离子自拆分法合成D-(一)-对羟基苯甘氨酸

研究了用离子自拆分方法拆分外消旋对羟基苯甘氨酸(DL-HPG)而合成D-(—)-对羟基苯甘氨酸(D-HPG)。采用正交试验确定了最佳反应条件:在丙酮和水的混合溶剂中,等物质的量的DL-HPG和硫酸在60℃下加入D-HPG,搅拌反应15min左右,降温过滤得到D-HPG的硫酸盐,水解即可得到D-HPG(光学纯度99％),一次性总收率达到20％。适于工业生产。     

激光遥感图像高速滤波器算法的FPGA实现

针对激光遥感信号高速高精度的要求,利用FPGA的多任务、高速并行性设计系统进行滤波。考虑到激光光电传感器设计的滤波器会有很大的信号衰减,且具有精度要求高的特点,提出了基于 FPGA内部基本逻辑单元、乘法器、存储器,经过乘法分解和时序设计,实现具有可移植性的图像高速分辨的方法。系统采用FPGA设计平台,并用Verilog语言设计程序。试验结果验证,该滤波器对激光遥感信号具有高速、精确滤波功能,同时表明利用低端FPGA设计激光滤波器必将成为未来发展趋势。     

Measurement of minimum angle of resolution (MAR) in the stereoscopic display using the optotype of stereoscopic stimuli

In stereoscopic images, the crossing point of the viewing directions of the two eyes determines the perceived depth. Assuming that accommodation is affected by the positions of the crossing point, the effect of crossing point on minimum angle of resolution (MAR) was investigated. For 40 participants, MAR was measured by two‐alternative forced choice where Snellen optotype E of up and down directions were used as two kinds of stimuli. As the crossing point of the viewing direction of the left and right eyes moves farther from the sample display, the ability to identify the direction of letter E decreases at the optotype of the same line thickness. The change of MAR shows linear trends with respect to the optical power change that are the reciprocal of the distance from the participant to the crossing points located out of screen and on screen.     

UNIX主机行为监控系统的设计与实现

该文介绍了Unix主机行为监控系统在大型网络中的应用及作用,并提出了具体的设计方案与实现方法。该系统主要采用透明的方式串接在工作区域和服务器群之间,利用网卡零拷贝的技术保障业务流量不会产生瓶颈,同时利用bypass的技术来保障服务器群的高可用性,既能保证服务器群的安全,又不会给网络带来附加的影响。     

基于SKO—KPCA和SVM的雷达目标HRRP特征提取与识别

将依赖数据变化的自适应SKO技术和迭代算法引入KPCA算法中,结合SVM分类技术,提出了基于SKO—IKPCA和SVM的雷达目标HRRP特征提取与识别方法。讨论了HRRP预处理、迭代KPCA算法和SKO／FKO技术的实现方法,将SKO／FKO技术应用到KPCA的核优化中,并用人工合成数据对其优化性能进行了测试与比较,应用该方法对su-27、F-16及M2000等三类飞机目标的实测HRRP数据进行了特征提取与识别实验。结果表明,所提方法具有较好的稳定性和可靠性,能有效地优化雷达目标主元特征的提取,提高目标的识别性能。     

构建我国法院附设调解制度的理论设想

法院调解制度作为我国民事诉讼中的一项特有制度,在实践中对于及时解决民事纠纷、妥善处理人民内部矛盾、维护社会稳定发挥着积极的作用。但是,随着民事审判方式的改革及群众法治观念的逐渐增强,法院调解制度也显现出诸多的局限性和弊端,严重影响了其积极作用的发挥。以改革现行法院调解制度为契机,构建我国的法院附设调解制度,对于社会的稳定与和谐有着巨大的法律价值和现实意义。     

大港歧北斜坡三维地震深层目标精细处理及地质效果分析

歧北斜坡深层沙二、沙三段发育沿岸滩坝、辫状河水道及斜坡扇沉积体系。储层总体比较发育,但是横向变化大,单层厚度薄。现有地震资料横、纵向上地震分辨率低,无法满足砂体追踪和精细储层预测的要求。通过运用叠前反褶积、静校正、能量调整、叠后提高分辨率等技术,并实施处理解释一体化工作模式,处理质量过程控制等方法,使处理成果地震资料在保持地层波组特征不变的情况下,纵横向分辨率有了较大程度的提高,成像特征有了较大幅度的改善,基本上满足了地质需求。利用新处理的资料,通过井震结合,储层地球物理特征分析,在常规波阻抗反演的基础上,利用拟波阻抗反演的方法预测了沙二、三段各油组砂体的空间展布规律。取得了较好的地质效果。     

高效宽带数字信道化单比特接收机

针对电子战接收机的高效实现结构及高性能指标要求,提出了一种数字信道化单比特接收机方案.从传统STFT算法结构出发,推导出基于WOLA滤波器组的宽带数字信道化接收机高效结构,利用抽取倍数与信道数目无约束关系,在无需数据内插条件下,将单比特接收技术应用于该结构中,克服了宽带单比特接收机动态范围低和信道化接收机频率分辨率有限的缺点.仿真结果表明,该方案提高了信道化接收机的频率分辨率,且硬件实现效率高,运算复杂度低,瞬时动态范围取决于滤波器形状,能够满足电子战的实时性要求.     

一种面向软件产品概念设计的CSCW模型

随着计算机和网络技术的发展,各种CSCW模型和技术先后被提出,来满足各行业产品和概念设计的复杂工作需求。软件产品的概念设计作为一项复杂的工作和业务流程,对CSCW系统的需求也越来越高。文中针对软件产品概念设计的特殊性质,提出一种新的CSCW软件产品概念设计模型,并且对其中包含的冲突检测和协调机制进行了详细的设计和优化。使用基于Java平台的相关技术对模型主要功能架构和冲突协调过程进行了仿真。实验表明,文中提出的模型具有更加简洁和高效的复杂冲突解决能力和用户交互能力。     

Biologically adaptive robust mean shift algorithm with Cauchy predator-prey BBO and space variant resolution for unmanned helicopter formation

Visual tracking technology can provide measurement information for unmanned helicopter formation and thus, more attention is being paid to this research area. We propose a novel mean shift （MS） algorithm that is both adaptive and robust for unmanned helicopter formation and apply it to the leading unmanned helicopter tracking. The movement of an unmanned helicopter is very flexible and changeable, which makes the tracking there of more difficulty than for common targets. In creating an algorithm that can adapt to the acceleration of the unmanned helicopter and estimates both the scale and orientation of the movement changes, we combine the traditional MS with the bio-inspired Cauchy predator-prey biogeography-based optimization （CPPBBO） evolutionary algorithm, and also the space variant resolution （SVR） mechanism of the human visual system （MS-CPPBBO-SVR）. To demonstrate the effectiveness and robustness of the proposed method and justify the importance of the CPPBBO algorithm and SVR mechanism at the same time, a series of comparative exper- iments were carried out. The experimental results of the proposed MS-CPPBBO-SVR method are compared with other competitive tracking methods, such as MS, MS with SVR （MS-SVR）, MS-SVR with several other optimization algorithms, and the robust particle filter algorithm. The experimental results demonstrate that our proposed tracking approach, MS-CPPBBO-SVR, is more adaptive, robust and efficient in target tracking than the other methods.