1,101 research outputs found
Can Developmental AIS Provides Immunity to a Multi-cellular Robotics System?
The major challenge to multi-cellular robotics system is how to ensure the system is homeostatically stable. This position paper pro- poses a developmental artificial immune system (dev-AIS) framework that tries to provide and maintain homeostasis to the multi-cellular robotics system. If immunity is defined as the ability to maintain home- ostasis; the dev-AIS framework will be designed based on the under- standing and the abstraction of how different organisms attain for this property through evolution and developmental process. Early form of In- nate Immunity evolve from the predator-and-anti prey relationship of the single-celled organism. Progress in evolution drove the evolution of im- munity from this simple relationship to the development of the immune system in multi-cellular organisms
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Just a Preference
A critical body politics lens to sexual desire and attraction, told from the perspective of an autoethnography.Nault, Curran J.Women's and Gender Studie
Stability and convergence analysis of high-order numerical schemes with DtN-type absorbing boundary conditions for nonlocal wave equations
The stability and convergence analysis of high-order numerical approximations
for the one- and two-dimensional nonlocal wave equations on unbounded spatial
domains are considered. We first use the quadrature-based finite difference
schemes to discretize the spatially nonlocal operator, and apply the explicit
difference scheme to approximate the temporal derivative to achieve a fully
discrete infinity system. After that, we construct the Dirichlet-to-Neumann
(DtN)-type absorbing boundary conditions (ABCs) to reduce the infinite discrete
system into a finite discrete system. To do so, we first adopt the idea in [Du,
Zhang and Zheng, \emph{Commun. Comput. Phys.}, 24(4):1049--1072, 2018 and Du,
Han, Zhang and Zheng, \emph{SIAM J. Sci. Comp.}, 40(3):A1430--A1445, 2018] to
derive the Dirichlet-to-Dirichlet (DtD)-type mappings for one- and
two-dimensional cases, respectively. We then use the discrete nonlocal Green's
first identity to achieve the discrete DtN-type mappings from the DtD-type
mappings. The resulting DtN-type mappings make it possible to perform the
stability and convergence analysis of the reduced problem. Numerical
experiments are provided to demonstrate the accuracy and effectiveness of the
proposed approach.Comment: 26 pages, 4 figure
Offline Reinforcement Learning for Wireless Network Optimization with Mixture Datasets
The recent development of reinforcement learning (RL) has boosted the
adoption of online RL for wireless radio resource management (RRM). However,
online RL algorithms require direct interactions with the environment, which
may be undesirable given the potential performance loss due to the unavoidable
exploration in RL. In this work, we first investigate the use of \emph{offline}
RL algorithms in solving the RRM problem. We evaluate several state-of-the-art
offline RL algorithms, including behavior constrained Q-learning (BCQ),
conservative Q-learning (CQL), and implicit Q-learning (IQL), for a specific
RRM problem that aims at maximizing a linear combination {of sum and}
5-percentile rates via user scheduling. We observe that the performance of
offline RL for the RRM problem depends critically on the behavior policy used
for data collection, and further propose a novel offline RL solution that
leverages heterogeneous datasets collected by different behavior policies. We
show that with a proper mixture of the datasets, offline RL can produce a
near-optimal RL policy even when all involved behavior policies are highly
suboptimal.Comment: This paper is the camera ready version for Asilomar 202
System-level design, simulation and measurement for high-speed data links
The era of the internet-of-things (IOT) is expanding the utilization of mobile and cloud computing to a global scale. The enormous data transport places a huge design overhead in building low-cost, low-power, low-error-rate high-speed data links. This thesis provides a system-level overview of the design, simulation, and measurement of high-speed digital applications in the context of signal integrity. Examples are provided to demonstrate the design approach and trade-offs made to arrive at the results. Modeling and simulation methodologies for high-speed interconnect are discussed and studied, using both conformal mapping and the variational method in closed-form solutions, with examples provided to study the frequency-dependent channel effects in high-speed digital systems. Detailed processes along with examples are presented at the end to illustrate some real-world issues many engineers will face when characterizing and measuring high-speed data links
Modeling the effect of shroud contact and friction dampers on the mistuned response of turbopumps
The contract has been revised. Under the revised scope of work a reduced order model has been developed that can be used to predict the steady-state response of mistuned bladed disks. The approach has been implemented in a computer code, LMCC. It is concluded that: the reduced order model displays structural fidelity comparable to that of a finite element model of an entire bladed disk system with significantly improved computational efficiency; and, when the disk is stiff, both the finite element model and LMCC predict significantly more amplitude variation than was predicted by earlier models. This second result may have important practical ramifications, especially in the case of integrally bladed disks
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