Parameters adjustment in cognition radio spectrum allocation based on game theory

为了解决频谱分配中的授权用户定价博弈问题,根据博弈论中的Bertrand均衡理论,提出了基于Bertrand模型的授权用户信道价格竞争的动态博弈算法。分析了稳定的纳什均衡解与速率调整参数的关系,用控制理论中阶跃函数研究价格无震荡博弈过程,提出了三值法确定阶跃响应参数。仿真结果表明,当数率调整参数在小于0.04时,可以获得稳定的信道价格;同时,验证了用阶跃函数分析无震荡博弈过程的可行性,方便授权用户快速实时定价,带来更大的经济效益

Adaptive PBIL Algorithm and Its Application to Solve Scheduling Problems

An adaptive population-based incremental learning algorithm (APBIL) is presented basing on analyzing the characteristics of traditional PBIL algorithm in this paper. Overcoming disadvantages of traditional PBIL algorithm, the proposed APBIL algorithm can adjust learning rate and mutation probability automatically according to the evolution degree of the algorithm's searching performed. Extensive computational tests with Flow shop and Job shop scheduflng problems are carried out. The results compared with standard PBIL algorithm's and genetic algorithm's show that the proposed algorithm exceed the traditional PBIL algorithm and GA in calculation efficiency and search capability. The proposed algorithm can acquire stable high quality solution

Design of manufacturing execution system for assembly plant based on RFID

RFID 作为一种先进的数据采集与识别技术,为制造执行系统(MES)提供方便快捷可靠的数据信息。在充分分析 RFID(射频识别)技术在装配制造车间生产中的技术优势基础上,提出面向典型装配制造企业、基于 RFID 技术的制造执行系统模型,构建了系统体系结构,并完成系统功能设计

Mining Urban Moving Trajectory Patterns Based on Multi-scale Space Partition and Road Network Modeling

针对城市移动轨迹模式挖掘问题展开研究,提出移动全局模式与移动过程模式相结合的挖掘方法,即通过移动轨迹的起始位置点–终点位置点(Origin-destination,OD点)与移动过程序列分别进行移动全局模式与过程模式的发现.在移动全局模式发现中,提出了弹性多尺度空间划分方法,避免了硬性等尺度网格划分对密集区域边缘的破坏,同时增强了密集区域与稀疏区域的区分能力.在移动过程模式发现中,提出了基于移动轨迹的路网拓扑关系模型构建方法,通过路网关键位置点的探测抽取拓扑关系模型.最后基于空间划分集合与路网拓扑模型对原始移动轨迹数据进行序列数据转换与频繁模式挖掘.通过深圳市出租车历史GPS轨迹数据的实验结果..

Compound Particle Optimization Using Speciation for Multimodal Function Optimization

Multimodal optimization problems pose a new challenge to evolutionary computation, since they usually not only require a search for one global optimum, but also simultaneously locating multiple optima. This paper presents a new variant of particle swarm optimization, which incorporates the notion of speciation into the compound particle optimization for solving multimodal functions. In the proposed species-based compound particle swarm optimization (SCPSO), several species containing compound particles are adaptively formed according to their similarity at each iteration step. The corresponding techniques of the compound particle, which are inspired by physics mechanisms, provides successive local improvements for each species to precisely and quickly identifying multiple global optima. Experiments on multimodal test functions suggest that SCPSO is more computationally efficient than the conventional species-based PSO

Research on path optimization of urban traffic guidance system

With the rapid development of economics and technology; the number of vehicles has largely increased. In this paper, traffic guidance and traffic control systems were researched as well as the Internet of Things (IOT). The author tried to combine these three parts to send traffic data to road users so as to let them choose the best route to travel. Meanwhile, traffic network optimization has been realized to reduce traffic congestion areas. This paper has optimized regional traffic signal control systems based on IOT, traffic guidance as well as traffic assignment, involved data sources, IOT design patterns, data collection as well as the relationship between guidance obeisance rate and traffic jam. It also involved the definition of ideal traffic shortest routes, planning and designing of traffic control systems. Results and researches could hope to combine with reality in order to reduce traffic congestion. © (2014) Trans Tech Publications, Switzerland

Mining Frequent Patterns from Uncertain Spatiotemporal Moving Trajectory Database

针对不确定移动轨迹ε-邻域的空间分布特征,提出一种基于网格分割面积的不确定轨迹近邻网格概率匹配方法,将原始不确定移动轨迹数据转换为以网格单元表示的概率序列数据,通过对经典序列模式挖掘算法Prefix Span的相关改进,设计并实现了适应于严格时间间隔约束条件下的移动概率序列模式挖掘算法UTFP-Prefix Span.合成数据的测试实验仿真结果表明,本文所提出的方法较基于距离的概率转换方法在挖掘结果、可扩展性等方面具有更好的性能

Wireless data access management of handheld based on RFID

手持设备基于在工业和移动产品领域得到广泛应用的 Wince.net 操作系统。采用 RFID 射频模块实现标签数据动态采集,OLEDB 数据接口实现 SOL Server CE 的快速数据访问。远程数据访问(RDA)和无线局域网(WiFi)技术支持手持读写器与 SQL Server 服务器之间无线数据同步功能

基于RFID的猪肉产品安全追溯标签设计

提出了基于RFID和EAN/UCC-128相结合的猪肉产品标识与追溯方法。利用RFID射频耳标对生猪养殖过程进行管理,在屠宰与销售阶段采用EAN/UCC-128系统进行条码标识。EAN/UCC-128系统通过链接RFID耳标代码实现生猪个体可追溯。该追溯系统已应用于沈阳李相畜牧养殖基地,对构建统一的、通用的标识与追溯编码做出有益的尝试

Anti-collision Algorithm Based on EPC Class-1 Gen-2 Standard and Its Improvement

针对RFID读写器识别多标签过程中出现的冲突问题,研究并实现了EPC Class-1 Gen-2标准中的防冲突算法,即时隙随机算法(SR算法),同时针对SR算法的不足提出改进算法。改进算法采用不避让冲突时隙的处理方式,降低了由时隙的随机选取所导致的标签间冲突的概率。实验结果证明,改进后的算法在通信次数和吞吐率方面均优于原算法,有效提高标签识别效率