• 제목/요약/키워드: selection approach

검색결과 1,665건 처리시간 0.025초

Study on multi-stage magnetic separation device for paramagnetic materials operated in low magnetic fields

  • F. Mishima;Aoi Nagahama;N. Nomura;S. Nishijima
    • 한국초전도ㆍ저온공학회논문지
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    • 제25권3호
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    • pp.13-17
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    • 2023
  • Magnetic separation technology for small paramagnetic particles has been desired for the volume reduction of contaminated soil from the Fukushima nuclear power plant accident and for the separation of scale and crud from nuclear power plants. However, the magnetic separation for paramagnetic particles requires a superconducting high gradient magnetic separation system applied, hence expanding the bore diameter of the magnets is necessary for mass processing and the initial and running costs would be enormous. The use of high magnetic fields makes safe onsite operation difficult, and there is an industrial need to increase the magnetic separation efficiency for paramagnetic particles in as low a magnetic field as possible. Therefore, we have been developing a magnetic separation system combined with a selection tube, which can separate small paramagnetic particles in a low magnetic field. In the previous technique we developed, a certain range of particle size was classified, and the classified particles were captured by magnetic separation. In this new approach, the fluid control method has been improved in order to the selectively classify particles of various diameters by using a multi-stage selection tube. The soil classification using a multi-stage selection tube was studied by calculation and experiment, and good results were obtained. In this paper, we report the effectiveness of the multi-stage selection tube was examined.

2차원 웨이브렛 패킷에 기반한 필기체 문자인식의 특징선택방법 (A Feature Selection for the Recognition of Handwritten Characters based on Two-Dimensional Wavelet Packet)

  • 김민수;백장선;이귀상;김수형
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제29권8호
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    • pp.521-528
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    • 2002
  • 본 논문에서는 문자인식의 특징선택방법으로 2차원 웨이브렛 패킷을 이용하는 새로운 방법을 제안한다. 영상자료의 특징들로부터 중심특징을 선택하기 위한 차원축소 기법으로 주성분분석 기법이 주로 사용된다. 하지만, 주성분분석 기법은 고유시스템에 의존하기 때문에, 이상치나 잡음 등에 민감할 뿐만 아니라, 전역적 특징만을 선택하는 경향이 있다. 때때로, 영상자료의 중요한 특징이 가장자리 부분이나 뽀족한 부분 같은 지역적 정보일 수 있다. 이러한 경우, 주성분분석 기법은 좋은 결과를 줄 수 없다. 또한 고유시스템은 많은 계산시간을 요구한다. 본 논문에서 원 자료는 2차원 웨이브렛 패킷기저에 의해 변환되고, 최적 판별 기저가 탐색된 후, 그것으로부터 적절한 특징이 선택된다. 주성분분석 기법과 비교하여, 제안된 방법은 웨이브렛의 좋은 특성에 의해 전역적 특징뿐만 아니라 지역적 특징의 선택이 빠른 계산시간으로 이루어진다. 제안된 방법의 성능을 보이기 위해 PCA와 제안된 방법의 인식률의 실험결과가 분석되었다.

Permanent Mycoplasma Removal Removel from Tissue Culture Cells: A Genetic Approach

  • Motr, Gabriele;Preininger, Alexandra;Himmelspach, Michele;Plaimauer, Barbara;Arbesser, Christine;York, Heinz;Dorner, Friedrich;Schlokat, Use
    • Biotechnology and Bioprocess Engineering:BBE
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    • 제5권2호
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    • pp.84-91
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    • 2000
  • Mycopasma contamination of tissue culture cells easily evades detection and, thus, represents a continous therat to cell biologists. In case where infected cell can not simply be replaced, attempts have to be made to eradicate mycoplacma from the tissue culture cells. A variety of anti-microbial agents have been shown to be toxic to mycoplasma strains ; however, cell associated mycoplasma are often protected from antibiotics at concentrations shown to be effective in vitro. Antibiotic concentrations high enough to be lethal to cell as sociated mycoplasmas frequently are also detrimentrations to the host cells, while moderately increased antibiotic levels tolerated by the host cells often lead to only temporary growth suppression and/or to the emergence of mycoplasma strains resistanct even to high concentrations of the antibiotis applied. Hare, a genetic approach for the elimination of mycoplasma from tissue culture cells that overcomes thens limitations is described. By expression of a selection marker conferring resistance to an otherwise toxic agent, Acholeplasma laidlawii infected BHK-21 cells used as the model system were enabled to temporarily tolerate antibiotic concentrations high enough to be lethal to cell associated mycopalsma while leaving the host cells unharmed. Upon successful mycoplasma eradicated, cultvation of the cured host cells in the absence of the selective agent yielded revertant cell clones that had regained susceptibillity to the toxic agent. Cressation of the selection marker expression was shown to result from the loss of the selection marker DNA, which is a consequence of the fact that the stable and permanent integration of foreign DNA in eucaryotic cell chrosomes is highly inefficient. Thus, the cells were cured from mycoplasma yet remained biochemically unaltered.

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전문가 지식 및 퍼지 이론을 연계한 물류설비 선정 방안에 관한 연구 (An Integrated Methodology of Knowledge-based Rules with Fuzzy Logic for Material Handling Equipment Selection)

  • 조지운
    • 지능정보연구
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    • 제12권1호
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    • pp.57-73
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    • 2006
  • 제조 라인의 설계에 있어서 물류설비의 선정은 매우 중요한 부분이다. 생산라인의 특성을 충분히 고려하여 물류설비를 선정하기 위해서는 다양한 요소들이 고려되어야 하며 그 요소들 가운데는 정량적인 요소(예, 자재 부피, 무게)들 뿐만 아니라 정성적인 요소(예, 유지 보수, 통합성)들도 포함된다. 정량적인 요소는 해당 물류설비의 사양 등을 통해 보다 쉽게 평가가 가능하지만 정성적인 요소는 객관적인 분석이 매우 어려운 부분이다. 실제 사례에서도 물류설비선정 시 정량적인 요소들만 검증되고 정성적인 요소들은 대부분 배제되는 것으로 나타나고 있다. 본 연구에서는 물류설비의 보다 효율적인 평가 및 선정을 위해 정량적인 요소뿐만 아니라 정성적인 요소들을 반영할 수 있는 방안을 제시하고자 한다. 이를 위해 전문가 지식 기반의 룰 (Rule) 및 퍼지 로직을 연계한 통합 방안을 개발하였다. 우선 전문가 지식 기반의 룰을 통해 해당 공정간 적절한 물류설비 유형 및 가능한 대안 유형들을 찾아내고 이들 중 정성적인 요소들까지를 반영하여 최적의 물류설비를 선정하기 위해 퍼지이론이 적용되었다. 본 연구를 통해 퍼지 이론의 제조 물류부분 적용 가능성을 제시하였다.

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Sampling and Selection Factors that Enhance the Diversity of Microbial Collections: Application to Biopesticide Development

  • Park, Jun-Kyung;Lee, Seung-Hwan;Lee, Jang-Hoon;Han, Songhee;Kang, Hunseung;Kim, Jin-Cheol;Kim, Young Cheol;McSpadden Gardener, Brian
    • The Plant Pathology Journal
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    • 제29권2호
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    • pp.144-153
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    • 2013
  • Diverse bacteria are known to colonize plants. However, only a small fraction of that diversity has been evaluated for their biopesticide potential. To date, the criteria for sampling and selection in such bioprospecting endeavors have not been systematically evaluated in terms of the relative amount of diversity they provide for analysis. The present study aimed to enhance the success of bioprospecting efforts by increasing the diversity while removing the genotypic redundancy often present in large collections of bacteria. We developed a multivariate sampling and marker-based selection strategy that significantly increase the diversity of bacteria recovered from plants. In doing so, we quantified the effects of varying sampling intensity, media composition, incubation conditions, plant species, and soil source on the diversity of recovered isolates. Subsequent sequencing and high-throughput phenotypic analyses of a small fraction of the collected isolates revealed that this approach led to the recovery of over a dozen rare and, to date, poorly characterized genera of plant-associated bacteria with significant biopesticide activities. Overall, the sampling and selection approach described led to an approximately 5-fold improvement in efficiency and the recovery of several novel strains of bacteria with significant biopesticide potential.

주문생산을 위한 APS 와 효율적 구매의 통합모델 (Integrated Supply Chain Model of Advanced Planning and Scheduling (APS) and Efficient Purchasing for Make-To-Order Production)

  • 정찬석;이영해
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2002년도 춘계공동학술대회
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    • pp.449-455
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    • 2002
  • This paper considers that advanced planning and scheduling (APS) in manufacturing and the efficient purchasing where each customer order has its due date and multi-suppliers exit We present a Make-To­Order Supply Chan (MTOSC) model of efficient purchasing process from multi-suppliers and APS with outsourcing in a supply chain, which requires the absolute due date and minimized total cost. Our research has included two states. One is for efficient purchasing from suppliers: (a) selection of suppliers for required parts; (b) optimum part lead­time of selected suppliers. Supplier selection process has received considerable attention in the business­management literature. Determining suitable suppliers in the supply chain has become a key strategic consideration. However, the nature of these decisions usually is complex and unstructured. These influence factors can be divided into quantitative and qualitative factors. In the first level, linguistic values are used to assess the ratings for the qualitative factors such as profitability, relationship closeness and quality. In the second level a MTOSC model determines the solutions (supplier selection and order quantity) by considering quantitative factors such as part unit price, supplier's lead-time, and storage cost, etc. The other is for APS: (a) selection of the best machine for each operation; (b) deciding sequence of operations; (c) picking out the operations to be outsourcing; and (d) minimizing makespan under the due date of each customer's order. To solve the model, a genetic algorithm (GA)-based heuristic approach is developed. From the numerical experiments, GA­based approach could efficiently solve the proposed model, and show the best process plan and schedule for all customers' orders.

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다중반응표면최적화: 현황평가 및 추후 연구방향 (Multiresponse Optimization: A Literature Review and Research Opportunities)

  • 정인준;김광재
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2005년도 춘계공동학술대회 발표논문
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    • pp.730-739
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    • 2005
  • A common problem encountered in product or process design is the selection of optimal parameter levels which involve simultaneous consideration of multiresponse variables. A multiresponse problem is solved through three major stages: data collection, model building, and optimization. To date, various methods have been proposed for the optimization stage, including the desirability function approach and loss function approach. In this paper, we first propose a framework classifying the existing studies and then propose some promising directions for future research.

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다중 플랜트 체인 구조에서 공정계획과 일정계획의 통합 (Integrated Process Planning and Scheduling in Multiple Plants Chain)

  • 문치웅;김규웅;김종수;허선
    • 산업공학
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    • 제13권3호
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    • pp.388-395
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    • 2000
  • In this paper, we propose an approach for integrated process planning and scheduling through analysis of the alternative operations sequences and machine selection in supply chain with multiple plants. It takes into account such factors alternative machine, alternative operations sequences, setup time, transportation time between plants, along with other manufacturing factors. The objective of the model is to minimize makespan of machine schedules for all parts, determines operations sequence for each part, and selects a machine for each operation simultaneously. Examples are presented to demonstrate the effectiveness of the proposed approach.

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COMSOAL 휴리스틱을 이용한 최적 운송경로 탐색 (Applying the COMSOAL Heuristic to the Optimal Vehicle Routing Selection)

  • 이성열
    • 경영과학
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    • 제20권1호
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    • pp.141-148
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    • 2003
  • Vehicle routing problem Is known to be a NP-hard problem, and is traditionally solved by some heuristic approaches. This paper investigates the application of the computer method COMSOAL to the optimal vehicle routing problem. This paper discusses the adaptation of the COMSOAL approach to the known set of simple vehicle routing example problem. The results show that the COHSOAL can be a good possible approach to solve the vehicle routing problem.

1차 확률적 지배를 하는 포트폴리오 가중치의 탐색에 관한 연구 (An Algorithm to Optimize Portfolio Weights for the First Degree Stochastic Dominance)

  • 류춘호
    • 한국경영과학회지
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    • 제28권1호
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    • pp.25-36
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    • 2003
  • Unlike the mean-variance approach, the stochastic dominance approach Is to form a portfolio that first-degree stochastically dominates a predetermined benchmark portfolio, e.g. KOSPI. Analytically defining the first derivative of the objective function, an optimal algorithm of nonlinear programming was developed to search a set of optimal weights systematically and tested with promising results against veal data sets from Korean stock market.