• Wind and Structures
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• v.16 no.6
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• pp.629-660
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• 2013

This paper reviews the current state-of-the-art in the numerical evaluation of wind loads on buildings. Important aspects of numerical modeling including (i) turbulence modeling, (ii) inflow boundary conditions, (iii) ground surface roughness, (iv) near wall treatments, and (vi) quantification of wind loads using the techniques of computational fluid dynamics (CFD) are summarized. Relative advantages of Large Eddy Simulation (LES) over Reynolds Averaged Navier-Stokes (RANS) and hybrid RANS-LES over LES are discussed based on physical realism and ease of application for wind load evaluation. Overall LES based simulations seem suitable for wind load evaluation. A need for computational wind load validations in comparison with experimental or field data is emphasized. A comparative study among numerical and experimental wind load evaluation on buildings demonstrated generally good agreements on the mean values, but more work is imperative for accurate peak design wind load evaluations. Particularly more research is needed on transient inlet boundaries and near wall modeling related issues.

• Journal of the Korean Society for Precision Engineering
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• v.14 no.1
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• pp.78-83
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• 1997

The paper presents the experimental analysis of a Stewart platform-based force-torque senor. The closed-form solution of forward kinematics of the Stewart platform is derived approximately by way of a linearization technique, and the solution is used in the force analysis of the force-torque sensor. An exper- mental studies show that the proposed method including gravity compensation algorithm is valid for Stew- art platform-based force-torque sensors. The performance of the developed force-torque sensor is evaluated in view of accuracy and linearity in measurements.

• Korean Journal of Human Ecology
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• v.17 no.6
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• pp.1205-1213
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• 2008

Material is a factor for maximizing formative aspect among fashion design factors. Therefore, central axis of modern fashion is performing various trials for escaping from existing cloth and searching for artistic value. Especially, Korean paper is a formative material, which is manufactured through traditional manual work in Korea. The material is used in various fields on the basis of its aesthetic feature. Especially, fashion field performs handcraft activity on the basis of mulberry pulp, which is a prime material of Korean paper. Because the activity can be reinterpreted by world designers, who want to find motive of fashion material in the third world, it is necessary to perform experimental study for developing expressive form on the basis of diversity of Korean paper material. Therefore, the purpose of this study is to perform experimental study by focusing on the development of Korean paper material in order to express formative feature. The study purposes are as follows. The first purpose is to reinterprete the theory through actual work of fiber formation using Korean paper in the current flow where art and design field are fused and compromised. The second purpose is to suggest vision of material development on the basis of formative feature to fashion world focusing its eyesight to Asia and the third countries. The study results are as follows. First, Korean paper has been evaluated as proper material for the fusion of design and art because of its handicraft feature, long-term preservation, heat insulation, absorption, diversity and eastern feature. Second, the study performed various trials for artistic dress material by developing 12 Korean paper works and suggested the development of new material on the basis of formative feature of modem fashion industry.

• Cross-Cultural Studies
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• v.45
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• pp.33-54
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• 2016

This study presents a comparative analysis of the calligrammic poetic dictions shown in the poems of the French poets Guillaume Apollinaire and Paul Eluard and in those of the Korean poet Lee Sang. They were adventurers in the avant-garde movement who used experimental techniques that led to futurism, expressionism, cubism, dadaism, and surrealism. They applied a typographic technique that combined pictorial arrangements of fonts, shapes of compositions and between lines, letters of the alphabet, mathematical symbols, and graphical elements, such as circles or lines, to make up a poem that also looked like a painting. Their works, valued as visual lyric poems, break up language and combine anti-poems. They rejected traditional poetic dictions or grammar, but developed a paratactic poem that freely uses letters and symbols. Their calligrammic poetic dictions arouse dynamic images like space extension. Lee Sang's calligrams seem like abstract paintings that apply geometric symbols like those used in technical drawings. As a result, crossing the boundaries between language and pictorial art by using experimental materials and techniques, their poems deconstruct the creative standards of rational and traditional poetic dictions, creating an adventurous, expressive technique. Their calligrammic, avant-garde poems introduced a new spirit of art into both French and Korean modern poetic literature.

• International Journal of Computer Science & Network Security
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• v.24 no.2
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• pp.31-42
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• 2024

Different industries mostly rely on quality certification for promoting their products or brands. Although getting quality certification, specifically by human experts is a tough job to do. But the field of machine learning play a vital role in every aspect of life, if we talk about quality certification, machine learning is having a lot of applications concerning, assigning and assessing quality certifications to different products on a macro level. Like other brands, wine is also having different brands. In order to ensure the quality of wine, machine learning plays an important role. In this research, we use two datasets that are publicly available on the "UC Irvine machine learning repository", for predicting the wine quality. Datasets that we have opted for our experimental research study were comprised of white wine and red wine datasets, there are 1599 records for red wine and 4898 records for white wine datasets. The research study was twofold. First, we have used a technique called backward elimination in order to find out the dependency of the dependent variable on the independent variable and predict the dependent variable, the technique is useful for predicting which independent variable has maximum probability for improving the wine quality. Second, we used a robust machine learning algorithm known as "XGBoost" for efficient prediction of wine quality. We evaluate our model on the basis of error measures, root mean square error, mean absolute error, R2 error and mean square error. We have compared the results generated by "XGBoost" with the other state-of-the-art machine learning techniques, experimental results have showed, "XGBoost" outperform as compared to other state of the art machine learning techniques.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.9
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• pp.3762-3781
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• 2020

Infrared pedestrian target recognition is a vital problem of significant interest in computer vision. In this work, a novel infrared pedestrian target recognition method that uses heterogeneous features with multi-kernel transfer learning is proposed. Firstly, to exploit the characteristics of infrared pedestrian targets fully, a novel multi-scale monogenic filtering-based completed local binary pattern descriptor, referred to as MSMF-CLBP, is designed to extract the texture information, and then an improved histogram of oriented gradient-fisher vector descriptor, referred to as HOG-FV, is proposed to extract the shape information. Second, to enrich the semantic content of feature expression, these two heterogeneous features are integrated to get more complete representation for infrared pedestrian targets. Third, to overcome the defects, such as poor generalization, scarcity of tagged infrared samples, distributional and semantic deviations between the training and testing samples, of the state-of-the-art classifiers, an effective multi-kernel transfer learning classifier called MK-TrAdaBoost is designed. Experimental results show that the proposed method outperforms many state-of-the-art recognition approaches for infrared pedestrian targets.

• The Research Journal of the Costume Culture
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• v.24 no.3
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• pp.367-384
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• 2016

The aim of this paper is to examine relationship characteristics and the relevance there of in the context of the Chanel collection, between the contemporary fashion show viewed from the artistic side and intermedia on interaction. This study analyzed the relationship characteristics between intermedia and fashion shows by focusing on Chanel fashion shows from 2010 S/S to 2016 F/W as actual case. The results are as follow: First, participational accessibility indicates the experience of a designer and audience in active participation changing into passive participation. Second, audience immersion is represented by the perception of being involved by the audience in the place and acting. Third, conceptual symbolism is sending of messages through the designer's concept manifesting in the specific features of the design. Finally, expandability of media explains trans-boundaries in experimental attempts. It concludes that fashion show is a space where the audience can have visual as well as new knowledge and experience through multi-sensory channels. The Chanel collection which is considered a huge art project at the fashion show, showed a relationship between philosophy and the direction through season concepts and brands. The Chanel collection has brought a new experience through the convergence of communications and cultural media, such as music and art according to traditional brand image.

• Computers and Concrete
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• v.19 no.6
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• pp.651-658
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• 2017

High-performance concrete, besides aggregate, cement, and water, incorporates supplementary cementitious materials, such as fly ash and blast furnace slag, and chemical admixture, such as superplasticizer. Hence, it is a highly complex material and modeling its behavior represents a difficult task. This paper presents an evolutionary system for the prediction of high performance concrete strength. The proposed framework blends a recently developed version of genetic programming with a local search method. The resulting system enables us to build a model that produces an accurate estimation of the considered parameter. Experimental results show the suitability of the proposed system for the prediction of concrete strength. The proposed method produces a lower error with respect to the state-of-the art technique. The paper provides two contributions: from the point of view of the high performance concrete strength prediction, a system able to outperform existing state-of-the-art techniques is defined; from the machine learning perspective, this case study shows that including a local searcher in the geometric semantic genetic programming system can speed up the convergence of the search process.

• Clinical and Experimental Reproductive Medicine
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• v.25 no.3
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• pp.299-304
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• 1998

Despite the rapid development of assisted reproductive technologies (ART) in recent years, implantation rates after replacement of embryos into the uterine cavity remains low. Several techniques such as culture conditions based on formulations of human tubal fluid and various ART techniques as GIFT, ZIFT, TET have been adopted in recent years to improve embryo viability in vitro and implantation rates. Also, coculture of human IVF-derived embryos have been used in an effort to increase the number of viable embryos following IVF and to improve synchrony between the developing embryo and the uterine environment. The aim of this study was to evaluate whether the use of co culture with autologous cumulus cells has a significant beneficial effect on the development of embryos in vitro and its relation to the pregnancy rates in 120 patients with previous failed IVF-ET from September, 1995 to January 1998. We obtained the results from which significant improvement in the quality of viable embryos were observed using a coculture system with autologous cumulus cells, but pregnancy rates in this group of patients did not differ from the rate in the standard IVF group during the same period. Our study shows that a simplified short-term coculture system with autologous cumulus cells may help rescue moderate quality embryos to cleave regularly.

• Structural Engineering and Mechanics
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• v.68 no.1
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• pp.1-15
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• 2018

In ocean industry, free surface type ART (Anti Roll tank) system has been widely used to suppress the roll motion of floating structures. In those, various obstacles have been devised to obtain the sufficient damping and to enhance the controllability of freely rushing water inside the tank. Most of previous researches have paid on the development of simple mathematical formula for coupled ship-ARTs analysis although other numerical and experimental approaches exist. Little attention has been focused on the use of 3D panel method for preliminary design of free surface type ART despite its advantages in computational time and general capacity for hydrodynamic damping estimation. This study aims at developing a potential theory based hydrodynamic code for the analysis of floating structure with baffled ARTs. The sloshing in baffled tanks is modeled through the linear potential theory with FE discretization and it coupled with hydrodynamic equations of floating structures discretized by BEM and FEM, resulting in direct coupled FE-BE formulation. The general capacity of proposed formulation is emphasized through the coupled hydrodynamic analysis of floating structure and sloshing inside baffled ARTs. In addition, the numerical methods for natural sloshing frequency tuning and estimation of hydrodynamic damping ratio of liquid sloshing in baffled tanks undergoing wave exiting loads are developed through the proposed formulation. In numerical examples, effects of natural frequency tuning and baffle ratios on the maximum and significant roll motions are investigated.