• Journal of Electrical Engineering and Technology
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• 제10권6호
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• pp.2315-2325
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• 2015

Induction motors are widely used in industrial processes since they offer a very high degree of reliability. But like any other machine, they are vulnerable to faults, which if left unmonitored, might lead to an unexpected interruption at the industrial plant. Therefore, the condition monitoring of the induction motors have been a challenging topic for many electrical machine researchers. Indeed, the effectiveness of the fault diagnosis and prognosis techniques depends very much on the quality of the fault features selection. However, in induction-motor drives, rotor defects are the most complex in terms of detection since they interact with the supply frequency within a restricted band around this frequency, especially in the no-loaded case. To overcome this drawback, this paper deals with an efficient and new method to diagnose the induction-motor rotor fault based on the digital implementation of the monitoring algorithm based on the association of the Time Synchronous Averaging technique and Discrete Wavelet Transform. Experimental results are presented in order to show the effectiveness of the proposed method. The obtained results are largely satisfactory, indicating a promising industrial application of the combined “Time Synchronous Averaging – Discrete Wavelet Transform” approach.

• ETRI Journal
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• 제35권6호
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• pp.1105-1114
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• 2013

Owing to the large number of video programs available, a method for accessing preferred videos efficiently through personalized video summaries and clips is needed. The automatic recognition of user states when viewing a video is essential for extracting meaningful video segments. Although there have been many studies on emotion recognition using various user responses, electroencephalogram (EEG)-based research on preference recognition of videos is at its very early stages. This paper proposes classification models based on linear and nonlinear classifiers using EEG features of band power (BP) values and asymmetry scores for four preference classes. As a result, the quadratic-discriminant-analysis-based model using BP features achieves a classification accuracy of 97.39% (${\pm}0.73%$), and the models based on the other nonlinear classifiers using the BP features achieve an accuracy of over 96%, which is superior to that of previous work only for binary preference classification. The result proves that the proposed approach is sufficient for employment in personalized video segmentation with high accuracy and classification power.

• JSTS:Journal of Semiconductor Technology and Science
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• 제12권1호
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• pp.107-116
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• 2012

In this paper, the trade-off related to bandwidth of high-speed common-mode logic frequency divider is analyzed in detail. A method to optimize the operating frequency, band-width as well as power consumption is proposed. This method is based on bipolar device characteristics, whereby a negative resistance model can be used to estimate the optimal normalized upper frequency and lower frequency of frequency dividers under different conditions, which is conventionally ignored in literatures. This method provides a simple but efficient procedure in designing high performance frequency dividers for different applications. To verify the proposed method, a static divide-by-2 at millimeter wave ranges is implemented in 180 nm SiGe technology. Measurement results of the divider demonstrate significant improvement in the figure of merit as compared with literatures.

• 대한전자공학회논문지SP
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• 제40권5호
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• pp.365-370
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• 2003

항공이나 위성 영상과 같이 고주파 성분을 많이 포함하고 있는 영상에 워터마크를 삽입하기 위해 웨이블릿 패킷 변환을 이용한 새로운 워터마킹 방법을 제안한다. 제안된 워터마킹 알고리즘은 최저 주파수대역을 포함한 전대역에 걸쳐 워터마크를 삽입한다. 워터마크는 웨이블릿 패킷 계수 중에서 중요계수를 선택한 후에 원 영상에 삽입된다. 워터마크가 삽입될 위치의 중요계수는 CPSO를 이용하여 웨이블릿 패킷 변환에 제로트리기법을 적용하여 전대역에 걸쳐 선택한다. 실험결과는 제안된 알고리즘이 비가시적이고 강인함을 보여준다. 특히 고주파 성분이 많이 포함되어 있는 영상을 고압축하는 경우에도 강인함을 보여준다.

• 대한토목학회논문집
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• 제36권2호
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• pp.191-196
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• 2016

파동의 에돌이와 공명식 머플러 원리를 이용하여 통풍형 방음을 구현하고 그 이론을 설명하였다. 이 방음기술은 차단하고자 하는 주파수영역의 선택이 가능하다. 방음벽을 이중으로 만들고 그 사이를 비워, 방음벽의 구멍을 통해 들어온 음파가 내부에서 공진하여 소멸되도록 하였다. 두께 8cm인 공진통마다 직경 5cm의 공기구멍을 2개씩 뚫고 실험한 결과 넓은 주파수영역대서 평균 25dB정도의 차음효과가 있었다. 일본 컴넥스사의 산란에 의한 투과손실만 있는 경우와의 차음효과를 비교한 결과 같은 통풍능력인 경우에 적어도 10dB이상 차음효과가 높았다. 또한 컴넥스사의 기술은 차음주파수 영역을 선택할 수 없다는 한계가 있었다.

• 대한의생명과학회지
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• 제8권1호
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• pp.29-37
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• 2002

Listeria monocytogenes poses an increasing health risk, which in part is due to increasing health risk, consumption of ready-to-eat food products and the introduction of increasing numbers of food products from regions with different dietary habits. L. monocytogenes can be present in meat, shellfish, vegetables, unpasteurised milk and soft cheese and poses a risk if food containing these products is stored at refrigeration temperature and is not properly heated before consumption, as L. monocytogenes is psychrophilic. Amplified-fragment length polymorphism (AFLP) analysis is the method of genotypic techinique in which adaptor oligonucleotides are ligated to restriction enzyme fragments and then used as target sites for primers in a PCR amplification. The amplified fragments are electrophoretically separated to give strain-specific band profiles. Single-enzyme approach that did not require costly equipment or reagents for the fingerprinting of strains of Listeria monocytogenes was developed. Single-enzyme amplified fragment length polymorphism (SE-AFLP) analysis was used to perform species and strain identification of Salmonella, Shigella, Yersinia and E. coli. By careful selection of AFLP primers, it was possible to obtain reproducible and sensitive identification to strain level. The AFLP patterns of L. monocytogenes are divided by the kinds of specimens in which were isolated. SE-AFLP fragments can be analyzed using standard gel electrophoresis, and can be easily scored by visual inspection, due to the low complexity of the fingerprint obtained by this method. These features make SE-AFLP suitable for use in either field or laboratory applications.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권2호
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• pp.883-900
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• 2017

In this paper block based blind secure gray image watermarking scheme based on discrete wavelet transform and singular value decomposition is proposed. In devising the proposed scheme, security is given high importance along with other two requirements: robustness and imperceptibility. The use of discrete wavelet transform not only improves robustness but the selection of bands with high tolerance towards noise caused an improvement in terms of imperceptibility. The robustness further improved due to the involvement of singular vectors along with singular values in watermark embedding and extraction process. Finally, to achieve security, the selected DWT band is decomposed into smaller blocks and random blocks are chosen for modification. Furthermore, the elements of left and right singular vectors of selected blocks are chosen based on their dependence upon each other for watermark embedding. Various experiments using different images as host and watermark were conducted to examine and validate the proposed technique. Additionally, the proposed technique is tested against various attacks like compression, affine transformation, cropping, translation, X shearing, scaling, Y shearing, filtering, blurring, different kinds of noises, histogram equalization, rotation, etc. Lastly, the proposed technique is compared with state-of-the-art watermarking techniques and their comparison shows significant improvement of proposed scheme over existing techniques.

• 한국항공우주학회지
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• 제30권1호
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• pp.82-87
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• 2002

다목적 실용위성과 같은 저궤도 위성에서의 자세결정은 태양획득에서 중요한 문제이다. 특히, 다목적 실용위성의 태양획득 모드에서는 위성의 피치와 요의 각은 태양 센서로 알 수 있기 때문에 위성의 롤 방향만이 태양을 지향하고 있다. 즉, 한 축의 방향을 알고 있을 때 나머지 두 축의 관성 좌표계에 대한 자세를 결정하는 문제가 된다. 본 논문은 일반적인 저궤도 위성의 3축 중에서 한 축의 방향을 알고 있을 때 위성의 자세를 결정하는 새로운 방법을 제시하고 다양한 모의실험을 통해서 그 유용성을 검증한다.

• Plant Resources
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• 제1권1호
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• pp.6-12
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• 1998

The Fp1 gene, originally isolated from red pepper seedlings, encode the iron storage protein, and have a high homology with ferritin genes at DNA and amino acid level. In order to determine ferritin protein expression in vegetative tissue. Fp1 gene was constructed in plant expression vector(PIG12IHm) and introduced in red pepper(var. Bukang, Chungyang and Kalag-Kimjang 2) via Agrobacterium tumefaciensmediated transformation. After selection on MS media containing Kanamycin(Km), putatively selected transformants were confirmed by amplification of selectable marker gene(Fp1 and NPII) by polymerase chain reaction. Northern blot showed that transcripts of Fp1 gene were detected in mature leaves of the plants. In A6, A7 and A8 and A14 of transgenic plants, transcript of Fp1 gene was increased seven-fold to eight-fold than other transgenic plants. Also the proteins obtained from leaves of transgenic plants were immunologically detected by Western blot using rabbit anti-ferritin polyclonal antibody. The expression protein appeared as strong band of apparent mass of 23.5kDa. suggesting the iron accumulation in transgenic red pepper plants.

• 한국토양비료학회지
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• 제50권5호
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• pp.409-421
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• 2017

Recently Unmanned Aerial Vehicle (UAV) technology offers new opportunities for assessing crop growth condition using UAV imagery. The objective of this study was to select optimal vegetation indices and regression model for estimating of rice growth using UAV images. This study was conducted using a fixed-wing UAV (Model : Ebee) with Cannon S110 and Cannon IXUS camera during farming season in 2016 on the experiment field of National Institute of Crop Science. Before heading stage of rice, there were strong relationships between rice growth parameters (plant height, dry weight and LAI (Leaf Area Index)) and NDVI (Normalized Difference Vegetation Index) using natural exponential function ($R{\geq}0.97$). After heading stage, there were strong relationships between rice dry weight and NDVI, gNDVI (green NDVI), RVI (Ratio Vegetation Index), CI-G (Chlorophyll Index-Green) using quadratic function ($R{\leq}-0.98$). There were no apparent relationships between rice growth parameters and vegetation indices using only Red-Green-Blue band images.