• Applied Biological Chemistry
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• v.20 no.1
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• pp.117-122
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• 1977

Development of new burning additives against nitrate salts used in past tobacco industry examined to reduce harmful nitrogenous compounds in smoke. Among several additives treated, the best effect by means of elevation of combustibility and reduction of tar and nicotin contents in smoke was observed by adding sodium citrate from 0.6 to 1% in tabacco. The following results were obtained through investigating combustibility, chemical composition, and differential thermal analysis of the tabacco treated with the buring additives. 1) The close relation was observed between the levels of the smoke components and combustibility of the treated tabacco. 2) Differential thermal analysis (D.T.A.) of citrate-treated tobacco shows an increase in H. Value and a decrease in L. Value as compared with other tobacco sample. 3) The D.T.A. of sodium-nitrate and sodium-citrate shows that sodium-nitrate gives endothermal reaction at $270^{\circ}$ and $310^{\circ}$ and sodium citrate gives exothermal reaction at $290^{\circ}$ with endothermal reaction at $170^{\circ}\;and\;310^{\circ}$. 4) $Na_3-citrate-treated$ tobacco shows an increase in smoke generation between room temperature and $350^{\circ}$ (Zone A) and a decrease in smoke generation between $350^{\circ}$ and $900^{\circ}$ (Zone B) compared with untreated tobacco. The smoke from these tobacco also contains lower levels of Tar, Nicotine, Phenols, Nitrogen oxides and Benzpyrene, and elevation of static Burning rate.

• The KIPS Transactions:PartD
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• v.19D no.1
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• pp.63-80
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• 2012

Mobile devices with Android OS and iOS have been emerged as mobile computing devices where various software applications are deployed. Furthermore, they are anticipated to be used not only for traditional personal computing but also for enterprise computing. However, such mobile devices have their intrinsic characteristics such as limited resources and flexible network capabilities, which are not revealed in traditional computers. Hence, there is high demand for methods to develop mobile applications with reflecting their intrinsic characteristics. Since those characteristics belong to non-functional requirements, they should be reflected in architecture design while designing mobile applications. To design architecture, the architecture drivers that are architecture non-functional requirements are decided from mobile application characteristics. Conventional architecture design methods do not consider those characteristics so that the methods cannot be straightforwardly applied to mobile applications. In this paper, to efficiently develop mobile applications reflecting those characteristics, we propose a set of architecture patterns and define a guideline to apply those patterns. First, we define the characteristics of mobile applications distinguished and derive architectural drivers from them. Then, we propose architecture patterns in terms of static and dynamic views and define an architectural guideline to apply the patterns to designing architecture for mobile application. And, we perform case studies to verify the applicability of proposed patterns. Finally, we assess the proposed architecture patterns by proving how the patterns can fulfill identified architecture drivers and by comparing our approach with previous works.

• Journal of Dental Rehabilitation and Applied Science
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• v.28 no.4
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• pp.339-347
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• 2012

In previous studies, methods for enhancing cellular response on the Hydroxyapatite coated implant surface were described. In this study, the changes of surface characteristics such as surface roughness, contact angle, surface energy and surface morphology were observed when Hydroxyapatite coated Ti discs were immersed in NaCl solution for various time. Hydroxyapatite coated Ti discs were immersed in 0.9% NaCl solution for 7, 14 and 21 days at $37^{\circ}C$. The control group comprises dry identical discs not immersed in a solution. (n=3) All discs were dried in air completely and the surface roughness was measured using confocal laser scanning microscopy(CLSM). Static contact angle was recorded by video contact angle analyzer after dropping distilled water on the surface. The surface energy was calculated from contact angles of the three liquids. Surface was observed using a field emission-scanning electron microscope(FE-SEM). As a result, the surface roughness of immersed Hydroxyapatite coated Ti discs increased significantly and the contact angle decreased comparing with control group discs. The surface energy of immersed discs increased except for discs immersed for 14 days.

• Journal of the Korea Convergence Society
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• v.11 no.5
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• pp.87-96
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• 2020

The purpose of this study is to evaluate the convergence effectiveness of treadmill training in patients with chronic stroke through a meta-analysis. After searching the literature based on the patients, intervention, comparison, outcome criteria, and study desigan, a total of 22 studies related to "stroke" and "treadmill" were eligible for inclusion. Effect size was calculated using the comprehensive meta-analysis program for the meta-analysis. Based on the forest plot results, the overall effect size of treadmill training was 0.661 (95% confidence interval: 0.456-0.865), which was statistically significant with a medium effect size (p < 0.05). The effects of treadmill training on patients with stroke were separated by dependent variables of interest-plantar pressure (1.147), lower limb muscle function (0.875), and balance (0.664). The effect sizes were evaluated for the subdomains of timed up and go test (0.553), Berg Balance Scale (0.760), and static balance index (0.654) for balance. Therefore, treadmill training can be expected to have a positive impact on improving the quality of life of patients with chronic stroke. This meta-analysis of treadmill training may the lead to an industry paradigm shift toward healthcare convergence of information, communication, and medical technology.

• Nuclear Medicine and Molecular Imaging
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• v.40 no.6
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• pp.327-331
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• 2006

Purpose: Aspiration scintigraphy is a procedure of nuclear imaging to evaluate aspiration and of quantifying the amount of aspirate. The ultimate goal of our study is to define the correlation between aspiration and aspiration pneumonia by aspiration scintigraphy and this is a preliminary report of its trial. Materials and methods: Ten patients with positive findings by videofluoroscopy were selected. The patients ingested semi-solid food containing Tc-99m tin colloid 92.5 MBq (2.5 mCi) and images were acquired immediately after the ingestion and 3 hrs later. A fraction of aspiration to the ingested was calculated using an equation with a decay correction. Results: Five patients were interpreted positive by aspiration scintigraphy. Four patients were positive at initial images and the fractions of aspiration were 0.11%, 0.11%, 0.81%, and 0.11%. The one patient who was shown aspirated at both images had initial 5.82% and delayed 2.26%. Conclusion: Aspiration scintigraphy enables us to localize the aspiration at any desired time of the test and to quantify its amount. Follow-up studies are warranted.

• Journal of KIISE:Databases
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• v.30 no.5
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• pp.451-463
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• 2003

Recently, there have been various research efforts to develop strategies for accelerating OLAP operations on huge amounts of spatio-temporal data. Most of the work is based on multi-tree structures which consist of a single R-tree variant for spatial dimension and numerous B-trees for temporal dimension. The multi~tree based frameworks, however, are hardly applicable to spatio-temporal OLAP in practice, due mainly to high management cost and low query efficiency. To overcome the limitations of such multi-tree based frameworks, we propose a new approach called Hilbert Cube(H-Cube), which employs fractals in order to impose a total-order on cells. In addition, the H-Cube takes advantage of the traditional Prefix-sum approach to improve Query efficiency significantly. The H-Cube partitions an embedding space into a set of cells which are clustered on disk by Hilbert ordering, and then composes a cube by arranging the grid cells in a chronological order. The H-Cube refines cells adaptively to handle regional data skew, which may change its locations over time. The H-Cube is an adaptive, total-ordered and prefix-summed cube for spatio-temporal data warehouses. Our approach focuses on indexing dynamic point objects in static spatial dimensions. Through the extensive performance studies, we observed that The H-Cube consumed at most 20% of the space required by multi-tree based frameworks, and achieved higher query performance compared with multi-tree structures.

• Archives of design research
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• v.12 no.4
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• pp.294-303
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• 1999

With the breakthrough development of computing environment, the design phases have been changed a lot nowadays. In the case of prior phases of transportation design such as cars and forklift-trucks design, designers have depended on surveys and 2D line drawings for fixing a product layout and extracting ergonomic data. In this method, designers don't meet only the problem of reliability of measuring data but also, the problems of unknown situation of operators' fatigue and comfort in work situation. In these methods, it has much less creditability to have a 2D human model to check the real world motion due to the limitation of the 3 Dimension. Even though with a 2D human model, perfect layout is determined, it is still difficult to measure about comfort and fatigue for a user because it measuring an analysing method is static. The development of computer hardware and software have not only changed the flow in the social-wide range but also immerged design into Virtual Environment. In conventional design method, visualization and data transferring have been the main issues but, in virtual environment, determining of design layout and analysing ergonomic data with sophisticated feeling about comfort and fatigue are possible by using 3D virtual human. In this study, the general characteristics of virtual environment was discussed and the possibility of digital process of design was treated. For these studies, layout design for forklift-trucks was tested. Eventually, the merits of each design phase applied virtual environment are discussed.

• 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.

• Journal of Korean Society of Steel Construction
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• v.10 no.1 s.34
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• pp.47-61
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• 1998

The behavior of horizontally curved I-girder bridges is complex because the flexural and torsional behavior of curved girders are coupled due to their initial curvature. Also, the behavior is affected by cross beams. To investigate the behavior of horizontally curved I-girder bridges, it is necessary to consider curved girders with cross beams. In order to perform free vibration analyses of horizontally curved I-girder bridges, a finite element formulation is presented here and a finite element analysis program is developed. The formulation that is presented here consists of curved and straight beam elements, including the warping degree of freedom. Based on the theory of thin-walled curved beams, the shape functions of the curved beam elements are derived from homogeneous solutions of the static equilibrium equations. Third-order hermits polynomials are used to form the shape functions of the straight beam elements. In the finite element analysis program, global stiffness and mass matrix are composed, based on the Cartesian coordinate system. The Gupta method is used to efficiently solve the eigenvalue problem. Comparing the results of several examples here with those of previous studies, the formulation presented is verified. The validity of the program developed is shown by comparing results with those analyzed by the shell element.

• Korean Journal of Microbiology
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• v.54 no.3
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• pp.188-199
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• 2018

Genomic epidemiology exploits various basic microbial research areas. High-throughput sequencing technologies dramatically have been expanding the number of microbial genome sequences available. Abundant genomic data provide an opportunity to perform strain typing more effectively, helping identify microbial species and strains at a higher resolution than ever before. Genomic epidemiology needs to find antimicrobial resistance genes in addition to standard genome annotations. Strain typing and antimicrobial resistance gene finding are static aspects of genomic epidemiology. Finding which hosts infected which other hosts requires the inference of transient transmission routes among infected hosts. The strain typing, antimicrobial resistance gene finding, and transmission tree inference would allow for better surveillance of microbial infectious diseases, which is one of the ultimate goals of genomic epidemiology. Among several high-throughput sequencing technologies, genomic epidemiology will benefit from the more portability and shorter sequencing time of the Oxford Nanopore Technologies's MinION, the third-generation sequencing technology. Here, this study reviewed computational methods for quantifying antimicrobial resistance genes and inferring disease transmission trees. In addition, the MinION's applications to genomic epidemiology were discussed.