• Journal of KIISE
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• v.42 no.1
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• pp.54-67
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• 2015

Nowadays, studies on the fusion of Semantic Web technologies are being carried out to promote the interoperability and value of sensor data in an IoT environment. To accomplish this, the semantic translation of sensor data is essential for convergence with service domain knowledge. The existing semantic translation technique, however, involves translating from static metadata into semantic data(RDF), and cannot properly process real-time and large-scale features in an IoT environment. Therefore, in this paper, we propose a technique for translating large-scale streaming sensor data generated in an IoT environment into semantic data, using real-time and parallel processing. In this technique, we define rules for semantic translation and store them in the semantic repository. The sensor data is translated in real-time with parallel processing using these pre-defined rules and an ontology-based semantic model. To improve the performance, we use the Apache Storm, a real-time big data analysis framework for parallel processing. The proposed technique was subjected to performance testing with the AWS observation data of the Meteorological Administration, which are large-scale streaming sensor data for demonstration purposes.

• Korean Journal of Microbiology
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• v.41 no.4
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• pp.239-245
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• 2005

Transformation-Associated Recombination (TAR) cloning technique allows selective isolation of chromosomal regions and genes from complex genomes. The procedure requires knowledge of relatively small genomic sequences that reside adjacent to the chromosomal region of interest. This technique involves homologous recombination during yeast spheroplast transformation between genomic DNA and a TAR vector that has 5' and 3' gene targeting sequences. In this study, we examined the effect of non-homologous spacing sequence in target hooks on homologous recombination using a plasmid model system. The efficiency of homologous recombination between the modified his3-TRP1-his3 fragments and HlS3 gene on plasmid were analyzed by the characterization of $Ura^+$ transformants. The numbers of $Ura^+$ transformant showed same level when seven different modified his3-TRP1-his3 fragments were used. But the percentage of positive recombinants. $Trp^+His^-$, dramatically decreased when used the modified his3-TRP1-his3 fragments contained incorrect spacing of nonhomologous region. As a result, we suggest that incorrect spacing inhibits the homologous recombination between target hook and substrate DNA. Therefore, we should consider the correct spacing in target hook when the target hook are used for cloning of orthologue gene.

• Molecules and Cells
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• v.38 no.8
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• pp.685-696
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• 2015

Rice is a model plant widely used for basic and applied research programs. Plant cell wall proteins play key roles in a broad range of biological processes. However, presently, knowledge on the rice cell wall proteome is rudimentary in nature. In the present study, the tightly-bound cell wall proteome of rice callus cultured cells using sequential extraction protocols was developed using mass spectrometry and bioinformatics methods, leading to the identification of 1568 candidate proteins. Based on bioinformatics analyses, 389 classical rice cell wall proteins, possessing a signal peptide, and 334 putative non-classical cell wall proteins, lacking a signal peptide, were identified. By combining previously established rice cell wall protein databases with current data for the classical rice cell wall proteins, a comprehensive rice cell wall proteome, comprised of 496 proteins, was constructed. A comparative analysis of the rice and Arabidopsis cell wall proteomes revealed a high level of homology, suggesting a predominant conservation between monocot and eudicot cell wall proteins. This study importantly increased information on cell wall proteins, which serves for future functional analyses of these identified rice cell wall proteins.

• Journal of the Korean Association of Geographic Information Studies
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• v.22 no.2
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• pp.133-151
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• 2019

This study aims to analyze cold air characteristics in the watershed areas and to suggest strategies for utilizing them in urban ventilation corridor plans. For this purpose, the Jungnangcheon watershed and Uijeongbu-si in the northern part of Gyeonggi province, and Anyangcheon watershed as well as Yangjaecheon Tancheon watershed and Gwacheon-si in the southern part were selected as study areas. We used KALM (Kaltluftabflussmodell), a cold air simulation model developed in Germany and identified both the cold air flow and the height of cold air layer generated during 6 hours at night. Uijeongbu City is located on the main stream of the Jungnangcheon watershed, and the local cold air from the southern outskirts is an important part of Uijeongbu-si's overall ventilation corridor planning. In addition, the cold air generated in the vicinity of Mt. Sapae flows into the central business district near the city hall and plays a major role in regulating the thermal environment of the city. But, the cold air flows in the eastern part of Uijeongbu-si was not smoothly. The cold air flow generated in the east of Gwanak Mountain and in the west of Cheonggye Mountain was the most active in the northern part of Gwacheon-si. This flow is also a major ventilation corridor in Anyangcheon watershed as well as Yangjaecheon Tancheon watershed. But, the southern part where the cold air flow is not smooth is planed to be developed as 'Gwacheon Knowledge Information Town Public Housing District', so rapid development is expected in the future. Hence, it is suggested that an additional ventilation corridor plan should be established based on the detailed local wind flow analysis.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.619-628
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• 2019

This study is an explanatory research conducted to analyze the influencing factors of treatment adherence in kidney transplant recipients. The subjects were 132 renal transplant recipients who visited the outpatient department in a university hospital. Data were collected from July 17, 2017, to August 22, 2017, and analyzed using SPSS WIN 24.0. Frequency, percentage, mean and standard deviation, variance analysis, correlation, and regression analysis were performed. The results of the study showed that there was a significant difference in the treatment adherence based on the age, religion, and the time passed since kidney transplantation. The study also found that the treatment adherence had significant positive correlations with social support (r=.54, p<.001), family support (r=.43, p<.001), health provider's support (r=.57, p<.001), and self-care knowledge (r=.21, p=.015). The factors influencing the treatment adherence were health provider's support, the time passed since kidney transplantation, spouse, and religion. The final explanatory power of the model was 41.9%. In conclusion, intervention strategies should be introduced to promote the support of healthcare providers in order to improve the adherence of the kidney transplantation patients.

• Journal of the Korean Society of Earth Science Education
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• v.12 no.1
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• pp.27-39
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• 2019

The purpose of this study is to develop a STEAM program for teaching climate change through CLAMP (Climate-Leaf Analysis Multivariate Program) paleoclimate inquiry in connection with high school 'Integrated Science' subject. In order to do so, we analyzed the 2015 revised national curriculum and science textbook in terms of the PDIE instructional design model, and developed the teaching-learning materials for 10 class hours through expert panel discussion and pilot test. According to the STEAM class procedure, in the situation presentation stage, the fossil leaves were collected from the dicotyledon plants near school, and the LMA (Leaf Margin Analysis) climate inquiry activity. was presented as the learning goal. During the creative design stage, students were taught about geology and leaf fossils in the study region, and CLAMP input data (31 characteristics of morphotype and leaf architectural of fossil leaves) were given. In the emotional experience and new challenge stage, we collected leaf fossils for outdoor learning, explored paleoclimate with CLAMP method, and promoted climatic literacy in the process of discussing tendencies and causes of Cenozoic's climate change. The validity of the development program was assessed (CVI .84) as being suitable for development purpose in all items through the process of establishing reliability among expert panel. In order to apply the program to the high school, a pilot test was conducted to supplement the discrepancies and to review the suitability. The satisfaction rate of the participants was 4.48, and the program was complemented with their opinions. This study will enable high school students to have practical knowledge and reacting volition for climate change, and contribute to fostering students' climate literacy.

• Journal of agricultural medicine and community health
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• v.44 no.2
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• pp.73-81
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• 2019

This study aimed to assess the level of awareness on safe abortion among adolescent girls in rural area of Mahottari district of Nepal. A community based cross-sectional study was conducted in rural areas of Mahottari district of Southern Nepal between January and March 2019.A sample of 412 adolescent girls was selected using multi-stage cluster sampling. Multivariable logistic regression model was adapted to explore level of awareness among adolescent girls. This study found that 45.6% of adolescent girls had high awareness regarding safe abortion. The odds of awareness among the married adolescents was higher (AOR=2.16; 95% CI: 1.01-4.87) than unmarried adolescent whereas the odds of awareness among the adolescents who had education of secondary level and more had higher (AOR=2.21; 95%CI: 1.13-3.04) than those who had primary or lower secondary level of education. Similarly, the adolescents who had monthly family income of Nepalese Rupees (NRs.), 10,000-20,000 and more than NRs. 20,000 were respectively, 2.33 times (AOR = 2.33; 95% CI: 1.07-3.55) and 3.17 times (AOR = 3.17; 95% CI: 2.19-8.94) more likelihood to have high awareness regarding safe abortion than those their counterparts. The study showed that overall level of knowledge towards safe abortion was found low. Socio-demographic factors like marital status, level of education, and family income were the factors independently associated with level of awareness on safe abortion. Therefore, efforts should be exerted towards arising and improving the awareness of abortion care which may reduce unwanted pregnancy, abortion and other complications related to abortion.

• Journal of the Korea Institute of Building Construction
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• v.23 no.4
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• pp.417-428
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• 2023

The demolition of domestic infrastructures mirrors other significant construction initiatives in presenting a markedly high accident rate. A comprehensive investigation into the origins of such accidents is crucial for the prevention of future incidents. Upon detailed inspection, the causes of demolition construction accidents are multifarious, encompassing unsafe worker behavior, hazardous conditions, psychological and physical states, and site management deficiencies. While statistics relating to demolition construction accidents are consistently collated and reported, there exists an exigent need for a more foundational cause categorization system based on accident type. Drawing from Heinrich's Domino Theory, this study classifies the origins of accidents(unsafe behavior, unsafe conditions) and human errors(human factors) as per the type of accidents experienced during demolition construction. In this study, a three-step model of QFD-FMEA(Quality Function Deployment - Failure Mode Effect Analysis) is employed to systematically categorize accident causes according to the types of accidents that occur during demolition construction. The QFD-FMEA method offers a technique for cause classification at each stage of the demolition process, including direct causes(unsafe behavior, unsafe environment), and human errors(human factors) through a tri-stage process. The results of this accident cause classification can serve as safety knowledge and reference checklists for accident prevention efforts.

• Convergence Security Journal
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• v.22 no.4
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• pp.3-9
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• 2022

Recently, as the environment of the 4th industrial revolution has arrived, the opening, sharing and convergence of data are actively being achieved in any organization. However, the opening and sharing of data inevitably leads to security vulnerability and there is ambivalence that is a threat that can affect the existence of an organization operated in the 4th industrial revolution environment. Especially security issues in the organization of the military can be a threat to the state, not the military itself, so it is always necessary to maintain a high level of security discipline. In this paper, 14 variables were selected through structural equation model applying theory of planned behavior, deterrence and protection motivation to find out the security level development measures by extracting factors that can affect security level. As a result, the theory of planned behavior that the security knowledge embodied through the usual security regulation education and evaluation affects the behavior was adopted, and the theory of deterrence and protection motivation showed the significance of the rejection level. In addition, it was confirmed that the variables that have the greatest impact on the military security level through the measured values of the three-year security audit were commanders and mental security. In conclusion, in order to improve the security level, it is suggested that security education, definite reward and punishment, and security system upgrading should be firmly established and mental security posture should be secured.

• Journal of the Korean earth science society
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• v.44 no.1
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• pp.47-61
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• 2023

Rather than an abstract discourse, the purpose of this study is to outline the core concepts in the 2015 revised curriculum as a concrete teaching and learning method in the school context. We interviewed eight secondary science teachers and reported their perceptions and perspectives on core concepts using a backward design model based on the cyclical process of the platform, deliberation, and design for developing teaching and learning materials to understand core concepts. The participants perceived these core concepts differently, such as big ideas corresponding to the ultimate principle, minimum science concepts required for daily life, and primary and significant key concepts. In addition, this affects the association of teaching and learning. When core concepts are understood as transferable and expandable big ideas, there is a tendency to focus on the relationship between concepts and design project learning in a specific direction. However, if core concepts are identified as minimum science concepts at the level of science literacy, that can be recalled within the context of life, there is a tendency to emphasize on activities that make a meaningful difference to the lives of students with focus on case studies that are relevant to everyday life. Once core concepts are identified as key scientific content elements, such as basic or significant concepts, teachers recognize that it is essential to emphasize concept changes by correcting misconceptions, acquiring accurate scientific knowledge, and developing problem-solving items through paper-and-pencil evaluation. As the 2015 revised curriculum is finalized and the 2022 revised curriculum is scheduled for release, effective policy support is required to ensure that the curriculum is revised, which emphasizes the purpose of big ideas by naming core concepts as core ideas, to be stably implemented in schools.