Abstract: A slide carrier includes: a base support; and a slide platform having a surface that is parallel to a first plane defined by a first vector and a second vector, wherein a vector extending in a direction opposite to the direction of gravity is normal with respect to a second plane defined by a third vector and a fourth vector, an angle between the first vector and the third vector is greater than zero degrees and less than 90 degrees, and an angle between the second vector and the fourth vector is greater than zero degrees and less than 90 degrees.

Abstract: A method of determining any offset between: a scale axis of a disc scale member having a planar surface on which is provided a series of scale features defining a scale that extends and is centred around the scale axis, the scale axis extending normal to the planar surface; and the axis of rotation of a machine part on which the disc scale member is mounted, wherein the axis of rotation and the scale axis of the disc scale member are substantially parallel. The method includes: determining any offset between the scale axis and the axis of rotation via inspection of an axially-extending surface provided with the disc scale member.

Abstract: This flip flop accessory holds a flip flop more securely to the foot when the wearer wants to run, jump, walk backwards, or dangle their feet—activities where flip flops often dislodge. It is comprised of two anchoring points screws on either side of the sole and an elastic cord that attaches to the screws and wraps around the ankle. The wearer screws anchoring screws into the sides of the sole, wraps the cord around the ankle looping the ends around the anchor screws, and then adjusts the length of the cord to maximize comfort and functionality.

Abstract: An automated tote routing systems that includes a conveyer belt, an array of sensors underneath the conveyer belt, and an identifier reader disposed with respect to the conveyer belt is discussed. The conveyer belt can be configured to receive a tote filled with physical objects. The array of sensors can detect a first set of attributes associated with the physical objects within the tote. The identifier reader can read and decode an identifier from a machine-readable element disposed on the tote. The array of sensors and identifier reader can transmit the first set of attributes and the identifier to a computing system. Based on the set of information associated with the physical objects and the set of attributes associated with the physical objects, a routing module executed by the computing system can automatically trigger the conveyer belt to route the tote to a selected distribution end of the conveyor belt.

Abstract: This flip flop accessory holds a flip flop more securely to the foot when the wearer wants to run, jump, walk backwards, or dangle their feet—activities where flip flops often dislodge. It is comprised of two anchoring points screws on either side of the sole and an elastic cord that attaches to the screws and wraps around the ankle. The wearer screws anchoring screws into the sides of the sole, wraps the cord around the ankle looping the ends around the anchor screws, and then adjusts the length of the cord to maximize comfort and functionality.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxiliary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Abstract: An automated tote routing systems that includes a conveyer belt, an array of sensors underneath the conveyer belt, and an identifier reader disposed with respect to the conveyer belt is discussed. The conveyer belt can be configured to receive a tote filled with physical objects. The array of sensors can detect a first set of attributes associated with the physical objects within the tote. The identifier reader can read and decode an identifier from a machine-readable element disposed on the tote. The array of sensors and identifier reader can transmit the first set of attributes and the identifier to a computing system. Based on the set of information associated with the physical objects and the set of attributes associated with the physical objects, a routing module executed by the computing system can automatically trigger the conveyer belt to route the tote to a selected distribution end of the conveyor belt.

Abstract: A secure passive RFID tag system comprises at least one base station and at least one passive RFID tag. The tag includes a fiber optic cable with the cable ends sealed within the tag and the middle portion forming an external loop. The loop may be secured to at least portions of an object. The tag transmits and receives an optical signal through the fiber optic cable, and the cable is configured to be damaged or broken in response to removal or tampering attempts, wherein the optical signal is significantly altered if the cable is damaged or broken. The tag transmits the optical signal in response to receiving a radio signal from the base station and compares the transmitted optical signal to the received optical signal. If the transmitted optical signal and the received optical signal are identical, the tag transmits an affirmative radio signal to the base station.

Abstract: Subscription based multiple-input-single-output and multiple-input-multiple-output wireless energy transfer enables selective charging and powering of mobile devices using a plurality of spatially distributed transmitters that are synchronized under the control of a transmitter controller. Amplitude, phase, and frequency of each transmitter is controlled to promote or deny the transfer of energy to particular mobile devices or positions through optimization techniques based on the incident power level at each mobile device subscribing to the system. Measurements related to the incident power level may be directly provided by the mobile device or the incident power is remotely determined through analysis of backscatter gains.

Abstract: A sensor may include a first substrate having a sensing portion defining a sensor thereon and configured to be percutaneously inserted into a patient, and an extracorporeal circuit mounting portion defining at least one electrically conductive pad that is electrically connected to the sensor. The sensor may produce a signal indicative of a condition of the patient. An anisotropic medium may be disposed on the circuit mounting portion and may be electrically conductive in a direction through the medium and electrically insulating in directions along the medium. A second substrate may be mechanically mounted to the circuit mounting portion of the first substrate via the anisotropic medium with at least one electrically conductive terminal juxtaposed over the at least one electrically conductive pad. The anisotropic medium may establish local electrical contact between the at least one electrically conductive terminal and the at least one electrically conductive pad.

Abstract: A sensor may include a substrate having a sensing portion defining a sensor thereon and a circuit mounting portion defining at least one electrically conductive pad that is electrically connected to the sensor. The sensor may be configured to produce a signal indicative of a condition of the patient. An anisotropic medium may be disposed on the circuit mounting portion and may be electrically conductive in a direction through the medium and electrically insulating in directions along the medium. An electrical circuit may be mechanically mounted to the circuit mounting portion of the first substrate via the anisotropic medium with at least one electrically conductive terminal juxtaposed over the at least one electrically conductive pad. The anisotropic medium may establish local electrical contact between the at least one electrically conductive terminal and the at least one electrically conductive pad.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Multi-sensor compressive imaging systems can include an imaging component (such an an RF, microwave, or mmW metamaterial surface antenna) and an auxialiary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.

Abstract: Multi-sensor compressive imaging systems can include an imaging component (such an RF, microwave, or mmW metamaterial surface antenna) and an auxiliary sensing component (such as an EO/IR sensor). In some approaches, the auxiliary sensing component includes a structured light sensor configured to identify the location or posture of an imaging target within a field of view of the imaging component. In some approaches, a reconstructed RF, microwave, or mmW image may be combined with a visual image of a region of interest to provide a multi-spectral representation of the region of interest.

Abstract: A secure optionally passive RFID tag or sensor system comprises a passive RFID tag having means for receiving radio signals from at least one base station and for transmitting radio signals to at least one base station, where the tag is capable of being powered exclusively by received radio energy, and an external power and data logging device having at least one battery and electronic circuitry including a digital memory configured for storing and recalling data. The external power and data logging device has a means for powering the tag, and also has a means.

Abstract: The present disclosure provides a semi-analytic inversion method that computes an approximate, sparse representation of the data in terms of the (a, T1, T2). Methods, in accordance with the present disclosure, compute T2's in a semi-analytic fashion, such as by using simultaneous Hankel representation of the data, use one dimensional convex optimization to compute the amplitudes, a, and finally compute T1 in an analytic fashion by appropriate averaging techniques. The proposed method provides a more efficient way to represent the data when compared to linearized methods, and is computationally less demanding when compared to some existing nonlinear optimization methods.

Abstract: Compressive imaging captures images in compressed form, where each sensor does not directly correspond with a pixel, as opposed to standard image capture techniques. This can lead to faster image capture rates due to lower I/O bandwidth requirements, and avoids the need for image compression hardware, as the image is captured in compressed form. Measuring the transformation of an emitted multimodal signal is one method of compressive imaging. Metamaterial antennas and transceivers are well suited for both emitting and receiving multimodal signals, and are thus prime candidates for compressive imaging.