• Korean Institute of Interior Design Journal
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• v.20 no.2
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• pp.10-19
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• 2011

This study is to predict the possibilities of phenomenological spatial design, by recognizing that a phenomenological spatial design brings about a change in the type, regime, role and materials of a spatiality due to the effect of contemporary digital technology and by analyzing their characteristics. Therefore, the study is based on the phenomenology of perception of Morris Merleau Ponty, which has the same concept to contemporary out-of-material and out-of-hierarchical paradigm. The case study has been carried out by selecting some of all works since 1980s, which were influenced by Merleau-Ponty. The analyses were performed by substituting the cases into the spatiality of Situation, spatiality of participation and creation, spatiality of retrospect and prospect, and the spatiality of unpredictability, which were the concept of phenomenological space of Merleau-Ponty for the analyses of features of type, regime, role and material of a spatial design. This article has a great significance in expecting the possibilities of changes of phenomenological spatial design by examining the characteristics of phenomenological spatial design.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.175-185
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• 2020

Three-dimensional registration is a process of matching data with or without a coordinate system to a reference coordinate system, which is used in various fields such as the absolute orientation of photogrammetry and data combining for producing precise road maps. Three-dimensional registration is divided into a method using points and a method using linear features. In the case of using points, it is difficult to find the same conjugate point when having different spatial resolutions. On the other hand, the use of linear feature has the advantage that the three-dimensional registration is possible by using not only the case where the spatial resolution is different but also the conjugate linear feature that is not the same starting point and ending point in point cloud type data. In this study, we proposed a method to determine the scale and the three-dimensional translation after determining the three-dimensional rotation angle between two data using quaternion to perform three-dimensional registration using linear features. For the verification of the proposed method, three-dimensional registration was performed using the linear features constructed an indoor and the linear features acquired through the terrestrial mobile mapping system in an outdoor environment. The experimental results showed that the mean square root error was 0.001054m and 0.000936m, respectively, when the scale was fixed and if not fixed, using indoor data. The results of the three-dimensional transformation in the 500m section using outdoor data showed that the mean square root error was 0.09412m when the six linear features were used, and the accuracy for producing precision maps was satisfied. In addition, in the experiment where the number of linear features was changed, it was found that nine linear features were sufficient for high-precision 3D transformation through almost no change in the root mean square error even when nine linear features or more linear features were used.

• Journal of the Korean Geographical Society
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• v.39 no.1
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• pp.116-131
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• 2004

The purpose of this study is to inquiry spatial features of shipbuilding subcontract structures. These days, firms are trying to get their goals by wav of production system which is related to other firm. Shipbuilding subcontract structures which builds complex and grand plant show a different peculiarity according to spatial features having rules of business relations with contracting firms. First of all, internal subcontracting firms which takes part in the production process of contracting firm and shipbuilding cooperative complex firms which showing a peculiarity of spin-off firms are closely related with contracting firm. And firms in Changwon that have a specialized with machine industry and those of Busan that have made development in marine equipment industries traditionally are connected with subcontract relations because of a high level of specialization relatively. On the other hand, subcontracting firms which range from non-localized and provide standardized products are less connected with contracting firm. In order to develop of Korea' shipbuilding industry, first, close cooperative relation is important with subcontracting firms which concentrate internal and outside contacting firm. And, it is necessary to strengthen selective business relations with far distance firms which are specialized in technology.

• Journal of the Economic Geographical Society of Korea
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• v.6 no.1
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• pp.99-117
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• 2003

Major proposes of this study are to analyze Korean Shipbuilding's production network and cooperation between related firms and to understand their spatial features. The Geographical study about networks has focused on automobiles, electronics or communications industries. That's because those industries have distinctive spatial features thanks to the full growth of subcontract structures. The labor-centered, capital-centered shipbuilding industry, differently from other manufacturing industries, has production networks where outside trades are common. Today internet based communication is being reinforced and the flexibility of purchase circumstances is being positively proceeded. The central axes of the production network of Sumsung shipbuilding are internationally Europe and Asian area, nationally Busan and Gyeongnam province and Seoul Metropolitan areas, locally inside subcontracting firms. And In order to construct mutual trust with cooperation firms, Sumsung shipbuilding is trying to reinforce two-way cooperation relation through 'SungJoHoi' organized with outside subcontracting firms and 'inside cooperation firms conference'. In conclusion, Sumsung shipbuilding is trying to strengthen the competitiveness of shipbuilding industry, spatially by setting up the network through globalization-localization and functionally by constructing the partnership production network for mutual communication.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.1
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• pp.1-9
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• 2013

This paper propose a human action recognition method that uses bag-of-features (BoF) based on CS-LBP (center-symmetric local binary pattern) and a spatial pyramid in addition to the random forest classifier. To construct the BoF, an image divided into dense regular grids and extract from each patch. A code word which is a visual vocabulary, is formed by k-means clustering of a random subset of patches. For enhanced action discrimination, local BoF histogram from three subdivided levels of a spatial pyramid is estimated, and a weighted BoF histogram is generated by concatenating the local histograms. For action classification, a random forest, which is an ensemble of decision trees, is built to model the distribution of each action class. The random forest combined with the weighted BoF histogram is successfully applied to Standford Action 40 including various human action images, and its classification performance is better than that of other methods. Furthermore, the proposed method allows action recognition to be performed in near real-time.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.4
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• pp.512-517
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• 2011

In this paper, we propose an Active Shape Model (ASM) and Lucas-Kanade (LK) optical flow-based feature extraction and analysis method for analyzing the emotional features from facial images. Considering the facial emotion feature regions are described by Facial Action Coding System, we construct the feature-related shape models based on the combination of landmarks and extract the LK optical flow vectors at each landmarks based on the centre pixels of motion vector window. The facial emotion features are modelled by the combination of the optical flow vectors and the emotional states of facial image can be estimated by the probabilistic estimation technique, such as Bayesian classifier. Also, we extract the optimal emotional features that are considered the high correlation between feature points and emotional states by using common spatial pattern (CSP) analysis in order to improvise the operational efficiency and accuracy of emotional feature extraction process.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.35-45
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• 2024

In this paper, we propose an intra prediction method for depth picture using CNN and Attention mechanism. The proposed method allows each pixel in a block to predict to select pixels among reference area. Spatial features in the vertical and horizontal directions for reference pixels are extracted from the top and left areas adjacent to the block, respectively, through a CNN layer. The two spatial features are merged into the feature direction and the spatial direction to predict features for the prediction block and reference pixels, respectively. the correlation between the prediction block and the reference pixel is predicted through attention mechanism. The predicted correlations are restored to the pixel domain through CNN layers to predict the pixels in the block. The average prediction error of intra prediction is reduced by 5.8% when the proposed method is added to VVC intra modes.

• Journal of the Korea Furniture Society
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• v.24 no.1
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• pp.42-50
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• 2013

The objective of this study is to explore basic type of character of humans and to suggest a design method of establishing a spatial construction environment for developing effective learning ability based on such type of character. As a range of research, spatial formative language was deduced and space design strategy for the children was suggested through an analysis of spatial requirements by exploring connectivity depending on features of 9 types of character through Enneagram. As a method of research, a process of suggesting a concrete method after defining an element of spatial construction and deducing a formative language for developing and strengthening effective learning ability for each type of character. As a result of research, the methods of children space design strategy for enhancing learning ability for leadership in a future specific fields were suggested through 9 different type of character with image of case study.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.30 no.6_2
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• pp.653-663
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• 2012

Using soft classification, it is possible to obtain the land cover proportions from the remotely sensed image. These land cover proportions are then used as input data for a procedure called "super-resolution mapping" to produce the predicted hard land cover layers at higher resolution than the original remotely sensed image. Superresolution mapping can be implemented using a number of algorithms in which the Hopfield Neural Network (HNN) has showed some advantages. The HNN has improved the land cover classification through superresolution mapping greatly with the high resolution data. However, the super-resolution mapping is based on the spatial dependence assumption, therefore it is predicted that the accuracy of resulted land cover classes depends on the relative size of spatial features and the spatial resolution of the remotely sensed image. This research is to evaluate the capability of HNN to implement the super-resolution mapping for SPOT image to create higher resolution land cover classes with different zoom factor.

• Journal of Environmental Science International
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• v.24 no.4
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• pp.555-559
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• 2015

Tourists travel demand can be divided into the watch the natural landscape, such as shopping, entertainment and other projects. Each travel demand with motivation for meet the requirements of appropriate tourism space environment in order to complete. In this paper, through questionnaire investigation and SD (Semantic Differential) method for the basic attributes of shopping tourists and spatial characteristics of commercial pedestrian street. And analyzes the basic attributes of shopping as the main demand of tourists characteristics and the spatial characteristics of the suitable shopping demand, to provide a scientific basis for the design of tourist shopping space.