• 방사성폐기물학회지
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• 제4권3호
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• pp.227-234
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• 2006

저방사성폐수지, 제올라이트, 가연성잡고체 혼합폐기물을 유리화하기 위해서 AG8W1 후보 유리와 가연성잡고체 단독으로 유리화하기 위하여 DG-2 후보유리가 개발되었다. 두 후보유리의 화학적 내구성을 평가하기 위하여 PCT와 VHT 침출시험이 수행되었다. 7일 PCT 침출시험 수행결과 AG8W1과 DG-2의 주요 원소별 침출률은 기준유리(benchmark glass SRL-EA) 보다 낮게 나타남을 알 수 있었고 미국 Hanford 유리고화체 규제치 $2g/m^2$ 보다 낮은 결과를 나타냄을 알 수 있었다. 또한, 120일 동안의 시험에서도 주요 원소인 B, Na, Si, Li가 SRL-EA 보다 낮게 나타남을 볼 수 있었다. VHT 침출시험 수행결과 AG8W1, DG-2의 침출률(leach rate)은 각각 $2g/m^2/day$, $10g/m^2/day$ 로써 미국 Hanford 규제치 $ 50g/m^2/day$ 보다 낮은 결과를 나타냈다. 결과적으로 유리화 시설 상용운전 시 사용예정인 이들 후보유리들의 침출은 안정화되어 있었으며 화학적 내구성이 우수함을 알 수 있었다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2002년도 가을 학술발표논문집 Vol.29 No.2 (1)
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• pp.682-684
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• 2002

최근 여러 논문에서 실 데이터 종속을 제거하기 위하여 결과 값 예상 기법을 제안하였다. 결과 값 예상 기법 중 혼합형 결과 값 예측기는 다양한 패턴을 갖는 명령어를 모두 예측함으로써 높은 예상 정확도를 얻을 수 있지만 하나의 명령어가 여러 개의 예측기 테이블에 중복 저장되어 높은 하드웨어 비용을 요구한다는 단점이 있다. 본 논문에서는 이러한 단점을 극복하기 위하여 프로파일링으로 얻어진 정적 분류 정보를 사용하여, 명령어률 예상 정확도가 높은 예측기에만 할당하여 예상 테이블 크기를 감소 시켰다. 또한 동적으로 적절한 예측기를 선택하도록 함으로써 예상 정확도를 더욱 향상 시켰다. 본 논문에서는 SPECint95 벤치마크 프로그램에 대해 SimpleScalar/PISA 3.0 툴셋을 사용하여 실험하였다. 정적-동적 분류 정보를 모두 사용하였을 경우 87.9%, VHT 크기를 4K로 축소한 경우 87.5%로 비슷한 예상정확도를 얻으면서 예상 테이블의 크기는 50%로 감소하였다. 또한 실행 패턴의 유형 비율에 따라 각 예측기의 VHT를 구성한 경우 예상 테이블 크기를 25%로 줄일 수 있었다.

• 열처리공학회지
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• 제17권1호
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• pp.17-22
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• 2004

In the present study, newly developed spark plasma sintering(SPS) technique was introduced to refine the grain size of ${\gamma}$-based TiAl intermetallic compounds. Ti-46Al-1.5Mo and Ti-46Al-1.5Mo-0.2C(at%) prealloyed powders were produced by mechanical milling(MM) in high-energy attritor. The mechanically milled powders were characterized by XRD and SEM for the microstructural evolution as a function of milling time. And then, the MMed powders were sintered by both spark plasma sintering and hot pressing in vacuum (HP). After the sintering process, MM-SPSed specimens were heat-treated in a vacuum furnace (SPS-VHT) and in the SPS equipment(MM-SPS) for microstructural control. It was found from microstrutural observation that the microstructure consisting of equiaxed ${\gamma}$-TiAl with a few hundred nanometer in average size and ${\alpha}_2-Ti_3Al$ particles were formed after both sintering processes. It was also revealed from hardness test and three-point bending test that the effect of grain refinement on the hardness and bending strength is much higher than that of carbon addition. The fully lamellar microstructures, which is less than $80{\mu}m$ in average grain size was obtained by SPS-VHT process, and the fully lamellar microstructure which is less than $100{\mu}m$ in average grain size was obtained by MM-SPS for a relatively shorter heat-treatment time.

• 디지털산업정보학회논문지
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• 제16권2호
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• pp.45-52
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• 2020

This paper is focused on the modulation scheme detection of the IEEE 802.11 standard. In the IEEE 802.11ac standard, the information of the modulation scheme is indicated by the modulation coding scheme (MCS) included in the VHT-SIG-A of the preamble field. Transmitting end determines the MCS index suitable for the low signal to noise ratio (SNR) situation and transmits the data accordingly. Since data field decoding can take place only when the receiving end acquires the MCS index information of the frame. Therefore, accurate MCS detection must be guaranteed before data field decoding. However, since the MCS index information is the information obtained through preamble field decoding, the detection rate can be affected significantly in a low SNR situation. In this paper, we propose a relatively robust modulation classification method based on deep learning to solve the low detection rate problem with a conventional method caused by a low SNR.

• 한국통신학회논문지
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• 제18권11호
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• pp.1767-1773
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• 1993

본 논문에서는 probe로 급전되는 적층형 마이로스트립 2소자 배열 안테나의 임피던스 및 결합특성을 제시하였다. 안테나 구조의 해석에는 벡터 한켈 변환을 이용한 스팩트럴 영역법을 적용하였다. 또한 이 안테나의 임피던스 및 결합특성, 그리고 두 소자 안테나간의 거리에 따른 결합특성 변화등을 측정하여 그 결과를 제시한다. 끝으로, 해석을 통해 계산된 결과와 측정된 결과를 비교하여 두 결과가 잘 일치함을 보였다.

• The Korean Journal of Physiology and Pharmacology
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• 제14권6호
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• pp.419-425
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• 2010

Mast cells are activated by specific allergens and also by various nonspecific stimuli, which might induce physical urticaria. This study investigated the functional expression of temperature sensitive transient receptor potential vanilloid (TRPV) subfamily in the human mast cell line (HMC-1) using whole-cell patch clamp techniques. The temperature of perfusate was raised from room temperature (RT, $23{\sim}25^{\circ}C$) to a moderately high temperature (MHT, $37{\sim}39^{\circ}C$) to activate TRPV3/4, a high temperature (HT, $44{\sim}46^{\circ}C$) to activate TRPV1, or a very high temperature (VHT, $53{\sim}55^{\circ}C$) to activate TRPV2. The membrane conductance of HMC-1 was increased by MHT and HT in about 50% (21 of 40) of the tested cells, and the I/V curves showed weak outward rectification. VHT-induced current was 10-fold larger than those induced by MHT and HT. The application of the TRPV 4 activator $3{\alpha}$-phorbol 12,13-didecanoate ($4{\alpha}$ PDD, $1\;{\mu}M$) induced weakly outward rectifying currents similar to those induced by MHT. However, the TRPV3 agonist camphor or TRPV1 agonist capsaicin had no effect. RT-PCR analysis of HMC-1 demonstrated the expression of TRPV4 as well as potent expression of TRPV2. The $[Ca^{2+}]_c$ of HMC-1 cells was also increased by MHT or by $4{\alpha}$ PDD. In summary, our present study indicates that HMC-1 cells express $Ca^{2+}$-permeable TRPV4 channels in addition to the previously reported expression of TRPV2 with a higher threshold of activating temperature.

• International Journal of Precision Engineering and Manufacturing
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• 제4권2호
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• pp.71-76
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• 2003

A virtual machine tool (VMT) is presented in this two-part paper. In Part 1, the analytical foundation for a virtual machining system is developed, which is envisioned as the foundation for a comprehensive simulation environment capable of predicting the outcome of cutting processes. The VHT system undergoes "pseudo-real machining", before actual cutting with a CNC machine tool takes place, to provide the proper cutting conditions for process planners and to compensate or control the machining process in terms of the productivity and attributes of the products. The attributes can be characterized by the machined surface error, dimensional accuracy, roughness, integrity, and so forth. The main components of the VMT are the cutting process, application, thermal behavior, and feed drive modules. In Part 1, the cutting process module is presented. When verified experimentally, the proposed models gave significantly better prediction results than any other methods. In Part 2 of this paper, the thermal behavior and feed drive modules are developed, and the models are integrated into a comprehensive software environment.vironment.