• Title/Summary/Keyword: Popular literature

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The Sinus Tarsi Approach for the Treatment of Intra-Articular Calcaneal Fractures (족근동 접근법을 이용한 관절 내 종골 골절의 치료)

  • Sato, Toru;Shiota, Naofumi;Tetsunaga, Tomonori;Kim, Bom Soo
    • Journal of Korean Foot and Ankle Society
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    • v.17 no.4
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    • pp.257-263
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    • 2013
  • Open reduction and internal fixation is currently considered as a gold standard of treatment in most of the intra-articular calcaneal fractures. Among various different approaches, extensile lateral approach is the most popular since it provides good exposure to the subtalar joint. However, wide skin incision followed by extensive soft tissue dissection leading to increased risk of wound breakdown is the most serious drawback. Sinus tarsi approach, a minimal invasive technique to approach the subtalar joint and reduce the intra-articular calcaneal fractures, provides good clinical outcome and less wound complications compared to the extensile lateral approach. This article introduces the surgical technique and review of the literature regarding the sinus tarsi approach.

Comparisons of Some Reinforcement Self-Learning Controllers by Cell-to-Cell Mapping

  • Pong, Chi-Fong;Chen, Yung-Yaw;Kuo, Te-Son
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1029-1032
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    • 1993
  • The construction of the rulebase of a fuzzy controller is usually difficult because experts' knowledge is often hard to derive. To remedy such a problem, a number of self-learning schemes for rulebase formulations were proposed. One of the popular approaches is the reinforcement learning. Many successful examples employing such an idea were proposed and claimed to be with good results in the literature. The purpose of this paper is to discuss and make comparisons between some of the related work in order to provide a better picture regarding their performances. A numerical algorithm for the analysis of nonlinear as well as fuzzy dynamic systems, the Cell-to-Cell Mapping, is used. The analytical results reveals the true behavior of the learning schemes.

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Common Feature Analysis of Economic Time Series: An Overview and Recent Developments

  • Centoni, Marco;Cubadda, Gianluca
    • Communications for Statistical Applications and Methods
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    • v.22 no.5
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    • pp.415-434
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    • 2015
  • In this paper we overview the literature on common features analysis of economic time series. Starting from the seminal contributions by Engle and Kozicki (1993) and Vahid and Engle (1993), we present and discuss the various notions that have been proposed to detect and model common cyclical features in macroeconometrics. In particular, we analyze in details the link between common cyclical features and the reduced-rank regression model. We also illustrate similarities and differences between the common features methodology and other popular types of multivariate time series modelling. Finally, we discuss some recent developments in this area, such as the implications of common features for univariate time series models and the analysis of common autocorrelation in medium-large dimensional systems.

Study on Korean's recognition of soundscape reflected on the songs (노랫말에 나타난 한국인의 음풍경 인식 조사 연구)

  • Shin, Hoon;Kook, Chan;Jang, Gil-Soo
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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    • 2004.11a
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    • pp.802-805
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    • 2004
  • It is requures to understand the meaning of sound and cultural background of target spaces for soundscape design. The purpose of this study is to derive the general soundscape preserved in the mind of Korean people. Four kinds of traditional Korean songs, that is to say, Sijo (Korean verse), folk-song, Pansori (song for drama by Chang reciter), and popular songs, were used as tools of research subjects. That is because the sounds expressed in literature are very useful subjects for soundscape survey. Paragraphs containing description of sounds were selected from the lyrics of the songs. Then 11 sound categories were named, and 13 meaning categories were classified according to referential and emotional aspects, respectively.

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Development of limit equilibrium method as optimization in slope stability analysis

  • Mendjel, D.;Messast, S.
    • Structural Engineering and Mechanics
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    • v.41 no.3
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    • pp.339-348
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    • 2012
  • The slope stability analysis is usually done using the methods of calculation to rupture. The problem lies in determining the critical failure surface and the corresponding factor of safety (FOS). To evaluate the slope stability by a method of limit equilibrium, there are linear and nonlinear methods. The linear methods are direct methods of calculation of FOS but nonlinear methods require an iterative process. The nonlinear simplified Bishop method's is popular because it can quickly calculate FOS for different slopes. This paper concerns the use of inverse analysis by genetic algorithm (GA) to find out the factor of safety for the slopes using the Bishop simplified method. The analysis is formulated to solve the nonlinear equilibrium equation and find the critical failure surface and the corresponding safety factor. The results obtained by this approach compared with those available in literature illustrate the effectiveness of this inverse method.

Experimental Investigation on the Ultimate and PostUltimate Strength of Stiffened Plates under Axial Compression

  • Cho, Sang-Rai;Song, Ick-Cho
    • Journal of Ship and Ocean Technology
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    • v.7 no.1
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    • pp.1-12
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    • 2003
  • Stiffened plates are among the most popular structural elements for marine structures like ships or offshore platforms. Many researchers have performed and reported the results of structural tests on stiffened plates in the open literature. However, the behaviour of stiffened plates in post-ultimate regime has not been fully reported. This paper reports the results of twenty-one axial compression tests including the initial imperfections and material properties of the test models. In aiming to investigate the post-ultimate behaviour of stiffened panels, the axial shortenings were increased up to far beyond the ultimate state. The results obtained from these tests can be utilized in substantiating design formulae in predicting the post-ultimate behaviour of stiffened plates.

The Availability of Access Features in Children's Non-Fiction

  • Ladd, Patricia R.
    • International Journal of Knowledge Content Development & Technology
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    • v.2 no.1
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    • pp.5-16
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    • 2012
  • This study analyzes the availability of access features in children's non-fiction as compared to their prevalence in adult non-fiction because such features are an important part of the research process increasingly demanded of younger and younger students in schools. Access features studied include: table of contents, index, bibliography, endnotes/footnotes, glossary, and suggestions for further reading list. This study found that children's non-fiction books were less likely to include bibliographies or endnotes, but more likely to include glossaries or suggested reading lists. Tables of contents and indexes were the two most popular access features in each section. Results are divided by Dewey Decimal Classification classes.

Development of a Personalized Similarity Measure using Genetic Algorithms for Collaborative Filtering

  • Lee, Soojung
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.12
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    • pp.219-226
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    • 2018
  • Collaborative filtering has been most popular approach to recommend items in online recommender systems. However, collaborative filtering is known to suffer from data sparsity problem. As a simple way to overcome this problem in literature, Jaccard index has been adopted to combine with the existing similarity measures. We analyze performance of such combination in various data environments. We also find optimal weights of factors in the combination using a genetic algorithm to formulate a similarity measure. Furthermore, optimal weights are searched for each user independently, in order to reflect each user's different rating behavior. Performance of the resulting personalized similarity measure is examined using two datasets with different data characteristics. It presents overall superiority to previous measures in terms of recommendation and prediction qualities regardless of the characteristics of the data environment.

Effect of Gender on Character Evaluation: Factors Affecting Enjoyment

  • Ulusoy, Ezgi;Lee, Hye Eun
    • International journal of advanced smart convergence
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    • v.8 no.1
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    • pp.214-221
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    • 2019
  • This study attempted to extend Korean Wave literature by investigating (a) the influence of protagonists' personality characteristics and the role of empathy under the affective disposition theory, and (b) the power of some external factors in the entertainment media selection. After watching an episode of the popular Korean drama, Secret Garden, participants completed a survey in the United States. Results demonstrated that (a) the effect of personality characteristics varied across gender and (b) external factors affects the entertainment media selection positively. Findings indicate that media enjoyment is dependent on the audience's external factors.

The new odd-burr rayleigh distribution for wind speed characterization

  • Arik, Ibrahim;Kantar, Yeliz M.;Usta, Ilhan
    • Wind and Structures
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    • v.28 no.6
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    • pp.369-380
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    • 2019
  • Statistical distributions are very useful in describing wind speed characteristics and in predicting wind power potential of a specified region. Although the Weibull distribution is the most popular one in wind energy literature, it does not seem to be able to perfectly fit all the investigated wind speed data in nature. Thus, many studies are still being conducted to find flexible distribution for modelling wind speed data. In this study, we propose a new Odd-Burr Rayleigh distribution for wind speed characterization. The Odd-Burr Rayleigh distribution with two shape parameters is flexible enough to model different shapes of wind speed data and thus it can be an alternative wind speed distribution for the assessment of wind energy potential. Therefore, suitability of the Odd-Burr Rayleigh distribution is investigated on real wind speed data taken from different regions in the South Africa. Numerical results of the conducted analysis confirm that the new Odd-Burr Rayleigh distribution is suitable for modelling most of the considered real wind speed cases and it also can be used for predicting wind power.