• Radiation Oncology Journal
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• 제9권2호
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• pp.171-176
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• 1991

8 MHz 고주파 유전형 가열장치로 모형을 가열할 때에 전극의 크기와 모형의 두께에 따른 온도 분포를 알아보기 위하여 다양한 크기의 전극과 다양한 두께의 모형을 조합하여 실험하였다. 전극은 10, 15, 20, 25, 그리고 30 cm 크기를 사용하였고 모형은 10, 15, 20, 25, 그리고 30 cm 두께를 사용하였다. 모형의 두께가 25 cm 이상일 경우에는 전극의 크기가 모형의 두께보다 크거나 혹은 같을때에 중심부에 균일한 온도 분포를 얻을 수 있었으나, 모형의 두께가 20 cm 이하일 경우에는 전극의 크기가 모형의 두께와 같을 때는 균일한 온도 분포를 얻을 수 없었고 전극의 크기가 모형의 두께보다 클 때만 균일한 온도 분포를 얻을 수 있었다. 크기가 다른 한쌍의 전극을 사용하여 가열시에는 작은 전극 쪽으로 가열 부분이 집중되었고 그 현상은 전극크기의 차가 클 수록 심하였다.

• Nuclear Engineering and Technology
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• 제47권7호
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• pp.875-883
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• 2015

The use of subcritical aqueous homogenous reactors driven by accelerators presents an attractive alternative for producing $^{99}Mo$. In this method, the medical isotope production system itself is used to extract $^{99}Mo$ or other radioisotopes so that there is no need to irradiate common targets. In addition, it can operate at much lower power compared to a traditional reactor to produce the same amount of $^{99}Mo$ by irradiating targets. In this study, the neutronic performance and $^{99}Mo$, $^{89}Sr$, and $^{131}I$ production capacity of a subcritical aqueous homogenous reactor fueled with low-enriched uranyl nitrate was evaluated using the MCNPX code. A proton accelerator with a maximum 30-MeV accelerating power was used to run the subcritical core. The computational results indicate a good potential for the modeled system to produce the radioisotopes under completely safe conditions because of the high negative reactivity coefficients of the modeled core. The results show that application of an optimized beam window material can increase the fission power of the aqueous nitrate fuel up to 80%. This accelerator-based procedure using low enriched uranium nitrate fuel to produce radioisotopes presents a potentially competitive alternative in comparison with the reactor-based or other accelerator-based methods. This system produces ~1,500 Ci/wk (~325 6-day Ci) of $^{99}Mo$ at the end of a cycle.

• Annals of Surgical Treatment and Research
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• 제95권5호
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• pp.249-257
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• 2018

Purpose: Multidrug resistance-associated protein (MRP) 2 is a glutathione conjugate in the canalicular membrane of hepatocytes. Early graft damage after liver transplantation (LT) can result in alteration of MRP2 expression. The purpose of this study was to evaluate the relationship between the pattern of MRP2 alteration and graft outcome. Methods: Forty-one paraffin-embedded liver graft tissues obtained by protocol biopsy within 2 months after LT; these were stained using monoclonal antibodies of MRP2. We selected 15 live donor biopsy samples as a control, that showed homogenous canalicular staining for MRP2. The pattern of canalicular MRP2 staining of graft was classified into 3 types: homogenous (type C0), focal (type C1), and no (type C2,) staining of the canaliculi. Results: In total, 17.1% graft tissues were type C0, 36.6% were type C1, and 46.3% were type C2. The median operation time was longer in patients with type C2 (562.6 minutes) than in patients with type C0 (393.8 minutes) (P = 0.038). The rates of posttransplant complications were higher in patients with type C2 (100%) than in patients with type C0 (42.9%) and C1 (73.3%) (P < 0.001). Conclusion: MRP2 expression pattern was altered in 82.9% after LT. The pattern of MRP2 alteration was associated with longer operation time and higher rates of post-LT complications.

• 한국의학물리학회지:의학물리
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• 제34권2호
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• pp.15-22
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• 2023

This study compared the dose calculated using the electron Monte Carlo (eMC) dose calculation algorithm employing the old version (eMC V13.7) of the Varian Eclipse treatment-planning system (TPS) and its newer version (eMC V16.1). The eMC V16.1 was configured using the same beam data as the eMC V13.7. Beam data measured using the VitalBeam linear accelerator were implemented. A box-shaped water phantom (30×30×30 cm³) was generated in the TPS. Consequently, the TPS with eMC V13.7 and eMC V16.1 calculated the dose to the water phantom delivered by electron beams of various energies with a field size of 10×10 cm². The calculations were repeated while changing the dose-smoothing levels and normalization method. Subsequently, the percentage depth dose and lateral profile of the dose distributions acquired by eMC V13.7 and eMC V16.1 were analyzed. In addition, the dose-volume histogram (DVH) differences between the two versions for the heterogeneous phantom with bone and lung inserted were compared. The doses calculated using eMC V16.1 were similar to those calculated using eMC V13.7 for the homogenous phantoms. However, a DVH difference was observed in the heterogeneous phantom, particularly in the bone material. The dose distribution calculated using eMC V16.1 was comparable to that of eMC V13.7 in the case of homogenous phantoms. The version changes resulted in a different DVH for the heterogeneous phantoms. However, further investigations to assess the DVH differences in patients and experimental validations for eMC V16.1, particularly for heterogeneous geometry, are required.

• Journal of Yeungnam Medical Science
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• 제12권2호
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• pp.226-236
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• 1995

이 연구의 목적은 기관지낭종의 CT소견을 분석하여 그 특징을 알아보고자 하였다. 수술후 조직학적으로 기관지낭종으로 확진된 11명의 CT소견을 후향적으로 분석하였다. 전 예에서 조영증강 전 후의 CT가 시행되었고 CT상 병변의 위치, 크기, CT 음영과 조영증강 정도, 석회화 유무 등을 중심으로 분석하였다. 총 11례중 3례는 폐실질내에 8례는 종격동내에 위치하였다. 폐실질내 기관지낭종 3례중 2례는 우하엽, 1례는 좌하엽에 위치하였고 평균 크기는 9.7 cm이었다. CT상 1례는 공기로만 찬 낭포, 1례는 균질한 물음영의 낭종, 1례는 공기방울을 가지는 고음영의 낭종으로 보였다. 종격동내 기관지낭종 8례 중 5례는 후종격동, 2례는 상종격동, 1례는 중종격동에 위치하였으며 평균 크기는 5.0 cm이었다. CT상 5례는 균질한 물음영으로 나타났고, 1례는 공기수면상을 보였으며, 2례는 근육과 비슷한 정도의 고음영으로 나타났고 그중 1례는 65 HU를 보였다. 모든 예에서 석회화나 조영증강은 보이지 않았다. 수술소견상 폐실질내 기관지낭종은 3례 모두에서 낭종내에 지저분한 농양의 액체를 가지고 있었고 종격동내 기관지낭종은 8례 모두에서 희거나 노란색의 점액질 액체를 보였다. 기관지낭종은 균일한 물음영을 보이는 경우가 가장 많으며, 그 외 근육과 비슷한 정도의 고음영, 공기수면상, 공기로만 찬 낭포 등으로 보였으며 이와 같은 소견은 기관지낭종의 진단과 감별에 도움이 될 것으로 생각한다.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2007년도 춘계학술대회B
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• pp.2929-2934
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• 2007

Prediction methods for cavitation noise are presented. At first, direct numerical simulation of cavitating flow noise has been performed, and acoustic analogy equation based on the cavitation noise modeling is derived. For the direct numerical simulation, a density based homogenous equilibrium model is employed to simulate cavitating two-phase flow and the governing equations are solved with high-order numerical schemes to resolve cavitation noise. The compressible Navier-Stokes equations for mixture fluids are discretized with a sixth-order central compact scheme, and the steep gradient of flow variables and supersonic regions are treated with the selective spatial filtering technique. The direct simulation of cavitating flow noise is performed for a 2D circular cylinder at cavitation number 0.7 and 1. The far-field noise is also predicted with the derived analogy equation. Noise spectrum predicted with the equation is well compared with the result of direct numerical simulation and also agree well with the theory.

• Transactions on Electrical and Electronic Materials
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• 제13권4호
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• pp.181-184
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• 2012

$BaTiO_3$ based multilayer ceramic capacitors with Ni electrodes can be explained as 2-2 composites with different thermal expansion coefficient and sintering behaviors. To achieve the high capacitance and reliability of MLCCs, a homogenous Ni electrode configuration with high connectivity is required. We controlled the heating rates during sintering to achieve densification by suppressing grain growth. Experimental results revealed that a large heating rate gave high connectivity of Ni electrode, high capacitance, small dissipation factor, high breakdown voltage, and high reliability of MLCC chips.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권8호
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• pp.2675-2690
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• 2014

We study the problem of optimal opportunistic spectrum access with unknown and heterogeneous channel dynamics in cognitive radio networks. There is neither statistic information about the licensed channels nor information exchange among secondary users in the respective systems. We formulate the problem of maximizing network throughput. To achieve the desired optimization, we propose a win-shift lose-stay algorithm based only on rewards. The key point of the algorithm is to make secondary users tend to shift to another channel after receiving rewards from the current channel. The optimality and the convergence of the proposed algorithm are proved. The simulation results show that for both heterogeneous and homogenous systems the proposed win-shift lose-stay algorithm has better performance in terms of throughput and fairness than an existing algorithm.

• Journal of Electrical Engineering and Technology
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• 제10권1호
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• pp.308-313
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• 2015

This paper describes a technique for complete identification of a two-dimensional scattering object and multiple objects immersed in air using microwaves where the scatterers are assumed to be a homogenous dielectric medium. The employed technique consists of initially retrieving the shape and position of the scattering object using a linear sampling method and then determining the electric permittivity and conductivity of the scatterer using adjoint sensitivity analysis. Incident waves are assumed to be TM (Transverse Magnetic) plane waves. This inversion algorithm results in high computational speed and efficiency, and it can be generalized for any scatterer structure. Also, this method is robust with respect to noise. The numerical results clearly show that this hybrid approach provides accurate reconstructions of various objects.

• Journal of information and communication convergence engineering
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• 제9권6호
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• pp.637-640
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• 2011

The hybrid neural networks have characteristics such as fast learning times, generality, and simplicity, and are mainly used to classify learning data and to model non-linear systems. The middle layer of a hybrid neural network clusters the learning vectors by grouping homogenous vectors in the same cluster. In the clustering procedure, the homogeneity between learning vectors is represented as the distance between the vectors. Therefore, if the distances between a learning vector and all vectors in a cluster are smaller than a given constant radius, the learning vector is added to the cluster. However, the usage of a constant radius in clustering is the primary source of errors and therefore decreases the recognition success rate. To improve the recognition success rate, we proposed the enhanced hybrid network that organizes the middle layer effectively by using the enhanced ART1 network adjusting the vigilance parameter dynamically according to the similarity between patterns. The results of experiments on a large number of calling card images showed that the proposed algorithm greatly improves the character extraction and recognition compared with conventional recognition algorithms.