• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.6
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• pp.1-11
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• 2004

Modern processors achieve high performance exploiting avaliable Instruction Level Parallelism(ILP) by using speculative technique such as branch prediction. Traditionally, branch direction can be predicted at very high accuracy by 2-level predictor, and branch target address is predicted by Branch Target Buffer(BTB). Except for indirect branch, each of the branch has the unique target, so its prediction is very accurate via BTB. But because indirect branch has dynamically polymorphic target, indirect branch target prediction is very difficult. In general, the technique of branch direction prediction is applied to indirect branch target prediction, and much better accuracy than traditional BTB is obtained for indirect branch. We present a new indirect branch target prediction scheme which combines a indirect branch instruction with its data dependent register of the instruction executed earlier than the branch. The result of SPEC benchmark simulation which are obtained on SimpleScalar simulator shows that the proposed predictor obtains the most perfect prediction accuracy than any other existing scheme.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.05a
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• pp.433-434
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• 2008

기존의 실험을 통한 전통적인 생물학의 연구와는 달리, 미세 RNA (microRNA)의 연구에 있어 컴퓨터를 통한 프로그램 개발과 정보기술의 이용은 필수 불가결한 요소가 되었다. 컴퓨터를 바탕으로 한 대부분의 연구는 미세 RNA를 발현하는 유전자와 미세 RNA의 타겟 (target)을 예측하는 두가지 분야로 나누어 이루어지고 있다. 본 연구에서는 미세 RNA의 타겟을 예측하는 프로그램 개발시 이용되는 몇 가지 원칙들과 그 원칙들의 문제점을 서술하며, 현재 인터넷상에서 이용 가능한 프로그램들을 소개한다. 또한 컴퓨터를 통해 예측된 미세 RNA 의 타겟을 실험을 통해 검증하는 방법에 대해 논한다.

• Proceedings of the Korean Vacuum Society Conference
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• 1999.07a
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• pp.222-222
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• 1999

플라즈마 이온주입장치는 수십 kV의 음전압 펄스를 타겟에 인가하여 플라즈마 쉬스 전위에 의해 이온을 가속시켜 다차원 형태의 타겟 표면의 내마모성, 강도 및 경도를 쉽고 간단하게 증가시킬 수 있는 신기술 장비이다. 이때 인가되는 음전압 펄스는 펄스회로가 갖는 RC로 인하여 고유한 유한 오름시간의 음전압 펄스가 타겟에 인가되고 펄스 특성에 따라 타겟 주변에 시변환 쉬스가 형성되는데 시변환 쉬스에 대한 정확한 이해를 통해서 시편에 주입되는 이온의 양을 예측할 수 있다. 본 연구에서는 유도 결합형 플라즈마를 이용한 플라즈마 이온주입장치에서 평면 타겟 경우의 펄스 오름시간, 유지시간 및 내림시간 동안에 형성되는 쉬스의 거동 및 타겟의 크기가 쉬스에 미치는 영향을 실험적으로 관찰하고 이론결과와 비교하였다. 기존의 실험에서 펄스 유지시간 이후의 탐침전류 곡선에서 쉬스의 거동처럼 보였던 현상은 ion acoustic wave의 진행으로 보이며 위치에 따른 탐침 전류 곡선의 정확한 해석을 통하여 실제 플라즈마 이온주입장치내에서의 쉬스의 거동을 관찰할 수 있었다.

• Journal of the Korea Institute of Building Construction
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• v.22 no.3
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• pp.317-326
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• 2022

With the development of various technologies in the area of artificial intelligence, a number of studies to application of artificial intelligence technology in the construction field are underway. Diverse technologies have been applied to the task of predicting construction costs, and construction cost prediction technologies applying artificial intelligence technologies have recently been developed. However, it is difficult to secure the vast amount of construction cost data required for machine learning, which has not yet been practically used. In this study, to predict the construction cost, the latest artificial neural network(ANN) method is used to propose a method to improve the construction cost prediction performance. In particular, to improve predictive performance, a log conversion method of target variables and a feature scaling method to eliminate the difference in the relative influence of each column data are applied, and their performance in predicting construction cost is compared and analyzed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.816-818
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• 2014

Gas target chamber has been developed for producing $^{123}I$ which is radiopharmaceuticals for diagnosis of thyroid cancer, and modeled how to occur nuclear reaction between chamber and $^{124}Xe$ with energy 30MeV inside the gas target chamber by using the MCNPX. The beam energy was lost as the beam spread when beam hit inside the gas target chamber. The cooling water was used not to change the gas target chamber as loss of energy transfer to the thermal energy. Spiral cooling line was designed for cooling the target chamber efficiently. By using the c30 cyclotron, $^{124}Xe(p,2n)$, $^{124}Xe(p,n)$, $^{124}Xe(p,pn)$ nuclear reactions were studied. In this study, we predict the production yield.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.7
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• pp.1497-1501
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• 2005

Branch instructions which make the sequential instruction flow changed cause pipeline stalls in microprocessor. The pipeline hazard due to branch instructions are the most serious problem that degrades the performance of microprocessors. Branch target buffer predicts whether a branch will be taken or not and supplies the address of the next instruction on the basis of that prediction. If the hanch target buffer predicts correctly, the instruction flow will not be stalled. This leads to the better performance of microprocessor. In this paper, the architecture of a ta8 memory that branch target buffer and TLB can share is presented. Because the two tag memories used for branch target buffer and TLB each is replaced by single combined tag memory, we can expect the smaller chip size and the faster prediction. This shared tag architecture is more advantageous for the microprocessors that uses more bits of address and exploits much more instruction level parallelism.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.902-905
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• 2010

지형의 상태를 정확히 알 수 없는 타겟 지역에 모바일 센서 네트워크를 구축하는 것은 타겟 지역에 필요한 센서 노드의 수, 유지되어야 할 connectivity, 센서 노드들에 의해 타겟 지역이 coverage 되는 비율을 예측 할 수 없기 때문에 그 효율성을 가늠하기가 어렵다. 본 논문에서 설계한 MSNS(Mobile Sensor Network Simulator)는 GML 문서를 통해 실제 지도상의 개체를 가시화 하고 Map Object의 장애물 여부를 설정하여 타겟 지역을 구성한다. 이를 기반으로 MSNS는 센서 노드의 수와 connectivity degree 그리고 센서 노드들의 센싱/통신/초음파 범위를 입력 받아 센서 노드의 현재 위치 정보, connectivity, 센싱 coverage를 가시화 하여 타겟 지역에 얼마나 많은 노드들이 필요한지 유추할 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.899-902
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• 2005

Pipeline hazard due to branch instructions is the major factor of the degradation on the performance of microprocessors. Branch target buffer predicts whether a branch will be taken or not and supplies the address of the next instruction on the basis of that prediction. If the branch target buffer predicts correctly, the instruction flow will not be stalled. This leads to the better performance of microprocessor. In this paper, the architecture of a tag memory that branch target buffer and TLB can share is presented. Because the two tag memories used for branch target buffer and TLB each is replaced by single shared tag memory, we can expect the smaller ship size and the faster prediction. This hared tag architecture is more advantageous for the microprocessors that uses more bits of address and exploits much more instruction level parallelism.

• Electrical & Electronic Materials
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• v.3 no.2
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• pp.131-137
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• 1990

스퍼터링시 타겟에서 튀어나오는 원자의 방출각도분포를 새로운 함수로 표현하고 이를 이용하여 박막의 두께와 조성분초를 예측하는 방법을 구하였다. 2원계 RbFe박막의 복합타겟 마그네트론 스퍼터에 의해 제작된 박막의 조성 및 두께해석에 본 모델을 적용한 결과, 스퍼터시 Tb는 overcosine, Fe는 undercosine 방출분포를 갖는다는 것이 밝혀졌으며 이를 이용하여 실용디스크의 대면적균일화 방안의 도출기반을 마련하게 되었다.

• Clean Technology
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• v.21 no.4
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• pp.209-216
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• 2015

Indium-Tin-Oxide (ITO) is a material that is widely used for transparent conductive electrodes (TCEs). Indium (In), chief element of the ITO, is expected to be depleted in the near future owing to its high cost and limited reserves. To overcome the issue, ITO has to be retained by recycling redundant ITO targets after manufacturing processes. In this article, we proposed an efficient recycling way of the redundant ITO targets with investigation of the current recycling tendencies in domestic and foreign countries. As a result, it was revealed that only In is recycled from the redundant targets in domestic and Japan. As well, fabrication of TCEs is being researched with ITO nanoparticles solutions. However, since the TCEs fabricated with ITO target is superior to those with other materials, it is thought that establishment of regeneration technology of ITO itself is demanded for an efficient recycling and fabrication of ITO target.