• Title/Summary/Keyword: Manhattan

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The Characteristics and Implications of Rental Housing 'Manhattan Plaza' for Socially Vulnerable People in New York (뉴욕시 사회취약계층을 위한 임대주택 '맨하탄플라자'의 특성과 함축적 의미)

  • Lee, Yeunsook;Ko, Jiyeong;Park, Jaehyun
    • Journal of the Korean housing association
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    • v.26 no.4
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    • pp.33-44
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    • 2015
  • The fast and competitive urbanization has accelerated unbalanced land utilization and housing, thereby producing large number of decaying areas and socially disadvantaged population, while generally promoted citizen's quality of life. Since rental housing policy, therefore, has emerged as a major important issue to solve these ever increasing problems, new concepts in leading examples need to be explored to stimulate creative ideas for future housing improvement. The purpose of this research is to extract successful factors of a leading rental housing 'Manhattan Plaza' in New York city, expecting useful implications for housing improvement in Korea. Field visit and in-depth interview for data collection and qualitative approach for analysis were carried out. As results, its successful sustainability and fame were found to be attributable to following concepts, such as, socially integrative mix of diverse residents, residents' participation in management, privacy respect administration, considerate planning and design features of physical environment. The latter, especially, were prominent in peripheral spaces, indoor and outdoor community spaces, and private spaces. Based on the results, suggestions were made for future Korean rental housing development.

A study on the vertical expansion of the urban hospital - Focused on the case of the M Cancer Center in Manhattan, NY - (도심지 병원의 수직 증·개축 사례 연구 - 뉴욕 맨해튼에 위치한 M 암 전문병원의 증·개축 사례를 중심으로 -)

  • Lim, Yeong-Hwan
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.13 no.1
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    • pp.37-44
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    • 2007
  • With the rapid changes in healthcare system, the impact on healthcare design is significant and constantly changed. Because of emergence of new technology, far-advanced methods of healthcare delivery, and changing social and environmental issues, the healthcare planners and architects have to make sure that future expansion are taken into consideration when they design the hospitals. This thesis aims to investigate the hospital remodeling cases in Korea and USA and find the solutions for the vertical expansion of the hospitals in the metropolitan area where the buildings may be limited to be horizontally expanded. The M Cancer center in Manhattan, NY is selected to be carefully investigated and analyzed. Based on this analysis, the strategy for the vertical expansion of the hospital will be suggested.

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A new segmentation method for non-manhattan layout document images using connected component (연결요소 특징을 이용한 복잡한 문서영상의 구조 분석)

  • 이상협;이경무
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 1997.11a
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    • pp.71-74
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    • 1997
  • 본 논문은 일반적으로 제약 없는 형식 문서 즉, 논-맨하탄(non-manhattan) 형식의 이진문서영상을 분석하는 기법으로서, 연결요소기법에 기반한 특징추출과 이를 이용한 영역분리 및 분류에 관한 새로운 방법을 제안한다. 제안한 방식은 바텀-업(bottom-up)방식으로서 먼저 처리속도의 고속화와 축소시 특징 영역보존을 위해 임계치 축소기법을 사용하고, 축소된 이진 문서영상내의 각 연결된 검은 화소의 집합을 개체화하고 개체의 특성에 따라 텍스트, 신성분, 해프톤, 도형 그리고 표 등으로 분류한다. 영역분류는 두단계로 이루어지는데, 1차분류에서는 우선, B/W 비, 면적, 외각 테두리의 높이와 너비 비, 테두리선유무 등의 특징을 이용하여 해프톤, 수평 수직선, 테두리(표 및 도형)영역을 분리한다. 이후 2차 분류에서는 문자성분의 수평결합을 통한 텍스트행 성분을 추출한다. 마지막 후처리 과정으로 표분석 알고리듬을 통하여 테두리 영역중 표와 도형을 정확히 구분하고, 또한 도형에 관련한 문서성분을 해당 도형 개체에 연결하는 작업을 수행함으로써 완벽한 영역분류를 한다. 다양한 문서영상을 이용한 시뮬레이션을 통해 제안한 알고리듬의 성능을 입증한다.

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Modified distance measures for PCA-based face recognition

  • Song Young-Jun;Kim Young-Gil;Kim Nam
    • International Journal of Contents
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    • v.1 no.2
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    • pp.1-4
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    • 2005
  • In this paper, we compare 5 weighted distance measures between feature vectors with respect to the recognition performance of the principal component analysis(PCA)-based face recognition method, and propose modified weighted distance. The proposed method was modification of z, the weighted vector. The simulation was performed using the ORL face database, showed the best result for some weighted distances such as weighted manhattan, weighted angle-based, weighted modified manhattan, and weighted modified SSE. We also showed that using some various values of z(weighted values) we can achieve better recognition results that using the existing weighted value.

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Evolution of Skyscraper Block Typology Affected by Air Rights Development: A Case Study of Manhattan

  • Chao Weng;Yu Zhuang
    • International Journal of High-Rise Buildings
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    • v.12 no.1
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    • pp.19-33
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    • 2023
  • Air Rights techniques, including floor-area ratio (FAR) transfers, FAR bonuses, and FAR storage, have been widely applied among skyscraper constructions in New York City for profit maximization goals. Since 1916, air rights regulations in New York zoning system have been revised and improved over the years to cater the urban development needs of different periods, and they also result in typical skyscraper block typologies. This research firstly performed spatial overlay analysis to reveal the spatial correlation between skyscraper blocks and air rights application blocks; secondly, Spacematrix parameters and cluster analysis are applied to divide the skyscraper urban block of New York City into four categories. Compared with air rights application data, the research attempts to illustrate how various air rights techniques have acted on the formation and evolution of skyscraper block typologies in the pre-1916, 1916-1961, 1961-2010, and 2010-present periods respectively, in order to reveal the relationship between public policies and urban morphology in a broader sense and also provide references for policy making in future.

On the Study of Rotation Invariant Object Recognition (회전불변 객체 인식에 관한 연구)

  • Alom, Md. Zahangir;Lee, Hyo Jong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2010.04a
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    • pp.405-408
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    • 2010
  • This paper presents a new feature extraction technique, correlation coefficient and Manhattan distance (MD) based method for recognition of rotated object in an image. This paper also represented a new concept of intensity invariant. We extracted global features of an image and converts a large size image into a one-dimensional vector called circular feature vector's (CFVs). An especial advantage of the proposed technique is that the extracted features are same even if original image is rotated with rotation angles 1 to 360 or rotated. The proposed technique is based on fuzzy sets and finally we have recognized the object by using histogram matching, correlation coefficient and manhattan distance of the objects. The proposed approach is very easy in implementation and it has implemented in Matlab7 on Windows XP. The experimental results have demonstrated that the proposed approach performs successfully on a variety of small as well as large scale rotated images.

A Study on DNN-based STT Error Correction

  • Jong-Eon Lee
    • International journal of advanced smart convergence
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    • v.12 no.4
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    • pp.171-176
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    • 2023
  • This study is about a speech recognition error correction system designed to detect and correct speech recognition errors before natural language processing to increase the success rate of intent analysis in natural language processing with optimal efficiency in various service domains. An encoder is constructed to embedded the correct speech token and one or more error speech tokens corresponding to the correct speech token so that they are all located in a dense vector space for each correct token with similar vector values. One or more utterance tokens within a preset Manhattan distance based on the correct utterance token in the dense vector space for each embedded correct utterance token are detected through an error detector, and the correct answer closest to the detected error utterance token is based on the Manhattan distance. Errors are corrected by extracting the utterance token as the correct answer.