• 제어로봇시스템학회논문지
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• 제14권7호
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• pp.663-671
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• 2008

This paper presents a real-time haptic rendering method for multi-contact interaction with virtual environments. Haptic systems often employ physics-based deformation models such as finite-element models and mass-spring models which demand heavy computational overhead. The haptic system can be designed to have two sampling times, T and JT, for the haptic loop and the graphic loop, respectively. A multi-rate output-estimation with an exponential forgetting factor is proposed to implement real-time haptic rendering for the haptic systems with two sampling rates. The computational burden of the output-estimation increases rapidly as the number of contact points increases. To reduce the computation of the estimation, the multi-rate output-estimation with reduced parameters is developed in this paper. Performance of the new output-estimation with reduced parameters is compared with the original output-estimation with full parameters and an exponential forgetting factor. Estimated outputs are computed from the estimated input-output model at a high rate, and trace the analytical outputs computed from the deformation model. The performance is demonstrated by simulation with a linear tensor-mass model.

• 대한전자공학회논문지TC
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• 제44권5호
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• pp.33-39
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• 2007

본 논문은 cognitive radio (CR) 기능을 갖는 무선 멀티홉 릴레이 네트워크의 throughput 용량에 대한 연구 결과이다. 본 논문에서는 TDMA/FDMA에 기반한 프레임 구조를 갖는 릴레이가 기지국과 통신할 때 CR 기술을 이용하여 현재 사용되고 있지 않는 주파수 자원을 측정하여 동적으로 이용하는 시스템을 제안하고 이의 throughput 용량 모델을 제안 하였다. 특히, 본 논문에서는 Utilization factor를 이용하여 제안된 시스템을 위한 throughput 용량 모델을 제안하였다. 해석 모델링 결과 본 논문에서 제안한 CR 기반 멀티홉 릴레이 시스템은 throughput 용량을 매우 향상하는 결과를 보였다.

• 한국전자거래학회지
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• 제14권3호
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• pp.15-37
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• 2009

본 연구에서는 매수인이 부동산을 검색할 때, 매수인의 다양한 성향을 고려할 수 있는 새로운 검색 시스템을 제안한다. 이를 위해 부동산 가격에 영향을 미치는 요인들을 분석한 뒤, 지역요인 및 개별요인으로 분류하였다. 다요소 의사결정(Multi-attribute Decision Making) 알고리즘을 통해 매수인이 입력한 검색조건을 분석하여 가중치를 부여하고, 부동산 후보지간 엔트로피 척도를 통해 최적의 부동산 후보지를 도출하도록 설계하였다. 본 검색 시스템의 효용성을 평가하기 위해 부산지역의 실제 부동산 정보를 이용하여 실험을 진행하였다. 실험결과, 본 다속성 통합 검색 시스템은 매수 아파트 검색 시 지역분석과 개별분석을 용이하게 해 주었다. 또한 한번 검색으로 여러 지역의 부동산 후보들을 비교분석함으로써 매수인의 탐색비용을 절감시킬 수 있었다.

• 한국BIM학회 논문집
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• 제5권4호
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• pp.11-22
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• 2015

Government efforts for green growth policy initiatives demand low-carbon technologies in the road construction industry. The purpose of this paper is to develop an algorithm of a road alignment design solution for establishing the multi-dimensional information, and to calculate carbon emission quantity due to the geometric design elements in the planning phase of road alignment. The paper developed a calculation method for carbon emission quantity by drawing a speed profile reflected in the operating speed, acceleration and deceleration, which are majors factor of carbon emissions while driving and by applying a carbon emission factor. From this effort, it enabled alignment planning to reduce carbon emission. Object-based parametric design methods of the cross-sections were proposed for alignment planning, and the paper demonstrated a BIM-based road alignment planning solution. The proposed solutions can provide multi-dimensional information on carbon emission quantity and cross section elements through driving simulation. It is expected to allow construction of eco-friendly roads by deriving optimal road alignment to minimize environmental costs.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권3호
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• pp.792-812
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• 2022

Multi-agent systems often need to achieve the goal of learning more effectively for a task through coordination. Although the introduction of deep learning has addressed the state space problems, multi-agent learning remains infeasible because of the joint action spaces. Large-scale joint action spaces can be sparse according to implicit or explicit coordination structure, which can ensure reasonable coordination action through the coordination structure. In general, the multi-agent system is dynamic, which makes the relations among agents and the coordination structure are dynamic. Therefore, the explicit coordination structure can better represent the coordinative relationship among agents and achieve better coordination between agents. Inspired by the maximization of social group utility, we dynamically construct a factor graph as an explicit coordination structure to express the coordinative relationship according to the utility among agents and estimate the joint action values based on the local utility transfer among factor graphs. We present the application of such techniques in the scenario of multiple intelligent vehicle systems, where state space and action space are a problem and have too many interactions among agents. The results on the multiple intelligent vehicle systems demonstrate the efficiency and effectiveness of our proposed methods.

• Journal of Electrical Engineering and Technology
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• 제10권5호
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• pp.1958-1968
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• 2015

In this paper, a new definition of short-circuit ratio concept for multi-converter HVDC systems is proposed. Analysis results of voltage interaction between converters show that the reactive power-voltage characteristic of a converter has a dominant effect on voltage interaction level compared with its active power-voltage characteristic. Such a relation between converter reactive power and voltage interaction level supports taking the former into account in the definition of short-circuit ratio concept for multi-converter systems. The proposed definition is verified by the method of maximum power curve for various system configurations. Furthermore, a formula to calculate transient overvoltage for multi-converter systems is derived based on the proposed definition, and the efficiency of the derived formula is verified.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집A
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• pp.175-180
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• 2001

In real structure, multi-point spot welded joints are more frequently used than a single-point spot welded joint. Most researches, however, have been focused to a single-point spot welded joint until now. In this paper, the fatigue behavior of multi-point spot welded joints are investigated both experimentally and analytically using the finite elements. The local strain approach is used rather than the stress intensity factor approach to estimate the fatigue life since the former is quite simple and straightforward. It is found that the fatigue behavior of multi-point spot welded joints is different from that of single-point spot welded joints. The local strain approach is still applicable to multi-point spot welded joints.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제52권7호
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• pp.352-360
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• 2003

This paper deals with a simple method in order to analyze and compare the harmonic characteristics in the multi-level inverter. Generally, the magnitude of harmonic components becomes different according to the multi-carrier Pulse Width Modulation(PWM) techniques, the modulation index($M_i$) and the switching frequency The previous papers analyzed the harmonic characteristics from the viewpoint of the space voltage vector. Hence, the calculation of the harmonic vector becomes more difficult and complex in 4-level or over 5-level. However, the proposed method has reduced an amount of calculation and simplified the process of it, using the relationship between the reference voltage and the output phase voltage to the load neutral point. It is applied to the 5-level cascade inverter and the harmonic characteristics for each multi-carrier PWM technique are compared through the simulation.

• 지능정보연구
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• 제29권1호
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• pp.249-263
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• 2023

대표적인 추천 시스템 방법론인 협업 필터링(Collaborative Filtering)에는 이웃기반 방법(Neighbor Methods)과 잠재 요인 모델(Latent Factor model)이라는 두 가지 접근법이 있다. 이중 행렬 분해(Matrix Factorization)를 이용하는 잠재 요인 모델은 사용자-아이템 상호작용 행렬을 두 개의 보다 낮은 차원의 직사각형 행렬로 분해하고 이들의 행렬 곱으로 아이템의 평점(Rating)을 예측한다. 평점 패턴으로부터 추출된 요인 벡터들을 통해 사용자와 아이템 속성을 포착할 수 있기 때문에 확장성, 정확도, 유연성 측면에서 이웃기반 방법보다 우수하다고 알려져 있다. 하지만 평점이 지정되지 않은 아이템에 대해서는 선호도가 다른 개개인의 다양성을 반영하지 못하는 근본적인 한계가 있고 이는 반복적이고 부정확한 추천을 초래하게 된다. 이러한 잠재요인 모델의 한계를 개선하고자 각각의 아이템 별로 사용자의 선호도를 적응적으로 학습하는 적응 심층 잠재요인 모형(Adaptive Deep Latent Factor Model; ADLFM)이 등장하였다. ADLFM은 아이템의 특징을 설명하는 텍스트인 아이템 설명(Item Description)을 입력으로 받아 사용자와 아이템의 잠재 벡터를 구하고 어텐션 스코어(Attention Score)를 활용하여 개인의 다양성을 반영할 수 있는 방법을 제시한다. 하지만 아이템 설명을 포함하는 데이터 셋을 요구하기 때문에 이 방법을 적용할 수 있는 대상이 많지 않은 즉 일반화에 있어 한계가 있다. 본 연구에서는 아이템 설명 대신 추천시스템에서 보편적으로 사용하는 아이템 ID를 입력으로 하고 Self-Attention, Multi-head attention, Multi-Conv1d 등 보다 개선된 딥러닝 모델 구조를 적용함으로써 ADLFM의 한계를 개선할 수 있는 일반화된 적응 심층 잠재요인 추천모형 G-ADLFRM을 제안한다. 다양한 도메인의 데이터셋을 가지고 입력과 모델 구조 변경에 대한 실험을 진행한 결과, 입력만 변경했을 경우 동반되는 정보손실로 인해 ADLFM 대비 MAE(Mean Absolute Error)가 소폭 높아지며 추천성능이 하락했지만, 처리할 정보량이 적어지면서 epoch 당 평균 학습속도는 대폭 향상되었다. 입력 뿐만 아니라 모델 구조까지 바꿨을 경우에는 가장 성능이 우수한 Multi-Conv1d 구조가 ADLFM과 유사한 성능을 나타내며 입력변경으로 인한 정보손실을 충분히 상쇄시킬 수 있음을 보여주었다. 결론적으로 본 논문에서 제시한 모형은 기존 ADLFM의 성능은 최대한 유지하면서 빠른 학습과 추론이 가능하고(경량화) 다양한 도메인에 적용할 수 있는(일반화) 새로운 모형임을 알 수 있다.

• KIEAE Journal
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• 제12권6호
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• pp.113-121
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• 2012

A hospital is the most important infra-facility of the places which take care of people's body in social environment. There exist several environmental factors in the ways to heal the human body in hospital ward, but this study tried to look into the improvable pleasant sickroom environment with focus on light environment among the factors. In other words, this study aims at the research on proper daylight inflow into sickroom space as basic data for understanding the link between healing environment and natural lighting. In the simulation analysis through this research, this study completed the initial simulation using Autodesk Revit 2011 with focus on two types of individual multi-bed room units of the two general hospitals located in Gwangju City. This study made a simulation analysis of The two multi-bed rooms looking to the west using the weather data on Gwangju district, which is the strong point of ECOTECT2011. Conclusively, looking into the analysis of the simulation model in time of attaching the length of in & outside light shelf, the angle controlling of light shelf, the daylight factor and DA were found to show the tendency to decrease in the numerical value due to the decrease in sunlight inflow as the simulation model moved more toward the room from the window in comparison with the existing analysis of multi-bed rooms. Particularly, this study was able to read that the daylight factor and DA were more decreasing to improve at the light shelf than the existing bedrooms; conclusively, this study judges that the natural lighting simulation analysis could be helpful in improving the healing environment as basic data.