• Title/Summary/Keyword: problem solving tool

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Visual Query and Analysis Tool of the Moving Object Database System

  • Lee, J.H.;Lee, S.H.;Nam, K.W.;Park, J.H.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.455-457
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    • 2003
  • Diverse researches are working moving objects. The most important activities in a moving object database system are query and analysis of spatio -temporal data providing decision-making and problem solving support. Traditional spatial database query language and tools are inappropriate of the real world entities. This paper presents a spatio-temporal query and analysis tool with visual environment. It provides effective, interactive and user-friendly as well as statistic analysis. The moving objects database system stores plentiful moving objects data and performs spatio-temporal and nonspatio-temporal queries.

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Generation Scheduling with Large-Scale Wind Farms using Grey Wolf Optimization

  • Saravanan, R.;Subramanian, S.;Dharmalingam, V.;Ganesan, S.
    • Journal of Electrical Engineering and Technology
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    • v.12 no.4
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    • pp.1348-1356
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    • 2017
  • Integration of wind generators with the conventional power plants will raise operational challenges to the electric power utilities due to the uncertainty of wind availability. Thus, the Generation Scheduling (GS) among the online generating units has become crucial. This process can be formulated mathematically as an optimization problem. The GS problem of wind integrated power system is inherently complex because the formulation involves non-linear operational characteristics of generating units, system and operational constraints. As the robust tool is viable to address the chosen problem, the modern bio-inspired algorithm namely, Grey Wolf Optimization (GWO) algorithm is chosen as the main optimization tool. The intended algorithm is implemented on the standard test systems and the attained numerical results are compared with the earlier reports. The comparison clearly indicates the intended tool is robust and a promising alternative for solving GS problems.

Graph coloring problem solving by calculations at the DNA level with operating on plasmids

  • Feng, Xiongfeng;Kubik, K.Bogunia
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.49.3-49
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    • 2001
  • In 1994 Adelman´s pioneer work demonstrated that deoxyribonucleic acid (DNA) could be used as a medium for computation to solve mathematical problems. He described the use of DNA based computational approach to solve the Hamiltonian Path Problem (HPP). Since then a number of combinatorial problems have been analyzed by DNA computation approaches including, for example: Maximum Independent Set (MIS), Maximal Clique and Satisfaction (SAT) Problems. In the present paper we propose a method of solving another classic combinatorial optimization problem - the eraph Coloring Problem (GCP), using specifically designed circular DNA plasmids as a computation tool. The task of the analysis is to color the graph so that no two nodes ...

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A Study on the Methods for Solving the Theodorsen Equation for Numerical Conformal Mapping

  • Song, Eun-Jee
    • Journal of information and communication convergence engineering
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    • v.10 no.1
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    • pp.66-70
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    • 2012
  • Conformal mapping has been a familiar tool of science and engineering for generations. Determination of a conformal map from the unit disk onto the Jordan region is reduced to solving the Theodorsen equation, which is an integral equation for boundary correspondence functions. There are many methods for solving the Theodorsen equation. It is the goal of numerical conformal mapping to find methods that are at once fast, accurate, and reliable. In this paper, we analyze Niethammer’s solution based on successive over-relaxation (SOR) iteration and Wegmann’s solution based on Newton iteration, and compare them to determine which one is more effective. Through several numerical experiments with these two methods, we can see that Niethammer’s method is more effective than Wegmann’s when the degree of the problem is low and Wegmann’s method is more effective than Niethammer’s when the degree of the problem is high.

A Study on Applying TRIZ to Logistics improvement (물류개선을 위한 트리즈 방법론 연구)

  • Jung, Soo-Hwan;Baek, Sung-Joon;Yu, Yen-Yoo
    • Journal of Digital Convergence
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    • v.12 no.8
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    • pp.77-84
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    • 2014
  • TRIZ was developed and refined in the Soviet Union between 1946 and 1985 by Genrich Altshuller. Its primary application has been for solving inventive problems in the areas of engineering. But, recently the elements of TRIZ began to be applied non-technical areas by Darrell Mann. TRIZ theroy was brought into South Korea in 1995 and it is used by the LG, SAMSUNG, POSCO. TRIZ is simply not the tool for technical problem solving, covering many areas of comprehensive approach is being recognized. TRIZ is a methodology for defining problem, finding root cause through RCA(Root cause analysis), defining technical contradiction and physical contradiction. TRIZ overcomes contradiction and purses problem solving method through innovation. TRIZ is a problem solving method in this study using the principles of non-technical fields applied to the improvement of the logistics area study. The method to overcome contradiction is 40 principles. It is possible to generate idea by using 40 principles. This study was applied to logistics field of non-technical area by using TRIZ principle.

The Effects of Self-Leadership on Problem-Solving Ability : A Comparison of College Students in the Department of Noncommissioned Officer and Those in the General Program (셀프리더십이 문제해결력에 미치는 영향 : 부사관과 일반과 대학생 비교)

  • kwon, Jung Min;Kim, Cheol Woo;Lee, Han Gyu
    • Convergence Security Journal
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    • v.18 no.5_2
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    • pp.43-51
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    • 2018
  • The purpose of this research is to analyze whether the Department of Noncommissioned Officer's(DNO) training influences the improvement of self-leadership and to investigate whether such an influence has a positive effect on the trainees' problem-solving ability. 317 students in the DNO and 263 who are enrolled in the general program at a college located in Busan-Geyongnam Area participated in the study. The results of the study are as follows. First, students in the of DNO had a higher level of self-leadership, and this difference was highly significant(t=5.60, p=.000). Second, students in the DNO also had a greater problem-solving ability, this difference also being highly significant(t=6.54, p=.000). Third, in analyzing the correlation between self-leadership and problem-solving ability, it was determined that there was a significant(r=.631, p=.000) static correlation between the two. It is anticipated that the results of this study will become a useful tool to support the efficient mastery of necessary for the students of the DNO(according to the school-military agreement). Moreover, it is expected that such training will contribute to the stabilization of supply of and demand for professional DNO.

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SW Education Program using Pair Programming Collaboration Tools (짝프로그래밍 협업도구를 활용한 SW교육프로그램)

  • Kim, Yong-Ok;Chun, Seok-Ju
    • Journal of The Korean Association of Information Education
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    • v.23 no.4
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    • pp.375-384
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    • 2019
  • In a rapidly changing society with the Fourth Industrial Revolution, future students should have the skills to utilize and organize high-quality knowledge, not the amount of knowledge. With the launch of the revised curriculum in 2015, the curriculum has been reorganized based on competency and the software education has been seeking capabilities such as 'Cultural computing knowledge', 'Computational thinking', and 'Collaborative problem solving skills'. Therefore, practical collaboration tools and education programs that can be used in the field of education are developed based on Pair Programming, which is a specific collaborative learning strategy to develop cooperative problem solving skill. The educational program using this collaboration tool was developed with a focus on developing computational thinking and collaborative problem solving skills through Pair Programming rather than focusing on learning grammar of programming language and programming techniques. In a educational program, students will be able to use collaborative tools for pair programming and foster collaborative problem-solving skills.

A Linguistic Study on the Sentence Problems in 2015 revised Elementary Mathematics Textbooks (초등수학 교과서 문장제의 언어적 분석)

  • Kim, Young A;Kim, Sung Joon
    • East Asian mathematical journal
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    • v.35 no.2
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    • pp.115-139
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    • 2019
  • In problem solving education, sentence problems are a tool for comprehensive evaluation of mathematical ability. The sentence problems refer to the problem expressed in sentence form rather than simply a numerical representation of mathematical problems. In order to solve sentence problems with a mixture of mathematical terms and general language, problem-solving ability including the ability to understand the meaning of sentences as well as the mathematical computation ability is required. Therefore, it is important to analyze syntactic elements from the linguistic aspects in sentence problems. The purpose of this study is to investigate the complexity of sentence problems in the length of sentences and the grammatical complexity of the sentences in the depth of the sentences by analyzing the 51 sentence problems presented in the $4^{th}$ grade mathematics textbook(2015 revised curriculum). As a result, it was confirmed that it is necessary to examine the length and depth of the sentence more carefully in the teaching and learning of sentence problems. Especially in elementary mathematics, the sentence problems requires a linguistic understanding of the sentence, and therefore it is necessary to consider syntactic elements in the process of developing and teaching sentence problems in mathematics textbook.

Development and Application of the Butterfly Algorithm Based on Decision Making Tree for Contradiction Problem Solving (모순 문제 해결을 위한 의사결정트리 기반 나비 알고리즘의 개발과 적용)

  • Hyun, Jung Suk;Ko, Ye June;Kim, Yung Gyeol;Jean, Seungjae;Park, Chan Jung
    • The Journal of Korean Association of Computer Education
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    • v.22 no.1
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    • pp.87-98
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    • 2019
  • It is easy to assume that contradictions are logically incorrect or empty sets that have no solvability. This dilemma, which can not be done, is difficult to solve because it has to solve the contradiction hidden in it. Paradoxically, therefore, contradiction resolution has been viewed as an innovative and creative problem-solving. TRIZ, which analyzes the solution of the problem from the perspective of resolving contradictions, has been used for people rather than computers. The Butterfly model, which analyzes the problem from the perspective of solving the contradiction like TRIZ, analyzed the type of contradiction problem using symbolic logic. In order to apply an appropriate concrete solution strategy for a given contradiction problems, we designed the Butterfly algorithm based on decision making tree. We also developed a visualization tool based on Python tkInter to find concrete solution strategies for given contradiction problems. In order to verify the developed tool, the third grade students of middle school learned the Butterfly algorithm, analyzed the contradiction of the wooden support, and won the grand prize at an invention contest in search of a new solution. The Butterfly algorithm developed in this paper systematically reduces the solution space of contradictory problems in the beginning of problem solving and can help solve contradiction problems without trial and errors.

TRIZ-based Real Problem Definition Process (트리즈 기반의 진짜문제 정의 프로세스)

  • Kim, Eun-Gyung
    • The Journal of Korean Institute for Practical Engineering Education
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    • v.1 no.1
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    • pp.1-6
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    • 2009
  • Traditionally engineers' main roles are concentrated on solving any given problems and engineering education has emphasized problem solving ability. Therefore engineers intend to solve easily perceived problems with their knowledge and experience instead of trying to analyze the given problems thoroughly and to define real problems, and go through lots of trial and error. So, engineers require the ability to define real problems accurately before trying to solve the problems. This study proposes a real problem definition process using visualization of a core zone and TRIZ concepts such as contradictions and IFR(Ideal Final Result) in order to define real problems with minimum trial and error. TRIZ is the theory of inventive problem solving and was developed by a Soviet engineer and researcher Genrich Altshuller from 1946. Nowadays many industries use TRIZ and its effectiveness was already proved by lots of real problem solving in various areas. Therefore TRIZ might be very effective tool for developing students' inventive thinking ability in engineering education.

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