• Korean Journal of Digital Imaging in Medicine
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• v.9 no.2
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• pp.11-16
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• 2007

We have evaluated and compared of gradient echo and spin echo EPI for compensating about deeply distortion aspect in case of post-operation patients in magnetic resonance image. A total of 100 patients were performed on 3.0 T(GE Signa Excite E2, USA) with 8ch head coil. As a result of analysis, The SNRs of whiter and gray matter areas were 36.74 $\pm$ 06 and 39.96 $\pm$ 09 in the gradient echo EPI, the SNRs which white and gray matter areas were slightly higher than gradient echo EPI(P<0.005, paired student t-test). It was 46.24 $\pm$ 11 and 51.38 $\pm$ 13 in gradient and spin echo EPI, respectively. The signal intensity in the whiter and gray matter areas also were 87.33 $\pm$ 15.24 and 140.66 $\pm$ 13.45 in the gradient echo EPI techniques, The signal intensity of gradient echo EPI showed higher values compared to spin echo EPI. Otherwise, gradient echo EPI technique is distortion enough to operation wound and edge of the image, while spin echo EPI technique did not appear almost. In this point, the spin echo EPI technique, after surgical operation according to patient state beside gradient echo EPI techniques that signalbeside gradient echo EPI techniques that signal intensity is high and patient's case which image distortion is serious by metal etc, will be provide the useful information in adults and pediatric patients.

• Journal of Multimedia Information System
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• v.7 no.1
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• pp.1-10
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• 2020

The image analysis is an important and predominant task for classifying the different parts of the image. The analysis of complex image analysis like histopathological define a crucial factor in oncology due to its ability to help pathologists for interpretation of images and therefore various feature extraction techniques have been evolved from time to time for such analysis. Although deep reinforcement learning is a new and emerging technique but very less effort has been made to compare the deep learning and deep reinforcement learning for image analysis. The paper highlights how both techniques differ in feature extraction from complex images and discusses the potential pros and cons. The use of Convolution Neural Network (CNN) in image segmentation, detection and diagnosis of tumour, feature extraction is important but there are several challenges that need to be overcome before Deep Learning can be applied to digital pathology. The one being is the availability of sufficient training examples for medical image datasets, feature extraction from whole area of the image, ground truth localized annotations, adversarial effects of input representations and extremely large size of the digital pathological slides (in gigabytes).Even though formulating Histopathological Image Analysis (HIA) as Multi Instance Learning (MIL) problem is a remarkable step where histopathological image is divided into high resolution patches to make predictions for the patch and then combining them for overall slide predictions but it suffers from loss of contextual and spatial information. In such cases the deep reinforcement learning techniques can be used to learn feature from the limited data without losing contextual and spatial information.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.413-421
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• 2016

This research, mainly focused on the development of the iPhone exclusive app 'Sketch Plus', is on the production of pens within the smart media. Our goal is to develop and reproduce pens with surreal rendering as a base and during that process, describe the fusing process of design perspectives and algorithms. This research comprehends the concept of surreal rendering, which is a technique that mimics traditional art forms, and suggests 15 pen techniques and ways to display them by analyzing previous research on smart media. We have described the process of using hatching patterns and resused to solve lag problems that occur during the reproduction of pen techniques due to the limitations of smart devices and organized the conversion process of pen patterns into 4 steps: rough sketch, contrast, applying and mimicking patterns, and applying color. We hope that this research on the reproduction of analog pen techniques can be used as an example for production on fused surreal rendering.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.349-355
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• 2020

The Fourth Industrial Revolution has emerged, and technologies of various industries are being converged, compounded, or clouded computing, mobile, or big data. The emergence of a variety of skills and new jobs to match them is bringing the public out of the education and occupation of traditional metal crafts. In this change, craft education should find and study the education method suitable for the present times, and apply it to the educational field to raise public interest and revival. To this end, we will investigate the cases of education in other industries where new materials or technologies have been introduced, and use them in education of traditional metal craft techniques. In addition, we will investigate various cases and features of 3D printing technology and use it for education in craft techniques that have limited time, space and resources.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.42 no.9 s.339
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• pp.1-10
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• 2005

In this paper, we proposed predistortion algerian that can compensate temperature distortion by digital. Predistortion algorithm produces compensation value of distortion by temperature as well as system nonlinear distortion by input level, and warps beforehand signal of baseband. To prove excellency of such algorithm we applied predistortion algorithm to Saleh's high power amplifier model, and did computer simulation. As a result, P1dB increased about 0.5 dBm phase shift reduced about $0.8^{o}$ than existent the A&P PD, and predistiortion algorithm to apply temperature compensation techniques improved P1dB about 2dBm and stabilized phase shift by about $0.1^{o}$ low. When approved UMTS's sample signal to this amplifier, IMD3 of amplifier decreased 10dBm than is no temperature compensation techniques, and reduced 19dBm than signal that is no distortion.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.509-514
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• 2014

It is said that ceramic arts which reflects the sprit of the age and culture is one of the representative cultural assets in Korea. Ceramic arts has the longest tradition and it has been used in our everyday life from a historical perspective. Unfortunately, most textbooks we use nowadays just show some art works for appreciation. It is impossible to teach unique techniques of ceramic arts with those textbooks. Traditional culture is not considered as a main part of educational contents but surrounding elements. Therefore it is hard for students to learn about our traditional culture deeply and it is also difficult to know the importance of the ceramic arts in secondary schools. Through the education of ceramic arts students can understand our traditional culture and they can also experience the formative arts by using plane and dimensional techniques. Teachers have to focus on historical background, types, functions, and sense of beauty of ceramic arts when they teach students in school. Students can use the knowledge in their daily lives. The education of ceramic arts encourage students to create new culture for ceramic arts.

• Journal of Digital Convergence
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• v.11 no.10
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• pp.305-311
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• 2013

The size of the market as the economy continues to evolve, in order to make the right decisions to accurately predict the economic problems the market has emerged as an important issues. To express the modern economic system, the largest of the various economic indicators, pillars stock indicators analysis and decision-making with a proper understanding of the problem for the application of the model is suitable for time-series data concealment HMM. Based on this time series model and the calculation of the time and cost savings dimension decrease techniques for the estimation and prediction of the model was applied to the problem was to verify the validity. As a result, the model predictions in both the short term rather than long-term predictions of the model estimates the optimal predictive value similar pattern very similar to both the actual data and was able to confirm that.

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

• Restorative Dentistry and Endodontics
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• v.47 no.4
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• pp.36.1-36.17
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• 2022

Objectives: This study aimed to evaluate the effect of aging on the marginal quality of glass hybrid (GH) material used to elevate dentin gingival margins, and to analyze the consistency of the results obtained by 3 in vitro methods. Materials and Methods: Ten teeth received compound class II cavities with subgingival margins. The dentin gingival margins were elevated with GH, followed by resin composite. The GH/gingival dentin interfaces were examined through digital microscopy, scanning electron microscopy (SEM) using resin replicas, and according to the World Dental Federation (FDI) criteria. After initial evaluations, all teeth were subjected to 10,000 thermal cycles, followed by repeating the same marginal evaluations and energy dispersive spectroscopy (EDS) analysis for the interfacial zone of 2 specimens. Marginal quality was expressed as the percentage of continuous margin at ×200 for microscopic techniques and as the frequency of each score for FDI ranking. Data were analyzed using the paired sample t-test, Wilcoxon signed-rank test, and Pearson and Spearmen correlation coefficients. Results: None of the testing techniques proved the significance of the aging factor. Moderate and strong significant correlations were found between the testing techniques. The EDS results suggested the presence of an ion-exchange layer along the GH/gingival dentin interface of aged specimens. Conclusions: The marginal quality of the GH/dentin gingival interface defied aging by thermocycling. The replica SEM and FDI ranking results had stronger correlations with each other than either showed with the digital microscopy results.

• Journal of Korean Library and Information Science Society
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• v.47 no.1
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• pp.175-198
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• 2016

This study intends to implement a OPAC prototype for digital kids. To the end, this study applies prototyping techniques that design, evaluate and improve an early sample model. Included in this study are as follows: (1) design a conceptual model of new OPACs based on the information need analysis of digital kids, (2) implement a OPAC prototype with WordPress 4.2 version, (3) evaluate the prototype OPAC from the viewpoint of digital kids and children librarians, and finally, (4) suggest the improved model and implementational strategies for kid's OPAC. 6 fourth and fifth graders in the elementary school and 5 children librarians in public libraries participate in the final evaluation process.