Femtocell在中小企业的应用

主要探讨Femtocell在3G时代的价值,分析Femtocell在中小企业的应用,以及其在满足中小企业应用所应进一步增强的各种能力建设。     

TD-SCDMA系统业务分析功能的探讨及实现

本文在解码的基础上,结合协议统计功能,完成了TD-SCDMA系统业务分析功能的设计.此功能针对TD-SCDMA系统中接口协议栈的特点,从接口的信令中提取无线网络层中分别与无线资源管理有关的、与移动管理有关的和与呼叫管理有关的参数.对这些网络参数进行统计处理后,得到基站子系统的完备的统计数据.这些数据对制定无线网络资源优化措施提供数据支持,有利于解决网络优化工作中网络覆盖,信道拥塞,无线参数设置不合理等问题.     

固结磨料抛光K9光学玻璃的工艺实验研究

采用一种亲水性固结磨料抛光垫(FAP),通过单因素实验法,系统地研究了抛光K9光学玻璃过程中抛光时间、偏心距、压力、转速、抛光液流量及pH值等工艺参数对材料去除速率(MRR)和表面粗糙度的影响规律,并对实验结果进行了解释。结果表明:随着抛光时间的延长,K9光学玻璃的MRR逐渐呈下降趋势;在抛光20min时,MRR达最大值310nm/min,且表面粗糙度降至最低值为2.73nm;选择较大的偏心距和碱性抛光液环境均有利于提高MRR;随着抛光盘转速的升高,MRR将显著增大。而在一定范围内,抛光压力和抛光液流量对MRR的影响不大。     

基于合作中继的OFDM蜂窝网络的QoS感知资源调度算法

针对基于中继的OFDM蜂窝网络,该文考虑具有不同QoS要求的混合业务场景,引入合作传输机制,提出了一种基于合作中继的QoS感知资源调度算法,解决了合作中继节点选取,子载波分配以及功率控制等问题。以最大化系统效用为目标,在考虑QoS业务的速率要求与基站功率约束的同时,针对中继结构引入了中继节点的功率约束。为降低计算复杂度,将原非线性组合优化问题分解为子载波分配与功率控制两个子问题。仿真结果表明,该文所提算法在能量节约、系统效用,吞吐量等性能方面都有显著优势。     

基于RFC 2544的以太网性能测试软件设计

针对RFC 2544标准的工程应用,设计了一种Win CE系统平台下的以太网性能测试软件方案,在此基础上详细讨论了包括以太网帧的构造、软硬件交互、数据管理和绘图操作在内的核心功能模块的实现方法.测试结果表明,该软件在硬件平台上运行稳定,功能执行正确,其代码具有较好的健壮性、有效性和可扩展性.     

Semidefinite programming relaxation approach for multiuser detection of QAM signals

A semidefinite programming (SDP) relaxation approach is proposed to solve multiuser detection problems in systems with M-ary quadrature amplitude modulation (M-QAM). In the proposed approach, the optimal M-ary maximum likelihood (ML) detection is carried out by converting the associated M-ary integer programming problem into a binary integer programming problem. Then a relaxation approach is adopted to convert the binary integer programming problem into an SDP problem. This relaxation process leads to a detector of much reduced complexity. A multistage approach is then proposed to improve the performance of the SDP relaxation based detectors. Computer simulations demonstrate that the symbol-error rate (SER) performance offered by the proposed multistage SDP relaxation based detectors outperforms that of several existing suboptimal detectors.     

Phase Engineering of Nickel Sulfides to Boost Sodium- and Potassium-Ion Storage Performance

Sulfides are promising anode candidates because of their relatively large theoretical discharge/charge specific capacity and pretty small volume changes, but suffers from sluggish kinetics and structural instability upon cycling. Phase engineering can be designed to overcome the weakness of the electrochemical performance of sulfide anodes. By choosing nickel sulfides (α-NiS, β-NiS, and NiS₂) supported by reduced graphene oxide (rGO) as model systems, it is demonstrated that the nickel sulfides with different crystal structures show different performances in both sodium-ion and potassium-ion batteries. In particular, the α-NiS/rGO display superior stable capacity (≈426 mAh g⁻¹ for 500 cycles at 500 mA g⁻¹) and exceptional rate capability (315 mAh g⁻¹ at 2000 mA g⁻¹). The combined density functional theory calculations and experimental studies reveal that the hexagonal structure is more conducive to ion absorption and conduction, a higher pseudocapacitive contribution, and higher mechanical ability to relieve the stress caused by the volume changes. Correspondingly, the phase engineered nickel sulfide coupled with the conducting rGO network synergistically boosts the electrochemical performance of batteries. This work sheds light on the use of phase engineering as an essential strategy for exploring materials with satisfactory electrochemical performance for sodium-ion and potassium-ion batteries.     

RFID-based 3D human pose tracking: A subject generalization approach

Three-dimensional (3D) human pose tracking has recently attracted more and more attention in the computer vision field. Real-time pose tracking is highly useful in various domains such as video surveillance, somatosensory games, and human-computer interaction. However, vision-based pose tracking techniques usually raise privacy concerns, making human pose tracking without vision data usage an important problem. Thus, we propose using Radio Frequency Identification (RFID) as a pose tracking technique via a low-cost wearable sensing device. Although our prior work illustrated how deep learning could transfer RFID data into real-time human poses, generalization for different subjects remains challenging. This paper proposes a subject-adaptive technique to address this generalization problem. In the proposed system, termed Cycle-Pose, we leverage a cross-skeleton learning structure to improve the adaptability of the deep learning model to different human skeletons. Moreover, our novel cycle kinematic network is proposed for unpaired RFID and labeled pose data from different subjects. The Cycle-Pose system is implemented and evaluated by comparing its prototype with a traditional RFID pose tracking system. The experimental results demonstrate that Cycle-Pose can achieve lower estimation error and better subject generalization than the traditional system.     

激光加中药治疗小儿慢性扁桃体炎临床疗效观察

临床观察激光穴位照射加中药治疗小儿慢性扁桃体炎40例，发现在改善临床症症状及体征方面优于西药阿莫西林对照组，因此有效率明显高于西药组，说明He-Ne激光与中药治疗慢性扁桃体炎为一种有效的治疗方法。