Additive manufacturing, such as fused deposition modeling (FDM), has been increasingly employed to produce microfluidic platforms due to ease of use, wide distribution of affordable 3D printers and relatively inexpensive materials for printing. In this work, we discuss fabrication and testing of an FDM-printed fully automated colorimetric enzyme-linked immunosorbent assay (ELISA) designed to de...

1. Location map of selected fault-controlled valleys in western Idaho and northeastern Oregon 3 2. Plot of all scarp height and slope angle values obtained in this study 5 3. Map of sackung features, vegetation lineaments, and landslide headscarps on West Mountain 6 4. Map of Meadows Valley, showing approximate trace of Meadows Valley fault zone 8 5. Surficial geologic map of the north end of M...

This paper suggests a fast and low-cost method that can be applied in several DC/DC converter topologies for detecting open circuit faults (OCFs) short (SCFs). The suggested may identify the of power switches even if they occur simultaneously multi-phase interleaved boost converters (MPh-IBC) by using just sensors needed to control converter. fault detection (FDM) is based mainly on comparing m...

A segmentation scheme to detect surface defects is proposed. An unsupervised neural network, the SelfOrganizing Map, is used to estimate the distribution of faulty-free samples. An unknown sample is classified as a defect if it differs enough from this estimated distribution. A new scheme for determining this difference is suggested. The scheme makes use of the Voronoi set of each map unit and ...

abstract aim of this research is landslide hazard zoning in syahdare watershed using logistic regression. therefore, outset landslide points recognized using air photography and extensive field studies. then distribution of landslide map was makes. then each effective element on landslide occurred for example slope, aspect, elevation, litho logy, land use, distance of road, distance of drainage...

Induction machines play an important role in today’s industries. How to monitoring, detection, classification, and diagnosis of induction machine faults have been the essential problems. Although there have been many methods proposed to deal with these problems, there is lack of visualization tool for understanding the problems more easily. In this paper, a visualization method is proposed to h...

Proton nuclear magnetic resonance ((1)H NMR) spectroscopy for detection of biochemical changes in biological samples is a successful technique. However, the achieved NMR resolution is not sufficiently high when the analysis is performed with intact cells. To improve spectral resolution, high resolution magic angle spinning (HR-MAS) is used and the broad signals are separated by a T(2) filter ba...

In this paper we generalize the framework of the feasible descent method (FDM) to a randomized (R-FDM) and a coordinate-wise random feasible descent method (RC-FDM) framework. We show that the famous SDCA algorithm for optimizing the SVM dual problem, or the stochastic coordinate descent method for the LASSO problem, fits into the framework of RC-FDM. We prove linear convergence for both R-FDM ...