Analysis of cavity-backed aperture antennas with a dielectricoverlay

A full-wave analysis of cavity-backed aperture antennas with a dielectric overlay is presented. The theoretical approach uses a closed-form dyadic Green's function in the spectral domain. The aperture equivalent magnetic currents are obtained using the surface equivalence theorem and an integral equation is obtained by matching the fields across the aperture. The moment method applied in spectral domain analysis is employed to solve the integral equation for the equivalent magnetic currents with proper combination of subdomain or entire domain expansion functions. Numerical results include the aperture field distribution and antenna parameters such as input impedance, bandwidth, and efficiency. A set of measurements data is compared with results based on the theoretical work     

Dynamic asymmetries in disparity convergence eye movements

Vergence eye movements have traditionally been considered the product of a single neural control center and are usually studied by combining the movements of each eye into a single 'vergence' response. In the present experiment, disparity-driven eye movements were produced by symmetrical step stimuli, and the dynamic properties of each eye movement were analyzed separately. Although the final positions of the two eyes were symmetrical, large dynamic asymmetries often occurred. The timing between the two eyes showed fair synchrony as they attained maximum velocity at approximately the same time. Since the final static positions were symmetrical, asymmetries occurring during the initial dynamic component must necessarily be compensated by offsetting asymmetries in the latter portion of the response.     

A process planning strategy for removing an arbitrary profile by hydrodynamic polishing process

A process planning strategy for removing an arbitrary profile by a deterministic polishing process is proposed. This strategy suggested that to remove an arbitrary profile the time-distribution of the tool motion at themachining area can be designed to be a linear function of the profile. Because the area of the instantaneous machining zone is finite and the machining rate distribution at this zone is not uniform, this strategy may cause a difference between the desired and machined profiles. The possible errors are classified into two groups: the machining time-distribution error and the ripple error. It is shown that the machining time-distribution error is significant only at the boundary of the machining area. By increasing the size between two conjoint tool positions, this error can be reduced. The size of the instantaneous machining zone has little effect on this error if the size ratio between this zone and two conjoint tool positions is fixed. On the other hand, the ripple error will occur over the whole machining area. The smaller the distance between two conjoint tool positions, the smaller the ripple error will be. The experimental study indicated that the analytical prediction is correct and an arbitrary profile can be accurately removed according to this proposed strategy.     

Formation of MgAl2O4 in Al2O3-(Al-4wt.%Mg) composites

The Al₂O₃ particles are introduced into the Al-4wt.%Mg melt by the “vortex” method. After being cast, Al₂O₃-(Al-4wt.%Mg) composites are remelted at 700, 750, 800 and 850°C for different residence times to investigate the formation of MgAl₂O₄ (spinel).

The results show that MgAl₂O₄ is the unique interface of the Al₂O₃-(Al---Mg) composites held at 700–850°C. Fine MgAl₂O₄ crystals grow on the surface of the Al₂O₃ particle but, as the holding temperature and the residence time increase, some spinels will form themselves into pyramidal shape. The MgAl₂O₄ grows not only at the matrix-particle interface but also on the surface of the composite specimens. The formation reactions of interfacial MgAl₂O₄ are as follows: Mg(1) + 2Al(1) + 2O₂(g) = MgAl₂O₄(s)3Mg(1) + 4Al₂O₃(s) = 3MgAl₂O₄(s) + 2Al(1) Both of them are equally important.     

Identifying the combination of genetic factors that determine susceptibility to cervical cancer

Cervical cancer is common among women all over the world. Although infection with high-risk types of human papillomavirus (HPV) has been identified as the primary cause of cervical cancer, only some of those infected go on to develop cervical cancer. Obviously, the progression from HPV infection to cancer involves other environmental and host factors. Recent population-based twin and family studies have demonstrated the importance of the hereditary component of cervical cancer, associated with genetic susceptibility. Consequently, single-nucleotide polymorphism (SNP) markers and microsatellites should be considered genetic factors for determining what combinations of genetic factors are involved in precancerous changes to cervical cancer. This study employs a Bayesian network and four different decision tree algorithms, and compares the performance of these learning algorithms. The results of this study raise the possibility of investigations that could identify combinations of genetic factors, such as SNPs and microsatellites, that influence the risk associated with common complex multifactorial diseases, such as cervical cancer.     

Medial axis transform on mesh-connected computers with hyperbus broadcasting

To represent a region of a digital image as the union of maximal upright squares contained in the region is called the medial axis transform. In this paper, we present anO(logn) time parallel algorithm for the medial axis transform of ann×n binary image on an SIMD mesh-connected computers with hyperbus broadcasting usingn ³ processors.     

面向股票交易分析场景的流式大数据系统测试框架

分布式集群环境使得数据实时计算更为复杂,流式大数据处理系统的正确性难以保障.现有的大数据基准测试框架可以测试流式大数据处理系统的性能表现,但是普遍存在应用场景设计简单、评价指标不充分等不足.针对这一挑战,本文构造了一个面向股票交易场景的流式大数据基准测试框架,通过生成股票高频交易数据,测试系统在高流速场景下的延迟、吞吐量、GC时间、CPU资源等的性能表现.同时,通过横向测试验证流式大数据系统的扩展性.本文以Apache Spark Streaming为待测系统进行测试,实验结果表明,高流速场景下出现延迟增加、GC时间提高等性能下降问题,原因是系统输入速率的提高及并行度的增加.     

一种改进的控制流SIMD向量化方法

SIMD扩展部件是近年来集成到通用处理器中的加速部件,旨在发掘多媒体和科学计算等程序的数据级并行.控制依赖给发掘程序中的数据级并行带来了阻碍,当前不论基于loop-based还是SLP的控制流向量化方法都需要if转换,而没有考虑循环内蕴含的向量并行度,导致生成的向量代码效率较低.此外不精确的代价模型指导控制流向量化,同样导致生成的向量代码效率较低.为此提出了改进的控制流SIMD向量化方法,首先提出了含有控制依赖的循环分布算法,分离循环的可向量化部分和不可向量化部分,同时考虑分布时数据的局部性;其次提出了一种直接向量化控制流的方法,该方法考虑了基本块间的向量重用;最后利用精确的代价模型指导超字选择指令和超字条件分支指令的生成.实验结果表明,与现有的控制流向量化方法相比,本文提出的改进方法生成的向量代码性能提高24%.     

Pressure influences on CO2 reaction with cyclohexylamine using ionic liquid as reaction medium and catalyst

Inserting carbon dioxide (CO₂) into ammonia molecules to produce urea is a traditional CO₂ utilization method. An ionic liquid (IL), 1-butyl-3-methylimidazolium bromide ([Bmim]Br), was used as reaction medium and [Bmim]Br/KOH as catalyst. This study investigates CO₂ carbonylation of cyclohexylamine and its reaction performance in a number of low- and high-pressure CO₂/IL systems. The reaction yield was greatly increased as pressure ranges changed from 15–50 bar to 80–100 bar; the physiochemical properties of substrates and catalyst were greatly affected by CO₂ in supercritical state. The yield was improved from 69% at 30 bar to 91.6% at 100 bar, much better than a previous study result of 53.5%, but as pressures further increased, a significant decrease was observed. The reaction activation energy was calculated to be 3.942 and 4.354 kcal/mol in mild and supercritical conditions. This process shows a low threshold reaction energy and great potential for industrial applications to store CO₂ in amine molecular structures.