• Korean Journal of Plant Taxonomy
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• 제52권3호
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• pp.184-195
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• 2022

The invasive alien species Brassica tournefortii Gouan (Brassicaceae) is herein reported for the first time in Korea, from Gunsan-si, Gochang-gun, and Jeju-si. Brassica tournefortii can easily be distinguished from B. juncea and B. napus by its dense stiff hairs at the base of the stem and leaves, basally and distally branched stems, partially dehiscent fruits, and seeds that become mucilaginous in the presence of moisture. Although some taxonomists have classified this species as belonging to Coincya Rouy based on its fruit and seed characteristics, the existence of one vein on the fruit valves and our maximum likelihood analysis using internal transcribed spacer sequences placed it in Brassica. Distribution data, photographs, and a description of B. tournefortii are presented herein. Moreover, potential changes in the distribution of B. tournefortii were predicted under different climate scenarios, but our analysis showed that the probability of the spreading of this species is low. Nevertheless, continuous monitoring is necessary for an accurate assessment. The results of the present study can be used to conduct an invasion risk assessment and can assist with the effective management of this invasive alien species.

• Journal of Internet Computing and Services
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• 제24권5호
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• pp.29-35
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• 2023

CCTV is used for various purposes such as crime prevention, public safety reinforcement, and traffic management. However, as the range and resolution of the camera improve, there is a risk of exposing personal information in the video. Therefore, there is a need for new technologies that can identify individuals while protecting personal information in images. In this paper, we propose histogram-based singular value decomposition for object identification and tracking. The proposed method distinguishes different objects present in the image using color information of the object. For object recognition, YOLO and DeepSORT are used to detect and extract people present in the image. Color values are extracted with a black-and-white histogram using location information of the detected person. Singular value decomposition is used to extract and use only meaningful information among the extracted color values. When using singular value decomposition, the accuracy of object color extraction is increased by using the average of the upper singular value in the result. Color information extracted using singular value decomposition is compared with colors present in other images, and the same person present in different images is detected. Euclidean distance is used for color information comparison, and Top-N is used for accuracy evaluation. As a result of the evaluation, when detecting the same person using a black-and-white histogram and singular value decomposition, it recorded a maximum of 100% to a minimum of 74%.

• Korean Journal of Food Science and Technology
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• 제37권3호
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• pp.484-491
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• 2005

Quantitative microbial risk assessment (QMRA) analyzes potential hazard of microorganisms on public health and offers structured approach to assess risks associated with microorganisms in foods. This paper addresses specific risk management questions associated with Staphylococcus aureus in kimbab and improvement and dissemination of QMRA methodology, QMRA model was developed by constructing four nodes from retail to table pathway. Predictive microbial growth model and survey data were combined with probabilistic modeling to simulate levels of S. aureus in kimbab at time of consumption, Due to lack of dose-response models, final level of S. aureus in kimbeb was used as proxy for potential hazard level, based on which possibility of contamination over this level and consumption level of S. aureus through kimbab were estimated as 30.7% and 3.67 log cfu/g, respectively. Regression sensitivity results showed time-temperature during storage at selling was the most significant factor. These results suggested temperature control under $10^{\circ}C$ was critical control point for kimbab production to prevent growth of S. aureus and showed QMRA was useful for evaluation of factors influencing potential risk and could be applied directly to risk management.

• Journal of the Korea Computer Graphics Society
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• 제22권4호
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• pp.21-30
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• 2016

Risk management system should be able to support a decision making within a short time to analyze stream data in real time. Many analytical systems consist of CPU computation and disk based database. However, it is more problematic when existing system analyzes stream data in real time. Stream data has various production periods from 1ms to 1 hour, 1day. One sensor generates small data but tens of thousands sensors generate huge amount of data. If hundreds of thousands sensors generate 1GB data per second, CPU based system cannot analyze the data in real time. For this reason, it requires fast processing speed and scalability for analyze stream data. In this paper, we present a fast visualization technique that consists of hybrid database and GPU computation. In order to evaluate our technique, we demonstrate a visual analytics system that analyzes pipeline leak using sensor and tweet data.

• Journal of the Korea Institute of Information Security & Cryptology
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• 제26권2호
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• pp.551-558
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• 2016

The recent convergence in ICT industry has created new businesses as well as other opportunities. However, it entails new convergence threat accompanied by security risks. Even though there are security professionals who are dealing with the situation, there is not enough human resource in risk management. Moreover, the amount of research that studies quality of education and training security personnel is not sufficient. This paper explores the curriculum of information security education in the private sector and reasons out fifteen standard curriculums in four professional fields categorized by job classification. In addition, it provides a weighted score table based on the evaluation indicator for the effective security education certificates in the private sector.

• Journal of the Korea Safety Management & Science
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• 제16권2호
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• pp.31-42
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• 2014

As weapon systems become complex in terms of the scale and functionality, the required time to complete the test and evaluation (T&E) process is inevitably getting longer. However, nowadays the reduction of T&E period becomes one of the core targets in the weapon systems acquisition programs. This is because the reduced time for T&E process can yield the reduction of defense budget and also faster deployment of the weapon systems, thereby having a competitive edge over rival countries. On the other hand, in weapon systems development the management of reliability, availability, maintainability and safety (RAMS), and risk is considered important to keep competitiveness and thus has been carried out separately. Thus, the objective of this paper is to study on improving the T&E process by integrating the RAMS and risk management process in it. To do so, the related processes are analyzed and modeled first. Then an integrated process model is developed. The resulting model is equipped with the traceability among the data and interfaces that are generated from the T&E and RAMS/risk processes. As a case study, the model developed is applied in tanks development. The effective use of the traceability is expected to reduce the time and cost required to complete T&E process.

• Journal of the Korea Institute of Information and Communication Engineering
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• 제24권3호
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• pp.391-397
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• 2020

Realistic content such as virtual reality, augmented reality, and mixed reality is emerging as an innovative technology in the education field in that it allows people to safely and efficiently experience dangerous, expensive or impossible situations, such as disaster training or space travel. Recently, as government agencies have supported a lot for producing virtual augmented reality contents about education, various educational contents using virtual augmented reality technology have been developed through the Edutech industry. Many virtual augmented reality-based educational contents are being developed, but mixed reality-based educational contents are very limited which could be more effective for education. This study examines the basic method of producing mixed reality educational contents using Hololens and, on the basis of this, it proposes the method for producing scientific experiment contents. Hololens made it possible to share information in real time without a regular desktop PC, and it is effective for teachers to manage and evaluate students in real time.

• Journal of Korean Society of Archives and Records Management
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• 제19권3호
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• pp.29-48
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• 2019

This study reviews the basics of earthquake preparedness from several archives and international cases of earthquake damage and restoration to establish an earthquake preparedness plan in Korean archives. The results of the study are as follows: first, to establish the direction of an earthquake preparedness plan, the study summarizes the basic characteristics of an earthquake and its damages, as well as applies the key elements of disaster preparedness planning after reviewing its basic principles. Second, the study analyzes four international cases that may have significant implications for the earthquake preparedness plan in Korea. Given this, four international cases present lessons and limitations such as the book dropping of a library in Japan, the collapse of archives in Germany, damaged archives because of a massive earthquake in New Zealand, and earthquake preparedness and recovery plans in cultural heritage sectors. Third, to apply the information from overseas cases to domestic, the study examines the lessons, the key elements of earthquake preparedness planning, and the public record standard for Korean archives through the mutual linking process, as well as issues that should be considered. The issues reviewed in this study could help Korean archives establish a realizable earthquake preparedness plan in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제20권4호
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• pp.303-310
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• 2019

The purpose of this study was to compare the oralmyofunctions (occlusal force, tongue pressure, lip force) of adults and elderly people. And analyzed the factors affecting oral health related quality of life and dysphagia. The study was conducted on 73(over 20 years of age) Residing in Daejeon and Nonsan From December 2017 to May 2018. The data was analyzed using one-way ANOVA, pearson's correlation and multiple regression. The masticatory strength of each age group evaluated the right and left posterior occlusal forces. the elderys group (8.93, 10.80) were lower than adults group(12.51, 14.61) and middle age group(11.63, 14.75)(p>0.05). The tongue pressure was statistically significant lower in eldery group(37.43) than the adult group(60.55), middle-aged group(50.61) (p=0.000). In addition lip force was significantly lower in eldery group(8.57) than adult(12.01), middle-aged(11.37)(p= 0.000). The tongue pressure was positively correlated with the number of natural teeth(r=.566, p<.05), and the lip force (r=.497, p<.05). The quality of life quality related to oral health and dysphagia was tongue strength(p<0.05). It is necessary to recognize the risk of declining oral muscle function caused by aging. especially tongue strength is associated with quality of life and dysphagia. In order to improve the quality of life related to oral health in the aged society, the necessity of regular oral administration and oral muscle training was proposed.

• Journal of Korean Society for Geospatial Information Science
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• 제22권4호
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• pp.47-52
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• 2014

Species distribution models have been widely applied in order to assess biodiversity, design reserve, manage habitat and predict climate change. However, SDMs has been used restrictively to the public and policy sectors owing to model uncertainty. Recent studies on ensemble and consensus models have been increased to reduce model uncertainty. This paper was carried out single model and multi model for Corylopsis coreana and compares two models. First, model evaluation was used AUC, kappa and TSS. TSS was the most effective method because it was easy to compare several models and convert binary maps. Second, both single and ensemble model show good performance and RF, Maxent and GBM was evaluated higher, GAM and SRE was evaluated lower relatively. Third, ensemble model tended to overestimate over single model. This problem can be solved by the suitable model selection and weighting through collaboration between field experts and modeler. Finally, we should identify causes and magnitude of model uncertainty and improve data quality and model methods in order to apply special decision-making support system and conservation planning, and when we make policy decisions using SDMs, we should recognize uncertainty and risk.