• Structural Engineering and Mechanics
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• 제3권4호
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• pp.373-382
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• 1995

The weighting strategy has received a great attention and has been widely applied to multicriterion optimization. This gaper examines a global criterion method (GCM) with the weighting objectives strategy in fuzzy structural engineering problems. Fuzziness of those problems are in their design goals, constraints and variables. Most of the constraints are originated from analysis of engineering mechanics. The GCM is verified to be equivalent to fuzzy goal programming via a truss design. Continued and mixed discrete variable spaces are presented and examined using a fuzzy global criterion method (FGCM). In the design process a weighting parameter with fuzzy information is introduced into the design and decision making. We use a uniform machine-tool spindle as an illustrative example in continuous design space. Fuzzy multicriterion optimization in mixed design space is illustrated by the design of mechanical spring stacks. Results show that weighting strategy in FGCM can generate both the best compromise solution and a set of Pareto solutions in fuzzy environment. Weighting technique with fuzziness provides a more relaxed design domain, which increases the satisfying degree of a compromise solution or improves the final design.

• 한국정보처리학회논문지
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• 제5권8호
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• pp.2050-2060
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• 1998

가중치전략(weighting strategy)은 인공지능의 한 분야인 자동화추론(automated resaonnimg) 분야에서, 허용 가능한 시간과 기억공간내에서 해를 구하기 위해서 필수적으로 사용되는 방법이다. 그러나 가중치전략의 적용은 문제에 대한 사용자의 지식이나 경험에 주로 의존할 뿐 아니라, 각각의 단계에서 프로그램화되지 못하여 수작업으로인한 시간의 소모가 많다. 수작업을 필요로 하던 기존의 시스템을 자동화하여, 관계계층구조(thesaurus)를 시스템이 자동으로 구축하는 도구를 개발하고, 이를 기존의 자동정리증명기에 통합하여, 그 성능을 개선하는 시스템을 제안한다.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2002년도 춘계 학술발표회 논문집
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• pp.475-482
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• 2002

This paper provides the systematic procedure to determine the weighting matrices of optimal controllers considering structural energy. Optimal controllers consist of LQR and ILQR. The weighting matrices are needed first in the conventional optimal control design strategy. However, they are in general dependent on the experienced knowledge of controll designers. Applying the Lyapunov function to the total structural energy and using the contrition that its derivative is negative, we can determine the weighting matrices without difficulty. It is proven that the control efficiency is achieved well for LQR and ILQR.

• 방송공학회논문지
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• 제21권6호
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• pp.889-898
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• 2016

가상 저음 시스템은 기본 주파수 성분의 배음을 생성하여 스피커의 저역 재생 대역을 확장하는 방법으로 소형 스피커에 널리 사용된다. 가상 저음 시스템의 주관적인 성능은 배음의 가중치 부여 방법과 관련이 높기 때문에, 기존 연구에서는 지수 감쇠 가중치 부여 방법과 음색 매칭 방법 등 다양한 가중치 부여 방법이 제안되었다. 그러나 생성한 배음과 기존 신호간의 위상을 맞추지 않을 경우 정확한 가중치 부여가 불가능하다. 본 논문에서는 기존 가중치 부여 방법의 한계점을 분석하고 이를 개선한 가중치 부여 방법을 제안하였다. 제안한 방법은 생성한 배음의 위상을 기존신호의 위상과 일치시키고, 기본 주파수에 따라 배음 가중치를 가변적으로 부여하는 방법이다. 기존 가상 저음 시스템과 객관 및 주관 비교 평가를 수행한 결과, 위상 일치 방법은 자연스럽고 효과적인 저역강화에 필수적임을 확인하였으며, 제안한 배음 가중치 부여 방법은 제한된 상황에서 기존 가중치 부여 방법보다 효과적임을 확인하였다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2000년도 봄 학술발표회논문집
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• pp.431-438
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• 2000

The cost function consists of the weighting functions concerning the structural responses to be controlled and the controller capability. Therefore, the control efficiency depends on the characteristics of the weighting functions. The objective of this paper is the comparative study of the time domain control strategies of LQR and LQG and the frequency domain strategy of H₂ by setting the equivalent weighting functions to the all control strategies. As a result of analysis, LQR strategy is found to be more efficient than other strategies in terms of the response reduction. but the control force is found to be a little highter. As LQG can compensate the limitation of LQR that all state variables should be identified, LQG is more acceptable algorithm than LQR. Furthermore LQG shows a good performance both in the response reduction and the control force. Finally H₂ algorithm is employed to illustrate the importance of weighting filters considering the frequency characteristics of the response and the controller. It Is shown that the H₂ algorithm is found to be the most effective one for the response control with a little control force having a low frequency band.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권1호
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• pp.319-333
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• 2022

In order to enhance system energy efficiency, bidirectional link resource allocation strategy in GFDM-based multiuser SWIPT systems is proposed. In the downlink channel, each SWIPT user applies power splitting (PS) receiver structure in information decoding (ID) and non-linear energy harvesting (EH). In the uplink channel, information transmission power is originated from the harvested energy. An optimization problem is constructed to maximize weighted sum ID achievable rates in the downlink and uplink channels via bidirectional link power allocation as well as subcarriers and subsymbols scheduling. To solve this non-convex optimization problem, Lagrange duality method, sub-gradient-based method and greedy algorithm are adopted respectively. Simulation results show that the proposed strategy is superior to the fixed subcarrier scheme regardless of the weighting coefficients. It is superior to the heuristic algorithm in larger weighting coefficients scenario.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2002년도 ICCAS
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• pp.85.1-85
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• 2002

In this paper, a control strategy of position and force is proposed based on a switching algorithm. The main focus is the control of position and force in the same direction. The switching algorithm based on a fuzzy algorithm determines the weighting value of force control. First, the force control is dominant. If the position gets closer to the desire position, the weighting value of force control is closer to zero. The proposed algorithm is shown to be satisfactory to position and force control and the weighting factor is quite successful by simulation examples.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제16권2호
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• pp.81-86
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• 2016

Term weighting is a popular technique that effectively weighs the term features to improve accuracy in document classification. While several successful term weighting algorithms have been suggested, none of them appears to perform well consistently across different data domains. In this paper we propose several reasonable methods to combine different term weight vectors to yield a robust document classifier that performs consistently well on diverse datasets. Specifically we suggest two approaches: i) learning a single weight vector that lies in a convex hull of the base vectors while minimizing the class prediction loss, and ii) a mini-max classifier that aims for robustness of the individual weight vectors by minimizing the loss of the worst-performing strategy among the base vectors. We provide efficient solution methods for these optimization problems. The effectiveness and robustness of the proposed approaches are demonstrated on several benchmark document datasets, significantly outperforming the existing term weighting methods.

• Journal of Information Technology Applications and Management
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• 제13권1호
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• pp.77-94
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• 2006

Case-based Reasoning (CBR) is widely used in business and industry prediction. It is suitable to solve complex and unstructured business problems. Recently, the prediction accuracy of CBR has been enhanced by not only various machine learning algorithms such as genetic algorithms, relative weighting of Artificial Neural Network (ANN) input variable but also data mining technique such as feature selection, feature weighting, feature transformation, and instance selection As a result, CBR is even more widely used today in business area. In this study, we investigated the usefulness of the CBR method in forecasting success in implementing ERP systems. We used a CBR method based on the feature weighting technique to compare the performance of three different models : MDA (Multiple Discriminant Analysis), GECBR (GEneral CBR), FWCBR (CBR with Feature Weighting supported by Analytic Hierarchy Process). The study suggests that the FWCBR approach is a promising method for forecasting of successful ERP implementation in Small and Medium sized Enterprises.

• 한국지진공학회논문집
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• 제6권6호
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• pp.49-53
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• 2002

가중행렬은 일반적인 최적 제어 설계에서 우선적으로 필요하지만 일반적으로 제어 설계자들 이 경험적 지식에 의존하고 있다. 이 논문은 구조물의 에너지를 고려한 최적제어기의 가중행렬을 결정하는 체계적인 절차를 제시하였다. 최적제어기는 LQR과 ILQR로 구분될 수 있다. 구조물의 총에너지를 고려한 Lyapunov 함수를 적용하고, 이로부터 유도된 식이 음수라는 상태를 이용하면 가중행렬을 어렵지 않게 구할 수 있다. 이러한 방법으로 산정된 가중행렬을 이용하여 LQR과 ILQR제어기를 설계하고 제어효율을 입증하였다.