• 제목/요약/키워드: Logical Approach

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Creative Thinking Methodology by Convergent and Divergent Approaches (수렴적, 발산적 접근에 의한 창의적 사고방법)

  • Choe, Seong-Un
    • Proceedings of the Safety Management and Science Conference
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    • 2011.11a
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    • pp.219-224
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    • 2011
  • The research reviews the logical approach based on the creative thoughts. The two logical approaches, including deductive convergent and inductive divergent are discussed with why-why techniques and how-how techniques. While the deductive thinking is vertical logic for interconnected hierarchical and deep domains, the inducive thinking is horizontal logic for mutually exclusive and collectively exhausted frameworks. The creative thinking comes from the reversing the logic and lessening the premise of convergent and divergent approaches.

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An Investigation on Chemistry Problem-Solving Strategy of Middle School Student (중학생의 화학 문제해결 전략 조사)

  • Noh, Tae-Hee;Jeon, Kyung-Moon
    • Journal of The Korean Association For Science Education
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    • v.17 no.1
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    • pp.75-83
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    • 1997
  • The purpose of this study was to determine the strategies that middle school students used in solving problems concerning density and solubility. These were compared in the aspects of problem contexts for 42 students of varying logical reasoning ability, spatial ability, and learning approach. A coding scheme used consists of five categories: reading & organization, production, errors, evaluation, and strategy. Students' protocols were analyzed after intercoder agreement had been established to be .95. The results were as follows: 1. Students had more difficulties in reading and organizing the problems in everyday contexts than in scientific contexts. Students at the concrete-operational stage and / or surface approach were more likely to have difficulties in reading and organizing the problems than those at the formal-operational stage and / or deep approach. 2. Students tended to split up the solubility problems into sub-problems and to solve the density problem in everyday contexts in random manner. These were significantly correlated with the test scores concerning logical reasoning ability, spatial ability, and learning approach at the .1 level of significance. 3. Major errors in solving the density problems were to disregard the given information or generated and to use inappropriate information. Many errors in solving the solubility problems were found to be executive errors. The strategy to use the information given appropriately was positively related to students' logical reasoning ability, spatial ability, and learning approach. 4. More evaluation strategies were found in everyday contexts. Their strategies to grasp the meaning of answers and to check the math were significantly related to students' logical reasoning ability. 5. Students used the random trial-and-error strategy more than the systematic strategy and the systematic trial-and-error strategy, especially in everyday contexts. The strategies used by the students were significantly related to students' logical reasoning ability, spatial ability, and learning approach.

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Semantics of Uncertain Databases based on Linear Logic (선형논리에 기반한 불확실성 데이터베이스 의미론)

  • Park, Sung-Woo
    • Journal of KIISE:Software and Applications
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    • v.37 no.2
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    • pp.148-154
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    • 2010
  • In the study of the formal semantics of uncertain databases, we typically take an algebraic approach by mapping an uncertain database to possible worlds which are a set of relational databases. In this paper, we present a new semantics for uncertain databases which takes a logical approach by translating uncertain databases into logical theories. A characteristic feature of our semantics is that it uses linear logic, instead of propositional logic, as its logical foundation. Linear logic is suitable for a logical interpretation of uncertain information because unlike propositional logic, it treats logical formulae not as persistent facts but as consumable resources. As the main result, we show that our semantics is faithful to the operational account of uncertain databases in the algebraic approach.

The Effects of the Science Writing Heuristic Approach on the Middle School Students' Achievements (중학생의 성취 수준에 따른 탐구적 과학 글쓰기(Science Writing Heuristic) 수업의 효과)

  • Shin, Soyoung;Choi, Aeran;Park, Jong-Yoon
    • Journal of The Korean Association For Science Education
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    • v.33 no.5
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    • pp.952-962
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    • 2013
  • The purpose of this study was to investigate the effects of the Science Writing Heuristic (SWH) approach on the students' summary writing, logical thinking and achievements for the course. Participants in this study were 132 female students from a girls' middle school. The SWH approach was used for two experimental classes and the typical teacher-centered instructional approach was used for two comparative classes. Summary writing test, logical thinking test (GALT) and achievement test for the course were administered before and after the instruction period. Results of this study indicated that the SWH approach was helpful for students in finding big ideas, understanding science concepts, developing logical thinking abilities and doing well in the course. This study also implied that the SWH approach was effective for the low achieving students.

An Event-Driven Entity-Relationship Modeling Method for Creating a Normalized Logical Data Model (정규화된 논리적 데이터 모델의 생성을 위한 사건 기반 개체-관계 모델링 방법론)

  • Yoo, Jae-Gun
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.3
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    • pp.264-270
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    • 2011
  • A new method for creating a logical data model is proposed. The logical data model developed by the method defines table, primary key, foreign key, and fields. The framework of the logical data model is constructed by modeling the relationships between events and their related entity types. The proposed method consists of a series of objective and quantitative decisions such as maximum cardinality of relationships and functional dependency between the primary key and attributes. Even beginners to database design can use the methology as long as they understand such basic concepts about relational databases as primary key, foreign key, relationship cardinality, parent-child relationship, and functional dependency. The simple and systematic approach minimizes decision errors made by a database designer. In practial database design the method creates a logical data model in Boyce-Codd normal form unless the user of the method makes a critical decision error, which is very unlikely.

A Study on the logic of systematic composition in architectural space (건축공간에서 체계적 구성논리의 전개에 관한 연구)

  • 이상화;박두용
    • Journal of the Korean housing association
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    • v.8 no.3
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    • pp.163-175
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    • 1997
  • This study is aimed at developing the systematic application of logic in composition of architectural space. It is investigated in the logical concept and its development applied to the rule of composition. Applying the method to the architectural composition. it is focused on modeling to the systematic approach in architectural composition. Therefore this study is investigated in the design process on the viewpoint of the systematic approach considering diverse variables. and it is accomplished to logical composition in architectural space. Being more studied. this method is applied to the composition of architect ureal space and practice.

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A Layered Network Flow Algorithm for the Tunnel Design Problem in Virtual Private Networks with QoS Guarantee

  • Song, Sang-Hwa;Sung, Chang-Sup
    • Management Science and Financial Engineering
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    • v.12 no.2
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    • pp.37-62
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    • 2006
  • This paper considers the problem of designing logical tunnels in virtual private networks considering QoS guarantee which restricts the number of tunnel hops for each traffic routing. The previous researches focused on the design of logical tunnel itself and Steiner-tree based solution algorithms were proposed. However, we show that for some objective settings it is not sufficient and is necessary to consider both physical and logical connectivity at the same time. Thereupon, the concept of the layered network is applied to the logical tunnel design problem in virtual private networks. The layered network approach considers the design of logical tunnel as well as its physical routing and we propose a modified branch-and-price algorithm which is known to solve layered network design problems effectively. To show the performance of the proposed algorithm, computational experiments have been done and the results show that the proposed algorithm solves the given problem efficiently and effectively.

A Machine-Learning Based Approach for Extracting Logical Structure of a Styled Document

  • Kim, Tae-young;Kim, Suntae;Choi, Sangchul;Kim, Jeong-Ah;Choi, Jae-Young;Ko, Jong-Won;Lee, Jee-Huong;Cho, Youngwha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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    • pp.1043-1056
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    • 2017
  • A styled document is a document that contains diverse decorating functions such as different font, colors, tables and images generally authored in a word processor (e.g., MS-WORD, Open Office). Compared to a plain-text document, a styled document enables a human to easily recognize a logical structure such as section, subsection and contents of a document. However, it is difficult for a computer to recognize the structure if a writer does not explicitly specify a type of an element by using the styling functions of a word processor. It is one of the obstacles to enhance document version management systems because they currently manage the document with a file as a unit, not the document elements as a management unit. This paper proposes a machine learning based approach to analyzing the logical structure of a styled document composing of sections, subsections and contents. We first suggest a feature vector for characterizing document elements from a styled document, composing of eight features such as font size, indentation and period, each of which is a frequently discovered item in a styled document. Then, we trained machine learning classifiers such as Random Forest and Support Vector Machine using the suggested feature vector. The trained classifiers are used to automatically identify logical structure of a styled document. Our experiment obtained 92.78% of precision and 94.02% of recall for analyzing the logical structure of 50 styled documents.

A Logical Hierarchy Architecture of Location Registers for Supporting Mobility in Wireless ATM Networks (무선 ATM 망에서 이동성 지원을 위한 위치 등록기의 논리적 계층 구조)

  • 김도현;조유제
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.6A
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    • pp.361-370
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    • 2003
  • This paper attempts to improve the existing architecture of location register for location management in Private Network to Network Interface(PNNI)-based wireless ATM networks. Our approach enhances the hierarchical architecture of location registers based on a PNNI hierarchical architecture, which is referred to as the logical hierarchy architecture of location registers. This paper introduces a logical hierarchy architecture for location registers to reduce the cost of their location management. This logical hierarchy architecture of location registers begins with the lowest level physical location registers that are organized into clusters called logical groups. These logical groups are then represented in higher layers by logical nodes. These logical nodes are again grouped into clusters that are treated as single nodes by the next higher layer. In this way, all location registers are included in this tree-type logical hierarchy architecture. Compared with the existing physical hierarchy architecture of location registers, the analysis results show that the proposed logical hierarchy architecture can reduce the number of databases and thereby the average total location management cost.

Chemistry Problem Solving Related to the Characteristics of Problem and Problem Solver: An Analysis of Time and Transition in Solving Problem (문제와 문제해결자의 특성에 따른 화학 문제 해결:문제 해결 시간과 전이 분석)

  • Seoul National University, Tae-Hee Noh;Seoul National University, Kyung-Moon Jeon
    • Journal of The Korean Association For Science Education
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    • v.17 no.1
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    • pp.11-19
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    • 1997
  • Students' protocols obtained from think-aloud interviews were analyzed in the aspects of the success at first two problem-solving stages (understanding and planning), the time to complete a problem, the time at each problem-solving stage, the number of transition, and the transition rate. These were compared in the aspects of the context of problem, the success in solving problem, students' logical reasoning ability, spatial ability, and learning approach. The results were as follows:1. Students tended to spend more time in everyday contexts than in scientific contexts, especially at the stages of understanding and reviewing. The transition rate during solving a problem in everyday contexts was greater than that in scientific contexts. 2. Unsuccessful students spent more time at the stage of understanding, but successful students spent more time at the stage of planning. 3. Students' logical reasoning ability, as measured with the Group Assessment of Logical Thinking, was significantly correlated with the success in solving problem. Concrete-operational students spent more time in completing a problem, especially understanding the problem. 4. Students' spatial ability, as measured with the Purdue Visualization of Rotations Test and the Find A Shape Puzzle, was significantly correlated with their abilities to understand a problem and to plan for its solution. 5. Students' learning approach, as measured with the Questionnaire on Approaches to Learning and Studying, was not significantly correlated with the success in solving problem. However, the students in deep approach had more transitions and greater transition rates than the students in surface approach.

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