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- 저자 : Zeyang Wang (검색결과 4 건)
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Zeyang Wang,Jun Huang,Mingxu Yi 한국항공우주학회 2022 International Journal of Aeronautical and Space Sc Vol.23 No.5
A noise prediction method based on CFD method and Ffowcs Williams–Hawkings (FW–H) equation is adopted to the prediction of the two-blade coaxial rotor, studying the noise characteristics of coaxial rotor, including the value and the distribution of SPL. According to the directionality of the SPL distribution, a Compass–Scissors Model (CSM) of coaxial rotor is established for the description of the orientation of noise distribution and the phase of sound wave. A combined coaxial rotor called twin-coaxial rotor consisting of two coaxial rotors is put forward according to the noise distribution characteristics of coaxial rotor, and the phase modulation method is applied so that the noise produced by the lower coaxial rotor and the upper coaxial rotor can be suppressed by the proper superposition of the sound waves. The simulation results show that producing the same lift, the noise cancellation using phase modulation method can reach 16 dB, confirming the potential of the noise reduction, and the optimal relationship of the compass angle difference and the scissors angle difference are also obtained. The establishment of CSM and the twin-coaxial rotor can also be meaningful for the noise suppression based on phase modulation method of multiple coaxial rotor systems.
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Yang Zhang,Zeyang Wang,Ting Liu,Bo Yang,Shu Hu,Heng Li,ChuanXiang Sheng 대한금속·재료학회 2022 ELECTRONIC MATERIALS LETTERS Vol.18 No.3
On hot substrates with a temperature of 100 °C, the qualities of two-dimensional perovskite PEA2MA2Pb3I10(PEA = phenethylammonium,MA = methylammonium) films have been explored which are constructed with different spin-casting speeds. These films are performed at the speed of 1000, 2000, 4000, and 6000 revolution per minute (RPM). Below 4000 r, a higherRPM results in higher crystalline quality with more uniform morphology. Correspondingly, 4000 r devices show better performanceon average (4.3% power conversion efficiency) and less hysteresis in the J-V curve than 1000 r (3.6%) and 2000 rdevices (3.4%). However, for devices that were fabricated at 6000 r, inferior performance (2.8% on average) may not bepredicted simply by the morphology characterization or optical measurement results at room temperature; instead, carriertrapping states can occur that result in thermally activated PL below 200 K with an activation energy of 18 meV, which donot occur in the 1000 r, 2000 r, and 4000 r films. Our results suggest that for evaluating 2D perovskite films prior to fabricatingoptimal devices, multiple morphology characterizations and optical measurements, including of low-temperature PL,will be helpful.
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Yang Jiejin,Chen Zeyang,Liu Weipeng,Wang Xiangpeng,Ma Shuai,Jin Feifei,Wang Xiaoying 대한영상의학회 2021 Korean Journal of Radiology Vol.22 No.3
Objective: The mitotic count of gastrointestinal stromal tumors (GIST) is closely associated with the risk of planting and metastasis. The purpose of this study was to develop a predictive model for the mitotic index of local primary GIST, based on deep learning algorithm. Materials and Methods: Abdominal contrast-enhanced CT images of 148 pathologically confirmed GIST cases were retrospectively collected for the development of a deep learning classification algorithm. The areas of GIST masses on the CT images were retrospectively labelled by an experienced radiologist. The postoperative pathological mitotic count was considered as the gold standard (high mitotic count, > 5/50 high-power fields [HPFs]; low mitotic count, ≤ 5/50 HPFs). A binary classification model was trained on the basis of the VGG16 convolutional neural network, using the CT images with the training set (n = 108), validation set (n = 20), and the test set (n = 20). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated at both, the image level and the patient level. The receiver operating characteristic curves were generated on the basis of the model prediction results and the area under curves (AUCs) were calculated. The risk categories of the tumors were predicted according to the Armed Forces Institute of Pathology criteria. Results: At the image level, the classification prediction results of the mitotic counts in the test cohort were as follows: sensitivity 85.7% (95% confidence interval [CI]: 0.834–0.877), specificity 67.5% (95% CI: 0.636–0.712), PPV 82.1% (95% CI: 0.797–0.843), NPV 73.0% (95% CI: 0.691–0.766), and AUC 0.771 (95% CI: 0.750–0.791). At the patient level, the classification prediction results in the test cohort were as follows: sensitivity 90.0% (95% CI: 0.541–0.995), specificity 70.0% (95% CI: 0.354–0.919), PPV 75.0% (95% CI: 0.428–0.933), NPV 87.5% (95% CI: 0.467–0.993), and AUC 0.800 (95% CI: 0.563–0.943). Conclusion: We developed and preliminarily verified the GIST mitotic count binary prediction model, based on the VGG convolutional neural network. The model displayed a good predictive performance.
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Yu Minghao,Lv Bo,Qiu Zeyang,Wang Zhe 한국물리학회 2022 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.80 No.3
In this study, a two-dimensional model of a medium-power inductively coupled plasma (ICP) torch was established to investigate the effects of different geometric parameters on the plasma properties, such as the temperature, velocity and electromagnetic field by performing multi-physical field-coupling simulations. The effects of the coil position, number of coil turns, input power and inductive current frequency on the plasma properties were studied and discussed in detail for a medium-power ICP torch. The results show that the coil position can affect the plasma uniformity, i.e., with increasing distance between the coil and the middle quartz tube, the plasma uniformity increases. When the number of coil turns is small, the electromagnetic field intensity is strong. In addition, when the input power and the current frequency are enhanced, the plasma temperature and volume both increase. Due to the effect of E–H mode conversion hysteresis, as the input power is increased, the temperature changes little, but the electromagnetic field intensity and the plasma velocity increase significantly.
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