单、重瓣玉簪花器官分化和花形态学比较研究

以单瓣和重瓣玉簪为试验材料,采用石蜡切片法和显微技术研究了其花器官分化和花形态发育过程的差异,为进一步研究单、重瓣玉簪形成的分子机制奠定形态学基础。结果表明:(1)单瓣花和重瓣花的花芽分化过程均可分形态分化前期、被片原基分化期、雄蕊原基分化期、雌蕊原基分化期4个时期,各轮花器官按照向心顺序发育。(2)单瓣花包含6枚呈两轮排列的花被片、6枚雄蕊和1枚雌蕊,而重瓣花包含6枚呈两轮排列的花被片,6枚由雄蕊同源转化成的被片,中央心皮愈合不完整。     

Resilient BBU placement in 5G C-RAN over optical aggregation networks

Photonic Network Communications - The huge data demand envisioned for the 5G requires radical changes in the mobile network architecture and technology. Centralized radio access network (C-RAN) is...     

一种QPSK-DS信号参数估计方法

基于QPSK-DS信号的结构特征,从直扩通信的基本特征和QPSK-DS信号做平方及延迟相乘处理后所具有的典型特征入手,探寻可实现对QPSK-DS信号参数估计的方法。提出了一种基于时域信号处理与频域特征提取的QPSK-DS通信参数估计方法,该方法通过对接收信号做平方和延迟相乘处理然后搜索特征谱线的方法完成对QPSK-DS扩频参数符号周期和码片时宽的估计。仿真试验表明该方法简单有效,可操作性强。     

Optimization and experimentation of nanoimprint lithography based on FIB fabricated stamp

The maskless and resistless focused ion beam (FIB) fabrication approach to make imprint stamp is straightforward and rapid compared to the traditional electron beam method. FIB etched stamp consisting of grooves was employed to nanoimprint polymer mr-I 9020. Taguchi orthogonal experiment with four parameter elements, one at three levels was used to optimize the experiment parameters by the analysis of means and variances. The most significant factor influencing the height of replicated lines is imprint temperature and the optimal combination of the process parameters are the imprint temperature at 160 °C, imprint force at 1200 N, loading force velocity at 0.2 mm/min, and imprint time at 300 s.     

Deployment of RSS-Based Indoor Positioning Systems

Location estimation based on Received Signal Strength (RSS) is the prevalent method in indoor positioning. For such positioning systems, a massive collection of training samples is needed for their calibration. The accuracy of these methods is directly related to the placement of the reference points and the radio map used to compute the device location. Traditionally, deploying the reference points and building the radio map require human intervention and are extremely time-consuming. In this paper we present an approach to reduce the manual calibration efforts needed to deploy an RSS-based localization system, both when using only one RF technology or when using a combination of RF technologies. It is an automatic approach both to build a radio map in a given workspace by means of a signal propagation model, and to assess the system calibration that best fits the required accuracy by using a multi-objective genetic algorithm.     

Primary User Emulation Detection Algorithm Based on Distributed Sensor Networks

In this paper, we propose a novel primary user emulation (PUE) detection approach which employs a distributed sensor network, where each sensor node operates as an independent PUE detector. Distributed nodes collaborate in order to obtain the final detection results for the whole network. A voting algorithm is used to improve the performance of energy detection, while the classification is conducted by the nearest node in order to improve the efficiency of the detector. As a result of voting, if a potential primary user exists, then the features of the unknown user is compared with entries from the database in order to obtain a solid detection match. An artificial neural network (ANN) is used for the classification of an unknown user. To assess the accuracy of the detection result, we implement a reliability check at the output of ANN. The proposed algorithm is validated via computer simulations as well as by experimental hardware implementations using the Universal Software Radio Peripheral (USRP) software-defined radio (SDR) platform. The experiment results show that the distributed network detector detects the PUE 180–200%, depending on the number of primary users, faster than single node detector.     

A review of industrial wireless networks in the context of Industry 4.0

There have been many recent advances in wireless communication technologies, particularly in the area of wireless sensor networks, which have undergone rapid development and been successfully applied in the consumer electronics market. Therefore, wireless networks (WNs) have been attracting more attention from academic communities and other domains. From an industrial perspective, WNs present many advantages including flexibility, low cost, easy deployment and so on. Therefore, WNs can play a vital role in the Industry 4.0 framework, and can be used for smart factories and intelligent manufacturing systems. In this paper, we present an overview of industrial WNs (IWNs), discuss IWN features and related techniques, and then provide a new architecture based on quality of service and quality of data for IWNs. We also propose some applications for IWNs and IWN standards. Then, we will use a case from our previous achievements to explain how to design an IWN under Industry 4.0. Finally, we highlight some of the design challenges and open issues that still need to be addressed to make IWNs truly ubiquitous for a wide range of applications.     

Effect of amplitude modulation of the CDMA IS-95 signal on SAR measurements

Miniature probes employed for specific absorption rate (SAR) measurements are typically calibrated using a sinusoidal waveform (SW), even though they may be employed to measure a wide variety of communication signals with complex waveforms. This paper shows that the compression produced by the nonlinear response of the probe versus SAR, due to its diode detector, may introduce a significant overestimation of the SAR produced by CDMA IS-95 waveforms when the diode detector operates well into the compression region. This finding is demonstrated theoretically, verified numerically and experimentally, and physically interpreted. The effect is typically small and may be neglected in many practical circumstances involving low-power RF energy emitters, such as mobile phones or two-way dispatch radios.     

LCoS微显的视频解码芯片配置方法设计

AD9883是一款全8位,转换速率最高可达140 MSPS的A/D转换芯片,300 MHz的模拟带宽支持转换图像的分辨率可达SXGA(1 280×1 024@75 Hz),因此在RGB图像处理、LCD监视器、平板显示以及微显示领域都得到了广泛应用。采用有限状态机(Finite state machine,FSM)的方法,基于VerilogHDL模拟I2C通信协议对AD9883进行初始化配置,使其能够适用于LCoS微显示控制电路的A/D转换要求。     

应用于MEMS惯性器件的高精度Σ-△调制器

为了实现微电子机械系统(MEMS)惯性器件的高精度数字化输出,设计了一款单环5阶Σ-△调制器.利用Matlab在系统级完成了Σ-△调制器的结构设计,确定调制器为带有零点优化的级联积分器前馈(CIFF)结构,并在Simulink中完成了调制器非理想模型的建立.在电路设计时,调制器整体采用全差分的开关电容电路来实现.为了降低整体调制器的噪声,在第1级积分器中加入了斩波稳定模块,并采用了具有低回踢噪声的动态比较器作为一位量化器.本设计在0.18 μm BCD工艺下实现,工作电压为5V、采样频率为500 kHz、过采样率为128时,调制器的功耗约为4.25 mW,有效位数为19.06 bit.