S3C44B0X的网络通信功能开发与实现

为进行S3C44B0X的网络通信,基于uClinux操作系统,从硬件设计和软件开发两方面对其进行了开发。采用RTL8201设计完成以太网接口电路,在分析uClinux的传输控制协议/网际协议（TCP/IP）协议栈的基础上,采用Socket函数实现S3C44B0X的网络通信功能。经过测试,S3C44B0X可以作为客户端与其他网络设备进行通信,实现其网络通信功能。     

烧结气氛对X8R陶瓷材料结构与性能的影响

研究了Yb/Mg受主离子协同掺杂对BaTiO3陶瓷材料分别在空气、还原性气氛中,以及热处理过后的结构与性能的影响。X-射线衍射(XRD)分析表明,还原性气氛烧结抑制了受主离子在BaTiO3中的固溶度,使材料出现第二相Yb2Ti2O7。差热扫描热分析(DSC)测量图谱表明,过量的Yb掺杂破坏了陶瓷的壳-芯结构。在不同的气氛烧结条件下,通过适当调整Yb/Mg掺杂量,可获得既适用于Pd/Ag内电极又适用于Ni内电极且满足在-55~ 150℃范围内,容量随温度的变化率满足±15%内(X8R)特性要求的多层陶瓷电容器(MLCC)介质材料。     

基于ARM-μClinux的无线家庭网关设计

本文介绍了ARM7TDMI内核的微处理器S3C44B0X在无线家庭网关设计中的应用,无线家庭网关硬件结构的组成和设计,以及基于μClinux操作系统的家庭网关应用程序的开发。     

Pixel‐Structured Scintillator with Polymeric Microstructures for X‐Ray Image Sensors

We introduce a pixel‐structured scintillator realized on a flexible polymeric substrate and demonstrate its feasibility as an X‐ray converter when it is coupled to photosensitive elements. The sample was prepared by filling Gd₂O₂S:Tb scintillation material into a square‐pore‐shape cavity array fabricated with polyethylene. For comparison, a sample with the conventional continuous geometry was also prepared. Although the pixelated geometry showed X‐ray sensitivity of about 58% compared with the conventional geometry, the resolving power was improved by about 70% above a spatial frequency of 3 mm^?1. The spatial frequency at 10% of the modulation‐transfer function was about 6 mm^?1.     

Rate-distortion-complexity optimization for x265

Rate-distortion optimization (RDO) is conventionally based on the analysis of rate-distortion (R-D) curve to minimize the coding distortion under the coding bits constraint. However, it is necessary to consider the computational complexity in the RDO process. In this paper, we obtain the Confidence LEvel - Computational complexity (CLEC) curves which indicate the characteristics of coding tree units (CTUs). Based on the CLEC curves, a rate-distortion-complexity optimization (RDCO) algorithm is proposed to optimize R-D under given computational complexity and achieve the optimal coding performance for x265. Experimental results demonstrate that the proposed algorithm can achieve a wide range of encoding speed under a given quantization parameter (QP) whereas the original x265 can only achieve a few fixed encoding speeds, and the proposed algorithm can reduce the BD-rate and increase the BD-PSNR by 6.59% and 0.13 dB on average under the same requirements of encoding speeds as the original x265.     

Impact of the Solvation State of Lead Iodide on Its Two‐Step Conversion to MAPbI3: An In Situ Investigation

Producing high efficiency solar cells without high‐temperature processing or use of additives still remains a challenge with the two‐step process. Here, the solution processing of MAPbI₃ from PbI₂ films in N,N‐dimethylformamide (DMF) is investigated. In‐situ grazing incidence wide‐angle X‐ray scattering (GIWAXS) measurements reveal a sol–gel process involving three PbI₂‐DMF solvate complexes—disordered (P₀) and ordered (P₁, P₂)—prior to PbI₂ formation. When the appropriate solvated state of PbI₂ is exposed to MAI (methylammonium Iodide), it can lead to rapid and complete room temperature conversion into MAPbI₃ with higher quality films and improved solar cell performance. Complementary in‐situ optical reflectance, absorbance, and quartz crystal microbalance with dissipation (QCM‐D) measurements show that dry PbI₂ can take up only one third of the MAI taken up by the solvated‐crystalline P₂ phase of PbI₂, requiring additional annealing and yet still underperforming. The perovskite solar cells fabricated from the ordered P₂ precursor show higher power conversion efficiency (PCE) and reproducibility than devices fabricated from other cases. The average PCE of the solar cells is greatly improved from 13.2(±0.53)% (from annealed PbI₂) to 15.7(±0.35)% (from P₂) reaching up to 16.2%. This work demonstrates the importance of controlling the solvation of PbI₂ as an effective strategy for the growth of high‐quality perovskite films and their application in high efficiency and reproducible solar cells.     

Solvent‐Induced Morphology in Polymer‐Based Systems for Organic Photovoltaics

Studies on the influence of four different solvents on the morphology and photovoltaic performance of bulk‐heterojunction films made of poly(3‐hexylthiophene) (P3HT) and [6,6]‐phenyl‐C₆₁ butyric acid methyl ester (PCBM) via spin‐coating for photovoltaic applications are reported. Solvent‐dependent PCBM cluster formation and P3HT crystallization during thermal annealing are investigated with optical microscopy and grazing‐incidence wide‐angle X‐ray scattering (GIWAXS) and are found to be insufficient to explain the differences in device performance. A combination of atomic force microscopy (AFM), X‐ray reflectivity (XRR), and grazing‐incidence small‐angle X‐ray scattering (GISAXS) investigations results in detailed knowledge of the inner film morphology of P3HT:PCBM films. Vertical and lateral phase separation occurs during spin‐coating and annealing, depending on the solvent used. The findings are summarized in schematics and compared with the IV characteristics. The main influence on the photovoltaic performance arises from the vertical material composition and the existence of lateral phase separation fitting to the exciton diffusion length. Absorption and photoluminescence measurements complement the structural analysis.     

一种新的排队系统在CDMA20001X数据业务吞吐量优化中的应用——M／M／m变速率自适应优先服务排队系统

文章通过对cDMA20001×数据吞吐量相关理论的研究,综合了基于用户数呼叫准入控制与基于干扰呼叫准入控制的优点,对M／M／m排队系统进行了修正,提出了新的M／M／m变速率自适应优先服务排队系统（M／M／m／VRAP）模型,并从模型的基本原理和系统性能两方面进行了详细分析。该模型可大大提高CDMA20001X数据业务物理层的吞吐量。     

利用Tcl/Tk实现XWindow下的GUI

文章在分析Ｔｃｌ／Ｔｋ特点的基础上,详细介绍了如何利用Ｔｃｌ／Ｔｋ开发ＸＷｉｎｄｏｗ系统下的ＧＵＩ应用及Ｔｃｌ／Ｔｋ与Ｃ的接口问题。探讨了用户如何利用Ｔｃｌ／Ｔｋ已有的资源创建新的Ｗｉｄｇｅｔ,以满足用户的特殊要求。     

Machine learning in vehicular networking: An overview

As vehicle complexity and road congestion increase, combined with the emergence of electric vehicles, the need for intelligent transportation systems to improve on-road safety and transportation efficiency using vehicular networks has become essential. The evolution of high mobility wireless networks will provide improved support for connected vehicles through highly dynamic heterogeneous networks. Particularly, 5G deployment introduces new features and technologies that enable operators to capitalize on emerging infrastructure capabilities. Machine Learning (ML), a powerful methodology for adaptive and predictive system development, has emerged in both vehicular and conventional wireless networks. Adopting data-centric methods enables ML to address highly dynamic vehicular network issues faced by conventional solutions, such as traditional control loop design and optimization techniques. This article provides a short survey of ML applications in vehicular networks from the networking aspect. Research topics covered in this article include network control containing handover management and routing decision making, resource management, and energy efficiency in vehicular networks. The findings of this paper suggest more attention should be paid to network forming/deforming decision making. ML applications in vehicular networks should focus on researching multi-agent cooperated oriented methods and overall complexity reduction while utilizing enabling technologies, such as mobile edge computing for real-world deployment. Research datasets, simulation environment standardization, and method interpretability also require more research attention.