Efficient parallel automata construction for hybrid resource-impelled data-matching

We are presenting an innovative, massively-parallel heterogeneous architecture for the very fast construction and implementation of very large Aho–Corasick and Commentz-Walter pattern-matching automata, commonly used in data-matching applications, and validate its use with large sets of data actively used in intrusion detection systems. Our approach represents the first known hybrid-parallel model for the construction of such automata and the first to allow self-adjusting pattern-matching automata in real-time by allowing full-duplex transfers at maximum throughput between the host (CPU) and the device (GPU). The architecture we propose is easily scalable to multi-GPU and multi-CPU systems and benefits greatly from GPU acceleration, also relying on a highly-efficient storage model for the automata and includes on-demand support for regular-expression matching, as well as support for custom heuristics to be built on top of the architecture, at different processing stages.     

A stochastic model for neutrons simulation considering the spectrum and nuclear properties with continuous dependence of energy

In this work we developed a stochastic model to simulate neutron transport in a heterogeneous medium, considering continuous neutron spectra and the nuclear properties with its continuous dependence on energy. This model was implemented using the Monte Carlo method for the propagation of neutrons in different media. Due to restrictions with respect to the number of neutrons that can be simulated in reasonable computational time we introduced a variable control volume together with (pseudo-) periodic boundary conditions in order to overcome this problem. This study allowed a detailed analysis of the influence of energy on the neutron population and its impact on the life cycle of neutrons. From the results, even for a simple geometrical arrangement, we can conclude that there is need to consider the energy dependence and hence defined a spectral effective multiplication factor per Monte Carlo step.     

Homogenization of material properties in additively manufactured structures

Additive manufacturing transforms material into three-dimensional parts incrementally, layer by layer or path by path. Subject to the build direction and machine resolution, an additively manufactured part deviates from its design model in terms of both geometry and mechanical performance. In particular, the material inside the fabricated part often exhibits spatially varying material distribution (heterogeneity) and direction dependent behavior (anisotropy), indicating that the design model is no longer a suitable surrogate to consistently estimate the mechanical performance of the printed component.We propose a new two-stage approach to modeling and estimating effective elastic properties of parts fabricated by fused deposition modeling (FDM) process. First, we construct an implicit representation of an effective mesoscale geometry–material model of the printed structure that captures the details of the particular process and published material information. This representation of mesoscale geometry and material of the printed structure is then homogenized at macro scale through a solution of an integral equation formulated using Green’s function. We show that the integral equation can be converted into a system of linear equations that is symmetric and positive definite and can be solved efficiently using conjugate gradient method and Fourier transform. The computed homogenized properties are validated by both finite element method and experiment results. The proposed two-stage approach can be used to estimate other effective material properties in a variety of additive manufacturing processes, whenever a similar effective mesoscale geometry–material model can be constructed.     

Heterogeneous Ir3Sn–CeO2/C as alternative Pt-free electrocatalysts for ethanol oxidation in acidic media

For reducing the Pt usage and driving down the cost of fuel cells, it is urgent to develop alternative Pt-free catalysts with high catalytic performance. In this study, an Ir₃Sn–CeO₂/C heterogeneous catalyst is designed as low-price, alternative Pt-free electrocatalyst towards ethanol oxidation reaction (EOR) in acidic conditions. Owing to the strong synergistic effect among Ir, Sn and CeO₂ components, Ir₃Sn–CeO₂/C heterogeneous catalyst exhibits higher catalytic activity and stability for EOR in comparison with commercial Pt/C, as-prepared Ir/C and Ir₃Sn/C. Additionally, kinetics and mechanisms of EOR are also investigated. It proves that ethanol electrooxidation on Ir₃Sn–CeO₂/C catalyst is a diffusion controlled irreversible process. Meanwhile, the H₂SO₄ and ethanol concentrations can affect the EOR activity. All results demonstrate Ir₃Sn–CeO₂/C heterogeneous catalyst is a promising Pt-free choice for EOR.     

Resource-awareness on heterogeneous MPSoCs for image processing

Multiprocessor system-on-chip (MPSoC) designs offer a lot of computational power assembled in a compact design. The computing power of MPSoCs can be further augmented by adding massively parallel processor arrays (MPPA) and specialized hardware with instruction-set extensions. On-chip MPPAs can be used to accelerate low-level image-processing algorithms with massive inherent parallelism. However, the presence of multiple processing elements (PEs) with different characteristics raises issues related to programming and application mapping, among others. The conventional approach used for programming heterogeneous MPSoCs results in a static mapping of various parts of the application to different PE types, based on the nature of the algorithm and the structure of the PEs. Yet, such a mapping scheme independent of the instantaneous load on the PEs may lead to under-utilization of some type of PEs while overloading others.In this work, we investigate the benefits of using a heterogeneous MPSoC for accelerating various stages within a real-world image-processing algorithm for object-recognition. A case study demonstrates that a resource-aware programming model called Invasive Computing helps to improve the throughput and worst observed latency of the application program, by dynamically mapping applications to different types of PEs available on a heterogeneous MPSoC.     

重塑“异质空间”唤起小镇新生——德国达豪集中营纪念地设计意匠解析

就像社会的“另类”人群一样，城市中存在着一些由于历史原因而遗留的，与原有城市的空间肌理、建筑形态大相径庭的异质空间。这类异质空间具有相当的历史意义和文化价值，但必须通过合理而富于创造性的改造设计使之重新融入到新的城市结构体系中，才能获得重生，否则将难以避免地被新的秩序所替代而最终走向消亡。本文以德国达豪集中营纪念地为例，详细分析了其设计对原有空间逻辑的延续与改造，引发了对利用异质空间营造城市纪念性空间的思考。     

"拓展型"CORS建设的关键技术研究

基于武汉城市圈CORS建设的经验,探讨了咸宁基准站的建设构想,从基准站的设计、选址、建造和数据通信、资源共享的异构、用户管理系统建设等关键技术问题提出了较详细的解决方案.     

Absence of expected side-reactions in the dehydration reaction of fructose to HMF in water over niobic acid catalyst

The catalytic dehydration of fructose (FRU) to 5-hydroxymethylfurfural (HMF) usually runs with the formation of several side products. Among these, levulinic acid (LA) is often reported as the product of a consecutive reaction of HMF re-hydration. In this work, side reactions of the dehydration of FRU performed in very green conditions (water as solvent and niobic acid as solid catalyst) are taken into account. Experimental evidences are given that, in the used conditions: i) HMF is a final stable product, ii) no formation of LA, either deriving from a consecutive reaction of HMF or directly from FRU transformation, was observed, and iii) LA does not react to give condensation products with any other chemical species present in the reaction mixture.     

Silica-supported quinine-CuBr catalyzed atom transfer radical polymerization of methyl methacrylate

9-Amino epi-quinine was used as a ligand in the atom transfer radical polymerization (ATRP) for the first time, and high monomer conversion as well as small polydispersity could be obtained. The 9-amino epi-quinine-containing organosilane was synthesized and immobilized onto three different silica supports, i.e., fumed SiO₂, SBA-15, and MCM-48, followed by complexing with CuBr. With the MCM-48 supported catalyst, polymerization of methyl methacrylate achieved high monomer conversion, small polydispersity, and low residual copper content in the product. This heterogeneous catalyst could also be recycled effectively.