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Solving the Monkey and Banana Problem Using DNA Computing (DNA 컴퓨팅을 이용한 원숭이와 바나나 문제 해결)

  • 박의준;이인희;장병탁
    • Korean Journal of Cognitive Science
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    • v.14 no.2
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    • pp.15-25
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    • 2003
  • The Monkey and Banana Problem is an example commonly used for illustrating simple problem solving. It can be solved by conventional approaches, but this requires a procedural aspect when inferences are processed, and this fact works as a limitation condition in solving complex problems. However, if we use DNA computing methods which are naturally able to realize massive parallel processing. the Monkey and Banana Problem can be solved effectively without weakening the fundamental aims above. In this paper, we design a method of representing the problem using DNA molecules, and show that various solutions are generated through computer-simulations based on the design. The simulation results are obviously interesting in that these are contrary to the fact that the Prolog program for the Monkey and Banana Problem, which was implemented from the conventional point of view, gives us only one optimal solution. That is, DNA computing overcomes the limitations of conventional approaches.

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Identification of Buza by Detecting Aconitine-type Alkaloids (Aconitine 류 알칼로이드의 검출에 의한 부자류 생약의 확인)

  • Eom, Dong-Ok;Ban, Tae-Hwan
    • Analytical Science and Technology
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    • v.12 no.3
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    • pp.243-247
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    • 1999
  • After aconitine-type alkaloids have been isolated from the crude drug "Buza" as the precipitate, they could be identified with colour test, UV/Vis. absorption wavelength, TLC. The presence of aconitine-type alkaloids are confirmed by the reaction with the Reineke ion, $[Cr(NH_3)_2(SCN)_4]^{1+}$, and TCR ion, $[Co(SCN)4]^{2-}$, to produce the white precipitate or one of the containing from blue to yellowish blue. It is based on the formation of complex compounds by aconitine-type alkaloids with Reineke and TCR reagent. The method has been found to be simple, convenient and suitable for routine identification of aconitine-type alkaloids, related basic compounds, the crude drug "Buza" processed from the roots of certain Aconitum spp. plants(Ranunculaceae).

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Detection Method of Leukocyte Motions in a Microvessel (미소혈관 내 백혈구 운동의 검출법)

  • Kim, Eung-Kyeu
    • Journal of the Institute of Convergence Signal Processing
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    • v.15 no.4
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    • pp.128-134
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    • 2014
  • In this paper, we propose a detection method of the leukocyte motions in a microvessel by using spatiotemporal image analysis. The leukocyte motions that adhere to blood vessel walls can be visualized to move along the blood vessel wall's contours in a sequence of images. In this proposal method, we use the constraint that the leukocytes move along the blood vessel wall's contours and detect the leukocyte motions by using the spatiotemporal image analysis method. The generated spatiotemporal image is processed by a special-purpose orientation-selective filter and then subsequent grouping processes are done. The subsequent grouping processes select and group the leukocyte trace segments among all the segments obtained by simple thresholding and skeletonizing operations. Experimental results show that the proposed method can stably detect the leukocyte motions even when multiple leukocyte traces intersect each other.

A Design Method of Game Formulas by Analyzing the Tree Structure of The Operands (피연산자들의 트리구조 분석을 통한 게임공식 설계방법)

  • Chang, Hee-Dong
    • Journal of Korea Game Society
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    • v.11 no.2
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    • pp.39-44
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    • 2011
  • Computer games need game formulas which express game rules by mathematical functions because the game rules are automatically processed by computers. The game formulas are usually multi-variable functions. So the design of a game formula is a complex and difficult problem because it is the same problem of the design of a multi-variable function which should satisfy the related game rules. In this paper we propose a new method which can systematically design game formulas. The purposed method is the decomposing of tree structure for a game formula by analyzing the tree structure of the operands which have single-variable functions on the lowest levels. So the design method can change the complex and difficult problem of the design of a multi-variable function to the simple and easy problem of the design of the single-variable function which should satisfy the related game rules.

Polycrystalline Ceramic Fibers by Extrusion

  • Sagesser, Peter;Wegmann, Markus;Gut, Beat;Berroth, Karl;,
    • The Korean Journal of Ceramics
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    • v.4 no.4
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    • pp.382-386
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    • 1998
  • titanate and a silicon carbide/zirconium diboride particulate composite have each been blended with thermoplastic of aqueous binders and extruded. The green extrudates have diameters ranging between 50 and 150 ㎛ and polyethylene-base 150 ${\mu}m$ diameter fibers can be drawn down at elevated temperature to approximately 40 ${\mu}m$ diameter. Hollow fibers with 150${\mu}m$ outer and 90 ${\mu}m$ inner diameter can also be fabricated. Green fibers have been processed into chopped fiber felts for use as gas distributors/current collectors in an experimental solid oxide fuel cell (SOFC) and the first attempts at producing simple textile structures have been successful. The fibers, tubes and felts have been successfully debound and sintered and characterization of the sintered PSZ fibers, for example, has revealed a density in excess of 99% and tensile failure stresses up to 1.0 GPa for 78 ${\mu}m$ diameter fibers.

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RCS Prediction of Complex Targets (복합구조물의 RCS 예측)

  • 석성하;서태일;전상미;박해상;김효태
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.11 no.6
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    • pp.929-938
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    • 2000
  • A summary of the development and verifications of a computer code being developed at Pohang University of Science and Technology (POSTECH) for calculating the radar cross section(RCS) of complex targets is presented. The complex targets are modeled in terms of patches and wedges. This code utilizes physical optics, physical theory of diffraction and shooting and bouncing rays method to calculate the RCS of complex targets. For the verification of the RCS prediction code, a simple-shaped scale-model was manufactured and the RCS was measured at the POSTECH compact range. The obtained RCS was processed to give frequency-domain RCS patterns and ISAR images. The predicted RCS shows good agreement with measured one. The RCS prediction methods presented here are applicable to stealth design and target recognition.

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Inundation Hazard Zone Created by Large Lahar Flow at the Baekdu Volcano Simulated using LAHARZ

  • Park, Sung-Jae;Lee, Chang-Wook
    • Korean Journal of Remote Sensing
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    • v.34 no.1
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    • pp.75-87
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    • 2018
  • The Baekdu volcano (2,750 m a.s.l.) is located on the border between Yanggando Province in North Korea and Jilin Province in China. Its eruption in 946 A.D. was among the largest and most violent eruptions in the past 5,000 years, with a volcanic explosivity index (VEI) of 7. In this study, we processed and analyzed lahar-inundation hazard zone data, applying a geographic information system program with menu-driven software (LAHARZ)to a shuttle radar topography mission 30 m digital elevation model. LAHARZ can simulate inundation hazard zones created by large lahar flows that originate on volcano flanks using simple input parameters. The LAHARZ is useful both for mapping hazard zones and estimating the extent of damage due to active volcanic eruption. These results can be used to establish evacuation plans for nearby residents without field survey data. We applied two different simulation methods in LAHARZ to examine six water systems near Baekdu volcano, selecting weighting factors by varying the ratio of height and distance. There was a slight difference between uniform and non-uniform ratio changes in the lahar-inundation hazard zone maps, particularly as slopes changed on the east and west sides of the Baekdu volcano. This result can be used to improve monitoring of volcanic eruption hazard zones and prevent disasters due to large lahar flows.

Application of the tri-axial drill-bit VSP method to drilling for geological survey in civil engineering

  • Soma Nobukazu;Utagawa Manabu;Seto Masahiro;Asanuma Hiroshi
    • Geophysics and Geophysical Exploration
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    • v.7 no.1
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    • pp.70-79
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    • 2004
  • We have examined the applicability of the triaxial drill-bit VSP method (TAD-VSP) to the geological survey of possible sites for a high-level radioactive waste disposal repository. The seismic energy generated by a drill bit is measured by a downhole multi-component detector, and the resulting signals are processed to image the geological structure deep underground. In order to apply the TAD-VSP method to civil-engineering-scale drilling, we have developed a small but highly sensitive and precise three-component downhole seismic measurement system, and recorded drill-bit signals at a granite quarry. We have successfully imaged discontinuities in the granite, possibly related to fractures, as highly reflective zones. The discontinuities imaged by the TAD-VSP method correlate well with the results of other borehole observations. In conclusion, the TAD-VSP method is usable in geological investigations for civil engineering because the equipment is compact and it is simple to acquire the drill-bit signal.

A Simulation of the Myocardium Activation Process using the Discrete Event Cell Space Model (DEVCS 모델을 사용한 심근 활성화과정의 시뮬레이션)

  • Kim Gwang-Nyeon;Jung Dong-Keun;Kim Gi-Ryon;Choi Byeong-Cheol;Lee Jung-Tae;Jeon Gye-Rok
    • Journal of the Korea Society for Simulation
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    • v.13 no.4
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    • pp.1-16
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    • 2004
  • The modelling and simulation of the activation process for the heart system is meaningful to understand special excitatory and conductive system in the heart and to study cardiac functions because the heart activation conducts through this system. This thesis proposes two dimensional cellular automaton(CA) model for the activation process of the myocardium and conducted simulation by means of discrete time and discrete event algorithm. In the model, cells are classified into anatomically similar characteristic parts of the heart and each of cells has a set of cells with preassigned properties. Each cell in this model has state variables to represent the state of the cell and has some state transition rules to change values of state variables executed by state transition function. The state transition rule is simple as follows. First, the myocardium cell at rest stay in passive state. Second, if any one of neighborhood cell in the myocardium cell is active state then the state is change from passive to active state. Third, if cell's state is an active then automatically go to the refractory state after activation phase. Four, if cell's state is refractory then automatically go to the passive state after refractory phase. These state transition is processed repeatedly in all cells through the termination of simulation.

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SVM을 이용한 지구에 영향을 미치는 Halo CME 예보

  • Choe, Seong-Hwan;Mun, Yong-Jae;Park, Yeong-Deuk
    • The Bulletin of The Korean Astronomical Society
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    • v.38 no.1
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    • pp.61.1-61.1
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    • 2013
  • In this study we apply Support Vector Machine (SVM) to the prediction of geo-effective halo coronal mass ejections (CMEs). The SVM, which is one of machine learning algorithms, is used for the purpose of classification and regression analysis. We use halo and partial halo CMEs from January 1996 to April 2010 in the SOHO/LASCO CME Catalog for training and prediction. And we also use their associated X-ray flare classes to identify front-side halo CMEs (stronger than B1 class), and the Dst index to determine geo-effective halo CMEs (stronger than -50 nT). The combinations of the speed and the angular width of CMEs, and their associated X-ray classes are used for input features of the SVM. We make an attempt to find the best model by using cross-validation which is processed by changing kernel functions of the SVM and their parameters. As a result we obtain statistical parameters for the best model by using the speed of CME and its associated X-ray flare class as input features of the SVM: Accuracy=0.66, PODy=0.76, PODn=0.49, FAR=0.72, Bias=1.06, CSI=0.59, TSS=0.25. The performance of the statistical parameters by applying the SVM is much better than those from the simple classifications based on constant classifiers.

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