Solid-state spectrometer

A solid-state gas spectrometer for detection of molecules of target gases. An emitter generates light having wavelengths both within and outside of one or more absorption bands of a target molecule. The light provided by the emitter passes through an airway adapter. A reflective beam splitter splits the light transmitted through the airway adapter, into two convergent beams each focused on a light detector. One of the light detectors, which is covered by a filter that rejects light having wavelengths within one or more absorption bands of the target molecule, serves as the sensing detector. The other light detector, which may or may not be covered by a filter, serves as the reference detector. The concentration of a target gas molecule in the gas sample is estimated based on a differential signal that is generated using the signals received from the reference and sensing detectors.

Data path virtualization

In a particular embodiment, a virtual namespace identifier is mapped to one or more volumes stored among a pool of storage resources, wherein at least a first storage system and a second storage system are utilized to provide the storage resources. The virtual namespace identifier is migrated among the pool of storage resources to virtualize a data path for the one or more volumes.

GENERATING SPATIAL ARRAYS WITH GRADIENTS

The present disclosure relates to materials and methods for generating spatial arrays with gradients and using the generated spatial arrays to identify the location of analytes present in a biological sample.

METHODS OF USING MASTER / COPY ARRAYS FOR SPATIAL DETECTION

This disclosure provides methods for spatial profiling of biological analytes present in a biological sample. Methods include generating feature arrays using a master/copy format using recessed arrays, and methods for using such arrays. For example spatially-tagged analyte capture analytes can be used in spatial detection in methods to determine the location of analytes (e.g., proteins) in biological samples.

Security lifecycle management of devices in a communications network

Described herein are complete lifecycle management processes for IoT/M2M devices, which are commissioned and de-commissioned in a given system without requiring a user/human administrator. A delegated life-cycle management process is described, wherein devices rely upon a delegatee, which may have more computing and battery resources than the devices. Further, a Trust Enabling Infrastructure (TEI) is described herein, which may belong to a different trusted domain than the given device and its delegatee. A device in response to powering on for the first time, registers with a trust enabling infrastructure (TEI) and generates one or more credentials based on the registration with the TEI so as to define a trust relationship with the TEI. After the registration, the device receives one or more security components and policies from the TEI and installs the one or more security components so as to define a secure environment.

Integrated home scoring system

A processor-implemented method is disclosed. The method includes: obtaining sensor readings from a plurality of sensors associated with a plurality of homes; receiving, from a computing device associated with a first one of the plurality of homes, a request for a live home score; determining, based on first sensor readings for at least one sensor associated with the first one of the plurality of homes and second sensor readings from corresponding sensors associated with at least a second one of the plurality of homes, a live home score for the first one of the plurality of homes; and sending the live home score to the computing device associated with the first one of the plurality of homes.

Systems, methods, and devices for electronic spectrum management for identifying signal-emitting devices

Apparatus and methods for identifying a wireless signal-emitting device are disclosed. The apparatus is configured to sense and measure wireless communication signals from signal-emitting devices in a spectrum. The apparatus is operable to automatically detect a signal of interest from the wireless signal-emitting device and create a signal profile of the signal of interest; compare the signal profile with stored device signal profiles for identification of the wireless signal-emitting device; and calculate signal degradation data for the signal of interest based on information associated with the signal of interest in a static database including noise figure parameters of a wireless signal-emitting device outputting the signal of interest. The signal profile of the signal of interest, profile comparison result, and signal degradation data are stored in the apparatus.

Light weight and real time slam for robots

Some aspects include a method for operating a cleaning robot, including: capturing LIDAR data; generating a first iteration of a map of the environment in real time; capturing sensor data from different positions within the environment; capturing movement data indicative of movement of the cleaning robot; aligning and integrating newly captured LIDAR data with previously captured LIDAR data at overlapping points; generating additional iterations of the map based on the newly captured LIDAR data and at least some of the newly captured sensor data; localizing the cleaning robot; planning a path of the cleaning robot; and actuating the cleaning robot to drive along a trajectory that follows along the planned path by providing pulses to one or more electric motors of wheels of the cleaning robot.

Automatic discovery of cloud-based infrastructure and resources

A discovery computing system may receive an account identifier (ID) and a set of credentials required to access a first service account. The discovery computing system may transmit a first API query to a remote computing system. The discovery computing system may receive an organization identifier (ID) of the organization from the remote computing system. The discovery computing system may further transmit a second API query to the remote computing system. The discovery computing system may be further configured to receive information about a set of projects, in the organization, from the remote computing system. The discovery computing system may further generate a set of service accounts and further determine the set of resources, in the remote computing system, associated with each of the generated set of service accounts. The discovery computing system may further store the determined set of resources, as configuration items in a persistent storage.

Devices and systems for urine collection

A urine collection device includes a collection member extending from a proximal end to a distal end. The proximal end includes an opening that provides access to an internal cavity of the collection member. The internal cavity includes a first chamber in fluid communication with a second chamber. The urine collection device includes a spacer in the second chamber, a first attachment member extending from a bottom wall of the collection member at the proximal end, a second attachment member extending from a top wall of the collection member at the proximal end, and an outlet for egressing urine from the internal cavity of the collection member. The first attachment member defines an aperture. The collection member is suitable to (i) direct urine from the first chamber to the second chamber and (ii) direct the urine in the second chamber distally toward the outlet.