• Journal of the Korean association of regional geographers
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• v.15 no.5
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• pp.635-654
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• 2009

Recently, concepts of multicultural society and/or multiculturalism have been not only widely discussed across several disciplines, but also actively promoted in government's policy, as the in-flow of foreign immigrants has increased rapidly. This paper suggests the term 'multicultural space' instead of multicultural society in a sense that both international migration of immigrants and their accommodation to a certain locality presuppose a spatial dimension. This paper also points out that the term multiculturalsim should be used very carefully, because this term includes a normative character implied in a sense of recognition of ethnic and cultural diversity and difference on the one hand, and an ideological one reflected on strategic policies of capital and the state on the other. On the basis of recognition of these problems, this paper tries to reformulate spatially the concept of muticultural society which has been supposed to be constructed due to rapidly increasing foreign immigrants, emphasizing some usefulness of multi-scalar approach. It then analyzes economic and political contexts of transnational migration, providing a criticism of multiculturalism as an ideological logic of capital and the state in transnational captialism. Finally it put a stress upon importance of struggle for spaces of recognition as a new glocal ethics in the age of post-globalization.

• Genomics & Informatics
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• v.17 no.4
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• pp.39.1-39.20
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• 2019

Analyzing patterns in data points embedded in linear and non-linear feature spaces is considered as one of the common research problems among different research areas, for example: data mining, machine learning, pattern recognition, and multivariate analysis. In this paper, data points are heterogeneous sets of biosequences (composite data points). A composite data point is a set of ordinary data points (e.g., set of feature vectors). We theoretically extend the derivation of the largest generalized eigenvalue-based distance metric D_ij(γ₁) in any linear and non-linear feature spaces. We prove that D_ij(γ₁) is a metric under any linear and non-linear feature transformation function. We show the sufficiency and efficiency of using the decision rule $\bar{{\delta}}_{{\Xi}i}$(i.e., mean of D_ij(γ₁)) in classification of heterogeneous sets of biosequences compared with the decision rules min_𝚵iand median_𝚵i. We analyze the impact of linear and non-linear transformation functions on classifying/clustering collections of heterogeneous sets of biosequences. The impact of the length of a sequence in a heterogeneous sequence-set generated by simulation on the classification and clustering results in linear and non-linear feature spaces is empirically shown in this paper. We propose a new concept: the limiting dispersion map of the existing clusters in heterogeneous sets of biosequences embedded in linear and nonlinear feature spaces, which is based on the limiting distribution of nucleotide compositions estimated from real data sets. Finally, the empirical conclusions and the scientific evidences are deduced from the experiments to support the theoretical side stated in this paper.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.9
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• pp.101-108
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• 2019

Chinese ethnic minorities are inheriting their own traditions based on thousands of years of community life. Yunnan province in china is a castle in which many ethnic minorities have been living on the basis of various natural environments. Their traditional village can be regarded as a place reflecting minorities' thousands year of history and culture, and elements of positive social spaces are seen from the old village. Streets and places of the village are accumulated as images for residents. Based on their imagination-concept, sketch maps, reflecting residents' cognitive perception were collected. Analysis of 21 sketch maps shows that architectural elements, forming a unique landscape and community life contribute to establish a unity of one nation. the oldest tree in the village has a strong specificity as a place with the belief that the tree protects all residents in the village. Space in the head of the residents and Social spaces, embedded in the memories of the residents living in the community continued organically and the roads of the village showed clear recognition. Following this, the analysis methodology of social spaces and sketch will be examined in depth.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.319-331
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• 2022

The latest global COVID-19 pandemic has made the use of facial masks an important aspect of our lives. People are advised to cover their faces in public spaces to discourage illness from spreading. Using these face masks posed a significant concern about the exactness of the face identification method used to search and unlock telephones at the school/office. Many companies have already built the requisite data in-house to incorporate such a scheme, using face recognition as an authentication. Unfortunately, veiled faces hinder the detection and acknowledgment of these facial identity schemes and seek to invalidate the internal data collection. Biometric systems that use the face as authentication cause problems with detection or recognition (face or persons). In this research, a novel model has been developed to detect and recognize faces and persons for authentication using scale invariant features (SIFT) for the whole segmented face with an efficient local binary texture features (DLBP) in region of eyes in the masked face. The Fuzzy C means is utilized to segment the image. These mixed features are trained significantly in a convolution neural network (CNN) model. The main advantage of this model is that can detect and recognizing faces by assigning weights to the selected features aimed to grant or provoke permissions with high accuracy.

• Journal of Environmental Science International
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• v.16 no.12
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• pp.1383-1392
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• 2007

The purpose of this study is to provide suitable outdoor spaces for Korean elderly, examining characteristics and types of existing outdoor spaces and presenting design guideline of outdoor space for elderly. To do this, this study examined previous research papers and scholastic writings, related to elderly housing, and analyzed twelve cases of elderly housing complex. Additionally evaluation of usage pattern and physical trace carried out on twelve cases. As a result, first, the study showed that outdoor spaces for elderly were classified 5 types; entrance area of housing complex, building entrance area, outdoor living area, in & outdoor neutral area, and parking lots. Outdoor living area is subdivided into residents' public space, green space, health & sports space and landscape space. Characteristics of outdoor space are deeply related to safety, amenity, recognition and efficiency. Second, types of outdoor space in elderly facilities are very limited in verity, just facilitating with rest space, sport space, and garden space. Third, from a standpoint of barrier-free-design, twelve cases are not carefully concerning about outdoor space for elderly.

• Journal of KIBIM
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• v.13 no.3
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• pp.12-20
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• 2023

Deep learning-based anomaly detection technology is used in various fields such as computer vision, speech recognition, and natural language processing. In particular, this technology is applied in various fields such as monitoring manufacturing equipment abnormalities, detecting financial fraud, detecting network hacking, and detecting anomalies in medical images. However, in the field of construction and architecture, research on deep learning-based data anomaly detection technology is difficult due to the lack of digitization of domain knowledge due to late digital conversion, lack of learning data, and difficulties in collecting and processing field data in real time. This study acquires necessary data through IoT (Internet of Things) from the viewpoint of monitoring for environmental management of architectural spaces, converts them into a database, learns deep learning, and then supports anomaly patterns using AI (Artificial Infelligence) deep learning-based anomaly detection. We propose an implementation process. The results of this study suggest an effective environmental anomaly pattern detection solution architecture for environmental management of architectural spaces, proving its feasibility. The proposed method enables quick response through real-time data processing and analysis collected from IoT. In order to confirm the effectiveness of the proposed method, performance analysis is performed through prototype implementation to derive the results.

• Journal of Korea Game Society
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• v.21 no.5
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• pp.3-16
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• 2021

In this paper, we propose a method of constructing AR game spaces through cuboid detection in indoor environment. Conventional spatial recognition methods can detect planes only in limited spaces that can be well observed. They are also vulnerable in density and noise. The proposed method overcomes the limitations of the conventional method by constructing AR game spaces by a method of detecting OBBs from spherical videos. Experimental results showed that the proposed method is faster than the conventional method and it is also robust against environmental constraints such as changes in density and noisy.

• The Journal of Natural Sciences
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• v.17 no.1
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• pp.65-77
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• 2006

This study aims at providing suitable outdoor spaces for physical, social, and psychological condition of Korea elderly, examining design characteristics and presenting design guideline of outdoor space for elderly. To do this, this study examined previous research papers and scholastic writings, related to elderly housing, and analyzed existing outdoor space for elderly. Additionally evaluation of usage pattern and physical trace carried out four silver towns. As a result, first, the study showd that characteristics of outdoor space are related to safety, amenity, recognition and efficiency. Second, types of outdoor space in elderly related facilities are very limited in verity, just facilitating with rest space, sport space, and garden space. Third, from a standpoint of barrier-free-design, four silver town cases are not carefully concerning about outdoor space for elderly. These spaces should be designed for both neighborhood and elderly people.

• Journal of the Korean housing association
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• v.28 no.1
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• pp.63-72
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• 2017

The purpose of this study is to investigate the overall recognition on attitudes of well-dying and evaluation the importance of planning factors of well-dying space in college students. This will serve as a basis to accumulate materials on the recognition of well-dying and well-dying spaces of various generations of South Korea. This study conducted a survey from October 4th to 8th, 2016 with 119 college students from U University and K University. As the contents of the survey, were comprised of general socio-demographic elements, subjective recognition and attitudes toward well-dying, and the importance of the planning factors of the physical, emotional, social and spiritual environments of the well-dying space. The main results are as follows. (1) The interest of university students on death education is high, and there was a preference for 'home' where they could be comfortable and be with loved ones as the space for dying. Also, in case of events of bereaving them after death, formal grieving ceremonies were undesired. The funeral was desired to be simple, serene, and not too sad. (2) In evaluation of the importance of physical, emotional, and spiritual environmental planning factors, physical environmental factors were considered to be the most important overall, and the recognition of importance of the planning factors of spiritual environment was low.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2004.11a
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• pp.802-805
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• 2004

It is requures to understand the meaning of sound and cultural background of target spaces for soundscape design. The purpose of this study is to derive the general soundscape preserved in the mind of Korean people. Four kinds of traditional Korean songs, that is to say, Sijo (Korean verse), folk-song, Pansori (song for drama by Chang reciter), and popular songs, were used as tools of research subjects. That is because the sounds expressed in literature are very useful subjects for soundscape survey. Paragraphs containing description of sounds were selected from the lyrics of the songs. Then 11 sound categories were named, and 13 meaning categories were classified according to referential and emotional aspects, respectively.