Breast Lump Recognition Algorithms Based on Ultrasound Radio-Frequency Signals

A method for evaluating the benign and malignant breast tumors based on radio-frequency(RF)data was explored by extracting the characteristic parameters of breast ultrasound RF signals. The breast biopsy data were used as the reference data for judging the lump benign or malignant. The extracted ultrasound RF data were reconstructed and segmented by computer aided method to obtain the breast tumor region of interest(ROI)and its characteristic parameters(entropy and standard deviation). The characteristic parameters were statistically analyzed to evaluate the relationship between characteristic parameters and benign or malignant breast tumors. The results indicate the entropy and standard deviation of normal region is much higher than that of lump region,which shows that the standard deviation and entropy characteristic parameters of ultrasonic RF signals are meaningful in the diagnosis of breast tumors. The proposed method provides a new direction for computer-aided diagnosis of benign and malignant breast tumors.     

Neural network-based sliding mode control for atmospheric-actuated spacecraft formation using switching strategy

This paper presents an adaptive neural networks-based control method for spacecraft formation with coupled translational and rotational dynamics using only aerodynamic forces. It is assumed that each spacecraft is equipped with several large flat plates. A coupled orbit-attitude dynamic model is considered based on the specific configuration of atmospheric-based actuators. For this model, a neural network-based adaptive sliding mode controller is implemented, accounting for system uncertainties and external perturbations. To avoid invalidation of the neural networks destroying stability of the system, a switching control strategy is proposed which combines an adaptive neural networks controller dominating in its active region and an adaptive sliding mode controller outside the neural active region. An optimal process is developed to determine the control commands for the plates system. The stability of the closed-loop system is proved by a Lyapunov-based method. Comparative results through numerical simulations illustrate the effectiveness of executing attitude control while maintaining the relative motion, and higher control accuracy can be achieved by using the proposed neural-based switching control scheme than using only adaptive sliding mode controller.     

高职语文课程目标生成来源探析

确立高职语文课程目标首先要探讨的问题是课程目标的生成来源问题,指出高职语文课程目标主要会受到四个方面的制约：学生成长需要的直接驱动、语文课程范式的内在促成、高职教育目标的本质牵制、社会发展需要的外围制约。     

直流电弧等离子体炬电极烧蚀特性分析及实验测量

为研究直流电弧等离子体发生器电极烧蚀特性，进而为其寿命评估提供依据，对直流电弧电极烧蚀特性进行了分析，探究电极烧蚀率的主要影响因素并推导了相关准则数。搭建了电极烧蚀实验系统，对钨电极烧蚀特性进行了实验研究。结果表明:在相同输入功率下，电弧放电过程中阴极与阳极的烧蚀率基本相同且不随时间变化，如2.2 kW时，烧蚀率保持13.88 mg/s不变;在实验功率范围内，电极烧蚀率与输入功率近似呈三次函数关系。利用之前推导的准则数，建立了计算烧蚀率的实验关联式。     

论企业门户平台中的单点登录技术

介绍了企业门户平台中的单点登录的概念和实现机制,重点讨论了单点登录的技术实现方式.     

基于Event的垂直碰撞风险改进模型研究

空中交通流量的快速增长,导致空域资源紧张和大量航班延误。使用新航行技术缩小间隔标准可以有效地缓解上述问题。因此,对航路的碰撞风险进行评估具有重要意义。传统Event模型的碰撞模板是一个长方体模板,本文在前人研究的基础上提出了用椭球体代替长方体碰撞模板的思想,并对飞机穿越垂直间隔片的概率重新进行计算。结果表明,在相同条件下改进后的Event碰撞风险模型是原模型碰撞概率的53.38%,改进的碰撞风险评估模型更加精确合理。     

舰艇编队网络化反导作战指挥体系研究

网络中心作战条件下,传统作战指挥体系已经无法满足作战指挥需要,文章从指挥体制和指挥方式两方面探讨了适应舰艇编队网络中心作战模式的新型指挥体系;基于网络中心作战模式下舰艇编队作战指挥特点,分析了传统指挥体制和指挥方式的不足,提出一种由动态网络型指挥体制和动态分权式指挥方式构成的新指挥体系,并分析了其在指挥可靠性、整体性和时效性方面的优势。     

一种基于集成电路的旋翼转速调节器研制

在对直升机旋翼转速调节系统分析研究的基础上,提出了一种基于集成电路设计旋翼转速调节器的总体设计方案,完成了具体电路设计,采用Multisim仿真工具验证了模块电路设计的正确性.实际应用表明,旋翼转速调节器功能完备,各项性能指标满足直升机所提出的性能指标要求,可在直升机上推广使用.