• Title/Summary/Keyword: selection theory

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Introduction to a Novel Optimization Method : Artificial Immune Systems (새로운 최적화 기법 소개 : 인공면역시스템)

  • Yang, Byung-Hak
    • IE interfaces
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    • v.20 no.4
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    • pp.458-468
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    • 2007
  • Artificial immune systems (AIS) are one of natural computing inspired by the natural immune system. The fault detection, the pattern recognition, the system control and the optimization are major application area of artificial immune systems. This paper gives a concept of artificial immune systems and useful techniques as like the clonal selection, the immune network theory and the negative selection. A concise survey on the optimization problem based on artificial immune systems is generated. The overall performance of artificial immune systems for the optimization problem is discussed.

The Interaction between Personality Characteristics and Mood States in Media Contents Selection

  • Cho, Seungho;Hur, Junsoo
    • International Journal of Contents
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    • v.14 no.4
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    • pp.51-56
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    • 2018
  • This study was conducted to explore the relationship between personality characteristics and mood in the selection of media content. Using meta-analysis, this study analyzed past studies regarding media content selection in television program. The results of this research showed that the preference of a given media content would depend on the viewer's mood, personality characteristics and the interaction between personality characteristics and mood states. The secondary data of television programs supported the association.

Analysis of Evolutionary Content in High School Biology Textbook (고등학교 생물 교과서에서의 진화내용분석)

  • Kim, Hak-Hyun;Chang, Nam-Kee
    • Journal of The Korean Association For Science Education
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    • v.23 no.5
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    • pp.470-483
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    • 2003
  • This study analyzed the evolutionary content in 13 textbooks developed from the first to the 6th high school biology curriculum, The content analysis of textbooks, which were delineated nine component, was performed on the 80 evolutionary categories, According to the result, the proportion of the total evolutionary content in textbook increased from the textbooks developed by the Ist curriculum to the textbooks developed by the 6th curriculum, but the proportion of 'main narrative' in total evolutionary content was gradually decreased. It also showed that biology curriculum and points of view of textbook writers influenced on the proportion of evolutionary contents. On the whole, the topics of analysed textbooks exhibit insufficient diversity, Any categories- 'group selection', 'gene selection', 'gaps in fossil record', 'co-evolution', 'punctuated equilibrium', 'mosaic evolution', 'place of labor in human evolution', 'human race differentiation', 'criticism of "ontogeny recapitulates phylogeny", and 'human activities affecting evolution' - were not treated and others - 'theory of neutralism', 'theories of major episodes(excepting extinctions) found in the geologic time scale', 'sympatric speciation', 'clinal and area-effect speciation', 'polyploidy and evolution', 'gradualism' and 'evolution and origin of mammals' - were treated very lightly, the most emphasized topic was 'phylogeny in general' and 'formation of precells', 'miscellaneous' in the order of emphasis. 'Theory of natural selection' was lightly treated as just one of evolutionary theory though it should be emphasized as major theme of evolution. Also, the law of recapitulation, of which biologists doubt the validity, was discussed as an evidence of evolution in some textbooks. And the agents of genetic equilibrium disruption like genetic drift and migration were treated as of little importance. On the basis of above result, it was suggested that the textbook writers introduced the more meaningful evolutionary topics focused the theory of natural selection in explanation of evolution and evolution theory.

Feature Selection by Genetic Algorithm and Information Theory (유전자 알고리즘과 정보이론을 이용한 속성선택)

  • Cho, Jae-Hoon;Lee, Dae-Jong;Song, Chang-Kyu;Kim, Yong-Sam;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.94-99
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    • 2008
  • In the pattern classification problem, feature selection is an important technique to improve performance of the classifiers. Particularly, in the case of classifying with a large number of features or variables, the accuracy of the classifier can be improved by using the relevant feature subset to remove the irrelevant, redundant, or noisy data. In this paper we propose a feature selection method using genetic algorithm and information theory. Experimental results show that this method can achieve better performance for pattern recognition problems than conventional ones.

Joint Relay Selection and Resource Allocation for Delay-Sensitive Traffic in Multi-Hop Relay Networks

  • Sha, Yan;Hu, Jufeng;Hao, Shuang;Wang, Dan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.9
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    • pp.3008-3028
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    • 2022
  • In this paper, we investigate traffic scheduling for a delay-sensitive multi-hop relay network, and aim to minimize the priority-based end-to-end delay of different data packet via joint relay selection, subcarrier assignment, and power allocation. We first derive the priority-based end-to-end delay based on queueing theory, and then propose a two-step method to decompose the original optimization problem into two sub-problems. For the joint subcarrier assignment and power control problem, we utilize an efficient particle swarm optimization method to solve it. For the relay selection problem, we prove its convexity and use the standard Lagrange method to deal with it. The joint relay selection, subcarriers assignment and transmission power allocation problem for each hop can also be solved by an exhaustive search over a finite set defined by the relay sensor set and available subcarrier set. Simulation results show that both the proposed routing scheme and the resource allocation scheme can reduce the average end-to-end delay.

Difficulties Experienced by Preservice Science Teachers in Studying the Theory of Science Education for Teacher Selection Test (예비 과학교사들이 임용시험의 과학교육학 내용 학습에서 겪는 어려움)

  • Kim, In-Whan;Cha, Jeong-Ho;Kim, Chang-Man;Kim, Hak-Bum
    • Journal of The Korean Association For Science Education
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    • v.30 no.4
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    • pp.429-436
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    • 2010
  • In this study, the difficulties experienced by secondary preservice science teachers in studying the theory of science education for teacher selection test were studied. At first, questions of the internet cafe for preparing the teacher selection test from January 2008 to June 2009 were analyzed in terms of content area. A survey was also administered to 39 preservice science teachers who took the teacher selection test. The rubric used in this study was developed by the Korea Institute for Curriculum and Evaluation and the Korean Association for Science Education. As a result, the most frequent question areas were 'philosophy and history of science' and 'theories and models of teaching and learning science'. In the survey with the preservice science teachers, the most difficult content area was the philosophy of science. The application of teaching and learning model was also one of the most difficult areas. Based on these results, educational implications were discussed.

Network Theory Based Empirical Studies on the Factors Affecting Global Liners' Port Selection : Focused on Major Trade Port in Korea and China (Network 관점에서 본 글로벌해운선사의 항만선택 결정요인에 관한 연구 - 한국과 중국의 주요 무역항만을 대상으로 -)

  • Jang, Heung-Hoon;Han, Byoung-Sop
    • Journal of Korea Port Economic Association
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    • v.25 no.2
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    • pp.1-24
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    • 2009
  • Transportation decisions of ship liners are crucial for policy formulation in ports and shipping lines. Ship liners' port selection depends on the location characteristic of port. With network theory based, we empirically investigated determinants of global ship liners' port selection focused on major trade ports in China and Korea during 1995-2007. We present a detailed discussion on the related literatures about port selection, and develop hypothesis using network-based view. With conditional logit model, empirical results show that global liners select globally positioned ports rather than domestic oriented ones. Global ship liners select ports which have intra national network centrality, global ship network centrality and global network linkage.

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Selection of a Grammatical Subject in English Correlative Conjunction Phrases: An Optimality-Theoretic Approach

  • Khym, Han-Gyoo
    • International Journal of Advanced Culture Technology
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    • v.5 no.4
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    • pp.44-50
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    • 2017
  • The topic of selection of a grammatical subject in a correlative conjunction phrase has long failed to attract the attention of linguists due to some difficulties not only in figuring out the internal structure of NP's conjoined by a correlative conjunction but also in its heavy dependency on the representational aspects each correlative conjunction demonstrates. In this paper, I have explored the seemingly complex patterns in the selection of a grammatical subject in a correlative conjunction phrase in the frame of the Optimality Theory (Prince & Smolensky 1993, 2008). I show that, with the help of three newly developed constraints such as MinDist, Focus, and PARSE which are ranked relatively to each other, an optimal grammatical subject out of two NP candidates conjoined by a correlative conjunction can be correctly selectable.

Development of an Item Selection Method for Test-Construction by using a Relationship Structure among Abilities

  • Kim, Sung-Ho;Jeong, Mi-Sook;Kim, Jung-Ran
    • Communications for Statistical Applications and Methods
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    • v.8 no.1
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    • pp.193-207
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    • 2001
  • When designing a test set, we need to consider constraints on items that are deemed important by item developers or test specialists. The constraints are essentially on the components of the test domain or abilities relevant to a given test set. And so if the test domain could be represented in a more refined form, test construction would be made in a more efficient way. We assume that relationships among task abilities are representable by a causal model and that the item response theory (IRT) is not fully available for them. In such a case we can not apply traditional item selection methods that are based on the IRT. In this paper, we use entropy as an uncertainty measure for making inferences on task abilities and developed an optimal item selection algorithm which reduces most the entropy of task abilities when items are selected from an item pool.

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Consumers' Channel Selection Behavior Based on Psychological Distance Cue: Regulatory-Focus as Moderator

  • Jungyeon Sung;Sangcheol Park
    • Asia pacific journal of information systems
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    • v.29 no.2
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    • pp.248-267
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    • 2019
  • As merging online and offline channels into one single platform, individuals could easily and frequently switch between online and offline channels. In order for understanding such unique behaviors, this study attempts to explore why and how consumers choose their channels to search and purchase a product. We have drawn on multiple theories that have been used to explain individuals' judgment and decision making (i.e., construal level theory and regula-tory focus theory) in order to develop and tested two-way ANOVA based models of how both regulatory focus (e.g., promotion vs. prevention) and product types (e.g., experience goods vs. searching goods) including the psychological distance cue separately and jointly affect individuals' channel selection behavior (e.g., intention to use single channel vs. intention to use cross-channels). Our results have indicated that consumers with promotion-focus are more likely to use a single channel in experience goods rather than in searching goods when there exists the psychological cue. Based on our findings, the implication for both research and practice are discussed.