• Journal of Korea Multimedia Society
• /
• v.21 no.8
• /
• pp.1021-1026
• /
• 2018

3D SCAN enables easy human body measurement via a digital method in the process of film costume production which used to be done manually. Software-oriented computer graphic, which integrates 3D SCAN data in the process of manual film costume production, can induce quick and diverse design outcomes. While, 3D PRINT, which integrates computer graphic data in the process of manual film costume production, can automate the process of special costume production using a digital method. Integration of 3D Scan + Computer Graphic + 3D Print using integrated platforms for tailored costume production as developed in this study allows significant reduction of costume production period and costs. It also allows efficient integration of costume production outcomes in various industries related with OSMU contents in particular. In other words, using it, we can create a new business market that integrates multiple areas of film content, drama content and game content.

• Journal of the Semiconductor & Display Technology
• /
• v.18 no.4
• /
• pp.46-50
• /
• 2019

In this paper, We used the regression model of machine learning for improve the print quantity problem when which print scaffold with 400 ㎛ pore using FDM 3d printer. We have difficult to experiment with changing all factors in the field. So we reduced print quantity by selected two factors that most impact the pore size. We printed and measured scaffold 5 times under same conditions. We created regression model using scaffold pore size and print conditions. We predicted pore size of untested print condition using the regression model. After print scaffold with 400 ㎛ pore, we printed scaffold 5 times under same conditions. We compare the predicted scaffold pore size and the measured scaffold pore size. We confirmed that error is less than 1 % and we verified the results quantitatively.

• Journal of the Semiconductor & Display Technology
• /
• v.19 no.4
• /
• pp.59-64
• /
• 2020

In this paper, we found the solution using data based machine learning regression method to check the pore shape, to solve the problem of the experiment quantity occurring when producing scaffold with the 3d printer. Through experiments, we learned secured each print condition and pore shape. We have produced the scaffold from scaffold pore shape defect prediction model using multiple linear regression method. We predicted scaffold pore shapes of unsecured print condition using the manufactured scaffold pore shape defect prediction model. We randomly selected 20 print conditions from various predicted print conditions. We print scaffold five times under same print condition. We measured the pore shape of scaffold. We compared printed average pore shape with predicted pore shape. We have confirmed the prediction model precision is 99 %.

• Journal of the Semiconductor & Display Technology
• /
• v.19 no.1
• /
• pp.36-41
• /
• 2020

In this paper, We need to change all print factors when which print scaffold with 400 ㎛ pore using FDM 3d printer. Therefore the print quantity is 10 billion times, So we are difficult to print on workplace. To solve the problem, we used the prediction model based machine learning regression. We preprocessed and learned the securing print condition data, and we produced different kinds of prediction models. We predicted the pore size of scaffolds not securing with new print condition data using prediction models. We have derived the print conditions that satisfy the pore size of 400 ㎛ among the predicted print conditions of pore size. We printed the scaffolds 5 times on the condition. We measured the pore size of the printed scaffold and compared the average pore size with the predicted pore size. We confirmed that error was less than 1%, and we were identify the model with the highest pore size prediction performance of scaffold.

• Journal of the Korean Society of Radiology
• /
• v.13 no.4
• /
• pp.597-603
• /
• 2019

We obtained a Dicom file using a CT (Computed Tomography), a diagnostic test device used in clinical practice. Dicom files and 3D programs, and finger printers with 3D printers. Because the finger brace is intended for the human body, the accuracy of the shape is very important. 3D Print has the advantage of high precision, variety of materials, and short output time. In clinic, aluminum protector or medical device manufacturer's finger protector is limited. By creating a finger brace with a 3D printer, we expect to be able to apply a precise form of a custom finger brace to the patient that can be used to treat a patient's finger trauma, illness, or deformity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2017.10a
• /
• pp.92-93
• /
• 2017

Before showing the real house, generally a broker shows the blue print of the house to a customer who looks for houes to reside. However, it is difficult to for the customer to realize the house in detail by the blue print. To solve this problem, meet develop model house system using the virtual reality technology. The develop system shows the blue print of the house in 3D on the android device and make it possible for the user to move in the house projected virtually by using controllers.

• Journal of the Korean Society of Radiology
• /
• v.13 no.2
• /
• pp.241-246
• /
• 2019

Among the 4th Industrial Revolution technologies, evaluated bolus applicability through dose assesment according to the materials of 3D printing technology. Dose assesment was using MCNPX which was applied Monte Carlo method and 3D print materials were ABS, PC and PLA. Thus, the thickness with the same effect as the bolus 10 mm was found to be ABS 10 mm, PC 9 mm and PLA 9 mm for the 6 MeV electron. For 6 MV X-ray, ABS 11 mm, PC 10 mm and PLA 9 mm were shown. This study showed that tissue equivalent materials made from 3D printer materials can replace bolus.

• Journal of Information Processing Systems
• /
• v.18 no.2
• /
• pp.223-234
• /
• 2022

The evaluation of the print quality of 3D printing has traditionally relied on manual work using dimensional measurements. However, the dimensional measurement method has an error value that depends on the person who measures it. Therefore, we propose the design of a new print quality measurement method that can be automatically measured using the field-of-view (FOV) model and the intersection over union (IoU) technique. First, the height information of the modeling is acquired from a camera; the output is measured by a sensor; and the images of the top and isometric views are acquired from the FOV model. The height information calculates the height ratio by calculating the percentage of modeling and output, and compares the 2D contour of the object on the image using the FOV model. The contour of the object is obtained from the image for 2D contour comparison and the IoU is calculated by comparing the areas of the contour regions. The accuracy of the automated measurement technique for determining, which derives the print quality value was calculated by averaging the IoU value corrected by the measurement error and the height ratio value.

• The KSFM Journal of Fluid Machinery
• /
• v.10 no.3 s.42
• /
• pp.39-46
• /
• 2007

This study presents a numerical procedure to optimize the shape of staggered dimple surface to enhance turbulent heat transfer in a rectangular channel. The RBNN method is used as an optimization technique with Reynolds-averaged Navier-Stokes analysis of fluid flow and heat transfer with shear stress transport (SST) turbulence model. The dimple depth-to-dimple print diameter (d/D), channel height-to-dimple print diameter ratio (H/D), and dimple print diameter-to-pitch ratio (D/S) are chosen as design variables. The objective function is defined as a linear combination of heat transfer related term and friction loss related term with a weighting factor. Latin Hypercube Sampling (LHS) is used to determine the training points as a mean of the design of experiment. The optimum shape shows remarkable performance in comparison with a reference shape.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.24 no.9
• /
• pp.682-686
• /
• 2014

Nowadays, the needs to revise the classification criteria for noise emission facilities have been suggested by the related industries. Because there existed many reasonable factors in the criteria regarding the noise emission facilities. And the noise emission facility classification criterion of the print machine changed from 50 HP to 100 HP in 2013. But the increasement of the noise emission facility classification criterion of the print machine can cause adverse effects like the bigger noise. So, in this paper, we measured the print machine's sound power level according to the changes of the print machine's power to assess the adverse effects. The measurement method applied with KS I ISO 9614-2(1996). The corelation between the sound power level and the power of print machines was analyzed by regression analysis. In this paper, we found that the sound power level of the print machines can increase about 1.3 dB in the condition of that the power of print machine increases from 50 HP to 100 HP. And we found that the sound power level of the print machines can increase about 1.0 dB for a increasement of 1,000 SPH(sheet per hour) of printing speed. The noise emission characteristics of print machine stuied in this paper will be useful to design the noise reduction plan in the future.