy of muscimol administration in the amelioration of nerve injury-related neuropathic pain. Methods: Two independent researchers performed the screening process in Medline, Embase, Scopus and Web of Science extracting data were extracted into a checklist designed according to the PRISMA guideline. A standardized mean difference (SMD [95% confidence interval]) was calculated for each. To assess the heterogeneity between studies, ² and chi-square tests were utilized. In the case of heterogeneity, meta-regression and subgroup analyses were performed to identify the potential source. Results: Twenty-two articles met the inclusion criteria. Pooled data analysis showed that the administration of muscimol during the peak effect causes a significant reduction in mechanical allodynia (SMD = 1.78 [1.45-2.11]; P < 0.0001; I² = 72.70%), mechanical hyperalgesia (SMD = 1.62 [1.28-1.96]; P < 0.0001; I² = 40.66%), and thermal hyperalgesia (SMD = 2.59 [1.79-3.39]; P < 0.0001; I² = 80.33%). This significant amendment of pain was observed at a declining rate from 15 minutes to at least 180 minutes post-treatment in mechanical allodynia and mechanical hyperalgesia, and up to 30 minutes in thermal hyperalgesia (P < 0 .0001). Conclusions: Muscimol is effective in the amelioration of mechanical allodynia, mechanical hyperalgesia, and thermal hyperalgesia, exerting its analgesic effects 15 minutes after administration for up to at least 3 hours.

• Journal of the Korean Society of Food Culture
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• v.38 no.1
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• pp.1-14
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• 2023

This study was conducted to explore the change in the market issues on HMR (Home Meal Replacements) using local foods after the COVID-19 outbreak. Online text data were collected from internet news, social media posts, and web documents before (from January 2016 to December 2019) and after (from January 2020 to November 2022) the COVID-19 outbreak. TF-IDF analysis showed that 'Trend', 'Market', 'Consumption', and 'Food service industry' were the major keywords before the COVID-19 outbreak, whereas 'Wanju-gun', 'Distribution', 'Development', and 'Meal-kit' were main keywords after the COVID-19 outbreak. The results of topic modeling analysis and categorization showed that after the COVID-19 outbreak, the 'Market' category included 'Non-face-to-face market' instead of 'Event,' and 'Delivery' instead of 'Distribution'. In the 'Product' category, 'Marketing' was included instead of 'Trend'. Additionally, in the 'Support' category, 'Start-up' and 'School food service' appeared as new topics after the COVID-19 outbreak. In conclusion, this study showed that meaningful change had occurred in market issues on HMR using local foods after the COVID-19 outbreak. Therefore, governments should take advantage of such market opportunity by implementing policy and programs to promote the development and marketing of HMR using local foods.

• Journal of Industrial Convergence
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• v.21 no.5
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• pp.133-142
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• 2023

In recent years, the problem of academic credential falsification is not simply the manipulation of certificates generated by educational institutions, but also the difficulty of trusting automated relationship verification and verification itself, such as falsely recording completion as graduation while still in school. This is due to the lack of sharing of educational background databases among university institutions and the establishment/operation of independent systems that make it difficult to track educational backgrounds. This study designs and implements an E-AV model for academic credential verification centered on university institutions. It summarizes and stores the linked information on the existing academic background in an encrypted database and implements it with web standard technology considering the compatibility and scalability of the existing system. The results of sample data verification show that it improves safety against forgery and complies with storage space and execution performance. This study aims to contribute to the improvement of online verification services such as academic records management in domestic universities.