An alternative extension to the Gaussian-beam expansion technique is provided to simplify the computation of the ~esnel field integral for rectangular symmetric sources. From a known result that the circle or rectangl...An alternative extension to the Gaussian-beam expansion technique is provided to simplify the computation of the ~esnel field integral for rectangular symmetric sources. From a known result that the circle or rectangle function is approximately decomposed into a sum of Gaussian functions, the cosine function is similarly expanded by the Bessel Fourier transform. Two expansions are together inserted in this field integral, it is then expressible in terms of the simple algebraic functions. As examples, the numerical results for the sound pressure field are presented for the uniform rectangular piston transducer, in a good agreement with those directly evaluated from the Fresnel integral. A wide applicability of this approach is discussed in treatment of the ultrasonic field radiation problem for a large and important group of piston sources in acoustics.展开更多
A longstanding challenge in materials science has been the computational modeling of interfaces between materials with different lattice parameters.Traditional approaches using plane-wave basis sets require either int...A longstanding challenge in materials science has been the computational modeling of interfaces between materials with different lattice parameters.Traditional approaches using plane-wave basis sets require either introducing artificial strain through unified lattice parameters or constructing prohibitively large supercells to accommodate the mismatch.These limitations have often deterred researchers from investigating large,mismatched interfaces,creating a gap in the understanding of these important systems.This work introduces an innovative algorithm that adaptively tunes the plane-wave basis sets to match the periodic structure of each material across the interface.By eliminating the need for extensive supercells or compromised lattice parameters,this new method reduces computational costs while retaining reliable results.The ability to efficiently calculate the eigen-energies of such mismatched systems,a crucial step for full density functional theory(DFT)calculations,is demonstrated with two dimensional versions of InAs/Si and SiC/Si interface potentials.展开更多
Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination c...Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination criterion of eye location is established by the prior knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented face image (i.e., a binary image) are estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm and correct localization rate.展开更多
针对长短码直接扩频序列(long and short code direct sequence spread spectrum, LSC-DSSS)信号序列估计难题,在已知LSC-DSSS信号参数的条件下,提出一种基于新信息准则(novel information criterion, NIC)神经网络联合梅西算法的长短...针对长短码直接扩频序列(long and short code direct sequence spread spectrum, LSC-DSSS)信号序列估计难题,在已知LSC-DSSS信号参数的条件下,提出一种基于新信息准则(novel information criterion, NIC)神经网络联合梅西算法的长短码信号序列估计方法。将LSC-DSSS信号输入NIC神经网络以估计随机采样起点,再通过不断输入数据训练NIC神经网络权值向量。当网络收敛时,权值向量的符号值即为LSC-DSSS信号的复合码序列片段。使用延迟相乘,消除幅度模糊与短扩频码序列的影响,再利用梅西算法获得扰码序列的生成多项式。仿真实验结果表明,NIC神经网络较特征值分解法的抗噪声性能提高6 dB,同时较Hebbian准则神经网络所需学习组数减少50%。展开更多
Enhancers are short DNA cis-elements that can be bound by proteins(activators)to increase the possibility that transcription of a particular gene will occur.The Enhancers perform a significant role in the formation of...Enhancers are short DNA cis-elements that can be bound by proteins(activators)to increase the possibility that transcription of a particular gene will occur.The Enhancers perform a significant role in the formation of proteins and regulating the gene transcription process.Human diseases such as cancer,inflammatory bowel disease,Parkinson’s,addiction,and schizophrenia are due to genetic variation in enhancers.In the current study,we havemade an effort by building,amore robust and novel computational a bi-layered model.The representative feature vector was constructed over a linear combination of six features.The optimum Hybrid feature vector was obtained via the Novel Cascade Multi-Level Subset Feature selection(CMSFS)algorithm.The first layer predicts the enhancer,and the secondary layer carries the prediction of their subtypes.The baseline model obtained 87.88%of accuracy,95.29%of sensitivity,80.47%of specificity,0.766 of MCC,and 0.9603 of a roc value on Layer-1.Similarly,the model obtained 68.24%,65.54%,70.95%,0.3654,and 0.7568 as an Accuracy,sensitivity,specificity,MCC,and ROC values on layer-2 respectively.Over an independent dataset on layer-1,the piEnPred secured 80.4%accuracy,82.5%of sensitivity,78.4%of specificity,and 0.6099 as MCC,respectively.Subsequently,the proposed predictor obtained 72.5%of accuracy,70.0%of sensitivity,75%of specificity,and 0.4506 of MCC on layer-2,respectively.The proposed method remarkably performed in contrast to other state-of-the-art predictors.For the convenience of most experimental scientists,a user-friendly and publicly freely accessible web server@/bienhancer dot pythonanywhere dot com has been developed.展开更多
A novel image fusion algorithm based on bandelet transform is proposed. Bandelet transform can take advantage of the geometrical regularity of image structure and represent sharp image transitions such as edges effici...A novel image fusion algorithm based on bandelet transform is proposed. Bandelet transform can take advantage of the geometrical regularity of image structure and represent sharp image transitions such as edges efficiently in image fusion. For reconstructing the fused image, the maximum rule is used to select source images' geometric flow and bandelet coefficients. Experimental results indicate that the bandelet-based fusion algorithm represents the edge and detailed information well and outperforms the wavelet-based and Laplacian pyramid-based fusion algorithms, especially when the abundant texture and edges are contained in the source images.展开更多
基金Supported by the National Natural Science Foundation of China under Grant Nos 11074038 and 11374051
摘要An alternative extension to the Gaussian-beam expansion technique is provided to simplify the computation of the ~esnel field integral for rectangular symmetric sources. From a known result that the circle or rectangle function is approximately decomposed into a sum of Gaussian functions, the cosine function is similarly expanded by the Bessel Fourier transform. Two expansions are together inserted in this field integral, it is then expressible in terms of the simple algebraic functions. As examples, the numerical results for the sound pressure field are presented for the uniform rectangular piston transducer, in a good agreement with those directly evaluated from the Fresnel integral. A wide applicability of this approach is discussed in treatment of the ultrasonic field radiation problem for a large and important group of piston sources in acoustics.
基金support of The Boeing Company,as part of the Boeing-Technion Sustainable Aviation Fuel Innovation CenterWe sincerely thank Boeing for their valuable support and collaboration.This project was also conducted within the framework of the Guy Sella Memorial Project at Technion,established by SolarEdge Technologies LTD.Partial funding from The Israeli Sustainable Aviation Fuel Knowledge Center–iSAF,supported by The Israeli Ministry of Innovation,Science,and Technology,is gratefully acknowledgedThis article is based upon work from COST IG18234(NanoCatML),supported by COST(European Cooperation in Science and Technology)http://gffzzcdb9111c9d70479chwubqkbqvqooo66k0.ffgz.tsg.suse.edu.cn.
摘要A longstanding challenge in materials science has been the computational modeling of interfaces between materials with different lattice parameters.Traditional approaches using plane-wave basis sets require either introducing artificial strain through unified lattice parameters or constructing prohibitively large supercells to accommodate the mismatch.These limitations have often deterred researchers from investigating large,mismatched interfaces,creating a gap in the understanding of these important systems.This work introduces an innovative algorithm that adaptively tunes the plane-wave basis sets to match the periodic structure of each material across the interface.By eliminating the need for extensive supercells or compromised lattice parameters,this new method reduces computational costs while retaining reliable results.The ability to efficiently calculate the eigen-energies of such mismatched systems,a crucial step for full density functional theory(DFT)calculations,is demonstrated with two dimensional versions of InAs/Si and SiC/Si interface potentials.
基金This research was supported by the Excellent Young Teachers Program of the Ministry of Education, P. R. China, the National Natural Science Foundation of China(No. 60375010)
摘要Based on geometrical facial features and image segmentation, we present a novel algorithm for automatic localization of human eyes in grayscale or color still images with complex background. Firstly, a determination criterion of eye location is established by the prior knowledge of geometrical facial features. Secondly, a range of threshold values that would separate eye blocks from others in a segmented face image (i.e., a binary image) are estimated. Thirdly, with the progressive increase of the threshold by an appropriate step in that range, once two eye blocks appear from the segmented image, they will be detected by the determination criterion of eye location. Finally, the 2D correlation coefficient is used as a symmetry similarity measure to check the factuality of the two detected eyes. To avoid the background interference, skin color segmentation can be applied in order to enhance the accuracy of eye detection. The experimental results demonstrate the high efficiency of the algorithm and correct localization rate.
摘要针对长短码直接扩频序列(long and short code direct sequence spread spectrum, LSC-DSSS)信号序列估计难题,在已知LSC-DSSS信号参数的条件下,提出一种基于新信息准则(novel information criterion, NIC)神经网络联合梅西算法的长短码信号序列估计方法。将LSC-DSSS信号输入NIC神经网络以估计随机采样起点,再通过不断输入数据训练NIC神经网络权值向量。当网络收敛时,权值向量的符号值即为LSC-DSSS信号的复合码序列片段。使用延迟相乘,消除幅度模糊与短扩频码序列的影响,再利用梅西算法获得扰码序列的生成多项式。仿真实验结果表明,NIC神经网络较特征值分解法的抗噪声性能提高6 dB,同时较Hebbian准则神经网络所需学习组数减少50%。
基金The work was supported by the National Natural Science Foundation of China(Grant No.U1433116).
摘要Enhancers are short DNA cis-elements that can be bound by proteins(activators)to increase the possibility that transcription of a particular gene will occur.The Enhancers perform a significant role in the formation of proteins and regulating the gene transcription process.Human diseases such as cancer,inflammatory bowel disease,Parkinson’s,addiction,and schizophrenia are due to genetic variation in enhancers.In the current study,we havemade an effort by building,amore robust and novel computational a bi-layered model.The representative feature vector was constructed over a linear combination of six features.The optimum Hybrid feature vector was obtained via the Novel Cascade Multi-Level Subset Feature selection(CMSFS)algorithm.The first layer predicts the enhancer,and the secondary layer carries the prediction of their subtypes.The baseline model obtained 87.88%of accuracy,95.29%of sensitivity,80.47%of specificity,0.766 of MCC,and 0.9603 of a roc value on Layer-1.Similarly,the model obtained 68.24%,65.54%,70.95%,0.3654,and 0.7568 as an Accuracy,sensitivity,specificity,MCC,and ROC values on layer-2 respectively.Over an independent dataset on layer-1,the piEnPred secured 80.4%accuracy,82.5%of sensitivity,78.4%of specificity,and 0.6099 as MCC,respectively.Subsequently,the proposed predictor obtained 72.5%of accuracy,70.0%of sensitivity,75%of specificity,and 0.4506 of MCC on layer-2,respectively.The proposed method remarkably performed in contrast to other state-of-the-art predictors.For the convenience of most experimental scientists,a user-friendly and publicly freely accessible web server@/bienhancer dot pythonanywhere dot com has been developed.
基金This work was supported by the Navigation Science Foundation (No.05F07001)the National Natural Science Foundation of China (No.60472081).
摘要A novel image fusion algorithm based on bandelet transform is proposed. Bandelet transform can take advantage of the geometrical regularity of image structure and represent sharp image transitions such as edges efficiently in image fusion. For reconstructing the fused image, the maximum rule is used to select source images' geometric flow and bandelet coefficients. Experimental results indicate that the bandelet-based fusion algorithm represents the edge and detailed information well and outperforms the wavelet-based and Laplacian pyramid-based fusion algorithms, especially when the abundant texture and edges are contained in the source images.