A multi-channel and multi-user dynamic spectrum access algorithm based on deep reinforcement learning in Cognitive Vehicular Networks with sensing error

In this paper, a spectrum access problem is proposed to improve the spectrum access rates of secondary vehicles in Cognitive Vehicular Networks, where the channel capacity mathematic model is established under the conditions of spectrum sensing errors rates and the dynamic occupancy spectrum rates. Meanwhile, an improved Q-learning method is proposed to conform the dynamic communication under the different conditions of the reward functions. In this function, a Deep Q Network method with a modified reward function (IDQN) is proposed to deal with the situation of multi-vehicle in multi-channel. In order to verify the effectiveness of the IDQN method, the Myopic method, the improved Q-learning method, and the traditional DQN method are compared on Python. The simulation results shown that the proposed IDQN method not only outperforms the compared methods in terms of channel utilization and channel capacity but also improves the ability that the vehicle adapts to the dynamic communication environment.     

Sharp spectral bounds for complex perturbations of the indefinite Laplacian

We derive quantitative bounds for eigenvalues of complex perturbations of the indefinite Laplacian on the real line. Our results substantially improve existing results even for real potentials. For $L^1$-potentials, we obtain optimal spectral enclosures which accommodate also embedded eigenvalues, while our result for $L^p$-potentials yield sharp spectral bounds on the imaginary parts of eigenvalues of the perturbed operator for all $p\in [1,\infty )$. The sharpness of the results are demonstrated by means of explicit examples.     

A polarization insensitive dual-band tunable graphene absorber at the THz frequency

A dual-band and polarization insensitive tunable graphene absorber for THz frequency has been proposed and investigated. The absorber consists of a square graphene ring with a slit at the middle of each side separated from a metallic mirror by a dielectric spacer. Two distinct absorption peaks of 99.87% and 97.82% are observed at 3.92 THz and 6.96 THz, respectively. In addition, the distributions of electric field intensity are also presented for well-recognized the physical origin of such perfect absorption phenomenon. Furthermore, the influence of geometric parameters on the dual-band absorption properties is studied in detail to provide a useful guidance for practical fabrication. The perfect dual-band absorption properties can also be dynamically tuned through the change of the Fermi energy along with large angle insensitivity, both are interesting for real application. The proposed tunable graphene absorber should found potential applications in areas including sensors, modulators, and detectors.     

新型Schiff碱单核及异双核配合物的合成及光谱特征

首次报道了新型Schiff碱配合物--双[N,N'-亚乙基-2,2'-(苯亚甲基)二(3,4-二甲基吡咯-5-醛缩亚胺)]合单金属配合物MH₂L[M=Mn(Ⅱ),Fe(Ⅲ)Cl,Cr(Ⅲ)Cl,Cu(Ⅱ),Co(Ⅱ),Ni(Ⅱ),Zn(Ⅱ)]及异双金属配合物MnML[M=Fe(Ⅲ)Cl,Cr(Ⅲ)Cl,Cu(Ⅱ),Co(Ⅱ),Ni(Ⅱ),Zn(Ⅱ)]的合成方法及光谱特征.     

Cm空间中非线性Lipschitz连续算子的定量性质

在有限维复Banach空间C     

一类柔性臂机器人的稳定性

本文研究了一类柔性臂机器人的控制问题,且柔性臂的弯曲振动与扭转振动的耦合作用表现在边界方程中。本文运用算子谱理论、算子半群理论等,得到系统的主算子生成的C0-半群的具体表示式,并证明了半群的解析性、非紧性及非一致指数稳定性。     

用荧光光谱和共振光散射光谱研究甲硝唑与牛血清白蛋白的相互作用

用荧光光谱和共振光散射光谱对甲硝唑与牛血清白蛋白的作用进行了对比研究, 测定了该反应的结合常数、结合位点数. 探讨了甲硝唑对牛血清白蛋白荧光和共振光散射猝灭的机理． 利用热力学参数确定了分子间的作用力性质；根据非辐射能量转换机制, 确定了甲硝唑-牛血清白蛋白间的结合距离. 采用同步荧光技术考察了甲硝唑对牛血清白蛋白构象的影响．     

决明子复方降脂茶总蒽醌含量测定

以醋酸镁-甲醇液为显色剂,分光光度法测定决明子复方降脂茶中总蒽醌的含量.对照品在3.775-22.65μg/mL范围内,吸光度值与浓度呈良好的线性关系(r=0.9993),回归方程为A=0.01384 0.04794C,样品平均回收率为101.9%,RSD为0.75%(n=6).