动力调谐陀螺仪的瞬态动力学及误差分析

为了建立陀螺仪在过载—振动复合环境下的误差模型,应用有限元分析软件ANSYS,针对某型导弹使用的动力调谐陀螺仪的结构,建立基于具体参数的实体和有限元动力学模型,并开展了陀螺仪的瞬态动力学分析研究,由此计算由于陀螺转子和平衡环的质心偏移造成的陀螺仪漂移误差,得到在过载—振动复合环境下陀螺仪漂移角速度与在过载、振动单一环境下漂移角速度之间的关系。     

一种多路卫星节目转播服务器的设计

在MPEG-2TS流播出服务器和多路数字卫星节目收录服务器的基础上,设计了一种基于实时收录系统的多路卫星节目转播服务器,通过卫星节目收录系统,将收到的多路实时卫星节目在服务器内部进行选择、切换和复用,然后通过ASI接口转发到HFC网络.测试表明转播服务器能够稳定地进行节日转播,节目之间切换流畅.     

3G移动可视电话系统测试方案设计

本文主要设计了开发3G移动可视电话系统过程中,在VT系统设计完成后脱离其它软件模块进行有效测试的几套方案。首先介绍了具有独创性的针对CommDevice的Loopback方案的基本编程思路与部分程序代码,对COITI-H0耐ce以外的模块进行陕速检测;第二套利用简单便捷的VIVA手机＋MD8470A的Loopback方案对手机整体效果进行初步检测;第三套通过VIVA手机到DNA的测试方案复杂但精确性高。本文中设计的各套方案各有优劣,具有可调性高,测试效果好的特点,合理使用各种测试方案,对于提高可视电话开发速度和产品质量都有很大帮助。     

电子战武器装备发展现状与展望

介绍了电子战武器装备在战争中的地位与作用,分析了目前国内外电子战武器装备的发展现状,同时展望了电子战武器装备的发展趋势。     

一种基于模式的集中控制软件架构的设计

为适应各种控制管理类系统的发展,传统的软件设计开发方式已不能满足需求。为此,研究并设计了一种基于模式的集中控制系统软件架构。实际应用结果表明,该软件架构具有较强的可复用性和扩展性。     

一种通用的数据采集系统设计及其FPGA实现

基于多相滤波技术和能量检测方法,完成了一种通用的数据采集系统设计及其FPGA实现,可兼容低速、高速和突发信号的采集。仿真和实测结果表明,该系统满足实际需要。     

Effect of Poly(methacrylic acid) on the Cytokine Level in an In Vivo Tumor Model

Cancer is a leading cause of mortality globally. Despite remarkable improvements in cancer-treatment approaches, disease recurrence and progression remain major obstacles to therapy. While chemotherapy is still a first-line treatment for a variety of cancers, the focus has shifted to the development and application of new approaches to therapy. Nevertheless, the relationship between immune response, neoplastic diseases and treatment efficiency is not fully understood. Therefore, the aim of the study was to investigate the immunopharmacological effects of methacrylic acid homopolymer in an in vivo tumor model. Materials and methods: Monomeric methacrylic acid was used to synthesize polymers. Methacrylic acid was polymerized in dioxane in the presence of 4-Cyano-4-[(dodecylsulfanylthiocarbonyl)sulfanyl]pentanoic acid. To study the molecular weight characteristics of PMAA by GPC, carboxyl groups were preliminarily methylated with diazomethane. An experimental cancer model was obtained by grafting RMK1 breast cancer cells. The serum levels of IL-6, IL-10, IL-17, transforming growth factor β1 (TGF-β1), and tumor necrosis factor α (TNF-α) were measured by ELISA. Results: The effect of PMAA on the serum concentrations of several cytokines was studied upon its single administration to laboratory animals in early neoplastic process. The IL-6, IL-17 and TGF-β1 concentrations were found to change significantly and reach the level observed in intact rats. The IL-10 concentration tended to normalize. Conclusion: The positive results obtained are the basis for further studies on the effect of methacrylic-acid polymers with different molecular-weight characteristics on the neoplastic process.     

An Encryption Algorithm for Region of Interest in Medical DICOM Based on One-Dimensional eλ-cos-cot Map

Today, with the rapid development of the Internet, improving image security becomes more and more important. To improve image encryption efficiency, a novel region of interest (ROI) encryption algorithm based on a chaotic system was proposed. First, a new 1D eλ-cos-cot (1D-ECC) with better chaotic performance than the traditional chaotic system is proposed. Second, the chaotic system is used to generate a plaintext-relate keystream based on the label information of a medical image DICOM (Digital Imaging and Communications in Medicine) file, the medical image is segmented using an adaptive threshold, and the segmented region of interest is encrypted. The encryption process is divided into two stages: scrambling and diffusion. In the scrambling stage, helical scanning and index scrambling are combined to scramble. In the diffusion stage, two-dimensional bi-directional diffusion is adopted, that is, the image is bi-directionally diffused row by column to make image security better. The algorithm offers good encryption speed and security performance, according to simulation results and security analysis.     

Intelligent Fault Diagnosis of Industrial Robot Based on Multiclass Mahalanobis-Taguchi System for Imbalanced Data

One of the biggest challenges for the fault diagnosis research of industrial robots is that the normal data is far more than the fault data; that is, the data is imbalanced. The traditional diagnosis approaches of industrial robots are more biased toward the majority categories, which makes the diagnosis accuracy of the minority categories decrease. To solve the imbalanced problem, the traditional algorithm is improved by using cost-sensitive learning, single-class learning and other approaches. However, these algorithms also have a series of problems. For instance, it is difficult to estimate the true misclassification cost, overfitting, and long computation time. Therefore, a fault diagnosis approach for industrial robots, based on the Multiclass Mahalanobis-Taguchi system (MMTS), is proposed in this article. It can be classified the categories by measuring the deviation degree from the sample to the reference space, which is more suitable for classifying imbalanced data. The accuracy, G-mean and F-measure are used to verify the effectiveness of the proposed approach on an industrial robot platform. The experimental results show that the proposed approach’s accuracy, F-measure and G-mean improves by an average of 20.74%, 12.85% and 21.68%, compared with the other five traditional approaches when the imbalance ratio is 9. With the increase in the imbalance ratio, the proposed approach has better stability than the traditional algorithms.     

多旋翼无人机任务系统

随着我国科学技术的不断完善,无人飞行载具,也受到了广泛的重视和应用,目前以应用到航空摄影、灾情监视、交通巡逻、治安监控等领域,随着市场应用趋势不断的发展,对于无人机的自动控制技术,提出了更多的要求,对此本文就无人多旋翼任务系统,结合其无人机定义,以及技术创新点等进行分析,希望对于我国多旋翼无人机市场的稳定发展,奠定良好的基础。