Reduction of Detailed Chemical Reaction Networks for Detonation

While a detailed mechanism represents the state-of-the-art of what is known about a reaction network, its direct implementation in a fully resolved CFD simulation is all but impossible (except for the simplest systems) with the computational power available today. This paper discusses the concept of Intrinsic Low Dimensional Manifold (ILDM), a technique that systematically reduces the complexity of detailed mechanisms. The method, originally devel-oped for combustion systems, has been successfully extended and applied to gaseous detonation simulations 2,3,4 . Unfortunately, while a one-dimensional ILDM is reasonably easy to compute, manifolds of higher dimensions are notoriously difficult. Moreover, the selec-tion of the manifold dimension has been largely arbitrary, with a one-dimensional ILDM being the most popular if for no other rea-son than that it is easiest to compute and store. In this paper, we will present a technique that enables us to quanti-tatively determine the dimensionality of the ILDM needed, as well as a robust and embarrassingly parallel algorithm for computing high-dimensional ILDMs. Finally, these techniques are demon-strated in the context of a one-dimensional ZND detonation with detailed chemistry

A Level Set Approach to Eulerian-Lagrangian Coupling

We present a numerical method for coupling an Eulerian compressible flow solver with a Lagrangian solver for fast transient problems involving fluid-solid interactions. Such coupling needs arise when either specific solution methods or accuracy considerations necessitate that different and disjoint subdomains be treated with different (Eulerian or Lagrangian)schemes. The algorithm we propose employs standard integration of the Eulerian solution over a Cartesian mesh. To treat the irregular boundary cells that are generated by an arbitrary boundary on a structured grid, the Eulerian computational domain is augmented by a thin layer of Cartesian ghost cells. Boundary conditions at these cells are established by enforcing conservation of mass and continuity of the stress tensor in the direction normal to the boundary. The description and the kinematic constraints of the Eulerian boundary rely on the unstructured Lagrangian mesh. The Lagrangian mesh evolves concurrently, driven by the traction boundary conditions imposed by the Eulerian counterpart. Several numerical tests designed to measure the rate of convergence and accuracy of the coupling algorithm are presented as well. General problems in one and two dimensions are considered, including a test consisting of an isotropic elastic solid and a compressible fluid in a fully coupled setting where the exact solution is available

Robust recognition and segmentation of human actions using HMMs with missing observations

This paper describes the integration of missing observation data with hidden Markov models to create a framework that is able to segment and classify individual actions from a stream of human motion using an incomplete 3D human pose estimation. Based on this framework, a model is trained to automatically segment and classify an activity sequence into its constituent subactions during inferencing. This is achieved by introducing action labels into the observation vector and setting these labels as missing data during inferencing, thus forcing the system to infer the probability of each action label. Additionally, missing data provides recognition-level support for occlusions and imperfect silhouette segmentation, permitting the use of a fast (real-time) pose estimation that delegates the burden of handling undetected limbs onto the action recognition system. Findings show that the use of missing data to segment activities is an accurate and elegant approach. Furthermore, action recognition can be accurate even when almost half of the pose feature data is missing due to occlusions, since not all of the pose data is important all of the time

Easy orientation of diblock copolymers on self-assembled monolayers using UV irradiation

A simple method based on UV/ozone treatment is proposed to control the surface energy of dense grafted silane layers for orientating block copolymer mesophases. Our method allows one to tune the surface energy down to a fraction of a mN/m. We show that related to the surface, perpendicular orientation of a lamellar phase of a PS-PMMA diblock copolymer (neutral surface) is obtained for a critical surface energy of 23.9-25.7 mN/m. Perpendicular cylinders are obtained for 24.6 mN/m and parallel cylinders for 26.8 mN/m.Comment: 3 figures, 1 tabl

On positive real functions

Call number: LD2668 .R4 1966 W87

Implementation of Web-based Event-driven Activity Execution in CapBasED-AMS

The CapBasED-AMS (Capability-based and Event-driven Activity Management System) is a workflow system developed in [5] deals with the management and execution of activities. A Problem Solving Agent (PSA) is a human, or a hardware system, or a software system having an ability to execute activities. An activity consists of multiple inter-dependent tasks that need to be coordinated, scheduled and executed by a set of PSAs. The activity execution is based on the occurrence of events. That is, a PSA after completion of a task (atomic activity) generates events, which are captured by the activity management system, for initiating the execution of the next task. In this paper, we describe three-tier system architecture to implement Web-based event-driven activity execution of CapBasED-AMS

Introduction to Deep Learning, Ubiquitous and Toy Computing Minitrack

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A Preliminary Study of Research-Driven University Spin-off Companies in UAE

Entrepreneurship is the procedure of a new business development to make a profit in the market. In many countries, Technology Transfer Offices (TTOs) in research-driven universities serve as an intermediary between suppliers of innovations and those who can potentially commercialize them. TTOs are always run as cost-centers on campus, often have business or operation managers, and facilitate intellectual property licensing activities. In the United Arab Emirates (UAE), TTOs are taking an important role in the evolution of a successful spin-off company from innovation to production to sales to sustainable profit. An innovative technology may be a research outcome and seem to have value as an application or product with commercial potential in the market. In this context, TTOs often support spin-off companies becoming a learning organization and easing into an articulated management of activities complementary to the research and design activities that create the innovation and drive the transition from innovation to product lines. That is, even though such academic entrepreneurs have built and run entities that are similar to small businesses, and even though these entrepreneurs have learned how to secure and manage revenues to sustain cash flows for their companies, they still may not be sustainable in the market. The long term of this research study aims to investigate the current situation of research-driven university entrepreneurship in UAE. This paper presents a preliminary study of two TTOs: Etisalat BT Innovation Center (EBTIC) at Khalifa University and Masdar Institute