• 제어로봇시스템학회논문지
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• 제15권11호
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• pp.1088-1095
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• 2009

In this paper, we describe the reorientation method of distorted road sign by using projection transformation for improving recognition rate of road sign. RSR (Road Sign Recognition) is one of the most important topics for implementing driver assistance in intelligent transportation systems using pattern recognition and vision technology. The RS (Road Sign) includes direction of road or place name, and intersection for obtaining the road information. We acquire input images from mounted camera on vehicle. However, the road signs are often appeared with rotation, skew, and distortion by perspective camera. In order to obtain the correct road sign overcoming these problems, projection transformation is used to transform from 4 points of image coordinate to 4 points of world coordinate. The 4 vertices points are obtained using the trajectory as the distance from the mass center to the boundary of the object. Then, the candidate areas of road sign are transformed from distorted image by using homography transformation matrix. Internal information of reoriented road signs is segmented with arrow and the corresponding indicated place name. Arrow area is the largest labeled one. Also, the number of group of place names equals to that of arrow heads. Characters of the road sign are segmented by using vertical and horizontal histograms, and each character is recognized by using SAD (Sum of Absolute Difference). From the experiments, the proposed method has shown the higher recognition results than the image without reorientation.

• 대한치과보철학회지
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• 제8권1호
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• pp.20-24
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• 1968

Recognition thresholds for representatives of the salt, sweet, bitter, and sour modalities of taste were determined in 25 patients with dentures. The following results were obtained. (1) Recognition thresholds for the taste of NaCl(salt) and Sucrose(sweet) were essentially unchanged with or without the dentures in place. (2) Recognition thresholds for HCl(sour) and Urea(bitter) increased after the patients inserted their dentures. The amount of increase was 59.4% and 112.5% for HCl and Urea, respectively. (3) Recognition thresholds for all four taste modalities inpatients with ill-fitting dentures were not significantly changed with or without dentures in place. (4) Recogniton thresholds for all four taste modalities in Korean were greater than those of Pfaffamann's.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2006년도 추계학술발표대회
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• pp.19-22
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• 2006

In this paper we present a vision based place recognition method which uses Bayesian method with feed back of image retrieval. Both Bayesian method and image retrieval method are based on interest features that are invariant to many image transformations. The interest features are detected using Harris-Laplacian detector and then descriptors are generated from the image patches centered at the features' position in the same manner of SIFT. The Bayesian method contains two stages: learning and recognition. The image retrieval result is fed back to the Bayesian recognition to achieve robust and confidence. The experimental results show the effectiveness of our method.

• 한국중재학회지:중재연구
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• 제13권2호
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• pp.103-122
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• 2004

Recognition and enforcement of the arbitral award play an important role in the settlement of the international commercial disputes. The New York Convention makes it a duty for the courts of signatories to recognize and enforce the foreign arbitral awards not taking the nationality of the party concerned into consideration. Recognition and enforcement of the arbitral award may be refused if the award has not yet become binding on the parties, or has been set aside or suspended by a competent authority of the country in which, or under the law of which, that award was made. The arbitral award has the same force as an irrevocable judgement including effect of excluding further litigation, its execution and formation. But the effect of set aside arbitral award made abroad in arbitral place was denied by France court for the interest of his people. There is no arbitral act but arbitral procedure is regulated by New Code of Civil Procedure in case of France. An appeal against the decision which grants recognition or enforcement is open if the recognition or execution is contrary to international pubic policy in virtue of Art. 1502. Arbitrator may consider compulsory provisions in arbitral place to assure to recognition and enforcement of the arbitral award.

• 한국지역지리학회지
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• 제16권5호
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• pp.457-473
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• 2010

본 연구에서는 재해 및 방재 관련 지명의 유형과 분포, 사례지역 조사를 토대로 지명을 통한 재해 및 방재 가능성을 탐색하였다. "한국지명총람"을 대상으로 106개의 검색 지명어에서 37,901개의 지명을 추출하였으며, 연구결과는 다음과 같다. 지명의 유형별 빈도는 지형재해 및 방재 관련 지명이 월등히 많았고, 특히 호우, 범람, 침수 재해와 관련된 지명이 탁월하였다. 지역적 분포는 영 호남 지역의 점유율이 높은 가운데 수(水), 사(沙), 야(野), 우(雨), 상(狀) 등이 전국적인 분포를 보인 반면 둠벙, 구렁, 여울, 탄(灘), 방죽, 제(提), 지(池) 등은 지역차가 커서 입지 및 지형적 특성이 지명에 투영되어 있음을 확인할 수 있었다. 사례지역 조사에서 우리나라는 기상현상과 지형조건이 결합된 범람 및 침수 재해의 가능성이 높아 수계와 곡지형에 대한 관리의 필요성이 제기되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.4084-4104
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• 2021

Visual place recognition (VPR) is a fundamental yet challenging task of mobile robot navigation and localization. The existing VPR methods are usually based on some pairwise similarity of image descriptors, so they are sensitive to visual appearance change and also computationally expensive. This paper proposes a simple yet effective four-step method that achieves adaptive convolutional neural network (CNN) landmark matching for VPR. First, based on the features extracted from existing CNN models, the regions with higher significance scores are selected as landmarks. Then, according to the coordinate positions of potential landmarks, landmark matching is improved by removing mismatched landmark pairs. Finally, considering the significance scores obtained in the first step, robust image retrieval is performed based on adaptive landmark matching, and it gives more weight to the landmark matching pairs with higher significance scores. To verify the efficiency and robustness of the proposed method, evaluations are conducted on standard benchmark datasets. The experimental results indicate that the proposed method reduces the feature representation space of place images by more than 75% with negligible loss in recognition precision. Also, it achieves a fast matching speed in similarity calculation, satisfying the real-time requirement.

• ETRI Journal
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• 제39권1호
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• pp.97-107
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• 2017

A fast and accurate building-level visual place recognition method built on an image-retrieval scheme using street-view images is proposed. Reference images generated from street-view images usually depict multiple buildings and confusing regions, such as roads, sky, and vehicles, which degrades retrieval accuracy and causes matching ambiguity. The proposed practical database refinement method uses informative reference image and keypoint selection. For database refinement, the method uses a spatial layout of the buildings in the reference image, specifically a building-identification mask image, which is obtained from a prebuilt three-dimensional model of the site. A global-positioning-system-aware retrieval structure is incorporated in it. To evaluate the method, we constructed a dataset over an area of $0.26km^2$. It was comprised of 38,700 reference images and corresponding building-identification mask images. The proposed method removed 25% of the database images using informative reference image selection. It achieved 85.6% recall of the top five candidates in 1.25 s of full processing. The method thus achieved high accuracy at a low computational complexity.

• 산경연구논집
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• 제9권3호
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• pp.69-79
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• 2018

Purpose - Competition among cities around the world are rapidly shifting from competition of production factors such as labor costs and quality of raw materials to competition between the consumption factors such as quality of life, settlement environment, culture, and place. The entry into the era of competition between consumption factors is not only attracting investment for strengthening city competitiveness, but also actively inducing urban image reconstruction and new image making. Therefore, various studies related to urban marketing are being carried out. The object of this study is to investigate the effect of city brand image on city brand recognition and city loyalty based on the questionnaire of external citizens about Changwon city. Research design, data, and methodology - The data were collected from 200 Seoul and Busan citizens. Reliability and exploratory factor analysis were conducted through the SPSS program, and confirmatory factor analysis and structural equation modeling were conducted by using the AMOS program. Results - As a result of the hypothesis test, six hypotheses were adopted among the nine hypotheses. In summary, pleasant image, dynamic image, and good administrative image have a significant positive impact on city brand recognition. The magnanimous image did not have a significant effect on city brand recognition. In the impact of city brand image on city loyalty, magnanimous image and good administrative image had significant positive impact on city loyalty. Pleasant images and dynamic images did not significantly affect city loyalty. In addition, city brand recognition positively influenced city loyalty. Conclusions - First, it is possible to say that there is an academic significance of this research in its contribution to regional revitalization by investigating mutual influences in urban aspect by combining place marketing with image, recognition, and loyalty. Secondly, kinetic images such as pleasant image and dynamic image have more influence on recognition, and static images such as magnanimous images have more influence on loyalty. So, further research will be necessary to establish theories. Finally, In order to increase city brand recognition and city loyalty to local city, efforts should be made to improve urban images such as pleasant image, magnanimous image, dynamic image, and good administrative image.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제21권1호
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• pp.64-69
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• 2015

본 논문에서는 시각, 음향, 위치 정보를 포함하는 멀티모달 센서 입력 정보로부터 사용자가 위치한 장소의 환경 정보를 학습하고 기계학습 추론을 통해 장소를 인식하는 방법을 제안한다. 이 방법은 음영 지역에서의 정확도 감소나 추가 하드웨어 필요 등 기존 위치 정보 인식 방법이 가지는 제약을 극복 가능하고, 지도상의 단순 좌표 인식이 아닌 논리적 위치 정보 인식을 수행 가능하다는 점에서 해당 위치와 관련된 특정 정보를 활용하여 다양한 생활편의를 제공하는 위치 기반 서비스를 수행하는데 보다 효과적인 방법이 될 수 있다. 제안하는 방법에서는 스마트폰에 내장된 카메라, 마이크로폰, GPS 센서 모듈로부터 획득한 시각, 음향, 위치 정보로부터 특징 벡터들을 추출하여 학습한다. 이때 서로 다른 특성을 가진 특징 벡터들을 학습하기 위해 각각의 특징 벡터들을 서로 다른 분류기를 통해 학습한 후, 그 결과를 기반으로 최종적인 하나의 분류 결과를 얻어내는 앙상블 기법을 사용한다. 실험 결과에서는 각각의 데이터를 따로 학습하여 분류한 결과와 비교하여 높은 성능을 보였다. 또한 사용자 상황인지 기반 서비스의 성능 향상을 위한 방법으로서 제안하는 모델의 스마트폰 앱 구현을 통한 활용 가능성에 대해 논의한다.

• 대한건축학회논문집:계획계
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• 제34권10호
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• pp.75-82
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• 2018

This study suggests the general support center with comprehensive services for the elderly. In general, the modifications of the elderly housing have a direct influence on the "Quality of life" and "Aging in place" for the elderly. But until now, the elderly housing modification has been carried out separately on the elderly welfare category. It is very inefficient and inconvenient for the elderly. Therefore, it is necessary to have a comprehensive organization that includes the implementation of modifications. To provide reasons for this insistence, this study analyzed the previous research, legal system guidelines, and others related things. And it researched the perception of the comprehensive institution and the need for housing modification through the recognition survey of the elderly and the early elderly. The study found that the current domestic legal system does not have an integrated system to carry out the entire process of applying and implementing the elderly housing modification. On the other hand, the results of the survey showed that the elderly hoped to introduce a comprehensive and user-friendly institution for housing modification.