A smart voltage and current monitoring system for three phase inverters using an android smartphone application

In this paper, a new smart voltage and current monitoring system (SVCMS) technique is proposed. It monitors a three phase electrical system using an Arduino platform as a microcontroller to read the voltage and current from sensors and then wirelessly send the measured data to monitor the results using a new Android application. The integrated SVCMS design uses an Arduino Nano V3.0 as the microcontroller to measure the results from three voltage and three current sensors and then send this data, after calculation, to the Android smartphone device of an end user using Bluetooth HC-05. The Arduino Nano V3.0 controller and Bluetooth HC-05 are a cheap microcontroller and wireless device, respectively. The new Android smartphone application that monitors the voltage and current measurements uses the open source MIT App Inventor 2 software. It allows for monitoring some elementary fundamental voltage power quality properties. An effort has been made to investigate what is possible using available off-the-shelf components and open source software

Emerging Technologies, Signal Processing and Statistical Methods for Screening of Cervical Cancer In Vivo: Are They Good Candidates for Cervical Screening?

The current cervical cancer screening test (the Pap smear) is a manual cytological procedure. This cytology test has various limitations and many errors. Excellent candidates for improving the performance of the cervical cancer screening procedure are electro-optical systems (EOSs), used for assessment of the cervical cancer precursors in vivo, such as digital spectroscopy, digital colposcopy and bioelectrical phenomena-based systems. These EOSs use the advantages of signal processing methods and can replace the qualitative assessments, with objective metrics. The EOSs can be used as an adjunct to the current screener or as a primary screener. We analyse and discuss the effectiveness of the signal processing and statistical methods for diagnosis of cervical cancer in vivo. This analysis is reinforced by the presentation of the scientific and clinical contributions of these methods in clinical practice. As a result of this analysis, we outline and discuss the well-established estimates of the signal processing features and the ambiguous features, that are used for classification of the cervical pre-cancer in vivo

Active Contour Model Based Segmentation of Colposcopy Images of Cervix Uteri Using Gaussian Pyramids

Colposcopic images from cervix uteri are subjected to a segmentation algorithm using a combination of an active contour model or snakes on multiresolution levels, using a Gaussian Pyramid (GP). The segmentation aims to outline a specific feature from the cervical images- the Transformation Zone (TZ), where a possible neoplasia (a pre-cancer or cancer tissue stage) can occur. The process includes an implementation of a new snake - the boundary-searching snake, based on both image gradient features and region features. The adaptive 'snake' is executed on a low image resolution level, aiming to avoid a specific artifact in the images-known as a specular reflection. Further, the snake coordinates are propagated to the highest level of the GP. The resulting algorithm segments one of the most complex and variable anatomical shapes as a biological structure in its normal and pre-cancerous stages of the cervix uteri

On the identity of broad-shelled mussels (Mollusca, Bivalvia, Mytilus) from the Dutch delta region

Late Quaternary (Eemian) deposits of the Netherlands contain shells that resemble those of living Mytilus galloprovincialis. Similar broad-shelled mytilids also occur in estuaries of the southwestern Netherlands together with slender individuals typical of M. edulis. We sampled living mussels along a depth gradient in the Oosterschelde to a) investigate whether a relation exists between shell shape and depth, b) test if the broadshelled specimens might represent M. galloprovincialis (or a hybrid with M. edulis) and c) assess by inference if the Quaternary specimens might be attributed to M. galloprovincialis as well. In order to do so, we compared genetic (length polymorphism of Me 15/16, COIII sequences and AFLPs) and shellmorphological characteristics (juvenile L/W ratios and socalled Verduin parameters) of the same specimens. The obtained dataset indicates that all studied mussels from the Oosterschelde should be attributed to M. edulis, including those with broad shell outlines. No correlation of shell-morphology and depth-distribution was found. The worn and generally damaged state of the Eemian specimens precluded measurement of the Verduin parameters, while juvenile L/W ratios turned out not to be diagnostic. Therefore the shell characters examined in this study are insufficient to demonstrate the possible presence of M. galloprovincialis shells in Quaternary deposits of the Netherlands.

A smart distance power electronic measurement using smartphone applications

The objectives of this article were to design a low-cost three-phase AC voltage measurement circuit and new Android smartphone application to monitor the measuring voltage from a safe distance. The smart distance power electronic measurement (SDPEM) system was designed based on an Arduino UNO R3 board used as a microcontroller to read and calculate the RMS values from a three-phase AC voltage measurement circuit (line-to-line or phase voltage of grid). Following this, the microcontroller sends the measuring data by Bluetooth to an Android smartphone application. The Bluetooth shield V2.0 was used as a wireless communication instrument between the SDPEM and the smartphone or tablet application. The smartphone monitoring application was a new application designed by the open-source developed program (MIT App Inventor 2) to monitor the three-phase AC voltage results from a safe distance. The safe distance depends on the type of Bluetooth device used. The main advantages of the SDPEM system are low cost and safety