• 한국안광학회지
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• 제9권2호
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• pp.353-359
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• 2004

Pseudomonas aeruginosa에 대한 soft contact lens 다목적 용액(multi purpose solution, MPS)의 항균효과의 검정을 탁도측정법에 의해 실시하였다. Muller Hinton Broth 액체배지에 pseudomonas aeruginosa를 배양한 후 5개사의 5종류의 MPS를 이용해 각각 시간별로 처리해 대조군과 비교하여 항균효과를 비교해 본 결과 한 제품을 제외하고는 거의 비슷한 효과를 나타내었다. 또한 동일한 조건하에서 MPS의 항균효과는 구성성분, pH에 따라 달라질 수 있으며 5개 회사제품 중 4개에서 pseudomonas aeruginosa에 대한 항균효과가 있는 것으로 나타났다.

• 한국안광학회지
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• 제19권2호
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• pp.179-188
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• 2014

목적: 본 연구에서는 계면활성성분 및 함유량이 다른 콘택트렌즈 관리용액의 세척효율 및 가시광선투과율에 미치는 영향을 알아보고자 하였다. 방법: 다른 재질의 소프트렌즈(etafilcon A 및 hilafilcon B 재질)에 인공누액을 이용하여 각각 단백질을 침착시킨 후 계면활성성분 및 함유량이 다른 6종류의 다목적용액을 사용하여 세척한 후 그에 따른 세척효율 및 광투과율을 비교하였다. 결과: Etafilcon A 재질 렌즈의 경우 다목적용액으로 문지르기를 하여 세척하였을 때 세척효율은 다목적용액의 계면활성성분 농도와 표면장력에 따라 약 23~43%로 다양하게 나타났으며, 계면활성성분 이외에 과산화수소를 함유하는 다목적용액으로 세척 시 가장 높은 세척효율을 보였으나 렌즈에 잔존하는 단백질량이 많았다. 다목적용액으로 세척 후 가시광선투과율은 89.8%~90.8%으로 나타났다. Hilafilcon B 재질 렌즈에서는 인공누액에 7일간 배양하더라도 침착되는 단백질양이 매우 적어 etafilcon A 재질 렌즈의 5~10% 수준의 단백질량을 보였으며 가시광선투과율 감소도 크지 않았다. 다목적용액으로 문질러 세척하였을 경우 45.4~67.4%의 세척효율을 보였으나 etafilcon A 재질 렌즈와는 다른 세척효율 순서를 보였으며, 광투과율은 새 렌즈 수준으로 회복되었다. 결론: 이상의 결과로 소프트렌즈의 단백질 침전물의 올바른 관리를 위하여서는 다목적용액의 계면활성성분이나 원리에 대한 이해를 바탕으로 렌즈 재질과 침착된 단백질량에 따라 적절한 다목적용액을 선택하여야 하며, 제조사의 가이드라인과 상관없이 문지르기를 하여 관리하는 것이 보다 효율적임을 알 수 있었다.

• 한국안광학회지
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• 제20권1호
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• pp.35-42
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• 2015

목적: 콘택트렌즈 재질 및 렌즈에 침착된 단백질 종류에 따른 균의 흡착력을 비교하고 관리용품의 살균력 차이를 측정하고자 하였다. 방법: FDA 평가기준 및 방법인 Disinfection Efficacy Testing의 Part 2. Regimen Procedure For Disinfecting Regimens에 따라 균 흡착 및 관리용품의 살균력 측정실험을 실시하였다. 결과: 포도상구균을 제외한 녹농균, 세라티아균, 칸디다균은 etafilcon A 렌즈에 더 많이 흡착되었으며, 4종의 다목적용액은 칸디다균을 제외한 모든 균에서 거의 완벽한 살균력을 나타냈다. 눈물 단백질을 침착시킨 렌즈에서 세라티아를 제외한 모든 균은 알부민 침착 렌즈에서의 흡착이 많았으며, 다목적용액의 살균력은 라이소자임 침착 렌즈에 흡착된 균보다 알부민 침착 렌즈에 흡착된 균에서 높은 것으로 나타났다. 또한, 균의 종류에 따라 다목적 용액의 살균력이 달랐다. 결론: 균의 종류, 콘택트렌즈 재질, 침착된 눈물 단백질의 종류가 콘택트렌즈에 흡착되는 균의 양에 영향을 주며, 눈물 단백질의 침착은 다목적용액에 의한 살균력에 변화를 초래할 수 있음을 밝혔다. 이러한 살균력에 영향을 주는 요인에 의해 콘택트렌즈 위생상태가 달라지며 부작용 발생 여부가 영향을 받을 수 있음을 제안한다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.656-657
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• 2015

Recently, Multi-Objective Optimization of design elements is an important issue in building design. Design variables that considering the specificities of the different environments should use the appropriate algorithm on optimization process. The purpose of this study is to compare and analyze the optimal solution using three evolutionary algorithms and energy modeling simulation. This paper consists of three steps: i)Developing three evolutionary algorithm model for optimization of design elements ; ii) Conducting Multi-Objective Optimization based on the developed model ; iii) Conducting comparative analysis of the optimal solution from each of the algorithms. Including Non-dominated Sorted Genetic Algorithm (NSGA-II), Multi-Objective Particle Swarm Optimization (MOPSO) and Random Search were used for optimization. Each algorithm showed similar range of result data. However, the execution speed of the optimization using the algorithm was shown a difference. NSGA-II showed the fastest execution speed. Moreover, the most optimal solution distribution is derived from NSGA-II.

• 산업공학
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• 제17권spc호
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• pp.28-36
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• 2004

The main purpose of this study is to find out the optimal solution of the vehicle routing problem considering heterogeneous vehicle(s), double-trips, and multi depots. This study suggests a mathematical programming model with new numerical formula which considers the amount of delivery and sub-tour elimination and gives optimal solution by using OPL-STUDIO(ILOG). This study also suggests modified genetic algorithm which considers the improvement of the creation method for initial solution, application of demanding point, individual and last learning method in order to find excellent solution, survival probability of infeasible solution for allowance, and floating mutation rate for escaping from local solution. The suggested modified genetic algorithm is compared with optimal solution of the existing problems. We found the better solution rather than the existing genetic algorithm. The suggested modified genetic algorithm is tested by Eilon and Fisher data(Eilon 22, Eilon 23, Eilon 30, Eilon 33, and Fisher 10), respectively.

• 유통과학연구
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• 제15권2호
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• pp.15-20
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• 2017

Purpose - This paper aims to suggest a delivery constrained internet shopping optimization problem (DISOP) which must be solved for online recommendation system to provide a customized service considering cost and delivery conditions at the same time. Research design, data, and methodology - To solve a (DISOP), we propose a multi-objective formulation and a solution approach. By using a commercial optimization software (LINDO), a (DISOP) can be solved iteratively and a pareto optimal set can be calculated for real-sized problem. Results - We propose a new research problem which is different with internet shopping optimization problem since our problem considers not only the purchasing cost but also delivery conditions at the same time. Furthermore, we suggest a multi-objective mathematical formulation for our research problem and provide a solution approach to get a pareto optimal set by using numerical example. Conclusions - This paper proposes a multi-objective optimization problem to solve internet shopping optimization problem with delivery constraint and a solution approach to get a pareto optimal set. The results of research will contribute to develop a customized comparison and recommendation system to help more easy and smart online shopping service.

• Industrial Engineering and Management Systems
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• 제8권1호
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• pp.29-36
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• 2009

We present two local-search based metaheuristics for the multi-source capacitated facility location problem. In such a problem, each customer's demand can be supplied by one or more facilities. The problem is NP-hard and the number of locations in the optimal solution is unknown. To keep the search process effective, the proposed methods adopt the following features: (1) a multi-exchange neighborhood structure, (2) a tabu list that keeps track of recently visited solutions, and (3) a multi-start to enhance the diversified search paths. The transportation simplex method is applied in an efficient manner to obtain the optimal solutions to neighbors of the current solution under the algorithm framework. Two in-and-out selection rules are also proposed in the algorithms with the purpose of finding promising solutions in a short computational time. Our computational results for some of the benchmark instances, as well as some instances generated using a method in the literature, have demonstrated the effectiveness of this approach.

• 한국BIM학회 논문집
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• 제5권4호
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• pp.11-22
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• 2015

Government efforts for green growth policy initiatives demand low-carbon technologies in the road construction industry. The purpose of this paper is to develop an algorithm of a road alignment design solution for establishing the multi-dimensional information, and to calculate carbon emission quantity due to the geometric design elements in the planning phase of road alignment. The paper developed a calculation method for carbon emission quantity by drawing a speed profile reflected in the operating speed, acceleration and deceleration, which are majors factor of carbon emissions while driving and by applying a carbon emission factor. From this effort, it enabled alignment planning to reduce carbon emission. Object-based parametric design methods of the cross-sections were proposed for alignment planning, and the paper demonstrated a BIM-based road alignment planning solution. The proposed solutions can provide multi-dimensional information on carbon emission quantity and cross section elements through driving simulation. It is expected to allow construction of eco-friendly roads by deriving optimal road alignment to minimize environmental costs.

• 제어로봇시스템학회논문지
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• 제18권9호
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• pp.823-829
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• 2012

An excitation table is commonly used for vibration and ride tests for parts or assemblies of automobiles, aircrafts, or other heavy systems. The authors have analyzed several kinematic properties of an excitation table that is under development for heavy transport vehicles. It consists of one table and 7 linear hydraulic actuators. The authors have performed mobility analysis, inverse kinematics, forward kinematics, and singularity analysis. Especially, we have proposed a fast forward kinematic solution considering the limited motion of the excitation table. On the assumption that the motion variables such as rotation angles and displacements are small, the forward kinematic problem is converted to the observer problem of a linear system. This provides a fast solution. Also we have verified that there are no singularity points in the working range by numerical analysis.

• 품질경영학회지
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• 제47권4호
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• pp.701-711
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• 2019

Purpose: The problem of optimizing redundancy allocation in multi-level systems is considered when each item in a multi-level system has alternative items with the same function. The number of redundancy of multi-level system is allocated to maximize the reliability of the system under path set and cost limitation constraints. Methods: Based on cost limitation and path set constraints, a mathematical model is established to maximize system reliability. Particle swarm optimization is employed for redundant allocation and verified by numerical experiments. Results: Comparing the particle swarm optimization method and the memetic algorithm for the 3 and 4 level systems, the particle swarm optimization method showed better performance for solution quality and search time. Particularly, the particle swarm optimization showed much less than the memetic algorithm for variation of results. Conclusion: The proposed particle swarm optimization considerably shortens the time to search for a feasible solution in MRAP with path set constraints. PS optimization is expected to reduce search time and propose the better solution for various problems related to MRAP.