• Computational Structural Engineering
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• v.3 no.1
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• pp.71-81
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• 1990

The isolation system is installed at the base of a structure for reduction of the earthquake damage to the structure. In the 1970', when the laminated rubber bearing(LR type) is developed, the isolation system is put in practice. And recently a new isolation system(SR type), including the laminated rubber bearing with the friction plate beneath, is developed. In this thesis, a study on the base isolation effect, for various of the isolation system and structure properties, is performed. The results of this parameter study show that the isolation system can reduce the earthquake damage of the building structures significantly. As the period of isolation system increases, the isolation effect increases and converges to zero damage. As the number of story increases, the isolation effect reduces. It is found that SR type isolation system is more effective than LR type because SR type base isolation system reduces acceleration, drift and total displacement.

• The Journal of the Acoustical Society of Korea
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• v.16 no.2
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• pp.107-113
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• 1997

To achive a robust Korean word recognition system for both channel distortion and additive noise, maximum a posteriori estimation(MAP) adaptation is proposed and the effectiveness of environmental adaptation for improving recognition performance is investigated in this paper. To do this, recognition experiments using MAP adaptation are carried out for the three different speech ; 1) channel distortion is introduced, 2) environmental noise is added, 3) both channel distortion and additive noise are presented. Theeffectiveness of additive feature parameters, such as regressive coefficients and durations, for environmental adaptation are also investigated. From the speaker independent 100 words recognition tests, we had 9.0% of recognition improvement for the case 1), more than 75% for the case 2), and 11%~61.4% for the case 3) respectively, resulting that a MAP environmental adaptation is effective for both channel distorted and noise added speech recognition. But it turned out that duration information used as additive feature parameter did not played an important role in the tests.

• Hwankyungkyoyuk
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• v.22 no.1
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• pp.12-30
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• 2009

The relationship between marine environmental improvement and environmental perception of the inhabitants was investigated. For this purpose, the seawater and bottom materials were analysed. Apart from this, the questionnaire surveys were also conducted around the Sun-so coastal area. In order to examine the improvement in the marine environment, 12 monitoring sites, which are located around Sun-so coast and can be divided into two parts such as inland (GW1-GW6) and outland (GW7-GW12) sea, were chosen. All the collected samples were analyzed to find out the quality of seawater (temperature, pH, salinity, dissolved oxygen: DO, chemical oxygen demand: COD and suspend solid: SS), nutrients (total nitrogen: TN and phosphate: $PO_4-P$) and bottom materials (COD, volatile solids: VS) as per the standard analytical procedures. In addition, the questionnaire mainly focused on the following three factors: 1) social economy, 2) dependent environmental awareness and 3) independent environmental awareness related with the environmental education. The monitoring studies indicated that the marine environment of the Sun-so coast showed various trends for analyzing parameter. No significant temporal changes in temperature, pH and salinity were observed. However, the other parameters showed decreasing (COD, SS, TN, $PO_4-P$ and VS) and increasing (DO) trends according to the quality of seawater and bottom materials. The questionnaire survey clearly showed that most of the residents in Sun-so recognized the improvement of marine environment as compared with the situation experienced in the past. The dredging project which is closely related with economic and living conditions of the local residents led to alter the environmental perceptions and attitudes. The survey also indicated that the inhabitants perceived the necessity of the environmental education (87% of respondents) and preferred regular schooling (55% of respondents) as effective and practical education methods.

• Journal of the Korean Geotechnical Society
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• v.27 no.1
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• pp.25-34
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• 2011

In general, many instrumentations of slope rely on theory or experience because on-site accessibility and long term instrumentation are difficult to conduct the instrumentation of slopes. Also the prediction of disaster is very difficult. Therefore experimental research was conducted about an effective method to predict collapse of slope and on-site applicability in this study. The collapse of slope was able to be predicted by applying AE sensor which we call WEAD to the failure criteria. The parameters of AE generated during the collapse of slope were secured through bending shear test. Test construction was applied to the slope with a history and a possibility of collapse. As a result, it is shown that AE parameters do not exceed the failure criterion and is found to be stable slopes. As the real symptoms of collapse did not appear, AE was found to have excellent applicability.

• Convergence Security Journal
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• v.11 no.1
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• pp.25-32
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• 2011

In this study, software products developed in the course of testing, software managers in the process of testing software test and test tools for effective learning effects perspective has been studied using the NHPP software. The Weibull distribution applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than automatic error that is generally efficient model could be confirmed. This paper, a numerical example of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R_{sq}$.

• Convergence Security Journal
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• v.12 no.3
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• pp.19-26
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• 2012

In this study, software products developed in the course of testing, software managers in the process of testing software and tools for effective learning effects perspective has been studied using the NHPP software. The log type hazard function applied to distribution was based on finite failure NHPP. Software error detection techniques known in advance, but influencing factors for considering the errors found automatically and learning factors, by prior experience, to find precisely the error factor setting up the testing manager are presented comparing the problem. As a result, the learning factor is greater than autonomous errors-detected factor that is generally efficient model could be confirmed. This paper, a failure data analysis of applying using time between failures and parameter estimation using maximum likelihood estimation method, after the efficiency of the data through trend analysis model selection were efficient using the mean square error and $R^2$(coefficient of determination).

• Journal of Ecology and Environment
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• v.29 no.6
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• pp.581-584
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• 2006

The tissue water relation parameters were compared to assess the resistance of representative three gardening tree species to water stress. Zelkova serrata showed a strong resistant characteristics to water stress compared to Betula platyphylla var. japonica and Liriodendron turipifera. Turgor pressure at turgor loss point in Z. serrata was -2.54 MPa, whereas those of 5. platyphylla var, japonica and L. turipifera were -2.24 and -2.03, respectively. In addition, Z. serrata showed less reduction in pressure potential to decrease of free water content in the leaf tissue, indicating effective shrinking of the cell wall compared to others. On the other hand, L. turipifera indicated a weak resistance to water stress, which has low turgor potential at turgor loss point and cell wall elasticity. These results suggest that Z. serrata would be suitable for relatively dry conditions of location and humid conditions of location would be suitable for L. dendronas plantation.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.55 no.6
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• pp.264-273
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• 2006

In this paper, we propose a new architecture of Self-Organizing Fuzzy Polynomial Neural Networks (SOFPNN) by means of consecutive optimization and also discuss its comprehensive design methodology involving mechanisms of genetic optimization. The network is based on a structurally as well as parametrically optimized fuzzy polynomial neurons (FPNs) conducted with the aid of information granulation and genetic algorithms. In structurally identification of FPN, the design procedure applied in the construction of each layer of a SOFPNN deals with its structural optimization involving the selection of preferred nodes (or FPNs) with specific local characteristics and addresses specific aspects of parametric optimization. In addition, the fuzzy rules used in the networks exploit the notion of information granules defined over system's variables and formed through the process of information granulation. That is, we determine the initial location (apexes) of membership functions and initial values of polynomial function being used in the premised and consequence part of the fuzzy rules respectively. This granulation is realized with the aid of the hard c-menas clustering method (HCM). For the parametric identification, we obtained the effective model that the axes of MFs are identified by GA to reflect characteristic of given data. Especially, the genetically dynamic search method is introduced in the identification of parameter. It helps lead to rapidly optimal convergence over a limited region or a boundary condition. To evaluate the performance of the proposed model, the model is experimented with using two time series data(gas furnace process, nonlinear system data, and NOx process data).

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.11
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• pp.1311-1319
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• 1992

In the partial-band interference and Rayleigh fading environments, the bit error probability equation of FH/MFSK signal has been derived and the error rate has been evaluated. And the results are shown in graphs and discussed. Here, to improve the error rate performance the repeated diversity and the error-correction coding techniques are adopted. The degree of improvement of error rate performance has been found out in diversity and coding techniques respectively. In diversity case, repetition number is taken as a parameter and in coding case, as the error-correction codes Hamming code, BCH code, and convolutional code are introduced. From the obtained results, we have known that the increase of the number of repetition in diversity technique has been brought a little improvement of performance but the coding technique considerable improvement and in particular, convolutional code is very effective. Therefore, coding technique is considered to be better than repeated diversity to cope with Rayleigh fading and partial-band interference.

• Journal of the Korean Institute of Gas
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• v.3 no.1
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• pp.33-40
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• 1999

The extraction characteristics of lipids from powdered sea mustard have been investigated by the use of supercritical carbon dioxide($SC-CO_2$) and cosolvents. The extraction rate was increased as the particle size of the sea mustard is smaller, the pressure is higher, the temperature is lower, and the quantities of the fluid is more. However, the extraction yield of lipids from sea mustard was almost constant at a given condition. The optimum extraction condition was determined with the extraction yield of $1.45wt\%$ at 300um of particle size, 313K of $SC-CO_2$ temperature, 13.8MPa of pressure, and 30L/min of flow rate. Ethanol was the most efficient cosolvent among ethanol, methanol, and hexane. The extraction yield was increased at about 2.21times by the addition of ethanol as a cosolvent to $SC-CO_2$. As the residence time and the average concentration of lipids were decreased, the mass transfer parameter($k_fa$) was increased. But the opposite result was obtained when the ethanol was used as cosolvent.