• The KIPS Transactions:PartB
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• v.12B no.5 s.101
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• pp.567-576
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• 2005

This paper proposes an image-based modeling method which recovers 3D models using projected line segments in multiple images. Using the method, a user obtains accurate 3D model data via several steps of simple manual works. The embedded nonlinear minimization technique in the model parameter estimation stage is based on the distances between the user provided image line segments and the projected line segments of primitives. We define an error using a finite line segment and thus increase accuracy in the model parameter estimation. The error is defined as the sum of differences between the observed image line segments provided by the user and the predicted image line segments which are computed using the current model parameters and camera parameters. The method is robust in a sense that it recovers 3D structures even from partially occluded objects and it does not be seriously affected by small measurement errors in the reconstruction process. This paper also describesexperimental results from real images and difficulties and tricks that are found while implementing the image-based modeler.

• The Research Journal of the Costume Culture
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• v.13 no.4 s.57
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• pp.550-563
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• 2005

These days, photoshop and illustrator program can make a fashion illustration express easily and speedily, And they can also express a feeling and sensitivity of fashion illustrator by a tool and effect more than a manual work's media. The purpose of this study was to analyze a visual expression and characteristics in fashion illustration using 2D graphics. The method of this study was to analyze the fashion illustration books using 2D graphics. The visual expressions in fashion illustration using 2D graphics were as follows: Fashion illustration was based on a sketch or photography, and used a composition, drawing, mapping, painting, and manual work's re-touching. Characteristics of visual expression were as follows: First, a image composition was showed discontinuity and heterogeneity of image, new context and composition, and allowance of reality. Second, image transform was showed image overlap, body transformation by image recomposition, and deformed transformation by vector drawing. Third, hyper-real was showed precise touching, mechanical and neutral image, omission of background and focus of an object's characteristic and information. Fourth, following a realistic expression was showed simplified color, shading, dominant view point of fashion illustrator by omission, and daily lift style. Fifth, following a pictorial expression was showed non-fixed and irregular line, natural painting, and drawing and painting by conventional pictorial media. In conclusion, a photoshop and illustrator in 2D graphics will serve as a new media far fashion illustration with a manual work. And they will not only intensify a capacity as a commercial role of fashion illustration but also present a positive motive for students learning a fashion illustration.

• Transactions of the Korean Society of Mechanical Engineers
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• v.10 no.6
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• pp.889-897
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• 1986

The purpose of this study is to describe the strategy of machining process suitable for developing adaptive control with constraint of NC-machine tool. The algorithm that controls machining process parameters of every sampling time is established for the constraint of torque in machinig center. To prove this AC algorithm, manual AC-unit control test is used for simulating the on-line AC strategy control. Also machining tests are carried out on a CNC-machining center fitted with the ACC system and compared with the simulated results. The practical effectiveness of the ACC systems so discussed and the reduction of machining time are demonstrated with reference to typical models of cutting workpieces. As a typical model, taper and step geometry model are selected. The computer simulation results have a good agreement with the experimental observation and make it possible to develope a NC-machine tool with an on-line ACC system.

• Journal of Korean Tunnelling and Underground Space Association
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• v.12 no.3
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• pp.239-245
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• 2010

The present study is about an efficient extraction of tunnel cross sections from huge point cloud achieved by a terrestrial laser scanner. A method, using a hash-based data structure, is introduced, by which point clouds, potentially composing cross sections, are extracted along a tunnel center line. The center line is estimated by linking points which are drawn in the middle of pseudo cross sections based on the hash-based data structure. Point clouds of a same thickness are extracted at a same interval along the center line. In result, it took less than 3 seconds and 124 MB of memory to extract, out of the 7.5 million points, the point clouds of 1 m interval and 0.1 m thickness. A manual operation, however, was needed to fix the outliers on the center line and to select both start and end points on it.

• The Journal of Korea CHUNA Manual Medicine
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• v.4 no.1
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• pp.75-88
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• 2003

Objectives : The purpose of this study is to find out the effects of Catalpa Ovata on the collagen-induced arthritis in the lewis rats. and we infere the effects of Catalpa Ovata on the rheumatoid arthritis in the human body. Methods : We investigated the effect of Catalpa Ovata on the Collagen-induced arthritis in Lewis rats via morphology, histology and serology as an experimental group, a control group, and a normal group. We feed Catalpa Ovata. only to an experimental group. Results : According to this research, the abnormal finding In Moire topography was 53.7% (1,018 students), and students needed X-ray re-examination were 11.2% (213 students). Students diagnosed scoliosis by X-ray re-examination were 1.8%. According to statistical analysis, interval between vertical base line of pelvis and vertical base line of neck, gap between left distance and right distance to the vertical base line of pelvis and difference of contour lines have strong correlations with deformity degree of the body surface examined by Moire. Conclusions : 1. The weight of an experimental group were lower than control group with statistically significant at 15 days later. 2, The paw edema volume of an experimental group were lower than control group at 10 days, 15 days later. but couldn't be found meaning. 3. The size of the tarsal joint of an experimental group were lower than control group at 5 days, 10 days, 15 days later, but couldn't be found meaning. 4. The volume of tumor necrosis factor-a at an experimental group were lower than control group with statistically significant. 5. The volume of interleukin-$1{\beta}$ at an experimental group were lower than control group with statistically significant. 6. An experimental group and a control group were showed ankylosing osteoarthritis, but an experimental group compared with a control group, alleviated In the fibrous ankylosis, destruction of articular cartilage and destruction of subchondral bony tissue. According to the above results, it might be considered that Catalpa Ovata has the suppression of the advance of the Collagen-induced arthritis and that result were presumed to bo connected with suppression of volume of the tumor necrosis $factor-{\alpha}$ and $interleukin-1{\beta}$ in the blood.

• Journal of Appropriate Technology
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• v.5 no.2
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• pp.70-81
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• 2019

The garment industry is one of the most labor-intensive manufacturing industries, with its sewing process relying almost entirely on manual labor. Its costs highly depend on the efficiency of this production line and thus is crucial to determine the production rate in real-time for line balancing. However, current production tracking methods are costly and make it difficult for many Small and Medium-sized Enterprises (SMEs) to implement them. As a result, their reliance on manual counting of finished products is both time consuming and prone to error, leading to high manufacturing costs and inefficiencies. In this paper, a production tracking system that uses the sewing machines' energy consumption data to track and count the total number of sewing tasks completed through Convolutional Neural Network (CNN) classifiers is proposed. This system was tested on two target sewing tasks, with a resulting maximum classification accuracy of 98.6%; all sewing tasks were detected. In the developing countries, the garment sewing industry is a very important industry, but the use of a lot of capital is very limited, such as applying expensive high technology to solve the above problem. Applied with the appropriate technology, this system is expected to be of great help to the garment industry in developing countries.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.3180-3186
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• 2011

A segmented scissors type switch has been developed for the urban transit maglev demonstration line to be commercialized near Incheon International Airport in 2013. Based on the design of the previous segmented 3-way switch, the scissors switch is composed of four segmented 2-way switches up/down and left/right and a turn table in the mid point. The main function of the scissors switch is to change the running direction of the train at end terminals. The developed scissors switch is planned to be installed in front of the 102 station, which has a side platform, of the demonstration line. The total length of the switch is 65m and the distance between the up and down track centerlines is 6m. The 2-way switches and turn table are made of steel box type beams, and have their own driving unit, locking unit, control unit, levitation and propulsion rails, and so on. Installed in the factory, a 100,000-cycle continuous operation test was carried out after manual and automatic test operations. The applicapability of the developed switch was verified through the measurements of the linearity of the track after repetitive operations, the mechanical operation noise, the load of the main driving motor, the safety of the control panel, the natural frequency of the girder, the deformation of the girder, and so on.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.2
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• pp.585-591
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• 2013

A robot automation system for coating uniformly a big radiator used in PPS(Packaged Power Station), which consists of 6-axis robot with spray gun, travelling vehicle, supply device of coating paint and thinner with pressured air, HMI controller and robot path OLP(Off-Line Programming), was developed. Experimental results on an optimum operation condition show that a coating thickness is $43{\mu}m$, which is satisfied to a design reference of $25-100{\mu}m$. A productivity of the developed coating robot automation system based on OLP is about 12.6 times of that of manual operation.

• Journal of the Korean Society of Physical Medicine
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• v.7 no.1
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• pp.111-118
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• 2012

Purpose : The purpose of present study was to determine effects of action observation training on upper limb function after stroke. Training was progressed to imitation and intensive training after observation to required action in ADL. Methods : Among the single case study was used to ABA design. pre base line(A) was only collected participant information without intervention in 5 times. action observation intervention(B) was carried out 10 times and 5 times to base lime(A) after intervention. Results : Results indicated that 10-second test, box and block test, manual function test was increased when compared action observation intervention(B) to pre base line(A). Conclusion : To stroke action observation training was evaluated gross manipulation, dexterity and upper limb function in related with ADL. action observation training benefits were maintained after intervention(B) and showed improvement on upper limb function of stroke.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.37 no.2
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• pp.55-62
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• 2019

The stereo geometry establishment based on the precise sensor modeling is prerequisite for accurate stereo data processing. Ground control points are generally required for the accurate sensor modeling though it is not possible over the area where the accessibility is limited or reference data is not available. For the areas, the relative orientation should be carried out to improve the geometric consistency between the stereo data though it does not improve the absolute positional accuracy. The relative orientation requires conjugate points that are well distributed over the entire image region. Therefore the automatic conjugate point extraction is required because the manual operation is labor-intensive. In this study, we applied the method consisting of the key point extraction, the search space minimization based on the epipolar line, and the rigorous outlier detection based on the RPCs (Rational Polynomial Coefficients) bias compensation modeling. We tested different parameters of window sizes for Kompsat-2 across track stereo data and analyzed the RPCs precision after the bias compensation for the cases whether the epipolar line information is used or not. The experimental results showed that matching outliers were inevitable for the different matching parameterization but they were successfully detected and removed with the rigorous method for sub-pixel level of stereo RPCs precision.