• Korean Journal of Medicinal Crop Science
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• v.22 no.6
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• pp.429-434
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• 2014

This study describes the efficient method for the discrimination of 'Cheonryang' in Panax ginseng Meyer using a STS primer. A total of 208 STS primers were applied to polymerase chain reaction (PCR) amplification for discriminating Korean ginseng cultivars. Co-dominant polymorphic band patterns were generated with two primers, MFGp 0019, MFGp 0248, and successful identification of 'Cheonryang' was achieved from out of 11 Korean ginseng cultivars. Two different sizes of DNA band patterns were detected with MFGp 0019 primer. Ten Korean ginseng cultivars shared the same size of amplified DNAs (389 bp), but 'Cheonryang' showed a different size. Thus 'Cheonryang' can be efficiently distinguished from the other ten ginseng cultivars by using the MFGp 0019 primer. In the case of MFGp 0248, two different sizes of DNA band patterns were detected in the eleven ginseng cultivars. Same sized amplified DNA bands (307 bp) were shown in five cultivars (Chunpoong, Gopoong, Kumpoong, Cheongsun, Sunhyang) and 254 bp sized DNA bands were identified in the other 6 cultivars (Yunpoong, Sunpoong, Sunun, Sunone, Cheonryang, K-1). In conclusion, the two STS primers, MFGp 0019, and MFGp 0248, provide a rapid and reliable method for the specific identification of 'Cheonryang' cultivar from a large number of samples.

• The Korean Journal of Mycology
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• v.46 no.1
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• pp.58-68
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• 2018

Sunn hemp (Crotalaria juncea) is used as a nitrogen-fixing green manure in Korea to improve soil quality, reduce soil erosion, and suppress weeds and nematodes. In 2014, wilting sunn hemp plants were observed in green manure-cultivated fields in Wanju, Korea. Leaves of the infected plants began yellowing, starting with the lower leaves, eventually leading to their death. Moreover, a number of dark perithecia were observed on the wilting stems. Six isolates were obtained from these perithecia by single spore isolation. Based on their morphological characteristics, the isolates were identified as Fusarium udum (teleomorph: Gibberella indica). Macroconidia were slightly curved with almost hooked apical cell, and microconidia were formed on false heads by monophialides. Chlamydospores were produced abundantly in the hyphae, either singly or in clusters. To confirm the identification, multilocus sequence analysis was conducted using translation elongation factor 1 alpha (TEF), calmodulin (CAL), and histone 3 (HIS3). The sequences of TEF, CAL, and HIS3 showed 94.4~96.2%, 99.7%, and 99.6~99.8% similarity to the reference sequences of F. udum in NCBI GenBank, respectively. Pathogenicity was tested on sunn hemp and two soybean cultivars using the inoculation method of soil drenching with spore suspension. The wilting symptoms were observed only in sunn hemp and one cultivar of soybean (cv. Teagwang) after 14~21 days of inoculation. This is the first report of wilt disease in sunn hemp caused by Fusarium udum in Korea.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.2
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• pp.261-273
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• 2019

Recently, with the development of IT technology, there is an increasing interest in cloud services as the number of users using mobile devices such as mobile phones and tablets is increasing. However, there is a need for techniques to control or control various methods of accessing data as the user's service demands increase. In this paper, we propose a dual key based user authentication model that improves the user 's authentication efficiency by using two keys (secret key and access control key) to access the users accessing various services provided in the cloud environment. In the proposed model, the operation process and the function are divided through the sequence diagram of the algorithms (key generation, user authentication, permission class permission, etc.) for controlling the access right of the user with dual keys. In the proposed model, two keys are used for user authentication and service authorization class to solve various security problems in the cloud service. In particular, the proposed model is one of the most important features in that the algorithm responsible for access control of the user determines the service class of the user according to the authority, thereby shortening the management process so that the cloud administrator can manage the service access permission information of the user.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.6
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• pp.351-361
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• 2021

The seriousness of fire is rising because fire causes enormous damage to property and human life. Therefore, this study aims to predict various risk factors affecting fire by fire type. The predictive analysis of fire factors was carried out targeting Gyeonggi-do, which has the highest number of fires in the country. For the analysis, using machine learning methods SVM (Support Vector Machine), RF (Random Forest), GBRT (Gradient Boosted Regression Tree) the accuracy of each model was presented with a high fit model through MAE (Mean Absolute Error) and RMSE (Root Mean Squared Error), and based on this, predictive analysis of fire factors in Gyeonggi-do was conducted. In addition, using machine learning methods such as SVM (Support Vector Machine), RF (Random Forest), and GBRT (Gradient Boosted Regression Tree), the accuracy of each model was presented with a high-fit model through MAE and RMSE. Predictive analysis of occurrence factors was achieved. Based on this, as a result of comparative analysis of three machine learning methods, the RF method showed a MAE = 1.765 and RMSE = 1.876, as well as the MAE and RMSE verification and test data were very similar with a difference between MAE = 0.046 and RMSE = 0.04 showing the best predictive results. The results of this study are expected to be used as useful data for fire safety management allowing decision makers to identify the sequence of dangers related to the factors affecting the occurrence of fire.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.107-119
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• 2023

The technology that recognizes a soldier's motion and movement status has recently attracted large attention as a combination of wearable technology and artificial intelligence, which is expected to upend the paradigm of troop management. The accuracy of state determination should be maintained at a high-end level to make sure of the expected vital functions both in a training situation; an evaluation and solution provision for each individual's motion, and in a combat situation; overall enhancement in managing troops. However, when input data is given as a timer series or sequence, existing feedforward networks would show overt limitations in maximizing classification performance. Since human behavior data (3-axis accelerations and 3-axis angular velocities) handled for military motion recognition requires the process of analyzing its time-dependent characteristics, this study proposes a high-performance data-driven classifier which utilizes the long-short term memory to identify the order dependence of acquired data, learning to classify eight representative military operations (Sitting, Standing, Walking, Running, Ascending, Descending, Low Crawl, and High Crawl). Since the accuracy is highly dependent on a network's learning conditions and variables, manual adjustment may neither be cost-effective nor guarantee optimal results during learning. Therefore, in this study, we optimized hyperparameters using Bayesian optimization for maximized generalization performance. As a result, the final architecture could reduce the error rate by 62.56% compared to the existing network with a similar number of learnable parameters, with the final accuracy of 98.39% for various military operations.

• Journal of Intelligence and Information Systems
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• v.26 no.2
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• pp.43-56
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• 2020

Recommender systems help users make the best choice among various options. Especially, recommender systems play important roles in internet sites as digital information is generated innumerable every second. Many studies on recommender systems have focused on an accurate recommendation. However, there are some problems to overcome in order for the recommendation system to be commercially successful. First, there is a lack of transparency in the recommender system. That is, users cannot know why products are recommended. Second, the recommender system cannot immediately reflect changes in user preferences. That is, although the preference of the user's product changes over time, the recommender system must rebuild the model to reflect the user's preference. Therefore, in this study, we proposed a recommendation methodology using topic modeling and sequential association rule mining to solve these problems from review data. Product reviews provide useful information for recommendations because product reviews include not only rating of the product but also various contents such as user experiences and emotional state. So, reviews imply user preference for the product. So, topic modeling is useful for explaining why items are recommended to users. In addition, sequential association rule mining is useful for identifying changes in user preferences. The proposed methodology is largely divided into two phases. The first phase is to create user profile based on topic modeling. After extracting topics from user reviews on products, user profile on topics is created. The second phase is to recommend products using sequential rules that appear in buying behaviors of users as time passes. The buying behaviors are derived from a change in the topic of each user. A collaborative filtering-based recommendation system was developed as a benchmark system, and we compared the performance of the proposed methodology with that of the collaborative filtering-based recommendation system using Amazon's review dataset. As evaluation metrics, accuracy, recall, precision, and F1 were used. For topic modeling, collapsed Gibbs sampling was conducted. And we extracted 15 topics. Looking at the main topics, topic 1, top 3, topic 4, topic 7, topic 9, topic 13, topic 14 are related to "comedy shows", "high-teen drama series", "crime investigation drama", "horror theme", "British drama", "medical drama", "science fiction drama", respectively. As a result of comparative analysis, the proposed methodology outperformed the collaborative filtering-based recommendation system. From the results, we found that the time just prior to the recommendation was very important for inferring changes in user preference. Therefore, the proposed methodology not only can secure the transparency of the recommender system but also can reflect the user's preferences that change over time. However, the proposed methodology has some limitations. The proposed methodology cannot recommend product elaborately if the number of products included in the topic is large. In addition, the number of sequential patterns is small because the number of topics is too small. Therefore, future research needs to consider these limitations.

• Microbiology and Biotechnology Letters
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• v.39 no.4
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• pp.317-323
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• 2011

Strain A-3, an amylase-producing bacteria, was isolated from coastal seawater near Daecheon in the Republic of Korea. It was seen to possess a single polar flagella and grow well, on ASW-YP agar plates, at temperatures of between $20-37^{\circ}C$. However, it grew more slowly at the temperatures of $15^{\circ}C$ and $40^{\circ}C$. Similarly, it was observed to grow abundantly, in an Artificial Sea Water-Yeast extract-Peptone (ASW-YP) liquid medium, in a pH range of 6-9, but not grow at pHs of 4-5 and a pH of 10. Strain A-3 was noted as being close to Pseudoalteromonas phenolica O-$BC30^T$, Pseudoalteromonas luteoviolacea $NCIMB1893^T$, Pseudoalteromonas rubra $ATCC29570^T$, and Pseudoalteromonas byunsanensis $FR1199^T$, with 98.30%, 97.86%, 97.78%, and 97.25% similarities respectively, in its 16S rRNA sequence. A phylogenetic tree revealed that strain A-3 and P. phenolica O-$BC30^T$ belong to a clade. However, strain A-3 differed from P. phenolica O-$BC30^T$ in relation to a number of physiological characteristics. Strain A-3 exhibited no growth above 5% NaCl concentrations, no utilization of D-glucose, D-mannose, D-maltose, or D-melibose, and no lipase (C-14) activity. All of these properties strongly indicate that strain A-3 is distant from P. phenolica O-$BC30^T$ and thus led us to name it Pseudoalteromonas sp. A-3. Pseudoalteromonas sp. A-3 produces ${\alpha}$-amylase throughout growth. Maximal amylase activities of 144.48 U/mL and 149.20 U/mL were seen at pH 7.0 and $37^{\circ}C$, respectively. Pseudoalteromonas sp. A-3's high, stable production of ${\alpha}$-amylase in addition to its biochemical features, such as alkalitolerance, suggest that it is a good candidate for industrial applications.

• Journal of Korean Academy of Nursing
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• v.7 no.2
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• pp.60-82
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• 1977

The purpose of this study is first, to analyse the present nursing education and the curriculum in Korea in view of the changes and the new tendency of nursing education and second, to compare our curriculum with that of America, where nursing activities are actively earring on and, third, to try to find out what we should reconsider and improve in our nursing education. The object of this study is the educational program and the curriculum from 1973 to 1976 by selecting each five from colleges and department of nursing in Korea and America. The results of the study were as fellows : . 1. The aim of nursing education puts impassion the role of leader, knowledge and technology of nursing, welfare of society and service of community in both the America and Korea. In Korea nursing is mainly restricted to the treatment of diseases, while in the America the items of the aim of nursing are mainly extended to the capacity for Self- realization of nurse, in Korea they are restricted to the treatment of diseases. 2. In Korea the rate of credit of the curriculum of nursing education is the highest in professional education, next in general education, next in supporting science and educational subject, while in America the rate of the credit is the highest in general education, next professional education and then supporting Science and educational subject isn′t included in the curriculum. 3. In both Korea and America the role of the animal credit allotment in general education, is the highest in the first year and the rate in supporting science is the highest in the second year. In Korea professional subjects are concentrated in the third year while in America there is a tendency that they are increasing in number in the grade order. 4. There is a tendency that the rate of the credit allotment of the main professional subjects in curriculum is higher in Korea than in America : that is, in Korea the rate of the allotment of the credit is the highest in medical - surgical nursing, next maternal - child nursing, next community - health nursing and the psychiatric nursing and there in a great difference in the rate of the allotment of each credit. While in America the rate of the allotment of the credit is the highest in community - health nursing, next in medical- surgical nursing, next in maternal - child nursing, and then in psychiatric nursing and there is little difference in the rate of tile allotment of each credit. 5. From general education, supporting science and professional education, they have considered the continuity and sequence in the structure of nursing curriculum of Korea and America. While in Korea we have partly made integration in tile content of the subjects. Most of the school in America, they have made integration in the content of subjects especially in all subjects, but in Korea we haven't made it in all subjects. 6. In the system and form of nursing education Problem solving method, Dialectical method and operational method are introduced in some America schools and in others there is a tendency that the whole nursing education has the system based on Preventive frame - work or Health -illness frame work ; while only one college has an attempt for Health - Illness continue in Korea. 7. In Korea nursing education, as the importance of health- nursing and team nursing, the aim which is also comparatively emphasized is about health management and service of collective community. The subject pertaining to the aim is the studies of community health nursing, which are more in number in America. 8. When we consider the association between the social, general aims ?f the nursing education and the formation of the curriculum in Korean nursing school the courses of study concerning "the role of leadership and cooperative personal relation": "nursing care for the group": dynamic nursing care": and "the system of the public health nursing associated with the understanding of the regional community" are insufficient as compared with those of America. Especially, the lack of the behavioral science including the nursing care connected with the care for the group, the basic science on the clinical and developmental psychology, anthropology in known to be a prominent issue.

• Journal of the korean academy of Pediatric Dentistry
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• v.29 no.3
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• pp.439-443
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• 2002

The purpose of this study was to analyze the parental consultation. Also, it was to investigate the tendency divided into different subjects. The subjects were 2142 questions on korean academy of pediatric dentistry homepage. The questions were categorized into 7 subjects, 37 subdivided subjects and children age. The results were as follows: 1. Age group was divided into $0{\sim}6months$, $7{\sim}12months$, $13{\sim}24months$, $25{\sim}36months$, $3{\sim}6years$, $7{\sim}12years$ 12years and over 13 years. $13{\sim}24months$ and $3{\sim}6years$ age group had the largest number of questions. 2. The subject were growth & development, development disturbance & oral disease, behavior management, operative & endodontic treatment, dentition & occlusal guidance, traumatic injury & surgery and etc. Development disturbance & oral disease had the largest number of questions. 3. In subdivided subjects, operative & endodontic treatment showed the most, followed by development & eruption of teeth, traumatic injury, cross-bite, tooth brushing methods in sequence. 4. In age group within subdivided subjects, the most frequent question was neonatal & natal tooth in $0{\sim}6months$, development & eruption of teeth in $7{\sim}12months$, $13{\sim}24months$, operative & endodontic treatment in $25{\sim}36months$, $3{\sim}6years$, time & method of orthodontics in $7{\sim}12years$ and operative & endodontic treatment in over 13years. 5. The questions about cross-bite, traumatic injury and soft tissue disease were distributed evenly in age group.

• Journal of the Korean Society for Marine Environment & Energy
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• v.17 no.4
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• pp.283-296
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• 2014

The distribution of heavy metals in the stormwater runoffs from industrial sites around Shihwa Lake that implements the total pollutant load management system (TPLMS) was studied to characterize the temporal changes of metal concentrations and to assess the ecological risk in dissolved and particulate phases of the selected metals. The dissolved Co and Ni concentration demonstrated first flush and tended to decrease with increasing of the duration of rainfall. The intensity of precipitation was found to be the main controlling factor of particulate metals in the stromwater runoffs. The particulate concentration of Pb accounted for 97.2% so the particulate phase was its main form. Other metals followed the sequence: Pb>Cu>Cd>Co>Zn>Ni. The particulate-dissolved partitioning coefficient ($K_d$) indicated that the $K_d$ of Pb were bigger than that of other metals because the metal Pb in the stormwater runoffs is quickly removed into the particulate phase. In a single day rainfall event, total runoff fluxes for total metals as the sum of dissolved and particulate forms through only two sewer outlets were 2.21 kg for Co, 30.5 kg for Ni, 278.3 kg for Cu, 398.3 kg for Zn, 0.39 kg for Cd and 40.0 kg for Pb, respectively. Given the annual rainfall, the number of rain days and the basin area for total pollutant load management system (TPLMS) of Shihwa area, enormous amount of non-point metal pollutants were entered into Lake with any treatment. The dissolved metals (e.g., Ni, Cu and Zn) in the stormwater runoffs exceeded the acute water quality criteria. Additionally, all metals were significantly enriched in the particulate phase and exceeded the PEL criteria of sediment quality guidelines (SQGs). These results indicated that the heavy metals in the stormwater runoffs may pose a very high ecological risk to the coastal environments and ecosystem.