• Title/Summary/Keyword: Synthetic Application

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Synthetic data augmentation for pixel-wise steel fatigue crack identification using fully convolutional networks

  • Zhai, Guanghao;Narazaki, Yasutaka;Wang, Shuo;Shajihan, Shaik Althaf V.;Spencer, Billie F. Jr.
    • Smart Structures and Systems
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    • v.29 no.1
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    • pp.237-250
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    • 2022
  • Structural health monitoring (SHM) plays an important role in ensuring the safety and functionality of critical civil infrastructure. In recent years, numerous researchers have conducted studies to develop computer vision and machine learning techniques for SHM purposes, offering the potential to reduce the laborious nature and improve the effectiveness of field inspections. However, high-quality vision data from various types of damaged structures is relatively difficult to obtain, because of the rare occurrence of damaged structures. The lack of data is particularly acute for fatigue crack in steel bridge girder. As a result, the lack of data for training purposes is one of the main issues that hinders wider application of these powerful techniques for SHM. To address this problem, the use of synthetic data is proposed in this article to augment real-world datasets used for training neural networks that can identify fatigue cracks in steel structures. First, random textures representing the surface of steel structures with fatigue cracks are created and mapped onto a 3D graphics model. Subsequently, this model is used to generate synthetic images for various lighting conditions and camera angles. A fully convolutional network is then trained for two cases: (1) using only real-word data, and (2) using both synthetic and real-word data. By employing synthetic data augmentation in the training process, the crack identification performance of the neural network for the test dataset is seen to improve from 35% to 40% and 49% to 62% for intersection over union (IoU) and precision, respectively, demonstrating the efficacy of the proposed approach.

Application of T1 Map Information Based on Synthetic MRI for Dynamic Contrast-Enhanced Imaging: A Comparison Study with the Fixed Baseline T1 Value Method

  • Dong Jae Shin;Seung Hong Choi;Roh-Eul Yoo;Koung Mi Kang;Tae Jin Yun;Ji-Hoon Kim;Chul-Ho Sohn;Sang Won Jo;Eun Jung Lee
    • Korean Journal of Radiology
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    • v.22 no.8
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    • pp.1352-1368
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    • 2021
  • Objective: For an accurate dynamic contrast-enhanced (DCE) MRI analysis, exact baseline T1 mapping is critical. The purpose of this study was to compare the pharmacokinetic parameters of DCE MRI using synthetic MRI with those using fixed baseline T1 values. Materials and Methods: This retrospective study included 102 patients who underwent both DCE and synthetic brain MRI. Two methods were set for the baseline T1: one using the fixed value and the other using the T1 map from synthetic MRI. The volume transfer constant (Ktrans), volume of the vascular plasma space (vp), and the volume of the extravascular extracellular space (ve) were compared between the two methods. The interclass correlation coefficients and the Bland-Altman method were used to assess the reliability. Results: In normal-appearing frontal white matter (WM), the mean values of Ktrans, ve, and vp were significantly higher in the fixed value method than in the T1 map method. In the normal-appearing occipital WM, the mean values of ve and vp were significantly higher in the fixed value method. In the putamen and head of the caudate nucleus, the mean values of Ktrans, ve, and vp were significantly lower in the fixed value method. In addition, the T1 map method showed comparable interobserver agreements with the fixed baseline T1 value method. Conclusion: The T1 map method using synthetic MRI may be useful for reflecting individual differences and reliable measurements in clinical applications of DCE MRI.

Prospects of omics-driven synthetic biology for sustainable agriculture

  • Soyoung Park;Sung-Dug Oh;Vimalraj Mani;Jin A Kim;Kihun Ha;Soo-Kwon Park;Kijong Lee
    • Korean Journal of Agricultural Science
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    • v.49 no.4
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    • pp.749-760
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    • 2022
  • Omics-driven synthetic biology is a multidisciplinary research field that creates new artificial life by employing genetic components, biological devices, and engineering technique based on genetic knowledge and technological expertise. It is also utilized to make valuable biomaterials with limited production via current organisms faster, more efficient, and in huge quantities. As the bioeconomic age begins, and the global synthetic biology market becomes more competitive, investment in research and development (R&D) and associated sectors has grown considerably. By overcoming the constraints of present biotechnologies through the merging of big data and artificial intelligence technologies, huge ripple effects are envisaged in the pharmaceutical, chemical, and energy industries. In agriculture, synthetic biology is being used to solve current agricultural problems and develop sustainable agricultural systems by increasing crop productivity, implementing low-carbon agriculture, and developing plant-based, high-value-added bio-materials such as vaccines for diagnosing and preventing livestock diseases. As international regulatory debates on synthetic biology are now underway, discussions should also take place in our country for the growth of bioindustries and the dissemination of research findings. Furthermore, the system must be improved to facilitate practical application and to enhance the risk evaluation technology and management system.

The Effect of EGF on Proliferation Rate of the Human Periodontal Ligament Cells and Human Gingival Fibroblasts (치주인대세포 및 치은섬유아세포의 증식능에 대한 Epidermal growth factor의 영향)

  • Kim, Seon-Woo;Lee, Jae-Mok;Suh, Jo-Young
    • Journal of Periodontal and Implant Science
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    • v.26 no.4
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    • pp.841-858
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    • 1996
  • Epidermal growth factor(EGF) is one of polypeptide growth factors. EGF has been reported as a biological mediator which regulates activities of wound healing process including the cell proliferation, migration and metabolism. The purposes of this study is to evaluate the effects of EGF on the human periodontal ligament cells and human gingival fibroblast cells that promote regeneration of periodntal tissue. The mitogenic effects of epidermal growth factor on human periodontal ligament cells and human gingival fibroblasts were evaluated by determining the incorporation of 5-Bromo-2'-deoxy-uridine into DNA of the cells in a dose dependent manner. The prepared cells were the primary cultured gingival fibroblast and periodontal ligament cells from humans, the fourth or sixth subpassages were used in the experiments. Cells were seeded in DMEM containing 10% FBS. 1, 10, 50, 100, $200{\eta}g/ml$ and epidermal growth factor were added to the quiescent cells for 24 hours, 48 hours and 72 hours. They were labeled with $10\{mu}l/200{\mu}l$ 5-Bromo-2'-deoxy-uridine for the last 6 hours of each culture. The results of the five determinants were presented as mean and S.D.. The results were as follows : The DNA synthetic activity of human gingival fibroblasts were increased dose dependently by epidermal growth factor at 24 hours, 48 hours and 72 hours. The mitogenic effects were similar at the 24 and 48 hours of epidermal growth factor, but the DNA synthetic activity of human gingival fibroblasts generally decreased at 72 hours. The DNA synthetic activity of human periodontal ligament cells were increased dose dependently by epidermal growth factor at 24 hours but the DNA synthetic activity decreased at $200{\eta}g/ml$ of each hour. Generally the maximum mitogenic effects were observed at the 48 hours application of epidermal growth factor. The DNA synthetic activity of human periodontal ligament cells generally decreased lower at 24, 72 hours than at 48 hours the application of epidermal growth factor. In the comparison of DNA synthetic activity between human gingival fibroblasts and human periodontal ligament cells, human periodontal ligament cells had slightly higher proliferation activity than human gingival fibroblasts for a longer time at the high dosage of the epidermal growth factor. In conclusion, epidermal growth factor have important roles in the stimulation of DNA synthesis in human periodontal ligament cells and human gingival fibroblasts, and thus may be useful for clinical applications in periodontal regenerative procedures.

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The Effect of the Basic Fibroblast Growth Factor on Proliferation Rate of the Human Periodontal Ligament Cells and Human Gingival Fibroblasts (치주인대세포 및 치은섬유아세포의 DNA 합성능에 대한 b-Fibroblast growth factor의 영향)

  • Cho, Young-Joon;Lee, Jae-Mok;Suh, Jo-Young
    • Journal of Periodontal and Implant Science
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    • v.26 no.2
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    • pp.414-428
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    • 1996
  • The use of basic fibroblast growth factor which function as potent biologic mediators regulating numerous activities of wound healing has been suggested for the promotion of periodontal regeneration. The mitogenic effects of basic fibroblast growth factor on human periodontal ligament cells and human gingival fibroblasts were evaluated by determining the incorporation of 5-Bromo-2'deoxy-uridine into DNA of the cells in a dose -dependent manner. The cells which were prepared were the primary cultured gingival fibroblasts and periodontal ligament cells from human the fourth or sixth subpassages were used in the experiments. The cells which were seeded DMEM contain 10% FBS. The added concentrations of basic fibroblast growth factor were 0.1, 1, 10, 50, $l00{\eta}g/ml$ and basic fibroblast growth factor were added to the quiescent cells for 24 hours, 48 hours and 72 hours. They were labeled with $10{\mu}l/200{\mu}l$ 5Bromo-2'-deoxy-uridine for the last 6 hours of each culture. The results of the five determinants were presented as mean and S.D.. The results were as follows. : The DNA synthetic activity of human gingival fibroblasts was increased dose dependently by basic fibroblast growth factor at 24 hours, 48 hours and 72 hours. The similar mitogenic effects were at the 24 and 48 hours of basic fibroblast growth factor, but the DNA synthetic activity of human gingival fibroblasts generally decreased at 72 hours. The DNA synthetic activity of human periodontal ligament cells was increased dose dependently to $50{\eta}g/ml$ by basic fibroblast growth factor at 24, 48 and 72 hours, but the DNA synthetic activity decreased at $l00{\eta}g/ml$ of each hour. Generally the maximum mitogenic effects were at the 48 hours application of basic fibroblast growth factor. The DNA synthetic activity of human periodontal ligament cells generally decreased lower at 72 hours than at 24, 48 hours the application of basic fibroblast growth factor. In the comparison of DNA synthetic activity between human gingival fibroblasts and human periodontal ligament cells, human periodontal ligament cells had slightly higher proliferation activity than human gingival fibroblasts for a longer time at the high dosage of the basic fibroblast growth factor.In conclusion, basic fibroblast growth factor have important roles in the stimulation of DNA synthesis in human periodontal ligament cells and human gingival fibroblasts, and thus may be useful for clinical applications in periodontal regenerative procedures.

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Synthetic Training Data Generation for Fault Detection Based on Deep Learning (딥러닝 기반 탄성파 단층 해석을 위한 합성 학습 자료 생성)

  • Choi, Woochang;Pyun, Sukjoon
    • Geophysics and Geophysical Exploration
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    • v.24 no.3
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    • pp.89-97
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    • 2021
  • Fault detection in seismic data is well suited to the application of machine learning algorithms. Accordingly, various machine learning techniques are being developed. In recent studies, machine learning models, which utilize synthetic data, are the particular focus when training with deep learning. The use of synthetic training data has many advantages; Securing massive data for training becomes easy and generating exact fault labels is possible with the help of synthetic training data. To interpret real data with the model trained by synthetic data, the synthetic data used for training should be geologically realistic. In this study, we introduce a method to generate realistic synthetic seismic data. Initially, reflectivity models are generated to include realistic fault structures, and then, a one-way wave equation is applied to efficiently generate seismic stack sections. Next, a migration algorithm is used to remove diffraction artifacts and random noise is added to mimic actual field data. A convolutional neural network model based on the U-Net structure is used to verify the generated synthetic data set. From the results of the experiment, we confirm that realistic synthetic data effectively creates a deep learning model that can be applied to field data.

Investigation of SAR Systems, Technologies and Application Fields by a Statistical Analysis of SAR-related Journal Papers (SAR 관련 논문 통계 분석에 의한 SAR 시스템, 기술, 활용분야 고찰)

  • Lee Hoon-Yol
    • Korean Journal of Remote Sensing
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    • v.22 no.2
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    • pp.153-174
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    • 2006
  • The purpose of this paper is to establish the category of SAR(Synthetic Aperture Radar) systems, technologies and application fields, thus to provide the world-wide trend in SAR research and development activities by analysing SAR-related journal papers. This paper presents an analysis result of SAR-related journal papers published from the late 1960s to early 2005. Abstracts and indices of 2665 peer-reviewed, English journal papers published in 243 journals were collected from the Cambridge Scientific Abstracts and classified into the categories according to the system, technique, and application field. Statistics on each category were provided so that one can understand the historical and on-going development in SAR systems, techniques, and a variety of application fields such as land, ocean, cryosphere and atmosphere. This statistical analysis data would be a valuable guideline to establish a future SAR system application and satellite manoeuvering policy in Korea.

Hydrological Studies on the Comparison and the Derivation of Unit Hydrography in the small River Systems. (소하천수계의 단위유량도 유도 및 비교에 관한 수문학적 고찰)

  • 이순혁
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.20 no.3
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    • pp.4739-4749
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    • 1978
  • This studies were conducted to derive synthetic unitgraphs and triangular unitgraphs correlated with watershed characteristics which can be used to the estimation and control of flood for the rational development of Agricultural water resources. Derived Synthetic unitgraphs and Triangular unitgraphs can be applied to the ungaged watersheds were compared with average unitgraphs by observed data. Seven small watersheds were selected as studying basins Han, Geum, Nakdong, Yeongsan and Inchon river system. The results summarized for these studies are as follows: 1. Average unitgraphs by observed data and dimensionless unitgraphs for synthesis were derived for all river systems. 2. Peak discharge per unit area of the unitgraph, qp, was derived as qp=10-0.389-0.0424Lg with a high significance. 3. Formulas for the base width of unitgraph of 50 and 75 percent for peak flow for each water systems was adopted as Table 5. 4. The base length of the unitgraph, Tb, in hours in connection with time to peak, Tp, in hours was expressed as Tb =4.3Tp. 5. Peak discharge, Qp, were obtained as Table 6 by the Triangular form to all subwatersheds. 6. Relative errors in the peak discharge of the synthetic unitgraphs showed to be 7.3 percent to the peak of observed average unitgraphs except errors of peak discharge for Yeongsan river system. This indicates that Synthetic unitgraphs for the small watersheds of Han, Geum, Nakdong and Inchon river systems can be applied to the ungaged watersheds. On the other hand, It was confirmed that the accuracy of Instantaneous Unit Hydrograph with only 1.6 percent as relative errors was approaching more closely to the observed average unitgraph than that of synthetic unitgraph with relative errors. 23.9 percent for Yeongsan river system. 7. Errors in the peak discharge of the triangular unitgraph to the observed average unitgraph showed to be 0.6 percent to 7.5 percent which can be regarded as a high precision within the range of 200 to 500$\textrm{km}^2$ in area. On the contrary, application of triangular unitgraph within the range of 200$\textrm{km}^2$ in area has defined as a unsuitable method because of high relative errors, 26.4 percent to 61.6 percent.

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Application of FTIR on the study of Natural, Synthetic and Irradiated Diamonds (FTIR을 이용한 천연, 합성, 방사선 처리된 다이아몬드의 분광학적 특성 연구)

  • Kim, Jong-Rang;Shon, Shoo-Hack;Kim, Su-Hun;Lim, Ye-Won;Kim, Jong-Gun;Kim, Jeong-Jin;Jang, Yun-Deuk
    • Journal of the Mineralogical Society of Korea
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    • v.20 no.3
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    • pp.175-180
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    • 2007
  • FTIR technique was applied to delineate spectroscopic characteristics of natural, synthetic and irradiated diamonds. All of the samples studied in this work show the absorption peaks, which are generally observed in diamond as well as the specific one related to N in diamonds. Synthetic diamond is characterized with both the peaks of 1344 and $1128 cm^{-1}$ related to HPHT synthesis and specific $1050 cm^{-1}$ peak only observed in synthetic diamond, which can be used to discriminate natural from synthetic. Type (natural blue diamond: IIb, electron beam Irradiated blue diamond: Type Ia) can be used to discriminate natural from irradiated diamond. The intensity of specific $1450 cm^{-1}$ peak observed only in irradiated diamond is related with irradiation and annealing process.

THE EFFECT OF TRANSFORMING GROWTH $FACTOR-B_1$ ON THE PROLIFERATION RATE OF HUMAN PERIODONTAL LIGAMENT CELLS AND HUMAN GINGIVAL FIBROBLASTS. (변형성장인자-${\beta}_1$이 치주인대세포와 치은섬유아세포의 증식에 미치는 영향)

  • Cho, Eun-Kyeung;Lee, Jae-Mok;Suh, Jo-Young
    • Journal of Periodontal and Implant Science
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    • v.25 no.3
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    • pp.720-732
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    • 1995
  • The use of transforming growth $factor-{\beta}1$ which functions as a potent biologic mediator regulating numerous activities of wound healing has been suggested for the promotion of periodontal regeneration. The mitogenic effects of transforming growth $factor-{\beta}1$ on human periodontal ligament cells and human gingival fibroblasts were evaluated by determining the incorporation of $[^3H]-thymidine$ into DNA of the cells dose-dependently. Cells were prepared with primary cultured fibroblasts and periodontal ligament cells from humans, and used in experiments were the fourth or sixth subpassage. Cells were seeded with serum free Dulbecco's modified Eagle medium containing 0.1% bovine serum albumine. The added concentrations of transforming growth $factor-{\beta}1$ were 0.25, 0.5, 1, 2.5, 5ng/ml and transforming growth $factor-{\beta}1$ were added to the quiescent cells for 24hours, 48hours, 72hours. They were labeled with lnCi/ml $[^3H]$ thymidine for the last 24hour of the each culture. The results were presented as the mean counts per minute (CPM) per well and S.D. of four determinations. The results were as follows. : The DNA synthetic activity of human gingival fibroblasts was increased dose-dependently by transforming growth $factor-{\beta}1$ at 24 hours, 48 hours and 72 hours. The maximum mitogenic effects were at the 48 hour application of transforming growth $factor-{\beta}1$. The DNA synthetic activity was generally more decreased at the 72 hour application than at the 48 hour the application of transforming growth $factor-{\beta}1$. The DNA synthetic activity of human periodontal ligament cells was increased dose-dependently by transforming growth $factor-{\beta}1$ at 24 hours and 48 hours. But the DNA synthetic activity was decreased at 5ng/ml of the 72 hour application. The maximum mitogenic effects were also at the 48 hour application of transforming growth $factor-{\beta}1$. The DNA synthetic activity of human periodontal ligament cells was generally more decreased at the 72 hour application than at the 48 hour application of transforming growth $factor-{\beta}1$. In the comparision of DNA synthetic activity between the human gingival fibroblasts and human periodontal ligament cells, the human gingival fibroblasts had more activity than the human periodontal ligament cells at all time application with the concentration of transforming growth $factor-{\beta}1$. In conclusion, transforming growth $factor-{\beta}1$ has an important roles in the stimulation of DNA synthesis in human periodontal ligament cells and human gingival fibroblasts, which means an increase in collagen synthesizing cells and thus, may be useful for clinical application in periodontal regenerative procedures.

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