This paper presents a photonic crystal(PhC)line-defect slow-light waveguide modified by resonant rings.We introduce resonant rings into the line defect,constructing a slow-light waveguide with high normalized delay ba...This paper presents a photonic crystal(PhC)line-defect slow-light waveguide modified by resonant rings.We introduce resonant rings into the line defect,constructing a slow-light waveguide with high normalized delay bandwidth product(NDBP)and low group velocity dispersion(GVD).We simulate,analyze,and optimize the structural parameters of this slow-light waveguide using the finite difference time domain(FDTD)method,theoretically achieving a maximum group index of 3.7,maximum bandwidth of 15.6 nm,and maximum NDBP of 0.4416 for slow-light effect.The resonant ring-modified PhC slow-light waveguide designed in this paper exhibits GVD lower than the order of 10^(−20)s^(2)/m over a normalized frequency range from 0.3554 to 0.4175.This study is expected to provide theoretical references for the study of slow-light buffering devices based on PhCs with high NDBP values.展开更多
广义Voronoi图(GVD)的生成可以分为直接法和近似法.利用VDC(Van Der Corput)采样序列,结合了近似法,设计了一种基于VDC采样序列的GVD生成算法.该算法改进了一般生成GVD的近似方法,使得点集的采样可以增量进行,并且精度可控,提高了现有GV...广义Voronoi图(GVD)的生成可以分为直接法和近似法.利用VDC(Van Der Corput)采样序列,结合了近似法,设计了一种基于VDC采样序列的GVD生成算法.该算法改进了一般生成GVD的近似方法,使得点集的采样可以增量进行,并且精度可控,提高了现有GVD生成算法的性能.展开更多
原发性纵隔大B细胞淋巴瘤(primary mediastinal large B-cell lymphoma,PMBCL)是弥漫性大B细胞淋巴瘤(diffuse large B-cell lymphoma,DLBCL)的一种特殊亚型,好发于年轻女性[1-2]。PMBCL是一种罕见的癌症,目前对复发/难治性PMBCL的治疗...原发性纵隔大B细胞淋巴瘤(primary mediastinal large B-cell lymphoma,PMBCL)是弥漫性大B细胞淋巴瘤(diffuse large B-cell lymphoma,DLBCL)的一种特殊亚型,好发于年轻女性[1-2]。PMBCL是一种罕见的癌症,目前对复发/难治性PMBCL的治疗一般与其他复发/难治性DLBCL治疗相同,治疗方案主要包括:R-DA-EPOCH(利妥昔单抗+依托泊苷+泼尼松+长春新碱+环磷酰胺+阿霉素),DHAP(地塞米松+阿糖胞苷+顺铂),ESHAP(依托泊苷+甲基强的松+阿糖胞苷+铂剂),GDP(吉西他滨+地塞米松+顺铂),以及mini-beam(卡莫司汀+依托泊苷+阿糖胞苷+马法兰)[3-4]。展开更多
For the high-performance computing in a WAN environment,the geographical locations of national supercomputing centers are scattered and the network topology is complex,so it is difficult to form a unified view of reso...For the high-performance computing in a WAN environment,the geographical locations of national supercomputing centers are scattered and the network topology is complex,so it is difficult to form a unified view of resources.To aggregate the widely dispersed storage resources of national supercomputing centers in China,we have previously proposed a global virtual data space named GVDS in the project of“High Performance Computing Virtual Data Space”,a part of the National Key Research and Development Program of China.The GVDS enables large-scale applications of the high-performance computing to run efficiently across WAN.However,the applications running on the GVDS are often data-intensive,requiring large amounts of data from multiple supercomputing centers across WANs.In this regard,the GVDS suffers from performance bottlenecks in data migration and access across WANs.To solve the above-mentioned problem,this paper proposes a performance optimization framework of GVDS including the multitask-oriented data migration method and the request access-aware IO proxy resource allocation strategy.In a WAN environment,the framework proposed in this paper can make an efficient migration decision based on the amount of migrated data and the number of multiple data sources,guaranteeing lower average migration latency when multiple data migration tasks are running in parallel.In addition,it can ensure that the thread resource of the IO proxy node is fairly allocated among different types of requests(the IO proxy is a module of GVDS),so as to improve the application’s performance across WANs.The experimental results show that the framework can effectively reduce the average data access delay of GVDS while improving the performance of the application greatly.展开更多
In the field of autonomous robots,achieving complete precision is challenging,underscoring the need for human intervention,particularly in ensuring safety.Human Autonomy Teaming(HAT)is crucial for promoting safe and e...In the field of autonomous robots,achieving complete precision is challenging,underscoring the need for human intervention,particularly in ensuring safety.Human Autonomy Teaming(HAT)is crucial for promoting safe and efficient human-robot collaboration in dynamic indoor environments.This paper introduces a framework designed to address these precision gaps,enhancing safety and robotic interactions within such settings.Central to our approach is a hybrid graph system that integrates the Generalized Voronoi Diagram(GVD)with spatio-temporal graphs,effectively combining human feedback,environmental factors,and key waypoints.An integral component of this system is the improved Node Selection Algorithm(iNSA),which utilizes the revised Grey Wolf Optimization(rGWO)for better adaptability and performance.Furthermore,an obstacle tracking model is employed to provide predictive data,enhancing the efficiency of the system.Human insights play a critical role,from supplying initial environmental data and determining key waypoints to intervening during unexpected challenges or dynamic environmental changes.Extensive simulation and comparison tests confirm the reliability and effectiveness of our proposed model,highlighting its unique advantages in the domain of HAT.This comprehensive approach ensures that the system remains robust and responsive to the complexities of real-world applications.展开更多
基金supported by the Graduate Student Innovation Fund of Xi’an Shiyou University(No.YCS21211087).
文摘This paper presents a photonic crystal(PhC)line-defect slow-light waveguide modified by resonant rings.We introduce resonant rings into the line defect,constructing a slow-light waveguide with high normalized delay bandwidth product(NDBP)and low group velocity dispersion(GVD).We simulate,analyze,and optimize the structural parameters of this slow-light waveguide using the finite difference time domain(FDTD)method,theoretically achieving a maximum group index of 3.7,maximum bandwidth of 15.6 nm,and maximum NDBP of 0.4416 for slow-light effect.The resonant ring-modified PhC slow-light waveguide designed in this paper exhibits GVD lower than the order of 10^(−20)s^(2)/m over a normalized frequency range from 0.3554 to 0.4175.This study is expected to provide theoretical references for the study of slow-light buffering devices based on PhCs with high NDBP values.
文摘原发性纵隔大B细胞淋巴瘤(primary mediastinal large B-cell lymphoma,PMBCL)是弥漫性大B细胞淋巴瘤(diffuse large B-cell lymphoma,DLBCL)的一种特殊亚型,好发于年轻女性[1-2]。PMBCL是一种罕见的癌症,目前对复发/难治性PMBCL的治疗一般与其他复发/难治性DLBCL治疗相同,治疗方案主要包括:R-DA-EPOCH(利妥昔单抗+依托泊苷+泼尼松+长春新碱+环磷酰胺+阿霉素),DHAP(地塞米松+阿糖胞苷+顺铂),ESHAP(依托泊苷+甲基强的松+阿糖胞苷+铂剂),GDP(吉西他滨+地塞米松+顺铂),以及mini-beam(卡莫司汀+依托泊苷+阿糖胞苷+马法兰)[3-4]。
基金the National Natural Science Foundation of China(Grant Nos.62104014,62272026)the National Laboratory of Software Development Environment(No.SKLSDE-2022ZX-07)+1 种基金the Hebei Youth Talents Support Project(No.BJ2019008)the Natural Science Foundation of Hebei Province(No.F2020204003)。
文摘For the high-performance computing in a WAN environment,the geographical locations of national supercomputing centers are scattered and the network topology is complex,so it is difficult to form a unified view of resources.To aggregate the widely dispersed storage resources of national supercomputing centers in China,we have previously proposed a global virtual data space named GVDS in the project of“High Performance Computing Virtual Data Space”,a part of the National Key Research and Development Program of China.The GVDS enables large-scale applications of the high-performance computing to run efficiently across WAN.However,the applications running on the GVDS are often data-intensive,requiring large amounts of data from multiple supercomputing centers across WANs.In this regard,the GVDS suffers from performance bottlenecks in data migration and access across WANs.To solve the above-mentioned problem,this paper proposes a performance optimization framework of GVDS including the multitask-oriented data migration method and the request access-aware IO proxy resource allocation strategy.In a WAN environment,the framework proposed in this paper can make an efficient migration decision based on the amount of migrated data and the number of multiple data sources,guaranteeing lower average migration latency when multiple data migration tasks are running in parallel.In addition,it can ensure that the thread resource of the IO proxy node is fairly allocated among different types of requests(the IO proxy is a module of GVDS),so as to improve the application’s performance across WANs.The experimental results show that the framework can effectively reduce the average data access delay of GVDS while improving the performance of the application greatly.
基金supported by the Mississippi Space Grant Consortium under NASA EPSCoR RID grant.
文摘In the field of autonomous robots,achieving complete precision is challenging,underscoring the need for human intervention,particularly in ensuring safety.Human Autonomy Teaming(HAT)is crucial for promoting safe and efficient human-robot collaboration in dynamic indoor environments.This paper introduces a framework designed to address these precision gaps,enhancing safety and robotic interactions within such settings.Central to our approach is a hybrid graph system that integrates the Generalized Voronoi Diagram(GVD)with spatio-temporal graphs,effectively combining human feedback,environmental factors,and key waypoints.An integral component of this system is the improved Node Selection Algorithm(iNSA),which utilizes the revised Grey Wolf Optimization(rGWO)for better adaptability and performance.Furthermore,an obstacle tracking model is employed to provide predictive data,enhancing the efficiency of the system.Human insights play a critical role,from supplying initial environmental data and determining key waypoints to intervening during unexpected challenges or dynamic environmental changes.Extensive simulation and comparison tests confirm the reliability and effectiveness of our proposed model,highlighting its unique advantages in the domain of HAT.This comprehensive approach ensures that the system remains robust and responsive to the complexities of real-world applications.
