• Title/Summary/Keyword: Finding Problems

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A proposal on multi-agent static path planning strategy for minimizing radiation dose

  • Minjae Lee;SeungSoo Jang;Woosung Cho;Janghee Lee;CheolWoo Lee;Song Hyun Kim
    • Nuclear Engineering and Technology
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    • v.56 no.1
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    • pp.92-99
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    • 2024
  • To minimize the cumulative radiation dose, various path-finding approaches for single agent have been proposed. However, for emergence situations such as nuclear power plant accident, these methods cannot be effectively utilized for evacuating a large number of workers because no multi-agent method is valid to conduct the mission. In this study, a novel algorithm for solving the multi-agent path-finding problem is proposed using the conflict-based search approach and the objective function redefined in terms of the cumulative radiation dose. The proposed method can find multi paths that all agents arrive at the destinations with reducing the overall radiation dose. To verify the proposed method, three problems were defined. In the single-agent problem, the objective function proposed in this study reduces the cumulative dose by 82% compared with that of the shortest distance algorithm in experiment environment of this study. It was also verified in the two multi-agent problems that multi paths with minimized the overall radiation dose, in which all agents can reach the destination without collision, can be found. The method proposed in this study will contribute to establishing evacuation plans for improving the safety of workers in radiation-related facilities.

Research on the recent tendency of quality circle papers and improvement plans (최근 분임조 문집의 경향과 이에 따른 문제점 개선방안에 관한 연구 -전국분임조대회 수상기업 중심으로)

  • Yang, Heejoong
    • Journal of Korean Society for Quality Management
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    • v.44 no.4
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    • pp.845-853
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    • 2016
  • Purpose: This research is to find the general and somewhat prevailing problems in quality circle papers. Many quality circles try to benchmark awarded papers even though they may have common problems. By pointing out popular problems in papers, many quality circles hopefully could be guided to the right direction in working out improvement actions. Methods: Many papers awarded in national quality circle conferences are deeply analyzed to figure out common problems. 69 recent papers are analyzed step by step and the most important and frequently occurring problems in each step are indicated. Results: Many prevailing problems are found in each step of QC stories. Especially finding themes, Grasping status quo, Cause analysis, Setting targets, Development of and Implementing counter attacks are the most common areas that have problems. Conclusion: Some problems are already too popular to be recognized as problems. In this paper those problems are logically criticized and thereby right directions for future quality circle activities are proposed.

A NEW METHOD FOR A FINITE FAMILY OF PSEUDOCONTRACTIONS AND EQUILIBRIUM PROBLEMS

  • Anh, P.N.;Son, D.X.
    • Journal of applied mathematics & informatics
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    • v.29 no.5_6
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    • pp.1179-1191
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    • 2011
  • In this paper, we introduce a new iterative scheme for finding a common element of the set of fixed points of a finite family of strict pseudocontractions and the solution set of pseudomonotone and Lipschitz-type continuous equilibrium problems. The scheme is based on the idea of extragradient methods and fixed point iteration methods. We show that the iterative sequences generated by this algorithm converge strongly to the common element in a real Hilbert space.

AN ITERATIVE METHOD FOR EQUILIBRIUM PROBLEMS, VARIATIONAL INEQUALITY PROBLEMS AND FIXED POINT PROBLEMS

  • Shang, Meijuan;Su, Yongfu
    • Journal of applied mathematics & informatics
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    • v.27 no.1_2
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    • pp.161-173
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    • 2009
  • In this paper, we introduce an iterative scheme for finding a common element of the set of fixed points of a nonexpansive mapping, the set of solutions of the variational inequality for an inverse-strongly monotone mapping and the set of solutions of an equilibrium problem in a Hilbert space. We show that the iterative sequence converges strongly to a common element of the three sets. The results of this paper extend and improve the corresponding results announced by many others.

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AN ASYNCHRONOUS PARALLEL SOLVER FOR SOME MATRIX PROBLEMS

  • Park, Pil-Seong
    • Journal of applied mathematics & informatics
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    • v.7 no.3
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    • pp.1045-1058
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    • 2000
  • In usual synchronous parallel computing, workload balance is a crucial factor to reduce idle times of some processors that have finished their jobs earlier than others. However, it is difficult to achieve on a heterogeneous workstation clusters where the available computing power of each processor is unpredictable. As a way to overcome such a problem, the idea of asynchronous methods has grown out and is being increasingly used and studied, but there is none for eigenvalue problems yet. In this paper, we suggest a new asynchronous method to solve some singular matrix problems, that can also be used for finding a certain eigenvector of some matrices.

FIXED POINTS SOLUTIONS OF GENERALIZED EQUILIBRIUM PROBLEMS AND VARIATIONAL INEQUALITY PROBLEMS

  • Shehu, Yekini;Collins, C. Obiora
    • Journal of applied mathematics & informatics
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    • v.28 no.5_6
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    • pp.1263-1275
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    • 2010
  • In this paper, we introduce a new iterative scheme for finding a common element of the set of common fixed points of infinite family of nonexpansive mappings and the set of solutions to a generalized equilibrium problem and the set of solutions to a variational inequality problem in a real Hilbert space. Then strong convergence of the scheme to a common element of the three sets is proved. As applications, three new strong convergence theorems are obtained. Our theorems extend important recent results.

New learning algorithm to solve the inverse optimization problems

  • Aoyama, Tomoo
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.42.2-42
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    • 2002
  • We discuss a neural network solver for the inverse optimization problem. The problem is that find functional relations between input and output data, which are include defects. Finding the relations, predictions of the defect parts are also required. The part of finding the defects in the input data is an inverse problem . We consider the meanings to solve the problem on the neural network system at first. Next, we consider the network structure of the system, the learning scheme of the network, and at last, examine the precision on the numerical calculations. In the paper, we proposed the high-precision learning method for plural three-layer neural network system that is series-connect...

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Machine-part group formation for FMS planning and operation (FMS의 설계 및 운용을 위한 기계 부품 그룹 형성에 관한 연구)

  • 정성진;박진우;김재윤
    • Korean Management Science Review
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    • v.4
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    • pp.76-83
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    • 1987
  • The machine-part group formation(MPGF) problem arises frequently in FMS planning. By viewing the problem as one of finding good assignments, a powerful solution algorithm is presented. The new algorithm solves the threshold dilemma found in previous solution procedures employing similarity coefficients. It also compared favorably with other existing MPGF algorithms by finding minimum exceptional elements for the tested problems. Furthermore the new algorithm can solve dynamic and more realistic MPGF problems by considering production volumes or costs. Such diverse machine-part relationship values were not considered in previous MPGF studies, which included only 0,1 incidence values. An example problem is solved where production volumes are the elements of MPGF incidence matrix.

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A Case Study:A Learning System for Finding the Ranges of Transcendental Functions (초월함수 치역을 구하는 문제를 통한 학습시스템 모델에 관한 연구)

  • 김일곤;유석인
    • Korean Journal of Cognitive Science
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    • v.1 no.1
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    • pp.103-127
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    • 1989
  • Learning systems by using examples have been developed which include ALEX, LP, and LEX.Specially Silver's LP systems suggerts the method to use a seyuence of operators, which was applied to the worked example, to sove a symbolic equation.This paper presents the new learning system, called LRD, in which generalization and discrimination steps are suggerted to solv all the problems similar to the worked example.The system LRD is illustrated by the problem of finding the ranges of transcendentral functions and compared to LP and LEX by the problems discussed in them.

A Study on the Increase Profit of Korean Kitchen in Hotel -In center of menu and food cost control - (호텔 한식주방의 메뉴ㆍ원가관리에 관한 연구)

  • 이보순
    • Culinary science and hospitality research
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    • v.5 no.2
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    • pp.237-257
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    • 1999
  • Food & beverage part of nowadays hotel is steadily going up with the improvement of tourism industry and with the raise of income of the people, but some of the hotel kitchen has unchanged problem of low commercial profit and can't make improvement, so there are many kitchen problems. Especially, for the administrators of the hotels are avoiding from Korean kitchen with their cause that it makes lower profit than the other kitchen style. So, they are avoiding Korean kitchen itself, or showing minimized running. But, Korean kitchen should take off from its ways of being an assistant role or necessary evil as the part of income, by finding ways to make appropriate profit and ways to fulfill the variant desires of guests by running systematized and reasonable menu and Food cost control. This study is to suggest efficient management ways for the raise of profit and satisfaction of the guests by finding ways by analyzing the present situation of the menu and Food cost control of Korean kitchen by understanding these problems.

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