• Korean Journal of Social Welfare Studies
• /
• v.41 no.3
• /
• pp.29-56
• /
• 2010

One of the most popular keywords in 21th century is "Information Society". Information Society improves the overall quality of human life, but increases the negative aspects such as internet addiction and digital divide. The purpose of this study is to understand the vicious cycle between socio-economic disparities and digital divide. This study analyzed the effects of poverty on school maladjustment and academic achievement and mediation effects by using parental monitoring and internet use types as mediators. Data were obtained from the Korea Youth Panel Survey(KYPS). Structural equation modeling was employed for statistical analyses. The result showed that poverty reduced parental monitoring and information-oriented type of internet use. Youth who used less information-oriented type showed more school maladjustment and less academic achievement. However, the relationship between poverty and entertainment-oriented type was non-significant. Thus, parental monitoring and the internet use types were one of the main pathways which can affect school maladjustment and academic achievement among youth in poverty. There was the possible vicious cycle between poverty and digital divide. Based on this study, we strongly suggest improvement of the media competence to solve the problem of digital divide among youth in poverty.

• Journal of the Korean Society of Costume
• /
• v.66 no.7
• /
• pp.124-138
• /
• 2016

The present study observes collaboration methods in which 3D printing was a part of the fashion manufacturing process, expression methods of such cases, and their ripple effects. As a result, the three types of collaborations between fashion designers and other industry fields, fashion brands and 3D printing companies, and fashion designers and artists. Case analysis results and ripple effects found according to each collaboration method were as follows. First, in collaborations found were between fashion designers and other industry fields, 3D printed fashion works with futuristic images were seen through the fusion of future industries, which claim to support cutting edge digital technology, and creative fashion design. As they were mainly collaborations between automobile industries with cutting edge images or digital related industries and fashion designers, they were expressed as a new form of experimental clothing, and were used as strategies to improve future corporate images of the high tech industry. Second, in collaborations between fashion brands and 3D printing technology businesses, the sporting good brands and the shoe industry attempted to let their products be known through the promotion of functional material or ergonomic technology. While they emphasize practicality by mainly using flexible material, they were mainly proposed as functional sporting goods for famous players or as shoe accessories, so methods are still used for public distribution as brand promoting marketing strategies. Third, with collaborations between fashion designers and artists, creative pieces were shown through the grafting of 3D printing technology, the artistry of artists, and the experimentation of fashion designers. In particular, the innovative value of fashion as art was created through the union of the artistic 3D modeling technology support of artists and the creativity of designers. Like this, 3D printing fashion can graft the cutting edge nature of fashion to other industry fields through collaborations, enhancing pacesetting images, and in the fashion field, it can improve possibilities for innovations in the fashion industry through the support of 3D printing technology businesses and artists, raising expectations towards future human living.

• Journal of Digital Contents Society
• /
• v.16 no.3
• /
• pp.417-424
• /
• 2015

The research of occupational injury for safety and health is a comparatively recent occurrence. As labor activities took place regarding to employee concerns in industrial uprising, human resources health was tried to enhanced as a labor safety subject. Noticing that traditional statistics approach has limitations in learning future forecasting and major factors causing occupational injuries in each industry, Korean Government initiated a quantitative systematic simulation model project to analyze how the annual injury rate has been dropped and stays in a level for recent years. From this motivation and the project, system dynamics models have been developed to explain the mechanisms for reducing annual injury rate, and the mechanisms quantitatively. The main cause effects for the reduction of annual injury rate were due to the government driven investment on safety facilities. In overall viewpoint the gain achievable from these efforts has been reached a saturated level. However, it could reduce the annual injury rate if you chose the industry and size carefully. The model for forecasting, major injury factors, safety budget and allocation are introduced and analyzed, and Analyzing occupational injury related factors can also reduce employee injury and disease related costs, including medical care, quit, and disability assistance costs.

• Journal of Digital Convergence
• /
• v.17 no.8
• /
• pp.429-437
• /
• 2019

This study examined diverse capital dynamics and the effect of the dynamics on the quality of life of Korean baby boomers living in Jeonju. Also this study investigated the moderating effect of birth cohort. A structural equation modeling conducted with 303 baby boomers for verification. The results are as follows: First, the human capital of baby boomer directly or indirectly affected psychological, economic, social capital, and quality of life. Second, economic capital directly or indirectly affected psychological, social capital, and quality of life. Third, psychological capital directly or indirectly affected social capital and quality of life. Fourth, social capital affected the quality of life. Fifth, the birth cohort moderated the impacts of economic capital on psychological capital and quality of life. The results provided an understanding of the quality of life of baby boomer and the direction of intervention.

• Fashion & Textile Research Journal
• /
• v.20 no.6
• /
• pp.722-732
• /
• 2018

This study was to develop a dress form that is highly representative of the body shapes of senior men in their 50s and 60s. And this research was compared the measurements and forms of three different dress forms available in the market, in order to analyze the body type and suitability and provide a standard for developing and utilizing the dress forms. After extracting the body shapes of the senior men's 3D shape, the body type that is curvature on the back prevalent among senior men, was chosen. The dress form was created as follows: 3D modeling and rendering, printing with a FDM-type 3D printer. The dress forms were 3D-scanned and the 3D data was analyzed - classification drop value, area deviation, compared horizontal section and vertical section. The results were as follows: This suggested that the area deviation amount at the chest and hip circumference levels was larger in the commercial products than in the dress form in this study, while that at the waist circumference level was larger in the dress form in this study. The vertical length of the lateral shoulder point-waist circumference was smaller, the side shape showed severe curvature on the back, and the waist circumference was larger in the senior men dress form than the commercial products. The dress form developed in this study reflected the body type of senior men and, therefore, were suitable for fitting when creating clothes for senior men.

• Imaging Science in Dentistry
• /
• v.51 no.1
• /
• pp.41-47
• /
• 2021

Purpose: This study aimed to compare the accuracy of 3-dimensional(3D) printed models derived from multidetector computed tomography (MDCT) and cone-beam computed tomography (CBCT) systems with different fields of view (FOVs). Materials and Methods: Five human dry mandibles were used to assess the accuracy of reconstructions of anatomical landmarks, bone defects, and intra-socket dimensions by 3D printers. The measurements were made on dry mandibles using a digital caliper (gold standard). The mandibles then underwent MDCT imaging. In addition, CBCT images were obtained using Cranex 3D and NewTom 3G scanners with 2 different FOVs. The images were transferred to two 3D printers, and the digital light processing (DLP) and fused deposition modeling (FDM) techniques were used to fabricate the 3D models, respectively. The same measurements were also made on the fabricated prototypes. The values measured on the 3D models were compared with the actual values, and the differences were analyzed using the paired t-test. Results: The landmarks measured on prototypes fabricated using the FDM and DLP techniques based on all 4 imaging systems showed differences from the gold standard. No significant differences were noted between the FDM and DLP techniques. Conclusion: The 3D printers were reliable systems for maxillofacial reconstruction. In this study, scanners with smaller voxels had the highest precision, and the DLP printer showed higher accuracy in reconstructing the maxillofacial landmarks. It seemed that 3D reconstructions of the anterior region were overestimated, while the reconstructions of intra-socket dimensions and implant holes were slightly underestimated.

• Journal of Digital Convergence
• /
• v.18 no.6
• /
• pp.9-16
• /
• 2020

The purpose of this study is to understand the public needs for AI education actively promoted and supported by the current government. In doing so, 11 metropolitan news articles and Twitter posts regarding AI education that have been posted from January 1, 2018 to December 31, 2019 were collected. Then, word frequency analysis using TF(Term Frequency) method and LDA(Latent Dirichlet Allocation) method of topic modeling analysis were conducted. The topics of the news articles turn out to be a macroscopic policy support such as 'training female manpower in the AI field' and 'curriculum reform of university and K-12', whereas the topics of twitter delineate more detailed social perception on future society, such as future competencies and pedagogical methods, including 'coexistence with intelligent robots', 'coding education', and 'humane education competence development'. The findings are expected to be used to suggest the implications for the composition and management of AI curriculum as well as the basic framework of human resources development in the future industry.

• Journal of Digital Convergence
• /
• v.18 no.11
• /
• pp.259-266
• /
• 2020

Many developments have been steadily carried out by researchers with applying knowledge-based expert system or machine learning algorithms to the financial field. In particular, it is now common to perform knowledge based system trading in using stock prices. Recently, deep learning technologies have been applied to real fields of stock trading marketplace as GPU performance and large scaled data have been supported enough. Especially, LSTM has been tried to apply to stock price prediction because of its compatibility for time series data. In this paper, we implement stock price prediction using LSTM. In modeling of LSTM, we propose a fitness combination of model parameters and activation functions for best performance. Specifically, we propose suitable selection methods of initializers of weights and bias, regularizers to avoid over-fitting, activation functions and optimization methods. We also compare model performances according to the different selections of the above important modeling considering factors on the real-world stock price data of global major companies. Finally, our experimental work brings a fitness method of applying LSTM model to stock price prediction.

• Journal of radiological science and technology
• /
• v.40 no.3
• /
• pp.433-441
• /
• 2017

The 3D printing selective laser sintering (SLS) and stereo lithography apparatus (SLA) method used for bone model production has good precision and resolution, but the printers are expensive and need professional knowledge for operation. The program that converts computed tomography digital imaging and communications in medicine (DICOM) file into STL (stereolithography) file is also expensive so requesting 3D printing companies takes a lot of time and cost, which is why they are not generally utilized in surgery. To produce bone models of fractured patients, the use of 3D imaging conversion program and 3D printing system should be convenient, and the cost of device and operation should be low. Besides, they should be able to produce big size bone models for application to surgery. Therefore, by using an fused deposition modeling (FDM) method 3D printer that uses thermoplastic materials such as DICOM Viewer OsiriX and plastic wires, this study developed 3D printing system for Fracture surgery Patients customized bone model production for many clinics to use for surgery of fracture patients by universalizing with no limit in printing sizes and low maintenance and production cost. It is expected to be widely applied to the overall areas of orthopedics' education, research and clinic. It is also expected to be conveniently used in not only university hospitals but also regular general hospitals.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.25 no.4
• /
• pp.327-336
• /
• 2007

The 3D building modeling is one of crucial components in building 3D geospatial information. The existing methods for 3D building modeling depend mainly on manual photogrammetric processes by stereoplotter compiler, which indeed take great amount of time and efforts. In addition, some automatic methods that were proposed in research papers and experimental trials have limitations of describing the details of buildings with lack of geometric accuracy. It is essential in automatic fashion that the boundary and shape of buildings should be drawn effortlessly by a sophisticated algorithm. In recent years, airborne LiDAR data representing earth surface in 3D has been utilized in many different fields. However, it is still in technical difficulties for clean and correct boundary extraction without human intervention. The usage of airborne LiDAR data will be much feasible to reconstruct the roof tops of buildings whose boundary lines could be taken out from existing digital maps. The paper proposed a method to reconstruct the roof tops of buildings using airborne LiDAR data with building boundary lines from digital map. The primary process is to perform octree-based segmentation to airborne LiDAR data recursively in 3D space till there are no more airborne LiDAR points to be segmented. Once the octree-based segmentation has been completed, each segmented patch is thereafter merged based on geometric spatial characteristics. The experimental results showed that the proposed method were capable of extracting various building roof components such as plane, gable, polyhedric and curved surface.