• 정보과학회 논문지
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• 제42권3호
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• pp.367-378
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• 2015

본 논문은 기계학습 방법과 필터링 방법을 결합해서 경쟁관계를 인식하는 방법에 대한 연구이다. 기존 연구들은 기계학습 방법에만 의존해서 관계유형을 인식하는 연구들이 대부분이며. 사용되는 자질도 일반적인 관계유형에 적합한 자질을 사용하고 특히 구문분석 정보가 매우 중요한 자질로 사용된다. 본 논문에서는 구문분석 등의 언어분석 결과를 이용하지 않고, 단순한 자질들(어휘, 거리, 위치, 단서단어)만을 사용해도 경쟁관계 인식에 효과적임을 확인하였다. 또한, 경쟁관계인식 긍정 정확도를 향상시킬 수 있는 문장별 경쟁유무 분류방법, 스팸분류 방법, 거리제약 기반 자질필터링 방법을 기계학습 방법과 결합한 방법론을 제안한다. 방법론 검증을 위해서 뉴스분야 2,565개 문장을 평가셋으로 구축하였고, 비교 평가를 위해서 규칙기반 경쟁관계 인식기와 기존연구의 관계추출 방법론에 기반한 일반 관계추출기를 적용해서 비교하였다. 성능평가 결과로 규칙기반 엔진이 긍정정확도와 전체정확도(accuracy)가 81.2%와 56.8% 성능을 보였고, 일반 관계추출기는 61.2%와 56.3%를 보였다. 그에 비해서 본 논문에서 제안하는 방법은 긍정 정확도 92.2%와 전체정확도 71.3% 성능을 보여서 경쟁관계 인식에 효과적임을 확인하였다.

• 유통과학연구
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• 제18권5호
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• pp.61-70
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• 2020

Purpose: The aim of this paper is to investigate whether labor unions are the main determinants of advertising expenditures and whether market competition has an impact on the relation between labor unions and advertising expenditures, focusing on distribution firms. Research design, data, and methodology: Using 914 observations of KOSPI market from 2001 to 2009 in distribution firms, this paper examines whether labor union is related to advertising expenditures, focusing on distribution firms. For this, this paper employs not only OLS regressions method but also 2SLS regressions method in which Female_Ratio(percentage of female employees) is used as instrumental. Results: This paper finds that in the distribution firms, labor union, as a major stakeholder of the company is, in terms of statistic, negatively associated with advertising expenditures. Also, market competition, in this paper, doesn't have real impact on the relation between labor unions and advertising expenditures. Conclusions: This paper presents the influence of labor unions, as a major factor in determining advertising expenditures. An executive who understands that as the amount of advertising expenditure increases, the total pie of wages to be attributed to the members of labor union will decrease.

• 산업경영시스템학회지
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• 제45권4호
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• pp.99-108
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• 2022

Today, as technology advances and market competition for products intensifies, the product design to improve customer satisfaction by accurately identifying customer needs is emerging as a very important issue for company. Accordingly, the customer-oriented or customer-centered design that maximizes customer satisfaction by grasping and analyzing customer requirements is in the spotlight as an important design theory. In this study, the customer-oriented design is defined as finding the optimal value of design variable with the maximum overall customer satisfaction while minimizing the difference in individual customer satisfaction responded to various customers from multiple product quality characteristics from the perspective of robust design. Therefore, this study presents a new method for modeling the customer preference structure as the different sets of desirability functions for multiple quality characteristics and proposes a new customer-oriented design approach by applying the desirability functions to Taguchi's robust design process to deal with multi-characteristic design problem. Finally, the proposed method is illustrated with the Kansei engineering design problem of wine glass.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4557-4572
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• 2020

The Alaska competition provides an opportunity to study the practical problems of real-world steganalysis. Participants are required to solve steganalysis involving various embedding schemes, inconsistency JPEG Quality Factor and various processing pipelines. In this paper, we propose a method to ensemble multiple deep learning steganalyzers. We select SRNet and RESDET as our base models. Then we design a three-layers model ensemble network to fuse these base models and output the final prediction. By separating the three colors channels for base model training and feature replacement strategy instead of simply merging features, the performance of the model ensemble is greatly improved. The proposed method won second place in the Alaska 1 competition in the end.

• 한국전산유체공학회:학술대회논문집
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• 한국전산유체공학회 2005년도 춘계 학술대회논문집
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• pp.197-201
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• 2005

According to operating conditions of each engine, a PCV valve has various flow rates and pressure characteristic. In a developed country, it has been developing by a computational design simulation. But, Korean companies have no ability of technical design for a PCV valve. So, they depend on their experiments and copy the designs of foreign companies when they need to design new PCV valves. These problems cause increase of error rate and take much time. Hence, optimal design for a PCV valve is needed to secure for continuous competition against foreign automobile companies. In this study, we used 4th order Runge-Kutta method for the prediction of spool movements and applied Bernoulli's equation for the determination of flow area. A spool geometry and spool displacement were predicted to be satisfied in comparison with their experiment.

• 유통과학연구
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• 제13권1호
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• pp.7-18
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• 2015

Purpose - This study integrates a corporate competition system with a bird predation system to examine how organizational strategic adjustment capacity influences firm performance. By proving the prominent effects on performance, a financial vector is constructed to represent corporate strategic adjustment results, and an operation capacity vector is constructed, which can be categorized as a parameter for locating birds. All these works help us to propose a new method of investment, the portfolio decision model based on the strategic adjustment capacity. Research design, data, and methodology - Strategic adjustment capacity can be decomposed into three aspects: the organizational learning capacity from the top firms, the extent to which firms maintainor rely on the best operational capacity vector in history, and the ability to eliminate the disadvantages or retain the advantages of the operation capacity vector from the previous year. The method of solving cyclic equations is designed to evaluate strategic adjustment. Firms manufacturing specialized equipment are chosen to test the effects of the strategic adjustment capacity on three aspects of firm performance. Results - There is a positive correlation between the capacity to learn from the best firms and performance improvement. The relationship between the dependence or maintenance of a firm's advantages and performance improvement is a U-shape curve, and there is no significant effect of inertial control on performance improvement. Conclusions - A firm's competition system is a sophisticated adaptation, and competitive advantage and performance can be investigated based on the principles of competition in nature.

• 복식문화연구
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• 제30권1호
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• pp.161-171
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• 2022

Traditional tie-dyeing is widely implemented in the clothing handicraft culture in China, South Korea, and Japan. Since it was developed 2,000 years ago, it has become a popular method of fabric making in the world and is highly respected by fashion designers. Based on the existing traditional tie-dyeing methods, this study conducted specific research on the 3D printing technology of the SLS laser method and the micro tool design application method of the clamp-dyeing process. Through the experimental methods of this study, it proposes to use the "7000 Nylon" material, which is commonly used in 3D printing, to develop a new clamp-dyeing tool. This new tool can be widely used in the clamp-dyeing of fabrics, such as cotton, hemp, silk, and some chemical fibers. The applied method and principle can be consistent with the traditional clamp-dyeing method. Therefore, the innovation of tie-dyeing technology is the best protection measure for the development and inheritance of traditional fabric making. The continuation of artistic life needs originality, which is also the best response to market competition. At the same time, this new design of the clamp-dyeing tool has the characteristics of novelty, innovation, and rich changes, which aligns with the new fashion demands of current fabric design.

• 유통과학연구
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• 제11권3호
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• pp.13-22
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• 2013

Purpose - Product purpose for optimal values solution for synthesize evaluative criteria and optimize product design values. In addition, product designer has to consider the product design to conform to project, laws and regulations, authentication, from the product design stage. Research design, data, methodology - How to use an evaluative criteria model's imprecise market data by evaluative criteria research design; product mapping relationships between design parameters and customer requirements using product predicted value method. An evaluative criteria model and their associated criteria status, product evaluative criteria model of results. Results - Therefore, after the enterprise product design project analysis, effectiveness and the customer degree of satisfaction must be appraised to obtain the maximum value for the benefit on behalf of the implementation goals, the promotion product level and market competition strength. Conclusions - In multi criterion decision making (MCDM), using its searching software capacity to obtain the optimal solution.

• 대한토목학회논문집
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• 제34권6호
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• pp.1881-1891
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• 2014

2010년부터 턴키심의위원 풀 제도를 폐지하고, 상설심의위원 제도를 도입하여 현재까지 턴키입찰공사는 설계적합최적가방식, 종합평가방식으로서는 입찰가격, 설계점수조정, 가중치기준, 확정금액최상설계방식의 5가지 낙찰자 결정방식으로 선정하고 있다. 또한 낙찰자 결정방식으로서 설계심의분과위원회를 크게 중앙 지방 특별 설계자문위원회의 분과위원으로 구성하여 운영하고 있으나, 아직 로비 부담에 대해서 개선되지 못한 것은 심의위원 풀제에서 상설심의위원으로 심의 주체만 변경되었을 뿐, 턴키입찰에서 설계심의가 가지는 비중과 설계심의방식도 과거와 유사하기 때문이다. 그러므로 가격경쟁을 부분적으로 강화하여 설계점수가 낙찰을 좌우하는 풍토를 개선하고, 기술경쟁은 영업력보다 실질적인 기술력이 경쟁력을 가질 수 있도록 설계심의제도를 개선하는 것이 필요하다. 이에 이 연구는 낙찰자 결정방식의 설계심의 운영제도와 문제점 그리고 개선된 설계심의방안을 제시하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권6호
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• pp.2251-2270
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• 2015

More than 1 billion mobile apps (smartphone applications) have been released worldwide. Competition among developers of apps that are available in app stores has intensified because of increasing demand. App icons with an appealing design can instantly increase attention. Miryoku Engineering methods were used and combined with the Kansei interface model to examine the relationship between attractive icons and users. The evaluation grid method (EGM) is a qualitative method that was used to evaluate the icons, and Quantification Theory Type I is a quantitative method that was used to analyze the influence of design elements in icons. Eight attractive factors of app icons were determined using EGM, and six specific factors were identified using questionnaires. The quantitative results indicated that user cognition and emotion were influenced by the various design elements. The impact on the attractive factors of a single design element differed among users with diverse backgrounds. App icons were assessed on the basis of aesthetics to identify attractive factors and thereby assist designers in understanding and implementing design elements and improving the overall visual appeal of their apps. The result of this investigation is crucial to the presentation of app icons in online app stores.