다분야통합해석에 기반한 설계문제는 일반적으로 전체 설계과정에서 매우 큰 계산시간을 요구하며, 이러한 계산시간을 단축하기 위해 병렬처리시스템을 도입하는 것이 필수적이다. 그러나 다분야통합해석에 기존의 병렬처리기법을 적용하기 위해서는 해석에 필요한 모든 CAE 소프트웨어들이 병렬처리시스템의 모든 서버에 설치되어 있어야 하며, 이는 매우 큰 CAE 소프트웨어의 비용을 필요로 한다. 본 논문에서는 이러한 문제점을 해결하기 위해 가중치 기반 멀티큐 부하분산 알고리즘을 제안하였다. 제안된 알고리즘은 서버들의 성능과 설치된 CAE 소프트웨어들의 종류가 각기 다른 이종 병렬처리시스템을 고려하였으며 성능검증을 위해 선입선출(First Come First Servre) 알고리즘을 적용한 경우와 비교한 전산실험을 수행하였다.

This paper proposes a hierarchical approach to the machine loading problem when the workload and tool magazine capacity of each machine are restrained. This heuristic approach reduces the maximum workload of the machines by partially grouping them. This research deals with situations where different groups of machines performing the same operation require different processing times. This work proposes a solution that is comprised of two phases. In first phase, demand is divided into batches and then operations are allocated. In Phase II, the processing time of the operation is different for each machine group, which is composed of the same identical machines; however, these machines can perform different sets of operations if tooled differently. In partial grouping, each machine is tooled differently, but they can assist one another in processing each individual operation.

The assembly line balancing problem has been focused by many research works because the efficient management of the assembly line might influence not only the quality of the products but also the working conditions for the workers. This paper deals with U

This paper is concerned with the integrated problem of line balancing and model sequencing in mixed model assembly lines(MMALBS), which is important to efficient utilization of the lines. In the problem, we deal with the objective of minimizing the overall line length To apply the GAs to MMALBS problems, we suggest a GA representation which suitable for its problems, an efficient decoding technique for the objective, and genetic operators which produce feasible offsprings. Extensive experiments are carried out to analyze the performance of the proposed algorithm. The computational results show that our algorithm is promising in solution quality.

This paper is concerned with the integrated problem of line balancing and model sequencing in mixed model assembly lines(MMALBS), which is important to efficient utilization of the lines. In the problem, we deal with the objective of minimizing the overall line length To apply the GAs to MMALBS problems, we suggest a GA representation which suitable for its problems, an efficient decoding technique for the objective, and genetic operators which produce feasible offsprings. Extensive experiments are carried out to analyze the performance of the proposed algorithm. The computational results show that our algorithm is promising in solution quality.

This paper presents a new method that can efficiently solve the integrated problem of line balancing and model sequencing in mixed-model U-lines (MMULs). Balancing and sequencing problems are important for an efficient use of MMULs and are tightly related with each other. However, in almost all the existing researches on mixed-model production lines, the two problems have been considered separately. A genetic algorithm for balancing and sequencing in mixed-model U line is proposed. A presentation method and genetic operators are proposed. Extensive experiments are carried out to analyze the performance of the proposed algorithm. The computational results show that the proposed algorithm is promising in solution quality.

In this thesis presents line balancing problems of two-sided and mixed model assembly line widely used in practical fields using genetic algorithm for reducing throughput time, cost of tools and fixtures and improving flexibility of assembly lines. Two-sided and mixed model assembly line is a special type of production line where variety of product similar in product characteristics are assembled in both sides. This thesis proposes the genetic algorithm adequate to each step in tow-sided and mixed model assembly line with suitable presentation, individual, evaluation function, selection and genetic parameter. To confirm proposed genetic algorithm, we apply to increase the number of tasks in case study. And for evaluation the performance of proposed genetic algorithm, we compare to existing algorithm of one-sided and mixed model assembly line. The results show that the algorithm is outstanding in the problems with a larger number of stations or larger number of tasks.

In this thesis presents line balancing problems of two-sided and mixed model assembly line widely used in practical fields using genetic algorithm for reducing throughput time, cost of tools and fixtures and improving flexibility of assembly lines. Two-sided and mixed model assembly line is a special type of production line where variety of product similar in product characteristics are assembled in both sides. This thesis proposes the genetic algorithm adequate to each step in tow-sided and mixed model assembly line with suitable presentation, individual, evaluation function, selection and genetic parameter. To confirm proposed genetic algorithm, we apply to increase the number of tasks in case study. And for evaluation the performance of proposed genetic algorithm, we compare to existing algorithm of one-sided and mixed model assembly line. The results show that the algorithm is outstanding in the problems with a larger number of stations or larger number of tasks.

Multiple U-typed production lines are increasingly accepted in modern manufacturing system for the flexibility to adjust to changes in demand. This paper considers multiple U line balancing with the objective of minimizing cycle time considering of moving time of workforce given the number of workstation. Like the traditional line balancing problem this problem is NP-hard. In this paper, we show how genetic algorithm can be used to solve multiple U line balancing. For this, an encoding and a decoding method suitable to the problem are presented. Proper genetic operators are also employed. Extensive computational experiments are carried out to show the performance of the proposed algorithm. The computational results show that the algorithm is promising in solution quality.

지속 가능한 신재생 에너지에 대한 수요는 전 세계적으로 증가하는 반면 공급은 제한적인 상황이다. 본 논문에서는 대전광역시 내에서 발생하는 가연성 생활폐기물로부터 생산되는 고형연료(SRF)를 전용 소각로에서 소각하여, 생산된 스팀을 터빈 발전기를 이용하여 전기를 생산하고 잉여스팀을 대덕산업단지에 공급하고, 음식물류폐기물 및 음식물 쓰레기 침출수의 혐기성 소화로 인해 발생기는 바이오가스를 대전열병합발전(주)에 공급하는 방안에 대한 경제적 타당성을 분석하였다. 잉여 바이오가스 공급의 경우 음식물류폐기물 및 음식물 침출수 재활용 과정에서 발생하는 바이오가스 26,300m³/day 가운데 23,200m³/day를 대전열병합발전(주)에 공급하도록 하고 잉여스팀 공급의 경우 2023년에 약 204,000ton/yr까지 수요가 꾸준히 증가할 것으로 예상되므로 25.7ton/hr의 증기를 155day/yr 기준으로 공급할 것으로 예상된다. 대덕산업단지의 추가 증기 수요는 연간 101,537ton으로 추정된다. 바이오가스 구매 비용은 생산 단가의 30%로 계획하고 잉여 바이오가스의 예상 공급량은 23,200m³/day로 대전열병합발전(주)의 기존 소비량인 18,627m³/day보다 많으나, 대덕산업단지에 공급되는 잉여스팀의 연간 예상 공급량은 96,000ton/yr로 대덕산업단지의 추가 증기 수요인 101,537ton/yr보다 적다. 이것은 잉여 자원의 순환이 대전의 에너지 수요의 균형을 이룰 수 있는 가능성을 나타낸다. 이를 통해, 잉여스팀 활용 측면에서 대전광역시는 50%의 매출 발생, 대전열병합발전(주)은 40%의 부가적 이윤 창출, 대덕산업단지와 인근 지역사회는 10% 비용 절감 효과를 기대할 수 있으며, 잉여 바이오가스 활용 측면에서 대전광역시는 30%의 매출 발생, 대전열병합발전(주)은 60%의 부가적 이윤 창출, 대덕산업단지와 인근 지역 사회는 10%의 비용 절감 효과를 기대할 수 있다. 또한 화석연료 사용 절감을 통하여 그에 대한 에너지 의존도를 줄이고 온실가스 감축 효과로 인한 국가 환경에너지 정책에 기여하여 환경적인 측면으로 우수한 성과를 얻을 수 있으며, 지역 기업의 경쟁력 강화를 도모하고 에너지 자금 사용에 따른 법인세 감면 및 온실가스 감축 사업을 통한 수익창출을 기대할 수 있다. 본 연구는 지역난방을 지역 사회에 공급하고 스팀을 에너지원으로 대덕산업단지에 공급하기 위한 에너지 네트워크를 구축하기 위해 수행되었다. 잉여스팀 및 바이오가스의 사용과 관련된 초기 투자비용, 운영 및 유지 보수비용이 계산되었고 NPV 및 IRR 분석 결과 경제적으로 실현 가능함이 밝혀졌다.

많은 사용자가 함께 즐기는 온라인 게임(MMOGs)에서 IoT의 확장은 서버에 엄청난 부하를 지 속적으로 증가시켜, 모든 데이터들이 Big-Data화 되어가는 환경에 있다. 이에 본 논문에서는 딥러 닝 기법 중에서 가장 많이 사용되는 Sparse Autoencoder와 이미 잘 알려진 부하분산 알고리즘 (ProGReGA-KF)을 결합한다. 기존 알고리즘 ProGReGA-KF과 본 논문에서 제안한 알고리즘을 이동 안정성으로 비교하였고, 제안한 알고리즘이 빅-데이터 환경에서 좀 더 안정적이고 확장성이 있 음 시뮬레이션을 통해 보였다.

The purpose of this study is to develop a motion generation technique based on a double inverted pendulum model (DIPM) that learns and reproduces humanoid robot (or virtual human) motions while keeping its balance in a pattern similar to a human. DIPM consists of a cart and two inverted pendulums, connected in a serial. Although the structure resembles human upper- and lower-body, the balancing motion in DIPM is different from the motion that human does. To do this, we use the motion capture data to obtain the reference motion to keep the balance in the existence of external force. By an optimization technique minimizing the difference between the motion of DIPM and the reference motion, control parameters of the proposed method were learned in advance. The learned control parameters are re-used for the control signal of DIPM as input of linear quadratic regulator that generates a similar motion pattern as the reference. In order to verify this, we use virtual human experiments were conducted to generate the motion that naturally balanced.

In this paper, we report a self-balancing robot wheelchair which has the capability of keeping upright posture regardless of the terrain inclination in terms of the three dimensional balancing motion. It has the mobility of five degrees of freedom, where pitching, yawing, and forward motions are generated by the two-wheeled inverted pendulum mechanism and the rolling and vertical motions are implemented by the movement of the tilting mechanism. Several design considerations are suggested for the sliding type vehicle body, wheel actuator module, tilting actuator module, power and control system, and the riding module.

This paper presents interaction force control between a balancing robot and a human operator. The balancing robot has two wheels to generate movements on the plane. Since the balancing robot is based on position control, the robot tries to maintain a desired angle to be zero when an external force is applied. This leads to the instability of the system. Thus a hybrid force control method is employed to react the external force from the operator to guide the balancing robot to the desired position by a human operator. Therefore, when an operator applies a force to the robot, desired balancing angles should be modified to maintain stable balance. To maintain stable balance under an external force, suitable desired balancing angles are determined along with force magnitudes applied by the operator through experimental studies. Experimental studies confirm the functionality of the proposed method.