• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.97-99
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• 2013

Although UCI Identification metadata is not represented in the UCI syntax, it means a set of elements that enable users to easily and quickly identify. Against this backdrop, we research on how to design identification metadata for UCI. First of all, we check ISO/IEC 11179 and compare this with UCI properties. And then we defines nine components (such as UCI, Identifier, Title, Type, Mode, Format, Contributor, ContributorEntitiy, and ContributorRole) as elements of the identification metadata and establish encoding scheme with several parts (such as List of Encoding Scheme, Encoding Scheme of Identifier, Encoding Scheme of Type, Encoding Scheme of Mode, Encoding Scheme of Format, and Encoding Scheme of ContributorRole).

• Wind and Structures
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• v.14 no.3
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• pp.187-208
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• 2011

Based on the ANSYS, an approach of full-mode aerodynamic flutter analysis for long-span suspension bridges has been presented in this paper, in which the nonlinearities of structure, aerostatic and aerodynamic force due to the deformation under the static wind loading are fully considered. Aerostatic analysis is conducted to predict the equilibrium position of a bridge structure in the beginning, and then flutter analysis of such a deformed bridge structure is performed. A corresponding computer program is developed and used to predict the critical flutter wind velocity and the corresponding flutter frequency of a long-span suspension bridge with double main span. A time-domain analysis of the bridge is also carried out to verify the frequency-domain computational results and the effectiveness of the approach proposed in this paper. Then, the nonlinear effects on aerodynamic behaviors due to aerostatic action are discussed in detail. Finally, the results are compared with those of traditional suspension bridges with single main span. The results show that the aerostatic action has an important influence on the flutter stability of long-span suspension bridges. As for a suspension bridge with double main spans, the flutter mode is the first anti-symmetrical torsional vibration mode, which is also the first torsional vibration mode in natural mode list. Furthermore, a double main-span suspension bridge is better in structural dynamic and aerodynamic performances than a corresponding single main-span structure with the same bridging capacity.

• Journal of Broadcast Engineering
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• v.25 no.1
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• pp.109-112
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• 2020

VVC uses 67 modes in intra prediction. Most probable mode (MPM) is used to reduce data for the representation of intra prediction mode. If the mode to send exists in the MPM candidate, the index of the MPM list is transmitted. If it does not exist in the MPM candidate, TBC encoding is applied. When TBC is applied in intra prediction, three are selected in order of low number mode and coded into 5 bits. The remaining modes except the mode encoded by 5 bits are encoded by 6 bits. In this paper, we examine the limitations of the TBC used in VVC intra prediction and propose an adaptive method that can encode more efficiently than conventional methods when using TBC in intra prediction. As a result, the coding efficiency of the overall coding performance is 0.01% and 0.04% in AI and RA, respectively, compared with the conventional coding method.

• Journal of Hydrogen and New Energy
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• v.31 no.1
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• pp.65-72
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• 2020

In this study, the purpose is to identify the risks of the facilities of packaged hydrogen stations. As a risk identification method, failure mode & effect analysis (FMEA), a qualitative risk assessment, was used to analyze failure mode and effects of component of each facility. The analysis criteria were used to derive the risk priority number (RPN) using the 5-point method according to severity, incidence, and detectability. The study analyzed a total of 141 components of 23 types that can be identified on the design of the packaged hydrogen filling station. As a result, 683 types of failures and their causes and effects were identified. and the RPN was number of a total of 1,485. Of these, 10 failure types with a RPN value of 40 or more were deemed necessary. In addition, a list of failure types with a severity score of 5 was identified and analyzed.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.3
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• pp.432-440
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• 2011

Operational Mode Summary/Mission Profile(OMS/MP) is a document to quantify the operational and maintenance requirements based on the future operational environments and its mission and How to Fight concept in the development of the weapon system. It is important as a key document for the RAM goal setting in the early phase of weapon system development. The paper presents a systematic and practical submarine OMS/MP model processes with a deep analysis of relevant case studies and current status domestic and abroad. Especially, it proposes the unique Scenario Planning and Switch on List techniques with real case studies which have recently performed. The paper will contribute not only the basis of improved requirements for the development of weapon system but also the sustainment of readiness with the enhancement of RAM and reduction of total life cycle cost.

• Smart Structures and Systems
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• v.24 no.2
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• pp.243-256
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• 2019

Determination of the most meaningful structural modes and gaining insight into how these modes evolve are important issues for long-term structural health monitoring of the long-span bridges. To address this issue, modal parameters identified throughout the life of the bridge need to be compared and linked with each other, which is the process of mode tracking. The modal frequencies for a long-span bridge are typically closely-spaced, sensitive to the environment (e.g., temperature, wind, traffic, etc.), which makes the automated tracking of modal parameters a difficult process, often requiring human intervention. Machine learning methods are well-suited for uncovering complex underlying relationships between processes and thus have the potential to realize accurate and automated modal tracking. In this study, Gaussian mixture model (GMM), a popular unsupervised machine learning method, is employed to automatically determine and update baseline modal properties from the identified unlabeled modal parameters. On this foundation, a new mode tracking method is proposed for automated mode tracking for long-span bridges. Firstly, a numerical example for a three-degree-of-freedom system is employed to validate the feasibility of using GMM to automatically determine the baseline modal properties. Subsequently, the field monitoring data of a long-span bridge are utilized to illustrate the practical usage of GMM for automated determination of the baseline list. Finally, the continuously monitoring bridge acceleration data during strong typhoon events are employed to validate the reliability of proposed method in tracking the changing modal parameters. Results show that the proposed method can automatically track the modal parameters in disastrous scenarios and provide valuable references for condition assessment of the bridge structure.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.14 no.6
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• pp.599-605
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• 2003

A dual-mode asymmetric canonical filter is widely used in an input demultiplexer for satellite transponder. This paper deals with a simple synthesis method fur an asymmetric canonical filter. The coupling matrix of an asymmetric canonical filter is obtained by applying plane rotation technique to the coupling matrix of a symmetric canonical filter. This paper gives a list of pivots and rotation angles to obtain the coupling matrix of asymmetric canonical structure filters. The coupling matrix of 8th and 10th order asymmetric canonical filter is obtained by this proposed method. It is shown that the frequency response of asymmetric canonical filter is identical to that of symmetric canonical filter.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.597-599
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• 2009

We have developed new type of LCD Device which enables switching from reflective to tranmissive LCD mode and vice versa according to brightness of the surrounding. Alternation in these modes are possible by adding on circular polarized sheet and retardation film onto the bottom polarizer which allows the control of the back light and the LCD cell gamma voltage depending on the atmosphere. This method has been evaluated and confirmed by running on the LCD module device in which we have optimized retardation value by Poincare polarizer analysis.

• YAKHAK HOEJI
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• v.57 no.4
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• pp.289-292
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• 2013

A total of 2,080 forensic autopsies in Seoul, Incheon and Gyeonggi province were performed by the National Forensic Service (NFS) in 2010. After analysing blood samples collected at autopsies by GC-MS and LC-MS/MS, the types and prevalence of drugs and poisons in blood were investigated using our laboratory information management system. Among 2,080 cases, 1,061 cases (51%) were positive for drugs and poisons. Surprisingly, antidepressants were identified in 137 cases which comprised 13% of the positive cases. Twelve different kinds of antidepressants were determined: Amitriptyline, fluoxetine, nortriptyline, trazodone, imipramine, mirtazapine, citalopram, venlafaxin, clomipramine, paroxetine, sertraline and bupropion. Amitriptyline was the most frequently detected antidepressant and was identified in 39 cases. Moreover, amitriptyline, fluoxetine, and nortriptyline were included in the list of the 20 most commonly encountered drugs or poisons in the analysis of blood collected at autopsies from 2007 to 2009, indicating the prevalence of their use. In this study, the 137 antidepressant-related deaths were classified by the mode of death to predict the prevalence of these drugs. As a result, those deaths were divided into four groups based on the cause and mode of death: 56 cases of suicide with fatal concentrations of antidepressant drugs in blood, 6 homicidal cases directly or indirectly related to antidepressants, 59 natural deaths with antidepressants detected in blood and 16 deaths caused by fire or other accidents with antidepressants detected in blood. Because incidents involving antidepressants have been increasing, especially in suicides or homicides, it is necessary for the health authorities and law enforcement administrations to cooperate and share the statistical data for curbing the abuse of antidepressants. This report is expected to provide the reference data related with antidepressants for the investigation of the deaths.

• Journal of Plant Biotechnology
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• v.3 no.3
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• pp.113-121
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• 2001

The use of a marker gene in a transformation process aims to give a selective advantage to the transformed cells, allowing them to grow faster and better, and to kill the non-transformed cells. In general, the selective gene is introduced into plant genome along with the genes of interest. In some cases, the marker gene can be the gene of interest that will confer an agronomic characteristic, such as herbicide resistance. In this review we list and discuss the use of the most common selective marker genes on plant transformation and the effects of their respective selective agents. These genes could be divided in categories according their mode of action: genes that confer resistance to antibiotics and herbicides; and genes for positive selection. The contention of the marker gene flow through chloroplast transformation is further discussed. Moreover, strategies to recover marker-free transgenic plants, involving multi-auto-transformation (MAT), co-transformation, site specific recombination and intragenomic relocation of transgenes through transposable elements, are also reviewed.