• Proceedings of the PSK Conference
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• 2003.04a
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• pp.288.3-289
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• 2003

Sphingolipid species are important second messengers due to their role in the mitogenesis, differentiation and apoptosis. We developed a new column liquid chromatography-triple quadrupole tandem mass spectrometry (LC-MS/MS) in combination with multiple reaction monitoring (MRM) method for the rapid, simultaneous and quantitative determination of unambiguous detecting sphingolipids in cell culture of human cancer cells (HL-60). (omitted)

• Journal of the Optical Society of Korea
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• v.15 no.4
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• pp.352-356
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• 2011

Dual-wavelength holography has a better axial range than single-wavelength holography, allowing unambiguous phase imaging. Partial coherence sources reduce coherent noise, resulting in improved reconstructed images. We measured a ball-grid array using dual-wavelength holography with partial coherence sources. This holography method is useful for measurement samples that exhibit coherence noise and have a step height larger than the single wavelength used in holography.

• The Journal of the Acoustical Society of Korea
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• v.15 no.4E
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• pp.9-13
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• 1996

We developed an iterative algorithm which could improve the resolution of reconstructed tomograms having random attenuation patterns and analyzed the limitation of this algorithm. The simple back-and forth propagation algorithm has depth resolution about four wavelengths. An iterative algorithm, based on back-and-forth propagation, can be used to improve the resolution of reconstructed tomograms. We analyzed the wavefield for multi-layered specimen and programmed iterative algorithm using Clanguage. Simulation results show that the images get clearer as the number of iterations increases. Also, unambiguous images can be reconstructed using this algorithm even when the layer separation is only two wavelengths. However, this iteration algorithm comes up with an incorrect solution for the number of projections less than five.

• Korean Medical Education Review
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• v.11 no.1
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• pp.3-9
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• 2009

Outcome based education, a competence based approach at the cutting edge of curriculum development, offers a powerful and appealing way of reforming and managing medical education. The emphasis is on the product that is to say what sort of doctor will be producted rather than on the educational process. In outcome based education, the outcomes are clearly and unambiguously specified such as Tyler's curriculum design. The design of outcome based curriculum plans in the opposite direction, starting with the good doctor and working backwards. Outcome based curriculum offers many advantages as a way of achieving this. It emphasises relevance in the curriculum and accountability and can provide a clear and unambiguous framework for curriculum planning which has an intuitive appeal. It encourages the faculty and student to share responsibility for learning and it can guide the assessment.

• International Journal of CAD/CAM
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• v.3 no.1_2
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• pp.43-50
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• 2003

This paper presents a methodology in which the knowledge of design intents and change requests is communicated unambiguously cross collaboration partners through features. The domain of application is focused on the plastic part design for enabling effective collaboration between the product design and plastic mold making. The methodology takes the feature-based design approach and allows design features and knowledge to be reused in plastic injection mold design. It shortens the mold design lead-time, reduces mold design efforts, and enables unambiguous and fast design change management between product and mold designers. These contribute to the reduction of product development cycle time.

• The Journal of Society for e-Business Studies
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• v.5 no.1
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• pp.159-192
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• 2000

In spite of seemingly conflicting findings, a meta-analysis of studies published between 1971 and 1998 demonstrates an unambiguous relationship between attitude and IS use. The apparent contradictions arise principally because of methodological inconsistencies in the way that attitude was measured (belief or affect) and the timing of the measurement of attitude vis-5-vis the use of the technology. We found that the affective dimension of attitude is more powerful than the cognitive dimension for explaining IS use. However, neither is particularly strong in predicting future use.

• Journal of The Korean Astronomical Society
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• v.21 no.2
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• pp.133-153
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• 1988

Linear polarization has been measured for fifteen extragalactic radio sources in the field of supernova remnant S 147. These observations were made at 4885, 4835, 1665, 1515, 1465, and 1385 MHz using the Very Large Array, primarily to determine unambiguous Rotation Measures (RM) of the sources. This yields a total of 11 new RM sources. Comparisons of a sample of sources which are seen through S 147 were made with sources located farther away. The result tentatively indicates that the distribution of the rotation measure of the former population is broadened, with more than a 85% level of confidence. This constitutes evidence that there is a SNR contribution to rotation measure in sources seen through the SNR. Limits on this RM contribution are statistically at 30 < | RM | < 70 rad $m^{-2}$ with a 85% statistical level of confidence. These result imply the magnetic field in the rim of S 147 has strength 10 microguass if the electron density is $1\;cm^{-3}$.

• Korean Journal of Computational Design and Engineering
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• v.3 no.1
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• pp.68-85
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• 1998

Solid modeling refers to techniques for unambiguous representations of three-dimensional objects. Feature recognition is a sub-discipline focusing on the design and implementation of algorithms for detecting manufacturing information such as holes, slots, etc. in a solid model. Automated feature recognition has been an active research area in stolid modeling for many years, and is considered to be a critical component for CAD/CAM integration. This paper gives a technical overview of the state of the art in feature recognition research. Rather than giving an exhaustive survey, I focus on the three currently dominant feature recognition technologies: graph-based algorithms, volumetric decomposition techniques, and hint-based geometric reasoning. For each approach, I present a detailed description of the algorithms being employed along with some assessments of the technology. I conclude by outlining important open research and development issues.

• Journal of the Korean Vacuum Society
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• v.12 no.S1
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• pp.49-51
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• 2003

Amorphous hydrous ruthenium oxide thin films have attracted much interest owing to the possibility of using this material in electrochemical supercapacitors. Recently, it was found that this material is also electrochromic: during the charging/discharging cycle, the optical transmittance of the thin film is modulated. The physical and chemical origin of this phenomenon is not fully understood yet. In this work, we performed in-situ Raman spectroscopy measurements on amorphous hydrous ruthenium oxide thin films during the charging/discharging cycles. Unambiguous changes in the Raman spectrum were observed as protons were injected or extracted from the thin film. When the samples were annealed to reduce the water content, there is a consistent trend in the Raman spectrum. The origins of the Raman features and their relation to the electrochromic and/or supercapacitor characteristics is discussed.

• Journal of the Korea Computer Graphics Society
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• v.3 no.2
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• pp.77-84
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• 1997

Solid modeling refers to techniques for unambiguous representations of three- dimensional objects. The most widely used techniques for solid modeling have been Constructive Solid Geometry (CSG) and Boundary Representation (BRep). Contemporary solid modeling systems typically support both representations, and bilateral conversions between CSG and BRep are essential. However, computing a CSG from a BRep is largely an open problem. This paper presents 3D geometric reasoning algorithms for converting a BRep into a special CSG, called Destructive Solid Geometry (DSG) whose Boolean operations are all subtractions. The major application area of BRep-to-DSG conversion is feature recognition, which is essential for integrating CAD and CAM.