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In responding to the demand for vaccine outreach solutions in remote off-grid areas in developing countries, Intellectual Ventures Global Good developed a highly-efficient vaccine storage and PCM (Phase Change Material) freezing device prototype, called Arktek SDD (Solar Direct Drive). A final design and product, which may differ in certain details from the prototype, will be developed by Global Good's...
Over the past few years, there has been a trend of increasing demand for faster data rate and shorter delay in wireless communication. Because data rate and delay are both directly related to bandwidth consumption, the trend produces the imminent problem of reaching the bandwidth limit. The cap on available bandwidth forces allocation to be the focus of responses to the trend. In this article, the...
This paper presents a new neural network based method for the segmentation of sky from video data collected from a vehicle with a fixed camera position. Using a combination of spatial information, a neural network and thresholding, a high degree of success has been achieved with the images tested. Having the approximate location of the sky allows for an initial starting point for segmentation to be...
Ensemble classifiers are very useful tools which can be applied for classification and prediction tasks in many real-world applications. There are many popular ensemble classifier generation techniques including neural network based techniques. However, there are many problems with ensemble classifiers when we apply them to real-world data of different size. This paper presents and investigates an...
We present the D-OPM, a model that extends the Open Provenance Model (OPM) with workflow-specific aspects. In particular, our model captures aspects such as the workflow structure, traces, data structure, and workflow evolution. Thus, it enables scientists to obtain detailed information about the origin of data resulting from past experiments, as well as about the process itself and its possible future...
Neural networks provide an alternative approach for the solution of complex non-linear data fitting problems. In this paper, we propose a novel technique using a multilayer perceptron neural network to fit high energy stopping power data, where the unknown stopping power functional form was fitted to experimental data by a set of linear combination of neurons. The projectiles of Li, B, N, O, Ne and...
There are many methodologies aiming at how to make huge cost savings, in the world. However, since these methodologies are not upon the financial system in manufacturing, the huge costs saved are not payable by banks. A new methodology is proposed herewith, which is strictly upon financial system in manufacturing, and therefore, the huge costs saved are payable by banks anytime, anywhere. Also, some...
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