• Agribusiness and Information Management
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• 제5권2호
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• pp.17-26
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• 2013

The purpose of this study is to prove that new values for the agricultural food area can be created by combining various big data collected in the agricultural food area and analyzing them in an appropriate analysis method. For this, the analysis techniques generally used were studied, and the use of the big data in the various areas of the current society was explored through practical application instances. In addition, by the current status and analysis instances of the big data use in the agricultural food area, this study was conducted to verify how the new values found were being used.

• 한국의류산업학회지
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• 제23권4호
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• pp.423-438
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• 2021

This study compared and analyzed the direction of Louis Vuitton creative directors Kim Jones and Virgil Abloh. Accordingly, 485 photos(251 Kim Jones, 234 Virgil Abloh) were collected. For data analysis, statistical and content analyses were combined. First, as for the overall design characteristics of creative director Kim Jones, complex colors, colorful barrels, tone-in-tone color schemes, H-line, plain fabrics, soft materials, heterogeneous material combinations, casual style. Second, as for the overall design characteristics of creative director Virgil Abloh, achromatic color, colorful tone, tone-on-tone color scheme, I-line, plain fabric, soft material, similar material combination, casual style. There were significant differences in color, tone, color scheme, silhouette, pattern, material type, material combination, fashion image, detail, trimming, top and bottom that differed in the creative directors' design direction. Therefore, it appears that Kim Jones has been directing the luxurious and unique men's wear through H-line, coat and slim pants, colorful color combination, soft material, heterogeneous material combination, plain fabric, and chic active sensibility. Meanwhile, Virgil Abloh is directing men's wear in a loose and trendy street mood through the I-line, jacket and wide pants, achromatic color, soft material, plain fabric, similar material combinations, and soft and sophisticated modern sensibility.

• 한국전자거래학회지
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• 제7권3호
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• pp.93-103
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• 2002

The combination of data warehousing and Internet technology produces a new concept - web warehousing. Due to the availability of web technologies and the need to make prompt decisions with timely information, web warehousing is emerging as a key strategic business weapon. Yet despite the many promising benefits of web warehousing, researchers have also identified several challenges, including scalability and availability. With the rise of the Internet and data centric computing applications, the use of new Storage Area Network (SAN) technology has been spotlighted for the possibility of a new data repository for web warehousing. In this article, the two new concepts of web warehousing and storage area networks are introduced. In particular, a SAN is discussed in detail as an alternative data repository to overcome the current limitations of web warehousing.

• 복식문화연구
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• 제9권1호
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• pp.45-60
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• 2001

The purpose of this research is to offer basic data for the study of men's suit by investigating purchase behavior and fit of men's ready-made suit for Koran adult men. The subjects were male who aged 25∼39 and resided in Seoul, Kyunggi and Chungnam regions. The results of the research are summarized as the following : 1. Male consumers purchase suit most frequency at department, specially stores. As the consumers grow older dependency on their spouses'opinion for purchase decision increases. The standards of purchasing are stated to e design, price and color. 2. the male consumers are generally knowledgeable about the current sizing system. Yet, the knowledge is confused with the pst and present systems. 3. When the male consumers purchase, they consider mainly for the fit of th d\\body part are shoulders for the jacket and waist, hip for the pants. 4. The attitude to toward the combination of sizes for the jacket is comparatively satisfaction than pants. Specially, most negative part of jacket is the length of sleeve.

• 한국정보통신학회논문지
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• 제12권7호
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• pp.1243-1248
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• 2008

최근 생명 정보학 기술의 발달로 마이크로 단위의 실험조작이 가능해짐에 따라 하나의 chip상에서 전체 genome의 expression pattern을 관찰할 수 있게 되었고, 동시에 수 만개의 유전자들 간치 상호작용도 연구 가능하게 되었다. 본 논문에서는 암에 걸린 흰쥐 외피 기간 세포 분화 실험에서 얻어진 3840 유전자의 마이크로어레이 cDNA를 이용해 데이터의 정규화를 거쳐 본 논문에서 제안한 유사성 척도 조합 방법으로 정보력 있는 유전자들을 추출한 후, 유사성 척도 조합 방법과 결합한 멀티퍼셉트론 신경망 분류기와 기존의 DT, NB, SVM 분류기를 이용하여 클래스 분류 시스템을 구축하고, 성능을 비교분석하였다. 피어슨 적률 상관 계수와 유클리디안 거리 계수 조합을 이용하여 선택된 200 유전사들을 멀티퍼셉트론 신경망 분류기로 분류한 결과 98.84%의 정확도를 보여 다른 분류기를 이용하여 실험을 수행한 경우보다 향상된 분류 성능을 보였다.

• 한국건설관리학회논문집
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• 제23권6호
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• pp.21-29
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• 2022

건설 프로젝트의 성공적인 수행을 위해 공정 생산성 예측이 필수적으로 요구된다. 특히, 시공 단계 이전에 수행되는 계획의 정확도 및 실효성은 시공 단계의 성과에 큰 영향을 미친다. 기존의 생산성 예측은 표준품셈과 같은 기존 문헌 참고를 통해 수행된다. 그러나 이러한 방법은 변화하는 조건을 즉각적으로 반영하는 것과 공사 수행에 필요한 최적의 장비 조합을 도출하는 것이 어렵다. 본 연구에서는 이산 이벤트 시뮬레이션 기술을 이용하여 장비 조합에 따른 생산성 데이터베이스 구축 방법을 제시하였다. 제시된 방법을 통해 표준품셈 기반 공정 계획 수립을 하는 관리자에게 굴삭기, 로더, 덤프트럭 등으로 수행되는 작업에 대한 최적 시공 계획 수립을 할 수 있을 것이라 예상된다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.2209-2212
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• 2003

In this paper, we propose the method to extract the important frequency bands from the EMG signal, and for generation of feature vector using the important frequency bands. The EMG signal is measured with 4 sensor and is recorded as 4 channel’s time series data. The same frequency bands from 4 channel’s frequency components are selected as the important frequency bands. The feature vector is calculated by the function formed using the combination of selected same important frequency bands. The EMG signals acquired from seven wrist motion type are recognized by changing into the feature vector formed. Then, the extraction and generation is performed by using the double combination of the genetic algorithm (GA) and the neural network (NN). Finally, in order to illustrate the effectiveness of the proposed method, computer simulations are done.

• Journal of Information Processing Systems
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• 제18권2호
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• pp.268-281
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• 2022

The development of information technology is bringing many changes to everyday life, and machine learning can be used as a technique to solve a wide range of real-world problems. Analysis and utilization of data are essential processes in applying machine learning to real-world problems. As a method of processing data in machine learning, we propose an approach based on applying multiple linear regression models by interlacing data to the task of classifying similar software. Linear regression is widely used in estimation problems to model the relationship between input and output data. In our approach, multiple linear regression models are generated by training on interlaced feature data. A combination of these multiple models is then used as the prediction model for classifying similar software. Experiments are performed to evaluate the proposed approach as compared to conventional linear regression, and the experimental results show that the proposed method classifies similar software more accurately than the conventional model. We anticipate the proposed approach to be applied to various kinds of classification problems to improve the accuracy of conventional linear regression.

• Journal of Astronomy and Space Sciences
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• 제33권4호
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• pp.265-271
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• 2016

Interplanetary scintillation-driven (IPS-driven) ENLIL model was jointly developed by University of California, San Diego (UCSD) and National Aeronaucics and Space Administration/Goddard Space Flight Center (NASA/GSFC). The model has been in operation by Korean Space Weather Cetner (KSWC) since 2014. IPS-driven ENLIL model has a variety of ambient solar wind parameters and the results of the model depend on the combination of these parameters. We have conducted researches to determine the best combination of parameters to improve the performance of the IPS-driven ENLIL model. The model results with input of 1,440 combinations of parameters are compared with the Advanced Composition Explorer (ACE) observation data. In this way, the top 10 parameter sets showing best performance were determined. Finally, the characteristics of the parameter sets were analyzed and application of the results to IPS-driven ENLIL model was discussed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권1호
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• pp.287-304
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• 2012

Spectrum sensing is an important functionality for cognitive users to look for spectrum holes before taking transmission in dynamic spectrum access model. Unlike previous works that assume perfect knowledge of the SNR of the signal received from the primary user, in this paper we consider a realistic case where the SNR of the primary user's signal is unknown to both fusion center and cognitive radio terminals. A Kalman filter based adaptive Takagi and Sugeno's fuzzy system is designed to make the global spectrum sensing decision based on the observed energies from cognitive users. With the capacity of adapting system parameters, the fusion center can make a global sensing decision reliably without any requirement of channel state information, prior knowledge and prior probabilities of the primary user's signal. Numerical results prove that the sensing performance of the proposed scheme outperforms the performance of the equal gain combination based scheme, and matches the performance of the optimal soft combination scheme.