Routing Using Safe Reinforcement Learning

The ever increasing number of connected devices has lead to a metoric rise in the amount data to be processed. This has caused computation to be moved to the edge of the cloud increasing the importance of efficiency in the whole of cloud. The use of this fog computing for time-critical control applications is on the rise and requires robust guarantees on transmission times of the packets in the network while reducing total transmission times of the various packets. We consider networks in which the transmission times that may vary due to mobility of devices, congestion and similar artifacts. We assume knowledge of the worst case tranmssion times over each link and evaluate the typical tranmssion times through exploration. We present the use of reinforcement learning to find optimal paths through the network while never violating preset deadlines. We show that with appropriate domain knowledge, using popular reinforcement learning techniques is a promising prospect even in time-critical applications

A Visual Tool to Improve Layered Manufacturing Part Quality

A software tool is described that will aid the user in. choosing the optimum build orientation to obtain the ..best composite set of surface finishes on a part built .on a Fused Deposition Modeling (FDM) rapid prototyping machine.• Experiments were conducted to obtain statistical .surface roughness values as a function of orientation and layer thickness.Three types of surfaces (features}.have been. considered planar (both upward facing and downward facing (over hang surfaces)),.quadratic and free form Surfaces..Data analysis of surface roughness of planar surfaces at various orientations·and their mapping. to. quadratic and freeform surfaces are presented. decision support software tool allows dynamic .. color-coded visualization of the surface quality simultaneous with build parameters including orientation and layer thickness.Mechanical Engineerin

IDEAS project - Data Informed Platform for Health feasibility study in Uttar Pradesh

The IDEAS project sought to improve the health and survival of mothers and babies through generating evidence to inform policy and practice. This data collection contains topic guides and other research tools used to assess the feasibility of introducing a Data Informed Platform for Health (DIPH), in order to bring together key data from the public and private health sector on inputs and processes that may influence maternal and newborn health. The DIPH was intended to promote the use of local data for decision-making and priority setting at local health administration level, and for programme appraisal and comparison at regional and zonal level

A Generative Product-of-Filters Model of Audio

We propose the product-of-filters (PoF) model, a generative model that decomposes audio spectra as sparse linear combinations of "filters" in the log-spectral domain. PoF makes similar assumptions to those used in the classic homomorphic filtering approach to signal processing, but replaces hand-designed decompositions built of basic signal processing operations with a learned decomposition based on statistical inference. This paper formulates the PoF model and derives a mean-field method for posterior inference and a variational EM algorithm to estimate the model's free parameters. We demonstrate PoF's potential for audio processing on a bandwidth expansion task, and show that PoF can serve as an effective unsupervised feature extractor for a speaker identification task.Comment: ICLR 2014 conference-track submission. Added link to the source cod

Carrier multiplication yields in CdSe and CdTe nanocrystals by transient photoluminescence

Engineering semiconductors to enhance carrier multiplication (CM) could lead to increased photovoltaic cell performance and a significant widening of the materials range suitable for future solar technologies. Semiconductor nanocrystals (NCs) have been proposed as a favourable structure for CM enhancement, and recent measurements by transient absorption have shown evidence for highly efficient CM in lead chalcogenide and CdSe NCs. We report here an assessment of CM yields in CdSe and CdTe NCs by a quantitative analysis of biexciton and exciton signatures in transient photoluminescence decays. Although the technique is particularly sensitive due to enhanced biexciton radiative rates relative to the exciton, kradBX > 2 kradX, we find no evidence for CM in CdSe and CdTe NCs up to photon energies E > 3 Eg, well above previously reported relative energy thresholds.Comment: 9 pages, 6 figure