• Journal of Information Processing Systems
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• 제14권5호
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• pp.1167-1175
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• 2018

Microarray data plays an essential role in diagnosing and detecting cancer. Microarray analysis allows the examination of levels of gene expression in specific cell samples, where thousands of genes can be analyzed simultaneously. However, microarray data have very little sample data and high data dimensionality. Therefore, to classify microarray data, a dimensional reduction process is required. Dimensional reduction can eliminate redundancy of data; thus, features used in classification are features that only have a high correlation with their class. There are two types of dimensional reduction, namely feature selection and feature extraction. In this paper, we used k-means algorithm as the clustering approach for feature selection. The proposed approach can be used to categorize features that have the same characteristics in one cluster, so that redundancy in microarray data is removed. The result of clustering is ranked using the Relief algorithm such that the best scoring element for each cluster is obtained. All best elements of each cluster are selected and used as features in the classification process. Next, the Random Forest algorithm is used. Based on the simulation, the accuracy of the proposed approach for each dataset, namely Colon, Lung Cancer, and Prostate Tumor, achieved 85.87%, 98.9%, and 89% accuracy, respectively. The accuracy of the proposed approach is therefore higher than the approach using Random Forest without clustering.

• 한국항공우주학회지
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• 제35권8호
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• pp.741-746
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• 2007

본 논문에서는 공대지 무장의 무장투하정확도에 대한 해석기법을 제시하였다. 항공기의 전투효과도(Combat Effectiveness)를 평가하는데 있어 중요한 요인인 공격능력(Lethality)은 공대지 무장투하정확도 개선능력에 좌우된다. 항공기 초기 설계단계부터 최종 검증단계 까지 무장투하정확도에 영향을 미치는 요소들을 기술하였으며 각 요소들을 무장투하정확도에 반영하는 기법과 정량적으로 평가하는 방안을 제시하였다. 무장투하정확도 분석은 Bias error를 영으로 가정하고 Random error에 의한 투하오차만을 분석 대상으로 하였다.

• Transactions on Electrical and Electronic Materials
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• 제15권4호
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• pp.175-181
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• 2014

In this paper, the simulation and modeling of a polyethylene/clay nanocomposite were undertaken to predict the nanocomposite's dielectric behavior and to help design a nanocomposite material with optimum electrical properties for electrotechnical or electronic applications. A 3-D simulation model using the finite elements method was employed in order to study the effective permittivity and electric field distribution of two-phase nanocomposite materials for ordered and random distributions of inclusions in a low-loss host matrix such as polyethylene. The influence of the dispersion of reinforcing particles, and of the permittivity and radius of the inclusions, was analysed. The simulation results were compared with alternative, known theoretical solutions obtained from classical models, and were found to be in good agreement. The numerical results also indicate that for fixed volume fractions of nanoparticles the effective permittivity of the mixture, for ordered and random distributions, does not vary with the degree of dispersion. The variation of the effective permittivity with the particle radius is shown, using numerical data, to agree with the analytical modules.

• Structural Engineering and Mechanics
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• 제28권3호
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• pp.281-294
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• 2008

In this paper, linear elastic isotropic structures under the effects of both stochastic operators and stochastic excitations are studied. The analysis utilizes the spectral stochastic finite elements (SSFEM) with its two main expansions namely; Neumann and Homogeneous Chaos expansions. The random excitation and the random operator fields are assumed to be second order stochastic processes. The formulations are obtained for the system solution of the two dimensional problems of plane strain and plate bending structures under stochastic loading and relevant rigidity using the previously mentioned expansions. Two finite element programs were developed to incorporate such formulations. Two illustrative examples are introduced: the first is a reinforced concrete culvert with stochastic rigidity subjected to a stochastic load where the culvert is modeled as plane strain problem. The second example is a simply supported square reinforced concrete slab subjected to out of plane loading in which the slab flexural rigidity and the applied load are considered stochastic. In each of the two examples, the first two statistical moments of displacement are evaluated using both expansions. The probability density function of the structure response of each problem is obtained using Homogeneous Chaos expansion.

• Steel and Composite Structures
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• 제42권2호
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• pp.209-219
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• 2022

Offshore platforms in seismically active areas must be designed to survive in the face of intense earthquakes without a global structural collapse. This paper scrutinizes the seismic performance of a newly designed and established jacket type offshore platform situated in the entrance of the Gulf of Suez region based on the API-RP2A normalized response spectra during seismic events. A nonlinear finite element model of a typical jacket type offshore platform is constructed taking into consideration the effect of structure-soil-interaction. Soil properties at the site were manipulated to generate the pile lateral soil properties in the form of load deflection curves, based on API-RP2A recommendations. Dynamic characteristics of the offshore platform, the response function, output power spectral density and transfer functions for different elements of the platform are discussed. The joints deflection and acceleration responses demands are presented. It is generally concluded that consideration of the interaction between structure, piles and soil leads to higher deflections and less stresses in platform elements due to soil elasticity, nonlinearity, and damping and leads to a more realistic platform design. The earthquake-based analysis for offshore platform structure is essential for the safe design and operation of offshore platforms.

• Communications for Statistical Applications and Methods
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• 제23권1호
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• pp.47-55
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• 2016

Stratified cluster sampling has been widely used for effective parameter estimations due to reductions in time and cost. The probability proportional to size (PPS) sampling method is used when the number of cluster element are significantly different. However, simple random sampling (SRS) is commonly used for simplicity if the number of cluster elements are almost the same. Also it is known that the ratio estimator produces a good performance when the total number of population elements is known. However, the two stage cluster estimator should be used if the total number of elements in population is neither known nor accurate. In this study we suggest a composite estimator by combining the ratio estimator and the two stage cluster estimator to obtain a better estimate under a certain population circumstance. Simulation studies are conducted to compare the superiority of the suggested estimator with two other estimators.

• Bulletin of the Korean Chemical Society
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• 제29권7호
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• pp.1391-1394
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• 2008

Polymer materials are very difficult to decompose for the purpose of chemical analysis. Nondestructive analysis without pretreatment provides a suitable solution that will overcome this obstacle. In this study, CRM candidate samples that contained toxic elements such as As, Cd, Cr and Zn in a polypropylene (PP) were analyzed using instrumental neutron activation analysis (INAA). The analytical results were obtained from ten samples selected by random sampling at two different concentration levels (low and high). Particular attention was paid to reducing analytical errors and evaluating the associated uncertainty.

• 대한건축학회논문집:계획계
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• 제35권8호
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• pp.35-46
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• 2019

This study started from the interest about a theme repeated in a similar way among a group of architects in Japan. They argue that a building composed of random elements can lead to discoverable functions rather than fixed functions. Their work supports this to a certain extent, but at the same time raises the following two research questions. Can 'formal randomness' and 'functional discoverability' be completely identical? Does such a form sufficiently fulfill other functions of the building? In order to answer these two research questions, this study analyzes the relationship between form and function in the 'Children's Center for Psychiatric Rehabilitation' of Sou Fujimoto. The analysis proceeded in three steps. In the first step, I found that alcoves were the most important factor in functional discoverability by comparing scenarios with different conditions. At the same time, however, I could see that these alcoves were weakened in the process of functional adjustment. In the second step, I analyzed the final design and found Sou Fujimoto's response to the preceding problem. He thought that in-between alcoves created from formal randomness, were not enough and thus introduced a new method, cutting alcoves. This means that formal randomness alone does not fully guarantee both the functional discoverability and the fulfillment of the basic functions. In the third step, I searched for the significance of this problem through a brief comparison with other similar projects.

• Computers and Concrete
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• 제3권1호
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• pp.1-15
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• 2006

The seismic safety of reinforced concrete containment building can be evaluated by probabilistic analysis considering randomness of earthquake, which is more rational than deterministic analysis. In the safety assessment of earthquake-resistant structures by the deterministic theory, it is not easy to consider the effects of random variables but the reliability theory and random vibration theory are useful to assess the seismic safety with considering random effects. The reliability assessment of reinforced concrete containment building subjected to earthquake load includes the structural analysis considering random variables such as load, resistance and analysis method, the definition of limit states and the reliability analysis. The reliability analysis procedure requires much time and labor and also needs to get the high confidence in results. In this study, random vibration analysis of containment building is performed with random variables as earthquake load, concrete compressive strength, modal damping ratio. The seismic responses of critical elements of structure are approximated at the most probable failure point by the response surface method. The response surface method helps to figure out the quantitative characteristics of structural response variability. And the limit state is defined as the failure surface of concrete under multi-axial stress, finally the limit state probability of failure can be obtained simply by first-order second moment method. The reliability analysis for the multiaxial strength limit state and the uniaxial strength limit state is performed and the results are compared with each other. This study concludes that the multiaxial failure criterion is a likely limit state to predict concrete failure strength under combined state of stresses and the reliability analysis results are compatible with the fact that the maximum compressive strength of concrete under biaxial compression state increases.

• 정보보호학회논문지
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• 제34권3호
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• pp.365-378
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• 2024

모바일 기기나 임베디드 기기 등의 운영체제는 대부분 리눅스 커널을 기반으로 동작한다. 이러한 운영체제는 암호키와 보안 기능 등 시스템 운영에 필요한 난수를 리눅스 커널에 요청한다. 안정적으로 난수를 제공하기 위해, 리눅스 커널은 내부에 전용 의사난수발생기를 탑재하고 있다. 최근에 이 의사난수발생기에 대대적인 구조 변화가 이루어졌다. 그러나 대대적인 변화에도 불구하고 새로운 리눅스 의사난수발생기의 구조에 관한 안전성 분석 결과가 발표되고 있지 않다. 본 논문은 새로운 리눅스 의사난수발생기의 안전성을 분석하기 위한 사전 연구로서 이러한 구조 변경을 살펴본다. 추가로 변경 전과 변경 후의 차이점을 암호학적 관점과 성능 관점으로 구분하여 비교하고 안전성 분석이 필요한 요소를 식별한다. 이 결과는 새로운 리눅스 의사난수발생기 구조에 관한 이해를 제공하여 안전성 분석의 토대로 활용될 수 있다.