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A Study on a Combination Model Development for Counterfire Operation with Heterogeneous Weapon System (대화력전에 대한 이종 무기체계의 조합모델개발 연구)

  • Kim, Hanyoung;Kim, Seungcheon;Ro, Kwanghyun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.2
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    • pp.62-69
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    • 2016
  • This paper proposes to select Measure of Performance(MOP) for object attainment in the counterfire operation and deduce the reasonable combination of blue force's hitting resources satisfying MOP's optimal value and regression equation for the object achievement time. Also, in the study-methodological perspective, a series of procedures for drawing the regression equation from the real world is presented. Firstly the model was made by simplifying the weapon-system information of red force and blue force, then the time for object attainment was derived from its simulation. Simulating the model for the counterfire operation was divided into three phases-detection, decision and hitting. The probability method by applying the random numbers were used for detection, fixed constant numbers for decision and hitting. The simulation was repeatedly performed to get the minimum time for the object attainment against the fixed enemy, and it was estimated as the optimal value of simulation. From this result, the optimum combination of blue force's weapon system against the red force and finally, the regression equation were obtained by using the response surface analyzing method in MINITAB. Thereafter this equation was completely verified by using 'the 2-sample t-test.' As a result, the regression equation is suitable.

The Implement of System on Microarry Classification Using Combination of Signigicant Gene Selection Method (정보력 있는 유전자 선택 방법 조합을 이용한 마이크로어레이 분류 시스템 구현)

  • Park, Su-Young;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.12 no.2
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    • pp.315-320
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    • 2008
  • Nowadays, a lot of related data obtained from these research could be given a new present meaning to accomplish the original purpose of the whole research as a human genome project. In such a thread, construction of gene expression analysis system and a basis rank analysis system is being watched newly. Recently, being identified fact that particular sub-class of tumor be related with particular chromosome, microarray started to be used in diagnosis field by doing cancer classification and predication based on gene expression information. In this thesis, we used cDNA microarrays of 3840 genes obtained from neuronal differentiation experiment of cortical stem cells on white mouse with cancer, created system that can extract informative gene list through normalization separately and proposed combination method for selecting more significant genes. And possibility of proposed system and method is verified through experiment. That result is that PC-ED combination represent 98.74% accurate and 0.04% MSE, which show that it improve classification performance than case to experiment after generating gene list using single similarity scale.

Development of Construction Cost Estimation Model for Elementary, Middle and High School Facilities (초·중·고등학교 시설물별 추정공사비 산정모델 개발)

  • Jung, Eui-Hyun;Yeom, Dong-Jun;Kim, Jun-Sang;Kim, Young Suk
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.3
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    • pp.69-78
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    • 2021
  • Estimated construction cost is an important index to secure an optimal budget which needs to go into construction projects in the previous of basic design phase. In order for public institutions to calculate the estimated construction cost, the cost per unit area of public buildings is used. However, the current calculation method of the estimated construction cost in public buildings is impossible to reflect the characteristics of many facilities and combinations. The purpose of this study is to develop an estimation model in the previous of basic design phase for the elementary, middle and high school facilities. it is expected that it is possible to estimate the construction cost of the elementary, middle and high schools in a reasonable and reliable manner through the estimation model developed in this study.

Numerical Study on Vertical Stress Estimation for Panel Pillars at Room and Pillar Mines (주방식 광산의 패널 광주 수직응력 추정을 위한 수치해석 연구)

  • Yoon, Dong-Ho;Song, Jae-Joon
    • Tunnel and Underground Space
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    • v.30 no.5
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    • pp.473-483
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    • 2020
  • This paper examines the vertical stress change concentrated on mine pillar which occurs due to the stress disturbance from opening excavation at room and pillar mine by FLAC3D, a finite difference method (FDM) software. The mesh size combination is decided with a careful consideration of relative error and run-time, then its performance is verified. A series of numerical analyses is conducted and the vertical stress at central pillar was observed for the test cases of 1×1 to 11×11 mine pillars, 40 m to 320 m depth with 40 m difference. The results show that the vertical stress of pillar approaches to the similar value with the value estimated by tributary area theory(TAT) when the development area (NP) is increased or the height of overburden (HOB) is decreased, while it is overestimated in the opposite case. Furthermore, it also represents that the vertical stress factor (VSF) converges to a specific value when the depth is increased whille keeping the development area identical.

Study on Singular Value Decomposition Signal Processing Techniques for Improving Side Channel Analysis (부채널 분석 성능향상을 위한 특이값분해 신호처리 기법에 관한 연구)

  • Bak, Geonmin;Kim, Taewon;Kim, HeeSeok;Hong, Seokhie
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.6
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    • pp.1461-1470
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    • 2016
  • In side channel analysis, signal processing techniques can be used as preprocessing to enhance the efficiency and performance of analysis by reducing the noise or compressing the dimension. As signal processing techiniques using singular value decomposition can increase the information of main signal and reduce the noise by using the variance and tendency of signal, it is a great help to improve the performance of analysis. Typical techniques of that are PCA(Principal Component Analysis), LDA(Linear Discriminant Analysis) and SSA(Singular Spectrum Analysis). PCA and LDA can compress the dimension with increasing the information of main signal, and SSA reduces the noise by decomposing the signal into main siganl and noise. When applying each one or combination of these techniques, it is necessary to compare the performance. Therefore, it needs to suggest methodology of that. In this paper, we compare the performance of the three technique and propose using Sinal-to-Noise Ratio(SNR) as the methodology. Through the proposed methodology and various experiments, we confirm the performance and efficiency of each technique. This will provide useful information to many researchers in the field of side channel analysis.

EOL : Epistemological Ontology Language with SUNHI Expression Power for Ubiquitous Computing Environment (EOL : SUNHI 표현범위를 가진 인식론적 온톨로지 표현 언어)

  • Lee, Keon-Soo;Hong, In-Pyo;Kim, Min-Koo
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10b
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    • pp.408-411
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    • 2006
  • 유비쿼터스 컴퓨팅 환경에서 서비스를 제공함에 있어 지능적인 수행 능력은 사용자의 만족도를 높여주는 핵심 요소이다. 시스템의 지능을 부여하기 위해서는 지식을 관리, 처리, 활용하는 기능이 필요한데, 이들 기능은 그 지식이 어떻게 표현되어 있는지에 큰 영향을 받는다. 일차 술어 논리 기반 지식 표현 방법은 폭넓은 표현 범위와 유연한 지식 정의, 추론 방법으로 선호되고 있지만, 복잡한 계산 비용을 갖고 있기 때문에, 전문적인 지식 처리 시스템이 아닌 경우, 불필요한 계산 비용이 소요된다. Description Logic은 Frame기반 지식 표현 방식으로 일차 술어 논리를 사용하는 것보다 지식을 표현할 수 있는 범위는 제한적이지만, 빠른 추론 결과를 보장해 준다. 유비쿼터스 컴퓨팅 환경에서는 분산된 다양한 오브젝트들이 협력과정을 통해 사용자에게 지능적인 서비스를 제공하게 되고, 이들 개별적인 오브젝트들은 저사양의 계산능력을 갖고 있다고 가정된다. 그러므로, 저사양의 컴퓨팅 오브젝트들을 조합하여 지능적인 서비스를 성공적으로 제공하기 위해서, 각각의 오브젝트들은 제한된 지식을 효과적으로 관리할 수 있는 방법이 필요하다. 이를 위해 본 논문에서는 Frame 기반의 Description Logic을 기반으로 SUNHI의 표현 범위를 가진 인식론적 온톨로지 표현 언어를 제안하고, SUNHI의 표현 범위의 효율성을 증명하고자 한다.

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Seismic Risk Analysis of Steel Pile Type Pier (잔교식 안벽구조물의 확률론적 지진위험도해석)

  • Kim, Dong-Hyawn;Cho, Hong-Yeon;Kim, Doo-Kie;Cho, Byung-Il
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.19 no.3
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    • pp.237-243
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    • 2007
  • Probabilistic seismic risk analysis was performed. Exceeding probabilities of combined stress and maximum horizontal displacement of steel piled pier due to surface ground motion which was transferred from base rock motion was expressed as seismic fragility curves. Occurrence probability of peak ground motion was calculated by using the seismic hazard map on design code for harbor and fishery structures of Korea. Finally seismic risk of pier structure was found by combining the fragility and the hazard and those were presented through numerical analysis.

A Study on Proportion Distort System for Idea generator (아이디어 산출을 위한 자율 비례 변형 시스템에 관한 연구 - 3Dimension Character 중심으로)

  • 조동민;최원재
    • Archives of design research
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    • v.14 no.3
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    • pp.155-164
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    • 2001
  • Under the ambiguous situation that Id character design aim is not defined, this study would help designers with 1. overcoming the limitation of character form generation ability by establishing visual application system, 2. accepting users'opinions by generating character images dynamically, analysing and giving information on the preferred ones on the web on real time, 3. identifying tendency of preference so that they can generate preferred colors and images in future by updating image combination and dropping low-preferred ones. this system would play a role as an idea or character form generation application in the 3d character design development process

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A Dynamically Segmented DCT Technique for Grid Artifact Suppression in X-ray Images (X-ray 영상에서 그리드 아티팩트 개선을 위한 동적 분할 기반 DCT 기법)

  • Lee, Jihyun;Park, Joonhyuk;Seo, Jisu;Kim, Hojoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2018.10a
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    • pp.813-816
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    • 2018
  • X-ray 진단에서 그리드 하드웨어의 사용은 산란선에 의한 영상의 왜곡을 보정할 수 있는 장점이 있는 반면, 반복되는 라인 형태의 그리드 아티팩트를 발생시키는 부작용을 수반한다. 본 논문에서는 이러한 그리드 라인을 제거하는 방법론으로서 이산코사인변환(DCT: discrete cosine transform)을 사용 하는 기법을 제안한다. X-ray 영상에서 그리드 라인의 특성은 피사체의 형태와 영상의 영역에 따라 서로 다른 특성을 갖는다. 이에 본 연구에서는 동적으로 재구성되는 분할 구조를 기반으로 DCT 변환을 적용하고 개별 영역별로 필터전달함수를 최적화하는 방법을 채택하였다. 추출된 주파수 영역 데이터에 대하여 그리드 라인의 대역을 검출하는 알고리즘을 제안하였으며, 필터전달함수로 Kaiser윈도우와 Butterworth 필터를 조합한 형태의 밴드스톱필러(BSF: band stop filter)를 구현하였다. 또한 블로킹 현상을 개선하기 위하여 다중 영상으로부터 경계선 부분의 픽셀값을 결정하는 방법론을 제안하였다. 제안된 이론에 대하여 실제 영상을 사용한 실험결과로부터 그 타당성을 평가하였다.

3D Seismic Data Processing Methodology using Public Domain Software System (공유 소프트웨어 시스템을 이용한 3차원 탄성파 자료처리 방법론)

  • Ji, Jun;Choi, Yun-Gyeong
    • Geophysics and Geophysical Exploration
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    • v.13 no.2
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    • pp.159-168
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    • 2010
  • Recent trend in petroleum/gas exploration is an application of 3D seismic exploration technique. Unlike the conventional 2D seismic data processing, 3D seismic data processing is considered as the one which requires expensive commercial software systems and high performance computer. This paper propose a practical 3D seismic processing methodology on a personal computer using public domain software such as SU, SEPlib, and SEPlib3D. The applicability of the proposed method has been demonstrated by successful application to a well known realistic 3D synthetic data, SEG/EAGE 3D salt model data.