• 한국통신학회논문지
• /
• 제42권2호
• /
• pp.514-522
• /
• 2017

트래픽 오프로딩은 폭발적으로 증가하는 모바일 트래픽에 대응하기 위한 유망 솔루션이다. 오프로딩 방법 중, LIPA/SIPTO 오프로딩에서는 애플리케이션의 QoS 요구사항을 만족하면서 트래픽을 오프로딩할 수 있다. 또한, SNS로 인한 많은 트래픽때문에 social context를 이용한 트래픽 오프로딩이 필요하다. 그러므로, 본 논문에서는 social context를 이용하여 트래픽을 오프로딩하는 LIPA/SIPTO 오프로딩 알고리즘을 제안한다. 먼저, 애플리케이션 인기도를 social context로 이용하여 애플리케이션 선택확률을 정의한다. 그 다음, effective data rate 관점에서 소형셀 사용자의 QoS를 최대화하는 최적의 오프로딩 weighting factor를 찾는다. 마지막으로, 애플리케이션 선택확률과 오프로딩 weighting factor를 기반으로 각 애플리케이션의 오프로딩 비율을 정한다. 성능분석 결과, 제안한 알고리즘의 오프로딩 비율이 기존 알고리즘의 약 46%임에도 불구하고, 제안한 알고리즘의 effective data rate achievement ratio 값이 기존 알고리즘과 비슷한 것을 확인하였다.

• 한국실내디자인학회논문집
• /
• 제20권5호
• /
• pp.34-41
• /
• 2011

Today, residential building is considered of be one of the most important space of their quality of life and health. Residential buildings should provide comfortable environments to support the activities of their occupants. And good residential buildings are made by appropriately combining residential spaces, such as living room, master bedroom, bedroom, kitchen, restroom, and so on. These combinations in residential building are must be compatible with the activities of the occupants and their needs. The objective of this research is to investigate and analyze the relative importance and space priority between residential space in residential buildings depending on occupants' characteristics, such as, gender and age. Especially, this research is to find space weighting factors for integrative evaluation in residential buildings based on occupant survey. These weighting factors play an important role in determining the relative importance of various residential spaces for integrative residential space evaluation. And, the result from this research will help designers and researchers to find space planning strategies in residential building, and develop new integrative evaluation framework for improving residential quality from the occupants' point of view.

• 전자공학회논문지B
• /
• 제33B권4호
• /
• pp.124-130
• /
• 1996

A compensation method of color error resulting from dynamic range transformation of color image is propsoed. The color error is measured using the CIE L a b uniform color space, and the color image is compensated to minimize it. The color error is significant in the dark region of image, which is caused by the lunimance scaling factor is relatively large in that case. In the proposed method, we weight the luminance scaling factor corresponding to luminnce to minimize the error. Because the weighting factor depends on luminace distribution of image, a decisio method of weighting factor using histogram is also proposed.

• 한국음향학회지
• /
• 제18권4호
• /
• pp.47-52
• /
• 1999

본 논문에서는 특징 파라미터의 분산과 인식성능에 대한 기여도를 고려하여 각 특징 파라미터를 가중시키는 방법을 제안하였다. 각 특징 파라미터의 인식률에 비례하게 전체 기여도를 설정하고, 각 특징 파라미터의 분산에 따라 가중요인을 설정하였다. 전체 기여도와 분산에 따른 가중요인을 사용하여 각 특징 파라미터의 상태별 가중치를 설정하였다. 제안한 방법의 유효성을 살펴보기 위해 유사음소 단위의 HMM 음성인식시스템을 사용하여 인식실험을 하였다. 인식실험에서 제안한 방법으로 가중치를 설정하였을 경우에 인식률이 7.7% 향상됨을 볼 수 있었다.

• Journal of Power Electronics
• /
• 제18권5호
• /
• pp.1398-1408
• /
• 2018

In order to further improve the steady-state control performance of model predictive torque control (MPTC), a double-vector-based model predictive torque control without a weighting factor is proposed in this paper. The extended voltage vectors synthesized by two basic voltage vectors are used to increase the number of feasible voltage vectors. Therefore, the control precision of the torque and the stator flux along with the steady-state performance can be improved. To avoid testing all of the feasible voltage vectors, the solution of deadbeat torque control is calculated to predict the reference voltage vector. Thus, the candidate voltage vectors, which need to be evaluated by a cost function, can be reduced based on the sector position of the predicted reference voltage vector. Furthermore, a cost function, which only includes a reference voltage tracking error, is designed to eliminate the weighting factor. Moreover, two voltage vectors are applied during one control period, and their durations are calculated based on the principle of reference voltage tracking error minimization. Finally, the proposed method is tested by simulations and experiments.

• 전자공학회논문지
• /
• 제51권9호
• /
• pp.165-170
• /
• 2014

음성 인식을 위한 전처리기로 주변 잡음을 제거해 주는 음성향상 기법이 강조되고 있다. 다양한 음성향상 기법들 중 코드북 기반 음성향상 기법은 nonstationary 잡음 환경에서도 효율적으로 동작한다. 하지만, 기존 코드북 기반 음성향상 기법에서는 입력 신호와 음성 및 잡음 코드벡터 간에 미스매치가 발생하여 부정확한 게인이 추정되는 문제가 있다. 본 논문에서는 부정확한 게인을 보상하기 위해 long-term 잡음 추정 알고리즘을 사용하여 매 프레임 별로 신호 대 잡음비기반의 Normalized Weighting Factor (NWF)를 구하고, 이것을 기존 게인에 보상하는 방식을 제안한다. 제안된 코드북 기반 음성향상 기법은 기존 코드북 기반 음성향상 기법에 비해 향상된 성능을 보였다.

• 대한전기학회논문지:전력기술부문A
• /
• 제48권6호
• /
• pp.789-799
• /
• 1999

In this paper, the optimization of fuzzy inference systems is proposed for fuzzy model of nonlinear systems. A fuzzy model needs to be identified and optimized by means of the definite and systematic methods, because a fuzzy model is primarily acquired by expert's experience. The proposed rule-based fuzzy model implements system structure and parameter identification using the HCM(Hard C-mean) clustering method, genetic algorithms and fuzzy inference method. Two types of inference methods of a fuzzy model are the simplified inference and linear inference. in this paper, nonlinear systems are expressed using the identification of structure such as input variables and the division of fuzzy input subspaces, and the identification of parameters of a fuzzy model. To identify premise parameters of fuzzy model, the genetic algorithms is used and the standard least square method with the gaussian elimination method is utilized for the identification of optimum consequence parameters of fuzzy model. Also, the performance index with weighting factor is proposed to achieve a balance between the performance results of fuzzy model produced for the training and testing data set, and it leads to enhance approximation and predictive performance of fuzzy system. Time series data for gas furnace and sewage treatment process are used to evaluate the performance of the proposed model.

• 한국통신학회논문지
• /
• 제30권12C호
• /
• pp.1214-1221
• /
• 2005

본 논문에서는 DCT 평면에서 modulation transfer function (MTF)을 사용한 정지영상 워터마킹 방법을 제안하였다. 정지영상에 삽입된 워터마크의 가시성을 줄이기 위하여 인간의 시각적 특성을 나타내는 MTF를 사용하였다. 제안한 워터마킹 방법이 lowpass filtering 및 cropping 등의 공격에 강인한 특성을 나타내었다. 공간평면과 DCT 평면 사이의 에너지 상관관계를 이용하여 DCT 평면에서 삽입될 워터마크의 길이와 공간 평면에서 원하는 peak signal to noise ratio (PSNR)가 주어졌을 때 DCT 평면에서 워터마크 weighting factor를 구하는 식을 유도하였으며, 원하는 PSNR과 공간평면 및 DCT 평면에서 계산된 PSNR이 본 실험에서 사용한 7가지 영상에 대하여 최대 0.07dB이내로 오차를 나타내었다.

• 한국해양공학회지
• /
• 제27권5호
• /
• pp.28-35
• /
• 2013

In this paper, a research on the composition of the nesting algorithm fitness function is carried out by performing various numerical experiments to inspect how it affects the scrap efficiency, allocation characteristics, and time consumption, targeting the nesting results of ship parts. This paper specifically concentrates on a method to minimize the scrap ratio and efficiently use the well-defined remnants of a raw plate after the nesting process for the remnant nesting. Therefore, experiments for various ship parts are carried out with the weighting factor method, one of the multi-objective optimum design methods. Using various weighting factor sets, the nesting results are evaluated in accordance with the above purposes and compared with each set for each ship part groups. Consequently, it is suggested that the nesting algorithm fitness function should be constructed differently depending on the characteristics of the parts and the needs of the users.

• 한국정밀공학회지
• /
• 제20권1호
• /
• pp.159-171
• /
• 2003

In this paper, same parts of a domestic automobiles and foreign automobiles are disassembled fur the evaluation of disassemblability, especially door trim and bumper. Influencing factors of disassembly are determined by the classification of bottleneck process in disassembly process. On the bases of disassembly sequence and structure of parts and subassembly, disassemblability is classified into aye categories. The influencing factors, which are related with the five categories are determined. By these relations, the checklist for disassembly evaluation is draw up and score tables of checked factors are established. For the establishing the disassembly score tables, the weighting values of each five categories are calculated by the disassembly test of automobiles and then, the weighting values of each influencing factors of five categories are calculated by the method of AHP (Analytic Hierarchy Process). And the last, the weighting values are modified and recalculated from the disassembly test. Using these weighting values, the score of influencing factors are determined and then, the score tables are established based on the score of influencing factors.