气球天文观测计算机测控系统设计

球栽STD总线数据采集与控制系统是为气球X射线天文观测研制的新一代计算机控制系统。它采用了多项新技术与新方法,是一个模块化的多CPU多任务并行处理系统。本文详细描述了它的结构和各种工作组态,并给出了地面实测结果。     

Health Seeking Behavior: Q‐Structures of Rural and Urban Women in India with Sexually Transmitted Diseases and Reproductive Tract Infections

I use a gender framework to examine why women need to utilize social networks to discover and resolve problems related to reproductive tract infections (RTI) and sexually transmitted diseases (STDs). In India, women's health is linked with social status and perception of their health needs. This paper provides insight on how social networks are gender‐, location‐, and context‐specific and how they are linked to STD issues. This paper examines why social networks are integral to women. The health‐seeking behavior of rural and urban casual sex workers is examined via Q‐analysis, a language of mapping relationships. Results from Q‐analysis reveal women's use of four systems—kinship, belief, traditional medical, and western medical services. Finally, I conclude with important implications for research on gender relations and social networks.     

一种利用MCS—8098单片机实现STD工控总线的方法

阐述了以MCS－8098单片机为处理机实现STD工控总线的方法，给出了8098单片机的最小系统配置，选择不同的标准功能模板及少量特殊电路，就可以构成不同的实时控制系统。     

A hybrid method for optimization of the adaptive Goldstein filter

The Goldstein filter is a well-known filter for interferometric filtering in the frequency domain. The main parameter of this filter, alpha, is set as a power of the filtering function. Depending on it, considered areas are strongly or weakly filtered. Several variants have been developed to adaptively determine alpha using different indicators such as the coherence, and phase standard deviation. The common objective of these methods is to prevent areas with low noise from being over filtered while simultaneously allowing stronger filtering over areas with high noise. However, the estimators of these indicators are biased in the real world and the optimal model to accurately determine the functional relationship between the indicators and alpha is also not clear. As a result, the filter always under- or over-filters and is rarely correct. The study presented in this paper aims to achieve accurate alpha estimation by correcting the biased estimator using homogeneous pixel selection and bootstrapping algorithms, and by developing an optimal nonlinear model to determine alpha. In addition, an iteration is also merged into the filtering procedure to suppress the high noise over incoherent areas. The experimental results from synthetic and real data show that the new filter works well under a variety of conditions and offers better and more reliable performance when compared to existing approaches.