Abstract: The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output.

Abstract: An apparatus classifies touch events. The apparatus includes a touch sensitive surface configured to generate a touch event when an object touches the touch sensitive surface. The touch event entails a mechanical vibration upon contact with the surface. The apparatus includes a touch event detector configured to detect the onset of a touch, and a touch event classifier configured to classify the touch event to identify the object used for the touch event. The mechanical vibration is created via any one of finger parts including a tip, a pad, a fingernail, and a knuckle, each of which has a unique feature different from each other.

Abstract: A system for classifying touch events includes a touch screen configured to display an interactive element, one or more acoustic sensors coupled to the touch screen, a touch event detector configured to monitor the one or more acoustic sensors and to save acoustic signals sensed by the one or more acoustic sensors, wherein the touch event detector is further configured to detect touch events in which the interactive element is touched by a first or a second finger part of a user, and wherein the touch events result in generating the acoustic signals, and an acoustic classifier configured to classify the acoustic signals.

Abstract: An object recognition device that senses electrical signals conducted by the body of a human user (e.g., as a result of direct contact with or close proximity to a device emitting or conducting electromagnetic noise), compares the sensed electrical signals to a plurality of signatures of electrical signals produced by a corresponding plurality of types of electrical and electromechanical devices to determine the type of electrical or electromechanical device that generated the electrical signals sensed by the sensor, and communicates information to the human user related to or triggered by the electrical or electromechanical device.

Abstract: A system for classifying touch events includes a touch screen configured to display an interactive element, one or more vibro-acoustic sensors coupled to the touch screen, a touch event detector configured to monitor the one or more vibro-acoustic sensors and to save vibro-acoustic signals sensed by the one or more vibro acoustic sensors, wherein the touch event detector is further configured to detect touch events in which the interactive element is touched by a first or a second finger part of a user, and wherein the touch events result in generating the vibro-acoustic signals, and a vibro-acoustic classifier configured to classify the vibro-acoustic signals.

Abstract: Apparatus and methods for obtaining a data response of a fluid as a function of pressure of the fluid, and estimating a dew point pressure of the fluid by detecting an inflection pressure, a downward curve pressure, a characteristic change pressure, and an intersection pressure of the function representative of the data response. The estimated dew point pressure of the fluid based on at least one of the inflection pressure, the downward curve pressure, the characteristic change pressure, and the intersection pressure.

Abstract: An apparatus classifies touch events. The apparatus includes a touch sensitive surface configured to generate a touch event when an object touches the touch sensitive surface. The touch event entails a mechanical vibration upon contact with the surface. The apparatus includes a touch event detector configured to detect the onset of a touch, and a touch event classifier configured to classify the touch event to identify the object used for the touch event. The mechanical vibration is created via any one of finger parts including a tip, a pad, a fingernail, and a knuckle, each of which has a unique feature different from each other.

Abstract: A sensor including a vibrating wire is used to measure a dew point of a fluid.

Abstract: A downhole tool includes a membrane to separate water from a formation fluid and a meter that operates as a densitometer and a Coriolis effect flowmeter.

Abstract: Methods for obtaining in-situ, multi-temperature measurements of fluid properties, such as saturation pressure and asphaltene onset pressure, are provided. In one example, a sample of formation fluid is obtained using a downhole acquisition tool positioned in a wellbore in a geological formation. The downhole acquisition tool may be stationed at a first depth in the wellbore that has an ambient first temperature. While stationed at the first depth, the downhole acquisition tool may test a first fluid property of the sample to obtain a first measurement point at approximately the first temperature. The downhole acquisition tool may be moved to a subsequent station at a new depth with an ambient second temperature, and another measurement point obtained at approximately the second temperature. From the measurement points, a temperature-dependent relationship of the first fluid property of the first formation fluid may be determined.

Abstract: A method and apparatus for determining pitch and yaw of an elongated interface object as it interacts with a touchscreen surface. A touch image is received, and this touch image has at least a first area that corresponds to an area of the touchscreen that has an elongated interface object positioned at least proximate to it. The elongated interface object has a pitch and a yaw with respect to the touchscreen surface. A first transformation is performed to obtain a first transformation image of the touch image, and a second transformation is performed to obtain a second transformation image of the touch image. The first transformation differs from the second transformation. The yaw is determined for the elongated interface object based on both the first and second transformation images. The pitch is determined based on at least one of the first and second transformation images.

Abstract: A method for determining an asphaltene onset condition of a crude oil is provided. The method includes receiving a crude oil within a downhole tool inside a well and taking a first measurement of an optical property of the received crude oil. The method also includes lowering the pressure or temperature of the crude oil after taking the first measurement of the optical property to cause aggregation of asphaltenes in the crude oil, and then separating aggregated asphaltenes from the crude oil. Further, the method includes taking a second measurement of the optical property of the crude oil within the downhole tool after separating aggregated asphaltenes from the crude oil and determining an asphaltene onset condition of the crude oil through comparison of the first and second measurements of the optical property. Additional methods, systems, and devices are also disclosed.

Abstract: A method and an apparatus for characterizing a fluid provide for flowing a sample fluid through a microfluidic flow line in a first direction and into contact with a microfluidic sensor, measuring a property of the fluid sample using the microfluidic sensor; and after measuring the property of the fluid sample, flushing the microfluidic sensor by flowing a solvent through the microfluidic flow line in a second direction that is opposite the first direction.

Abstract: Systems and methods for obtaining in-situ measurements of mixed formation fluids are provided. A downhole acquisition tool may move to a first station in a wellbore in a geological formation to collect a sample of first formation fluid from the first station. The downhole acquisition tool may move to a second station in the wellbore and a sample of second formation fluid may be collected. A proportion of the first formation fluid and the second formation fluid may be mixed within the downhole acquisition tool in-situ while the downhole acquisition tool is within the wellbore to obtain a formation fluid mixture. The formation fluid mixture may be passed into a fluid testing component of the downhole acquisition tool while the downhole acquisition tool is in the wellbore to measure fluid properties of the formation fluid mixture in-situ.

Abstract: Methods and systems for capturing, transmitting and processing data for generating ratings relating to multimedia programming based on passively obtained user cues are disclosed herein.

Abstract: A vibrating-tube fluid measurement device includes an electrical isolator formed of glass, wherein the vibrating tube is mounted to a base block via the electrical isolator and electrically isolated from the base block via the electrical isolator.

Abstract: An object recognition device that senses electrical signals conducted by the body of a human user (e.g., as a result of direct contact with or close proximity to a device emitting or conducting electromagnetic noise), compares the sensed electrical signals to a plurality of signatures of electrical signals produced by a corresponding plurality of types of electrical and electromechanical devices to determine the type of electrical or electromechanical device that generated the electrical signals sensed by the sensor, and communicates information to the human user related to or triggered by the electrical or electromechanical device.

Abstract: Accurate, real-time formation fluids analysis can be accomplished using the systems and techniques described herein. A fluid analyzer includes a first mode of analysis, such as an optical analyzer, configured to determine a physical (optical) property of a fluid sample. The fluid analyzer also includes another mode of analysis, such as a composition analyzer, such as a gas chromatograph, configured to determine a component composition of the fluid sample. A data processor is configured to determine a quantity, such as a weight percentage, of a target component of the fluid sample in response results obtained from the first and second modes of analysis. Beneficially, the results are obtained at least in near real-time, allowing for interim results, such as results from the first analyzer to be used for one or more of tuning the compositional analyzer and for implementing quality control.

Abstract: A method for determining an asphaltene onset condition of a crude oil is provided. The method includes receiving a crude oil within a downhole tool inside a well and taking a first measurement of an optical property of the received crude oil. The method also includes lowering the pressure or temperature of the crude oil after taking the first measurement of the optical property to cause aggregation of asphaltenes in the crude oil, and then separating aggregated asphaltenes from the crude oil. Further, the method includes taking a second measurement of the optical property of the crude oil within the downhole tool after separating aggregated asphaltenes from the crude oil and determining an asphaltene onset condition of the crude oil through comparison of the first and second measurements of the optical property. Additional methods, systems, and devices are also disclosed.

Abstract: A wellbore tool for determining a speed of sound of a fluid sample, such as a hydrocarbon sample or a wellbore fluid, is described herein. The wellbore tool includes a photoacoustic system for analyzing the fluid sample. The photoacoustic system includes a laser system that generates a laser pulse, an interface disposed between the fluid sample and the laser system, and an acoustic detector that receives an acoustic pulse that is generated in response to absorption of the laser pulse. The acoustic pulse is generated when the laser pulse is absorbed by the fluid sample or the interface. This acoustic pulse then moves through the fluid sample and is detected by the acoustic detector. The acoustic pulse is then used to determine a speed of sound of the fluid sample.