基于GSPN方法的柔性制造系统过程模型和性能分析

应用广义随机Petri网方法,对柔性制造系统进行建模和分析,提出了控制策略和优化方法.针对柔性制造系统的离散性,对整个系统的过程模型进行分析.利用广义随机Petri网结合马尔可夫链的方法,确立了系统的配置参数,得出了系统的平均运行时间,机床的平均使用率,系统的生产率,故障概率,对系统的优化和生产效率的提高以及柔性的提高提供了理论支持.最后,通过柔性制造系统实例,对该方法进行了检验.     

航天器及部位投影形状不确定性的建模与仿真

在未来空间作战中,航天器将成为重要的作战装备,同时也将是敌对双方重点打击的对象.通过投影形状确定航天器类型或者航天器毁伤部位的毁伤度,可以为及时采取相应的措施提供决策依据.结合航天器的三维空间实体描述,给出了航天器投影多边形的误差带模型以及航天器毁伤部位投影多边形的面积误差模型.通过实例仿真分析得出,通过构建航天器及其毁伤部位多方位投影形状数据库,建立多边形面元不确定性模型,结合先进的计算机技术和人工智能技术,确定航天器类型及其可能毁伤部位的毁伤度是可行的.     

商空间的基

通过引入一个熟知的线性空间作桥梁，揭示了商空闻R^n／S基与矩阵A之间的关系。     

Finding finer functions for partially characterized proteins by protein-protein interaction networks

Based on high-throughput data, numerous algorithms have been designed to find functions of novel proteins. However, the effectiveness of such algorithms is currently limited by some fundamental factors, including (1) the low a-priori probability of novel proteins participating in a detailed function; (2) the huge false data present in high-throughput datasets; (3) the incomplete data coverage of functional classes; (4) the abundant but heterogeneous negative samples for training the algorithms; and (5) the lack of detailed functional knowledge for training algorithms. Here, for partially characterized proteins, we suggest an approach to finding their finer functions based on protein interaction sub-networks or gene expression patterns, defined in function-specific subspaces. The proposed approach can lessen the above-mentioned problems by properly defining the prediction range and functionally filtering the noisy data, and thus can efficiently find proteins’ novel functions. For thousands of yeast and human proteins partially characterized, it is able to reliably find their finer functions (e.g., the translational functions) with more than 90% precision. The predicted finer functions are highly valuable both for guiding the follow-up wet-lab validation and for providing the necessary data for training algorithms to learn other proteins.     

The controlling factors and distribution prediction of H2S formation in marine carbonate gas reservoir, China

Generally, there are some anhydrites in carbonate reservoir, as H2S is also familiar in carbonate oil and gas reservoirs. Nowadays, natural gas with high H2S concentration is usually considered as TSR origin, so there is close relationship between H2S and anhydrite. On the contrary, some carbonate rocks with anhydrite do not contain H2S. Recently, researches show that H2S is only a necessary condition of H2S formation. The reservoir porosity, sulfate ion content within formation water, reservoir temperature, oil/gas and water interface, hydrocarbon and some elements of reservoir rock have great controlling effects on the TSR occurrence. TSR deoxidizes hydrocarbon into the acidic gas such as H2S and CO2, and the H2S formation is controlled by TSR occurrence, so the relationship among reaction room, the contact chance of sulfate ion and hydrocarbon, the reservoir temperature has great influence on the TSR reaction. H2S has relatively active chemical quality, so it is still controlled by the content of heavy metal ion. Good conditions of TSR reaction and H2S preservation are the prerequisite of H2S distribu- tion prediction. This paper builds a predictive model based on the characteristic of natural gas reservoir with high H2S-bearing. In the porosity reservoir with anhydrite, the formation water is rich in sulfate and poor in heavy metal ion. Oil and gas fill and accumulate in the gas reservoir with good preservation conditions, and they suffered high temperature later, which indicates the profitable area of natural gas with high H2S-bearing.     

绿洲-荒漠生态系统演化因素及其非线性探讨——以新疆为例

对立统一于干旱区的绿洲—荒漠生态系统在降水等自然因素和人类活动等人为因素的影响下不断进行着演化.从长期看,这一演化过程具有不可预测性,短期内却有细微可预见性.现如今在绿洲扩展同时,荒漠也在扩展,整体趋势仍是荒漠在扩展.为维持绿洲的稳定性,促使绿洲—荒漠系统处于一种稳定的发展趋势,本文从分析绿洲-荒漠这对对立统一的生态系统入手,在探讨引起这对生态系统演化的自然因素和人为因素的基础上,确定了自然因素中的降水和人为因素中的政府调控行为为演化的主导因素,初步探索了促使这对生态系统统演化的主导因素作用所具有的非线性关系,这对维持绿洲的稳定性,抑制荒漠扩展有一定的实际意义.     

北桥设计中的总线周期精确事务级建模

总线周期精确事务级建模能解决系统设计中的仿真精度和速度之间的矛盾。以北桥中的总线设计为背景,采用SystemC中接口方法调用的原理,实现了对Wishbone总线的周期精确事物级建模,并给出了具体的实现方法和测试方法,具有一定的通用性。     

论山西民营企业品牌塑造与价值提升

指出山西民营企业品牌塑造与价值提升是山西民营企业发展以及山西经济发展的需要,并从多方面探讨了这种需要的有利之处。     

神经网络在可靠性分析中的应用

应用人工神经网络对舰炮发生故障的发射炮弹数进行了预测。借助前馈神经网络对非线性函数的逼近能力，对发生故障的发射炮弹数进行了单步预测，并与使用灰色数列预测的结果进行了对比，验证了人工神经网络进行可靠性预测的可行性。