• International Journal of Air-Conditioning and Refrigeration
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• 제16권1호
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• pp.1-8
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• 2008

Numerical optimization for design of a blade stacking line of a low speed axial flow fan with a fast and elitist Non-Dominated Sorting of Genetic Algorithm(NSGA-II) of multi-objective optimization using three-dimensional Navier-Stokes analysis is presented in this work. Reynolds-averaged Navier-Stokes(RANS) equations with ${\kappa}-{\varepsilon}$ turbulence model are discretized with finite volume approximations and solved on unstructured grids. Regression analysis is performed to get second order polynomial response which is used to generate Pareto optimal front with help of NSGA-II and local search strategy with weighted sum approach to refine the result obtained by NSGA-II to get better Pareto optimal front. Four geometric variables related to spanwise distributions of sweep and lean of blade stacking line are chosen as design variables to find higher performed fan blade. The performance is measured in terms of the objectives; total efficiency, total pressure and torque. Hence the motive of the optimization is to enhance total efficiency and total pressure and to reduce torque.

• Communications for Statistical Applications and Methods
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• 제19권5호
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• pp.655-662
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• 2012

Classification is an important research field in pattern recognition with high-dimensional predictors. The support vector machine(SVM) is a penalized feature selector and classifier. It is based on the hinge loss function, the non-convex penalty function, and the smoothly clipped absolute deviation(SCAD) suggested by Fan and Li (2001). We developed the algorithm for the multiclass SVM with the SCAD penalty function using the local quadratic approximation. For multiclass problems we compared the performance of the SVM with the $L_1$, $L_2$ penalty functions and the developed method.

• Journal of Sport and Applied Science
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• 제4권2호
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• pp.31-43
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• 2020

Purpose: The purpose of this study is to provide fundamental information for professional sports and economy activation of cities, to explore mutual cooperative constructive relationship, and to investigate the Impact of Korean professional volleyball teams brand personality on city brand equity. Research design, data, and methodology: The study collected 500 survey responses and analyzed 478 surveys except for 22 which did not complete all items. For analyzing data, frequency, reliability, exploratory factor analysis, t-test, One-Way ANOVA, correlation, Multiple Regression were computed. Results: First, in difference in brand personality and city brand equity, due to gender, age, region of fan, significant difference were shown statistically in team image by gender, in honesty, interest and obdurability of brand personality by age, and in local community contribution, development possibility and sports facility of team image. Also, all factors show significant difference in region of fan. Second, regarding the impact of brand personality on city brand equity, honesty and capacity were shown to affect every factor of city brand equity, interest affected city image, and obdurability affected city perception. Conclusion: Professional teams need to develop win-win relationship with local community and seek to build positve image towards community fans via distinctive strategies for positioning.

• 경영과정보연구
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• 제37권2호
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• pp.125-147
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• 2018

본 연구는 팬시민행동이 스포츠마케팅 성과 간 구조적 관계에 관한 연구로 부산지역 롯데자이언츠 팬을 대상으로 220부의 설문지를 배포하였으며, 205부의 설문지를 최종 사용하였다. 연구모형을 바탕으로 SPSS 25.0과 Smart PLS 2.0을 이용하여 가설을 검증한 결과 총 17개의 기설 중 4개의 가설(가설 5-3, 가설 6-1, 가설 6-2, 가설 6-3)을 제외하고 모든 가설이 채택되었다. 이에 대한 구체적인 결과는 다음과 같다. 첫 번째, 팬시민행동은 구단자산(가설 1), 스폰서 자산(가설 2), 지역 자산(가설 3)에 모두 정(+)의 영향을 미치고 있는 것으로 나타났다. 두 번째, 구단자산은 스폰서 자산(가설 4)에 모두 정(+)의 영향을 미치고 있는 것으로 나타났으며, 지역이미지(가설 5-1), 지역사회기여(가설 5-2)에 정(+)의 영향을 미치고 있는 것으로 나타났다. 반면에 사회적 교류(가설 5-3)에는 통계적으로 유의하지 않는 것으로 나타났다. 마지막으로 스폰서 자산과 지역자산과의 관계는 다음과 같다. 기업이미지는 지역 자산 모두에 통계적으로 유의하지 않으며, 기업인지도는 모두 정(+)의 영향을 미치고 있는 것으로 나타났다. 본 연구의 결과는 팬 시민행동이 스포츠마케팅 성과에 미치는 영향에 대한 종합적인 이해와 이론적, 실무적 시사점을 제공할 것으로 기대된다.

• 산업경영시스템학회지
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• 제25권5호
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• pp.15-21
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• 2002

We studied the relations between variables related to fan's preference in a area of pro-baseball which is the most popular one among pro-sports. The dependent variables are pro-baseball team fan's preference to both the team and the products of the company which has a pro-baseball team, while the independent variables are sex, age, and hometown of fans. Eight hypotheses are constructed with those variables. For testing them a questionnaire was used, whose reliability was checked using Kronbach Alpha. Subjects were 314 college students in a local city. For statistical analysis nonparametric tests like Mann Whitney test, Kruskal-Wallis test, etc were used. Useful and significant results among variables were obtained. Since these results have important implications about management of pro-sports teams and fans and fans Preference to products in a view of sports marketing management, more researches should be done continuously in the future in this area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권10호
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• pp.3972-3988
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• 2020

Existing methods always rely on statistical features to extract local words for microblog user geolocation. There are many non-local words in extracted words, which makes geolocation accuracy lower. Considering the statistical and semantic features of local words, this paper proposes a microblog user geolocation method by extracting local words based on word clustering and wrapper feature selection. First, ordinary words without positional indications are initially filtered based on statistical features. Second, a word clustering algorithm based on word vectors is proposed. The remaining semantically similar words are clustered together based on the distance of word vectors with semantic meanings. Next, a wrapper feature selection algorithm based on sequential backward subset search is proposed. The cluster subset with the best geolocation effect is selected. Words in selected cluster subset are extracted as local words. Finally, the Naive Bayes classifier is trained based on local words to geolocate the microblog user. The proposed method is validated based on two different types of microblog data - Twitter and Weibo. The results show that the proposed method outperforms existing two typical methods based on statistical features in terms of accuracy, precision, recall, and F1-score.

• 유체기계공업학회:학술대회논문집
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• 유체기계공업학회 2001년도 유체기계 연구개발 발표회 논문집
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• pp.76-80
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• 2001

Unsteady compressible Euler equation is solved and the high-order, high-resolution numerical solver, physical boundary condition, adaptive nonlinear artificial dissipation model and conformal mapping are applied to computation of steady transonic flow and unsteady acoustics. The acoustic characteristics of axi-symmetric duct and two dimensional straight/S channel are studied and the computation results shows good agreements with linear analysis. In transonic case, local time stepping and canceling-the-residual techniques are used for convergence acceleration. The aspect of flow and acoustics in S-channel and the Pattern of noise radiation is changed by inflow Mach no. and static pressure at fan-face.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권11호
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• pp.4502-4518
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• 2015

Fisher linear discriminant analysis (LDA) is one of the most popular projection techniques for feature extraction and has been widely applied in face recognition. However, it cannot be used when encountering the single sample per person problem (SSPP) because the intra-class variations cannot be evaluated. In this paper, we propose a novel method called local similarity based linear discriminant analysis (LS_LDA) to solve this problem. Motivated by the "divide-conquer" strategy, we first divide the face into local blocks, and classify each local block, and then integrate all the classification results to make final decision. To make LDA feasible for SSPP problem, we further divide each block into overlapped patches and assume that these patches are from the same class. To improve the robustness of LS_LDA to outliers, we further propose local similarity based median discriminant analysis (LS_MDA), which uses class median vector to estimate the class population mean in LDA modeling. Experimental results on three popular databases show that our methods not only generalize well SSPP problem but also have strong robustness to expression, illumination, occlusion and time variation.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 A
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• pp.11-14
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• 2003

In this paper, we use Fuzzy Logic and Potential field method for optimal path planning of an autonomous mobile robot and apply to navigation for real-time mobile robot in 2D dynamic environment. For safe navigation of the robot, we use both Global and Local path planning. Global path planning is computed off-line using sell-decomposition and Dijkstra algorithm and Local path planning is computed on-line with sensor information using potential field method and Fuzzy Logic. We can get gravitation between two feature points and repulsive force between obstacle and robot through potential field. It is described as a summation of the result of repulsive force between obstacle and robot which is considered as an input through Fuzzy Logic and gravitation to a feature point. With this force, the robot fan get to desired target point safely and fast avoiding obstacles. We Implemented the proposed algorithm with Pioneer-DXE robot in this paper.

• 한국농촌건축학회논문집
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• 제24권4호
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• pp.85-95
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• 2022

This study is about the story of 'Saemi', existing in the Sacheon Alluvial fan area. Saemi is a local word for Dumbeong, which is the traditional water irrigation facilities in this area that could be formed according to the geographical characteristics of a Alluvial fan site. In the meantime, although Saemi has been an important source of water, related research has been mainly done from an ecological point of view. Accordingly, the researcher paid attention to the functional aspects of Saemi itself, grasped its location, distribution status, and usage including the construction method, and considered its intrinsic value through classification and characteristic analysis of Saemi. As a result of five field surveys from September 2021 to October 2022, 129 Saemies remained in the Sacheon alluvial fan area. According to the structure and shape, Saemi could be divided into basic type, complex type, and buried type. The basic type was subdivided into bucket-type and stairs-type along with the complex type, and the buried type was subdivided into all buried-type and some buried-type. Saemies were mainly distributed at the distal end of the Sacheon alluvial fan site, individual Saemies were built on farmland, and common Saemies were usually built along roadsides adjacent to villages. The reason why the Saemies are concentrated at the distal end is the geographical characteristics of the alluvial fan where the water underflows. Saemi was an important multifunctional water supply source equivalent to the main water source for people at the distal end of the pond who did not receive a stable supply of water from the reservoir. Saemi was at the center of the underground water irrigation network agricultural system in the Sacheon alluvial fan area according to the principles of 'bbaeim(drop out)' and 'gaepim(pooling)' It has provided a foundation for establishing itself as an appropriate technology in this area. Such Saemi contributed to the rural landscape and agricultural biodiversity through its own system and served as a public interest function. It is necessary to know, conserve, manage, and continuously utilize the value of this Saemi as an agricultural heritage.