• International Journal of Aeronautical and Space Sciences
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• 제17권2호
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• pp.195-203
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• 2016

In order to overcome the influence of system stability and accuracy caused by uncertainty, estimation errors and external disturbances in Eight-Rotor MAV, L2 gain control method was proposed based on interval type II fuzzy neural network identification here. In this control strategy, interval type II fuzzy neural network is used to estimate the uncertainty and non-linearity factor of the dynamic system, the adaptive variable structure controller is applied to compensate the estimation errors of interval type II fuzzy neural network, and at last, L2 gain control method is employed to suppress the effect produced by external disturbance on system, which is expected to possess robustness for the uncertainty and non-linearity. Finally, the validity of the L2 gain control method based on interval type II fuzzy neural network identifier applied to the Eight-Rotor MAV attitude system has been verified by three prototy experiments.

• 한국유통학회지:유통연구
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• 제16권2호
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• pp.57-94
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• 2011

자사 온라인점포로 고객 방문을 이끌어내기 위해 마케터는 고객의 욕구를 반영한 웹사이트를 구축한다. 기존 연구의 상당수는 온라인점포에서 고객의 반응에 영향을 주는 기술적, 기능적, 내적 특성 변수들에 관한 것이어서 소비자 심리, 외적 단서 변수에 관한 연구는 미흡하였다. 이에 본 연구에서는 관계의 선행 변수로 제시되는 개성을 온라인에서의 점포 개성으로 하여 점포 충성도에 미치는 영향을 소비자 심리 변수인 동일시, 신뢰, 인게이지먼트를 매개변수로 고려하여 이들 변수의 구조적 인과관계를 규명해 보았다. 연구결과, 온라인에서도 점포 개성이 존재하며 온라인점포 개성의 일부 차원이 동일시에 긍정적인 영향을 미치고 동일시는 점포 충성도에 직접적인 영향을 미치기도 하지만 신뢰와 인게이지먼트를 매개하여 간접적인 영향도 주는 것으로 나타났다. 연구의 후반부에 본 연구의 시사점, 한계, 향후 연구 방향을 제시하였다.

• International Journal of Oral Biology
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• 제31권1호
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• pp.11-14
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• 2006

This study was undertaken to develop PCR primers for the identification and detection of Streptococcus anginosus using species-specific forward and reverse primers. These primers targeted the variable regions of the 16S ribosomal RNA coding gene(rDNA). The primer specificity was tested against 12 S. anginosus strains and 6 different species(10 strains) of oral bacteria. The primer sensitivity was determined by testing serial dilutions of the purified genomic DNA of S. anginosus ATCC $33397^T$. The data showed that species-specific amplicons were obtained from all the S. anginosus strains tested, but not in the six other species. The PCR could detect as little as 0.4pg of the chromosomal DNA from S. anginosus. This suggests that the PCR primers are highly sensitive and applicable to the detection and identification of S. anginosus.

• 한국축산식품학회지
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• 제26권3호
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• pp.375-379
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• 2006

Food labeling regulations require that the meat species in various meat products are accurately declared to the consumer. Substitution or adulteration of costly meat with a cheaper one is one of the most common problems in the meat industry. In this study, PCR-restriction fragment length polymorphism(RFLP) method of the mitochondrial cytochrome b(mt cyt b) gene has been applied for identification of the origin of six mammalian meat species(beef, port horse, goat, mutton and deer) and three poultry meat species(chicken, turkey and duck) as raw materials for meat products. PCR was used to amplify a variable region of mt cyt b gene. Meat species differentiation was determined by digestion of the amplified products with a 359 bp fragment using HaeIII and HinfI restriction enzymes, which generated species-specific RFLP patterns. This PCR-RFLP DNA marker of mt cyt b gene could be very useful for the accurate and reliable identification and discrimination of animal meat species in routine analysis.

• 한국정보통신학회논문지
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• 제15권5호
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• pp.1045-1052
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• 2011

최근 복합 문화 시설이 증가하면서 지하 공간 활용이 확대됨에 따라, 사용자의 실내 위치에 따른 주변 정보만을 무선으로 제공해주는 맞춤형 서비스에 대한 요구도 확산되고 있다. LED 조명을 이용한 가시광 통신 방식의 경우, GPS를 사용할 수 없는 실내 공간에서 위치 기반 서비스를 구현하기에 적합하다. 이에 본 논문에서는 가시광 통신을 이용한 실내 위치 기반 서비스를 구현하기 위해 기준 위치를 구분하는 실험에 대해 다룬다. LED 조명의 특성을 고려하여 LED와 PD 간의 각도 및 거리에 따라 LED 조명별로 서로 다른 식별 패턴을 ASCII 코드로 전송한 결과 최대 1.75m의 거리까지 LED 조명의 식별자를 수신할 수 있음을 확인한다. 이러한 실험 결과를 통하여 LED 조명을 이용한 실내 네비게이션의 가능성을 확인해볼 수 있다.

• 한국의류학회지
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• 제34권9호
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• pp.1515-1526
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• 2010

Consumer expectations for ethical businesses have become increasingly high in recent years; the fashion industry is working to implement greater corporate social responsibility (CSR). This study establishes the effects of the evaluation for participation in fashion brand CSR on perceived purchase values. In particular, the process for the evaluation for participation that affect the perceived purchase value through consumer-brand identifications (personal/social) was verified and how the consumer regulatory focuses would influence this process was identified. For this study, an on-line survey was conducted that included a series of filtering questions that measured the level of social concern of respondents. Valid data from 505 female consumers were analyzed for the structure equation modeling. The empirical results suggested that the evaluation for participation in fashion brand CSR positively affected the two dimensions of consumer-brand identification; personal identification and social identification. In addition, consumer-brand identification played a role as a mediating variable in the path to influence the perceived purchase values of CSR brands. Lastly, there were differences in reactions to CSR activities by consumer groups with different regulatory focuses. The effect of the evaluation for participation in fashion brand CSR was shown to be higher for consumers with promotion focuses than on consumers with prevention focuses. The results of this study will help fashion companies understand the importance of the consumer participation in CSR by having consumers participate in ethical consumption.

• Smart Structures and Systems
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• 제18권5호
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• pp.955-982
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• 2016

Recent studies integrating vibration control and structural health monitoring (SHM) use control devices and control algorithms to enable system identification and damage detection. In this study real-time SHM is used to enhance structural vibration control and reduce damage. A newly proposed control algorithm, including integrated real-time SHM and semi-active control strategy, is presented to mitigate both damage and seismic response of the main structure under strong seismic ground motion. The semi-active independently variable stiffness (SAIVS) device is used as semi-active control device in this investigation. The proper stiffness of SAIVS device is obtained using a new developed semi-active control algorithm based on real-time damage tracking of structure by damage detection algorithm based on identified system Markov parameters (DDA/ISMP) method. A three bay five story steel braced frame structure, which is equipped with one SAIVS device at each story, is employed to illustrate the efficiency of the proposed algorithm. The obtained results show that the proposed control algorithm could significantly decrease damage in most parts of the structure. Also, the dynamic response of the structure is effectively reduced by using the proposed control algorithm during four strong earthquakes. In comparison to passive on and off cases, the results demonstrate that the performance of the proposed control algorithm in decreasing both damage and dynamic responses of structure is significantly enhanced than the passive cases. Furthermore, from the energy consumption point of view the maximum and the cumulative control force in the proposed control algorithm is less than the passive-on case, considerably.

• Communications for Statistical Applications and Methods
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• 제22권6호
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• pp.575-587
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• 2015

The development in data collection techniques results in high dimensional data sets, where discrimination is an important and commonly encountered problem that are crucial to resolve when high dimensional data is heterogeneous (non-common variance covariance structure for classes). An example of this is to classify microbial habitat preferences based on codon/bi-codon usage. Habitat preference is important to study for evolutionary genetic relationships and may help industry produce specific enzymes. Most classification procedures assume homogeneity (common variance covariance structure for all classes), which is not guaranteed in most high dimensional data sets. We have introduced regularized elimination in partial least square coupled with QDA (rePLS-QDA) for the parsimonious variable selection and classification of high dimensional heterogeneous data sets based on recently introduced regularized elimination for variable selection in partial least square (rePLS) and heterogeneous classification procedure quadratic discriminant analysis (QDA). A comparison of proposed and existing methods is conducted over the simulated data set; in addition, the proposed procedure is implemented to classify microbial habitat preferences by their codon/bi-codon usage. Five bacterial habitats (Aquatic, Host Associated, Multiple, Specialized and Terrestrial) are modeled. The classification accuracy of each habitat is satisfactory and ranges from 89.1% to 100% on test data. Interesting codon/bi-codons usage, their mutual interactions influential for respective habitat preference are identified. The proposed method also produced results that concurred with known biological characteristics that will help researchers better understand divergence of species.

• Structural Engineering and Mechanics
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• 제31권1호
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• pp.57-74
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• 2009

Power signals resulting from spindle and feed motor, present a rich content of physical information, the appropriate analysis of which can lead to the clear identification of the nature of the tool wear. The partial least-squares regression (PLSR) method has been established as the tool wear analysis method for this purpose. Firstly, the results of the application of widely used techniques are given and their limitations of prior methods are delineated. Secondly, the application of PLSR is proposed. The singular value theory is used to noise reduction. According to grey relational degree analysis, sample variable is filtered as part sample variable and all sample variables as independent variables for modelling, and the tool wear is taken as dependent variable, thus PLSR model is built up through adapting to several experimental data of tool wear in different milling process. Finally, the prediction value of tool wear is compare with actual value, in order to test whether the model of the tool wear can adopt to new measuring data on the independent variable. In the new different cutting process, milling tool wear was predicted by the methods of PLSR and MLR (Multivariate Linear Regression) as well as BPNN (BP Neural Network) at the same time. Experimental results show that the methods can meet the needs of the engineering and PLSR is more suitable for monitoring tool wear.

• 디지털융복합연구
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• 제14권1호
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• pp.445-452
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• 2016

본 연구는 프로야구 팬의 팀동일시와 팀충성도가 모기업 제품에 대한 구매의도에 어떠한 영향을 미치고 있는가를 실증적으로 검증하는데 목적이 있다. 이를 위해 프로야구팀 중 국내 대표적 전자제품 제조사를 모기업으로 두고 있는 삼성라이온스와 LG트윈스 팬을 연구대상으로 278명의 설문조사를 실시하여 다음과 같은 연구결과를 얻었다. 첫째, 프로야구 팬의 팀동일시는 팀충성도에 정(+)적인 영향을 미치고 있다. 둘째, 프로야구 팬의 팀충성도는 모기업 제품 구매의도에 정(+)적인 영향을 미치고 있다. 셋째, 팀충성도는 팀동일시와 모기업 제품 구매의도간을 매개하는 효과가 있다. 이상의 연구결과를 종합하여 볼 때, 팀동일시는 모기업 제품 구매의도에 긍정적인 영향을 미치는 주요 변인이며, 팀충성도는 이를 매개하는 효과가 있음을 확인하였다.