• Journal of information and communication convergence engineering
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• v.16 no.2
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• pp.72-77
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• 2018

This paper presents a novel channel capacity maximization method for a distorted $2{\times}2$ line-of-sight (LOS) multiple-input multiple-output (MIMO) link. A LOS MIMO link may be distorted by the influence of environmental factors such that the channel capacity of the LOS MIMO link may be degraded. By using the proposed method, the channel capacity of a distorted $2{\times}2$ LOS MIMO link can be the same as that of the ideal $2{\times}2$ LOS MIMO link. The proposed method employs an additional receiver antenna to maximize the channel capacity. In contrast to a $3{\times}2$ LOS MIMO link, a receiver circuit for a third receiving antenna is not necessary. Hence, the receiver for the proposed method is much simpler than that for a $3{\times}2$ LOS MIMO link. We determine the optimal position of the additional receiver antenna analytically. Simulation results show that the channel capacity can approach the ideal using the proposed method.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.21 no.4
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• pp.625-632
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• 2012

Optimization of process parameters in polymer extrusion is an important task to reduce manufacturing cost. To determine the optimum values of the process parameters, it is essential to find their influence on the strength of polymer breathable thin film. The significance of six important process parameters namely, extruder cylinder temperature, extruder speed, extruder dies temperature, cooling roll temperature, stretching ratio, stretching roll temperature on breathable film strength of polymer extrusion was determined. Moreover, this paper presents the application of Taguchi method and analysis of variance (ANOVA) for maximization of the breathable film strength influenced by extrusion parameters. The optimum parameter combination of extrusion process was obtained by using the analysis of signal-to-noise ratio. The conclusion revealed that extruder speed and stretching ratio were the most influential factor on the film strength, respectively. The best results of film strength were obtained at higher extruder speed and stretching ratio.

• Korean Institute of Interior Design Journal
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• v.14 no.1
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• pp.11-19
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• 2005

As the world becomes more globalized thanks to the fast development of the Internet, a national identity becomes more important than ever before. Based on this, the study searches for the identity of modern American architecture through exploring the influence of modem American fine arts on the contemporary architecture. It was found that the concepts and the attributes of modern American fine arts obviously transferred into the contemporary architecture. The main concept was elimination of any kind of illusion for maximization of reality, and it was rooted Into American culture, the way of life and thinking. With the concept, the attributes were divided into two extreme poles: materiality and morphology: the former was evolved from Abstract Expressionism and Post-Minimalism and transferred into Los Angeles Avant-Garde architecture; the latter was from Pop Art and transferred into Postmodern architecture and Pop Architecture.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38B no.6
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• pp.485-491
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• 2013

Recently, with the proliferation of social network services, users and many companies hope that their information spread more faster. In order to study the information diffusion in the social networks, many algorithms such as greedy algorithm and heuristic algorithm have been proposed. However, the greedy algorithm is too complicated to use in real-life social network, and the heuristic algorithms have been studied under the uniform distribution of diffusion probability, which is different from the real social network property. In this paper, we propose an heuristic information diffusion maximization algorithm based on diffusion probability and node degree. For performance evaluation, we use real social network database, and it is verified that our proposed algorithm activates more active nodes than existing algorithms, which enables faster and wider information diffusion.

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.682-693
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• 2013

Camouflage is evaluated by scientific principle in the fields of biology, military science, and art. It has a strong influence on contemporary fashion and means exposure with concealment. This study analyzed the visual characteristics of camouflage patterns in fashion design through documentaries and fashion photos. The fashion design results areas follow. The simple blending of a disruptive motif indicated an inaccurate repetition of a disruptive motif, the discontinuous or continuous connection of disruptive motif, the irregular repetition of a disruptive animal silhouette, the collage of a different disruptive motif, the craft of a disruptive motif and the intensive color match of a disruptive motif. It represented the maximization of complication, fantastic and fanciness. The overlap of a disruptive motif showed the overlap of disruptive print patterns with transparency and an overlap of different fabrics with a disruptive pattern. It represented spatial relationships of three dimensions as well as the maximization of visual illusion and the reinforcement of attractiveness. The blurring of a disruptive motif showed the pointage of disruptive motif, the pointage of image, value gradation, the whole blurring of a disruptive pattern cluster and stained appearance. It represented the obscurity of motif form, the uncertainty of object and double meaning. The trompe l'oeil of a partial background object showed the realistic and the painterly imitation of color and texture for partial objects through a close-up. It represented amazement and pleasure by illusion, scarcity and the decoration of surface and synecdochical remind. In conclusion, camouflage in fashion was weakened and modified from a classical military context by a unique expression of various motifs.

• The International Journal of Costume Culture
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• v.6 no.2
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• pp.83-92
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• 2003

This study aims to classify women's undergarments of the 20th century by periods, and to examine their characteristics. The research method consists of a literature study based on relevant documentary records and a demonstrative analysis of graphic data collected from each reference. The features of women's undergarments obtained from the study are as follows: First, silhouette changes of outer garments appear to influence the type and style of a new undergarment. Second, technological development results in a new type of undergarments. Third, the development of new material appears to influence functions and design of undergarments. Fourth, social changes including the development of sports affects the changes of undergarments. As seen so far, the form or type, material, and color in undergarment diversify when fashion changes become varied and rapid. As shown before the 20th century, the importance of undergarment's type, form, and function gradually reduces according to the changes of women's mind due to their social participation, although it still plays a role in correcting the shape of an outer garment based on the outer silhouette. The design also clearly shows the extremes of maximization and minimization of decoration.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.645-651
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• 2020

The concept of social entrepreneurship (SE) is gaining attention in developing economies for the purpose of greater societal welfare maximization. Still, findings in the field of SE studies have been riddled with conflicting results and counterstatement. Also, the determinants of developing SE are not robustly investigated in developing economies like Bangladesh. This context has mobilized the authors of this current study to focus on determining student's intention to pursue SE as their career choice. Hence, the study aims to examine the predictive determinants of social entrepreneurial intentions (SEI) among Bangladeshi students. The study has investigated the influence of entrepreneurial self-efficacy, social support, prior experience, and educational support on SEI. The survey was conducted from a public university of Bangladesh, and 231 students participated in the study. Questionnaire items under each construct variable have been adopted from pre-tested research studies. Five-point Likert scale questionnaire was applied to measure the variables. SPSS version 23.0 has been used for statistical analysis through which correlation and multiple regression analysis were conducted to measure the impact of the independent variables on SEI. Results exhibited that self-efficacy, social support, and educational support positively and significantly predicted SEI, while prior experience does not influence SEI.

• Steel and Composite Structures
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• v.33 no.3
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• pp.357-373
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• 2019

Steel storage racks are slender structures whose overall behavior and the capacity depend largely on the flexural behavior of the base-plate to upright connections and on the behavior of beam-to-column connections. The base-plate upright connection assembly details, anchor bolt position in particular, associated with the high-rise steel storage racks differ from those of normal height steel storage racks. Since flexural behavior of high-rise rack base connection is hitherto unavailable, this investigation experimentally establishes the flexural behavior of base-plate upright connections of high-rise steel storage racks. This investigation used an enhanced test setup and considered nine groups of three identical tests to investigate the influence of factors such as axial load, base plate thickness, anchor bolt size, bracket length, and upright thickness. The test observations show that the base-plate assembly may significantly influence the overall behavior of such connections. A rigid plate analytical model and an elastic plate analytical model for the overall rotations stiffness of base-plate upright connections with concentric anchor bolts were constructed, and were found to give better predictions of the initial stiffness of such connections. Analytical model based parametric studies highlight and quantify the interplay of components and provide a means for efficient maximization of overall rotational stiffness of concentrically anchor bolted high-rise rack base-plate upright connections.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.436-446
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• 2018

The purpose of this study is to examine the priorities of innovation activities, business performance, and maximization factors of SMEs. Support programs for each government department are operated by various industries. Various supports, including subsidies, grants, marketing, planning, and education, are provided to each company. Therefore, this study aims to analyze and identify the priorities of innovation activities that have a positive effect on business performance. The efficacy of the proposed model and the psychometric properties of structure were analyzed using the analytic hierarchy process (AHP). The hierarchical structure of corporate innovation activities are composed of 'R&D' and 'government support', and 'Inside R&D, Outsourcing R &D, Consortium R&D'. As a result of analyzing companies that received more than one type of R&D government support, it can be seen that 'government support' (72.1%) is more important than 'research and development' (27.8%). In addition, this study found key sub-factors loadings including Assistant Support (30.1%), Tax Support (22.7%), Funding Support (18.8%), Inside R&D (10.8%), Outsourcing R&D (10.3%), and Consortium R&D (7.2%). Analysis results suggest that the priorities of detailed innovation activities of R&D and government support affect product innovation and process innovation, which in turn, influence business performance and maximization of SMEs. This implies that SMEs who want to participate in the government support project will be helpful in setting the direction of innovation activities. This study also suggests the importance of strategic priorities among the decision elements for CEOs.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.382-384
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• 2004

In this parer, we propose a clustering that perform algorithm using new convergence properties. For detection and optimization of cluster, we use to similarity measure with cumulative probability and to inference the its parameters with MLE. A merits of using the cumulative probability in our method is very effectiveness that robust to noise or unnecessary data for inference the parameters. And we adopt similarity threshold to converge the number of cluster that is enable to past convergence and delete the other influence for this learning algorithm. In the simulation, we show effectiveness of our algorithm for convergence and optimization of cluster in riven data set.