• ETRI Journal
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• 제43권2호
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• pp.260-271
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• 2021

This paper addresses Very large-scale integration (VLSI) placement optimization, which is important because of the rapid development of VLSI design technologies. The goal of this study is to develop a hybrid algorithm for VLSI placement. The proposed algorithm includes a sequential combination of a genetic algorithm and an evolutionary algorithm. It is commonly known that local search algorithms, such as random forest, hill climbing, and variable neighborhoods, can be effectively applied to NP-hard problem-solving. They provide improved solutions, which are obtained after a global search. The scientific novelty of this research is based on the development of systems, principles, and methods for creating a hybrid (combined) placement algorithm. The principal difference in the proposed algorithm is that it obtains a set of alternative solutions in parallel and then selects the best one. Nonstandard genetic operators, based on problem knowledge, are used in the proposed algorithm. An investigational study shows an objective-function improvement of 13%. The time complexity of the hybrid placement algorithm is O(N2).

• Steel and Composite Structures
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• 제39권4호
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• pp.471-491
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• 2021

In this study, we estimate the ultimate load of rectangular concrete-filled steel tubes (CFST) by developing a novel hybrid predictive model (ANN-BCMO) which is a combination of balancing composite motion optimization (BCMO) - a very new optimization technique and artificial neural network (ANN). For this aim, an experimental database consisting of 422 datasets is used for the development and validation of the ANN-BCMO model. Variables in the database are related with the geometrical characteristics of the structural members, and the mechanical properties of the constituent materials (steel and concrete). Validation of the hybrid ANN-BCMO model is carried out by applying standard statistical criteria such as root mean square error (RMSE), coefficient of determination (R²), and mean absolute error (MAE). In addition, the selection of appropriate values for parameters of the hybrid ANN-BCMO is conducted and its robustness is evaluated and compared with the conventional ANN techniques. The results reveal that the new hybrid ANN-BCMO model is a promising tool for prediction of the ultimate load of rectangular CFST, and prove the effective role of BCMO as a powerful algorithm in optimizing and improving the capability of the ANN predictor.

• 한국항행학회논문지
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• 제11권3호
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• pp.274-280
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• 2007

초 광대역 신호는 상대적으로 낮은 주파수에서 매우 넓은 대역폭을 갖는 방사 스펙트럼을 특징으로 하고 있다. 본 논문에서는 잡음과 동일채널간섭 채널에서 M-ary 상관 수신기 구조로 된 초 광대역 시스템의 비트 오율, 패킷 오율, 데이터 처리율 성능을 분석한다. UWB 시스템의 성능을 평가하기 위하여 하나 이상의 펄스 위치 변조 신호로 구성된 UWB 통신 파형을 사용하였다. 본 논문에서 사용된 M-ary PPM 신호는 시스템 성능 해석의 간략화를 위하여 균일하게 상관된 PPM 신호를 정의하였다. 시스템 성능의 해석을 통하여 무선 채널 에러는 처러율 성능을 감소시키며 hybrid ARQ 기법을 통하여 효과적으로 증가시킬 수 있음을 알 수 있었다. 또한, 성능 개선 기법과 사용된 파라미터를 통하여 초 광대역 시스템의 데이터 처리율 비교를 수행하였다. 성능 평가 과정을 통하여 무선 채널과 hybrid ARQ 기법의 영향을 신호 대 잡음 전력비에 따른 PER 및 처리율을 평가하였다.

• Journal of Welding and Joining
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• 제34권1호
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• pp.59-67
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• 2016

The automotive manufactures increase their use of lightweight materials to improve fuel economy and energy usage has a significant influence on the choice of developing materials. To meet this requirements manufacturers are replacing individual body parts with lightweight metals, for these the process treating and painting surfaces is changing. The pre-coated steels are newly developed to avoid the conventional complex and non-environmental painting process in the body-in-white car manufacturing. The development of new joining techniques is critically needed for pre-coated steel sheets, which are electrically non-conductive materials. In the present study, dissimilar combination of pre-coated steel and galvanized steel sheets were joined by the self-piercing rivet, adhesive bonding and hybrid joining techniques. The tensile shear test and free falling high speed crash test were conducted to evaluate the mechanical properties of the joints. The highest tensile peak load with large deformation was observed for the hybrid joining process which has attained 48% higher than the self-piercing rivet. Moreover, the hybrid and adhesive joints were observed better strain energy compared to self-piercing rivet. The fractography analyses were revealed that the mixed mode of cohesive and interfacial fracture for both the hybrid and adhesive bonding joints.

• Advanced Composite Materials
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• 제17권3호
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• pp.225-233
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• 2008

The analysis in this paper is focused on the pattern of mixing of filaments over a cross-section of hybrid yarns according to different combinations of reinforcement and matrix filament yarns through microscopic view. The volume content of filament in hybrid yarn cross-section was maintained at 50% for both reinforcement and matrix, and the hybrid yarns count at 600 tex throughout the experiments. It was observed from the experiments that diameters of reinforcement and matrix filaments have strong effects particularly on the pattern of mixing of filaments over a cross-section of hybrid yarns such that the hybrid yarns with more or less equal diameters of reinforcement and matrix filaments showed considerably even distributions over the hybrid yarn cross-section. This paper also investigates the possibility of hybridizing carbon/aramid, carbon/glass and aramid/glass matrices through the commingling process. In the experiment, several process parameters were selected and they include pressure, yarn oversupply-rate and different nozzle types. As a result of these experiments, it was concluded that the hybridized materials show better performance than individual reinforced filament yarns in terms of mechanical properties. For small tensile forces, the carbon/glass/matrix combination turned out to be good enough for general purpose applications.

• 한국음향학회지
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• 제31권6호
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• pp.391-398
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• 2012

본 연구에서는 기존의 RANS(Reynolds Averaged Navier Stokes) 방정식을 이용하는 복합 CAA(Computational AeroAcoustics) 방법에 광대역 소음원 생성을 위한 FRPM(Fast Random Particle Mesh) 기법을 적용하여 원심팬 광대역 소음 예측을 수행하였다. 먼저, RANS 방정식을 이용하여 원심팬 주위의 유동장을 예측하여 주요한 소음원 영역을 추론하고, 추론된 소음원 영역에 FRPM 기법을 적용하여 통계적 특성을 만족하는 난류를 재생하였다. RANS 방정식으로부터 해석된 유동장과 FRPM 기법으로부터 재생된 유동장을 이용하여 합성한 유동장에 음향상사법(Acoustic Analogy)을 적용하여 원심팬의 소음원을 생성하였다. 생성된 원심팬의 소음원을 경계요소법(Boundary Element Method)으로 구현된 선형전파모델에 적용하여 원심팬의 광대역 소음을 예측하였다. 원심팬에 대한 소음 측정값과의 비교를 통하여 제안된 기법이 원심팬의 순음 소음 및 광대역 소음 예측에 효과적임을 확인하였다.

• Computers and Concrete
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• 제25권6호
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• pp.509-516
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• 2020

Adding fibers improves concrete performance in respect of strength and plasticity. There are numerous fibers for use in concrete that have different mechanical properties, and their combination in concrete changes its behavior. So, to investigate the behavior of the fiber reinforced concrete, an in vitro study was conducted on concrete with different fiber compositions including different ratios of steel, polypropylene and glass fibers with the volume of 1%. Two forms of fibers including single-stranded and aggregated fibers have been used for testing, and the specimens were tested for compressive strength and dividable tensile strength (splitting tensile) to determine the optimal ratio of the composition of fibers in the concrete reinforced by hybrid fibers. The results show that the concrete with a composition of steel fibers has a better performance than other compounds. In addition, by adding glass and propylene fibers to the composition of steel fibers, the strength of the samples is reduced. Also, if using the combination of fibers is required, the use of a combination of glass fibers with steel fibers will provide a better compressive strength and tensile strength than the combination of steel fibers with propylene.

• 환경영향평가
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• 제14권4호
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• pp.157-164
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• 2005

Existing models that predict of Daily water supply include statistical models and neural network model. The neural network model was more effective than the statistical models. Only neural network model, which predict of Daily water supply, is focused on estimation of the operational control. Neural network model takes long learning time and gets into local minimum. This study proposes Neuro Genetic hybrid model which a combination of genetic algorithm and neural network. Hybrid model makes up for neural network's shortcomings. In this study, the amount of supply, the mean temperature and the population of the area supplied with water are use for neural network's learning patterns for prediction. RMSE(Root Mean Square Error) is used for a MOE(Measure Of Effectiveness). The comparison of the two models showed that the predicting capability of Hybrid model is more effective than that of neural network model. The proposed hybrid model is able to predict of Daily water, thus it can apply real time estimation of operational control of water works and water drain pipes. Proposed models include accidental cases such as a suspension of water supply. The maximum error rate between the estimation of the model and the actual measurement was 11.81% and the average error was lower than 1.76%. The model is expected to be a real-time estimation of the operational control of water works and water/drain pipes.

• 한국정밀공학회지
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• 제29권1호
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• pp.19-24
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• 2012

We demonstrate the desert beetle back mimicking hybrid superhydrophilic/superhydrophobic patterned surface by using the combination method of colloidal lithography and gravure offset printing for nano and micro patterning, respectively. The two methods are cost-effective and industrially available techniques compared to the other nano/micro patterning methods. To verify the water collecting function of the hybrid surface, the water condensation behavior is investigated on the chilled surface in ambient temperature and high humidity. Due to the synergetic effect of drop and film wise condensation, the hybrid superhydrophobic/superhydrophilic surface shows the higher efficiency than one of single wettability surfaces. The work is underway to get the good patterns of hybrid surfaces for water collecting from the dew or fog.

• 만화애니메이션 연구
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• 통권31호
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• pp.1-27
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• 2013

본 연구는 애니메이션에서 나타나는 하이브리드 캐릭터의 형상을 살펴보고 창의적인 한국형 캐릭터 개발과 대중매체에서 재생산될 수 있는 전통 문화의 재현을 위한 확장된 담론을 제시하고자 한다. 먼저, 한국전통문화에서 빈번하게 등장하는 장승과 도깨비를 고찰하고 한국형 하이브리드 캐릭터의 개발을 시도하기 위한 방안을 마련하였다. 이를 위하여 기존 애니메이션 캐릭터에서 하이브리드 특징을 연출한 사례를 분석하여 의미를 파악하였다. 하이브리드 캐릭터는 형태의 조합 및 결합으로 생성된 캐릭터와 형태의 과장으로 생성된 캐릭터로 분류되었다. 그리고 문화재로 남아있는 장승과 도깨비의 특징과 의미를 재조명하였다. 이를 통해, 한국 애니메이션이 가진 캐릭터의 문제점 극복 방안에 도움이 될 수 있는 사항을 구축하고자 한다. 이에 본 논문은 기존의 애니메이션들 속에서 표현된 상상의 동물에 대한 묘사의 특성을 살펴보고, 한국적인 캐릭터 개발에 활용할 수 있도록 민속 신앙과 풍속의 대상으로만 여겨졌던 한국의 장승과 도깨비를 한국 전통 캐릭터 개발에 활용 가능한 대상으로 재조명할 수 있는 기회를 마련하고자 한다.