• Title/Summary/Keyword: global solution

Search Result 1,291, Processing Time 0.023 seconds

A Study on the Direction for the Institutional Improvement of Financial Supply Chain Management Solution under Global e-Trade (글로벌 전자무역에서의 금융지원체인관리 솔루션의 운용현황과 개선방향 - Bolero를 중심으로 -)

  • Chae, Jin-Ik
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
    • /
    • v.33
    • /
    • pp.247-275
    • /
    • 2007
  • This paper is to propose the Direction for the institutional improvement of Financial Supply Chain Management(FSCM) Solution which are currently coming into operation under Global e-Trading Platform. The Financial Supply Chain compromise the entire trade processes and information that manage a trader's cash, Accounts payable and receivable, Risk, working capital, and so on in international trade transaction. From a buyer's perspective, this involves the full procurement-to-payment process. For the seller, it is the order-to-cash cycle. Bolero provides the party concerned a e-trade platform which conformed to these fundamental pre-requisites to underpin fully electronic trade. But this FSCM solution have failed to provide the efficient platform to effectively manage the process of Global e-Trade because it does not correspond with e-Trade environment. Therefore, present FSCM system need the institutional improvement as follows: AA) Strengthening the role of the correspondent Bank under e-Trade System, BB) Extending the function of e-Trade intermediary institution, CC) The introduction of Trade Insurance System, etc. So, by streamlining and automating these processes on an open and flexible platform, The party concerned can optimize their trade transaction and maintain better relations with their business partners

  • PDF

Error estimation for 2-D crack analysis by utilizing an enriched natural element method

  • Cho, J.R.
    • Structural Engineering and Mechanics
    • /
    • v.76 no.4
    • /
    • pp.505-512
    • /
    • 2020
  • This paper presents an error estimation technique for 2-D crack analysis by an enriched natural element (more exactly, enriched Petrov-Galerkin NEM). A bare solution was approximated by PG-NEM using Laplace interpolation functions. Meanwhile, an accurate quasi-exact solution was obtained by a combined use of enriched PG-NEM and the global patch recovery. The Laplace interpolation functions are enriched with the near-tip singular fields, and the approximate solution obtained by enriched PG-NEM was enhanced by the global patch recovery. The quantitative error amount is measured in terms of the energy norm, and the accuracy (i.e., the effective index) of the proposed method was evaluated using the errors which obtained by FEM using a very fine mesh. The error distribution was investigated by calculating the local element-wise errors, from which it has been found that the relative high errors occurs in the vicinity of crack tip. The differences between the enriched and non-enriched PG-NEMs have been investigated from the effective index, the error distribution, and the convergence rate. From the comparison, it has been justified that the enriched PG-NEM provides much more accurate error information than the non-enriched PG-NEM.

LIOUVILLE THEOREMS OF SLOW DIFFUSION DIFFERENTIAL INEQUALITIES WITH VARIABLE COEFFICIENTS IN CONE

  • Fang, Zhong Bo;Fu, Chao;Zhang, Linjie
    • Journal of the Korean Society for Industrial and Applied Mathematics
    • /
    • v.15 no.1
    • /
    • pp.43-55
    • /
    • 2011
  • We here investigate the Liouville type theorems of slow diffusion differential inequality and its coupled system with variable coefficients in cone. First, we give the definition of global weak solution, and then we establish the universal estimate (does not depend on the initial value) of solution by constructing test function. At last, we obtain the nonexistence of non-negative non-trivial global weak solution within the appropriate critical exponent. The main feature of this method is that we need not use comparison theorem or the maximum principle.

Imrovement of genetic operators using restoration method and evaluation function for noise degradation (잡음훼손에 적합한 평가함수와 복원기법을 이용한 유전적 연산자의 개선)

  • 김승목;조영창;이태홍
    • Journal of the Korean Institute of Telematics and Electronics S
    • /
    • v.34S no.5
    • /
    • pp.52-65
    • /
    • 1997
  • For the degradation of severe noise and ill-conditioned blur the optimization function has the solution spaces which have many local optima around global solution. General restoration methods such as inverse filtering or gradient methods are mainly dependent on the properties of degradation model and tend to be isolated into a local optima because their convergences are determined in the convex space. Hence we introduce genetic algorithm as a searching method which will search solutions beyond the convex spaces including local solutins. In this paper we introudce improved evaluation square error) and fitness value for gray scaled images. Finally we also proposed the local fine tunign of window size and visit number for delicate searching mechanism in the vicinity of th global solution. Through the experiental results we verified the effectiveness of the proposed genetic operators and evaluation function on noise reduction over the conventional ones, as well as the improved performance of local fine tuning.

  • PDF

Global Optimum Searching Technique of Multi-Modal Function Using DNA Coding Method (DNA 코딩을 이용한 multi-modal 함수의 최적점 탐색방법)

  • 백동화;강환일;김갑일;한승수
    • Proceedings of the Korean Institute of Intelligent Systems Conference
    • /
    • 2001.12a
    • /
    • pp.225-228
    • /
    • 2001
  • DNA computing has been applied to the problem of getting an optimal solution since Adleman's experiment. DNA computing uses strings with various length and four-type bases that makes more useful for finding a global optimal solutions of the complex multi-modal problems. This paper presents DNA coding method for finding optimal solution of the multi-modal function and compares the efficiency of this method with the genetic algorithms (GA). GA searches effectively an optimal solution via the artificial evolution of individual group of binary string and DNA coding method uses a tool of calculation or Information store with DNA molecules and four-type bases denoted by the symbols of A(Ademine), C(Cytosine), G(Guanine) and T(Thymine). The same operators, selection, crossover, mutation, are applied to the both DNA coding algorithm and genetic algorithms. The results show that the DNA based algorithm performs better than GA.

  • PDF

Chaotic Search Algorithm for Network Reconfiguration in Distribution Systems (배전계통 최적구성을 위한 카오스 탐색법 응용)

  • Rhee, Sang-Bong;Kim, Kyu-Ho;You, Seok-Ku
    • Proceedings of the KIEE Conference
    • /
    • 2002.07a
    • /
    • pp.121-123
    • /
    • 2002
  • In this paper, we preposed a chaos optimization method to reduce computational effort and enhance optimality of the solution in feeder reconfiguration problem. Chaos method in optimization problem searches the global optimal solution on the regularity of chaotic motions and more easily escapes from local or near optimal solution than stochastic optimization algorithms. The chaos optimization method is tested on 15 buses and 32 buses distribution systems, and the test results indicate that it is able to determine appropriate switching options for global optimum configuration with less computation.

  • PDF

The Synthesis of a High Yield PbSe Quantum Dots by Hot Solution Method

  • Baek, In-Chan;Seok, Sang-Il;Chung, Yong-Chae
    • Bulletin of the Korean Chemical Society
    • /
    • v.29 no.9
    • /
    • pp.1729-1731
    • /
    • 2008
  • Colloidal solutions of crystalline PbSe nanoparticles have been synthesized by hot solution chemical process using PbO in oleic acid and tributylphosphine (TBP) bonded selenium. The use of TBP as a capping agent along with oleic acid gives a very good yield (around 10% at 180 ${^{\circ}C}$) with an average diameter of particle of about < 6.6 nm. The effects of temperature on size and production yield of PbSe quantum dots are studied. Xray diffraction (XRD), high-resolution transmission electron microscopy (HRTEM) and UV/VIS/NIR absorption spectroscopy were used to characterize the samples.

Economic Power Dispatch with Discontinuous Fuel Cost Functions using Improved Parallel PSO

  • Mahdad, Belkacem;Bouktir, T.;Srairi, K.;Benbouzid, M.EL.
    • Journal of Electrical Engineering and Technology
    • /
    • v.5 no.1
    • /
    • pp.45-53
    • /
    • 2010
  • This paper presents an improved parallel particle swarm optimization approach (IPPSO) based decomposed network for economic power dispatch with discontinuous fuel cost functions. The range of partial power demand corresponding to the partial output powers near the global optimal solution is determined by a flexible decomposed network strategy and then the final optimal solution is obtained by parallel Particle Swarm Optimization. The proposed approach tested on 6 generating units with smooth cost function, and to 26-bus (6 generating units) with consideration of prohibited zone effect, the simulation results compared with recent global optimization methods (Bee-OPF, GA, MTS, SA, PSO). From the different case studies, it is observed that the proposed approach provides qualitative solution with less computational time compared to various methods available in the literature survey.

ON THE RECURSIVE SEQUENCE $x_{n+l} =\alpha+\frac{x_{n-1}^{p}}{x_{n}^{p}}$

  • STEVIC STEVO
    • Journal of applied mathematics & informatics
    • /
    • v.18 no.1_2
    • /
    • pp.229-234
    • /
    • 2005
  • The boundedness, global attractivity, oscillatory and asymptotic periodicity of the positive solutions of the difference equation of the form $x_{n+l} =\alpha+\frac{x_{n-1}^{p}}{x_{n}^{p}},\;\; n = 0, 1, ...$ is investigated, where all the coefficients are nonnegative real numbers.