• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.5 no.1
• /
• pp.21-30
• /
• 1985

The tension leg platform (TLP) is a kind of compliant structures, and is also a type of moored stable platform with a buoyancy exceeding the weight because of having tensioned vertical anchor cables. In this paper, among the various kinds of tension leg structures, Deep Oil Technology (DOT) TLP was analyzed because it has large-displacement portions of the immersed surface such as vertical corner pontoons and small-diameter elongated members such as cross-bracing. It also has results of hydraulic model tests, comparable with theorectical analysis. Because of the vertical axes of symmetry in the three vertical buoyant legs and because there are no larger horizontal buoyant members between these three vertical members, it was decided to develop a numerical algorithm which would predict the dynamic response of the DOT TLP using the previously developed numerical algorithm Floating Vessel Response Simulation (FVRS) for vertically axisymmetric bodies of revolution. In addition, a linearized hydroelastic Morison equation subroutine would be developed to account for the hydrodynamic pressure forces on the small member cross bracing. Interaction between the large buoyant members or small member cross bracings is considered to be negligible and is not included in the analysis. The dynamic response of the DOT TLP in the surge mode is compared with the results of the TLP algorithm for various combinations of diffraction and Morison forces and moments. The results which include the Morison equation are better than the results for diffraction only. This is because the vertically axisymmetric buoyant members are only marginally large enough to consider diffractions effects. The prototype TLP results are expected to be more inertially dominated.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.5 no.3
• /
• pp.95-105
• /
• 1985

This dissertation presents an exact solution for the normal and shearing stresses of an orthotropic plane body loaded by a moment load. The solution satisfies the conditions of equilibrium compatibility equations concurrently and is governing for the body being in the elasto-plastic state. An Airy stress function is introduced to solve the problem related to an orthotropic half-infinite plane under a moment load. All the equations for orthotropy must be degenerated into the expressions for isotropy when orthotropic constants are replaced by isotropic ones. The author has evaluated all the equations of orthotropy and succeeded in obtaining exactly identical expressions to the equations of isotropy which were derived independently by of L'hosptials rule. The analytical results of isotropy are compared with the simple results of other investigator. Since moment Load under the elastic state and plastic state only is a particular case of moment load under the elasto-plastic state. All the equations of elasto-plastic state case are degenerated into the expressions for the each case. The formal solution is expressed in terms of closed form. The orthotropic constants are evaluated for two kinds and two different orientations of the grain of wood and two kinds of structures. The numerical results for orthotropy are evaluated for one kind and two different orientations of three-layered ply wood. The distribution of normal and shearing stresses are shown in figures. It is noted that the distribution of stresses of orthotropic materials depends on the type of materials and orientations of the grain and stiffening.

• Journal of Radiation Protection and Research
• /
• v.33 no.1
• /
• pp.13-20
• /
• 2008

The flow rate measurements in a multi-phase flow pipeline were evaluated quantitatively by means of a clamp-on sealed radioisotope based on a cross correlation signal processing technique. The flow rates were calculated by a determination of the transit time between two sealed gamma sources by using a cross correlation function following FFT filtering, then corrected with vapor fraction in the pipeline which was measured by the ${\gamma}$-ray attenuation method. The pipeline model was manufactured by acrylic resin(ID. 8 cm, L=3.5 m, t=10 mm), and the multi-phase flow patterns were realized by an injection of compressed $N_2$ gas. Two sealed gamma sources of $^{137}Cs$ (E=0.662 MeV, ${\Gamma}$ $factor=0.326\;R{\cdot}h^{-1}{\cdot}m^2{\cdot}Ci^{-1}$) of 20 mCi and 17 mCi, and radiation detectors of $2"{\times}2"$ NaI(Tl) scintillation counter (Eberline, SP-3) were used for this study. Under the given conditions(the distance between two sources: 4D(D; inner diameter), N/S ratio: $0.12{\sim}0.15$, sampling time ${\Delta}t$: 4msec), the measured flow rates showed the maximum. relative error of 1.7 % when compared to the real ones through the vapor content corrections($6.1\;%{\sim}9.2\;%$). From a subsequent experiment, it was proven that the closer the distance between the two sealed sources is, the more precise the measured flow rates are. Provided additional studies related to the selection of radioisotopes their activity, and an optimization of the experimental geometry are carried out, it is anticipated that a radioisotope application for flow rate measurements can be used as an important tool for monitoring multi-phase facilities belonging to petrochemical and refinery industries and contributes economically in the light of maintenance and control of them.

• Journal of Intelligence and Information Systems
• /
• v.17 no.3
• /
• pp.25-41
• /
• 2011

Recently, support vector machines (SVMs) are being recognized as competitive tools as compared with other data mining techniques for solving pattern recognition or classification decision problems. Furthermore, many researches, in particular, have proved them more powerful than traditional artificial neural networks (ANNs) (Amendolia et al., 2003; Huang et al., 2004, Huang et al., 2005; Tay and Cao, 2001; Min and Lee, 2005; Shin et al., 2005; Kim, 2003).The classification decision, such as a binary or multi-class decision problem, used by any classifier, i.e. data mining techniques is so cost-sensitive particularly in financial classification problems such as the credit ratings that if the credit ratings are misclassified, a terrible economic loss for investors or financial decision makers may happen. Therefore, it is necessary to convert the outputs of the classifier into wellcalibrated posterior probabilities-based multiclass credit ratings according to the bankruptcy probabilities. However, SVMs basically do not provide such probabilities. So it required to use any method to create the probabilities (Platt, 1999; Drish, 2001). This paper applied AdaBoost algorithm-based support vector machines (SVMs) into a bankruptcy prediction as a binary classification problem for the IT companies in Korea and then performed the multi-class credit ratings of the companies by making a normal distribution shape of posterior bankruptcy probabilities from the loss functions extracted from the SVMs. Our proposed approach also showed that their methods can minimize the misclassification problems by adjusting the credit grade interval ranges on condition that each credit grade for credit loan borrowers has its own credit risk, i.e. bankruptcy probability.

• Journal of Global Scholars of Marketing Science
• /
• v.2
• /
• pp.17-37
• /
• 1998

중소기업간 협력 활동은 사업의 전체 혹은 일정 부분에 대하여 분업이나 협업의 관계를 맺는 공동사업의 형태로 나타난다. 기업간 연결의 강도에 따라 기업들간에 형성되는 분업과 협업의 관계를 시장형, 중간조직형, 위계조직형으로 구분할 때, 중소기업간 공동사업은 중간조직형에 속하는 일종의 기업간 네트워크라고 볼 수 있다. 물론 네트워크형의 협력관계를 추진하는 방식도 업무제휴, 지분제휴, 합작투자, 컨소시엄 등으로 다양하다. 그러나 완전한 자본적 통합에 따른 위계적 조직과는 달리 참여기업들이 독립성을 유지하면서, 네트워크 밖의 기업에 대해 경쟁우위를 확보하기 위해 형성한다는 공통점을 가지고 있다. 기업간 협력관계를 통해 참여 기업들이 얻을 수 있는 혜택에 관한 기존연구들은 크게 두 가지로 나누어 볼 수 있다. 하나는 기업의 생산함수를 중심으로 그 이점을 파악하는 것이고 다른 하나는 관계의 종류에 따라 기업간 거래관계를 관리하는 소위 거래비용의 효율성을 중심으로 혜택을 파악하는 접근방법이다. 전자의 접근방법을 따를 때, 기업간 협력의 근본 유인은 규모의 경제(혹은 비경제), 범위의 경제, 집적의 경제, 구도의 경제 등이 협력관계에서 발생하는 혜택의 근본 원천이다. 기술과 제도의 발전, 시장과 경쟁환경의 변화에 따른 기업간 협력의 필요성은 갈수록 증대되고 있다. 소비자들의 요구는 매우 개성화 다양화되고 종합화되는 추세이다. 더불어 기술개발의 비용이 큰 폭으로 증가하고 있으며, 경쟁의 격화로 기술 및 제품의 진부화도 급속도로 이루어지고 있다. 세계화 상품고도화 서비스산업화 정보화 등으로 특징지워지는 새로운 경쟁환경 아래에서 장기적으로 기업의 경쟁력을 향상시키기 위해서는 시장중심적인 관점에서 형성된 기업간 전략적 연계를 바탕으로, 정보의 집적을 통해 다양한 생산성 향상 혹은 관계효율성 향상의 경제를 추구하는 것이 필연적 전제 조건이 되었다. 기업간 경쟁보다는 최종제품의 생산과 판매를 위해 형성된 기업네트워크간의 경쟁이 중시되는 시대인 것이다. 동서간(東西間) 중소기업(中小企業)의 협력(協力)을 새삼스럽게 논의하는 것은 다분히 정치적이라는 느낌을 준다. 경제적인 관점에서 실익이 있음에도 불구하고 동서간 중소기업의 협력이 이루어지지 못하고 있다면, 그 이유는 기업정보의 수집과 유통상의 문제이거나 문화나 기업관행에 대한 잘못된 선입관에서 비롯된 관계 관리비용 계산상의 문제일 것이다. 현실적으로 이 가능성은 매우 낮다. 산업의 발전 정도나 연관성에 있어서 동서축보다는 남북축을 따라 기업간 협력이 이루어질 수 밖에 없는 우리나라의 현재 상황이 동서간보다는 남북간 경제교류를 유도하고 있는 것이다. 동서간 중서기업 협력체제의 구축에 대한 논의가 본질적으로 정치적 관심에서 비롯되었다는 전제 하에, 구축의 방안을 논의하고자 한다. 경제적으로도 타당하면서 정치적으로 관심을 유발할 수 있는 협력체제 구축방안으로, 기업간 네트워크의 조직 주체로서 최근에 논의되고 있는 새로운 형태의 마케팅회사를 동서간에 공동으로 설립할 것을 제안한다. 영구 지속적 공동사업관계보다는 프로젝트별 공동사업을 전제로 기업들 사이의 효과적인 네트워크를 형성함으로써 일종의 가상적 기업을 결성할 필요가 있다. 이러한 기업간 네트워크 형성의 실행주체가 될 수 있는 새로운 마케팅 전문기업의 형태로는 공동회사(空洞會社)(hollow company), 종합상사(綜合商社)(General Trading Company), 거래형 마케팅회사(Marketing Exchange Company), 변환형 마케팅회사(Marketing Coalition Company) 등을 들 수 있다. 양 지역에서는 소비자환경과 기술환경의 특성 및 양 지역의 경제에 대한 파급효과를 고려하여 가장 적합한 마케팅회사의 유형은 선택하여 육성하고, 이를 중심으로 강력한 양 지역 및 다른 지역에 입지한 기업간의 네트워크를 구축하여야 한다. 마케팅회사를 설립하고 완전한 마케팅 서비스를 제공할 수 있도록 육성하기 위해서는 많은 투자가 필요하다. 마케팅회사의 핵심기능 분야인 금융부문, 정보부문, 영업조직 등은 모두 막대한 투자를 필요로하는 기능영역이다. 정보부문은 기술의 발전과 범세계적인 정보관련기관과의 제휴를 통해 독자적인 구축이 어느 정도 가능하나, 영업조직의 구축을 위해서는 기존업체와의 연대가 필수적인 것으로 판단된다. 지속적으로 효과적인 기업간 네트워크를 형성하고 유지하기 위해서는 또한 기업간 관계를 관리하는 방식과 제도 및 수단에 대한 연구가 필요하다. 양 지역 산 학 관의 공동노력을 통해서 새로운 경제 환경에 가장 적합한 기업 형태로 제시된 바 있는 마케팅 전문회사 중심의 기업간 네트워크를 성공적으로 구축한다면, 양 지역 및 국가 경제의 지속적인 동력원이 될 수 있을 것이다

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.5 no.3
• /
• pp.49-59
• /
• 1985

Formulation of the geometric optimization for truss structures based on the elasticity theory turn out to be the nonlinear programming problem which has to deal with the Cross sectional area of the member and the coordinates of its nodes simultaneously. A few techniques have been proposed and adopted for the analysis of this nonlinear programming problem for the time being. These techniques, however, bear some limitations on truss shapes loading conditions and design criteria for the practical application to real structures. A generalized algorithm for the geometric optimization of the truss structures which can eliminate the above mentioned limitations, is developed in this study. The algorithm developed utilizes the two-phases technique. In the first phase, the cross sectional area of the truss member is optimized by transforming the nonlinear problem into SUMT, and solving SUMT utilizing the modified Newton-Raphson method. In the second phase, the geometric shape is optimized utilizing the unidirctional search technique of the Rosenbrock method which make it possible to minimize only the objective function. The algorithm developed in this study is numerically tested for several truss structures with various shapes, loading conditions and design criteria, and compared with the results of the other algorithms to examme its applicability and stability. The numerical comparisons show that the two-phases algorithm developed in this study is safely applicable to any design criteria, and the convergency rate is very fast and stable compared with other iteration methods for the geometric optimization of truss structures.

• Korean Journal of Food Science and Technology
• /
• v.32 no.3
• /
• pp.590-597
• /
• 2000

The rheological properties of ${\beta}-glucans$ isolated from non-waxy and waxy barley were investigated. ${\beta}-Glucan$ solutions showed pseudoplastic properties and their behaviors were explained by applying Power law model in the range of concentrations$(1{\sim}4%)$ and temperatures$(20{\sim}65^{\circ}C)$. The effects of temperature and concentration on the apparent viscosity at $700\;s^{-1}$ shear rate were examined by applying Arrhenius equation and power law equation, and their effect was more pronounced in waxy ${\beta}-glucan$ solutions. The activation energy for flow of ${\beta}-glucan$ solutions decreased with the increase of concentration, and the concentration-dependent constant A increased with the increase of temperature. The intrinsic viscosity of waxy ${\beta}-glucan$ was higher than that of non-waxy ${\beta}-glucan$. The transition from dilute to concentrate region occurred at a critical coil overlap parameter $C^*[{\eta}]=0.02.$ The slopes of non-waxy and waxy ${\beta}-glucan$ at $C[{\eta}] were similar, but the slope of waxy ${\beta}-glucan$ at $C[{\eta}]>C^*[{\eta}]$ was higher than that of non-waxy ${\beta}-glucan$. Dynamic viscoelasticity measurement showed that cross-over happened, and storage modulus was higher than loss modulus at frequency range above cross-over. ${\beta}-Glucan$ solutions formed weak gels after stored for 24 hr.

• Tuberculosis and Respiratory Diseases
• /
• v.48 no.6
• /
• pp.909-921
• /
• 2000

Background : Defects in apoptotic signaling pathways play important role in tumor initiation, progression, metastasis and resistance to treatment. Several proteins which may promote tumorigenesis by inhibiting apoptosis were identified. The survivin protein is the member of inhibitor of apoptosis protein(IAPs) family which inhibits apoptosis. Unlike other IAPs, it is expressed in during the fetal period but not in adult differentiated tissues. Many reports have stated that survivin is selectively expressed in many cancer cell lines and cancer tissues. We performed immunohistochemical analysis for survivin expression in non-mall cell lung cancer to get evaluate its clinical implication. Methods : Twenty nine surgically resected lung cancers were examined. Immunohistochemical staining were performed by immuno-peroxidase technique using avidin-biotinylated horseradish pemxidase complex in the formalin-fixed, paraffin-embedded tissue $4{\mu}m$ section. Anti-survivin polyclonal antibody was used for primary antibody and anti-p53 monoclonal antibody was also used to analyze the correlation between survivin and p53 expression. The survivin expression scores were determined by as the sum of the stained area and intensity. Results : Immunohistochemical analysis showed cancer specific expression of survivin in 20 of 29 cases (69.0%). Western blot analysis also showed the selective survivin expression in tumor tissue. There was no correlation between survivin expression and clinicopathological parameters and prognosis. We analyzed the ∞π'elation between survivin expression and p53 expression, but found none. Conclusion: We confirmed the tumor specific expression of survival in non-small cell lung canær. But this expression was not correlated with clinical parameters as well as histology, tumor stage, recurrence, and survival rate. Also it was not statistically correlated with the expression of p53.

• Korean Journal of Remote Sensing
• /
• v.21 no.6
• /
• pp.445-456
• /
• 2005

The land surface parameters should be determined with sufficient accuracy, because these play an important role in climate change near the ground. As the surface reflectance presents strong anisotropy, off-nadir viewing results a strong dependency of observations on the Sun - target - sensor geometry. They contribute to the random noise which is produced by surface angular effects. The principal objective of the study is to provide a database of accurate surface reflectance eliminated the angular effects from MODIS 250m reflective channel data over Korea. The MODIS (Moderate Resolution Imaging Spectroradiometer) sensor has provided visible and near infrared channel reflectance at 250m resolution on a daily basis. The successive analytic processing steps were firstly performed on a per-pixel basis to remove cloudy pixels. And for the geometric distortion, the correction process were performed by the nearest neighbor resampling using 2nd-order polynomial obtained from the geolocation information of MODIS Data set. In order to correct the surface anisotropy effects, this paper attempted the semiempirical kernel-driven Bi- directional Reflectance Distribution Function(BRDF) model. The algorithm yields an inversion of the kernel-driven model to the angular components, such as viewing zenith angle, solar zenith angle, viewing azimuth angle, solar azimuth angle from reflectance observed by satellite. First we consider sets of the model observations comprised with a 31-day period to perform the BRDF model. In the next step, Nadir view reflectance normalization is carried out through the modification of the angular components, separated by BRDF model for each spectral band and each pixel. Modeled reflectance values show a good agreement with measured reflectance values and their RMSE(Root Mean Square Error) was totally about 0.01(maximum=0.03). Finally, we provide a normalized surface reflectance database consisted of 36 images for 2001 over Korea.

• Journal of IKEEE
• /
• v.25 no.3
• /
• pp.493-500
• /
• 2021

In this paper, we propose the development of deep learning structure to improve quality of polygonal containers. The deep learning structure consists of a convolution layer, a bottleneck layer, a fully connect layer, and a softmax layer. The convolution layer is a layer that obtains a feature image by performing a convolution 3x3 operation on the input image or the feature image of the previous layer with several feature filters. The bottleneck layer selects only the optimal features among the features on the feature image extracted through the convolution layer, reduces the channel to a convolution 1x1 ReLU, and performs a convolution 3x3 ReLU. The global average pooling operation performed after going through the bottleneck layer reduces the size of the feature image by selecting only the optimal features among the features of the feature image extracted through the convolution layer. The fully connect layer outputs the output data through 6 fully connect layers. The softmax layer multiplies and multiplies the value between the value of the input layer node and the target node to be calculated, and converts it into a value between 0 and 1 through an activation function. After the learning is completed, the recognition process classifies non-circular glass bottles by performing image acquisition using a camera, measuring position detection, and non-circular glass bottle classification using deep learning as in the learning process. In order to evaluate the performance of the deep learning structure to improve quality of polygonal containers, as a result of an experiment at an authorized testing institute, it was calculated to be at the same level as the world's highest level with 99% good/defective discrimination accuracy. Inspection time averaged 1.7 seconds, which was calculated within the operating time standards of production processes using non-circular machine vision systems. Therefore, the effectiveness of the performance of the deep learning structure to improve quality of polygonal containers proposed in this paper was proven.