We present first-principles calculations of the formation energy of different native defects and their complexes in wurtzite InN using density-functional theory and the pseudopotential plane-wave method. Our calculati...We present first-principles calculations of the formation energy of different native defects and their complexes in wurtzite InN using density-functional theory and the pseudopotential plane-wave method. Our calculations are aimed in the three cases： N/In = 1, N/In 〉 1 （N-rich）, and N/In 〈 1 （In-rich）. Our results indicate that the antisite defect has the lowest formation energy under N/In = 1. The formation energy of nitrogen interstitial （nitrogen vacancy） defect is significantly low under the N-rich （In-rich） condition. Thus the antisite defect is an important defect if N/In = 1, and the nitrogen interstitial （nitrogen vacancy） defect is a vital defect under the N-rich （In-rich） condition. The atomic site relaxation around the nitrogen interstitial and vacancy is investigated. Our calculations show that the nitrogen vacancy cannot be observed although it is one of the most important defects in InN. Our results are confirmed by experiments.展开更多
Although machine Learning has demonstrated exceptional applicability in thermographic inspection,precise defect reconstruction is still challenging,especially for complex defect profiles with limited defect sample div...Although machine Learning has demonstrated exceptional applicability in thermographic inspection,precise defect reconstruction is still challenging,especially for complex defect profiles with limited defect sample diversity.Thus,this paper proposes a self-enhancement defect reconstruction technique based on cycle-consistent generative adversarial network(Cycle-GAN)that accurately characterises complex defect profiles and generates reliable artificial thermal images for dataset augmentation,enhancing defect characterisation.By using a synthetic dataset from simulation and experiments,the network overcomes the limited samples problem by learning the diversity of complex defects from finite element modelling and obtaining the thermography uncertainty patterns from practical experiments.Then,an iterative strategy with a self-enhancement capability optimises the characterisation accuracy and data generation performance.The designed loss function structure with cycle consistency and identity loss constrains the GAN’s transfer variation to guarantee augmented data quality and defect reconstruction accuracy simultaneously,while the self-enhancement results significantly improve accuracy in thermal images and defect profile reconstruction.The experimental results demonstrate the feasibility of the proposed method by attaining high accuracy with optimal loss norm for defect profile reconstruction with a Recall score over 0.92.The scalability investigation of different materials and defect types is also discussed,highlighting its capability for diverse thermography quantification and automated inspection scenarios.展开更多
Complicated and large acetabular bone defects present the main challenges and difficulty in the revision of total hip arthroplasty(THA).This study aimed to explore the advantages of three-dimensional(3D)printing techn...Complicated and large acetabular bone defects present the main challenges and difficulty in the revision of total hip arthroplasty(THA).This study aimed to explore the advantages of three-dimensional(3D)printing technology in the reconstruction of such acetabular bone defects.We retrospectively analyzed the prognosis of four severe bone defects around the acetabulum in three patients who were treated using 3D printing technology.Reconstruction of bone defect by conventional methods was difficult in these patients.In this endeavor,we used radiographic methods,related computer software such as Materialise's interactive medical image control system and Siemens NX software,and actual surgical experience to estimate defect volume,prosthesis stability,and installation accuracy,respectively.Moreover,a Harris hip score was obtained to evaluate limb function.It was found that bone defects could be adequately reconstructed using a 3D printing prosthesis,and its stability was reliable.The Harris hip score indicated a very good functional recovery in all three patients.In conclusion,3D printing technology had a good therapeutic effect on both complex and large bone defects in the revision of THA.It was able to achieve good curative effects in patients with large bone defects.展开更多
To extract features of fabric defects effectively and reduce dimension of feature space,a feature extraction method of fabric defects based on complex contourlet transform （CCT） and principal component analysis （PC...To extract features of fabric defects effectively and reduce dimension of feature space,a feature extraction method of fabric defects based on complex contourlet transform （CCT） and principal component analysis （PCA） is proposed.Firstly,training samples of fabric defect images are decomposed by CCT.Secondly,PCA is applied in the obtained low-frequency component and part of highfrequency components to get a lower dimensional feature space.Finally,components of testing samples obtained by CCT are projected onto the feature space where different types of fabric defects are distinguished by the minimum Euclidean distance method.A large number of experimental results show that,compared with PCA,the method combining wavdet low-frequency component with PCA （WLPCA）,the method combining contourlet transform with PCA （CPCA）,and the method combining wavelet low-frequency and highfrequency components with PCA （WPCA）,the proposed method can extract features of common fabric defect types effectively.The recognition rate is greatly improved while the dimension is reduced.展开更多
We report the effect of boron (nitrogen)-divacancy complex defects on the electronic properties of graphene nanoribbon by means of density functional theory. It is found that the defective subbands appear in the condu...We report the effect of boron (nitrogen)-divacancy complex defects on the electronic properties of graphene nanoribbon by means of density functional theory. It is found that the defective subbands appear in the conduction band and valence band in accordance with boron (nitrogen)-divacancy defect, respectively;the impurity subbands don’t lead to the transition from the metallic characteristic to a semiconducting one. These complex defects affect the electronic band structures around the Fermi level of the graphene nanoribbon;the charge densities of these configurations have also changed distinctly. It is hoped that the theoretical results are helpful in designing the electronic device.展开更多
In this paper, the X-ray nondestructive test method of small defects in precision weldments with complex structure was presented. To resolve the difficulty of defect segmentation in variable grey image, the image proc...In this paper, the X-ray nondestructive test method of small defects in precision weldments with complex structure was presented. To resolve the difficulty of defect segmentation in variable grey image, the image processing based on Visual Basic programming method was adopted. The methods of automatic contrast and partial grey stretch were used to enhance the X-ray detection image which has relatively low contrast, then automatic threshold method was carried out to segment the two high intensity zones, and weld zones which contain the small defects was extracted. Smoothing and sharpen processing were proceeded on the extracted weld zones, and small defects in X-ray detection image of weldments with complex structure were segmented by using the method of background subtraction in the end. The effects of raster were eliminated, and because of that the image processing was only proceeded on the extracted weld zones, the calculated speed using the above provided algorithm was improved.展开更多
Room-temperature ferromagnetism has been experimentally observed in annealed rutile TiO2 single crystals when a magnetic field is applied parallel to the sample plane.By combining X-ray absorption near the edge struct...Room-temperature ferromagnetism has been experimentally observed in annealed rutile TiO2 single crystals when a magnetic field is applied parallel to the sample plane.By combining X-ray absorption near the edge structure spectrum and positron annihilation lifetime spectroscopy,Ti^3＋-V O defect complexes（or clusters） have been identified in annealed crystals at a high vacuum.We elucidate that the unpaired 3d electrons in Ti^3＋ ions provide the observed room-temperature ferromagnetism.In addition,excess oxygen ions in the TiO2 lattice could induce a number of Ti vacancies which obviously increase magnetic moments.展开更多
在电力巡检过程中,无人机等边端智能检测设备往往面临输电线路绝缘子缺陷目标小、背景因素复杂等难点,且边端设备的硬件条件限制了模型的规模,导致设备算力有限,模型准确率偏低。针对上述问题,该文提出了一种基于YOLOv8-RFL(You only lo...在电力巡检过程中,无人机等边端智能检测设备往往面临输电线路绝缘子缺陷目标小、背景因素复杂等难点,且边端设备的硬件条件限制了模型的规模,导致设备算力有限,模型准确率偏低。针对上述问题,该文提出了一种基于YOLOv8-RFL(You only look once version 8-RFL)模型的输电线路绝缘子缺陷检测方法。首先,通过对原有主干网络C2f(CSPDarknet53 to 2-Stage FPN)模块进行改进,增强模型对于绝缘子缺陷的特征提取能力;其次,构建基于特征聚焦的泛化特征金字塔网络(focusing generalized feature pyramid networks,FGFPN),采用“特征聚焦-扩散”的思想,精细化小缺陷目标的特征表达;然后,设计基于交叉注意机制的特征语义融合模块(feature semantic fusion module,FSFM),优化了对关键特征信息的捕获和利用;最后,提出轻量化权重共享检测头(Lightweight weight sharing detection head,LWSD),在保证检测精度的同时提高模型的计算效率和实时性。实验表明,改进后的YOLOv8-RFL模型均值平均精度(mean average precision,mAP)达到了93.2%,相较于基准模型提升了5.9%,在降低模型参数量和所需计算量的同时,实现了更好的绝缘子小目标缺陷检测效果,对于复杂背景下的输电线路绝缘子缺陷检测具有一定的现实意义。展开更多
This paper investigates the infrared absorption spectra of oxygen-related complexes in silicon crystals irradiated with electron （1.5 MeV） at 360 K.Two groups of samples with low [Oi] = 6.9 x 10^17 cm^-3 and high [O...This paper investigates the infrared absorption spectra of oxygen-related complexes in silicon crystals irradiated with electron （1.5 MeV） at 360 K.Two groups of samples with low [Oi] = 6.9 x 10^17 cm^-3 and high [Oi] = 1.06 x 10^18 cm^-3 were used.We found that the concentration of the VO pairs have different behaviour to the annealing temperature in different concentration of oxygen specimen,it is hardly changed in the higher concentration of oxygen specimen.It was also found that the concentration of VO2 in lower concentration of oxygen specimen gets to maximum at 450 ℃ and then dissapears at 500 ℃,accompanied with the appearing of VO3. For both kinds of specimens,the concentration of VO3 reachs to maximum at 550 ℃ and does not disappear completely at 600 ℃.展开更多
基金Supported by the National Basic Research Program of China under Grant No. 2006CB921607the National Natural Science Foundation of China under Grant Nos. 60711120203, 60890193+1 种基金the Natural Science Foundation of Beijing City under Grant No. 1092007the Science and Technology Research Foundation for Colleges and Universities of Inner Mongolia Autonomous Region under Grant No. NJ09026
文摘We present first-principles calculations of the formation energy of different native defects and their complexes in wurtzite InN using density-functional theory and the pseudopotential plane-wave method. Our calculations are aimed in the three cases： N/In = 1, N/In 〉 1 （N-rich）, and N/In 〈 1 （In-rich）. Our results indicate that the antisite defect has the lowest formation energy under N/In = 1. The formation energy of nitrogen interstitial （nitrogen vacancy） defect is significantly low under the N-rich （In-rich） condition. Thus the antisite defect is an important defect if N/In = 1, and the nitrogen interstitial （nitrogen vacancy） defect is a vital defect under the N-rich （In-rich） condition. The atomic site relaxation around the nitrogen interstitial and vacancy is investigated. Our calculations show that the nitrogen vacancy cannot be observed although it is one of the most important defects in InN. Our results are confirmed by experiments.
基金supported by the UK EPSRC Platform Grant:Through-life performance:From science to instrumentation(Grant No.EP/P027121/1).
文摘Although machine Learning has demonstrated exceptional applicability in thermographic inspection,precise defect reconstruction is still challenging,especially for complex defect profiles with limited defect sample diversity.Thus,this paper proposes a self-enhancement defect reconstruction technique based on cycle-consistent generative adversarial network(Cycle-GAN)that accurately characterises complex defect profiles and generates reliable artificial thermal images for dataset augmentation,enhancing defect characterisation.By using a synthetic dataset from simulation and experiments,the network overcomes the limited samples problem by learning the diversity of complex defects from finite element modelling and obtaining the thermography uncertainty patterns from practical experiments.Then,an iterative strategy with a self-enhancement capability optimises the characterisation accuracy and data generation performance.The designed loss function structure with cycle consistency and identity loss constrains the GAN’s transfer variation to guarantee augmented data quality and defect reconstruction accuracy simultaneously,while the self-enhancement results significantly improve accuracy in thermal images and defect profile reconstruction.The experimental results demonstrate the feasibility of the proposed method by attaining high accuracy with optimal loss norm for defect profile reconstruction with a Recall score over 0.92.The scalability investigation of different materials and defect types is also discussed,highlighting its capability for diverse thermography quantification and automated inspection scenarios.
基金This work is supported by National Key Research and Development Program of China(2016YFC1100600)the National Natural Science Foundation of China(81972058 and 81902194)the Multicenter Clinical Research Project of Shanghai Jiao Tong University School of Medicine(DLY201506).
文摘Complicated and large acetabular bone defects present the main challenges and difficulty in the revision of total hip arthroplasty(THA).This study aimed to explore the advantages of three-dimensional(3D)printing technology in the reconstruction of such acetabular bone defects.We retrospectively analyzed the prognosis of four severe bone defects around the acetabulum in three patients who were treated using 3D printing technology.Reconstruction of bone defect by conventional methods was difficult in these patients.In this endeavor,we used radiographic methods,related computer software such as Materialise's interactive medical image control system and Siemens NX software,and actual surgical experience to estimate defect volume,prosthesis stability,and installation accuracy,respectively.Moreover,a Harris hip score was obtained to evaluate limb function.It was found that bone defects could be adequately reconstructed using a 3D printing prosthesis,and its stability was reliable.The Harris hip score indicated a very good functional recovery in all three patients.In conclusion,3D printing technology had a good therapeutic effect on both complex and large bone defects in the revision of THA.It was able to achieve good curative effects in patients with large bone defects.
基金National Natural Science Foundation of China(No.60872065)the Key Laboratory of Textile Science&Technology,Ministry of Education,China(No.P1111)+1 种基金the Key Laboratory of Advanced Textile Materials and Manufacturing Technology,Ministry of Education,China(No.2010001)the Priority Academic Program Development of Jiangsu Higher Education Institution,China
文摘To extract features of fabric defects effectively and reduce dimension of feature space,a feature extraction method of fabric defects based on complex contourlet transform （CCT） and principal component analysis （PCA） is proposed.Firstly,training samples of fabric defect images are decomposed by CCT.Secondly,PCA is applied in the obtained low-frequency component and part of highfrequency components to get a lower dimensional feature space.Finally,components of testing samples obtained by CCT are projected onto the feature space where different types of fabric defects are distinguished by the minimum Euclidean distance method.A large number of experimental results show that,compared with PCA,the method combining wavdet low-frequency component with PCA （WLPCA）,the method combining contourlet transform with PCA （CPCA）,and the method combining wavelet low-frequency and highfrequency components with PCA （WPCA）,the proposed method can extract features of common fabric defect types effectively.The recognition rate is greatly improved while the dimension is reduced.
文摘We report the effect of boron (nitrogen)-divacancy complex defects on the electronic properties of graphene nanoribbon by means of density functional theory. It is found that the defective subbands appear in the conduction band and valence band in accordance with boron (nitrogen)-divacancy defect, respectively;the impurity subbands don’t lead to the transition from the metallic characteristic to a semiconducting one. These complex defects affect the electronic band structures around the Fermi level of the graphene nanoribbon;the charge densities of these configurations have also changed distinctly. It is hoped that the theoretical results are helpful in designing the electronic device.
文摘In this paper, the X-ray nondestructive test method of small defects in precision weldments with complex structure was presented. To resolve the difficulty of defect segmentation in variable grey image, the image processing based on Visual Basic programming method was adopted. The methods of automatic contrast and partial grey stretch were used to enhance the X-ray detection image which has relatively low contrast, then automatic threshold method was carried out to segment the two high intensity zones, and weld zones which contain the small defects was extracted. Smoothing and sharpen processing were proceeded on the extracted weld zones, and small defects in X-ray detection image of weldments with complex structure were segmented by using the method of background subtraction in the end. The effects of raster were eliminated, and because of that the image processing was only proceeded on the extracted weld zones, the calculated speed using the above provided algorithm was improved.
基金Project supported by the Young Scientists Fund of the National Natural Science Foundation of China (Grant No. 61006066)the National Natural Science Foundation of China (Grant No. 11175191)
文摘Room-temperature ferromagnetism has been experimentally observed in annealed rutile TiO2 single crystals when a magnetic field is applied parallel to the sample plane.By combining X-ray absorption near the edge structure spectrum and positron annihilation lifetime spectroscopy,Ti^3＋-V O defect complexes（or clusters） have been identified in annealed crystals at a high vacuum.We elucidate that the unpaired 3d electrons in Ti^3＋ ions provide the observed room-temperature ferromagnetism.In addition,excess oxygen ions in the TiO2 lattice could induce a number of Ti vacancies which obviously increase magnetic moments.
文摘在电力巡检过程中,无人机等边端智能检测设备往往面临输电线路绝缘子缺陷目标小、背景因素复杂等难点,且边端设备的硬件条件限制了模型的规模,导致设备算力有限,模型准确率偏低。针对上述问题,该文提出了一种基于YOLOv8-RFL(You only look once version 8-RFL)模型的输电线路绝缘子缺陷检测方法。首先,通过对原有主干网络C2f(CSPDarknet53 to 2-Stage FPN)模块进行改进,增强模型对于绝缘子缺陷的特征提取能力;其次,构建基于特征聚焦的泛化特征金字塔网络(focusing generalized feature pyramid networks,FGFPN),采用“特征聚焦-扩散”的思想,精细化小缺陷目标的特征表达;然后,设计基于交叉注意机制的特征语义融合模块(feature semantic fusion module,FSFM),优化了对关键特征信息的捕获和利用;最后,提出轻量化权重共享检测头(Lightweight weight sharing detection head,LWSD),在保证检测精度的同时提高模型的计算效率和实时性。实验表明,改进后的YOLOv8-RFL模型均值平均精度(mean average precision,mAP)达到了93.2%,相较于基准模型提升了5.9%,在降低模型参数量和所需计算量的同时,实现了更好的绝缘子小目标缺陷检测效果,对于复杂背景下的输电线路绝缘子缺陷检测具有一定的现实意义。
基金Project supported by the National Natural Science Foundation of China (Grant No 50872028)Natural Science Foundation of Hebei Province of China (Grant Nos E200500048 and E2008000079)Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No 20050080006)
文摘This paper investigates the infrared absorption spectra of oxygen-related complexes in silicon crystals irradiated with electron （1.5 MeV） at 360 K.Two groups of samples with low [Oi] = 6.9 x 10^17 cm^-3 and high [Oi] = 1.06 x 10^18 cm^-3 were used.We found that the concentration of the VO pairs have different behaviour to the annealing temperature in different concentration of oxygen specimen,it is hardly changed in the higher concentration of oxygen specimen.It was also found that the concentration of VO2 in lower concentration of oxygen specimen gets to maximum at 450 ℃ and then dissapears at 500 ℃,accompanied with the appearing of VO3. For both kinds of specimens,the concentration of VO3 reachs to maximum at 550 ℃ and does not disappear completely at 600 ℃.
