• BMB Reports
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• 제29권5호
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• pp.442-447
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• 1996

Mutations in codon 12, 13 and 61 of one of the three ras genes, H-ras, K-ras and N-ras, convert these genes into active oncogenes. The presence of H-ras gene mutations have important prognostic implications in various cancers. In this study, the H-ras gene mutations were investigated by two-step PCRRFLP in patients with bladder and stomach cancer. For the control experiments, T24 and SK2 cell lines were used. In a total of 36 bladder cancer patient cases, five (13.9%) mutations were found by this method. Of these, point 12 mutations were two (5.6%) cases and point 61 mutations were three (8.3%) cases. On the other hand, H-ras mutation was not found in 29 cases of stomach cancer. The results of the mutated H-ras gene confirmed by direct sequencing analysis were correlated well with PCR analysis. From the sensitivity test, the H-ras mutation was found to have about 0.2% of mutated DNA mingled in normal DNA. In conclusion, the H-ras mutation has a higher clinical Significance in bladder cancer than stomach cancer. Moreover the two-step PCR-RFLP method is sensitive, rapid and relatively simple for clinical work in detecting H-ras point mutations.

• 한국CDE학회논문집
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• 제12권6호
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• pp.441-451
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• 2007

In this paper, the method to modify a surface through three dimensional vector field technique is presented, In this method two guide surfaces are required as a shape reference. One is the shape of original surface, the other is the target shape for the result surface. Proposed method is consists of two steps. The first step is to calculate the mapping points on original and target guide surfaces so that the shape error may be minimized. The second step is to construct the smooth vector field from mapping points of the first step. The developed method is applied to shoe design system which makes the surface modeling very easy and effective.

• 한국멀티미디어학회논문지
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• 제21권11호
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• pp.1244-1253
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• 2018

The color of traffic light is sensitive to various illumination conditions. Especially it loses the hue information when oversaturation happens on the lighting area. This paper proposes a traffic light recognition method robust to these illumination variations. The method consists of two steps of traffic light detection and recognition. It just uses the intensity and saturation in the first step of traffic light detection. It delays the use of hue information until it reaches to the second step of recognizing the signal of traffic light. We utilized a deep learning technique in the second step. We designed a deep convolutional neural network(DCNN) which is composed of three convolutional networks and two fully connected networks. 12 video clips were used to evaluate the performance of the proposed method. Experimental results show the performance of traffic light detection reporting the precision of 93.9%, the recall of 91.6%, and the recognition accuracy of 89.4%. Considering that the maximum distance between the camera and traffic lights is 70m, the results shows that the proposed method is effective.

• 전력전자학회논문지
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• 제4권6호
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• pp.547-553
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• 1999

본 논문에서는 기존의 12-스텝 인버터에 간단한 보조회로를 추가하여 24-스텝(또는 36-스텝)의 출력파형을 갖는 새로운 방식의 이중접속 멀티스텝 인버터를 제안한다. 제안한 인버터의 보조회로는 두 개의 전압분할용 커패시터, 두 개의 스위칭소자와 저용량의 단권변압기로 구성된다. 이 보조회로의 동작으로 24-스텝의 입·출력 파형을 얻을 수 있으며 한 개의 양방향 스위칭 소자를 추가하면 36-스텝의 파형을 얻게된다. 스위칭 함수를 이용한 전압 및 전류의 분석을 통하여 설계에 필요한 최적의 파라미터를 설정하였다. 제안한 인버터는 PWM방식을 사용할 수 없는 중용량의 SVC등에 적용하면 효과적이다. 본 방식의 타당성을 실험 및 시뮬레이션을 통하여 입증하였다.

• 전기의세계
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• 제30권1호
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• pp.41-46
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• 1981

In the current source inverters (CSI), which are widely used recently in many applications, in order to reduce the harmonic contents in the output line current, twelve-step waveform is synthesized usually by a phase-shifted addition of the output currents of two single CSI's. In this paper a new method of synthesis of the 12-step current waveform is suggested which employes a main and a new auxiliary inverters having lower capacity, and thus is economically advantageous over the conventional scheme. DC-side commutation and energy rebond circuit as described in Part I are also employed in this proposed twelve-step CIS for effective commutation and high reliability. Experimental results are also given in oscillgrams.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권9호
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• pp.4375-4388
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• 2018

To solve the problem of transmission errors in stereoscopic images, this paper proposes a novel error concealment (EC) method using superpixel segmentation and adaptive disparity selection (SSADS). Our algorithm consists of two steps. The first step is disparity estimation for each pixel in a reference image. In this step, the numbers of superpixel segmentation labels of stereoscopic images are used as a new constraint for disparity matching to reduce the effect of mismatching. The second step is disparity selection for a lost block. In this step, a strategy based on boundary smoothness is proposed to adaptively select the optimal disparity which is used for error concealment. Experimental results demonstrate that compared with other methods, the proposed method has significant advantages in both objective and subjective quality assessment.

• 제어로봇시스템학회논문지
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• 제16권12호
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• pp.1226-1232
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• 2010

A door can serve as a feature for place classification and localization for navigation of a mobile robot in indoor environments. This paper proposes a door detection method based on the recognition of various door handles using the general Hough transform (GHT) and support vector machine (SVM). The contour and color histogram of a door handle extracted from the database are used in GHT and SVM, respectively. The door recognition scheme consists of four steps. The first step determines the region of interest (ROI) images defined by the color information and the environment around the door handle for stable recognition. In the second step, the door handle is recognized using the GHT method from the ROI image and the image patches are extracted from the position of the recognized door handle. In the third step, the extracted patch is classified whether it is the image patch of a door handle or not using the SVM classifier. The door position is probabilistically determined by the recognized door handle. Experimental results show that the proposed method can recognize various door handles and detect doors in a robust manner.

• 한국지역사회생활과학회지
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• 제28권2호
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• pp.191-201
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• 2017

This study compared and analyzed the structures of cooking recipes in order to identify the overall cooking method and develop an efficient method for analyzing cooking recipes. We present procedural texts using a flow graph, which can be referred to as a recipe tree, to represent cooking recipes and the database. A total of 110 kimchi jjigae recipes were identified and classified as 'portion', 'kinds of ingredients', and 'number of cooking deployment'. Recipes for two persons were the most common (43.6%), and 7-13 kinds of ingredients accounted for 50% of kimchi jjigae recipes. Kimchi presented the highest frequency at 78 cases, and pork showed the high frequency at 30 cases. To identify cooking deployment, step 6 was the highest, followed by step 5 (17.3%), step 7 (17.3%), step 4 (11.8%), and step 3 (9.1%). When analyzing the frequency of the relationship between ingredients and action in a recipe expression, Food (F) and Action by the chef (Ac) showed the highest rates at 11.29 and 12.30, respectively, in the cooking process. For frequencies of dependency relation expression in recipes, d-obj (direct object) was the highest at 13.56. The proposed method provides users more efficient and easier access to recipes suitable for their cooking skills.

• 한국콘텐츠학회논문지
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• 제12권9호
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• pp.9-15
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• 2012

기존의 이벤트 문장 추출에 관한 연구는 학습단계에서 3W 자질을 학습하지 않고, 추출단계에서 3W 자질의 존재여부에 따른 규칙만을 적용하여 이벤트 문장을 추출하였다. 본 논문에서는 온라인 동향 분석을 위해 학습단계에서 3W 자질을 추출하고 가중치를 계산하고, 추출단계에서 3W 자질을 반영하는 문장 가중치 기반 이벤트 문장 추출 방안을 제시한다. 실험결과, 자질필터링은 $TF{\times}IDF$ 가중치 기법을 사용한 상위 30% 자질만을 사용하는 것이 가장 우수한 결과를 보였다. 공공이슈 분야인 부동산 도메인에서 문장 가중치 기반 방법은 3W 자질 중 who와 when 자질이 가장 영향을 많이 미치는 것으로 나타났다. 아울러 다른 기계학습 방법과의 비교하여 공공이슈 분야인 부동산 도메인에서 문장 가중치 기반 이벤트 문장 추출 방법이 가장 좋은 성능을 보였다.

• Journal of Information Technology Applications and Management
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• 제12권1호
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• pp.157-172
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• 2005

Recently, location-based service (LBS) is a hot issue in the field of computer applications. So many papers introducing new techniques of implementing a LBS and new application fields of LBS have been published recently. However, to the best of our knowledge, none of them discusses feasibility test in the prior to the implementation. The importance of a feasibility test for a design prior to the implementation cannot be overemphasized. This paper presents a method of feasibility test for a LBS design. Our method performs three steps. At the first step, we build a Petri net model of the LBS system which is depicted in natural language. The second step is to analyse the Petri net to find errors and flaws in the design. We also improve the Petri net model by fixing the errors and flaws in this step. A feasibility test is the third and final step. In this step. we verify if the design satisfies the user's requirement in the senses of quality of service (QoS) and of minimizing the implementation cost. The third step is performed in the manner of mathematical analysis of the Petri net.