Maneuverable strollers are disclosed. An example method for manufacturing a stroller includes mounting a front wheel to a frame; mounting a rear wheel and an intermediate wheel to a connector; and mounting the connector to the frame at a pivot axis such that the intermediate wheel is located between the front wheel and the rear wheel and the pivot axis is located between the rear wheel and the intermediate wheel.
Level sensors having conductive target movement sensing
are disclosed . An example level sensor includes a lever
operatively coupled to a sensing member , a target opera
tively coupled to the lever , where the target includes a
conductor , an inductive coil to generate a magnetic field and
measure feedback signatures associated with the target and
the magnetic field , and a processor to calculate a position of
the sensing member based on the feedback signatures .
An electroencephalography (EEG) system includes a dry electrode design having a jagged, angular, comb, etc. shaped support housing. Each dry electrode housing includes multiple electrodes where each electrode has multiple contacts for scalp placement with minimal interference from hair. Signals from individual contacts may be disregarded and each housing may provide one or more aggregated signals for data analysis. Each electrode may be placed in close proximity with neighboring electrodes as no conductive gel is required and may be attached to the scalp using straps, elastic cap, spring-type materials, tape, etc. The dry electrode design effectively measures bio-signals including neurological activity.
Methods, apparatus, systems and articles of manufacture to classify a first file are disclosed herein. Example apparatus include a feature hash generator to generate respective sets of one or more feature hashes for respective features of the first file. The number of the one or more feature hashes to be generated is based on an ability of the feature to distinguish the first file from a second file. The apparatus also includes a bit setter to set respective bits of a first fuzzy hash value based on respective ones of the one or more feature hashes, a classifier to assign the first file to a class associated with a second file based on a similarity between the first fuzzy hash value and a second fuzzy hash value for a second file.
Methods, apparatus, systems and articles of manufacture to perform dot product calculations using sparse vectors are disclosed. An example dot product calculator includes a first logic AND gate to perform a first logic AND operation with a first input vector and a second input vector, the first logic AND gate to output a control vector; a second logic AND gate to perform a second logic AND operation with a difference vector and an inverse of the control vector, the second logic AND gate to output a mask vector; a third logic AND gate to output a first vector; a first counter to generate a first ones count based on a first total number of ones of the first vector; a fourth logic AND gate to output a second vector; a second counter to generate a second ones count; and a multiplier to generate a product.