• Title/Summary/Keyword: Structured Programming

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Language Education System with Structured Programming (구조적 프로그래밍을 위한 언어 학습 시스템)

  • Park, Kyoung-Wook;Ryu, Nam-Hoon;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.5
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    • pp.459-464
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    • 2010
  • Computer programs are required from all areas in society including machine, space, aviation, and medicine. However, the programming curriculum is getting hard despite a lot of teaching materials and video lessons. Programming languages are very diverse, but most of them use the same structure, and they only have different expression methods. Therefore, if one learns one programming language, then it doesn't need to spend a lot of time and efforts to learn another programming langue. Most programming languages use the structure of sequence, selection, and repletion in general. The important thing for programming learners is the structure or algorithm of programming not the grammar of program. This study designed and implemented the language learning system to learn structured programming by using a flowchart.

A Nonlinear Programming Approach to Biaffine Matrix Inequality Problems in Multiobjective and Structured Controls

  • Lee, Joon-Hwa;Lee, Kwan-Ho;Kwon, Wook-Hyun
    • International Journal of Control, Automation, and Systems
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    • v.1 no.3
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    • pp.271-281
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    • 2003
  • In this paper, a new nonlinear programming approach is suggested to solve biaffine matrix inequality (BMI) problems in multiobjective and structured controls. It is shown that these BMI problems are reduced to nonlinear minimization problems. An algorithm that is easily implemented with existing convex optimization codes is presented for the nonlinear minimization problem. The efficiency of the proposed algorithm is illustrated by numerical examples.

A Structured Reactive Robot Programming Language for Knowledge-Based Intelligent Robots (지식 기반 지능형 로봇의 행위 지정을 위한 구조적 반응 언어)

  • Lee, Jae-Ho;Kwak, Byul-Saim
    • Journal of KIISE:Software and Applications
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    • v.37 no.5
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    • pp.370-377
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    • 2010
  • An Intelligent service robot performs various complex tasks in dynamic environment, providing useful intelligent services for human users. The robot needs to continuously monitor dynamically changing environment and reactively choose the best behavior for the changing context. The selected behaviors may include nondeterministic or parallel actions. In this paper, we present a structured reactive robot programming language, SPRIT that is based on Structured Circuit Semantics (SCS). SPRIT is fully implemented as a task executor and tested for reactive robot tasks in dynamic environment to show that it can be used to explicitly represent and effectively implement the complex reactive behaviors of intelligent robot systems.

Behavior Evolution of Autonomous Mobile Robot(AMR) using Genetic Programming Based on Evolvable Hardware

  • Sim, Kwee-Bo;Lee, Dong-Wook;Zhang, Byoung-Tak
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.1
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    • pp.20-25
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    • 2002
  • This paper presents a genetic programming based evolutionary strategy for on-line adaptive learnable evolvable hardware. Genetic programming can be useful control method for evolvable hardware for its unique tree structured chromosome. However it is difficult to represent tree structured chromosome on hardware, and it is difficult to use crossover operator on hardware. Therefore, genetic programming is not so popular as genetic algorithms in evolvable hardware community in spite of its possible strength. We propose a chromosome representation methods and a hardware implementation method that can be helpful to this situation. Our method uses context switchable identical block structure to implement genetic tree on evolvable hardware. We composed an evolutionary strategy for evolvable hardware by combining proposed method with other's striking research results. Proposed method is applied to the autonomous mobile robots cooperation problem to verify its usefulness.

Design of Evolvable Hardware for Behavior Evolution of Autonomous Mobile Robots (자율이동로봇의 행동진화를 위한 진화하드웨어 설계)

  • 이동욱;반창봉;전호병;심귀보
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.254-254
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    • 2000
  • This paper presents a genetic programming based evolutionary strategy for on-line adaptive learnable evolvable hardware. genetic programming can be useful control method for evolvable hardware for its unique tree structured chromosome. However it is difficult to represent tree structured chromosome on hardware, and it is difficult to use crossover operator on hardware. Therefore, genetic programming is not so popular as genetic algorithms in evolvable hardware community in spite of its possible strength. We propose a chromosome representation methods and a hardware implementation method that can be helpful to this situation. Our method uses context switchable identical block structure to implement genetic tree on evolvable hardware. We composed an evolutionary strategy (or evolvable hardware by combining proposed method with other's striking research results. Proposed method is applied to the autonomous mobile robots cooperation problem to verify its usefulness.

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Analysis of Japanese elementary school mathematics textbooks and digital contents on programming education (프로그래밍 교육 관련 일본 초등학교 수학 교과서 및 디지털 콘텐츠 분석)

  • Kwon, Misun
    • Education of Primary School Mathematics
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    • v.27 no.1
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    • pp.57-74
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    • 2024
  • This paper analyzed the programming education specialized lessons presented in two types of elementary school mathematics textbooks according to the revised Japanese curriculum in 2017. First, this paper presented in detail how each activity is connected to Korean mathematics areas, what elements of mathematics can be learned through programming education, how each activity is structured, and how the actual programming according to the textbook activities is structured. In Japanese textbooks, geometry and measurement areas were presented the most among Korean mathematics content areas, and mathematical elements such as sequences, rules, and algorithms were most implemented for learning. Digital learning tools that make up actual programming present more elements than those presented in the textbooks and are presented in great detail so that students can do actual programming. Lastly, in blocks, motion, control, and calculation blocks were used a lot. Based on these research results, this study provides implications when conducting programming-related education in Korea.

Software Tool Development for structured Programming (구조적 프로그램을 위한 소프트웨어 Tool의 개발)

  • Lee, Dong-Choon;Kim, Seong-Jong;Kim, Chang-Bok;Shin, In-Chul;Rhee, Sang-Burm
    • Proceedings of the KIEE Conference
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    • 1987.07b
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    • pp.1140-1143
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    • 1987
  • The purpose of this study is to develop a systematic tool which can reduce the abstractness of the structured programming disciplines by a system. The system is an interactive software which forces the user to think and write software in a hierarchical stepwise refinement fashion for an implementation of the software design. The program produced by the system has a program control structure and a logic flow which are very easy to recognize. The modification of a program is, therefore, easier to attain by altering the specifications of the modules involved. It is possible to reduce the programming errors because of those characteristics.

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HANSFOR : 한글 프로그래밍 언어

  • Lee Jin-Tae
    • Journal of the military operations research society of Korea
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    • v.10 no.2
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    • pp.33-41
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    • 1984
  • Hangout programming language, written in Hangout and having syntax of Korean, can enhance readability very much for its naturalness, and is suited for Hangout data processing. But there exist several problems in implementing it due to the peculiarities of Korean such as verb position, variation of termination. This paper proposes a solution for implementing Hangeul high level language and introduces a Hangout programming language HANSFOR (Hangout Structured Fortran), implemented according to the proposed method. HANSFOR satisfies such requirements of Hangout high level language as mentioned above and can handle Korean and Chinese character data efficiently. Especially, though it is based on Fortran, it is free-formatted and provides structured programming concept to compensate for defects of original Fortran. It is successfully implemented on NEC S/100.

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Reconstruction of structured models using incomplete measured data

  • Yu, Yan;Dong, Bo;Yu, Bo
    • Structural Engineering and Mechanics
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    • v.62 no.3
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    • pp.303-310
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    • 2017
  • The model updating problems, which are to find the optimal approximation to the discrete quadratic model obtained by the finite element method, are critically important to the vibration analysis. In this paper, the structured model updating problem is considered, where the coefficient matrices are required to be symmetric and positive semidefinite, represent the interconnectivity of elements in the physical configuration and minimize the dynamics equations, and furthermore, due to the physical feasibility, the physical parameters should be positive. To the best of our knowledge, the model updating problem involving all these constraints has not been proposed in the existed literature. In this paper, based on the semidefinite programming technique, we design a general-purpose numerical algorithm for solving the structured model updating problems with incomplete measured data and present some numerical results to demonstrate the effectiveness of our method.

Mathematical Programming Models for Establishing Dominance with Hierarchically Structured Attribute Tree (계층구조의 속성을 가지는 의사결정 문제의 선호순위도출을 위한 수리계획모형)

  • Han, Chang-Hee
    • Journal of the military operations research society of Korea
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    • v.28 no.2
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    • pp.34-55
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    • 2002
  • This paper deals with the multiple attribute decision making problem when a decision maker incompletely articulates his/her preferences about the attribute weight and alternative value. Furthermore, we consider the attribute tree which is structured hierarchically. Techniques for establishing dominance with linear partial information are proposed in a hierarchically structured attribute tree. The linear additive value function under certainty is used in the model. The incompletely specified information constructs a feasible region of linear constraints and therefore the pairwise dominance relationship between alternatives leads to intractable non-linear programming. Hence, we propose solution techniques to handle this difficulty. Also, to handle the tree structure, we break down the attribute tree into sub-trees. Due to there cursive structure of the solution technique, the optimization results from sub-trees can be utilized in computing the value interval on the topmost attribute. The value intervals computed by the proposed solution techniques can be used to establishing the pairwise dominance relation between alternatives. In this paper, pairwise dominance relation will be represented as strict dominance and weak dominance, which ware already defined in earlier researches.