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Multiple Inputs Deep Neural Networks for Bone Age Estimation Using Whole-Body Bone Scintigraphy
Phap Do Cong Nguyen,백으뜸,양형정,김수형,강세령,민정준 한국멀티미디어학회 2019 멀티미디어학회논문지 Vol.22 No.12
The cosmetic and behavioral aspects of aging have become increasingly evident over the years. Physical aging in people can easily be observed on their face, posture, voice, and gait. In contrast, bone aging only becomes apparent once significant bone degeneration manifests through degenerative bone diseases. Therefore, a more accurate and timely assessment of bone aging is needed so that the determinants and its mechanisms can be more effectively identified and ultimately optimized. This study proposed a deep learning approach to assess the bone age of an adult using whole-body bone scintigraphy. The proposed approach uses multiple inputs deep neural network architectures using a loss function, called mean-variance loss. The data set was collected from Chonnam National University Hwasun Hospital. The experiment results show the effectiveness of the proposed method with a mean absolute error of 3.40 years.
Electrically Active Defects in Organic Semiconductors
Thien-Phap Nguyen,Cedric Renaud,Chun-Hao Huang 한국물리학회 2008 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.52 No.5
Organic semiconductors have become a target for new potential applications in electronic eld such as light-emitting diodes, photovoltaic cells and feld-effect transistors. The presence of defects in organic materials greatly affects their electronic properties and, hence, the performances of the devices using them as an active component. We present and discuss the determination of electrically active defects in organic materials, which is illustrated by a concrete example using the data obtained from organic light-emitting devices having a polyacethylene derivative as an emitter. Organic semiconductors have become a target for new potential applications in electronic eld such as light-emitting diodes, photovoltaic cells and feld-effect transistors. The presence of defects in organic materials greatly affects their electronic properties and, hence, the performances of the devices using them as an active component. We present and discuss the determination of electrically active defects in organic materials, which is illustrated by a concrete example using the data obtained from organic light-emitting devices having a polyacethylene derivative as an emitter.
Van Phap Nguyen,조진성,이지훈,김민하,최영임,박응준,김원찬,황성빈,Kyung-Hwan Han,고재흥 한국식물학회 2017 Journal of Plant Biology Vol.60 No.2
Unlike xylem, which is primarily composed of dead cells in vascular bundles, phloem has living cells. It transports organic nutrients and long-distance communication signals to all parts of plants. In this report, we describe a promoter from Populus trichocarpa that drives strong gene expression in a phloem tissue-specific manner. First, we identified five candidate genes with strong expression in the developing phloem (DP) tissue from whole-transcriptome gene chip analyses of different tissue types of poplar. The putative promoter sequences of them were isolated and tested for their promoter activity in transgenic Arabidopsis plants. Among them, a promoter of the Potri.001G340200.1 gene (called the PtrDP3 promoter) was identified that has the strongest activity in phloem tissue. PtrDP3 promoter activity was found exclusively in phloem cells of the stem and root tissues of transgenic Arabidopsis plants, which was reproduced in the transgenic poplar plants. The phloemspecific activity of the PtrDP3 promoter was detected as early as in three-day-old seedlings and was not affected by abiotic stresses or exogenously applied plant hormones in transgenic Arabidopsis plants. Promoter deletion analysis identified a 100-bp regulatory region of the PtrDP3 promoter, which is necessary to drive phloem specific expression. This study provides evidence of a strong phloem-specific promoter that is suitable for phloem-specific biotechnological modifications in plants.
Dinh Phap Tran,Daiki Morita,Noritaka Sato,Yoshifumi Morita,Makoto Takekawa 제어로봇시스템학회 2016 제어로봇시스템학회 국제학술대회 논문집 Vol.2016 No.10
When measuring the range of motion (ROM) of finger joints, a therapist usually uses a goniometer, which is a measuring instrument for angles. However, a measurement with a goniometer takes much time, because there are many joints in a hand. To solve this problem, we aim to develop a non-invasive automatic test device in order to reduce the burden on patients and therapists when measuring the ROM of finger joints. In our previous work, we developed a semi-automatic test device for reducing the burden on the patient. In this study, we aim to reduce the burden on the therapist by improving the conventional goniometer device. The improvement points include an increase in the visibility of target joints, an increase of operability of the virtual goniometer, and a reduction of the startup program execution time. We compared the required time to measure the angle of a PIP joint of the conventional goniometer device and the proposed goniometer device. As a result, the required time was reduced, which means a reduction in the burden on the therapist. Moreover, we evaluated the measurement accuracy by testing the proposed goniometer device and comparing the results with a conventional goniometer. The obtained result shows that the measurement accuracy of the proposed goniometer device was less than 6.6°.
Luong Quang-Phap,Nam Jong-Ho 한국CDE학회 2021 Journal of computational design and engineering Vol.8 No.4
The ship hull form is directly related to each design phase of a ship. This form is thus frequently designed based on a variation of a well-made parent ship to avoid new design risks. However, in hull form variation, satisfactory geometric preservation and good performance continuity of the parent ship are considered competing requirements. To effectively facilitate the variation, an appropriate compromise between these requirements should be achieved. Instead of altering hull form parameters, we propose a flexible and intuitive approach to interactively vary the hull surfaces with arbitrary curve constraints and to focus on preserving the properties of the original hull surface. The advantage of the superposition of the curve or surface is leveraged to modify the hull shape. An intermediate surface that satisfies an intermediate curve constraint and has a smooth shape is constructed and superimposed on the top of the original surface to yield the desired surface. A shape control mechanism using a shape function simplifies the control of the surface modification with a curve constraint. The developed method was applied to modify the characteristic curves and section curves situated on the stern part of a container vessel. The changes in the geometric shape and hydrodynamic performance due to the curve-constraint variation were assessed to demonstrate the practicality and efficiency of the proposed method. The results show that the proposed method produces a smooth shape and almost unchanging hydrodynamic patterns. The proposed variation provides an effective tool for varying the hull in a linear fashion.
Study on Novel Topology of Solar–Wind Hybrid Power Plant Using Photovoltaic Cell Emulating System
Vu Minh Phap,N. Yamamura,M. Ishida,Nguyen Thuy Nga,I. Mizoguchi,T. Yamashita 대한전기학회 2019 Journal of Electrical Engineering & Technology Vol.14 No.2
At the present, the grid-tied solar power system is the most promising as a renewable energy technology for replacing the fossil energy sources. The usage effi ciency of the power conditioner system in the grid-tied solar power system is not high because the electricity generation from solar panels depends on the weather. The utilization rate of the power conditioner system can be increased by adding the small scale wind turbine to the existing grid-tied solar power system. We introduced a novel design solution in the previous study to connect the small wind turbine with the power conditioner system of the grid-tied solar power system by emulating technical characteristics of the solar panel in series connection mode. By which, the utilization rate of the power conditioner system has been increased. However, this improved utilization rate of the power conditioner system is not high in the cloudy and rainy days because the voltage of the solar panel changes slightly and the maximum input voltage of the power conditioner system is limited. Therefore, we propose a novel performance enhancement method for solar–wind hybrid power plant using photovoltaic cell emulating system in this research.
Luong Quang-Phap,Nam Jong-Ho,Le Tat-Hien 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.5
Conceptual shape design plays a critical role in determining the appearance and functionality of a product. Currently, computer-aided design systems can represent a complex shape through multiple surface patches; however, the methods used for multi-patch surface modification are still limited and counterintuitive. There is an ongoing need for more intuitive and efficient surface modification tools that allow designers to directly control shape changes through specific constraints while maintaining surface quality. In this paper, we propose an intuitive modification approach based on the designer’s activity to interactively manipulate a multi-patch surface with an arbitrary curve constraint with tangent continuity (G1) across connected B-spline patches. The advantages of the curve and surface superposition were used to change the shape of the surface. The first step was a shape-control mechanism that used shape functions to control the deformation of a superposed surface. A fine-tuning step was followed to ensure the aesthetic requirements and quality of the surface by achieving convergent G1 continuity in a linear manner. The efficiency and practicality of the proposed approach have been verified using application examples. The proposed approach can be applied to modify surfaces used in the design of a complex geometric model.
Building a mathematics model for lane-change technology of autonomous vehicles
Pham Anh Phuong,Huynh Cong Phap,Quach Hai Tho 한국전자통신연구원 2022 ETRI Journal Vol.44 No.4
In the process of autonomous vehicle motion planning and to create comfort for vehicle occupants, factors that must be considered are the vehicle’s safety features and the road’s slipperiness and smoothness. In this paper, we build a mathematical model based on the combination of a genetic algorithm and a neural network to offer lane-change solutions of autonomous vehicles, focusing on human vehicle control skills. Traditional moving planning methods often use vehicle kinematic and dynamic constraints when creating lane-change trajectories for autonomous vehicles. When comparing this generated trajectory with a man-generated moving trajectory, however, there is in fact a significant difference. Therefore, to draw the optimal factors from the actual driver’s lanechange operations, the solution in this paper builds the training data set for the moving planning process with lane change operation by humans with optimal elements. The simulation results are performed in a MATLAB simulation environment to demonstrate that the proposed solution operates effectively with optimal points such as operator maneuvers and improved comfort for passengers as well as creating a smooth and slippery lane-change trajectory.