子载波间隔自适应OFDM系统研究

随着无线电技术的发展,对正交频分复用系统的频谱效率要求越来越高,子载波间隔是影响系统频谱效率的主要因素.本文推导出了时变频率选择性信道下OFDM系统容量表达式,然后分析了子载波间隔对OFDM系统频谱效率的影响,提出了子载波间隔自适应以最大化频谱效率的方法,仿真结果证明此类自适应技术能大幅提高OFDM系统的频谱效率.     

900MHz CMOS锁相环/频率综合器

采用TSMC 0 .2 5μm CMOS技术设计实现了高速低功耗光纤通信用限幅放大器.该放大器采用有源电感负载技术和放大器直接耦合技术以提高增益,拓展带宽,降低功耗并保持了良好的噪声性能.电路采用3.3V单电源供电,电路增益可达5 0 d B,输入动态范围小于5 m Vpp,最高工作速率可达7Gb/ s,均方根抖动小于0 .0 3UI.此外核心电路功耗小于4 0 m W,芯片面积仅为0 .70 mm×0 .70 m m.可满足2 .5 ,3.12 5和5 Gb/ s三个速率级的光纤通信系统的要求.     

GaN基HEMT微加速度计的压阻系数测试

介绍了GaN基HEMT微加速度计结构的设计、加工及测试过程,并对结果做出了分析。通过喇曼测试与ANSYS仿真软件相结合的方式进行应力测试分析,利用安捷伦4156C测试仪对GaN基HEMT进行不同应力状态及不同温度下IDS-VDS特性测试,并通过相关测试数据计算分析GaN基HEMT的压阻系数及其变化规律。结果表明:常温下GaN基HEMT的等效压阻系数为(2.47±0.04)×10-9Pa-1,高于Si的压阻系数(7.23±3.62)×10-10Pa-1。同时测试了HEMT在-40~50℃的输出特性,实验结果表明,HEMT饱和源漏电流随着温度的升高而下降。压阻系数具有负温度系数,且压阻系数随着温度的升高以226TPa-1/℃的速率减小。     

Superconvergence of local discontinuous Galerkin methods with generalized alternating fluxes for 1D linear convection-diffusion equations

This paper investigates superconvergence properties of the local discontinuous Galerkin methods with generalized alternating fluxes for one-dimensional linear convection-diffusion equations. By the technique of constructing some special correction functions, we prove the(2k + 1)-th-order superconvergence for the cell averages, and the numerical traces in the discrete L~2 norm. In addition, superconvergence of orders k + 2 and k + 1 is obtained for the error and its derivative at generalized Radau points. All the theoretical findings are confirmed by numerical experiments.     

Dielectric Properties Investigation of Metal–Insulator–Metal (MIM) Capacitors

This study presents the construction and dielectric properties investigation of atomic-layer-deposition Al₂O₃/TiO₂/HfO₂ dielectric-film-based metal–insulator–metal (MIM) capacitors. The influence of the dielectric layer material and thickness on the performance of MIM capacitors are also systematically investigated. The morphology and surface roughness of dielectric films for different materials and thicknesses are analyzed via atomic force microscopy (AFM). Among them, the 25 nm Al₂O₃-based dielectric capacitor exhibits superior comprehensive electrical performance, including a high capacitance density of 7.89 fF·µm⁻², desirable breakdown voltage and leakage current of about 12 V and 1.4 × 10⁻¹⁰ A·cm⁻², and quadratic voltage coefficient of 303.6 ppm·V⁻². Simultaneously, the fabricated capacitor indicates desirable stability in terms of frequency and bias voltage (at 1 MHz), with the corresponding slight capacitance density variation of about 0.52 fF·µm⁻² and 0.25 fF·µm⁻². Furthermore, the mechanism of the variation in capacitance density and leakage current might be attributed to the Poole–Frenkel emission and charge-trapping effect of the high-k materials. All these results indicate potential applications in integrated passive devices.     

Repurposing of intestinal defensins as multi-target,dual-function amyloid inhibitors via cross-seeding

Amyloid formation and microbial infection are the two common pathological causes of neurogenerative diseases, including Alzheimer''s disease (AD), type II diabetes (T2D), and medullary thyroid carcinoma (MTC). While significant efforts have been made to develop different prevention strategies and preclinical hits for these diseases, conventional design strategies of amyloid inhibitors are mostly limited to either a single prevention mechanism (amyloid cascade vs. microbial infection) or a single amyloid protein (Aβ, hIAPP, or hCT), which has prevented the launch of any successful drug on the market. Here, we propose and demonstrate a new “anti-amyloid and anti-bacteria” strategy to repurpose two intestinal defensins, human α-defensin 6 (HD-6) and human β-defensin 1 (HBD-1), as multiple-target, dual-function, amyloid inhibitors. Both HD-6 and HBD-1 can cross-seed with three amyloid peptides, Aβ (associated with AD), hIAPP (associated with T2D), and hCT (associated with MTC), to prevent their aggregation towards amyloid fibrils from monomers and oligomers, rescue SH-SY5Y and RIN-m5F cells from amyloid-induced cytotoxicity, and retain their original antimicrobial activity against four common bacterial strains at sub-stoichiometric concentrations. Such sequence-independent anti-amyloid and anti-bacterial functions of intestinal defensins mainly stem from their cross-interactions with amyloid proteins through amyloid-like mimicry of β-sheet associations. In a broader view, this work provides a new out-of-the-box thinking to search and repurpose a huge source of antimicrobial peptides as amyloid inhibitors, allowing the blocking of the two interlinked pathological pathways and bidirectional communication between the central nervous system and intestines via the gut–brain axis associated with neurodegenerative diseases.

Amyloid formation and microbial infection are the two common pathological causes of neurogenerative diseases. Here, we proposed a new “anti-amyloid and anti-bacteria” strategy to repurpose two intestinal defensins as multiple-target, dual-function amyloid inhibitors.     

Improved Stretchable and Sensitive Fe Nanowire-Based Strain Sensor by Optimizing Areal Density of Nanowire Network

Flexible strain sensors, when considering high sensitivity and a large strain range, have become a key requirement for current robotic applications. However, it is still a thorny issue to take both factors into consideration at the same time. Here, we report a sandwich-structured strain sensor based on Fe nanowires (Fe NWs) that has a high GF (37–53) while taking into account a large strain range (15–57.5%), low hysteresis (2.45%), stability, and low cost with an areal density of Fe NWs of 4.4 mg/cm². Additionally, the relationship between the contact point of the conductive network, the output resistance, and the areal density of the sensing unit is analyzed. Microscopically, the contact points of the conductive network directly affect the sensor output resistance distribution, thereby affecting the gauge factor (GF) of the sensor. Macroscopically, the areal density and the output resistivity of the strain sensor have the opposite percolation theory, which affects its linearity performance. At the same time, there is a positive correlation between the areal density and the contact point: when the stretching amount is constant, it theoretically shows that the areal density affects the GF. When the areal density reaches this percolation threshold range, the sensing performance is the best. This will lay the foundation for rapid applications in wearable robots.     

基于ATP系统的非机动目标跟踪实验

考虑到无线光通信的捕获、瞄准和跟踪(ATP)系统对信标光斑实时、准确跟踪的需求,采用具有高频、大幅度补偿能力的音圈电机作为精跟踪执行部件,以此搭建了基于PC机控制的无线光通信演示实验系统。进行了不同速度下的非机动模拟跟踪实验,分别采集、分析并评价了粗跟踪和精跟踪的跟踪误差,并实时采集了通信光光功率。实验结果表明:ATP系统的跟踪误差标准差随着模拟目标运动速度的增加而增大,误差变化范围却无较为明显的规律,系统可长时间保持通信链路;此外,粗跟踪误差曲线中多次出现的误差尖峰可能与粗大值有关。     

基于Wi-Fi无线网络的智能标签系统

针对超市、商场等地对纸质的标签的管理混乱、更新不便、耗费人力等缺点,本文设计了一种基于Wi-Fi无线网络的智能便签系统.系统采用Wi-Fi无线网络实现智能标签与控制终端的通信,用以对智能标签的商品名称、商品ID、商品价格等数据的传输;使用Android Studio作为开发工具开发了一款搭载在Android移动设备上的智能标签的管理App,该软件使用Android内置的数据库进行商品的数据管理,可实现显示商品信息以及对商品智能标签的修改,操作人员可以通过移动终端使用该软件对智能标签进行实时监测和远程管理.本系统降低了传统纸质标签信息更新的时间花费以及人力成本,使得商品标签管理更高效更方便.     

Differential privacy protection scheme based on edge betweenness model

With the continuous development of social network application,user’s personal social data is so sensitive that the problem of privacy protection needs to be solved urgently.In order to reduce the network data sensitivity,a differential privacy protection scheme BCPA based on edge betweenness model was proposed.The 2K sequence corresponding to the graph structure based on the dK model was captured,and 2K sequences based on the edge betweenness centrality were reordered.According to the result of reordering,the 2K sequence was grouped into several sub-sequences,and each sub-sequence was respectively added with noise by a dK perturbation algorithm.Finally,a social network graph satisfying differential privacy was generated according to the new 2K sequences after integration.Based on the real datasets,the scheme was compared with the classical schemes through simulation experiments.The results demonstrate that it improves the accuracy and usability of data while ensuring desired privacy protection level.