• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.926-927
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• 2019

본 논문은 개방형 얼굴 인식 문제를 다룬다. 이 문제는 학습되지 않는 대상에 의해 발생하는 거짓 양성 오류문제를 포함하며, 이로 인해 얼굴인식 기술을 보안 시스템에 적용하는 것을 어렵게 만든다. 본 논문에서는 이러한 개방형 얼굴 인식 문제를 효과적으로 해결하기 위해 먼저 얼굴 검증 방법으로 식별력이 강한 특징 벡터를 생성하고, 이를 바탕으로 일반적인 분류기가 아닌 추가학습과 실시간 처리가 가능한 군집화 방식의 알고리즘을 제안한다. 이 방법을 적용한 실험 결과 80 명의 얼굴이 포함된 FaceScrub 데이터 세트에서 4 명을 제외하고 학습시켰을 때 98%의 정확도와 0%의 특이도를 얻을 수 있었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.12
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• pp.2836-2842
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• 2010

An NPC grouping method is proposed for various 3D games depending on their characteristics. Immovable objects tend to have particular orientation features in their Gabor filtering results whereas the movable objects controlled by AI appearing as a human or an animal do not. First of all, We analyzed directional and frequency domain features in the NPC object and configured them as 24 Gabor filter banks. Then, 24-dimensional feature vectors according to the scale and direction of the filter are calculated. Each extracted vector represents the energy of a certain direction. This energy indicates the particular direction strength of the object texture. Thus, using this property, NPCs could be grouped as artificial objects and natural objects effectively and it draws the game more speed and strategic actions as a result.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.289-290
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• 2022

Arteriosclerosis is a disease in which the carotid vessel wall becomes thick, and it is important to monitor the thickness of the vessel wall for diagnosis. In this study, we propose a model for extracting 324 radiomics features from carotid MRI images and diagnosing arteriosclerosis using machine learning techniques. We learned a total of four classification models: logistic regression, support vector machine, random forest, and XGBoost through radiomics features. XGBoost model, which showed the highest performance in 5-fold cross-validation, shows the results of accuracy 0.9023, sensitivity 0.9517, specificity 0.8035, AUC 0.8776.

• Korean Journal of Head & Neck Oncology
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• v.13 no.2
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• pp.169-179
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• 1997

서론 : Laminin의 수용기로 알려진 Integrin $\alpha6\beta4$의 세포내 표현 정도는 편평상피암을 위시한 여러 악성종양의 전이능력 및 예후와 밀접한 상관관계가 없다고 알려져 있다. 이 Integrin은 Laminin과 같은 세포와 리간드와 결합하면 상피세포의 기저막 지주 구조물인 hemidesmosome의 세포체질 요소(cytoskeletal element)와 연관되어 그 결과 세포의 기저막과 세포내 케라틴을 연결하는 역할을 한다. Integrin $\alpha6\beta4$는 구조적으로 다른 많은 integrin들과 달리 $\beta$4의 세포질내 영역(cytoplasmic domain)이 특징적으로 크다. 이 세포질내 영역 $\beta$4 integrin의 기능은 아직 밝혀지지 않고 있으나 아마 세포 성장의 신호전달 및 악성종양의 특징인 침윤 전이에 관련할 것으로 보아지고 있다. 재료 및 방법: 저자들은 우선 $\beta$4 integrin의 wild type s-DNA와 $\beta$4 세포질내 영역(cytoplasmic domain) 및 $\beta$4의 tyrosine 인산화 반응 부위가 각각 결손된 c-DNA를 PCR을 통하여 합성하여 pRc/CMV 벡터에 삽입한 후 원래 $\beta$4 integrin의 발현이 결집된 인간 방광암 세포에 Calcium phosphate precipitation 방법으로 주입(transfection)시켜 형질변환된 세포를 면역형광법, Flow cytometry 및 Immunoprecipitation 방법으로 클로닝하여 wild type $\beta$4-full length(Clone FL), truncated $\beta$4-cytoplasmic domain(C1one CD), 및 mutated $\beta$4-tyrosine phosphorylation site (Clone M)을 얻었다. 암 세포의 부착 및 침투 능력의 기능적 연구로 모노 클로날 항체와 fibronectin, laminin, Matrigel을 단백질 기질로 사용하였으며 결과 비교를 위하여 pRc/CMV 벡터만 주입시켰던 클로운과 방광암 세포주를 $\beta$4 integrin 음성 대조군으로 또한 이 Integrin의 높은 발현을 보이는 두경부 편평상피암 세포주를 양성 대조군으로 이용하였다. 결과 : 세포부착능력에 있어서 온전한 $\beta$4 cytoplasmic domain이 존재하는 클로운이 laminin에 강한 부착능력을 보였으나 fibronectin의 부착정도는 $\beta$4 integrin의 표현정도와 관계없이 모든 클로운에서 비슷하였다. Matrigel을 투과하는 암세포 침윤 능력에서는 $\beta$4 integrin의 표현이 존재하는 클로운들이 투과 능력이 높았으나 세포외 리간드가 없는 control membrane을 사용하였을 때와 비교하여 투과능력의 차이를 보이지 않았다. 결론 : 유전자 주입(transfection) 방법으로 integrin의 다양한 클로운의 합성이 가능하여 이 Integrin의 암 세포의 부착 및 침투 능력에서의 기능을 규명 할 수 있게 한다. $\beta$4 integrin은 편평상피 암세포의 부착에 있어서 세포외 리간드 laminin과 특이 결합하여 부착 능력을 높이는 중요한 역할을 하며 편평상피 암세포의 침투에 있어서는 $\beta$4 integrin의 표현이 침투 능력을 높이는 역할을 하나 이때에는 laminin과 같은 리간드와의 특이 결합에 의존하지는 않는 것으로 사료된다.

• Nuclear Medicine and Molecular Imaging
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• v.43 no.5
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• pp.468-477
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• 2009

Purpose: Hydrodynamic-based procedure is a simple and effective gene delivery method to lead a high gene expression in liver tissue. Non-invasive imaging reporter gene system has been used widely with herpes simplex virus type 1 thymidine kinase (HSV1-tk) and its various substrates. In the present study, we investigated to image the expression of HSV1-tk gene with 5-(2-iodovinyD-2'-deoxyuridine (IVDU) in mouse liver by the hydrodynamicbased procedure. Materials and Methods: HSV1-tk or enhanced green fluorescence protein (EGFP) encoded plasmid DNA was transferred into the mouse liver by hydrodynaminc injection. At 24 h post-injection, RT-PCR, biodistribution, fluorescence imaging, nuclear imaging and digital wholebody autoradiography (DWBA) were performed to confirm transferred gene expression. Results: In RT-PCR assay using mRNA from the mouse liver, specific bands of HSV1-tk and EGFP gene were observed in HSV1-tk and EGFP expressing plasmid injected mouse, respectively. Higher uptake of radiolabeled IVDU was exhibited in liver of HSV1-tk gene transferred mouse by biodistribution study. In fluorescence imaging, the liver showed specific fluorescence signal in EGFP gene transferred mouse. Gamma-camera image and DWBA results showed that radiolabeled IVDU was accumulated in the liver of HSV1-tk gene transferred mouse. Conclusion: In this study, hydrodynamic-based procedure was effective in liver-specific gene delivery and it could be quantified with molecular imaging methods. Therefore, co-expression of HSV1-tk reporter gene and target gene by hydrodynamic-based procedure is expected to be a useful method for the evaluation of the target gene expression level with radiolabeled IVDU.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.8
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• pp.67-73
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• 2015

In a distribution of digital image, there is a serious problem that is the image alteration by a forger. For the problem solution, this paper proposes the forensic decision algorithm of a median filtering (MF) image using the feature vector based on a coefficient of variation (c.v.) of Fourier transform. In the proposed algorithm, we compute Fourier transform (FT) coefficients of row and column line respectively of an image first, then c.v. between neighboring lines is computed. Subsquently, 10 Dim. feature vector is defined for the MF detection. On the experiment of MF detection, the proposed scheme is compared to MFR (Median Filter Residual) and Rhee's MF detection schemes that have the same 10 Dim. feature vector both. As a result, the performance is excellent at Unaltered, JPEG (QF=90), Down scaling (0.9) and Up scaling (1.1) images, and it showed good performance at Gaussian filtering ($3{\times}3$) image. However, in the performance evaluation of all measured items of the proposed scheme, AUC (Area Under ROC (Receiver Operating Characteristic) Curve) by the sensitivity and 1-specificity approached to 1 thus, it is confirmed that the grade of the performance evaluation is rated as 'Excellent (A)'.

• Korean Journal of Plant Resources
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• v.20 no.5
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• pp.437-441
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• 2007

The argE gene of E.coli was introduced into #Ilmibyeo# cultivar of rice by Agrobacterium tumefaciens and a large number of transgenic plants were produced. Embryogenic calli were co-cultivated with A. tumefaciens strain AGL1 carrying the plasmid pCAMBIA1300 containing hygromycin resistance(HygR). Transgenic plants showing in vitro resistance to 50mg/L hygromycin were obtained using a selection procedure. Stable integration of argE and HPT genes into chromosomal DNA was proven by southern blot analysis and PCR analysis of genomic isolated from $T_0$ progenies. The fragments of 650 bp(HPT) were detected in transgenic rice lines. The 230 bp(argE) fragments were showed in agarose gel, and detected fragments were matched with size of argE specific primer. The microscopic feature of leaf on scanning electron microscope(SEM) revealed differences between clear and chalky in shape and arrangement of stoma but did not discriminate.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.39 no.10
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• pp.1066-1074
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• 1990

In this paper, we attempt to control induction motors with high power efficiency as well as high dynamic performance by utilizing the recently developed theories : singular perturbation technique and noninteracting feedback control. Our controller consists of three subcontrollers` a saturation current controller, a decoupling controller, and a well-known flux simulator. The decoupling controller decouples rotor speed (or motor torque) and rotor flux linearly. Our controller does not need the rotor resistance that varies widely with the machine temperature. To illuminate the practical significance of our results, we present simulation and experimental results as well as mathematical performance analysis.

• Journal of KIISE:Software and Applications
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• v.36 no.2
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• pp.169-177
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• 2009

In this paper, we propose a new shot boundary detection method which is optimized for news video story parsing. This new news shot boundary detection method was designed to satisfy all the following requirements: 1) minimizing the incorrect data in data set for anchor shot detection by improving the recall ratio 2) detecting abrupt cuts and gradual transitions with one single algorithm so as to divide news video into shots with one scan of data set; 3) classifying shots into static or dynamic, therefore, reducing the search space for the subsequent stage of anchor shot detection. The proposed method, based on singular value decomposition with incremental clustering and mercer kernel, has additional desirable features. Applying singular value decomposition, the noise or trivial variations in the video sequence are removed. Therefore, the separability is improved. Mercer kernel improves the possibility of detection of shots which is not separable in input space by mapping data to high dimensional feature space. The experimental results illustrated the superiority of the proposed method with respect to recall criteria and search space reduction for anchor shot detection.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.5
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• pp.2393-2399
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• 2013

In this paper, we proposed a method to screening of Alzheimer's disease (AD) from Raman spectra of platelet with synthesis of basis spectra using singular value decomposition (SVD). Raman spectra of platelet from AD transgenic mice are preprocessed with denoising, removal background and normalization method. The column vectors of each data matrix consist of Raman spectrum of AD and normal (NR). The matrix is factorized using SVD algorithm and then the basis spectra of AD and NR are determined by 12 column vectors of each matrix. The classification process is completed by select the class that minimized the root-mean-square error between the validation spectrum and the linear synthesized spectrum of the basis spectra. According to the experiments involving 278 Raman spectra, the proposed method gave about 97.6% classification rate, which is better performance about 6.1% than multi-layer perceptron (MLP) with extracted features using principle components analysis (PCA). The results show that the basis spectra using SVD is well suited for the diagnosis of AD by Raman spectra from platelet.