Current urban rail transit has become a major mode of transportation, and passenger is an important factor of urban rail transport, so this article is based on passenger and the degree of the road network structure, c...Current urban rail transit has become a major mode of transportation, and passenger is an important factor of urban rail transport, so this article is based on passenger and the degree of the road network structure, calculating the point intensity of stations of urban rail transit, and then reaching a station importance by integrating many point intensities in a survey cycle time, and getting the station importance of urban rail transit network through concrete examples.展开更多
"Network MIMO" is implemented to eliminate intercell interference and improve spectral efficiency.Several system models are introduced here and synchronous and asynchronous interference are considered.This p..."Network MIMO" is implemented to eliminate intercell interference and improve spectral efficiency.Several system models are introduced here and synchronous and asynchronous interference are considered.This paper also has a look on the algorithms on the uplink decoding and downlink precoding in network MIMO with base station coordination.Two levels of base station coordination and cellular backhaul are presented,too.展开更多
The construction of charging service facilities is a very important factor in the popularization of electric vehicles. Therefore, the planning problems of electric vehicle charging station are urgent to be solved. Con...The construction of charging service facilities is a very important factor in the popularization of electric vehicles. Therefore, the planning problems of electric vehicle charging station are urgent to be solved. Considering the standard of natural environment, society, traffic, power grid and economy, an evaluation system is created for electric vehicle charging station project through 15 sub-standards. Planning model of charging station is constructed based on BP neural network adopted in the analysis. It is used for location and capacity prediction of charging station planning. By analyzing the model with data samples, a stable network structure is established and the feasibility of the model is verified in the charging station planning.展开更多
Network RTK (Real-Time Kinematic) is a technology that is based on GPS (Global Positioning System) or more gener-ally on GNSS (Global Navigation Satellite System) measurements to achieve centimeter-level accuracy posi...Network RTK (Real-Time Kinematic) is a technology that is based on GPS (Global Positioning System) or more gener-ally on GNSS (Global Navigation Satellite System) measurements to achieve centimeter-level accuracy positioning in real-time. Reference station placement is an important problem in the design and deployment of network RTK systems as it directly affects the quality of the positioning service and the cost of the network RTK systems. This paper identifies a new reference station placement for network RTK, namely QoS-aware regional network RTK reference station placement problem, and proposes an algorithm for the new reference station placement problem. The algorithm can always produce a reference station placement solution that completely covers the region of network RTK.展开更多
There are fundamentally two different communication media in wireless underground sensor networks. The first of these is a solid medium where the sensor nodes are buried underground and wirelessly transmit data from u...There are fundamentally two different communication media in wireless underground sensor networks. The first of these is a solid medium where the sensor nodes are buried underground and wirelessly transmit data from underground to aboveground. The second is an underground medium such as tunnel, cave etc. and the data is transmitted from underground to the aboveground through partially solid medium. The quality of communication is greatly influenced by the humidity of the soil in both environments. The placement of wireless underground sensor nodes at hard-to-reach locations makes energy efficient work compulsory. In this paper, rule based collector station selection scheme is proposed for lossless data transmission in underground sensor networks. In order for sensor nodes to transmit energy-efficient lossless data, rulebased selection operations are carried out with the help of fuzzy logic. The proposed wireless underground sensor network is simulated using Riverbed software, and fuzzy logic-based selection scheme is implemented utilizing Matlab software. In order to evaluate the performance of the sensor network;the parameters of delay, throughput and energy consumption are investigated. Examining performance evaluation results, it is seen that average delay and maximum throughput are accomplished in the proposed underground sensor network. Under these conditions, it has been shown that the most appropriate collector station selection decision is made with the aim of minimizing energy consumption.展开更多
This paper is concerned with the design of expressway toll station problem based on neural network and traffic flow. Firstly, the design of the toll plaza is mainly through analyzing the daily traffic flow, different ...This paper is concerned with the design of expressway toll station problem based on neural network and traffic flow. Firstly, the design of the toll plaza is mainly through analyzing the daily traffic flow, different charging mode of construction cost and waiting time of the United States. Secondly, exploring traffic conditions is divided into two kinds, based on the traffic flow speed-density flow model. Then, a fuzzy-BP neural network model is constructed, with capacity, cost, and safety factor as the input layers and performance as the output layer. It is concluded that this scheme will reduce the occurrence of traffic accidents, so it is desirable. Considering that the increase in unmanned vehicles will lead to an increase in safety performance, we increase the number of electronic toll stations to improve security performance and reduce the occurrence of traffic accidents.展开更多
The factual data on error of positioning in VRS GPS networks have been analyzed, where the mobile receiver is provided with VRS. The method of highly informative zone is suggested for removal of initial vagueness in s...The factual data on error of positioning in VRS GPS networks have been analyzed, where the mobile receiver is provided with VRS. The method of highly informative zone is suggested for removal of initial vagueness in selection of reference stations for purposes of development of VRS on the basis of minimum GPS network, composed of three reference stations. The recommendations on use of suggested method are given.展开更多
水电站计算机监控系统长期运行于强电磁干扰、多源异构数据并发及工况瞬变的复杂工业环境中,导致传统监控方法虚警频发。为此,提出基于径向基函数神经网络(radial basis function neural network,RBFNN)的水电站监控系统智能告警方法。...水电站计算机监控系统长期运行于强电磁干扰、多源异构数据并发及工况瞬变的复杂工业环境中,导致传统监控方法虚警频发。为此,提出基于径向基函数神经网络(radial basis function neural network,RBFNN)的水电站监控系统智能告警方法。该方法首先采集了水电站监控系统中的设备状态数据、日志数据和配置数据,构建了包含输入层、隐含层和输出层的RBFNN故障诊断模型。其中输入层设置3个节点对应三类监控数据,输出层设置4个节点分别对应电气、机械、环境及其他监控部分的故障分类。通过参数寻优确定隐含层结构,并采用聚类方法确定基函数中心,使用最小二乘法优化网络权重,完成模型训练。实验依托某实际水电站监控系统展开,设计涵盖紧急至信息级的七级故障分类体系,并部署分层告警框架进行验证。结果表明,所提方法能有效抑制环境干扰引致的虚警,精准识别并分级呈现故障,仅在非关键性预警与信息级故障中各出现一次误判,显著优于对照方法。研究表明,所提方法能显著提升复杂工业背景下的故障辨识鲁棒性与告警直观性,为水电站监控系统的智能化运维提供了一种有效解决方案。展开更多
文摘Current urban rail transit has become a major mode of transportation, and passenger is an important factor of urban rail transport, so this article is based on passenger and the degree of the road network structure, calculating the point intensity of stations of urban rail transit, and then reaching a station importance by integrating many point intensities in a survey cycle time, and getting the station importance of urban rail transit network through concrete examples.
文摘"Network MIMO" is implemented to eliminate intercell interference and improve spectral efficiency.Several system models are introduced here and synchronous and asynchronous interference are considered.This paper also has a look on the algorithms on the uplink decoding and downlink precoding in network MIMO with base station coordination.Two levels of base station coordination and cellular backhaul are presented,too.
文摘The construction of charging service facilities is a very important factor in the popularization of electric vehicles. Therefore, the planning problems of electric vehicle charging station are urgent to be solved. Considering the standard of natural environment, society, traffic, power grid and economy, an evaluation system is created for electric vehicle charging station project through 15 sub-standards. Planning model of charging station is constructed based on BP neural network adopted in the analysis. It is used for location and capacity prediction of charging station planning. By analyzing the model with data samples, a stable network structure is established and the feasibility of the model is verified in the charging station planning.
文摘Network RTK (Real-Time Kinematic) is a technology that is based on GPS (Global Positioning System) or more gener-ally on GNSS (Global Navigation Satellite System) measurements to achieve centimeter-level accuracy positioning in real-time. Reference station placement is an important problem in the design and deployment of network RTK systems as it directly affects the quality of the positioning service and the cost of the network RTK systems. This paper identifies a new reference station placement for network RTK, namely QoS-aware regional network RTK reference station placement problem, and proposes an algorithm for the new reference station placement problem. The algorithm can always produce a reference station placement solution that completely covers the region of network RTK.
文摘There are fundamentally two different communication media in wireless underground sensor networks. The first of these is a solid medium where the sensor nodes are buried underground and wirelessly transmit data from underground to aboveground. The second is an underground medium such as tunnel, cave etc. and the data is transmitted from underground to the aboveground through partially solid medium. The quality of communication is greatly influenced by the humidity of the soil in both environments. The placement of wireless underground sensor nodes at hard-to-reach locations makes energy efficient work compulsory. In this paper, rule based collector station selection scheme is proposed for lossless data transmission in underground sensor networks. In order for sensor nodes to transmit energy-efficient lossless data, rulebased selection operations are carried out with the help of fuzzy logic. The proposed wireless underground sensor network is simulated using Riverbed software, and fuzzy logic-based selection scheme is implemented utilizing Matlab software. In order to evaluate the performance of the sensor network;the parameters of delay, throughput and energy consumption are investigated. Examining performance evaluation results, it is seen that average delay and maximum throughput are accomplished in the proposed underground sensor network. Under these conditions, it has been shown that the most appropriate collector station selection decision is made with the aim of minimizing energy consumption.
文摘This paper is concerned with the design of expressway toll station problem based on neural network and traffic flow. Firstly, the design of the toll plaza is mainly through analyzing the daily traffic flow, different charging mode of construction cost and waiting time of the United States. Secondly, exploring traffic conditions is divided into two kinds, based on the traffic flow speed-density flow model. Then, a fuzzy-BP neural network model is constructed, with capacity, cost, and safety factor as the input layers and performance as the output layer. It is concluded that this scheme will reduce the occurrence of traffic accidents, so it is desirable. Considering that the increase in unmanned vehicles will lead to an increase in safety performance, we increase the number of electronic toll stations to improve security performance and reduce the occurrence of traffic accidents.
文摘The factual data on error of positioning in VRS GPS networks have been analyzed, where the mobile receiver is provided with VRS. The method of highly informative zone is suggested for removal of initial vagueness in selection of reference stations for purposes of development of VRS on the basis of minimum GPS network, composed of three reference stations. The recommendations on use of suggested method are given.
文摘生物多样性是人类赖以生存和发展的重要保障,保护生物多样性对维持地球生态系统的功能至关重要。珍稀濒危植物是生物多样性的重要组成部分,加强我国珍稀濒危植物保护和研究具有紧迫性和重要现实意义。中国生态系统研究网络(Chinese Ecosystem Research Network, CERN)蕴藏着一批珍稀濒危植物,具有重要的科研、经济和社会价值,对研究站点、区域及全国尺度生物多样性及其保护利用具有重大意义。在整理、形成CERN珍稀濒危维管植物名录的基础上,对CERN珍稀濒危植物资源的种类组成、濒危程度、生态站分布等方面进行分析,旨在为CERN开展单站点与跨站点珍稀濒危植物资源的系统研究、有效保护与合理利用提供参考依据。结果显示,(1)CERN有珍稀濒危植物75科140属189种,包括蕨类植物5科5属7种,裸子植物4科7属7种,被子植物66科128属175种;其中,国家一级保护植物2种、国家二级保护植物62种,133种列入《中国生物多样性红色名录》中极危、濒危和易危等级,31种列入《IUCN红色名录等级和标准》中极危、濒危和易危等级,37种列入CITES附录Ⅱ。(2)CERN的珍稀濒危植物分布于14个生态站,其中12个为森林生态系统生态站;珍稀濒危植物种类多的生态站所处地区植物群落物种多样性丰富,分布着一定数量的珍稀濒危植物,而生态站成为就地保存珍稀濒危植物的重要场所,对珍稀濒危野生植物的保护发挥了一定作用。(3)分布于2个以上生态站的珍稀濒危植物有18种,其中分布最广的一种分布在4个生态站;拥有共有珍稀濒危植物的生态站主要分为3个生态站群,每个群中的生态站可开展共有珍稀濒危植物生物学与生态学特性、种群和群落特征、濒危原因和机制、综合性保护、合理利用等方面的合作研究。由于CERN的珍稀濒危植物具有多方面经济价值,建议生态站在加大对野生植株保护管理力度的同时,加强开展科学开发与持续利用方面技术的试验和示范,更好地服务当地的经济建设。
文摘水电站计算机监控系统长期运行于强电磁干扰、多源异构数据并发及工况瞬变的复杂工业环境中,导致传统监控方法虚警频发。为此,提出基于径向基函数神经网络(radial basis function neural network,RBFNN)的水电站监控系统智能告警方法。该方法首先采集了水电站监控系统中的设备状态数据、日志数据和配置数据,构建了包含输入层、隐含层和输出层的RBFNN故障诊断模型。其中输入层设置3个节点对应三类监控数据,输出层设置4个节点分别对应电气、机械、环境及其他监控部分的故障分类。通过参数寻优确定隐含层结构,并采用聚类方法确定基函数中心,使用最小二乘法优化网络权重,完成模型训练。实验依托某实际水电站监控系统展开,设计涵盖紧急至信息级的七级故障分类体系,并部署分层告警框架进行验证。结果表明,所提方法能有效抑制环境干扰引致的虚警,精准识别并分级呈现故障,仅在非关键性预警与信息级故障中各出现一次误判,显著优于对照方法。研究表明,所提方法能显著提升复杂工业背景下的故障辨识鲁棒性与告警直观性,为水电站监控系统的智能化运维提供了一种有效解决方案。
