• Title/Summary/Keyword: determining set

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Multi-Stage Supply Chain Network Design Using a Cooperative Coevolutionary Algorithm Based on a Permutation Representation (순열 표현 기반의 협력적 공진화 알고리즘을 사용한 다단계 공급사슬 네트워크의 설계)

  • Han, Yong-Ho
    • Korean Management Science Review
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    • v.29 no.2
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    • pp.21-34
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    • 2012
  • This paper addresses a network design problem in a supply chain system that involves locating both plants and distribution centers, and determining the best strategy for distributing products from the suppliers to the plants, from the plants to the distribution centers and from the distribution centers to the customers. This paper suggests a cooperative coevolutionary algorithm (CCEA) approach to solve the model. First, the problem is decomposed into three subproblems for each of which the chromosome population is created correspondingly. Each chromosome in each population is represented as a permutation denoting the priority. Then an algorithm generating a solution from the combined set of chromosomes from each population is suggested. Also an algorithm evaluating the performance of a solution is suggested. An experimental study is carried out. The results show that our CCEA tends to generate better solutions than the previous CCEA as the problem size gets larger and that the permutation representation for chromosome used here is better than other representation.

Shape Recovery

  • Kim, Tae-Eun;Lee, Mal-Lae
    • Proceedings of the Korea Multimedia Society Conference
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    • 1998.04a
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    • pp.385-388
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    • 1998
  • The main interest of previous researches for shape from shading was only on Lambertian surface which consists of diffuse reflectance surface. In practice, natural objects have hybrid reflectance, which limits the recovery of shape from intensity distribution[1][2]. In this paper, we propose the method of determining shape using neural network and diffuse illumination. The segmented region of sphere surface is used for training set, which can be determined by shadow line and edge of surface. Diffuse illumination is used to avoid specular spike and highlight which usually cause many problems such as intensity disparities. Diffuse illumination method using flat paper allows us to reduce these phenomena with simple scheme. Neural network and Diffuse illumination method are useful for shape from shading, because it can be applied to objects of unknown reflectance properties, but it is applied only to Torrance-Sparrow style reflectance.

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ON HOPF ALGEBRAS IN ENTROPIC JÓNSSON-TARSKI VARIETIES

  • ROMANOWSKA, ANNA B.;SMITH, JONATHAN D.H.
    • Bulletin of the Korean Mathematical Society
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    • v.52 no.5
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    • pp.1587-1606
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    • 2015
  • Comonoid, bi-algebra, and Hopf algebra structures are studied within the universal-algebraic context of entropic varieties. Attention focuses on the behavior of setlike and primitive elements. It is shown that entropic $J{\acute{o}}nsson$-Tarski varieties provide a natural universal-algebraic setting for primitive elements and group quantum couples (generalizations of the group quantum double). Here, the set of primitive elements of a Hopf algebra forms a Lie algebra, and the tensor algebra on any algebra is a bi-algebra. If the tensor algebra is a Hopf algebra, then the underlying $J{\acute{o}}nsson$-Tarski monoid of the generating algebra is cancellative. The problem of determining when the $J{\acute{o}}nsson$-Tarski monoid forms a group is open.

An In Vitro Bioassay for Nerve Growth Factor

  • Choi, Young-Ju;Kim, Seon-Mi;Park, Sun-Young;Kim, Hyo-Sun;Shin-Won;Lee, Seok-Ho;Sohn, Yeo-Won
    • Proceedings of the PSK Conference
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    • 2002.10a
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    • pp.328.3-329
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    • 2002
  • A convenient bioassay of nerve growth factor(NGF) is essential for assessing its potency during the course of product development and quality controls afterwards. We have set up a cell-based bioassay for determining the potency of recombinant NGF using rat pheochromocytoma (PC12) cells. Cell survival was measured by monitoring the reduction of the alamarBlue$^{TM}$ dye by living cells. (omitted)d)

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Analysis of Factors Affecting Traffic Accident Severity on Freeway Climbing Lanes (고속도로 오르막차로 교통사고 심각도 영향요인 분석)

  • Youn, Seokmin;Joo, Shinhye;Lee, Seolyoung;Oh, Cheol
    • International Journal of Highway Engineering
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    • v.17 no.6
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    • pp.85-95
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    • 2015
  • PURPOSES : The objective of this study is to analyze factors affecting traffic accident severity for determining countermeasures on freeway climbing lanes. METHODS : In this study, an ordered probit model, which is a widely used discrete choice model for categorizing crash severity, was employed. RESULTS : Results suggest that factors affecting traffic accident severity on climbing lanes include speed, drowsy driving, grade of uphill 3%, gender (male offender and male victim), and cloud weather. CONCLUSIONS : Several countermeasures are proposed for improving traffic safety on freeway climbing lanes based on the analysis of crash severity. More extensive analysis with a larger data set and various modeling techniques are required for generalizing the results.

Determination of dosing rate for water treatment using fusion of genetic algorithms and fuzzy inference system (유전알고리즘과 퍼지추론시스템의 합성을 이용한 정수처리공정의 약품주입률 결정)

  • 김용열;강이석
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.952-955
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    • 1996
  • It is difficult to determine the feeding rate of coagulant in water treatment process, due to nonlinearity, multivariables and slow response characteristics etc. To deal with this difficulty, the fusion of genetic algorithms and fuzzy inference system was used in determining of feeding rate of coagulant. The genetic algorithms are excellently robust in complex operation problems, since it uses randomized operators and searches for the best chromosome without auxiliary information from a population consists of codings of parameter set. To apply this algorithms, we made the look up table and membership function from the actual operation data of water treatment process. We determined optimum dosages of coagulant (PAC, LAS etc.) by the fuzzy operation, and compared it with the feeding rate of the actual operation data.

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A STUDY ON A CULTURE OF HUMAN ALVEOLAR BONE CELLS (사람 치조골세포의 배양에 관한 연구)

  • Choi, Byung-Ho;Park, Jin-Hyung;Yoo, Jae-Ha
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.26 no.6
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    • pp.602-605
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    • 2000
  • Human alveolar bone cells were isolated from alveolar bone fragments obtained from normal individual undergoing third molar extractions. Alveolar bone fragments were cultured as explant. Cells began to migrate in the first $5{\sim}7$ day and were confluent in $5{\sim}7$ week. Matrix mineralization was observed by 4 week. Our studies utilize established protocols for the characterization of these cells as osteoblasts by means of alkaline phosphatase activity determination, identification of osteocalcin antigens, establishing the presence of cells expressing type I collagen and determining the ability of cells to produce calcification. Transmission electron microscopic observations confirmed the presence of a collagen matrix undergoing a mineralization process. This new model, using human alveolar bone cells, may provide a tool to investigate alveolar bone development and physiology and to set up new therapeutic approaches.

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Database Modeling for Environmental Product Life Cycle Management (환경영향을 고려한 제품 전 주기 관리 데이터 모델링)

  • 황오현;강무진
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.358-362
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    • 2001
  • Environmental Product Life Cycle Management is an activity for defining and describing the product, process of activity environmentally. The activity involves the full life cycle stages of the product; evaluating environmental releases at each stage, determining the aggregate and specific impacts of the releases, developing opportunities to effect environmental improvements. This paper presents a methodological approach for database modeling to build Product Life Cycle Management system and show a set of database modeling. Additionally, a key issue for database is the quality of the provided information.

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Interference Analysis between DTV System and IEEE 802.11n WLAN (DTV시스템과 IEEE 802.11n WLAN의 간섭분석)

  • Choi, Jae-Hyuck;Kim, Eun-Cheol;Yang, Jae-Soo;Kim, Jin-Young
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.104-107
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    • 2009
  • In this paper, we analyze the effect of interference between DTV system and IEEE 802.11n. We set DTV as a victim receiver and IEEE 802.11n as an interfering system. When they exist in the same area, they can make an interference effect. Therefore, we calculate a minimum coupling loss (MCL) and compare the resulting value with a path loss for determining whether there exists a potential interference or not. The minimum separation distance is determined when the path loss is larger than the MCL.

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Blind Source Separation for OFDM with Filtering Colored Noise and Jamming Signal

  • Sriyananda, M.G.S.;Joutsensalo, Jyrki;Hamalainen, Timo
    • Journal of Communications and Networks
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    • v.14 no.4
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    • pp.410-417
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    • 2012
  • One of the premier mechanisms used in extracting unobserved signals from observed mixtures in signal processing is employing a blind source separation (BSS) algorithm. Orthogonal frequency division multiplexing (OFDM) techniques are playing a prominent role in the sphere of multicarrier communication. A set of remedial solutions taken to mitigate deteriorative effects caused within the air interface of OFDM transmission with aid of BSS schemes is presented. Four energy functions are used in deriving the filter coefficients. Energy criterion functions to be optimized and the performance is justified. These functions together with iterative fixed point rule for receive signal are used in determining the filter coefficients. Time correlation properties of the channel are taken advantage for BSS. It is tried to remove colored noise and jamming components from themixture at the receiver. Themethod is tested in a slow fading channel with a receiver containing equal gain combining to treat the channel state information values. The importance is that, these are quite low computational complexity mechanisms.