A fast algorithm based on the grayscale distribution of infrared target and the weighted kernel function was proposed for the moving target detection(MTD) in dynamic scene of image series. This algorithm is used to de...A fast algorithm based on the grayscale distribution of infrared target and the weighted kernel function was proposed for the moving target detection(MTD) in dynamic scene of image series. This algorithm is used to deal with issues like the large computational complexity, the fluctuation of grayscale, and the noise in infrared images. Four characteristic points were selected by analyzing the grayscale distribution in infrared image, of which the series was quickly matched with an affine transformation model. The image was then divided into 32×32 squares and the gray-weighted kernel(GWK) for each square was calculated. At last, the MTD was carried out according to the variation of the four GWKs. The results indicate that the MTD can be achieved in real time using the algorithm with the fluctuations of grayscale and noise can be effectively suppressed. The detection probability is greater than 90% with the false alarm rate lower than 5% when the calculation time is less than 40 ms.展开更多
We prove some value-distribution results for a class of L-functions with rational moving targets. The class contains Selberg class, as well as the Riemann-zeta function.
Parkinson＇s disease （PD） is a progressive neurodegenerative disease, which is generally considered a multifactorial disorder that arises owing to a combination of genes and environmental factors. While most cases a...Parkinson＇s disease （PD） is a progressive neurodegenerative disease, which is generally considered a multifactorial disorder that arises owing to a combination of genes and environmental factors. While most cases are idiopathic, in about 10% of the patients a genetic cause can be detected, ascribable to mutations in more than a dozen genes. PD is characterized clinically by tremor, rigidity, reduced mo- tor activity （bradykinesia）, and postural instability and pathological- ly by loss of dopaminergic （DA） neurons in the substantia nigra pars compacta, loss of DA innervation in the striatum, and the presence of a-synuclein positive aggregates in the form of Lewy bodies. The symptomatic treatment of PD with levodopa, which aims at replac- ing dopamine, remains the gold standard, and no neuroprotective or disease-modifying therapy is available. During treatment, the disease continues to progress, and long-term use of levodopa has import- ant limitations including motor complications termed dyskinesias. Therefore, a pharmacological therapy able to prevent or halt the neu- rodegenerative process is urgently required.展开更多
In this paper, a novel signal processing technique hasbeen developed to refocus moving targets image from their smeared responses in the Synthetic Aperture Radar (SAR) image according to the characteristics of the rec...In this paper, a novel signal processing technique hasbeen developed to refocus moving targets image from their smeared responses in the Synthetic Aperture Radar (SAR) image according to the characteristics of the received signals for moving targets. Quadratic Phase Function is introduced to the parameters estimation for moving target echo and SAR imaging. Our method is available even under a low SNR environment and acquiring an exact SAR image of moving targets. The simulated results demonstrated the validity of the algorithm proposed.展开更多
切段式机收甘蔗含杂率的自动测量可以客观评估机收甘蔗到糖厂入榨前的质量。针对现有抽样称重估算杂质方式效率低且主观性强的问题,以及因田间环境较为复杂使得检测目标蔗段存在运动状态变换导致的模糊、光照强度变化和蔗叶遮挡等技术难...切段式机收甘蔗含杂率的自动测量可以客观评估机收甘蔗到糖厂入榨前的质量。针对现有抽样称重估算杂质方式效率低且主观性强的问题,以及因田间环境较为复杂使得检测目标蔗段存在运动状态变换导致的模糊、光照强度变化和蔗叶遮挡等技术难点,提出了一种基于改进YOLOv5安装在切段式甘蔗机上的机收蔗含杂率检测的方法。首先,针对工业相机拍摄的蔗段目标为小目标的应用场景,增加小目标检测层,增强网络模型对其的专注;其次,将C3模块替换成C2f模块,提高网络模型对小物体、低对比度目标的检测速度和检测精度;最后,加入加权交并比WIoU(Weighted Intersection over Union)损失函数,提升预测框的回归精度,增强数据集训练效果。试验结果表明:基于改进YOLOv5的机收蔗含杂率检测模型,蔗段识别准确率达95.2%、mAP(mean Average Precision)值为62.5%,相较于原始YOLOv5模型分别提高了15.3、13.5个百分点,性能优于YOLOv7、YOLOv8等模型。在台架试验中,改进后模型检测的含杂率平均相对误差为19.58%,比改进前模型降低了38.12个百分点;含杂率平均值为7.31%,比人工测量的实际含杂率高出0.05个百分点。因此,此方法是一种实时性强、效率高、准确性高且能全量检测机收蔗含杂率的方法,能够为田间甘蔗收获作业质量提供技术支撑。展开更多
Translation is regarded as a cross-cultural,cross-social,and cross-linguistic communicative activity.In this light,the process of translation is perceived as one of establishing functional equivalence between the sour...Translation is regarded as a cross-cultural,cross-social,and cross-linguistic communicative activity.In this light,the process of translation is perceived as one of establishing functional equivalence between the source text and the target text in order for the latter to be as faithful as possible to the former in both meaning and function.Proverbs are language-and culture-specific expressions,which often cause difficulties in translation.This paper aims to approach proverb translation from the functional equivalence perspective.展开更多
For being able to deal with the nonlinear or non-Gaussian problems, particle filters have been studied by many researchers. Based on particle filter, the extended Kalman filter （EKF） proposal function is applied to ...For being able to deal with the nonlinear or non-Gaussian problems, particle filters have been studied by many researchers. Based on particle filter, the extended Kalman filter （EKF） proposal function is applied to Bayesian target tracking. Markov chain Monte Carlo （MCMC） method, the resampling step, ere novel techniques are also introduced into Bayesian target tracking. And the simulation results confirm the improved particle filter with these techniques outperforms the basic one.展开更多
Repeater optimization is the key for SOC （System on Chip） interconnect delay design. This paper proposes a novel optimal model for minimizing power and area overhead of repeaters while meeting the target performance...Repeater optimization is the key for SOC （System on Chip） interconnect delay design. This paper proposes a novel optimal model for minimizing power and area overhead of repeaters while meeting the target performance of on-chip interconnect lines. It also presents Lagrangian function to find the number of repeaters and their sizes required for minimizing area and power overhead with target delay constraint. Based on the 65 nanometre CMOS technology, the computed results of the intermediate and global lines show that the proposed model can significantly reduce area and power of interconnected lines, and the better performance will be achieved with the longer line. The results compared with the reference paper demonstrate the validity of this model. It can be integrated into repeater design methodology and CAD （computer aided design） tool for interconnect planning in nanometre SOC.展开更多
This paper considers the problems of target tracking and obstacle avoidance for multi-agent systems. To solve the problem that multiple agents cannot effectively track the target while avoiding obstacle in dynamic env...This paper considers the problems of target tracking and obstacle avoidance for multi-agent systems. To solve the problem that multiple agents cannot effectively track the target while avoiding obstacle in dynamic environment, a novel control algorithm based on potential function and behavior rules is proposed. Meanwhile, the interactions among agents are also considered. According to the state whether an agent is within the area of its neighbors＇ influence, two kinds of potential functions are presented. Meanwhile, the distributed control input of each agent is determined by relative velocities as well as relative positions among agents, target and obstacle. The maximum linear speed of the agents is also discussed. Finally, simulation studies are given to demonstrate the performance of the proposed algorithm.展开更多
This paper investigates the effect of launching multiple weapons against an area target of normally distributed elements. We provide an analytical form of the average damage fraction and then apply it to obtain optima...This paper investigates the effect of launching multiple weapons against an area target of normally distributed elements. We provide an analytical form of the average damage fraction and then apply it to obtain optimal aimpoints. To facilitate the computational efforts in practice, we also consider optimizations over given constrained patterns of aimpoints. Finally, we derive scaling laws for optimal aimpoints and optimal damage fraction with respect to the radius of the area target.展开更多
Sensor management plays an important role in data fusion system, and this paper presents an algorithm of sensor management that can be used in target detection, identification and tracking. First, the basic concept, r...Sensor management plays an important role in data fusion system, and this paper presents an algorithm of sensor management that can be used in target detection, identification and tracking. First, the basic concept, rule, range and function of sensor management are introduced. Then, the quantifying problems of target priority and sensor (or combination)-target pairing in multisensor management are discussed and the efficiency and waste functions are established based on the functions of target priority and sensor-target pairing. On this basis, a distribution algorithm of multi-sensor resources is given, which is optimized by the principle of maximum synthesis efficiency in the multisensor system and constrained by sensor maximum tracking power and what target must be scanned. In addition, the waste measure of sensor resources is introduced to improve the algorithm. Finally, a tactical task that includes three sensors and ten targets is set, and the simulation results show that the algorithm is feasible and effective.展开更多
TALYS code was used to calculate excitation functions for proton induced onn atAg,natCd and 113In,deuteron induced onn atAg and alpha induced on natPd that lead to produce 109Cd radioisotope using low and medium energ...TALYS code was used to calculate excitation functions for proton induced onn atAg,natCd and 113In,deuteron induced onn atAg and alpha induced on natPd that lead to produce 109Cd radioisotope using low and medium energy accelerators;calculates was performed out up to 50 MeV.Recommended thickness of the targets according to SRIM code was premeditated.Theoretical integral yields for any reaction were computed.TALYS 1.0 code predicts that production of a few curries of 109Cd is feasible using a target of high isotopically enriched 110Cd,proton energy of 15 to 27 MeV,however high cost of the enriched target seems to be not a practical economic alternative to produce1 09Cd.The Ag+p and Ag+d processes can be an efficient route and economic for the production of millicurries of the radioisotope with incident beam energy less 15 MeV using low energy accelerator.展开更多
The different approaches used for target decomposition （TD） theory in radar polarimetry are reviewed and three main types of theorems are introduced： those based on Mueller matrix, those using an eigenvector analys...The different approaches used for target decomposition （TD） theory in radar polarimetry are reviewed and three main types of theorems are introduced： those based on Mueller matrix, those using an eigenvector analysis of the coherency matrix, and those employing coherent decomposition of the scattering matrix. Support vector machine （SVM）, as a novel approach in pattern recognition, has demonstrated success in many fields. A new algorithm of target classification, by combining target decomposition and the support vector machine, is proposed. To conduct the experiment, the polarimetric synthetic aperture radar （SAR） data are used. Experimental results show that it is feasible and efficient to target classification by applying target decomposition to extract scattering mechanisms, and the effects of kernel function and its parameters on the classification efficiency are significant.展开更多
基金Project(61101185)supported by the National Natural Science Foundation of China
文摘A fast algorithm based on the grayscale distribution of infrared target and the weighted kernel function was proposed for the moving target detection(MTD) in dynamic scene of image series. This algorithm is used to deal with issues like the large computational complexity, the fluctuation of grayscale, and the noise in infrared images. Four characteristic points were selected by analyzing the grayscale distribution in infrared image, of which the series was quickly matched with an affine transformation model. The image was then divided into 32×32 squares and the gray-weighted kernel(GWK) for each square was calculated. At last, the MTD was carried out according to the variation of the four GWKs. The results indicate that the MTD can be achieved in real time using the algorithm with the fluctuations of grayscale and noise can be effectively suppressed. The detection probability is greater than 90% with the false alarm rate lower than 5% when the calculation time is less than 40 ms.
文摘We prove some value-distribution results for a class of L-functions with rational moving targets. The class contains Selberg class, as well as the Riemann-zeta function.
基金supported by the Ministry of Health and Department of Educational Assistance,University and Research of the Autonomous Province of Bolzano
文摘Parkinson＇s disease （PD） is a progressive neurodegenerative disease, which is generally considered a multifactorial disorder that arises owing to a combination of genes and environmental factors. While most cases are idiopathic, in about 10% of the patients a genetic cause can be detected, ascribable to mutations in more than a dozen genes. PD is characterized clinically by tremor, rigidity, reduced mo- tor activity （bradykinesia）, and postural instability and pathological- ly by loss of dopaminergic （DA） neurons in the substantia nigra pars compacta, loss of DA innervation in the striatum, and the presence of a-synuclein positive aggregates in the form of Lewy bodies. The symptomatic treatment of PD with levodopa, which aims at replac- ing dopamine, remains the gold standard, and no neuroprotective or disease-modifying therapy is available. During treatment, the disease continues to progress, and long-term use of levodopa has import- ant limitations including motor complications termed dyskinesias. Therefore, a pharmacological therapy able to prevent or halt the neu- rodegenerative process is urgently required.
文摘In this paper, a novel signal processing technique hasbeen developed to refocus moving targets image from their smeared responses in the Synthetic Aperture Radar (SAR) image according to the characteristics of the received signals for moving targets. Quadratic Phase Function is introduced to the parameters estimation for moving target echo and SAR imaging. Our method is available even under a low SNR environment and acquiring an exact SAR image of moving targets. The simulated results demonstrated the validity of the algorithm proposed.
文摘切段式机收甘蔗含杂率的自动测量可以客观评估机收甘蔗到糖厂入榨前的质量。针对现有抽样称重估算杂质方式效率低且主观性强的问题,以及因田间环境较为复杂使得检测目标蔗段存在运动状态变换导致的模糊、光照强度变化和蔗叶遮挡等技术难点,提出了一种基于改进YOLOv5安装在切段式甘蔗机上的机收蔗含杂率检测的方法。首先,针对工业相机拍摄的蔗段目标为小目标的应用场景,增加小目标检测层,增强网络模型对其的专注;其次,将C3模块替换成C2f模块,提高网络模型对小物体、低对比度目标的检测速度和检测精度;最后,加入加权交并比WIoU(Weighted Intersection over Union)损失函数,提升预测框的回归精度,增强数据集训练效果。试验结果表明:基于改进YOLOv5的机收蔗含杂率检测模型,蔗段识别准确率达95.2%、mAP(mean Average Precision)值为62.5%,相较于原始YOLOv5模型分别提高了15.3、13.5个百分点,性能优于YOLOv7、YOLOv8等模型。在台架试验中,改进后模型检测的含杂率平均相对误差为19.58%,比改进前模型降低了38.12个百分点;含杂率平均值为7.31%,比人工测量的实际含杂率高出0.05个百分点。因此,此方法是一种实时性强、效率高、准确性高且能全量检测机收蔗含杂率的方法,能够为田间甘蔗收获作业质量提供技术支撑。
文摘Translation is regarded as a cross-cultural,cross-social,and cross-linguistic communicative activity.In this light,the process of translation is perceived as one of establishing functional equivalence between the source text and the target text in order for the latter to be as faithful as possible to the former in both meaning and function.Proverbs are language-and culture-specific expressions,which often cause difficulties in translation.This paper aims to approach proverb translation from the functional equivalence perspective.
基金This project was supported by the National Natural Science Foundation of China (50405017) .
文摘For being able to deal with the nonlinear or non-Gaussian problems, particle filters have been studied by many researchers. Based on particle filter, the extended Kalman filter （EKF） proposal function is applied to Bayesian target tracking. Markov chain Monte Carlo （MCMC） method, the resampling step, ere novel techniques are also introduced into Bayesian target tracking. And the simulation results confirm the improved particle filter with these techniques outperforms the basic one.
基金supported by the National Natural Science Foundation of the China (Grant Nos 60676009 and 60776034)the Doctor Foundation of Ministry of Education of China (Grant No 20050701015)the National Outstanding Young Scientist Foundation of China (Grant No 60725415)
文摘Repeater optimization is the key for SOC （System on Chip） interconnect delay design. This paper proposes a novel optimal model for minimizing power and area overhead of repeaters while meeting the target performance of on-chip interconnect lines. It also presents Lagrangian function to find the number of repeaters and their sizes required for minimizing area and power overhead with target delay constraint. Based on the 65 nanometre CMOS technology, the computed results of the intermediate and global lines show that the proposed model can significantly reduce area and power of interconnected lines, and the better performance will be achieved with the longer line. The results compared with the reference paper demonstrate the validity of this model. It can be integrated into repeater design methodology and CAD （computer aided design） tool for interconnect planning in nanometre SOC.
基金supported by National Basic Research Program of China (973 Program) (No. 2010CB731800)Key Program of National Natural Science Foundation of China (No. 60934003)Key Project for Natural Science Research of Hebei Education Department(No. ZD200908)
文摘This paper considers the problems of target tracking and obstacle avoidance for multi-agent systems. To solve the problem that multiple agents cannot effectively track the target while avoiding obstacle in dynamic environment, a novel control algorithm based on potential function and behavior rules is proposed. Meanwhile, the interactions among agents are also considered. According to the state whether an agent is within the area of its neighbors＇ influence, two kinds of potential functions are presented. Meanwhile, the distributed control input of each agent is determined by relative velocities as well as relative positions among agents, target and obstacle. The maximum linear speed of the agents is also discussed. Finally, simulation studies are given to demonstrate the performance of the proposed algorithm.
文摘This paper investigates the effect of launching multiple weapons against an area target of normally distributed elements. We provide an analytical form of the average damage fraction and then apply it to obtain optimal aimpoints. To facilitate the computational efforts in practice, we also consider optimizations over given constrained patterns of aimpoints. Finally, we derive scaling laws for optimal aimpoints and optimal damage fraction with respect to the radius of the area target.
基金National Natural Science Foundation of China! ( No.6 9772 0 3 1)Natural Science Foundation of Henan Province
文摘Sensor management plays an important role in data fusion system, and this paper presents an algorithm of sensor management that can be used in target detection, identification and tracking. First, the basic concept, rule, range and function of sensor management are introduced. Then, the quantifying problems of target priority and sensor (or combination)-target pairing in multisensor management are discussed and the efficiency and waste functions are established based on the functions of target priority and sensor-target pairing. On this basis, a distribution algorithm of multi-sensor resources is given, which is optimized by the principle of maximum synthesis efficiency in the multisensor system and constrained by sensor maximum tracking power and what target must be scanned. In addition, the waste measure of sensor resources is introduced to improve the algorithm. Finally, a tactical task that includes three sensors and ten targets is set, and the simulation results show that the algorithm is feasible and effective.
文摘TALYS code was used to calculate excitation functions for proton induced onn atAg,natCd and 113In,deuteron induced onn atAg and alpha induced on natPd that lead to produce 109Cd radioisotope using low and medium energy accelerators;calculates was performed out up to 50 MeV.Recommended thickness of the targets according to SRIM code was premeditated.Theoretical integral yields for any reaction were computed.TALYS 1.0 code predicts that production of a few curries of 109Cd is feasible using a target of high isotopically enriched 110Cd,proton energy of 15 to 27 MeV,however high cost of the enriched target seems to be not a practical economic alternative to produce1 09Cd.The Ag+p and Ag+d processes can be an efficient route and economic for the production of millicurries of the radioisotope with incident beam energy less 15 MeV using low energy accelerator.
文摘The different approaches used for target decomposition （TD） theory in radar polarimetry are reviewed and three main types of theorems are introduced： those based on Mueller matrix, those using an eigenvector analysis of the coherency matrix, and those employing coherent decomposition of the scattering matrix. Support vector machine （SVM）, as a novel approach in pattern recognition, has demonstrated success in many fields. A new algorithm of target classification, by combining target decomposition and the support vector machine, is proposed. To conduct the experiment, the polarimetric synthetic aperture radar （SAR） data are used. Experimental results show that it is feasible and efficient to target classification by applying target decomposition to extract scattering mechanisms, and the effects of kernel function and its parameters on the classification efficiency are significant.
