认知Ad hoc网络中基于市场的三级频谱分配方案

分簇是Ad hoc网络规模较大时采用的主要结构,而频谱分配是Ad hoc网络的关键技术之一。该文针对认知无线电环境的分簇Ad hoc网络,提出了一种新的基于市场的频谱分配方案,该方案中簇首节点依据业务比例从频谱管理中心购买频谱,簇内采用基于供需市场理论的频谱分配算法。分析了簇内频谱市场的两种迭代定价算法额外需求迭代算法和连续松弛迭代算法以及簇首需求订购的过程。该方案能实现各簇收益的最大化,簇首基于需求的频谱购买相对于等量购买进一步提高了频谱效用。仿真结果表明这种频谱分配方案能有效提高系统频谱效用,额外需求迭代算法和连续松弛迭代算法均表现出良好的收敛性能。     

高血压及药物治疗对飞行员认知功能的影响

目的探讨高血压及药物治疗对飞行员认知功能的影响。方法对13名无并发症的高血压飞行员和10名经降血压药物治疗后血压恢复正常的飞行员,进行闪光融合频率、多项反应时、空间位置记忆广度、注意力集中能力、警戒性等认知功能测试,并与年龄相近的13名健康飞行员对照。结果高血压组闪光融合频率、注意力集中能力、空间位置记忆广度分值均明显低于对照组（P〈0.05、P〈0.01和P〈0.01）,多项反应时中红、黄绿反应时间明显慢于对照组（P〈0.01）,警戒性作业总错误率明显高于对照组（P〈0.01）。高血压治疗组与高血压组均有统计学差异（P〈0.05、P〈0.01）。结论患高血压病飞行员有不同程度的认知功能减退,在飞行人员医学鉴定时应予重视。     

Group mobility assisted network selection framework in 5G vehicular cognitive radio networks

The heterogeneity nature of networks is the most eminent characteristic in 5G vehicular cognitive radio networks across complex radio environments. Since multiple communicating radios may be in motion at the same time in a vehicle. So, group mobility is the most prominent characteristic that requires to be a deep investigation. Therefore, different communication radios that are moving on a train/bus needed to select the networks simultaneously. Without considering the group mobility feature, there is a possibility that the same network may be selected by each moving node and cause congestion in a particular network. To overcome this problem, a novel network selection technique considering the group mobility feature is proposed to improve the throughput of the network. In this work, a 5G vehicular cognitive radio network scenario is also realized using USRP-2954 and LabVIEW communications system design suite testbed. The performance metrics like transmission delay, packet loss rate, reject rate and, channel utilization for vehicular nodes, are gained to analyze the proposed technique in vehicular cognitive radio networks environment. The proposed technique demonstrates a remarkable improvement in channel utilization for vehicular nodes and outperformed conventional schemes.     

聪脑益智针法联合精神运动康复改善脑瘫认知障碍临床研究

摘 要:目的 观察聪脑益智针法联合精神运动康复改善脑瘫患儿认知功能障碍的临床疗效。方法 选取我院住院脑瘫患儿伴有认知功能障碍者100例为研究对象,以随机数字表法分为综合康复组、聪脑益智针法联合精神运动康复训练组各50例。两组患儿均以综合康复治疗为基础,治疗组在综合康复治疗基础上进行聪脑益智针刺联合精神运动康复训练治疗,两组患儿均治疗3个月,治疗前后均按参照有关文献拟定的疗效标准进行评定观察。结果 应用聪脑益智针法联合精神运动康复训练治疗脑瘫患儿认知功能障碍在提高智力方面亦优于常规综合治疗组,差异有统计学意义（P＜0.05）。结论 聪脑益智针法联合精神运动康复可有效改善脑瘫患儿认知障碍,临床疗效明显,值得在临床上推广应用。     

Untangling the effect of cognitive trust and perceived value on health-related information seeking,sharing and psychological well-being: Motivations sought perspective

Previous literature has documented that mobile application utilization increased exponentially throughout the ongoing COVID-19 epidemic. To comprehend the possible antecedents of individuals’ psychological well-being, this research invokes motivation theory and associated literature on perceived assessment (cognitive trust, perceived value, and perceived threat) to comprehensively investigate the determinants of factors influencing mobile app users’ health-related information behaviors and psychological outcomes. Data were gathered collected from 898 users of mobile apps, and this article adopted structural equation modeling (SEM) to evaluate the hypothesis generation model. Obtained findings demonstrated that cognitive trust and perceived value positively impacted seeking and sharing health-related information, which subsequently benefited individuals’ psychological well-being during the public health crisis. Furthermore, perceived threat exerted a negative impact on seeking and sharing health-related information. These results contribute to existing studies on psychological well-being by broadening the antecedence domain of information practices and revealing the underlying psychological mechanism behind this dynamic process. This study could also benefit practitioners by providing insights into embedded system and mobile app development, which would play a pivotal role in enhancing user experiences that optimize psychological well-being.     

面向实时业务的认知无线网络 MAC 层频谱接入方案

摘 要：为满足认知无线网络中宽带业务实时传输的需求,提出低延迟的MAC层频谱接入方案,包括频谱感知调度与信道接入竞争两部分。在频谱感知阶段,认知用户选取最佳可用信道数实现感知与传输的延迟最小化;在信道接入竞争阶段,协议考虑频谱资源动态变化的特点,通过设计数据帧格式以及邻居节点协同侦听机制,减小信道冲突与“聋终端”的影响。理论与实验结果表明,与传统的认知无线网络MAC层协议相比,提出的接入方案数据传输延迟更短,同时在授权信道空闲率较大时吞吐量性能略优。     

多天线感知无线电中的协作频谱感知算法

不同于以往单天线感知用户的频谱感知研究,该文提出多天线情形下基于最优功率分配和协作分集的频谱感知算法。根据信道条件利用奇异值分解(SVD)在每根天线上进行功率注水,并考虑多天线情况下两用户网络协作频谱感知授权用户的判决检测过程,利用基于指数衰减的路径损耗模型,分析多天线感知网络的各态历经容量和检测授权用户的概率及时间。理论分析及仿真结果表明,多天线感知用户通过最优功率分配和协作频谱感知不仅使感知网络具有最大的各态历经容量,同时改善系统的检测性能。     

基于删除的协作频谱感知分析与优化

能量消耗是协作频谱感知中一个需要重点考虑的问题。为了降低信息上传能耗以延长认知无线网络中能量受限次用户的寿命,该文提出一种新的基于删除的协作频谱感知方案,其核心思想是各次用户仅当感知结果与其前一次不同时才向融合中心发送一个指示信号,否则不发送。对比分析了该方案中的上传能耗问题,并以保证主用户利益为约束条件,给出了频谱感知周期和能量检测门限的优化过程。理论分析和仿真结果表明,相比现有研究,提出的方案可以有效降低次用户的上传能耗而不带来任何感知性能的损失。     

Chirp‐Based Cognitive Ultra‐wideband Radio

In this letter, we propose a cognitive ultra‐wideband radio scheme which is based on a modified chirp waveform. Therefore, it requires only time domain processing in the cognitive radio systems and reduces system complexity and power consumption.     

无线物联网中的频谱感知模型研究

In the last few years, the number of devices operating in wireless Internet of Things (IoT) has experienced tremendous growth. On the other hand, the growth results in spectrum scarcity. Cognitive Radio (CR) systems have been proposed to efficiently exploit the spectra that have been assigned but are underutilized. In this paper, a spectrum sensing model based on Markov chain is proposed to predict the spectrum hole for CR in wireless IoT. Theoretical analysis and simulation results have been evaluated that a Markov model with two-state or four-state works well enough in wireless IoT whereas a model with more states is not necessary for it is complex.