The multi-target assignment(MTA)problem,a crucial challenge in command control,mission planning,and a fundamental research focus in military operations,has garnered significant attention over the years.Extensively stu...The multi-target assignment(MTA)problem,a crucial challenge in command control,mission planning,and a fundamental research focus in military operations,has garnered significant attention over the years.Extensively studied across various domains such as land,sea,air,space,and electronics,the MTA problem has led to the emergence of numerous models and algorithms.To delve deeper into this field,this paper starts by conducting a bibliometric analysis on 463 Scopus database papers using CiteSpace software.The analysis includes examining keyword clustering,co-occurrence,and burst,with visual representations of the results.Following this,the paper provides an overview of current classification and modeling techniques for addressing the MTA problem,distinguishing between static multi-target assignment(SMTA)and dynamic multi-target assignment(DMTA).Subsequently,existing solution algorithms for the MTA problem are reviewed,generally falling into three categories:exact algorithms,heuristic algorithms,and machine learning algorithms.Finally,a development framework is proposed based on the"HIGH"model(high-speed,integrated,great,harmonious)to guide future research and intelligent weapon system development concerning the MTA problem.This framework emphasizes application scenarios,modeling mechanisms,solution algorithms,and system efficiency to offer a roadmap for future exploration in this area.展开更多
The netted radar system(NRS)has been proved to possess unique advantages in anti-jamming and improving target tracking performance.Effective resource management can greatly ensure the combat capability of the NRS.In t...The netted radar system(NRS)has been proved to possess unique advantages in anti-jamming and improving target tracking performance.Effective resource management can greatly ensure the combat capability of the NRS.In this paper,based on the netted collocated multiple input multiple output(CMIMO)radar,an effective joint target assignment and power allocation(JTAPA)strategy for tracking multi-targets under self-defense blanket jamming is proposed.An architecture based on the distributed fusion is used in the radar network to estimate target state parameters.By deriving the predicted conditional Cramer-Rao lower bound(PC-CRLB)based on the obtained state estimation information,the objective function is formulated.To maximize the worst case tracking accuracy,the proposed JTAPA strategy implements an online target assignment and power allocation of all active nodes,subject to some resource constraints.Since the formulated JTAPA is non-convex,we propose an efficient two-step solution strategy.In terms of the simulation results,the proposed algorithm can effectively improve tracking performance in the worst case.展开更多
A set of algorithms is proposed in this paper to automatically transform 3D animal models to Chinese painting style. Inspired by real painting process in Chinese painting of animals, we divide the whole rendering proc...A set of algorithms is proposed in this paper to automatically transform 3D animal models to Chinese painting style. Inspired by real painting process in Chinese painting of animals, we divide the whole rendering process into two parts: borderline stroke making and interior shading. In borderline stroke making process we first find 3D model silhouettes in real-time depending on the viewing direction of a user. After retrieving silhouette information from all model edges, a stroke linking mechanism is applied to link these independent edges into a long stroke. Finally we grow a plain thin silhouette line to a stylus stroke with various widths at each control point and a 2D brush model is combined with it to simulate a Chinese painting stroke. In the interior shading pipeline, three stages are used to convert a Gouraud-shading image to a Chinese painting style image: color quantization, ink diffusion and box filtering. The color quantization stage assigns all pixels in an image into four color levels and each level represents a color layer in a Chinese painting. Ink diffusion stage is used to transfer inks and water between different levels and to grow areas in an irregular way. The box filtering stage blurs sharp borders between different levels to embellish the appearance of final interior shading image. In addition to automatic rendering, an interactive Chinese painting system which is equipped with friendly input devices can be also combined to generate more artistic Chinese painting images manually.展开更多
OBJECTIVE Bisbenzylisoquinoline(BBI)alkaloids have extensive pharmacological functions.The aim of this study was to investigate the mechanisms underlying the antidepressant-like action of 7-O-ethylfangchinoline(YH-200...OBJECTIVE Bisbenzylisoquinoline(BBI)alkaloids have extensive pharmacological functions.The aim of this study was to investigate the mechanisms underlying the antidepressant-like action of 7-O-ethylfangchinoline(YH-200)in mice.METHODS Male ICR mice were used in the forced swimming(FST)and tail suspension tests(TST).RESULTS YH-200(60mg·kg-1,ig)decreased the immobility time in FST and TST,and prolonged the latency to immobility in FST.YH-200 revealed more potent anti-immobility activity than its BBI derivative tetrandrine.In addition,the pretreatment of mice with prazosin(1mg·kg-1,ip,anα1-adrenoceptor antagonist),propranolol(2 mg·kg-1,ip,a nonselectiveβ-adrenoceptor antagonist),SCH23390(0.05mg·kg-1,ip,a dopamine D1/D5 receptor antagonist),haloperidol(0.2mg·kg-1,ip,a dopamine D2/D3 receptor antagonist)and NBQX(10mg·kg-1,ip,an AMPA receptor antagonist)prevented the antidepressant-like effect of YH-200(60mg·kg-1,ig)in FST.Besides that,the pretreatment of mice with yohimbine(1mg·kg-1,ip,an α2 adrenoceptor antagonist)augmented the antidepressant-like effect of YH-200(30mg·kg-1,ig)in FST.After 14 dadministration,YH-200(30 and 60mg·kg-1,ig)did not develop drug resistance,but the potency was strengthened,meanwhile,it did not influence the changes in mice body weight.CONCLUSION YH-200 may possess the therapeutic potential for the treatment of depression via the multi-targets including the noradrenergic(α1,α2 and β-adrenoceptors),dopaminergic(D1/D5 and D2/D3receptors)and AMPAergic systems.展开更多
Alzheimer disease(AD) has now become the most common brain disorder among the older population. In addition, the currently existing therapeutics only offer temporary symptomatic relieves. Therefore, further research a...Alzheimer disease(AD) has now become the most common brain disorder among the older population. In addition, the currently existing therapeutics only offer temporary symptomatic relieves. Therefore, further research and development of more efficacious and disease-modifying agents for the prevention, treatment and restoration of AD will have tremendous value from both scientific, and economic standpoints. Over the past few years, our series of studies have identified several highly promising anti-AD dimeric leads, with disease-modifying potentials. In this presentation, the latest progress on the neuroprotective and disease modifying effects and the underlying mechanisms of those candidates will be comprehensively illustrated and discussed.展开更多
Existing pen and ink sketch technologies can be applied to general images, but they could not produce optimal output for images of traditional architecture, because most images consist of exquisite straight lined patt...Existing pen and ink sketch technologies can be applied to general images, but they could not produce optimal output for images of traditional architecture, because most images consist of exquisite straight lined patterns in traditional architecture, such as root tiles and window bars. The lines of roofs and eaves need to be described delicately to express pen and ink sketch most effectively. Therefore, by proposing a method to create white noise for light and shade of input images, to extract input vector directions from the white noise, and to determine the direction and length of stroke, a new expression technique is proposed for pen and ink sketch that could best reflect the characteristics of traditional architecture.展开更多
Volume visualization can not only illustrate overall distribution but also inner structure and it is an important approach for space environment research.Space environment simulation can produce several correlated var...Volume visualization can not only illustrate overall distribution but also inner structure and it is an important approach for space environment research.Space environment simulation can produce several correlated variables at the same time.However,existing compressed volume rendering methods only consider reducing the redundant information in a single volume of a specific variable,not dealing with the redundant information among these variables.For space environment volume data with multi-correlated variables,based on the HVQ-1d method we propose a further improved HVQ method by compositing variable-specific levels to reduce the redundant information among these variables.The volume data associated with each variable is divided into disjoint blocks of size 43 initially.The blocks are represented as two levels,a mean level and a detail level.The variable-specific mean levels and detail levels are combined respectively to form a larger global mean level and a larger global detail level.To both global levels,a splitting based on a principal component analysis is applied to compute initial codebooks.Then,LBG algorithm is conducted for codebook refinement and quantization.We further take advantage of progressive rendering based on GPU for real-time interactive visualization.Our method has been tested along with HVQ and HVQ-1d on high-energy proton flux volume data,including>5,>10,>30 and>50 MeV integrated proton flux.The results of our experiments prove that the method proposed in this paper pays the least cost of quality at compression,achieves a higher decompression and rendering speed compared with HVQ and provides satisficed fidelity while ensuring interactive rendering speed.展开更多
基于Microfacet理论,当光线照射到粗糙表面时会发生显著的多次镜面反射现象,而传统偏振双向反射分布函数(Polarized Bidirectional Reflectance Distribution Function,pBRDF)未能很好地描述这种现象,为了得到更精确的pBRDF模型,更好地...基于Microfacet理论,当光线照射到粗糙表面时会发生显著的多次镜面反射现象,而传统偏振双向反射分布函数(Polarized Bidirectional Reflectance Distribution Function,pBRDF)未能很好地描述这种现象,为了得到更精确的pBRDF模型,更好地分析材料的偏振特性,本文在包含镜面反射、漫反射和定向漫反射的三分量pBRDF模型基础上,进一步定义了高阶微相位角与一阶相位角的关系。改进后的pBRDF模型不仅考虑了多次镜面反射的几何衰减因子,还引入了微相位角的定义,从而建立了一个更全面的高阶镜面反射pBRDF模型。通过比较不同的pBRDF模型,并结合偏振特性采集装置进行验证,实验结果表明,本文提出的模型优于其他模型,三阶模型效果普遍优于二阶。在偏振图像渲染中,峰值信噪比和结构相似性平均分别提升10.09%和2.97%,呈现更加真实的渲染效果。验证本文提出的高阶镜面反射pBRDF模型能够更准确地描述目标表面的偏振特性。展开更多
基于深度学习的目标检测算法已广泛应用,与此同时最近的一系列研究表明现有的目标检测算法容易受到对抗性攻击的威胁,造成检测器失效.然而,聚焦于自动驾驶场景下对抗攻击的迁移性研究较少,并且鲜有研究关注该场景下对抗攻击的隐蔽性.针...基于深度学习的目标检测算法已广泛应用,与此同时最近的一系列研究表明现有的目标检测算法容易受到对抗性攻击的威胁,造成检测器失效.然而,聚焦于自动驾驶场景下对抗攻击的迁移性研究较少,并且鲜有研究关注该场景下对抗攻击的隐蔽性.针对现有研究的不足,将对抗样本的优化类比于机器学习模型的训练过程,设计了提升攻击迁移性的算法模块.并且通过风格迁移的方式和神经渲染(neural rendering)技术,提出并实现了迁移隐蔽攻击(transferable and stealthy attack,TSA)方法.具体来说,首先将对抗样本进行重复拼接,结合掩膜生成最终纹理,并将其应用于整个车辆表面.为了模拟真实的环境条件,使用物理变换函数将渲染的伪装车辆嵌入逼真的场景中.最后,通过设计的损失函数优化对抗样本.仿真实验表明,TSA方法在攻击迁移能力上超过了现有方法,并在外观上具有一定的隐蔽性.此外,通过物理域实验进一步证明了TSA方法在现实世界中能够保持有效的攻击性能.展开更多
基金the financial support provided by the National Natural Science Foundation of China(NSFC)(Grant No.62173274)the National Key R&D Program of China(Grant No.2019YFA0405300)+4 种基金the Natural Science Foundation of Hunan Province of China(Grant No.2021JJ10045)the Practice and Innovation Funds for Graduate Students of Northwestern Polytechnical University(Grant No.PF2023046)the Open Research Subject of State Key Laboratory of Intelligent Game(Grant No.ZBKF-24-01)the Postdoctoral Fellowship Program of CPSF(No.GZB20240989)the China Postdoctoral Science Foundation(Grant No.2024M754304)。
文摘The multi-target assignment(MTA)problem,a crucial challenge in command control,mission planning,and a fundamental research focus in military operations,has garnered significant attention over the years.Extensively studied across various domains such as land,sea,air,space,and electronics,the MTA problem has led to the emergence of numerous models and algorithms.To delve deeper into this field,this paper starts by conducting a bibliometric analysis on 463 Scopus database papers using CiteSpace software.The analysis includes examining keyword clustering,co-occurrence,and burst,with visual representations of the results.Following this,the paper provides an overview of current classification and modeling techniques for addressing the MTA problem,distinguishing between static multi-target assignment(SMTA)and dynamic multi-target assignment(DMTA).Subsequently,existing solution algorithms for the MTA problem are reviewed,generally falling into three categories:exact algorithms,heuristic algorithms,and machine learning algorithms.Finally,a development framework is proposed based on the"HIGH"model(high-speed,integrated,great,harmonious)to guide future research and intelligent weapon system development concerning the MTA problem.This framework emphasizes application scenarios,modeling mechanisms,solution algorithms,and system efficiency to offer a roadmap for future exploration in this area.
基金National Natural Science Foundation of China(Grant No.62001506)to provide fund for conducting experiments。
文摘The netted radar system(NRS)has been proved to possess unique advantages in anti-jamming and improving target tracking performance.Effective resource management can greatly ensure the combat capability of the NRS.In this paper,based on the netted collocated multiple input multiple output(CMIMO)radar,an effective joint target assignment and power allocation(JTAPA)strategy for tracking multi-targets under self-defense blanket jamming is proposed.An architecture based on the distributed fusion is used in the radar network to estimate target state parameters.By deriving the predicted conditional Cramer-Rao lower bound(PC-CRLB)based on the obtained state estimation information,the objective function is formulated.To maximize the worst case tracking accuracy,the proposed JTAPA strategy implements an online target assignment and power allocation of all active nodes,subject to some resource constraints.Since the formulated JTAPA is non-convex,we propose an efficient two-step solution strategy.In terms of the simulation results,the proposed algorithm can effectively improve tracking performance in the worst case.
文摘A set of algorithms is proposed in this paper to automatically transform 3D animal models to Chinese painting style. Inspired by real painting process in Chinese painting of animals, we divide the whole rendering process into two parts: borderline stroke making and interior shading. In borderline stroke making process we first find 3D model silhouettes in real-time depending on the viewing direction of a user. After retrieving silhouette information from all model edges, a stroke linking mechanism is applied to link these independent edges into a long stroke. Finally we grow a plain thin silhouette line to a stylus stroke with various widths at each control point and a 2D brush model is combined with it to simulate a Chinese painting stroke. In the interior shading pipeline, three stages are used to convert a Gouraud-shading image to a Chinese painting style image: color quantization, ink diffusion and box filtering. The color quantization stage assigns all pixels in an image into four color levels and each level represents a color layer in a Chinese painting. Ink diffusion stage is used to transfer inks and water between different levels and to grow areas in an irregular way. The box filtering stage blurs sharp borders between different levels to embellish the appearance of final interior shading image. In addition to automatic rendering, an interactive Chinese painting system which is equipped with friendly input devices can be also combined to generate more artistic Chinese painting images manually.
基金The project supported by National Natural Science Foundation of China(81173031,81202511 and81302746)
文摘OBJECTIVE Bisbenzylisoquinoline(BBI)alkaloids have extensive pharmacological functions.The aim of this study was to investigate the mechanisms underlying the antidepressant-like action of 7-O-ethylfangchinoline(YH-200)in mice.METHODS Male ICR mice were used in the forced swimming(FST)and tail suspension tests(TST).RESULTS YH-200(60mg·kg-1,ig)decreased the immobility time in FST and TST,and prolonged the latency to immobility in FST.YH-200 revealed more potent anti-immobility activity than its BBI derivative tetrandrine.In addition,the pretreatment of mice with prazosin(1mg·kg-1,ip,anα1-adrenoceptor antagonist),propranolol(2 mg·kg-1,ip,a nonselectiveβ-adrenoceptor antagonist),SCH23390(0.05mg·kg-1,ip,a dopamine D1/D5 receptor antagonist),haloperidol(0.2mg·kg-1,ip,a dopamine D2/D3 receptor antagonist)and NBQX(10mg·kg-1,ip,an AMPA receptor antagonist)prevented the antidepressant-like effect of YH-200(60mg·kg-1,ig)in FST.Besides that,the pretreatment of mice with yohimbine(1mg·kg-1,ip,an α2 adrenoceptor antagonist)augmented the antidepressant-like effect of YH-200(30mg·kg-1,ig)in FST.After 14 dadministration,YH-200(30 and 60mg·kg-1,ig)did not develop drug resistance,but the potency was strengthened,meanwhile,it did not influence the changes in mice body weight.CONCLUSION YH-200 may possess the therapeutic potential for the treatment of depression via the multi-targets including the noradrenergic(α1,α2 and β-adrenoceptors),dopaminergic(D1/D5 and D2/D3receptors)and AMPAergic systems.
基金Poly U(G-YBGQ G-SB81+3 种基金 G-YZ95)the Research Grant Council of Hong Kong(15101014)ITSP-Guangdong-Hong Kong Technology Cooperation Funding Scheme(GHP/012/16GD)Shenzhen Basic Research Program(JCYJ20160331141459373)
文摘Alzheimer disease(AD) has now become the most common brain disorder among the older population. In addition, the currently existing therapeutics only offer temporary symptomatic relieves. Therefore, further research and development of more efficacious and disease-modifying agents for the prevention, treatment and restoration of AD will have tremendous value from both scientific, and economic standpoints. Over the past few years, our series of studies have identified several highly promising anti-AD dimeric leads, with disease-modifying potentials. In this presentation, the latest progress on the neuroprotective and disease modifying effects and the underlying mechanisms of those candidates will be comprehensively illustrated and discussed.
基金Project(2010-0021154)supported by National Research Foundation of Korea(NRF)funded by the Ministry of Education,Science and Technology through the Basic Science Research ProgramProject(2012H1B8A2025982)supported by Human Resource Training Project for Regional Innovation,Korea
文摘Existing pen and ink sketch technologies can be applied to general images, but they could not produce optimal output for images of traditional architecture, because most images consist of exquisite straight lined patterns in traditional architecture, such as root tiles and window bars. The lines of roofs and eaves need to be described delicately to express pen and ink sketch most effectively. Therefore, by proposing a method to create white noise for light and shade of input images, to extract input vector directions from the white noise, and to determine the direction and length of stroke, a new expression technique is proposed for pen and ink sketch that could best reflect the characteristics of traditional architecture.
基金the Key Research Program of the Chinese Academy of Sciences(ZDRE-KT-2021-3)。
文摘Volume visualization can not only illustrate overall distribution but also inner structure and it is an important approach for space environment research.Space environment simulation can produce several correlated variables at the same time.However,existing compressed volume rendering methods only consider reducing the redundant information in a single volume of a specific variable,not dealing with the redundant information among these variables.For space environment volume data with multi-correlated variables,based on the HVQ-1d method we propose a further improved HVQ method by compositing variable-specific levels to reduce the redundant information among these variables.The volume data associated with each variable is divided into disjoint blocks of size 43 initially.The blocks are represented as two levels,a mean level and a detail level.The variable-specific mean levels and detail levels are combined respectively to form a larger global mean level and a larger global detail level.To both global levels,a splitting based on a principal component analysis is applied to compute initial codebooks.Then,LBG algorithm is conducted for codebook refinement and quantization.We further take advantage of progressive rendering based on GPU for real-time interactive visualization.Our method has been tested along with HVQ and HVQ-1d on high-energy proton flux volume data,including>5,>10,>30 and>50 MeV integrated proton flux.The results of our experiments prove that the method proposed in this paper pays the least cost of quality at compression,achieves a higher decompression and rendering speed compared with HVQ and provides satisficed fidelity while ensuring interactive rendering speed.
文摘基于Microfacet理论,当光线照射到粗糙表面时会发生显著的多次镜面反射现象,而传统偏振双向反射分布函数(Polarized Bidirectional Reflectance Distribution Function,pBRDF)未能很好地描述这种现象,为了得到更精确的pBRDF模型,更好地分析材料的偏振特性,本文在包含镜面反射、漫反射和定向漫反射的三分量pBRDF模型基础上,进一步定义了高阶微相位角与一阶相位角的关系。改进后的pBRDF模型不仅考虑了多次镜面反射的几何衰减因子,还引入了微相位角的定义,从而建立了一个更全面的高阶镜面反射pBRDF模型。通过比较不同的pBRDF模型,并结合偏振特性采集装置进行验证,实验结果表明,本文提出的模型优于其他模型,三阶模型效果普遍优于二阶。在偏振图像渲染中,峰值信噪比和结构相似性平均分别提升10.09%和2.97%,呈现更加真实的渲染效果。验证本文提出的高阶镜面反射pBRDF模型能够更准确地描述目标表面的偏振特性。
文摘基于深度学习的目标检测算法已广泛应用,与此同时最近的一系列研究表明现有的目标检测算法容易受到对抗性攻击的威胁,造成检测器失效.然而,聚焦于自动驾驶场景下对抗攻击的迁移性研究较少,并且鲜有研究关注该场景下对抗攻击的隐蔽性.针对现有研究的不足,将对抗样本的优化类比于机器学习模型的训练过程,设计了提升攻击迁移性的算法模块.并且通过风格迁移的方式和神经渲染(neural rendering)技术,提出并实现了迁移隐蔽攻击(transferable and stealthy attack,TSA)方法.具体来说,首先将对抗样本进行重复拼接,结合掩膜生成最终纹理,并将其应用于整个车辆表面.为了模拟真实的环境条件,使用物理变换函数将渲染的伪装车辆嵌入逼真的场景中.最后,通过设计的损失函数优化对抗样本.仿真实验表明,TSA方法在攻击迁移能力上超过了现有方法,并在外观上具有一定的隐蔽性.此外,通过物理域实验进一步证明了TSA方法在现实世界中能够保持有效的攻击性能.
