• 한국정보통신학회논문지
• /
• 제6권1호
• /
• pp.6-13
• /
• 2002

본 논문은 선형 행렬 부등식 (LMI) 기법을 이용하여, 도립진자 시스템의 안정화 조절 제어 및 추종 제어 특성을 만족하는 다목적 제어기를 선계하기 위하여, 도립진자의 모델을 복수개의 모델을 원소로 가진 폴리토프 모델(polytopic model)로 표현하고, 극점 배치 Η$_2$/Η$_{\infty}$ 제어기를 설계하는 과정을 예시한 것이다. 도립진자의 진폭이 비교적 큰 경우, 하나의 동작점에서 구한 선형 시불변 모델의 오차를 불확실성으로 고려하여 설계한 제어기가 가지기 쉬운 보수성(conservativeness)을 극복하기 위하여, 도립진자 시스템에 대하여 다수의 경사 각도를 선형화의 동작점으로 취하여 복수개의 선형시불변 모델로써 이루어진 하나의 폴리토프 모델(polytopic model)을 구성하였다. 이 모델에 대하여, 볼록 최적화(convex optimization) 알고리즘을 사용하는 LMI 소프트웨어를 사용하여 다목적 성능을 만족하는 제어기를 설계하였다. 폴리토프 모델에 대하여 설계된 제어기로써 제어된 도립 진자는, 비교적 큰 경사 각도의 초기치에 대한 실험에서, 안정하게 연직 위치로 복원되는 제어 효과를 관찰할 수 있었다.

• Structural Engineering and Mechanics
• /
• 제83권5호
• /
• pp.693-707
• /
• 2022

Bonded joints have proven their performance against conventional joining processes such as welding, riveting and bolting. The single-lap joint is the most widely used to characterize adhesive joints in tensile-shear loadings. However, the high stress concentrations in the adhesive joint due to the non-linearity of the applied loads generate a bending moment in the joint, resulting in high stresses at the adhesive edges. Geometric optimization of the bonded joint to reduce this high stress concentration prompted various researchers to perform geometric modifications of the adhesive and adherends at their free edges. Modifying both edges of the adhesive (spew) and the adherends (bevel) has proven to be an effective solution to reduce stresses at both edges and improve stress transfer at the inner part of the adhesive layer. The majority of research aimed at improving the geometry of the plate and adhesive edges has not considered the effect of temperature and water absorption in evaluating the strength of the joint. The objective of this work is to analyze, by the finite element method, the stress distribution in an adhesive joint between two 2024-T3 aluminum plates. The effects of the adhesive fillet and adherend bevel on the bonded joint stresses were taken into account. On the other hand, degradation of the mechanical properties of the adhesive following its exposure to moisture and temperature was found. The results clearly showed that the modification of the edges of the adhesive and of the bonding agent have an important role in the durability of the bond. Although the modification of the adhesive and bonding edges significantly improves the joint strength, the simultaneous exposure of the joint to temperature and moisture generates high stress concentrations in the adhesive joint that, in most cases, can easily reach the failure point of the material even at low applied stresses.

• 한국수자원학회논문집
• /
• 제55권11호
• /
• pp.887-901
• /
• 2022

개별 강우-유출 사상을 대상으로 최적 매개변수를 산정하는 경우 사상별로 매개변수가 서로 다르며 물리적인 범위를 중심으로 변동성이 커 유역의 대표 매개변수를 결정하는데 어려움이 있다. 매개변수 추정 시 변동성 증가는 강우의 시공간적 변동성과 함께, 유역 내 일부 홍수량 산정지점 기준으로 강우-유출 자료만이 이용 가능하여 매개변수의 식별성(identifiability)이 매우 낮다. 추정되는 매개변수의 변동성 확대에 따른 문제점을 개선하기 위하여, 본 연구에서는 다수의 사상들을 동시에 고려한 매개변수 최적화 방법을 제안하였으며, NSE를 목적함수로 하여 매개변수를 최적화하였다. 개별 사상들을 통합적으로 고려하여 최적매개변수를 산정하는 경우 매개변수의 물리적인 특성을 유지함과 동시에 유역의 공동 매개변수 효율적으로 추정이 가능하였다. 개별 매개변수와 공통 매개변수 NSE의 차이가 최대 0.08 정도를 나타내며, 홍수량 재현 측면에서도 개별적으로 최적화를 수행한 경우와 유사하거나 보다 개선된 결과를 확인할 수 있었다.

• 생물환경조절학회지
• /
• 제7권4호
• /
• pp.290-297
• /
• 1998

겨울철 온실의 기본적인 열에너지원인 일사를 최대한 확보하도록 하는 은실의 지붕형상을 결정하기 위해 유전알고리즘 및 광투과율 전산모델을 이용한 최적화기법을 이용하여 설치지역, 피복재료특성, 온실의 기본치수등이 주어졌을 때 지붕경사각, 경간폭비의 최적조합을 결정할 수 있도록 하는 최적설계를 수행하였다. 수원지방에 위치한 경간폭 6m의 2연동 동서동 온실 및 단동 온실을 가정하여 최적화를 수행한 결과 경사각, 폭비 순으로 2연동, 단동 온실에 대해 각각 40.861≒40 $_。 / , 0.4806≒0.5, 37.490≒37 $_。 / , 0.7748≒0.78의 결과를 얻을 수 있었다. 광투과율 문제를 예로 적용해 본 결과 직접 전산모델을 호출하여 최적화를 수행하는 유전알고리즘의 기법은 온실환경의 해석을 위해 연구되어온 다양한 분야의 전산모델들을 종합적인 온실의 최적설계에 활용하도록 하는데 유용한 기법이 될 것으로 판단되었다.판단되었다.

• 한국추진공학회:학술대회논문집
• /
• 한국추진공학회 2008년 영문 학술대회
• /
• pp.283-292
• /
• 2008

The foremost criterion in the design of a Satellite Launch Vehicle(SLV) is its performance capability to boost the designated payload to the desired mission orbit; it starts from focusing on the SLV configuration to achieve the velocity requirements($}\Delta}V$) for the mission. In this paper we review an analytical approach which is suitable enough for preliminary conceptual design and is used previously to optimize stage configurations for Two Stage to Orbit SLV for Low Earth Orbit(LEO) Missions; we have extended this approach to Three Stage to Orbit SLV and compared different propellant options for the mission. The objective is to minimize the Gross Lift off Weight(GLOW). The primary performance figures of merit were the total inert weight of the SLV and the payload weight that the SLV could lift into LEO, given candidate propulsion systems. The optimization is achieved by configuring the $}\Delta}V$ between stages. A comparison of configurations of single-stage and multi-stage SLVs is made for different propellants. Based upon the optimized stage configurations a comparative performance analysis is made between Liquid and Solid fueled SLV. A 3 degree of freedom trajectory-analysis program is modeled in SIMULINK and used to conduct the performance analysis. Furthermore, a cost analysis is performed on our stage optimized SLVs. The cost estimation relationships(CER) used give us a comparison of development and fabrication costs for the Liquid vs. Solid fueled SLV in man years. The pros and cons of the production, operation ability, performance, responsiveness, logistics, price, shelf life, storage etc of both Solid and Liquid fueled SLVs are discussed. The statistics and data are used from existing or historical(real) SLV stages.

• International Journal of Computer Science & Network Security
• /
• 제21권12호
• /
• pp.248-256
• /
• 2021

Now that we're in the big data era, data has taken on a new significance as the storage capacity has exploded from trillion bytes to petabytes at breakneck pace. As the use of cloud computing expands and becomes more commonly accepted, several businesses and institutions are opting to store their requests and data there. Cloud storage's concept of a nearly infinite storage resource pool makes data storage and access scalable and readily available. The majority of them, on the other hand, favour a single cloud because of the simplicity and inexpensive storage costs it offers in the near run. Cloud-based data storage, on the other hand, has concerns such as vendor lock-in, privacy leakage and unavailability. With geographically dispersed cloud storage providers, multicloud storage can alleviate these dangers. One of the key challenges in this storage system is to arrange user data in a cost-effective and high-availability manner. A multicloud storage architecture is given in this study. Next, a multi-objective optimization problem is defined to minimise total costs and maximise data availability at the same time, which can be solved using a technique based on the non-dominated sorting genetic algorithm II (NSGA-II) and obtain a set of non-dominated solutions known as the Pareto-optimal set.. When consumers can't pick from the Pareto-optimal set directly, a method based on Principal Component Analysis (PCA) is presented to find the best answer. To sum it all up, thorough tests based on a variety of real-world cloud storage scenarios have proven that the proposed method performs as expected.

• Journal of Biosystems Engineering
• /
• 제41권1호
• /
• pp.34-42
• /
• 2016

Purpose: This study was performed to improve the drying quality and drying rate of ginseng slices by combining microwave and far-infrared drying techniques. Methods: Based on single-factor experiments and analyses, a quadratic regression orthogonal rotation combination design was adopted to study the effects of the moisture content at the conversion point between the microwave and far-infrared techniques, the ginseng slice thickness and the far-infrared drying temperature on the chip drying time, the surface color difference value, the nutritional composition and the surface shrinkage rate index. Results: Compared to the far-infrared drying alone, the combined microwave and far-infrared drying resulted in an increase in the saponin content of the ginseng slices and reductions in the drying time, surface color difference, and shrinkage rate. Conclusions: We established a mathematical model of the relationships between the surface shrinkage rate index and the experimental factors using the multi-objective nonlinear optimization method to determine the optimal parameter combination, which was confirmed to be the following: microwave and far-infrared moisture contents of 65%, a ginseng slice thickness of 1 mm, and a far-infrared drying temperature of $54^{\circ}C$.

• 대한교통학회지
• /
• 제17권2호
• /
• pp.127-135
• /
• 1999

간선도로상에서의 교통혼잡해소를 위해서 연동화기법이 많이 사용되지만 기존 모형들은 간선도로를 한 개의 교통축으로 하여 신호를 최적화해주기 때문에 이들과 교차되는 교차도로는 물론 일반적인 도로망체계에서의 교통흐름을 고려하지 못한다. 그리고 도로망 제어가 가능한 모형의 경우에도 루프로 형성되어야 하고 현시순서에 제약이 따르기 때문에 적용상에 한계가 있다. 따라서 본 연구에서는 이러한 문제들을 해결하고자 이동류들을 이용하여 현시순서를 최적화하고 이를 일반적인 도로망에 적용할 수 있는 모형을 제시하였다. 모형적용 결과 본 모형은 다양한 도로망 구조나 교차로 형태를 반영하여 도로망에서의 차량흐름을 동시에 제어해주는 신호계획를 산정해 낼 수 있었다. 본 모형의 사용으로 일반적인 도로망체계에서 각 도로들의 교통량과 용량을 고려하는 연동처리가 가능해져 도시가로망에서의 교통흐름을 원활히 해줄 것으로 기대된다.

• Industrial Engineering and Management Systems
• /
• 제12권3호
• /
• pp.172-180
• /
• 2013

We herein consider a stochastic multi-item inventory management problem in which a warehouse sells multiple items with stochastic demand and periodic replenishment from a supplier. Inventory management requires the timing and amounts of orders to be determined. For inventory replenishment, trucks of finite capacity are available. Most inventory management models consider either a single item or assume that multiple items are ordered independently, and whether there is sufficient space in trucks. The order cost is commonly calculated based on the number of carriers and the usage fees of carriers. In this situation, we can reduce future shipments by supplementing items to an order, even if the item is not scheduled to be ordered. On the other hand, we can reduce the average number of items in storage by reducing the order volume and at the risk of running out of stock. The primary variables of interest in the present research are the average number of items in storage, the stock-out volume, and the number of carriers used. We formulate this problem as a multi-objective optimization problem. In a numerical experiment based on actual shipment data, we consider the item shipping characteristics and simulate the warehouse replenishing items coordinately. The results of the simulation indicate that applying a conventional ordering policy individually will not provide effective inventory management.

• Journal of Communications and Networks
• /
• 제14권3호
• /
• pp.319-335
• /
• 2012

In this study, we design an applicable model enabling internet protocol television (IPTV) service providers to use a virtual network (VN) for IPTV service delivery. The model addresses the guaranteed service delivery, cost effectiveness, flexible control, and scalable network infrastructure limitations of backbone or IP overlay-based content networks. There are two major challenges involved in this research: i) The design of an efficient, cost effective, and reliable virtual network topology (VNT) for IPTV service delivery and the handling of a VN allocation failure by infrastructure providers (InPs) and ii) the proper approach to reduce the cost of VNT recontruction and reallocation caused by VNT allocation failure. Therefore, in this study, we design a more reliable virtual network topology for solving a single virtual node, virtual link, or video server failure. We develop a novel optimization objective and an efficient VN construction algorithm for building the proposed topology. In addition, we address the VN allocation failure problem by proposing VNT decomposition and reconstruction algorithms. Various simulations are conducted to verify the effectiveness of the proposed VNT, as well as that of the associated construction, decomposition, and reconstruction algorithms in terms of reliability and efficiency. The simulation results are compared with the findings of existing works, and an improvement in performance is observed.