• 한국기계기술학회지
• /
• 제20권6호
• /
• pp.830-835
• /
• 2018

The tubular link chain conveyor works under very extreme conditions such as high tensile load, friction, and dangerous operating environments. In this study, we propose an optimal design plan for reducing cost and improving performance through weight reduction of tubular link chain conveyors for sludge transport. For light weight of tubular link chain conveyor, the optimization software using SHERPA algorithms, HEEDS was used in conjunction with ANSYS Mechanical V14.5, which is widely used in structural analysis, to achieve optimal tubular link chain. Through the optimization process, 19% light weight was achieved.

• ETRI Journal
• /
• 제32권3호
• /
• pp.362-369
• /
• 2010

While the elliptic curve cryptosystem (ECC) is getting more popular in securing numerous systems, implementations without consideration for side-channel attacks are susceptible to critical information leakage. This paper proposes new power attack countermeasures for ECC over Koblitz curves. Based on some special properties of Koblitz curves, the proposed methods randomize the involved elliptic curve points in a highly regular manner so the resulting scalar multiplication algorithms can defeat the simple power analysis attack and the differential power analysis attack simultaneously. Compared with the previous countermeasures, the new methods are also noticeable in terms of computational cost.

• Computers and Concrete
• /
• 제28권6호
• /
• pp.533-547
• /
• 2021

Calculating the shear capacity of slender reinforced concrete beams without shear reinforcement was the subject of numerous studies, where the eternal problem of developing a single relationship that will be able to predict the expected shear capacity is still present. Using experimental results to extrapolate formulae was so far the main approach for solving this problem, whereas in the last two decades different research studies attempted to use artificial intelligence algorithms and available data sets of experimentally tested beams to develop new models that would demonstrate improved prediction capabilities. Given the limited number of available experimental databases, these studies were numerically restrained, unable to holistically address this problem. In this manuscript, a new approach is proposed where a numerically generated database is used to train machine-learning algorithms and develop an improved model for predicting the shear capacity of slender concrete beams reinforced only with longitudinal rebars. Finally, the proposed predictive model was validated through the use of an available ACI database that was developed by using experimental results on physical reinforced concrete beam specimens without shear and compressive reinforcement. For the first time, a numerically generated database was used to train a model for computing the shear capacity of slender concrete beams without stirrups and was found to have improved predictive abilities compared to the corresponding ACI equations. According to the analysis performed in this research work, it is deemed necessary to further enrich the current numerically generated database with additional data to further improve the dataset used for training and extrapolation. Finally, future research work foresees the study of beams with stirrups and deep beams for the development of improved predictive models.

• 한국항공우주학회지
• /
• 제36권1호
• /
• pp.86-91
• /
• 2008

최근 항공기 예비설계 단계에서 여러 분야의 설계요소를 동시에 고려하는 다분야 통합설계(Multidisciplinary Design) 기법이 요구되고 있다. 본 연구에서는 CATIA를 기반으로 항공기 형상에 대한 공력, 구조, RF 스텔스의 성능 분석을 위한 통합시스템을 구축하였다. CATIA를 이용하여 공력, 구조, RF 스텔스 해석을 위한 동일 사각격자를 생성한 후 생성된 격자를 이용하여 공력특성과 구조변위를 계산하였다. 레이더 포착면적 (RCS) 계산은 사각격자로부터 삼각형 격자를 추가로 생성하여 수행하였다. 이 과정 중 각 해석분야의 입력 파일을 생성할 수 있는 변환코드를 개발하였다. 세부분야 해석기법으로 패널 코드 PANAIR, 전산구조해석 코드 NASTRAN, PO 기법에 기초한 RCS 해석코드를 사용하였다.

• 한국통신학회논문지
• /
• 제25권1B호
• /
• pp.15-30
• /
• 2000

광전송망은 망의 장애에 미리 대비할 수 있도록 신뢰성과 생존도를 고려하여 설계하여야 한다. 동기식 다중화의 국제표준인 SDH(Synchronous Digital Hierarchy) 방식의 광전송망은 장애 발생시 이를 자동적으로 복구할 수 있도록 생존도를 고려한 여러 가지 망 재구성 기법들을 제공한다. 그 중 SHR(Self-Healing Ring)은 링의 형태로 망을 구성한 시스템으로 뛰어난 생존도와 경제성으로 통신사업자들의 기간통신망 구조로 활발히 채택되고 있다. 이 때, 링들이 설치되는 지역적 범위가 넓어지고 수요가 증가되면, 다수의 링들이 중첩되어 상호연결되는 다중링(Multi-ring) 구조로 발전하게 된다. 본 연구에서는 수요의 분할처리를 허용하는 BSHR(Bidirectional SHR)들이 연접한 다중링 설계 문제를 다룬다. 이 문제는 망구축용량을 최소로하는 관점에서 생존도가 보장되는 부하 최적화 문제가 되며, 혼합정수계획법에 의한 정식화가 가능하다. 그러나, 현실문제에서는 망구축용량의 최소화 뿐만아니라 노드가 수요로 다계위 수요가 주어지며 중계노드에서의 다중화 번들링도 같이 고려되어야 하므로 수리모형으로는 해결할 수 없는 복잡한 문제가 된다. 따라서 이 叩걋\ulcorner고려사항들을 반영한 최적근사해를 실시간내에 구할 수 있는 휴리스틱 알고리즘을 개발하게 되었다. 사례연구에서는 휴리스틱 알고리즘을 적용한 실제 망설계 문제를 설명하였고, 망구성 방법에 따른 차이와 다중화 번들링 여부로 인한 실험 결과를 비교하였다.

• 한국산업융합학회 논문집
• /
• 제20권1호
• /
• pp.74-80
• /
• 2017

This study aimed to evaluate the validity of an exhausted injector design for filtration system and the performance characteristics thereof. The evaluation was intended through computational fluid dynamics(CFD) analysis based on computer simulation rather than through prototype fabrication and testing. Furthermore, the design of experiment was used to create an experimental design table by which the reaction characteristics of response factors were analyzed for design parameters. All experiments were substituted with computer simulations. Lastly, an optimal design model for the injection tubes was determined based on response surface method algorithms.

• 상하수도학회지
• /
• 제12권2호
• /
• pp.50-58
• /
• 1998

Genetic Algorithm (GA) consists of selection, reproduction, crossover and mutation processes and many parameters including population size, generation number, the probability of crossover (Pc) and the probability of mutation (Pm). Determining values of the parameters is found critical in the whole optimization process and a sensitivity analysis with them seems mandatory. This paper tries to demonstrate such importance of sensitivity analysis of GA using an example water supply tunnel network of the New York City. For optimization of the network with GA, Pc and Pm vary from 0.5 to 0.9 by an increment of 0.1 and from 0.01 to 0.05 by an increment of 0.01, respectively, while fixing both the population size and the generation number to 100. This sensitivity analysis results in an optimum design of 22.3879 million dollars at the values of 0.8 and 0.01 for Pc and Pm, respectively. In addition, the probability of recombination (Pr) is introduced to check its applicability in the GA optimization of water distribution network. When Pr is 0.05 with the same values of Pc and Pm as above, the optimum design costs 20.9077 million dollars. This is lower than the cost of 22.3879 million dollars for the case of not using Pr by 6.6%. These results indicate that conducting a sensitivity analysis with parameter values and using Pr are useful in the optimization of WDN.

• 한국추진공학회지
• /
• 제26권3호
• /
• pp.22-31
• /
• 2022

기존 Finocyl 그레인 형상 설계는 임의의 형상을 가정하고 Burn-back 해석을 통해 요구조건 만족 여부 확인, 형상 수정의 과정을 반복한다. 이와 같은 설계는 작업자의 설계 피로도를 높이고, 역량에 따라 설계 완성도가 상이한 문제를 가지고 있다. 이에 본 연구는 기존 설계의 문제를 해결하기 위해 Burn-back 자동화 해석 프로그램에 유전 알고리즘을 적용한 최적 설계 방법을 개발하였다. 안정적인 탐색을 위해 가변형 Offset, 작도 불능 형상 변수 제어 기법을 개발하고, 중립형 및 이중추력형 면적선도 형상을 설계하여 성능을 검증하였다.

• 한국소성가공학회:학술대회논문집
• /
• 한국소성가공학회 2006년도 춘계학술대회 논문집
• /
• pp.438-445
• /
• 2006

Due to the complicated character of the hemming process for automobile panels, it is very difficult to set up a consistent and reliable die design guide rule that does not require subtle decision of experienced experts during design stage and multiple trials during hemming die making. In this paper an automatic die design system of hemming units is pursued by presenting some algorithms, in which geometric data and constraints of the hemming units were converted to formula. two kinds of hemming units, 2-link type and 4-link type, were selected as examples and the geometries and kinematics of all parts were analyzed to build the design algorithm.

• Journal of Information Processing Systems
• /
• 제15권4호
• /
• pp.833-852
• /
• 2019

In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.