• Journal of the Korea Fashion and Costume Design Association
• /
• v.13 no.3
• /
• pp.149-163
• /
• 2011

Hanjisa(Korean paper yarn), a new material made from the traditional Korean paper, has been developed through local R&D efforts, reflecting the current trend highly valuing environmental friendly. This new material is considered suitable for the 21C lifestyle and culture pursuing improved quality of human life and the environment. Therefore, this study aims to widely make known the originality and functions of the environmentally friendly Korean paper yarn, as well as to increase its commercial value. Furthermore, a new category of apparel design is presented by studying painting dyeing based on transformational tuck techniques and wax resist dyeing with formative features of repeated lines and rhythms of shells in order to implement three-dimensional and decorative artistic expressions. The texture of the Korean cotton paper yarn was particularly suitable to employ tuck and dyeing techniques Which express formative features of shell. Also, the material was useful for expressing the three-dimensional feelings with repeated curves and cross sections of shells. Moreover, paraffin resist dyeing and stitch techniques were used in order to avoid monotony and the images of shells visually materialized. Through the results stated above, this study could explore how to overcome obstacles to globalization of the Korean modern apparel such as its uniqueness, limit of materials or absense of internationality by applying modern design to the Korean paper fabrics. In the future, it is expected that more manufactures could produce and supply the new materials so as to make widely known the originality of the Korean paper fabrics and develop the material into a popular organic product fitting the modern lifestyle.

• Journal of Korean Society of Rural Planning
• /
• v.27 no.4
• /
• pp.55-70
• /
• 2021

In this study, in the field of remote sensing, where the scope of application is rapidly expanding to fields such as land monitoring, disaster prediction, facility safety inspection, and maintenance of cultural properties, monitoring of rural space and surrounding environment using UAV is utilized. It was carried out to verify the possibility, and the following main results were derived. First, the aerial image taken with an unmanned aerial vehicle had a much higher image size and spatial resolution than the aerial image provided by the National Geographic Information Service. It was suitable for analysis due to its high accuracy. Second, the more the number of photographed photos and the more complex the terrain features, the more the point cloud included in the aerial image taken with the UAV was extracted. As the amount of point cloud increases, accurate 3D mapping is possible, For accurate 3D mapping, it is judged that a point cloud acquisition method for difficult-to-photograph parts in the air is required. Third, 3D mapping technology using point cloud is effective for monitoring rural space and rural resources because it enables observation and comparison of parts that cannot be read from general aerial images. Fourth, the digital elevation model(DEM) produced with aerial image taken with an UAV can visually express the altitude and shape of the topography of the study site, so it can be used as data to predict the effects of topographical changes due to changes in rural space. Therefore, it is possible to utilize various results using the data included in the aerial image taken by the UAV. In this study, the superiority of images acquired by UAV was verified by comparison with existing images, and the effect of 3D mapping on rural space monitoring was visually analyzed. If various types of spatial data such as GIS analysis and topographic map production are collected and utilized using data that can be acquired by unmanned aerial vehicles, it is expected to be used as basic data for rural planning to maintain and preserve the rural environment.

• Journal of the Korean Institute of Rural Architecture
• /
• v.23 no.4
• /
• pp.1-12
• /
• 2021

Recently, the use of unmanned aerial vehicles (UAVs) is increasing in the field of land information acquisition and terrain exploration through high-altitude aerial photography. High-altitude aerial photography is suitable for large-scale geographic information collection, but has the disadvantage that it is difficult to accurately collect small-scale geographic information. Therefore, this study used low-altitude UAV to monitor changes in small rural spaces around rural resources, and the results are as follows. First, the low-altitude aerial imagery had a very high spatial resolution, so it was effective in reading and analyzing topographic features. Second, an area with a large number of aerial images and a complex topography had a large amount of point clouds to be extracted, and the number of point clouds affects the three-dimensional quality of rural space. Third, 3D mapping technology using point cloud is effective for monitoring rural space and rural resources because it enables observation and comparison of parts that cannot be read from general aerial images. In this study, the possibility of rural space analysis of low-altitude UAV was verified through aerial photography and analysis, and the effect of 3D mapping on rural space monitoring was visually analyzed. If data acquired by low-altitude UAV are used in various forms such as GIS analysis and topographic map production it is expected to be used as basic data for rural planning to maintain and preserve the rural environment.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.52 no.4
• /
• pp.135-144
• /
• 2015

Fingerprint pores have proven to be useful features for fingerprint recognition and several pore-based fingerprint recognition systems have been reported recently. In order to recognize fingerprints using pore information, it is very important to extract pores reliably and accurately. Existing pore extraction methods utilize 2D model fitting to detect pore centers. This paper proposes a pore extraction method using 1D Gaussian model which is much simpler than 2D model. During model fitting process, 1D model requires less computational cost than 2D model. The proposed method first calculates local ridge orientation; then, ridge mask is generated. Since pore center is brighter than its neighboring pixels, pore candidates are extracted using a $3{\times}3$ filter and a $5{\times}5$ filter successively. Pore centers are extracted by fitting 1D Gaussian model on the pore candidates. Extensive experiments show that the proposed pore extraction method can extract pores more effectively and accurately than other existing methods, and pore matching results show the proposed pore extraction method could be used in fingerprint recognition.

• Journal of Korean Society for Geospatial Information Science
• /
• v.18 no.4
• /
• pp.141-149
• /
• 2010

Three-dimensional geo-spatial information is important for the efficient use and management of the country and the three-dimensional expression and analysis of urban projects, such as urban plans devised by local governments and urban management. Thanks to the revitalization of the geo-spatial information service industry, it is now being variously used not only in public but also private areas. For the creation of high-guiltily three-dimensional geo-spatial information, emphasis should be placed on not only the quality of the source image and three-dimensional geo-spatial model but also the level of visualization, such as level of detail and texturing. However, in the case of existing three-dimensional geo-spatial information, its establishment process is complicated and its data are not updated frequently enough, as it uses ready-created digital maps. In addition, as it uses Ortho Images, the images exist Relief displacement. As a result, the visibility is low and the three-dimensional models of artificial features are simplified to reach LoD between 2 and 3, making the images look less realistic. Therefore, this paper, analyzed the quality of three-dimensional geo-spatial information created using the three-dimensional modeling technique were applied using Digital photogrammetry technique, using digital aerial photo images by an existing large-format digital camera and multi-looking camera. The analysis of the accuracy of visualization information of three-dimensional models showed that the source image alone, without other visualization information, secured the accuracy of 84% or more and that the establishment of three-dimensional spatial information carried out simultaneously with filming made it easier to gain the latest data. The analysis of the location accuracy of true Ortho images used in the work process showed that the location accuracy was better than the allowable horizontal position accuracy of 1:1,000 digital maps.

• Journal of the Korean Institute of Telematics and Electronics S
• /
• v.34S no.10
• /
• pp.59-70
• /
• 1997

Until now, considerable progress has been made in the application of range finding techanique performing direct 3-D measurement from the object. However, ther are few use of the method in the area of the application of material handing. We present a range finding vision system consisting of static and dynamic range finders to automate a reclaimer used for material handling. A static range finder detects range data of the front part of the piles of material, and a height map is obtained from the proposed image processing algorithm. The height map is used to calculate the optimal job path as features for required information for material handling function. A dynamic range finder attached on the side of the arm of the reclaimer detects the change of the local properties of the material with the handling function, which is used for avoiding collision and detecting the ending point for changing direction. the developed vision systm was applied to a 1/20 simulator and the results of test show that it is appropriate to use for automating the material handling.

• Journal of Biomedical Engineering Research
• /
• v.33 no.4
• /
• pp.169-176
• /
• 2012

Tumor cell morphology is closely related to its migratory behaviors. An active tumor cell has a highly irregular shape, whereas a spherical cell is inactive. Thus, quantitative analysis of cell features is crucial to determine tumor malignancy or to test the efficacy of anticancer treatment. We use 3D time-lapse phase-contrast microscopy to analyze single cell morphology because it enables to observe long-term activity of living cells without photobleaching and phototoxicity, which is common in other fluorescence-labeled microscopy. Despite this advantage, there are image-level drawbacks to phase-contrast microscopy, such as local light effect and contrast interference ring. Therefore, we first corrected for non-uniform illumination artifacts and then we use intensity distribution information to detect cell boundary. In phase contrast microscopy image, cell is normally appeared as dark region surrounded by bright halo ring. Due to halo artifact is minimal around the cell body and has non-symmetric diffusion pattern, we calculate cross sectional plane which intersects center of each cell and orthogonal to first principal axis. Then, we extract dark cell region by analyzing intensity profile curve considering local bright peak as halo area. Finally, we calculated the Fourier descriptor that morphological characteristics of cell to classify tumor cells into active and inactive groups. We validated classification accuracy by comparing our findings with manually obtained results.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.8
• /
• pp.57-66
• /
• 2011

In this paper, it is proposed for algorithm to detect human efficiently using a edge symmetry and gradient directional characteristics in realtime by the feature extraction in a single input image. Proposed algorithm is composed of three stages, preprocessing, region partition of human candidates, verification of candidate regions. Here, preprocessing stage is strong the image regardless of the intensity and brightness of surrounding environment, also detects a contour with characteristics of human as considering the shape features size and the condition of human for characteristic of human. And stage for region partition of human candidates has separated the region with edge symmetry for human and size in the detected contour, also divided 1st candidates region with applying the adaboost algorithm. Finally, the candidate region verification stage makes excellent the performance for the false detection by verifying the candidate region using feature vector of a gradient for divided local area and classifier. The results of the simulations, which is applying the proposed algorithm, the processing speed of the proposed algorithms is improved approximately 1.7 times, also, the FNR(False Negative Rate) is confirmed to be better 3% than the conventional algorithm which is a single structure algorithm.

• Tuberculosis and Respiratory Diseases
• /
• v.49 no.1
• /
• pp.60-71
• /
• 2000

Backgrounds : Cathepsin D, an aspartic lysosomal proteinase, is believed to be involved in local invasion and metastasis of tumor cells by its proteolytic activity and has been described to be associated with tumor progression and prognosis in some human malignancies including breast cancer. But, its prognostic value for human lung cancer remains to be determined. The purpose of this study is to determine clinicopathological and prognostic significance of cathepsin D expression in non-small cell lung cancer. Method : Using a polyclonal antibody, immunohistochemical analysis of cathepsin D was performed on paraffin embedded sections of tumors obtained surgically from 54 patients with non-small cell lung cancer (37 squamous cell carcinoma, 14 adenocarcinoma, 2 large cell carcinoma, and 1 undifferentiated carcinoma). Results : Eighteen patients (33.3%) showed positive immunoreactivities of cathepsin D in tumor cells. No significant correlation of cathepsin D expression in tumor cells was found in p-stage (surgical-pathologic stage), tumor size, tumor factor, nodal involvement, and differentiation. Of 54 patients, 29 (53.7%) patients showed moderate to massive cathepsin D-positive stromal cells within the tumor tissues, while the rest (46.3%) showed few cathepsin D-positive stromal cells within the tumor tissues. Cathepsin D expression in stromal cells was significantly associated with p-stage in non-small cell lung canær (p=0.031). No significant correlation of the degree of cathepsin D-positive stromal cells was found in tumor size, T -factor, nodal involvement, differentiation Cathepsin D expression status in tumor cells and stromal cells was not significantly associated with prognosis expressed by survival rate. The results of multivariate analyses of variables possibly associated with prognosis showed that nodal involvement was the only independent prognostic factor in all patients. Conclusion : Cathepsin D expression in stromal cells was significantly associated with p-stage in non-small cell lung cancer. However, it was not related to other clinicopathologic features and prognosis, and Cathepsin D expression in tumor was not related to p-stage and prognosis.

• The Journal of Engineering Geology
• /
• v.27 no.4
• /
• pp.393-403
• /
• 2017

Mountain disasters in Korea have caused massive social and economic damage. During the period 2005-2014 there has been an annual average of 7 deaths and disaster recovery costs of 79.8 billion won in the country's 4393 ha of mountainous areas. The primary mountain disasters are landslides on mountain slopes, and secondary debris flows can spread along mountain streams, damaging facilities and settlements in lower areas. Typhoons and local rainfall can cause such disasters, while anthropogenic factors include development that damages the mountainous terrain. The study area was divided into three basins. For each basin, a debris flow vulnerability assessment method was proposed considering FLO-2D analysis results and the local topography, geology, and forestation. To establish an in situ investigation, analysis, and evaluation plan for potential mountain disasters, we selected mountain basins that are potentially vulnerable to mountain disasters through analysis of their mountain slopes and streams. This work suggests the establishment of a comprehensive plan for disaster prevention based on a mountain basin feature.