• Rubber Technology
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• v.22 no.2
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• pp.119-149
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• 2021

Domestic materials & components industry is making a shift from quantitative growth to qualitative growth, while the paradigm of a future society is changing rapidly to energy, mobility, smartification and etc. The main features of materials & components industry are analyzed broadly based on three aspects that are: ① industry Status, ② the value chain structure, ③ the competitiveness. With regard to the national aspect, it is shown that the number of an export and a trade surplus increased consistently after the government advanced the policy on materials & components and Korea's trade deficit with Japan has been decreased. Moreover, the state's export ranking increased from tenth place in 2001 into sixth place in 2017, dedicating to the growth of a national economy. The analysis of the chain value indicates that specifications of an end product are set when the materials & components are combined with manpower, infrastructure and technologies. In terms of the competitiveness, it requires a long time and high costs to develop technologies on materials and it is important for components to have a process innovation and credibility wired. Following the industry structure with priority given on materials, Jeonnam Province accounts for 14.8% of national material production. As a result of analyzing Jeonnam's export competitiveness, it is measured that a serious polarization exists, revealing there are 6 major technology industries by 11 categories for materials & components, Jeonnam has presented 6 major materials & components considering the key industry and the new industry in future to remedy the mentioned problem so far, and plans to knock on the industry development through 10 different strategies.

• Journal of Advanced Navigation Technology
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• v.16 no.6
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• pp.1014-1023
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• 2012

Recently with improvement of SMART Grid, AMI network security has been affecting the environment for Electric information and communication. The system and communication protection consists of steps taken to protect the AMI components and the communication links between system components from cyber intrusions. The addition of two way communications between SUN and HAN introduces additional risk for unauthorized access to the AMI system. In this paper, we propose new AMI device authentication infrastructure, key establishment and security algorithm based on public key encryption to solve AMI network security problems.

• Journal of Korean Public Health Nursing
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• v.34 no.2
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• pp.165-181
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• 2020

Purpose: This study is an integrative review of previous research conducted on family-school nurse partnership in school health care, as perceived by school nurses, children, and families. Method: The study was conducted according to the five stages of integrative review suggested by Whittemore and Knafl (2005), which involved problem identification, literature search, data evaluation, data analysis, and presentation of results. Suitable literature was found using portals such as PubMed, CINAHL, Embase, and Web of Science. Key words such as school nurses, family, parents, children, and partnership were used to narrow the search results. Studies published in peer-review journals between 2006-2018 were selected. The quality of studies was appraised using critical appraisal tools provided by the Joanna Briggs Institute (2020). Result: Thirteen studies (5 quantitative and 8 qualitative) were finalized for the final review process. After an extensive review, four key themes of school nurse-family partnership in school health care were identified: partnership components, partnership barriers, partnership facilitators, and strategies to promote partnership. Conclusion: Partnership and its components, barriers, and facilitators, along with strategies for its promotion should be considered in school health care. Further studies are needed on the perceptions held by parents and children regarding school health care partnership.

• Earthquakes and Structures
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• v.11 no.6
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• pp.1043-1060
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• 2016

The engineering background of this article is an ancient wooden building with extremely high historic and cultural values in Tibet. A full understanding of the dynamic behaviour of this historic building under in-service environments is the basis to assess the condition of the structure, especially its responses to earthquake, environmental and operational loading. A dynamic monitoring system has been installed in the building for over one year and the large amounts of high quality data have been obtained. The paper aims at studying the dynamic behaviour of the wooden building in seismic and operational conditions using the field monitoring data. Specifically the effects of earthquake and crowd loading on the structure's dynamic response are investigated. The monitoring data are decomposed into principal components using the Singular Spectrum Analysis (SSA) technique. The relationship between the average acceleration amplitude and frequencies of the principle components and operational conditions has been discussed. One main contribution is to understand the health condition of complex ancient building based on large databases collected on the field.

• Journal of Power Electronics
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• v.17 no.5
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• pp.1288-1297
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• 2017

The estimation of the remaining useful life (RUL) of lithium-ion (Li-ion) batteries is important for intelligent battery management system (BMS). Data mining technology is becoming increasingly mature, and the RUL estimation of Li-ion batteries based on data-driven prognostics is more accurate with the arrival of the era of big data. However, the support vector machine (SVM), which is applied to predict the RUL of Li-ion batteries, uses the traditional single-radial basis kernel function. This type of classifier has weak generalization ability, and it easily shows the problem of data migration, which results in inaccurate prediction of the RUL of Li-ion batteries. In this study, a novel multi-kernel SVM (MSVM) based on polynomial kernel and radial basis kernel function is proposed. Moreover, the particle swarm optimization algorithm is used to search the kernel parameters, penalty factor, and weight coefficient of the MSVM model. Finally, this paper utilizes the NASA battery dataset to form the observed data sequence for regression prediction. Results show that the improved algorithm not only has better prediction accuracy and stronger generalization ability but also decreases training time and computational complexity.

• Nuclear Engineering and Technology
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• v.52 no.1
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• pp.178-184
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• 2020

The traditional methods for radiation shield design always only focus on either the structure or the components of the shields rather than both of them at the same time, which largely affects the shielding performance of the facilities, so in this paper, a novel method for designing the structure and components of shields simultaneously is put forward to enhance the shielding ability. The method is developed by using the genetic algorithm (GA) and the MCNP software. In the research, six types of shielding materials with different combinations of elements such as polyethylene (PE), lead (Pb) and Boron compounds are applied to the radiation shield design, and the performance of each material is analyzed and compared. Then two typical materials are selected based on the experiment result of the six samples, which are later verified by the Compact Accelerator Neutron Source (CANS) facility. By using this method, the optimal result can be reached rapidly, and since the design progress is semi-automatic for most procedures are completed by computer, the method saves time and improves accuracy.

• Journal of Internet Computing and Services
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• v.13 no.4
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• pp.73-82
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• 2012

The worldwide increase of cognitive surplus leads to successful social authoring projects. In this research, social authoring mechanisms used in Linux and Wikipedia projects were analyzed to identify the key success factors. In addition, tools used in the recent successful social media such as Facebook and Ushahidi were evaluated to extract components which may be applied in social authoring systems. Based on these analyses, the improvement factors in the design of social authoring projects were suggested. The social authoring projects are expected to be more successfully achieved by providing the core components proposed in this article.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.91-100
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• 2022

Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.

• Journal of Microbiology and Biotechnology
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• v.20 no.11
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• pp.1471-1480
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• 2010

An extremely thermostable xylanase gene, xynB, from the hyperthermophilic bacterium Thermotoga maritima MSB8 was successful expressed in Kluyveromyces lactis. The response surface methodology (RSM) was also applied to optimize the medium components for the production of XynB secreted by the recombinant K. lactis. The secretion level (102 mg/l) and enzyme activity (49 U/ml) of XynB in the optimized medium (yeast extract, lactose, and urea; YLU) were much higher than those (56 mg/l, 16 U/ml) in the original medium (yeast extract, lactose, and peptone; YLP). The secretory efficiency of mature XynB was also improved when using the YLU medium. When the mRNA levels of 13 characterized secretion-related genes in the K. lactis cultured in YLP and YLU were detected using a semiquantitative RT-PCR method, the unfolded protein response (UPR)-related genes, including ero1, hac1, and kar2, were found to be up-regulated in the K. lactis cultured in YLU. Therefore, the nutrient ingredients, especially the nitrogen source, were shown to have a significant influence on the XynB secretory efficiency of the host K. lactis.

• BMB Reports
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• v.49 no.1
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• pp.37-44
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• 2016

Spectraplakins are crucially important communicators, linking cytoskeletal components to each other and cellular junctions. Microtubule actin crosslinking factor 1 (MACF1), also known as actin crosslinking family 7 (ACF7), is a member of the spectraplakin family. It is expressed in numerous tissues and cells as one extensively studied spectraplakin. MACF1 has several isoforms with unique structures and well-known function to be able to crosslink F-actin and microtubules. MACF1 is one versatile spectraplakin with various functions in cell processes, embryo development, tissue-specific functions, and human diseases. The importance of MACF1 has become more apparent in recent years. Here, we summarize the current knowledge on the presence and function of MACF1 and provide perspectives on future research of MACF1 based on our studies and others. [BMB Reports 2016; 49(1): 37-44]