Abstract: The invention relates to an explosive mass drop test device. Specifically, the present invention relates to a method of designing an explosive block drop test device to serve the explosion test process and meet the requirements for ensuring safety during the test. The present invention gives an example of a test device for dropping explosive masses in the range 50-300 kg. In addition, the structure is designed to be simple, easy to integrate and disassemble with the explosive block, the manipulation of dropped objects is simplified. The product of the present invention can be used to test the safety of explosive blocks.

Abstract: A fluidic device and a method of preventing isolation material from bleed-out therein is described herein. The fluidic device includes a bulk acoustic wave resonator structure defining at least one surface area region on which a functionalization material is disposed and the resonator structure includes a repelling area. The fluidic device also includes isolation material disposed on the resonator structure and away from the at least one surface area region. The repelling area is configured to prevent the isolation material from extending into the at least one surface area region. Further, an electronic board may be operably attached to the resonator structure and the isolation material may be disposed in a gap therebetween to electrically isolate electrical contacts and form a fluidic channel.

Abstract: Embodiments of the present invention proposes a method to automatically identify the flying targets by physical information (coordinates, heading, speed), time, and identification information (3/A code). This method includes two steps: features extraction and building machine learning model. In the features extraction step, features which are extracted include: cell indexes corresponding to coordinates, information of flight path, time in day/night format, heading, speed, and 3/A code, constructing n-dimensional vector. This vector is used as input for training a Random Forest model, to automatically identify class label of flying targets.

Abstract: A compact hyperspectral imager adapted to operate in harsh environments and to conduct post acquisition signal processing to provide automated and improved hyperspectral processing results is disclosed. The processing includes luminance and brightness processing of captured hyperspectral images, hyperspectral image classification and inverse rendering to produce luminance invariance image processing.

Abstract: A compact hyperspectral imager adapted to operate in harsh environments and to conduct post acquisition signal processing to provide automated and improved hyperspectral processing results is disclosed. The processing includes luminance and brightness processing of captured hyperspectral images, hyperspectral image classification and inverse rendering to produce luminance invariance image processing.

Abstract: A method and apparatus for intelligent network resource manager for distributed computing systems is provided. A first priority is assigned to a first virtual channel set that includes at least two virtual channels of a plurality of virtual channels associated with a physical communication channel. A second priority is assigned to a second virtual channel set that includes at least one virtual channel of the plurality of virtual channels. The first virtual channel set has more virtual channels than the second virtual channel set. Outbound messages of the first priority are directed to virtual channels of the first virtual channel set. Outbound messages of the second priority are directed to virtual channels of the second virtual channel set. The virtual channels are processed in a round-robin order, where processing includes sending the outbound messages over the physical communication channel.

Abstract: Embodiments of the present invention proposes a method to automatically identify the flying targets by physical information (coordinates, heading, speed), time, and identification information (3/A code). This method includes two steps: features extraction and building machine learning model. In the features extraction step, features which are extracted include: cell indexes corresponding to coordinates, information of flight path, time in day/night format, heading, speed, and 3/A code, constructing n-dimensional vector. This vector is used as input for training a Random Forest model, to automatically identify class label of flying targets.

Abstract: A method and apparatus for intelligent network resource manager for distributed computing systems is provided. A first priority is assigned to a first virtual channel set that includes at least two virtual channels of a plurality of virtual channels associated with a physical communication channel. A second priority is assigned to a second virtual channel set that includes at least one virtual channel of the plurality of virtual channels. The first virtual channel set has more virtual channels than the second virtual channel set. Outbound messages of the first priority are directed to virtual channels of the first virtual channel set. Outbound messages of the second priority are directed to virtual channels of the second virtual channel set. The virtual channels are processed in a round-robin order, where processing includes sending the outbound messages over the physical communication channel.

Abstract: A method of monitoring usage of a component of an aircraft can include: monitoring a usage of the component by using a torque measurement system to calculate torque events in a time period; categorizing the usage of the component by assigning a usage value based upon whether the number of torque events in the period of time is above or below a threshold; and determining a life used of the component.

Abstract: The present disclosure relates to a Wafer-Level-Packaged (WLP) Bulk Acoustic Wave (BAW) device that includes a BAW resonator, a WLP enclosure, and a surface mount connection structure. The BAW resonator includes a piezoelectric layer with an opening and a bottom electrode lead underneath the piezoelectric layer, such that a portion of the bottom electrode lead is exposed through the opening of the piezoelectric layer. The WLP enclosure includes a cap and an outer wall that extends from the cap toward the piezoelectric layer to form a cavity. The opening of the piezoelectric layer is outside the cavity. The surface mount connection structure covers a portion of a top surface of the cap and extends continuously over a side portion of the WLP enclosure and to the exposed portion of the bottom electrode lead through the opening of the piezoelectric layer.

Abstract: Embodiments of the present invention include the different methods for data fusion from multi dissimilar sensors to reduce the noise of the tracking the 3D target in Cartesian coordinates. Accuracy of this invention is precise and more stable than the conventional methods that use geometric calculations of 2D radars to track 3D targets. The results of this invention are using the same 3D radars in the tracking system. These methods are not only implemented in existing tracking centers, but also handle the tradeoff between the data transmission capacity at the command center and the computational speed of system. This invention performs the sequential steps: determining the dynamical motion model of target, state prediction and measurement update. Wherein, the variation of steps is shown in the embodiment of this invention by the following different approaches: selective measurement; parallel filtering; state vector fusion; feedback state vector fusion; measurement fusion state vector fusion.

Abstract: A method and apparatus for intelligent network resource manager for distributed computing systems is provided. A first priority is assigned to a first virtual channel set that includes at least two virtual channels of a plurality of virtual channels associated with a physical communication channel. A second priority is assigned to a second virtual channel set that includes at least one virtual channel of the plurality of virtual channels. The first virtual channel set has more virtual channels than the second virtual channel set. Outbound messages of the first priority are directed to virtual channels of the first virtual channel set. Outbound messages of the second priority are directed to virtual channels of the second virtual channel set. The virtual channels are processed in a round-robin order, where processing includes sending the outbound messages over the physical communication channel.

Abstract: A method and apparatus for intelligent network resource manager for distributed computing systems is provided. A first priority is assigned to a first virtual channel set that includes at least two virtual channels of a plurality of virtual channels associated with a physical communication channel. A second priority is assigned to a second virtual channel set that includes at least one virtual channel of the plurality of virtual channels. The first virtual channel set has more virtual channels than the second virtual channel set. Outbound messages of the first priority are directed to virtual channels of the first virtual channel set. Outbound messages of the second priority are directed to virtual channels of the second virtual channel set. The virtual channels are processed in a round-robin order, where processing includes sending the outbound messages over the physical communication channel.

Abstract: A method and device for eye gaze estimation with regard to a sequence of images. The method comprises receiving a sequence of first video images and a corresponding sequence of first eye images of a user watching at the first video images; determining first saliency maps associated with at least a part of the first video images; estimating associated first gaze points from the first saliency maps associated with the video images associated with the first eye images; storing of pairs of first eye images/first gaze points in a database; for a new eye image, called second eye image, estimating an associated second gaze point from the estimated first gaze points and from a second saliency map associated with a second video image associated with the second eye image; storing the second eye image and its associated second gaze point in the database.

Abstract: The invention relates to a method of gaze estimation. As to determine the position of the gaze without calibrating the system used for determining the gaze, the method comprises: detecting at least a location of the center of at least an eye on at least an eye image of a viewer watching at least a video image displayed on a screen; determining at least a first position of the gaze of the viewer on the screen by using the at least a detected location of the center of the at least an eye and a mapping function based on center-bias property of human gaze distribution. The invention also relates to a device configured for estimating the gaze.

Abstract: The present disclosure relates to a Wafer-Level-Packaged (WLP) Bulk Acoustic Wave (BAW) device that includes a BAW resonator, a WLP enclosure, and a surface mount connection structure. The BAW resonator includes a piezoelectric layer with an opening and a bottom electrode lead underneath the piezoelectric layer, such that a portion of the bottom electrode lead is exposed through the opening of the piezoelectric layer. The WLP enclosure includes a cap and an outer wall that extends from the cap toward the piezoelectric layer to form a cavity. The opening of the piezoelectric layer is outside the cavity. The surface mount connection structure covers a portion of a top surface of the cap and extends continuously over a side portion of the WLP enclosure and to the exposed portion of the bottom electrode lead through the opening of the piezoelectric layer.

Abstract: A compact hyperspectral imager adapted to operate in harsh environments and to conduct post acquisition signal processing to provide automated and improved hyperspectral processing results is disclosed. The processing includes luminance and brightness processing of captured hyperspectral images, hyperspectral image classification and inverse rendering to produce luminance invariance image processing.

Abstract: The invention relates to a method of gaze estimation. As to determine the position of the gaze without calibrating the system used for determining the gaze, the method comprises: detecting at least a location of the centre of at least an eye on at least an eye image of a viewer watching at least a video image displayed on a screen; determining at least a first position of the gaze of the viewer on the screen by using the at least a detected location of the centre of the at least an eye and a mapping function based on centre-bias property of human gaze distribution. The invention also relates to a device configured for estimating the gaze.

Abstract: A method and device for eye gaze estimation with regard to a sequence of images. The method comprises receiving a sequence of first video images and a corresponding sequence of first eye images of a user watching at the first video images; determining first saliency maps associated with at least a part of the first video images; estimating associated first gaze points from the first saliency maps associated with the video images associated with the first eye images; storing of pairs of first eye images/first gaze points in a database; for a new eye image, called second eye image, estimating an associated second gaze point from the estimated first gaze points and from a second saliency map associated with a second video image associated with the second eye image; storing the second eye image and its associated second gaze point in the database.

Abstract: A method and apparatus for intelligent network resource manager for distributed computing systems is provided. A first priority is assigned to a first virtual channel set that includes at least two virtual channels of a plurality of virtual channels associated with a physical communication channel. A second priority is assigned to a second virtual channel set that includes at least one virtual channel of the plurality of virtual channels. The first virtual channel set has more virtual channels than the second virtual channel set. Outbound messages of the first priority are directed to virtual channels of the first virtual channel set. Outbound messages of the second priority are directed to virtual channels of the second virtual channel set. The virtual channels are processed in a round-robin order, where processing includes sending the outbound messages over the physical communication channel.